diff --git a/.github/workflows/docker-image.yml b/.github/workflows/docker-image.yml new file mode 100644 index 0000000..caab92b --- /dev/null +++ b/.github/workflows/docker-image.yml @@ -0,0 +1,22 @@ +name: Publish to CANFAR + +on: + push: + branches: [ "main" ] + pull_request: + branches: [ "main" ] + +jobs: + + build: + + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v3 + - name: Build and Push the SSIM Docker image + run: | + docker build --target deploy --build-arg VERSION=python -t ssim:python -f Dockerfile . + docker login --username ${{ secrets.IMAGES_CANFAR_LOGIN}} --password ${{ IMAGES_CANFAR_TOKEN}} + docker push ssim:python + - diff --git a/.gitignore b/.gitignore index 5e7553f..d9205f5 100644 --- a/.gitignore +++ b/.gitignore @@ -1,13 +1,22 @@ .idea __pycache__ +__version__.py build OSSOSv11/ OSSOSv11.tgz .DS_Store *.log -*.ipynb -ossssim.egg-info -SurveySubsF95.py +.ipynb_checkpoints +*.swp *.so +*.o +*.fpp +*.mod *.icloud dist +Rebound_Archive*.bin +.python-version +uv.lock +bdir +.vscode +*.egg-info diff --git a/Docker/Dockerfile b/Docker/Dockerfile new file mode 100644 index 0000000..67b3a90 --- /dev/null +++ b/Docker/Dockerfile @@ -0,0 +1,79 @@ +# this builds a container that can be used to run the SurveySimulator (python and fortran) +# This container is loaded into the canfar Science Portal for use/execution. +# Can also be used directly with docker. +FROM condaforge/miniforge3:latest as base +# FROM jupyter/scipy-notebook as base +# USER root +# ENV DEBIAN_FRONTEND="noninteractive" +RUN apt -y -q update +RUN apt -y -q install curl wget man man-db git build-essential zip unzip xdg-utils less emacs nano xterm vim rsync tree gfortran +RUN apt -y install python3-numpy +RUN apt -y -q install meson ninja-build + + + +# SKAHA system settings and permissions +RUN apt install -y -q sssd libnss-sss libpam-sss +COPY etc/nofiles.conf /etc/security/limits.d/ +COPY etc/nsswitch.conf /etc/ +## see https://bugzilla.redhat.com/show_bug.cgi?id=1773148 +RUN touch /etc/sudo.conf && echo "Set disable_coredump false" > /etc/sudo.conf +# generate missing dbus uuid (issue #47) +RUN dbus-uuidgen --ensure + + +# setup this container for skaha launching +COPY etc/startup.sh /skaha/startup.sh +RUN chmod +x /skaha/startup.sh + + +# setup a the needed python environment +# RUN apt-get update && yes | apt-get install python3.11 pip +# RUN yes | apt install python3.12-venv +# RUN python3 -m venv /opt/SSim/venv +RUN pip install jupyter +RUN pip install cadctap +RUN pip install vos +RUN pip install scipy +RUN pip install astropy +RUN pip install astroquery +RUN pip install matplotlib +RUN pip install f90wrap +# RUN pip install git+https://github.com/jameskermode/f90wrap +RUN pip install rebound +RUN pip3 install astroplan +RUN pip install Deprecated +RUN pip install canfar + + +# Build the SSim +RUN mkdir -p /opt/SSim/fortran +COPY fortran /opt/SSim/fortran +COPY python /opt/SSim/python +WORKDIR /opt/SSim/fortran/F95 + +# install Fortran based binary of SSim +RUN make clean && make Driver GIMEOBJ=ReadModelFromFile +RUN cp Driver /usr/local/bin/SSim +# RUN echo ttf-mscorefonts-installer msttcorefonts/accepted-mscorefonts-eula select true | debconf-set-selections +# RUN apt-get install -y ttf-mscorefonts-installer + +# install the Python based version of SSim +FROM base as deploy +WORKDIR /opt/SSim/python +# RUN pip install . +# RUN python setup.py install + +# Two build sets, deploy and test +FROM base as test + +RUN mkdir -p /arc/home +RUN groupadd -g 1001 testuser +RUN useradd -u 1001 -g 1001 -s /bin/bash -d /arc/home/testuser -m testuser +RUN chown -R testuser /opt/SSim +WORKDIR /opt/SSim/python +# RUN pip3 install -e . +USER testuser +WORKDIR /arc/home/testuser +COPY etc/ReadModelFromFile.in ./ +ENTRYPOINT ["/skaha/startup.sh"] diff --git a/Makefile b/Docker/Makefile similarity index 86% rename from Makefile rename to Docker/Makefile index f96b95c..6ec5c89 100644 --- a/Makefile +++ b/Docker/Makefile @@ -2,7 +2,7 @@ REPO = images.canfar.net PROJECT = uvickbos DEVNAME = ssim -VERSION = python +VERSION = 3.0 NAME = $(REPO)/$(PROJECT)/$(DEVNAME) @@ -14,6 +14,7 @@ deploy: production dev: dependencies Dockerfile docker build --target test --build-arg VERSION=$(VERSION) -t $(NAME):$(VERSION) -f Dockerfile . + echo "docker run --rm -it -p 8888:8888 $(NAME):$(VERSION) bash" dependencies: diff --git a/README_CANFAR_DOCKER.md b/Docker/README.md similarity index 100% rename from README_CANFAR_DOCKER.md rename to Docker/README.md diff --git a/etc/ReadModelFromFile.in b/Docker/etc/ReadModelFromFile.in similarity index 100% rename from etc/ReadModelFromFile.in rename to Docker/etc/ReadModelFromFile.in diff --git a/etc/nofiles.conf b/Docker/etc/nofiles.conf similarity index 100% rename from etc/nofiles.conf rename to Docker/etc/nofiles.conf diff --git a/etc/nsswitch.conf b/Docker/etc/nsswitch.conf similarity index 100% rename from etc/nsswitch.conf rename to Docker/etc/nsswitch.conf diff --git a/etc/startup.sh b/Docker/etc/startup.sh similarity index 100% rename from etc/startup.sh rename to Docker/etc/startup.sh diff --git a/Dockerfile b/Dockerfile deleted file mode 100644 index 2df45d1..0000000 --- a/Dockerfile +++ /dev/null @@ -1,61 +0,0 @@ -# this builds a container that can be used to run the SurveySimulator (python and fortran) -# This container is loaded into the canfar Science Portal for use/execution. -# Can also be used directly with docker. -FROM ubuntu:latest as deploy -USER root -RUN apt-get update && yes | unminimize -RUN apt-get update && yes | apt-get install wget man man-db manpages-posix git \ - build-essential zip unzip xdg-utils less emacs nano xterm vim rsync tree gfortran - - -# SKAHA system settings and permissions -RUN apt-get update && yes | apt-get install sssd libnss-sss libpam-sss -COPY etc/nofiles.conf /etc/security/limits.d/ -COPY etc/nsswitch.conf /etc/ -## see https://bugzilla.redhat.com/show_bug.cgi?id=1773148 -RUN touch /etc/sudo.conf && echo "Set disable_coredump false" > /etc/sudo.conf -# generate missing dbus uuid (issue #47) -RUN dbus-uuidgen --ensure - -# setup this container for skaha launching -COPY etc/startup.sh /skaha/startup.sh -RUN chmod +x /skaha/startup.sh - - -# setup a the needed python environment -RUN apt-get update && yes | apt-get install python3 pip -RUN pip3 install cadctap -RUN pip3 install vos -RUN pip3 install numpy -RUN pip3 install scipy -RUN pip3 install astropy -RUN pip3 install --pre astroquery -RUN pip3 install matplotlib -RUN pip3 install f90wrap -RUN pip3 install rebound -RUN pip3 install jupyter -RUN pip3 install jupyterlab - -# Build the SSim -RUN mkdir /opt/SSim -RUN mkdir /opt/SSim/fortran -COPY fortran/F95 /opt/SSim/fortran/F95 -COPY python /opt/SSim/python -WORKDIR /opt/SSim/fortran/F95 -RUN make clean && make Driver GIMEOBJ=ReadModelFromFile -RUN cp Driver /usr/local/bin/SSim -WORKDIR /opt/SSim/python -RUN pip install . - -RUN pip3 install astroplan - -# Two build sets, deploy and test -FROM deploy as test -RUN echo "Adding a test user to run local testing" -RUN mkdir -p /arc/home -RUN groupadd -g 1001 testuser -RUN useradd -u 1001 -g 1001 -s /bin/bash -d /arc/home/testuser -m testuser -USER testuser -WORKDIR /arc/home/testuser -COPY etc/ReadModelFromFile.in ./ -ENTRYPOINT ["/skaha/startup.sh"] diff --git a/fortran/F95/Driver.f95 b/F95/Driver.f95 similarity index 98% rename from fortran/F95/Driver.f95 rename to F95/Driver.f95 index 8976ea4..44aef75 100644 --- a/fortran/F95/Driver.f95 +++ b/F95/Driver.f95 @@ -46,15 +46,16 @@ program Driver use gimeobjut use surveysub + use debug implicit none - integer, parameter :: n_obj_max = 10000, screen = 6, keybd = 5, verbose = 9 + integer, parameter :: n_obj_max = 10000, screen = 6, keybd = 5 integer :: lun_h, lun_t type(t_orb_m) :: o_m ! color array NEEDS to be length 10 or more! real (kind=8) :: h, epoch, m_int, d_ra, d_dec, r, delta, ra, dec, random, & - mt, color(10), gb, ph, period, amp, jday_p, m_rand, eff, rn_iter, & + mt, color(128), gb, ph, period, amp, jday_p, m_rand, eff, rn_iter, & eff_lim, h_rand integer :: n_hits, n_track, ierr, seed, flag, isur, ic, n_iter, & n_track_max, nchar, values(8), c_idx, i1, i2 @@ -69,6 +70,9 @@ program Driver lun_t = 11 keep_going = .true. +! setup debuging from CL args + call debug_init_from_args() + ! Get arguments ! Seed for random number generator read (5, *, err=9999) seed @@ -171,6 +175,7 @@ program Driver ! Determine if the object would be detected call Detos1 (o_m, epoch, h, color, gb, ph, period, amp, survey_dir, seed, & + debug_on, & flag, ra, dec, d_ra, d_dec, r, delta, m_int, m_rand, eff, isur, mt, & jday_p, ic, surna, h_rand, ierr) diff --git a/fortran/F95/InnerHotModel.f95 b/F95/InnerHotModel.f95 similarity index 100% rename from fortran/F95/InnerHotModel.f95 rename to F95/InnerHotModel.f95 diff --git a/F95/Makefile b/F95/Makefile new file mode 100644 index 0000000..f0bbf7d --- /dev/null +++ b/F95/Makefile @@ -0,0 +1,105 @@ +# Things that are needed fort the CLI (User interface) +U = modelutils GiMeObj +OBJU = $(addsuffix .o,${U}) +SRCU = $(addsuffix .f95,${U}) +FPPU = $(addsuffix .fpp,${U}) +MODU = $(addsuffix .mod,${U}) + +# Things that should end up with python module access +M = datadec ioutils surveysub +OBJM = $(addsuffix .o,${M}) +SRCM = $(addsuffix .f95,${M}) +FPPM = $(addsuffix .fpp,${M}) +MODM = $(addsuffix .mod,${M}) +F90M = $(addsuffix .f90,${M}) +F90_WRAP_M = $(addprefix f90wrap_,${F90M}) + +# Things that should be in the library +A = parameters poly_dec datadec common_data debug poly_lib ioutils elemutils rot effut xvutils numutils getsur surveysub +OBJA = $(addsuffix .o,${A}) +SRCA = $(addsuffix .f95,${A}) +FPPA = $(addsuffix .fpp,${A}) +MODA = $(addsuffix .mod,${A}) + +# SSIM = SurveySubsF95 +MODULE ?= SurveySubs +GOBJ = GiMeObjF95 + + +FC = gfortran +FPP = gfortran -E -x f95-cpp-input -fPIC -DPYTHON +# FPP_F90FLAGS = -x f95-cpp-input -fPIC + + +FFLAGS = -O3 -fPIC -x f95-cpp-input +FFLAGP = -O3 +CFLAGS = +CPPFLAGS = +LIBTOOL = ar src +BUILD_DIR = meson +KIND_MAP = kind_map +F2PYFLAGS = --build-dir $(BUILD_DIR) --fcompiler=gfortran + + +.PHONY: all clean + +# TOPTARGETS := clean +# use the GIMEOBJ from the command line or the default value of InnerHotModel +GIMEOBJ ?= InnerHotModel + +# $(TOPTARGETS): $(SSIM) + +# .PHONY: $(SUBDIRS) + +# $(SUBDIRS): +# $(MAKE) -C $@ $(MAKECMDGOALS) + +all: $(MODULE) + +test: + $(MAKE) -s -C tests test LANGUAGE=F95 + +%.fpp : %.f95 + $(FPP) $< -o $@ + +%.o : %.f95 + $(FC) $(FFLAGS) -c $< + +.PHONY: clean + +clean: rmtmp + rm -f _$(MODULE)*.so _$(GOBJ)*.so _$(IOBJ)*.so _$(ROBJ)*.so Driver GiMeObj.f95 + rm -rf $(BUILD_DIR) libsrc.a + +rmtmp: + rm -f *~ *.o *.mod *.fpp f90wrap*f90 SimulDetect.dat SimulTrack.dat + rm -f $(IOBJ).py $(ROBJ).py $(MODULE).py $(GOBJ).py _$(MODULE)*.so + rm -f *.log LOG .f2py_f2cmap + +.PHONY: link + +link: + \rm -f GiMeObj.f95 + \rm -f GiMeObj.o + ln -s $(GIMEOBJ).f95 GiMeObj.f95 + +Driver: link Driver.f95 $(OBJA) $(OBJU) Makefile GiMeObj.f95 + $(FC) $(FFLAGP) -o Driver $(OBJA) $(OBJU) Driver.f95 + +magerr: link magerr.f95 $(OBJU) ${SRCM} Makefile + $(FC) $(FFLAGP) -o magerr $(OBJU) ${SRCM} magerr.f95 + rm GiMeObj.f95 + +libsrc.a: ${OBJA} + ${LIBTOOL} $@ $? + +Modules: _$(MODULE).so Makefile + echo "Modules have been built" + +$(MODULE): Makefile $(FPPM) libsrc.a + f90wrap -m $(MODULE) $(FPPM) -k $(KIND_MAP) -v -P > f90wrap.log 2>&1 + mkdir -p $(BUILD_DIR) + ln -s -f $(CURDIR)/*.mod $(BUILD_DIR)/ + f2py-f90wrap $(F2PYFLAGS) -c -m _$(MODULE) $(F90_WRAP_M) -lsrc -L$(CURDIR) > f2py_f90wrap.log 2>&1 + \rm f90wrap*.f90 *.fpp *.o *.mod .f2py_f2cmap libsrc.a + \rm -r $(BUILD_DIR) diff --git a/fortran/F95/README.md b/F95/README.md similarity index 100% rename from fortran/F95/README.md rename to F95/README.md diff --git a/fortran/F95/README.modelutils b/F95/README.modelutils similarity index 100% rename from fortran/F95/README.modelutils rename to F95/README.modelutils diff --git a/fortran/F77/README_surveysubs.txt b/F95/README_surveysubs.txt similarity index 100% rename from fortran/F77/README_surveysubs.txt rename to F95/README_surveysubs.txt diff --git a/fortran/F95/ReadModelFromFile.f95 b/F95/ReadModelFromFile.f95 similarity index 89% rename from fortran/F95/ReadModelFromFile.f95 rename to F95/ReadModelFromFile.f95 index 57a7bfe..0c93f62 100644 --- a/fortran/F95/ReadModelFromFile.f95 +++ b/F95/ReadModelFromFile.f95 @@ -39,16 +39,19 @@ module gimeobjut ! epoch : epoch of the orbital elements, in Julian Day (R8) ! h : absolute magnitude of object in band filter "x" (R8) ! color : array of colors "y-x", where the index of "y" is as -! described in detos1 (10*R8) -! color(1) : g-x -! color(2) : r-x -! color(3) : i-x -! color(4) : z-x -! color(5) : u-x -! color(6) : V-x -! color(7) : B-x -! color(8) : R-x -! color(9) : I-x +! described in detos1 (128*R8) +! see ioutils.filter_to_index subroutine for code to convert from filter +! letter to color array index and parameters has a filter array that lists +! the expected order of the filters in non-ecsv headers +! color(39) : g-x +! color(50) : r-x +! color(41) : i-x +! color(58) : z-x +! color(53) : u-x +! color(22) : V-x +! color(2) : B-x +! color(18) : R-x +! color(9) : I-x ! gb : opposition surge factor, Bowell formalism (R8) ! ph : phase of lightcurve at epoch [rad] (R8) ! period: period of lightcurve [day] (R8) @@ -106,15 +109,20 @@ subroutine GiMeObj (filena, seed, o_m, epoch, h, color, gb, ph, period, & ! epoch : Time of elements [JD] (R8) ! h : Absolute magnitude of object in 'x' band, what ever this is (R8) ! color : Array of colors (10*R8) -! colors(1) : g-x -! colors(2) : r-x -! colors(3) : i-x -! colors(4) : z-x -! colors(5) : u-x -! colors(6) : V-x -! colors(7) : B-x -! colors(8) : R-x -! colors(9) : I-x +! New process for colors uses IACHAR(FILTER)+1 : FILTER - X +! to determine offset. e.g. 1 below becomes IACHAR('g')+1 +! Array is read from file in order below and mapped into and +! out of 'color' array using IACHAR(FILTER)-IACHAR('A')+1 +! see ioutils.filter_to_index subroutine for actual code. +! color(39) : g-x +! color(50) : r-x +! color(41) : i-x +! color(58) : z-x +! color(53) : u-x +! color(22) : V-x +! color(2) : B-x +! color(18) : R-x +! color(9) : I-x ! gb : opposition surge factor, Bowell formalism (R8) ! ph : phase of lightcurve at epoch [rad] (R8) ! period: period of lightcurve [day] (R8) @@ -161,7 +169,7 @@ subroutine GiMeObj (filena, seed, o_m, epoch, h, color, gb, ph, period, & integer, intent(inout) :: seed integer, intent(out) :: ierr, nchar type(t_orb_m), intent(out) :: o_m - real (kind=8), intent(out) :: epoch, h, color(10), gb, ph, period, amp + real (kind=8), intent(out) :: epoch, h, color(128), gb, ph, period, amp character(*), intent(in) :: filena character(100), intent(out) :: commen @@ -184,7 +192,8 @@ subroutine GiMeObj (filena, seed, o_m, epoch, h, color, gb, ph, period, & ! in 'x' band obj_jday(n_obj_max), &! Array of times of elements [JD] random, &! Random number - color0(10) ! Color parameters of model + color0(128) ! Color parameters of model + integer :: ic ! the index of the survey filter into the filters array character(5) :: zone ! Time zone character(8) :: date ! Date of execution character(10), save :: time ! Time of execution @@ -237,11 +246,12 @@ subroutine GiMeObj (filena, seed, o_m, epoch, h, color, gb, ph, period, & ! Get new objects. If this is the first call to GetDistrib, it will ! first open the data file, otherwise, will simply return the following ! objects. When reaching the end of the file, returns "ierr_d = 30". + color0 = 0.0d0 call GetDistrib (filena, lun_d, n_obj_max, n_obj, obj_o, & - obj_h, obj_jday, color0, comp, ierr_d) + obj_h, obj_jday, color, comp, ierr_d) if (n_obj <= 0 .and. ierr_d /= 30) then - write (screen, *) 'Got zero objects from file but not at end' + write (6, *) 'Got zero objects from file but not at end' ierr = -20 return end if @@ -267,6 +277,7 @@ subroutine GiMeObj (filena, seed, o_m, epoch, h, color, gb, ph, period, & ierr = -20 return end if + ! map from fixed order color0 array to ascii ordered color array end if ! Ok, now we have data to send back 100 continue @@ -308,11 +319,6 @@ subroutine GiMeObj (filena, seed, o_m, epoch, h, color, gb, ph, period, & period = period0 amp = amp0 -! Get colors for object - do ierr_d = 1, 10 - color(ierr_d) = color0(ierr_d) - end do - ! Prepare return code ierr = 0 if (i_obj .eq. n_obj) then @@ -444,7 +450,7 @@ subroutine read_obj (filen, lun_in, o_m, h, jday, color, co, ierr, line) real (kind=8), save :: jd real (kind=8), parameter :: Pi = 3.141592653589793238d0, drad = Pi/180.0D0 integer, parameter :: nw_max = 20 - integer :: lun_in, ierr, j, nw, lw(nw_max) + integer :: lun_in, ierr, j, nw, lw(nw_max), idx, ic character(*) :: filen character(200) :: line character(80) :: word(nw_max) @@ -458,7 +464,7 @@ subroutine read_obj (filen, lun_in, o_m, h, jday, color, co, ierr, line) open (unit=lun_in, file=filen, status='old', err=1000) opened = .true. jd = -1.d0 - color(1:10) = 0.d0 + color(1:10) = 0.d0 end if 1500 continue @@ -471,7 +477,11 @@ subroutine read_obj (filen, lun_in, o_m, h, jday, color, co, ierr, line) read (line(26:100), *, err=1500, end=1500) jd end if if (line(1:10) .eq. '# Colors =') then - read (line(11:), *, err=1500, end=1500) (color(j),j=1,10) + call parse (line(11:), nw_max, nw, word, lw) + do idx = 1, nw + ic = filter_to_index(filters(idx:idx)) + read (word(idx), *, err=1500, end=1500) color(ic) + end do end if goto 1500 end if diff --git a/fortran/F95/SS_Input_Formats/2013AE.eff b/F95/SS_Input_Formats/2013AE.eff similarity index 100% rename from fortran/F95/SS_Input_Formats/2013AE.eff rename to F95/SS_Input_Formats/2013AE.eff diff --git a/fortran/F95/SS_Input_Formats/2013AO.eff b/F95/SS_Input_Formats/2013AO.eff similarity index 100% rename from fortran/F95/SS_Input_Formats/2013AO.eff rename to F95/SS_Input_Formats/2013AO.eff diff --git a/fortran/F95/SS_Input_Formats/README.formats b/F95/SS_Input_Formats/README.formats similarity index 100% rename from fortran/F95/SS_Input_Formats/README.formats rename to F95/SS_Input_Formats/README.formats diff --git a/fortran/F95/SS_Input_Formats/README.ossos b/F95/SS_Input_Formats/README.ossos similarity index 100% rename from fortran/F95/SS_Input_Formats/README.ossos rename to F95/SS_Input_Formats/README.ossos diff --git a/fortran/F95/SS_Input_Formats/Template.eff b/F95/SS_Input_Formats/Template.eff similarity index 100% rename from fortran/F95/SS_Input_Formats/Template.eff rename to F95/SS_Input_Formats/Template.eff diff --git a/fortran/F95/SS_Input_Formats/pointings.list b/F95/SS_Input_Formats/pointings.list similarity index 100% rename from fortran/F95/SS_Input_Formats/pointings.list rename to F95/SS_Input_Formats/pointings.list diff --git a/F95/common_data.f95 b/F95/common_data.f95 new file mode 100644 index 0000000..53325f9 --- /dev/null +++ b/F95/common_data.f95 @@ -0,0 +1,8 @@ +module common_data +implicit none +logical, save :: first +integer, save :: iff + data first /.true./ + data iff /0/ +end module common_data + diff --git a/fortran/F95/datadec.f95 b/F95/datadec.f95 similarity index 62% rename from fortran/F95/datadec.f95 rename to F95/datadec.f95 index d6e6452..647a53c 100644 --- a/fortran/F95/datadec.f95 +++ b/F95/datadec.f95 @@ -1,22 +1,8 @@ module datadec + use parameters use poly_dec - ! define length of array parameters - integer, parameter :: n_sur_max = 200, n_bin_max=30, n_r_max=10, & - nw_max = 10 - - ! define some useful constants - real (kind=8), parameter :: Pi = 3.141592653589793238d0, drad = Pi/180.0D0, & - TwoHours = 2.d0/24.d0, TwoPi = 2.0d0*Pi, eps = 1.d-14 - real (kind=8), parameter :: gmb = 1.d0+1.d0/6023600.0d0+1.d0/408523.71d0 & - +1.d0/328900.56d0+1.d0/3098708.0d0+1.d0/1047.3486d0+1.d0/3497.898d0 & - +1.d0/22902.98d0+1.d0/19412.24d0+1.d0/1.35d8 - - ! Internal variables - real (kind=8) :: om_lim_low, om_lim_high - common /om_lim_com/ om_lim_low, om_lim_high - ! define data type to represent survey efficiency and pointings, and objects type t_ratecut real (kind=8) :: min, max, angle, hwidth @@ -48,7 +34,8 @@ module datadec type t_charact type(t_ratecut) :: r_cut real (kind=8) :: mag_er(6), photf(3), track(3) - integer :: f, nr + character :: f + integer :: nr type(t_eff_r), dimension(n_r_max) :: eff_p end type t_charact @@ -60,4 +47,8 @@ module datadec type(t_polygon) :: poly type(t_charact) :: c end type t_pointing + +contains + + end module datadec diff --git a/F95/debug.f95 b/F95/debug.f95 new file mode 100644 index 0000000..3215cb0 --- /dev/null +++ b/F95/debug.f95 @@ -0,0 +1,139 @@ +! Created by on 2025-11-11. + +module debug + IMPLICIT NONE + INTEGER, PARAMETER :: STRLEN = 256 + + LOGICAL :: debug_on = .FALSE. + INTEGER :: debug_lvl = 0 + INTEGER :: log_unit = 6 ! default to stdout (*) + LOGICAL :: log_opened = .FALSE. + +! PUBLIC :: debug_init_from_args, debug_set, debug_set_logfile +! PUBLIC :: dbg_enabled, dbg_print, assert_ok, debug_level + +CONTAINS + + SUBROUTINE debug_set(on, level) + LOGICAL, INTENT(IN) :: on + INTEGER, INTENT(IN), OPTIONAL :: level + debug_on = on + IF (PRESENT(level)) debug_lvl = level + END SUBROUTINE debug_set + + LOGICAL FUNCTION dbg_enabled(level) + INTEGER, INTENT(IN) :: level + dbg_enabled = (debug_on .AND. level <= debug_lvl) + END FUNCTION dbg_enabled + + SUBROUTINE dbg_print(level, msg) + INTEGER, INTENT(IN) :: level + CHARACTER(*),INTENT(IN) :: msg + CHARACTER(len=8) :: date + CHARACTER(len=10) :: time + CHARACTER(len=5) :: zone + INTEGER :: tvalues(8) + CALL DATE_AND_TIME(date, time, zone, tvalues) + IF (dbg_enabled(level)) THEN + WRITE (log_unit,'(A)') '[DBG-'//date//'T'//time//':'//trim(level_tag(level))//'] '//TRIM(msg) + CALL flush_log() + END IF + END SUBROUTINE dbg_print + + SUBROUTINE assert_ok(cond, msg) + LOGICAL, INTENT(IN) :: cond + CHARACTER(*), INTENT(IN), OPTIONAL :: msg + IF (.NOT. cond) THEN + IF (PRESENT(msg)) THEN + WRITE (log_unit,'(A)') 'ASSERTION FAILED: '//TRIM(msg) + ELSE + WRITE (log_unit,'(A)') 'ASSERTION FAILED.' + END IF + CALL flush_log() + STOP 1 + END IF + END SUBROUTINE assert_ok + + SUBROUTINE debug_set_logfile(filename) + CHARACTER(*), INTENT(IN) :: filename + INTEGER :: ios + IF (log_opened) CLOSE(log_unit) + OPEN(NEWUNIT=log_unit, FILE=TRIM(filename), STATUS='UNKNOWN', IOSTAT=ios) + IF (ios /= 0) THEN + ! Fall back to stdout on failure + log_unit = 6 + log_opened = .FALSE. + ELSE + log_opened = .TRUE. + END IF + END SUBROUTINE debug_set_logfile + + SUBROUTINE debug_init_from_args() + ! Enable via: + ! --debug (level defaults to 1) + ! --debug=2 (set level) + ! --log=filename.txt (send logs to file) + INTEGER :: n, i, eqpos, ival, ios + CHARACTER(STRLEN) :: arg, val + + n = IARGC() + DO i = 1, n + CALL GETARG(i, arg) + CALL trim_inplace(arg) + + IF (starts_with(arg, '--debug')) THEN + eqpos = INDEX(arg, '=') + IF (eqpos > 0) THEN + val = arg(eqpos+1:) + CALL trim_inplace(val) + READ(val, *, IOSTAT=ios) ival + IF (ios == 0) THEN + CALL debug_set(.TRUE., ival) + ELSE + CALL debug_set(.TRUE., 1) + END IF + ELSE + CALL debug_set(.TRUE., 1) + END IF + + ELSEIF (starts_with(arg, '--log=')) THEN + val = arg(7:) + CALL trim_inplace(val) + IF (LEN_TRIM(val) > 0) CALL debug_set_logfile(val) + END IF + END DO + END SUBROUTINE debug_init_from_args + + ! -------- helpers (F95-friendly) -------- + + SUBROUTINE trim_inplace(s) + CHARACTER(*), INTENT(INOUT) :: s + INTEGER :: lt + lt = LEN_TRIM(s) + IF (lt < LEN(s)) s(lt+1:) = ' ' + END SUBROUTINE trim_inplace + + LOGICAL FUNCTION starts_with(s, prefix) + CHARACTER(*), INTENT(IN) :: s, prefix + INTEGER :: lp + + lp = LEN_TRIM(prefix) + IF (LEN_TRIM(s) < lp) THEN + starts_with = .FALSE. + ELSE + starts_with = (s(1:lp) == prefix(1:lp)) + END IF + END FUNCTION starts_with + + CHARACTER(6) FUNCTION level_tag(level) + INTEGER, INTENT(IN) :: level + WRITE(level_tag,'(I0)') level + END FUNCTION level_tag + + SUBROUTINE flush_log() + ! FLUSH is F2003, but many F95 compilers supported it; if not available, + ! comment the next line out or keep it inside a vendor conditional. + FLUSH(log_unit) + END SUBROUTINE flush_log + +end module debug \ No newline at end of file diff --git a/fortran/F95/effut.f95 b/F95/effut.f95 similarity index 99% rename from fortran/F95/effut.f95 rename to F95/effut.f95 index aec47b4..143a0c2 100644 --- a/fortran/F95/effut.f95 +++ b/F95/effut.f95 @@ -61,7 +61,7 @@ real (kind=8) function eta_raw (eff_p, nr, mdum, rdum, maglim) ir = ir + 1 if ((r-eff_p(ir)%min)*(r-eff_p(ir)%max) .le. 0.d0) goto 600 if (ir .lt. nr) goto 500 -510 continue + eta_raw = 0.d0 maglim = 0.d0 return diff --git a/fortran/F95/elemutils.f95 b/F95/elemutils.f95 similarity index 99% rename from fortran/F95/elemutils.f95 rename to F95/elemutils.f95 index c58241b..6f30867 100644 --- a/fortran/F95/elemutils.f95 +++ b/F95/elemutils.f95 @@ -117,7 +117,6 @@ subroutine coord_cart (mu, o_m, p, v) write (6, *) o_m%node, o_m%peri, o_m%m stop end if -1100 continue ! Coordinates relative to the orbit. ! The cartisian coordinate are given by $\vec X = R_{xq} \vec q$ @@ -257,7 +256,6 @@ subroutine pos_cart (o_m, p) write (6, *) o_m%node, o_m%peri, o_m%m stop end if -1100 continue ! Coordinates relative to the orbit. ! The cartisian coordinate are given by $\vec X = R_{xq} \vec q$ @@ -321,7 +319,6 @@ subroutine PQ_cart (inc, node, peri, P, Q, R) ! \end{verse} ! ! \subsubsection{Declarations} - integer :: i real (kind=8) :: delau(8), cos_i, sin_i ! Computation of sinus and cosines of angles. diff --git a/fortran/F95/getsur.f95 b/F95/getsur.f95 similarity index 96% rename from fortran/F95/getsur.f95 rename to F95/getsur.f95 index b35a3c6..078f519 100644 --- a/fortran/F95/getsur.f95 +++ b/F95/getsur.f95 @@ -5,6 +5,7 @@ module getsur use poly_lib use effut use ioutils + use debug contains @@ -214,7 +215,6 @@ subroutine create_poly(ra, dec, poly) type(t_polygon), intent(out) :: poly real (kind=8), intent(in) :: ra, dec - real (kind=8) :: dra integer :: j do j = 1, poly%n @@ -242,7 +242,7 @@ subroutine hms(str,val) ! !...Initialization ! -100 val = 0.0D00 + val = 0.0D00 piece = 0.0d0 j = 1 dpfind = 0 @@ -314,16 +314,7 @@ subroutine read_eff (filen, lun_in, c, ierr) ! -2 : double hyperbolic tangent ! -1 : single hyperbolic tangent ! >0 : number of bins in lookup table -! c%f : filter index (I4) -! 1 : g -! 2 : r -! 3 : i -! 4 : z -! 5 : u -! 6 : B -! 7 : V -! 8 : R -! 9 : I +! c%f : single character filter name ! c%r_cut : global rate cuts of search (t_ratecut) ! c%mag_er : parameters for magnitude uncertainty and skew (6*R8) ! c%photf : fractions of cases with 1, 2 and 3 photometric measures (3*R8) @@ -398,27 +389,8 @@ subroutine read_eff (filen, lun_in, c, ierr) in_func = .false. else if (word(1)(1:lw(1)) .eq. 'filter') then call parse (line(eq_ind+1:), nw_max-1, nw, word(2:), lw(2:)) - if (word(2)(1:1) .eq. 'g') then - c%f = 1 - else if (word(2)(1:1) .eq. 'r') then - c%f = 2 - else if (word(2)(1:1) .eq. 'i') then - c%f = 3 - else if (word(2)(1:1) .eq. 'z') then - c%f = 4 - else if (word(2)(1:1) .eq. 'u') then - c%f = 5 - else if (word(2)(1:1) .eq. 'B') then - c%f = 6 - else if (word(2)(1:1) .eq. 'V') then - c%f = 7 - else if (word(2)(1:1) .eq. 'R') then - c%f = 8 - else if (word(2)(1:1) .eq. 'I') then - c%f = 9 - else - goto 1500 - end if +! store the ascii representation of the single character filter name + c%f = word(2)(1:1) fi = .true. in_rates = .false. in_func = .false. @@ -596,7 +568,7 @@ subroutine get_code(code_in, dirn, code_out) character(*), intent(IN) :: code_in, dirn integer, intent(OUT) :: code_out - character(len=30) :: fmt, fname + character(len=300) :: fmt, fname integer :: ierr, j integer :: vector_file_lun @@ -660,7 +632,7 @@ subroutine read_sur (dirn, lun_in, point, ierr) integer, intent(out) :: ierr character(*), intent(in) :: dirn type(t_v3d) :: vel - real (kind=8) :: w, h, ra, dec, r + real (kind=8) :: w, h, ra, dec integer :: j, nw, lw(nw_max), lun_e, ierr_e, i1, i2, i3, i4 character(100) :: line, fname character(80) :: word(nw_max) @@ -789,7 +761,7 @@ subroutine read_sur (dirn, lun_in, point, ierr) j = j - 1 goto 1700 end if - point%c%eff_p(i1)%n = amin0(j+1, point%c%eff_p(i1)%n) + point%c%eff_p(i1)%n = ceiling(amin0(j+1, point%c%eff_p(i1)%n)) end if end do @@ -871,13 +843,17 @@ subroutine GetSurvey (survey, lun_s, n_sur, points, sur_mm, ierr) character(*), intent(in) :: survey type(t_pointing) :: point real (kind=8) :: rate, tmp, mag, eff - integer :: nr, n, j, i, i1, i2 + integer :: nr, n, j, i1, i2 logical :: finished ! Open and read in survey definitions call read_file_name (survey, i1, i2, finished, len(survey)) n_sur = 0 200 continue + if (n_sur .ge. n_sur_max) then + ierr = 100 + return + end if call read_sur (survey(i1:i2), lun_s, point, ierr) if (ierr .ne. 0) then @@ -957,7 +933,7 @@ subroutine GetSurvey (survey, lun_s, n_sur, points, sur_mm, ierr) ! write (18, *) mag, eff ! END comment out in production mode if ((eff .eq. 0.d0) .and. (mag .ge. -0.05d0)) goto 250 -260 continue + sur_mm(n_sur) = max(sur_mm(n_sur), mag+0.1d0) end if ! START comment out in production mode diff --git a/fortran/F95/ioutils.f95 b/F95/ioutils.f95 similarity index 88% rename from fortran/F95/ioutils.f95 rename to F95/ioutils.f95 index c53d142..69ca893 100644 --- a/fortran/F95/ioutils.f95 +++ b/F95/ioutils.f95 @@ -1,6 +1,8 @@ module ioutils + use parameters use datadec + use debug contains @@ -36,6 +38,7 @@ subroutine trim (base_name, i1, i2, finished, len) finished = .false. i1 = 1 + i2 = 1 100 continue if ((base_name(i1:i1) .eq. char(0)) & .or. (base_name(i1:i1) .eq. char(9)) & @@ -47,7 +50,6 @@ subroutine trim (base_name, i1, i2, finished, len) end if goto 100 end if -101 continue i2 = len 110 continue @@ -106,7 +108,6 @@ subroutine read_file_name (base_name, i1, i2, finished, len) end if goto 100 end if -101 continue i2 = i1 + 1 110 continue @@ -226,7 +227,7 @@ subroutine parse (comd, nwmax, nw, word, lw) return end subroutine parse - subroutine Format (angle, incode, outcod, string, ierr) + subroutine Format(angle, incode, outcod, string, ierr) !-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- ! This routine formats an angle (in rd) into deg, min, sec or hour, min, ! sec. Output is a string. @@ -335,7 +336,8 @@ subroutine read_jpl_csv(iunit, jd, pos, vel, ierr) character(len = 512) :: line character(len = 30) :: date real(kind=8) ejd - integer :: iend, header_offset, ferr, offset + integer(kind=8) :: header_offset, offset + integer :: iend, ferr logical :: read_header @@ -382,5 +384,38 @@ subroutine read_jpl_csv(iunit, jd, pos, vel, ierr) 999 return end subroutine read_jpl_csv + +! Givn a single letter filter return the index in the color array + integer function filter_to_index(filter_name) + implicit none + character :: filter_name + filter_to_index = IACHAR(filter_name) - IACHAR('A') + 1 + end function filter_to_index + +! Given an index return the letter for this filter + character function index_to_filter(idx) + implicit none + integer :: idx + index_to_filter = CHAR(idx+ICHAR('A') - 1) + end function index_to_filter + +! provides a list of color values for the fixed format files +! where filters are in the order given in datadec.filters + function color_array(colors) + implicit none + real(kind=4) :: colors(58) + integer :: idx, ic + real(kind=4), dimension(10) :: color_array +! For each character in string 'filters' look up the index +! in colors and map it to a the color_array in order of strings in filters +! for use in older format files. + do idx = 1, len(filters) + ic = filter_to_index(filters(idx:idx)) + color_array(idx) = colors(ic) + end do + + end function color_array + + end module ioutils diff --git a/fortran/F95/kind_map b/F95/kind_map old mode 100755 new mode 100644 similarity index 100% rename from fortran/F95/kind_map rename to F95/kind_map diff --git a/fortran/F95/modelutils.f95 b/F95/modelutils.f95 similarity index 100% rename from fortran/F95/modelutils.f95 rename to F95/modelutils.f95 diff --git a/fortran/F95/numutils.f95 b/F95/numutils.f95 similarity index 99% rename from fortran/F95/numutils.f95 rename to F95/numutils.f95 index 629692b..7d0b8ad 100644 --- a/fortran/F95/numutils.f95 +++ b/F95/numutils.f95 @@ -197,7 +197,7 @@ subroutine magran (mag_t, mag_er, seed, mag, magerr) real (kind=8), intent(in) :: mag_t, mag_er(:) real (kind=8), intent(out) :: magerr, mag real (kind=8) :: tmp, mag_th - integer :: i + mag_th = mag_t ! tmp = log10(mag_er(2)/mag_er(1))/(mag_er(3)-21.d0) @@ -316,15 +316,16 @@ end subroutine RADECeclXV real (kind=8) FUNCTION ran3(idum) !f2py intent(in,out) idum + use common_data + implicit none integer, intent(inout) :: idum integer, parameter :: MBIG=1000000000, MSEED=161803398, MZ=0 real (kind=8), parameter :: FAC=1.d0/MBIG - integer, save :: iff, inext, inextp, ma(55) + integer, save :: inext, inextp, ma(55) integer :: i, ii, mj, mk, k - data iff /0/ if(idum.lt.0.or.iff.eq.0)then iff=1 diff --git a/F95/parameters.f95 b/F95/parameters.f95 new file mode 100644 index 0000000..43740bf --- /dev/null +++ b/F95/parameters.f95 @@ -0,0 +1,17 @@ +module parameters + + ! define length of array parameters + integer, parameter :: n_sur_max = 2000, n_bin_max=30, n_r_max=10, & + nw_max = 10 + + ! define some useful constants + real (kind=8), parameter :: Pi = 3.141592653589793238d0, drad = Pi/180.0D0, & + TwoHours = 2.d0/24.d0, TwoPi = 2.0d0*Pi, eps = 1.d-14 + real (kind=8), parameter :: gmb = 1.d0+1.d0/6023600.0d0+1.d0/408523.71d0 & + +1.d0/328900.56d0+1.d0/3098708.0d0+1.d0/1047.3486d0+1.d0/3497.898d0 & + +1.d0/22902.98d0+1.d0/19412.24d0+1.d0/1.35d8 + ! define the order of filters in classic fortran model in/out files + character(len=10), parameter :: filters = "grizuVBRIw" + integer, parameter :: number_of_predefined_filters = 10 + +end module parameters diff --git a/fortran/F95/poly_dec.f95 b/F95/poly_dec.f95 similarity index 100% rename from fortran/F95/poly_dec.f95 rename to F95/poly_dec.f95 diff --git a/fortran/F95/poly_lib.f95 b/F95/poly_lib.f95 similarity index 97% rename from fortran/F95/poly_lib.f95 rename to F95/poly_lib.f95 index 97e00d6..0ec0096 100644 --- a/fortran/F95/poly_lib.f95 +++ b/F95/poly_lib.f95 @@ -161,7 +161,7 @@ integer function calc_walk_summand(p1, p2) return end if x_y0 = x_y0*(p2(y) - p1(y)) - if (x_y0 .ne. 0.d0) summand = summand + sign(1.d0, x_y0) + if (x_y0 .ne. 0.d0) summand = summand + ceiling(sign(1.d0, x_y0)) end if ! Check if crossing y axis @@ -172,7 +172,7 @@ integer function calc_walk_summand(p1, p2) return end if y_x0 = y_x0*(p1(x) - p2(x)) - if (y_x0 .ne. 0.d0) summand = summand + sign(1.d0, y_x0) + if (y_x0 .ne. 0.d0) summand = summand + ceiling(sign(1.d0, y_x0)) end if calc_walk_summand = summand return diff --git a/fortran/F95/rot.f95 b/F95/rot.f95 similarity index 98% rename from fortran/F95/rot.f95 rename to F95/rot.f95 index 358bc9b..9835c7c 100644 --- a/fortran/F95/rot.f95 +++ b/F95/rot.f95 @@ -32,13 +32,12 @@ subroutine equ_ecl(epsilon, poseq, posecl) ! Chapront et al. 2002 gamma to O_icrs in arcsec real (kind=8), parameter :: Pi = 3.141592653589793238d0, phi = 0.05542d0, & degrad = Pi/180.d0 - real (kind=8) :: phir + real (kind=8) :: phir, posout(3) phir = phi/3600d0*degrad - call RotZ(-phir, poseq, posecl) - - call RotX(epsilon, posecl, posecl) + call RotZ(-phir, poseq, posout) + call RotX(epsilon, posout, posecl) return end subroutine equ_ecl @@ -71,13 +70,13 @@ subroutine ecl_equ(epsilon, posecl, poseq) ! Chapront et al. 2002 gamma to O_icrs in arcsec real (kind=8), parameter :: Pi = 3.141592653589793238d0, phi = 0.05542d0, & degrad = Pi/180.d0 - real (kind=8) :: phir + real (kind=8) :: phir, posout(3) phir = phi/3600d0*degrad - call RotX(-epsilon, posecl, poseq) + call RotX(-epsilon, posecl, posout) - call RotZ(phir, poseq, poseq) + call RotZ(phir, posout, poseq) return end subroutine ecl_equ @@ -371,7 +370,7 @@ subroutine invar_ecl_osc(ieqec, o_mi, o_mo, ierr) drad = Pi/180.d0, mu = TwoPi**2 type(t_orb_m) :: o_md type(t_v3d) :: posi, poso, veli, velo - real (kind=8) :: aid, eid, iid, noid, peid, mid +! real (kind=8) :: aid, eid, iid, noid, peid, mid o_md%a = o_mi%a o_md%e = o_mi%e @@ -760,9 +759,10 @@ subroutine forced_plane_damp(a, inc, ifd, Omfd) ! Internal variables real (kind=8) :: ci0(4), ci1(3), ci2(3), ci3(3), co0(3), co1(3), co2(5), & - co3(5), alpha, beta, gamma, delta, om_lim_low, om_lim_high, damp, y + co3(5), alpha, beta, gamma, delta, damp, y real (kind=8), parameter :: epsilon = 5713.86d0/3600.d0, & omega = 387390.8d0/3600.d0, ce_damp = 16.d0, wi_damp = 6.d0 + real (kind=8) om_lim_low, om_lim_high data & ci0 /-0.115657583d0,34.8097343d0,7.79198557d-02,-1.06252408d0/, & diff --git a/fortran/F95/surveysub.f95 b/F95/surveysub.f95 similarity index 71% rename from fortran/F95/surveysub.f95 rename to F95/surveysub.f95 index 6311b48..f73c29a 100644 --- a/fortran/F95/surveysub.f95 +++ b/F95/surveysub.f95 @@ -1,5 +1,8 @@ module surveysub + use debug + use common_data + use parameters use datadec use poly_lib use effut @@ -9,7 +12,9 @@ module surveysub contains + subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & + debug_on, & flag, ra, dec, d_ra, d_dec, r, delta, m_int, m_rand, eff, isur, mt, & jdayp, ic, surna, h_rand, ierr) !-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- @@ -36,16 +41,8 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & ! o_m : orbital elements of object (t_orb_m) ! jday : Time of elements [JD] (R8) ! hx : Absolute magnitude of object in 'x' band, what ever this is (R8) -! color : Array of colors (10*R8) -! colors(1) : g-x -! colors(2) : r-x -! colors(3) : i-x -! colors(4) : z-x -! colors(5) : u-x -! colors(6) : V-x -! colors(7) : B-x -! colors(8) : R-x -! colors(9) : I-x +! color : Array of colors (58*R8) +! IACHAR(FILTER)+1 : FILTER - X ! gb : opposition surge factor G, Bowell formalism (R8) ! ph : phase of lightcurve at epoch jday [rad] (R8) ! period: period of lightcurve [day] (R8) @@ -89,7 +86,8 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & !f2py intent(in) period !f2py intent(in) amp !f2py intent(in) surnam -!f2py intent(in,out) seed +!f2py intent(in) seed +!f2py intent(in) debug_on !f2py intent(out) flag !f2py intent(out) ra !f2py intent(out) dec @@ -108,18 +106,21 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & !f2py intent(out) h_rand !f2py intent(out) ierr - implicit none + implicit none type(t_orb_m), intent(in) :: o_m integer, intent(inout) :: seed - integer, intent(out) :: flag, isur, ic, ierr - real (kind=8), intent(in) :: jday, hx, color(:), gb, ph, period, amp + integer, intent(out) :: flag + integer, intent(out) :: isur, ic, ierr + logical, intent(in) :: debug_on + + real (kind=8), intent(in) :: jday, hx, color(58), gb, ph, period, amp real (kind=8), intent(out) :: ra, dec, d_ra, d_dec, r, delta, m_int, & m_rand, eff, mt, jdayp, h_rand character(*), intent(in) :: surnam character(10), intent(out) :: surna - integer, parameter :: screen = 6, keybd = 5, verbose = 9, & + integer, parameter :: screen = 6, keybd = 5, & lun_s = 13, lun_h = 6 type(t_orb_m), save :: o_ml type(t_obspos), save :: obspos(2) @@ -128,25 +129,25 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & type(t_polygon), save :: poly type(t_pointing), save :: points(n_sur_max) real (kind=8), save :: h, alpha, r2, ra2, dec2, sur_mmag(n_sur_max), & - mag_err(6), photf(3), maglim, width, height, ra_p, dec_p, ff, & + mag_err(6), photf(3), maglim, ff, & mag_max, mag_faint, random, track, jday_o, tmp, & - eff_lim, r_min, r_max, ang, ang_w, track_max, track_mag, & + eff_lim, track_max, track_mag, & track_slope, angle, rate, delta2, mag_peri, dmag, & p(2), ra_l, dec_l, d_ra_l, d_dec_l, r_l, delta_l, & - m_int_l, m_rand_l, eff_l, mt_l + m_int_l, m_rand_l, eff_l integer, save :: i, filt_i, flag_l, n_sur, & - incode, outcod, i_sur, nph + incode, outcod, i_sur character(13), save :: stra, stdec integer :: in_poly - logical, save :: debug, newpos, rate_ok, first - + logical, save :: newpos, rate_ok data & - first /.true./, & - debug /.false./, & eff_lim /0.4d0/ + CHARACTER(len=256) :: log_msg + flag = 0 flag_l = 0 + call debug_set(debug_on) if (first) then first = .false. @@ -158,30 +159,32 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & write (screen, *) & 'GetSurvey: reached maximum number of pointings, ', n_sur else if (ierr .eq. 10) then - write (screen, *) 'Unable to open survey file in ',surnam + write (screen, *) 'Unable to open survey file in ', surnam else if (ierr .eq. 30) then goto 100 else - write (screen, *) 'Unknown return code in read_sur.' + write (screen, *) 'Unknown return code in read_sur.', ierr end if return end if 100 continue ! Determine overall faintest 'x' magnitude for all surveys mag_faint = 0.d0 + write (log_msg, *) 'Number of surveys: ',n_sur + call dbg_print(2, log_msg) + write (log_msg, *) 'Survey','Survey Limit','Faintest Limit' + call dbg_print(4, log_msg) + do i_sur = 1, n_sur ! sur_mmag(i_sur) in survey's filter ! mag_max in 'x' filter - mag_max = sur_mmag(i_sur) - color(points(i_sur)%c%f) + mag_max = sur_mmag(i_sur) - color(filter_to_index(points(i_sur)%c%f)) if (mag_max .gt. mag_faint) mag_faint = mag_max - if (debug) then - write (verbose, *) i_sur, mag_max, mag_faint - end if + write(log_msg, *) i_sur, mag_max, mag_faint + call dbg_print(4, log_msg) end do - if (debug) then - write (verbose, *) 'Faintest magnitude = ', mag_faint - end if -! stop + write(log_msg, *) 'Faintest magnitude =',mag_faint + call dbg_print(2, log_msg) end if ! Compute approximate maximum apparent 'x' magnitude @@ -210,7 +213,7 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & track_max = points(i_sur)%c%track(1) track_mag = points(i_sur)%c%track(2) track_slope = points(i_sur)%c%track(3) - filt_i = points(i_sur)%c%f + filt_i = filter_to_index(points(i_sur)%c%f) mag_err = points(i_sur)%c%mag_er photf = points(i_sur)%c%photf poly = points(i_sur)%poly @@ -220,6 +223,8 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & ! Sun, than the faintest magnitude recorded for that survey, in 'x' ! band. ! mag_max in 'x' filter +! write (log_msg, *) "filter:", points(i_sur)%c%f, "index: ", filt_i, "color: ", color(filt_i) +! call dbg_print(2, log_msg) mag_max = sur_mmag(i_sur) - color(filt_i) ! Any chance this survey can see the object ? @@ -238,14 +243,24 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & jday_o = obspos(1)%jday newpos = .true. end if - if (debug) then - write (verbose, *) 'Survey: ', i_sur - write (verbose, *) pos%x, pos%y, pos%z, jday, jday_o - write (verbose, *) obspos(1)%pos%x, obspos(1)%pos%y, & + if (debug_lvl > 1) then + write (log_msg, *) 'Survey: ', i_sur + call dbg_print(2, log_msg) + write (log_msg, *) 'Target x/y/z location, epoch of elements, epoch of observation' + call dbg_print(2, log_msg) + write (log_msg, *) pos%x, pos%y, pos%z, jday, jday_o + call dbg_print(2, log_msg) + write (log_msg, *) 'Observer Location at observation' + call dbg_print(2, log_msg) + write (log_msg, *) obspos(1)%pos%x, obspos(1)%pos%y, & obspos(1)%pos%z, obspos(1)%jday - write (verbose, *) obspos(2)%pos%x, obspos(2)%pos%y, & + call dbg_print(2, log_msg) + write (log_msg, *) 'Observer Location at 2h later' + call dbg_print(2, log_msg) + write (log_msg, *) obspos(2)%pos%x, obspos(2)%pos%y, & obspos(2)%pos%z, obspos(2)%jday - end if + end if + call DistSunEcl (obspos(1)%jday, pos, r_l) call RADECeclXV (pos, obspos(1)%pos, delta_l, ra_l, dec_l) p(1) = ra_l @@ -266,7 +281,7 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & end if ! Format angles for output - if (debug) then + if (debug_lvl > 1) then incode = 1 outcod = 1 call Format (ra_l, incode, outcod, stra, ierr) @@ -284,9 +299,14 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & write (screen, *) 'ierr = ', ierr return end if - write (verbose, '(3(f8.3, 1x), a13, 1x, a13)') & + write (log_msg, *) 'Object M, peri, node, ra, dec: ' + call dbg_print(2, log_msg) + write (log_msg, '(3(f8.3, 1x), a13, 1x, a13)') & o_m%m/drad, o_m%peri/drad, o_m%node/drad, stra, stdec - write (verbose, *) ra_l/drad, dec_l/drad, m_int_l, mag_max + call dbg_print(2, log_msg) + write (log_msg, *) 'Object ra(deg), dec(deg), mag and mag_max' + write (log_msg, *) ra_l/drad, dec_l/drad, m_int_l, mag_max + call dbg_print(2, log_msg) end if ! Still any chance to see it (comparison in survey filter band) ? @@ -298,21 +318,27 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & ! ! Here we use polygons. in_poly = point_in_polygon(p, poly) - if (debug) then - write (verbose, *) 'Check for FOV.' - write (verbose, *) poly%n, in_poly + if (debug_lvl>1) then + write (log_msg, *) 'Check for FOV.' + call dbg_print(2, log_msg) + + write (log_msg, *) poly%n, in_poly + call dbg_print(2, log_msg) do i = 1, poly%n+1 - write (verbose, *) poly%x(i)/drad, poly%y(i)/drad + write (log_msg, *) poly%x(i)/drad, poly%y(i)/drad + call dbg_print(2, log_msg) end do end if if (in_poly .gt. 0) then ! Check for chip gaps, ..., the filling factor. random = ran3(seed) - if (debug) then - write (verbose, *) & + if (debug_lvl > 1 ) then + write (log_msg, *) & 'In FOV of survey. Check filling factor.' - write (verbose, *) random, ff + call dbg_print(2, log_msg) + write (log_msg, *) random, ff + call dbg_print(2, log_msg) end if if (random .le. ff) then @@ -323,11 +349,15 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & call pos_cart (o_ml, pos2) call DistSunEcl (obspos(2)%jday, pos2, r2) call RADECeclXV (pos2, obspos(2)%pos, delta2, ra2, dec2) - if (debug) then - write (verbose, *) 'Check for second position.' - write (verbose, *) o_ml%m - write (verbose, *) pos2%x, pos2%y, pos2%z - write (verbose, *) delta2, ra2/drad, dec2/drad + if (debug_lvl > 1) then + write (log_msg, *) 'Check for second position.' + call dbg_print(2, log_msg) + write (log_msg, *) o_ml%m + call dbg_print(2, log_msg) + write (log_msg, *) pos2%x, pos2%y, pos2%z + call dbg_print(2, log_msg) + write (log_msg, *) delta2, ra2/drad, dec2/drad + call dbg_print(2, log_msg) end if d_ra_l = ra_l - ra2 if (d_ra_l .gt. Pi) d_ra_l = d_ra_l - TwoPi @@ -342,14 +372,24 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & rate_ok = (rate .ge. rc%min) .and. (rate .le. rc%max) rate_ok = rate_ok .and. & (dabs(rc%angle - angle) .le. rc%hwidth) - if (debug) then - write (verbose, *) 'Check for rate.' - write (verbose, *) rate/drad*3600.d0/24.d0, & + if (debug_lvl > 1) then + write (log_msg, *) 'Check for rate.' + call dbg_print(2, log_msg) + write (log_msg, *) 'object rate, survey rate, min, max' + call dbg_print(2, log_msg) + write (log_msg, *) rate/drad*3600.d0/24.d0, & rc%min/drad*3600.d0/24.d0, & rc%max/drad*3600.d0/24.d0 - write (verbose, *) angle/drad, rc%angle/drad, & + call dbg_print(2, log_msg) + write (log_msg, *) 'object angle, survey angle, centre, width' + call dbg_print(2, log_msg) + write (log_msg, *) angle/drad, rc%angle/drad, & rc%hwidth/drad - write (verbose, *) pos2%x, pos2%y, pos2%z + call dbg_print(2, log_msg) + write (log_msg, *) 'object x/y/z position' + call dbg_print(2, log_msg) + write (log_msg, *) pos2%x, pos2%y, pos2%z + call dbg_print(2, log_msg) end if if (rate_ok) then @@ -357,10 +397,10 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & eff_l = eta(points(i_sur)%c%eff_p, & points(i_sur)%c%nr, m_int_l, rate, maglim) random = ran3(seed) - if (debug) then - write (verbose, *) 'Rate OK. Check detection.' - write (verbose, *) random, eff_l, maglim - end if + call dbg_print(2, 'Rate OK. Check detection.') + write (log_msg, *) random, ' < ', eff_l, & + ' (detection eff at obj mag: ', maglim, ' )' + call dbg_print(2, log_msg) if (random .le. eff_l) then ! Compute "measured" magnitude with 1 to 3 averaged values random = ran3(seed) @@ -379,27 +419,26 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & points(i_sur)%c%nr, m_rand_l, rate, maglim) ! Hurray ! We found it. flag_l = 1 - if (debug) then - write (verbose, *) 'Hurray ! We found it.' - end if + write (log_msg, *) 'Hurray ! We found it.' + call dbg_print(2, log_msg) ! Determine if tracked random = ran3(seed) track = min(track_max, & 1.d0 + (m_rand_l - track_mag)*track_slope) - if (debug) then - write (verbose, *) & - 'Checking for track. ', random, track + if (debug_lvl > 1) then + write (log_msg, *) & + 'Checking for track if object was tracked: ', random, track + call dbg_print(2, log_msg) end if if (random .le. track) then flag_l = 2 end if ! Decide if characterized or not - if (debug) then - write (verbose, *) & - 'Checking for characterization. ', & - m_rand_l, maglim, eff_l, eff_lim - end if + write (log_msg, *) & + 'Checking for characterization limits: ', & + m_rand_l, maglim, eff_l, eff_lim + call dbg_print(2, log_msg) if (maglim .gt. 0.d0) then if (m_rand_l .le. maglim) flag_l = flag_l + 2 else @@ -427,11 +466,10 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & write (screen, *) 'Survey number: ', i_sur return end if - if (debug) then - write (verbose, *) 'All is good, h_rand.' - write (verbose, *) r, delta - write (verbose, *) m_rand, alpha, h_rand - end if + call dbg_print(2, 'Computed magnitudes for observing circumstance.') + write (log_msg, *) 'r', r, 'delta', delta, & + 'm_rand', m_rand, 'alpha', alpha, 'h_rand', h_rand + call dbg_print(2, log_msg) flag = flag_l ra = ra_l dec = dec_l @@ -443,37 +481,26 @@ subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & end if ! We got it, and we know if it was tracked and/or characterized. ! Return if tracked and characterized, otherwise keep looping. - if (flag .ge. 4) return - else -! write (6, *) 'Low efficiency: ', a, eff_l, & -! random, m_int_l, rate + if (flag .ge. 4) then + return + end if end if - else -! write (6, *) 'Rate out of range: ', a, r_min, & -! r_max, rate, ang_w, dabs(ang - angle) end if - else -! write (6, *) 'Falling in chip gaps: ', a, ff, random end if end if - else -! write (6, *) 'Too faint for this survey: ', a, i_sur, & -! sur_mmag(i_sur), m_int_l, hx, filt_i, color(filt_i) end if - else -! write (6, *) 'Too faint (peri) for this survey: ', a, & -! i_sur, mag_max, mag_peri, hx, filt_i, color(filt_i) end if ! End loop on surveys end do - else -! write (6, *) 'Too faint (peri) for all surveys: ', a, & -! mag_faint, mag_peri, hx, filt_i, color(filt_i) - end if - - return + end if + return end subroutine Detos1 + subroutine reset_simulator() + first = .true. + iff = 0 + end subroutine reset_simulator + end module surveysub diff --git a/fortran/F95/test_read_pointings.f95 b/F95/test_read_pointings.f95 similarity index 100% rename from fortran/F95/test_read_pointings.f95 rename to F95/test_read_pointings.f95 diff --git a/fortran/tests/HST-check-F95.dat b/F95/tests/HST-check-F95.dat similarity index 100% rename from fortran/tests/HST-check-F95.dat rename to F95/tests/HST-check-F95.dat diff --git a/fortran/tests/HST.in b/F95/tests/HST.in similarity index 100% rename from fortran/tests/HST.in rename to F95/tests/HST.in diff --git a/fortran/tests/InnerHotModel-check-F77.dat b/F95/tests/InnerHotModel-check-F77.dat similarity index 100% rename from fortran/tests/InnerHotModel-check-F77.dat rename to F95/tests/InnerHotModel-check-F77.dat diff --git a/fortran/tests/InnerHotModel-check-F95.dat b/F95/tests/InnerHotModel-check-F95.dat similarity index 100% rename from fortran/tests/InnerHotModel-check-F95.dat rename to F95/tests/InnerHotModel-check-F95.dat diff --git a/fortran/tests/InnerHotModel.in b/F95/tests/InnerHotModel.in similarity index 100% rename from fortran/tests/InnerHotModel.in rename to F95/tests/InnerHotModel.in diff --git a/F95/tests/Makefile b/F95/tests/Makefile new file mode 100644 index 0000000..7696ba4 --- /dev/null +++ b/F95/tests/Makefile @@ -0,0 +1,26 @@ +MODELS = InnerHotModel ReadModelFromFile +# MODELS = ReadModelFromFile +LANGUAGE = F95 + +%: %.sh + +test: clean $(MODELS) HST + +$(MODELS): clean + $(MAKE) -s -C ../ Driver GIMEOBJ=$@ + @./test.sh ../$@ $(LANGUAGE) + $(MAKE) -s -C ../ clean + +HST: clean + $(MAKE) -s -C ../ Driver GIMEOBJ=ReadModelFromFile + @./test.sh ../$@ $(LANGUAGE) + $(MAKE) -s -C ../ clean + +.PHONY: $(MODELS) + +.DEFAULT: + +.PHONY: clean + +clean: + \rm -f ModelUsed.dat SimulDetect.dat SimulTrack.dat LOG test diff --git a/fortran/tests/Models/HST_model.txt b/F95/tests/Models/HST_model.txt similarity index 100% rename from fortran/tests/Models/HST_model.txt rename to F95/tests/Models/HST_model.txt diff --git a/fortran/tests/Models/InnerHot.in b/F95/tests/Models/InnerHot.in similarity index 100% rename from fortran/tests/Models/InnerHot.in rename to F95/tests/Models/InnerHot.in diff --git a/fortran/tests/Models/L7model-3.0-9.0 b/F95/tests/Models/L7model-3.0-9.0 similarity index 100% rename from fortran/tests/Models/L7model-3.0-9.0 rename to F95/tests/Models/L7model-3.0-9.0 diff --git a/fortran/tests/README.md b/F95/tests/README.md similarity index 100% rename from fortran/tests/README.md rename to F95/tests/README.md diff --git a/fortran/tests/ReadModelFromFile-check-F77.dat b/F95/tests/ReadModelFromFile-check-F77.dat similarity index 100% rename from fortran/tests/ReadModelFromFile-check-F77.dat rename to F95/tests/ReadModelFromFile-check-F77.dat diff --git a/fortran/tests/ReadModelFromFile-check-F95.dat b/F95/tests/ReadModelFromFile-check-F95.dat similarity index 100% rename from fortran/tests/ReadModelFromFile-check-F95.dat rename to F95/tests/ReadModelFromFile-check-F95.dat diff --git a/fortran/tests/ReadModelFromFile.in b/F95/tests/ReadModelFromFile.in similarity index 100% rename from fortran/tests/ReadModelFromFile.in rename to F95/tests/ReadModelFromFile.in diff --git a/fortran/tests/Surveys/CFEPS/CFEPS.CDS b/F95/tests/Surveys/CFEPS/CFEPS.CDS similarity index 100% rename from fortran/tests/Surveys/CFEPS/CFEPS.CDS rename to F95/tests/Surveys/CFEPS/CFEPS.CDS diff --git a/fortran/tests/Surveys/CFEPS/CFEPS.detections b/F95/tests/Surveys/CFEPS/CFEPS.detections similarity index 100% rename from fortran/tests/Surveys/CFEPS/CFEPS.detections rename to F95/tests/Surveys/CFEPS/CFEPS.detections diff --git a/fortran/tests/Surveys/CFEPS/CharacterizationRepositories b/F95/tests/Surveys/CFEPS/CharacterizationRepositories similarity index 100% rename from fortran/tests/Surveys/CFEPS/CharacterizationRepositories rename to F95/tests/Surveys/CFEPS/CharacterizationRepositories diff --git a/fortran/tests/Surveys/CFEPS/L3f-smooth.eff b/F95/tests/Surveys/CFEPS/L3f-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L3f-smooth.eff rename to F95/tests/Surveys/CFEPS/L3f-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L3h-smooth.eff b/F95/tests/Surveys/CFEPS/L3h-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L3h-smooth.eff rename to F95/tests/Surveys/CFEPS/L3h-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L3q-smooth.eff b/F95/tests/Surveys/CFEPS/L3q-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L3q-smooth.eff rename to F95/tests/Surveys/CFEPS/L3q-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L3s-smooth.eff b/F95/tests/Surveys/CFEPS/L3s-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L3s-smooth.eff rename to F95/tests/Surveys/CFEPS/L3s-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L3w-smooth.eff b/F95/tests/Surveys/CFEPS/L3w-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L3w-smooth.eff rename to F95/tests/Surveys/CFEPS/L3w-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L3y-smooth.eff b/F95/tests/Surveys/CFEPS/L3y-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L3y-smooth.eff rename to F95/tests/Surveys/CFEPS/L3y-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L4h-smooth.eff b/F95/tests/Surveys/CFEPS/L4h-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L4h-smooth.eff rename to F95/tests/Surveys/CFEPS/L4h-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L4j-smooth.eff b/F95/tests/Surveys/CFEPS/L4j-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L4j-smooth.eff rename to F95/tests/Surveys/CFEPS/L4j-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L4k-smooth.eff b/F95/tests/Surveys/CFEPS/L4k-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L4k-smooth.eff rename to F95/tests/Surveys/CFEPS/L4k-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L4m-smooth.eff b/F95/tests/Surveys/CFEPS/L4m-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L4m-smooth.eff rename to F95/tests/Surveys/CFEPS/L4m-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L4n-smooth.eff b/F95/tests/Surveys/CFEPS/L4n-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L4n-smooth.eff rename to F95/tests/Surveys/CFEPS/L4n-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L4o-smooth.eff b/F95/tests/Surveys/CFEPS/L4o-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L4o-smooth.eff rename to F95/tests/Surveys/CFEPS/L4o-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L4p-smooth.eff b/F95/tests/Surveys/CFEPS/L4p-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L4p-smooth.eff rename to F95/tests/Surveys/CFEPS/L4p-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L4q-smooth.eff b/F95/tests/Surveys/CFEPS/L4q-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L4q-smooth.eff rename to F95/tests/Surveys/CFEPS/L4q-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L4v-smooth.eff b/F95/tests/Surveys/CFEPS/L4v-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L4v-smooth.eff rename to F95/tests/Surveys/CFEPS/L4v-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L5c-smooth.eff b/F95/tests/Surveys/CFEPS/L5c-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L5c-smooth.eff rename to F95/tests/Surveys/CFEPS/L5c-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L5i-smooth.eff b/F95/tests/Surveys/CFEPS/L5i-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L5i-smooth.eff rename to F95/tests/Surveys/CFEPS/L5i-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L5j-smooth.eff b/F95/tests/Surveys/CFEPS/L5j-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L5j-smooth.eff rename to F95/tests/Surveys/CFEPS/L5j-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L5r-smooth.eff b/F95/tests/Surveys/CFEPS/L5r-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L5r-smooth.eff rename to F95/tests/Surveys/CFEPS/L5r-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L5s-smooth.eff b/F95/tests/Surveys/CFEPS/L5s-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L5s-smooth.eff rename to F95/tests/Surveys/CFEPS/L5s-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/L7a-smooth.eff b/F95/tests/Surveys/CFEPS/L7a-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/L7a-smooth.eff rename to F95/tests/Surveys/CFEPS/L7a-smooth.eff diff --git a/fortran/tests/Surveys/CFEPS/README.cfeps b/F95/tests/Surveys/CFEPS/README.cfeps similarity index 100% rename from fortran/tests/Surveys/CFEPS/README.cfeps rename to F95/tests/Surveys/CFEPS/README.cfeps diff --git a/fortran/tests/Surveys/CFEPS/README.formats b/F95/tests/Surveys/CFEPS/README.formats similarity index 100% rename from fortran/tests/Surveys/CFEPS/README.formats rename to F95/tests/Surveys/CFEPS/README.formats diff --git a/fortran/tests/Surveys/CFEPS/Template.eff b/F95/tests/Surveys/CFEPS/Template.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/Template.eff rename to F95/tests/Surveys/CFEPS/Template.eff diff --git a/fortran/tests/Surveys/CFEPS/pointings.list b/F95/tests/Surveys/CFEPS/pointings.list similarity index 100% rename from fortran/tests/Surveys/CFEPS/pointings.list rename to F95/tests/Surveys/CFEPS/pointings.list diff --git a/fortran/tests/Surveys/CFEPS/presurvey-smooth.eff b/F95/tests/Surveys/CFEPS/presurvey-smooth.eff similarity index 100% rename from fortran/tests/Surveys/CFEPS/presurvey-smooth.eff rename to F95/tests/Surveys/CFEPS/presurvey-smooth.eff diff --git a/fortran/tests/Surveys/HST/HST.csv b/F95/tests/Surveys/HST/HST.csv similarity index 100% rename from fortran/tests/Surveys/HST/HST.csv rename to F95/tests/Surveys/HST/HST.csv diff --git a/fortran/tests/Surveys/HST/HST.eff b/F95/tests/Surveys/HST/HST.eff similarity index 100% rename from fortran/tests/Surveys/HST/HST.eff rename to F95/tests/Surveys/HST/HST.eff diff --git a/F95/tests/Surveys/HST/jpl_batch.txt b/F95/tests/Surveys/HST/jpl_batch.txt new file mode 100644 index 0000000..158c06d --- /dev/null +++ b/F95/tests/Surveys/HST/jpl_batch.txt @@ -0,0 +1,18 @@ +!$$SOF +MAKE_EPHEM=YES +COMMAND=-48 +EPHEM_TYPE=VECTORS +CENTER='500@0' +START_TIME='2003-Jan-28 10:00:00.0000' +STOP_TIME='2003-Jan-28 14:00:00.0000' +STEP_SIZE='1 MINUTES' +VEC_TABLE='2' +REF_SYSTEM='ICRF' +REF_PLANE='FRAME' +VEC_CORR='NONE' +CAL_TYPE='G' +OUT_UNITS='AU-D' +VEC_LABELS='YES' +VEC_DELTA_T='NO' +CSV_FORMAT='YES' +OBJ_DATA='YES' diff --git a/fortran/tests/Surveys/HST/pointings.list b/F95/tests/Surveys/HST/pointings.list similarity index 82% rename from fortran/tests/Surveys/HST/pointings.list rename to F95/tests/Surveys/HST/pointings.list index 4ae4d91..2d986d4 100644 --- a/fortran/tests/Surveys/HST/pointings.list +++ b/F95/tests/Surveys/HST/pointings.list @@ -12,9 +12,10 @@ # : Declination of pointing, decimal degree or DD:MM:SS[.ss...] # : epoch of pointing, in Julian day (decimal) # : filling factor of that FOV -# : observatory code +# : a CSV file with GEOCENTRIC ICRF X,Y,Z,VX,VY,VZ spacecraft positions in au,au/day # : name of efficiency file for that pointing # # Only one block in the HST search +# see jpl_batch.txt for instructions on generating an ephemeris # 0.11 0.17 14:07:53.33 -11:21:38.0 2452667.9305555 1 HST.csv HST.eff diff --git a/fortran/tests/run_tests.sh b/F95/tests/run_tests.sh similarity index 100% rename from fortran/tests/run_tests.sh rename to F95/tests/run_tests.sh diff --git a/fortran/tests/test.sh b/F95/tests/test.sh similarity index 100% rename from fortran/tests/test.sh rename to F95/tests/test.sh diff --git a/fortran/F95/twotino-resmodel.f b/F95/twotino-resmodel.f similarity index 100% rename from fortran/F95/twotino-resmodel.f rename to F95/twotino-resmodel.f diff --git a/fortran/F95/xvutils.f95 b/F95/xvutils.f95 similarity index 97% rename from fortran/F95/xvutils.f95 rename to F95/xvutils.f95 index e707781..8636d2b 100644 --- a/fortran/F95/xvutils.f95 +++ b/F95/xvutils.f95 @@ -183,7 +183,7 @@ subroutine ObsPos (code, t, pos, vel, r, ierr) integer, intent(out) :: ierr real (kind=8), intent(in) :: t real (kind=8), intent(out) :: r - type(t_v3d) :: pos_b, vel_b + type(t_v3d) :: pos_b, vel_b, vel_b_rot, pos_b_rot integer :: istat real (kind=8), parameter :: km2AU = 149597870.691d0 real (kind=8) :: v_pos(3) @@ -209,8 +209,12 @@ subroutine ObsPos (code, t, pos, vel, r, ierr) write(0,*) "Failed while reading JPL Ephem for time ",t," using LUN: ",-1*code return end if + ! if we are working in JPL coords then we don't need to rotate to Ecliptic + r = dsqrt((pos%x + pos_b%x)**2 + (pos%y + pos_b%y)**2 & + + (pos%z + pos_b%z)**2) + return else - +! use observatory code value to determine location. ! Get heliocentric position of Earth. call newcomb (t, v_pos) pos%x = -v_pos(1) @@ -221,31 +225,32 @@ subroutine ObsPos (code, t, pos, vel, r, ierr) vel%z = 0.d0 ! Convert barycenter position to Equatorial. - call equat_ecl (-1, pos_b, pos_b, ierr) + call equat_ecl (-1, pos_b, pos_b_rot, ierr) if (ierr .ne. 0) then write (6, *) 'Problem in conversion ecliptic -> equatorial' end if - call equat_ecl (-1, vel_b, vel_b, ierr) + call equat_ecl (-1, vel_b, vel_b_rot, ierr) if (ierr .ne. 0) then write (6, *) 'Problem in conversion ecliptic -> equatorial' end if + ! Now move to barycenter. - pos%x = pos%x - pos_b%x - pos%y = pos%y - pos_b%y - pos%z = pos%z - pos_b%z - vel%x = vel%x - vel_b%x - vel%y = vel%y - vel_b%y - vel%z = vel%z - vel_b%z + pos%x = pos%x - pos_b_rot%x + pos%y = pos%y - pos_b_rot%y + pos%z = pos%z - pos_b_rot%z + vel%x = vel%x - vel_b_rot%x + vel%y = vel%y - vel_b_rot%y + vel%z = vel%z - vel_b_rot%z if (code .eq. 500) then else ierr = 10 return end if + ! Finally, computes distance from observatory to Sun. + r = dsqrt((pos%x + pos_b_rot%x)**2 + (pos%y + pos_b_rot%y)**2 & + + (pos%z + pos_b_rot%z)**2) end if -! Finally, computes distance from observatory to Sun. - r = dsqrt((pos%x + pos_b%x)**2 + (pos%y + pos_b%y)**2 & - + (pos%z + pos_b%z)**2) end subroutine ObsPos diff --git a/LICENCE.txt b/LICENCE.txt new file mode 100644 index 0000000..4153cd3 --- /dev/null +++ b/LICENCE.txt @@ -0,0 +1,287 @@ + EUROPEAN UNION PUBLIC LICENCE v. 1.2 + EUPL © the European Union 2007, 2016 + +This European Union Public Licence (the ‘EUPL’) applies to the Work (as defined +below) which is provided under the terms of this Licence. 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Applicable Law + +Without prejudice to specific agreement between parties, + +- this Licence shall be governed by the law of the European Union Member State + where the Licensor has his seat, resides or has his registered office, + +- this licence shall be governed by Belgian law if the Licensor has no seat, + residence or registered office inside a European Union Member State. + +Appendix + +‘Compatible Licences’ according to Article 5 EUPL are: + +- GNU General Public License (GPL) v. 2, v. 3 +- GNU Affero General Public License (AGPL) v. 3 +- Open Software License (OSL) v. 2.1, v. 3.0 +- Eclipse Public License (EPL) v. 1.0 +- CeCILL v. 2.0, v. 2.1 +- Mozilla Public Licence (MPL) v. 2 +- GNU Lesser General Public Licence (LGPL) v. 2.1, v. 3 +- Creative Commons Attribution-ShareAlike v. 3.0 Unported (CC BY-SA 3.0) for + works other than software +- European Union Public Licence (EUPL) v. 1.1, v. 1.2 +- Québec Free and Open-Source Licence — Reciprocity (LiLiQ-R) or Strong + Reciprocity (LiLiQ-R+). + +The European Commission may update this Appendix to later versions of the above +licences without producing a new version of the EUPL, as long as they provide +the rights granted in Article 2 of this Licence and protect the covered Source +Code from exclusive appropriation. + +All other changes or additions to this Appendix require the production of a new +EUPL version. diff --git a/README.md b/README.md index 1bddd6a..b60ffb2 100644 --- a/README.md +++ b/README.md @@ -22,14 +22,11 @@ eupl1.1.-licence-en_0.pdf (detailed description of the licence). This source code is provided as is, with no warranty of any kind. The user takes full responsiblity for any damage to system, and for any scientific conclusion drawn. - ### Contact The primary contact for the Survey Simulator code is: * Jean-Marc Petit: Jean-Marc.Petit@normalesup.org - ### Acknowledgement - Cite **Petit, J.-M., et al., AJ, Vol 142 ID 131 (2011)** if you make use of the SurveySimulator, or the CFEPS L7SyntheticModel-v09 Kuiper belt model. @@ -127,11 +124,85 @@ See Simulator/F95/fortran/example or Simulator/F77/fortan/example for examples o to compile (e.g. `make InnerHotModel`) a survey simulator. ### Simulator/ + +#### Simulator/fortran/{F95|F77}/SurevySubs.f +This contains the source code for the Survey Simulator. in particular Detos1 which determines, based on +the given orbit and the survey characterization area, which sources are detected. + +The Detos1 subrouting is described in the source code but reproduced here to make you aware of the inputs and outputs. + +```fortran + +subroutine Detos1 (o_m, jday, hx, color, gb, ph, period, amp, surnam, seed, & + debug, & + flag, ra, dec, d_ra, d_dec, r, delta, m_int, m_rand, eff, isur, mt, & + jdayp, ic, surna, h_rand, ierr) +!-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- +! This routine determines if a given object is seen by the survey +! described in the directory \verb|surnam|. +! An object is described by its ecliptic (J2000) barycentric osculating +! elements given at time \verb|jday|. +! This version uses polygons to describe the footprint of the block on +! the sky. +!-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- +! +! J.-M. Petit Observatoire de Besancon +! Version 1 : January 2006 +! Version 2 : May 2013 +! Version 3 : March 2016 +! Version 4 : May 2016 +! Changed API to remove size of arrays, added parameter +! statement to define array sizes (in include file). +! Continue looping on pointings until object is detected, +! characterized and tracked. Don't stop at first detection. +! +!-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- +! INPUT +! o_m : orbital elements of object (t_orb_m) +! jday : Time of elements [JD] (R8) +! hx : Absolute magnitude of object in 'x' band, what ever this is (R8) +! color : Array of colors (128*R8) +! IACHAR(FILTER)+1 : FILTER - X +! gb : opposition surge factor G, Bowell formalism (R8) +! ph : phase of lightcurve at epoch jday [rad] (R8) +! period: period of lightcurve [day] (R8) +! amp : amplitude of lightcurve [mag] (R8) +! surnam: Survey directory name (CH) +! +! OUTPUT +! seed : Random number generator seed (I4) +! flag : Return flag (I4): +! 0: not found +! 1: found, but not tracked +! 2: found and tracked +! 3: characterized, but not tracked +! 4: characterized and tracked +! ra : Right ascension at detection [rad] (R8) +! dec : Declination at detection [rad] (R8) +! d_ra : Right ascension rate [rad/day] (R8) +! d_dec : Declination rate [rad/day] (R8) +! r : Sun-object distance [AU] (R8) +! delta : Earth-object distance [AU] (R8) +! m_int : Intrinsic apparent magnitude, in x-band (R8) +! m_rand: Averaged randomized magnitude, in detection filter (R8) +! eff : Actual efficiency of detection (R8) +! isur : Identification number of survey the object was in (I4) +! mt : Mean anomaly at discovery [rad] (R8) +! jdayp : Time of discovery [JD] (R8) +! ic : Index of color used for survey (I4) +! surna : Detection survey name (CH10) +! h_rand: Absolute randomized magnitude, in detection filter (R8) +! ierr : error flag +!-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- +''' + +``` #### Simulator/{F95|F77}/fortran/ReadModelFromFile.f This contains the source code for a "GiMeObj" routine that reads an (orbital+size+colour+lightcurve) model from a file (lookup table). Use `make ReadModelFromFile` to build a `Driver` program that can be used to run simulation of observing the Kuiper belt model described in `ReadModelFromFile.f`. + #### Simulator/{F95|F77}/fortran/InnerHotModel.f Contains the source code for a GiMeObj routine that generates objects according to some parametric prescription. diff --git a/eupl1.1.-en_0_0.pdf b/eupl1.1.-en_0_0.pdf deleted file mode 100644 index d69ea0d..0000000 Binary files a/eupl1.1.-en_0_0.pdf and /dev/null differ diff --git a/eupl1.1.-licence-en_0.pdf b/eupl1.1.-licence-en_0.pdf deleted file mode 100644 index 80b5007..0000000 Binary files a/eupl1.1.-licence-en_0.pdf and /dev/null differ diff --git a/fortran/F77/Driver.f b/fortran/F77/Driver.f deleted file mode 100644 index b3af4ec..0000000 --- a/fortran/F77/Driver.f +++ /dev/null @@ -1,257 +0,0 @@ -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c File Parametric.f -c -c J.-M. Petit Observatoire de Besançon -c Version 1 : May 2013 -c -c The purpose of this program is to compare models of the Kuiper Belt to -c reality by actually comparing what the surveys (say CFEPS or OSSOS) -c would have found if the model was a good representation of the real -c world, to the objects that were actually found. -c -c The workflow of the survey simulator driver is as follows: -c -c Loop (some condition): -c call GiMeObj(arg_list_1) -c Check model ended: -c set exit condition -c call Detos1(arg_list_2) -c Check detection and tracking: -c store results -c -c The GiMeObj routine is in charge of providing a single new object at -c each call. The Detos1 routine determines is the proposed object would -c have been detected by the survey. -c -c The survey simulator expects orbital elements with respect to ecliptic -c reference frame. -c -c Logical unit numbers 7 to 19 are reserved to use by Driver.f and -c SurveySubs.f and should not be used by GiMeObj or any other routine -c that you may add to the driver. Please use logical unit numbers -c starting from 20. -c -c For more information, please refer to README files for details. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* - -C include 'GiMeObj.f' -C include 'SurveySubs.f' - program PM - implicit none - - integer*4 n_obj_max, screen, keybd, verbose, lun_h, lun_t - - parameter - $ (n_obj_max = 10000, screen = 6, keybd = 5, verbose = 9) - - real*8 Pi, TwoPi, drad - - parameter (Pi = 3.141592653589793238d0, TwoPi = 2.0d0*Pi, - $ drad = Pi/180.0d0) - -c color array NEEDS to be length 10 or more! - real*8 a, e, inc, node, peri, M, h, epoch, m_int, d_ra, d_dec, - $ r, delta, ra, dec, random, mt, color(10), gb, ph, period, amp, - $ jday_p, m_rand, eff, rn_iter, eff_lim, h_rand - - integer*4 n_hits, n_track, ierr, seed, flag, isur, ic, n_iter, - $ values(8), ! Values of date and time - $ n_track_max, nchar - - character distri_file*80, survey_dir*100, - $ trk_outfile*80, det_outfile*80, - $ comments*100, surna*10, - $ date*8, ! Date of execution - $ time*10, ! Time of execution - $ zone*5 ! Time zone - - logical keep_going - - lun_h = 10 - lun_t = 11 - keep_going = .true. - -c Get arguments -c Seed for random number generator - read (5, *, err=9999) seed -c Maximum number of detections (>0) or -maximum number of trials (<0) - read (5, *, err=9999) n_track_max -c Directory containing the characterization files - read (5, '(a)', err=9999) survey_dir - call strip_comments(survey_dir) -c File with model parameters - read (5, '(a)', err=9999) distri_file - call strip_comments(distri_file) -c Name for the detected objects outfile - read (5, '(a)', err=9999) det_outfile - call strip_comments(det_outfile) -c Name for the tracked objects outfile - read (5, '(a)', err=9999) trk_outfile - call strip_comments(trk_outfile) - -c Open output files and write header - open (unit=lun_h, file=det_outfile, status='new', err=9500) - write (lun_h, '(''# Seed: '', i10)') seed - write (lun_h, '(''#'')') - call date_and_time(date, time, zone, values) - write (lun_h, '(a17,a23,2x,a5)') '# Creation time: ', - $ date(1:4)//'-'//date(5:6)//'-'//date(7:8)//'T' - $ //time(1:2)//':'//time(3:4)//':'//time(5:10), zone - write (lun_h, '(''#'')') - write (lun_h, ' - $(''# flag: >0: detected; >2: characterized; 0 mod(2): tracked'')') - write (lun_h, '(''# Survey: name of the block'')') - write (lun_h, '(''#'')') - write (lun_h, '(a,a,a,a)') - $ '# a e i q r M node ', - $ ' peri m_rand', - $ ' H_rand color flag delta m_int H_int eff RA(H) ', - $ ' DEC Surv. Comments' - - open (unit=lun_t, file=trk_outfile, status='new', err=9501) - write (lun_t, '(a17,a23,2x,a5)') '# Creation time: ', - $ date(1:4)//'-'//date(5:6)//'-'//date(7:8)//'T' - $ //time(1:2)//':'//time(3:4)//':'//time(5:10), zone - write (lun_t, '(a,a)') - $ '# a e i q r M node ', - $ ' peri m_rand H_rand color Comments' - -c Initialize counters - n_hits = 0 - n_track = 0 - n_iter = 0 - rn_iter = 0.d0 - -c Open and read in object distribution - 100 continue - -c Main loop: loop on objects - if (keep_going) then - -c Select object. - nchar = 0 - call GiMeObj (distri_file, seed, a, e, inc, node, peri, - $ M, epoch, h, color, gb, ph, period, amp, comments, nchar, - $ ierr) - - if (ierr .eq. -10) then !Something wrong with this object, go to next one - goto 100 - else if (ierr .eq. -20) then !Something very wrong happend, stop - write (screen, '(a)') 'GiMeObj returned -20, stopping.' - goto 2000 - else if (ierr .eq. 100) then !Reached end of model, prepare to stop - keep_going = .false. - end if - -c Count number of iterations; may exceed 2**31, so use a real*8 helper - n_iter = n_iter + 1 - if (n_iter .gt. 2000000000) then - rn_iter = rn_iter + dble(n_iter) - n_iter = 0 - if (rn_iter .ge. 9.d9) goto 2000 - end if - -c Determine if the object would be detected - call Detos1 (a, e, inc, node, peri, M, epoch, h, color, gb, ph, - $ period, amp, survey_dir, seed, flag, ra, dec, d_ra, d_dec, r, - $ delta, m_int, m_rand, eff, isur, mt, jday_p, ic, surna, - $ h_rand) - -c Check if detected and tracked, and write to output files - if (flag .gt. 0) then - -c m_int and h are in "x" band (filter of object creation) -c m_rand and h_rand are in discovery filter - n_hits = n_hits + 1 - write (lun_h, 9000) a, e, inc/drad, a*(1.d0-e), r, mt/drad, - $ node/drad, peri/drad, m_rand, h_rand, color(ic), - $ flag, delta, m_int, h, eff, ra/drad/15., - $ dec/drad, surna, comments(1:nchar) - if ((flag .gt. 2) .and. (mod(flag,2) .eq. 0)) then - n_track = n_track + 1 - write (lun_t, 9010) a, e, inc/drad, a*(1.d0-e), r, - $ mt/drad, node/drad, peri/drad, m_rand, h_rand, - $ color(ic), comments(1:nchar) - end if - end if - -c Should we continue ? - if (((n_track_max .gt. 0) .and. (n_track .ge. n_track_max)) - $ .or. - $ ((n_track_max .lt. 0) .and. (n_iter .ge. -n_track_max))) then - keep_going = .false. - end if - goto 100 -c end of the if( keep_going ) loop - end if - - 2000 continue - write (lun_h, '(''#'')') - write (lun_h, '(''# Total number of objects: '', f11.0)') - $ rn_iter + dble(n_iter) - write (lun_h, '(''# Number of detections: '', i7)') n_hits - write (lun_h, '(''# Number of tracked objects: '', i7)') n_track - close (lun_h) - close (lun_t) - - stop - - 9000 format (f8.3,1x,f6.3,1x,6(f8.3,1x),2(f6.2,1x),f5.2,1x,i2, - $ 2(1x,f8.3),1x,f6.2,1x,f4.2,1x,f8.5,1x,f8.4,1x,a6,1x,a) - 9010 format (f8.3,1x,f6.3,1x,6(f8.3,1x),2(f6.2,1x),f5.2,1x,a) - - 9500 continue - write (screen, *) 'File "', det_outfile, '" already exists. ' - goto 9502 - - 9501 continue - write (screen, *) 'File "', trk_outfile, '" already exists. ' - goto 9502 - - 9502 continue - write (screen, *) 'Make sure "', det_outfile, '" and "', - $ trk_outfile, '" do not exist and restart SurveySimulator.' - stop - - 9999 continue - write (screen, *) 'Usage: SurveySimulator < input' - write (screen, *) - write (screen, *) - $ 'This will read the following from the keyboard:' - write (screen, *) '' - write (screen, *) '' - write (screen, *) '' - write (screen, *) '' - write (screen, *) '' - write (screen, *) '' - write (screen, *) 'where:' - write (screen, *) - $ ': integer used as seed for the random number generator' - write (screen, *) - $ ': maximum number of simulated tracked' - $ //' detection if > 0,' - write (screen, *) - $ ' -maximum number of trials if < 0' - write (screen, *) - $ ': directory of survey charactarization files' - write (screen, *) - $ ': name of the input file for GiMeObj' - write (screen, *) - $ ': output file for detected objects' - write (screen, *) - $ ': output file for tracked objects' - - stop - - end program pm - - SUBROUTINE STRIP_COMMENTS (str) - character*80 str - integer idx - idx = INDEX(str, '!') - if (idx > 0) then - read(str(:idx-1), '(a)') str - endif - END \ No newline at end of file diff --git a/fortran/F77/EffUtils.f b/fortran/F77/EffUtils.f deleted file mode 100644 index da120f0..0000000 --- a/fortran/F77/EffUtils.f +++ /dev/null @@ -1,232 +0,0 @@ - real*8 function eta_raw (rates, nr, eff_n, eff_b, - $ eff_m, mdum, rdum, ml, maglim) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine computes the efficiency at a given magnitude. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : April 2004 -c Version 2 : July 2004 -c Added 3 different types of efficiency functions, namely a -c single and a double hyperbolic tangent, and a piecewise -c linear function. -c Version 3 : June 2013 -c Added efficiency dependance on rate -c Version 4 : April 2014 -c Added limiting magnitude determination function of rate -c Version 5 : May 2016 -c Changed API to remove size of arrays, added parameter -c statement to define array sizes (in include file) -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c rates : Rates limits for efficiency function (2,n*R8) -c nr : Number of efficiency fucntions (I4) -c eff_n : Number of efficiency bins (n*I4) -c eff_b : Magnitude bin center (nb_max,n*R8) -c eff_m : Efficiency for that magnitude (nb_max,n*R8) -c mdum : magnitude (R8) -c rdum : rate of motion (R8) -c ml : Limiting magnitudes for rate ranges (n*R8) -c -c OUTPUT -c maglim: Limiting magnitude at given rate (R8) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) rates -Cf2py intent(in) nr -Cf2py intent(in) eff_n -Cf2py intent(in) eff_b -Cf2py intent(in) eff_m -Cf2py intent(in) mdum -Cf2py intent(in) rdum -Cf2py intent(in) ml -Cf2py intent(out) maglim - - implicit none - - include 'param.inc' - - integer*4 - $ ilo, ihi, i, eff_n(*), nr, ir - - real*8 - $ m, x, tanh, eff_b(n_bin_max,n_r_max), eff_m(n_bin_max,n_r_max), - $ mdum, rdum, rates(2,n_r_max), r, ml(n_r_max), maglim - - tanh(x) = (exp(x) - exp(-x))/(exp(x) + exp(-x)) - -c Retrieve magnitude and rate of motion - m = dmax1(0.d0, mdum) - r = rdum - -c Determine which efficiency function to use - ir = 0 - 500 continue - ir = ir + 1 - if ((r-rates(1,ir))*(r-rates(2,ir)) .le. 0.d0) goto 600 - if (ir .lt. nr) goto 500 - 510 continue - eta_raw = 0.d0 - maglim = 0.d0 - return - 600 continue -c Report limiting magnitude for this rate range - maglim = ml(ir) - -c This is the direct piecewise linear function from a lokup table - if (eff_n(ir) .gt. 0) then - -c If off bins, then flat continuation. - if (m .lt. eff_b(1,ir)) then - eta_raw = eff_m(1,ir) - return - else if (m .gt. eff_b(eff_n(ir),ir)) then - eta_raw = 0.d0 - return - else - -c Linear interpolation of table. - ilo = 1 - ihi = eff_n(ir) - 1000 continue - if (ihi - ilo .gt. 1) then - i = (ihi + ilo)/2 - if (eff_b(i,ir) .lt. m) then - ilo = i - else if (eff_b(i,ir) .gt. m) then - ihi = i - else - eta_raw = eff_m(i,ir) - return - end if - goto 1000 - end if - eta_raw = eff_m(ilo,ir) + (eff_m(ihi,ir) - eff_m(ilo,ir))* - $ (m - eff_b(ilo,ir))/(eff_b(ihi,ir) - eff_b(ilo,ir)) - end if - -c This is a single hyperbolic tangent function. -c \begin{equation} -c (A/2) * (1. - tanh((R-R_c)/d)) -c \end{equation} - else if (eff_n(ir) .eq. -1) then - eta_raw = eff_m(1,ir)/2.d0 * - $ (1.d0 - tanh((m - eff_m(2,ir))/eff_m(3,ir))) - -c This is a double hyperbolic tangent function. -c \begin{equation} -c (A/4) * (1. - tanh((R-R_c)/d1)) * (1. - tanh((R-R_c)/d2)) -c \end{equation} - else if (eff_n(ir) .eq. -2) then - eta_raw = eff_m(1,ir)/4.d0 * - $ (1.d0 - tanh((m - eff_m(2,ir))/eff_m(3,ir))) * - $ (1.d0 - tanh((m - eff_m(2,ir))/eff_m(4,ir))) - -c This is a piecewize linear function. -c \begin{eqnarray} -c A & {\rm if} & m < R_1 \\ -c \frac{(m - R_2) A}{R_1 - R_2} & {\rm if} & R_1 \le m < R_2 \\ -c 0 & {\rm if} & m \ge R_2 -c \end{eqnarray} - else if (eff_n(ir) .eq. -3) then - if (m .lt. eff_m(2,ir)) then - eta_raw = eff_m(1,ir) - else if (m .lt. eff_m(3,ir)) then - eta_raw = (m - eff_m(3,ir))*eff_m(1,ir)/ - $ (eff_m(2,ir) - eff_m(3,ir)) - else - eta_raw = 0.d0 - end if - -c This is the SKADS defined function -c \begin{equation} -c (A - c * (R-21.0)^2) / (1. + exph((R-R_c)/d)) -c \end{equation} - else if (eff_n(ir) .eq. -4) then - if (m .lt. 21.d0) then - eta_raw = eff_m(1,ir) - else - eta_raw = (eff_m(1,ir) - - $ eff_m(2,ir) * (m - 21.d0)**2) / - $ (1.d0 + exp((m - eff_m(3,ir))/eff_m(4,ir))) - end if - -c Unsupported efficiency function type. - else - write (6, *) 'Got efficiency function type ', eff_n(ir) - write (6, *) 'Should be >0, -1, -2 or -3.' - stop 'Something is wrong with this. Aborting.' - end if - - return - end - - real*8 function eta (rates, nr, eff_n, eff_b, - $ eff_m, mdum, rdum, ml, maglim) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine computes the efficiency at a given magnitude, keeping -c only the part that can be trusted for actual detectability of the -c theoretical magnitude ($\eta > 0.4$). -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : October 2006 -c Version 3 : June 2013 -c Added efficiency dependance on rate -c Version 4 : April 2014 -c Added limiting magnitude determination function of rate -c Version 5 : May 2016 -c Changed API to remove size of arrays, added parameter -c statement to define array sizes (in include file) -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c rates : Rates limits for efficiency function (2,n*R8) -c nr : Number of efficiency fucntions (I4) -c eff_n : Number of efficiency bins (n*I4) -c eff_b : Magnitude bin center (nb_max,n*R8) -c eff_m : Efficiency for that magnitude (nb_max,n*R8) -c mdum : magnitude (R8) -c rdum : rate of motion (R8) -c ml : Limiting magnitudes for rate ranges (n*R8) -c -c OUTPUT -c maglim: Limiting magnitude at given rate (R8) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) rates -Cf2py intent(in) nr -Cf2py intent(in) eff_n -Cf2py intent(in) eff_b -Cf2py intent(in) eff_m -Cf2py intent(in) mdum -Cf2py intent(in) rdum -Cf2py intent(in) ml -Cf2py intent(out) maglim - - implicit none - - include 'param.inc' - - integer*4 - $ eff_n(n_r_max), nr - - real*8 - $ eta_raw, eff_b(n_bin_max,n_r_max), eff_m(n_bin_max,n_r_max), - $ mdum, rdum, lim, rates(2,n_r_max), ml(n_r_max), maglim - - external - $ eta_raw - - data - $ lim /0.01d0/ - - save lim - - eta = eta_raw(rates, nr, eff_n, eff_b, eff_m, mdum, rdum, - $ ml, maglim) - if (eta .lt. lim) eta = 0.d0 - - return - end diff --git a/fortran/F77/ElemPosUtils.f b/fortran/F77/ElemPosUtils.f deleted file mode 100644 index f5b5298..0000000 --- a/fortran/F77/ElemPosUtils.f +++ /dev/null @@ -1,568 +0,0 @@ - -c \subroutine{coord\_cart} - - subroutine coord_cart (mu, a, ecc, inc, capo, smallo, capm, - $ x, y, z, vx, vy, vz) - -c This routine transforms delaunay variables into cartisian -c variables. -c -c ANGLES ARE GIVEN IN RADIAN !!!! -c -c \subsection{Arguments} -c \subsubsection{Definitions} -c \begin{verse} -c \verb|a, e, inc, capo, smallo, capm| = osculating elements \\ -c \verb|x, y, z, vx, vy, vz| = cartesian variables: $X, Y, Z, Px, Py, Pz$ -c \end{verse} -c -c Angles are in [rad] -c -c \subsubsection{Declarations} -c -Cf2py intent(in) mu -Cf2py intent(in) a -Cf2py intent(in) ecc -Cf2py intent(in) inc -Cf2py intent(in) capo -Cf2py intent(in) smallo -Cf2py intent(in) capm -Cf2py intent(out) x -Cf2py intent(out) y -Cf2py intent(out) z -Cf2py intent(out) vx -Cf2py intent(out) vy -Cf2py intent(out) vz - - implicit none - - real*8 - $ a, ecc, inc, capo, smallo, capm, mu, x, y, z, vx, vy, vz - -c \subsection{Variables} -c \subsubsection{Definitions} -c \begin{verse} -c \verb|cos_e, sin_e, cos_i, sin_i| = sinus and cosines of $E$ and -c $i$ \\ -c \verb|delau| = Delaunay variables: $l, \cos(g), \sin(g), \cos(h), -c \sin(h), L, G, H$ \\ -c \verb|e| = eccentric anomaly \\ -c \verb|mat| = rotation matrix \\ -c \verb|q_vec, qp| = $q$ and $\dot q$ \\ -c \verb|tmp| = temporary variable -c \end{verse} -c -c \subsubsection{Declarations} - - integer*4 - $ i - - real*8 - $ delau(8), cos_e, cos_i, e, mat(3,3), q_vec(2), qp(2), - $ sin_e, sin_i, tmp, signe, Pi, TwoPi, f, de, fp, fpp, fppp - - parameter - $ (Pi = 3.141592653589793238d0, TwoPi = 2.d0*Pi) - -c Computation of sinus and cosines of angles. - - signe = 1.d0 - if (a .lt. 0.d0) signe = -1.d0 - cos_i = dcos(inc) - sin_i = dsqrt(1.d0 - cos_i**2) - delau(2) = dcos(smallo) - delau(3) = dsin(smallo) - delau(4) = dcos(capo) - delau(5) = dsin(capo) - delau(1) = capm - int(capm/TwoPi)*TwoPi - delau(6) = signe*dsqrt(mu*a*signe) - delau(7) = abs(delau(6))*dsqrt((1.d0 - ecc**2)*signe) - -c Rotation matrix. -c The rotation matrix is the composition of 3 matrices: $R_{xq} = -c R_3(-h) \cdot R_1(-i) \cdot R_3(-g)$: -c \begin{displaymath} -c R_{xq} = \left(\matrix{ -c \cos(h)\cos(g)-\frac{H}{G}\sin(h)\sin(g)& -c -\cos(h)\sin(g)-\frac{H}{G}\sin(h)\cos(g)& -c \sqrt{1-\frac{H^2}{G^2}}\sin(h) \cr -c \sin(h)\cos(g)+\frac{H}{G}\cos(h)\sin(g)& -c -\sin(h)\sin(g)+\frac{H}{G}\cos(h)\cos(g)& -c -\sqrt{1-\frac{H^2}{G^2}}\cos(h) \cr -c \sqrt{1-\frac{H^2}{G^2}}\sin(g)& -c \sqrt{1-\frac{H^2}{G^2}}\cos(g)& -c \frac{H}{G} \cr}\right); -c \end{displaymath} - - mat(1,1) = delau(4)*delau(2) - cos_i*delau(5)*delau(3) - mat(1,2) = -delau(4)*delau(3) - cos_i*delau(5)*delau(2) - mat(2,1) = delau(5)*delau(2) + cos_i*delau(4)*delau(3) - mat(2,2) = -delau(5)*delau(3) + cos_i*delau(4)*delau(2) - mat(3,1) = sin_i*delau(3) - mat(3,2) = sin_i*delau(2) - -c Eccentric anomaly. -c We solve iteratively the equation: -c \begin{displaymath} -c E - e \sin(E) = l -c \end{displaymath} -c using the accelerated Newton's method (see Danby). - - e = delau(1) + sign(.85d0, dsin(delau(1)))*ecc - i = 0 - 1000 continue - sin_e = ecc*dsin(e) - f = e - sin_e - delau(1) - if (dabs(f) .gt. 1.d-14) then - cos_e = ecc*dcos(e) - fp = 1.d0 - cos_e - fpp = sin_e - fppp = cos_e - de = -f/fp - de = -f/(fp + de*fpp/2.d0) - de = -f/(fp + de*fpp/2.d0 + de*de*fppp/6.d0) - e = e + de - i = i + 1 - if (i .lt. 20) goto 1000 - write (6, *) 'COORD_CART: No convergence: ', i, f - write (6, *) mu, e, de - write (6, *) a, ecc, inc - write (6, *) capo, smallo, capm - stop - end if - 1100 continue - -c Coordinates relative to the orbit. -c The cartisian coordinate are given by $\vec X = R_{xq} \vec q$ -c and $\vec P = R_{xq} \dot{\vec q}$, where: -c \begin{eqnarray*} -c \vec q & = & \left(\frac{L^2}{\mu}(\cos(E) - e), -c \frac{GL}{\mu}\sin(E), 0\right), \\ -c \dot{\vec q} & = & \frac{\mu}{L(1 - e\cos(E))} -c \left(-\sin(E), \frac{G}{L}\cos(E), 0\right) -c \end{eqnarray*} - - cos_e = dcos(e) - sin_e = dsin(e) - q_vec(1) = delau(6)**2*(cos_e - ecc)/mu - q_vec(2) = delau(7)*delau(6)*sin_e/mu - tmp = mu/(delau(6)*(1.d0 - ecc*cos_e)) - qp(1) = -sin_e*tmp - qp(2) = delau(7)*cos_e*tmp/delau(6) - -c Cartisian coordinates - - x = mat(1,1)*q_vec(1) + mat(1,2)*q_vec(2) - y = mat(2,1)*q_vec(1) + mat(2,2)*q_vec(2) - z = mat(3,1)*q_vec(1) + mat(3,2)*q_vec(2) - vx = mat(1,1)*qp(1) + mat(1,2)*qp(2) - vy = mat(2,1)*qp(1) + mat(2,2)*qp(2) - vz = mat(3,1)*qp(1) + mat(3,2)*qp(2) - - return - end - -c \subroutine{pos\_cart} - - subroutine pos_cart (a, ecc, inc, capo, smallo, capm, - $ x, y, z) - -c This routine transforms delaunay variables into cartisian -c variables, positions only. -c -c \subsection{Arguments} -c \subsubsection{Definitions} -c \begin{verse} -c \verb|a, e, inc, capo, smallo, capm| = osculating elements \\ -c \verb|x, y, z| = cartesian variables: $X, Y, Z$ -c \end{verse} -c -c Angles are in [rad] -c -c \subsubsection{Declarations} -c -Cf2py intent(in) a -Cf2py intent(in) ecc -Cf2py intent(in) inc -Cf2py intent(in) capo -Cf2py intent(in) smallo -Cf2py intent(in) capm -Cf2py intent(out) x -Cf2py intent(out) y -Cf2py intent(out) z - - implicit none - - real*8 - $ a, ecc, inc, capo, smallo, capm, x, y, z - -c \subsection{Variables} -c \subsubsection{Definitions} -c \begin{verse} -c \verb|cos_e, sin_e, cos_i, sin_i| = sinus and cosines of $E$ and -c $i$ \\ -c \verb|delau| = Delaunay variables: $l, \cos(g), \sin(g), \cos(h), -c \sin(h), L, G, H$ \\ -c \verb|e| = eccentric anomaly \\ -c \verb|mat| = rotation matrix \\ -c \verb|q_vec| = $q$ \\ -c \end{verse} -c -c \subsubsection{Declarations} - - integer*4 - $ i - - real*8 - $ delau(8), cos_e, cos_i, e, mat(3,3), q_vec(2), - $ sin_e, sin_i, signe, Pi, TwoPi, f, de, fp, fpp, fppp - - parameter - $ (Pi = 3.141592653589793238d0, TwoPi = 2.d0*Pi) - -c Computation of sinus and cosines of angles. - - signe = 1.d0 - if (a .lt. 0.d0) signe = -1.d0 - cos_i = dcos(inc) - sin_i = dsqrt(1.d0 - cos_i**2) - delau(2) = dcos(smallo) - delau(3) = dsin(smallo) - delau(4) = dcos(capo) - delau(5) = dsin(capo) - delau(1) = capm - int(capm/TwoPi)*TwoPi - delau(6) = signe*dsqrt(a*signe) - delau(7) = abs(delau(6))*dsqrt((1.d0 - ecc**2)*signe) - -c Rotation matrix. -c The rotation matrix is the composition of 3 matrices: $R_{xq} = -c R_3(-h) \cdot R_1(-i) \cdot R_3(-g)$: -c \begin{displaymath} -c R_{xq} = \left(\matrix{ -c \cos(h)\cos(g)-\frac{H}{G}\sin(h)\sin(g)& -c -\cos(h)\sin(g)-\frac{H}{G}\sin(h)\cos(g)& -c \sqrt{1-\frac{H^2}{G^2}}\sin(h) \cr -c \sin(h)\cos(g)+\frac{H}{G}\cos(h)\sin(g)& -c -\sin(h)\sin(g)+\frac{H}{G}\cos(h)\cos(g)& -c -\sqrt{1-\frac{H^2}{G^2}}\cos(h) \cr -c \sqrt{1-\frac{H^2}{G^2}}\sin(g)& -c \sqrt{1-\frac{H^2}{G^2}}\cos(g)& -c \frac{H}{G} \cr}\right); -c \end{displaymath} - - mat(1,1) = delau(4)*delau(2) - cos_i*delau(5)*delau(3) - mat(1,2) = -delau(4)*delau(3) - cos_i*delau(5)*delau(2) - mat(2,1) = delau(5)*delau(2) + cos_i*delau(4)*delau(3) - mat(2,2) = -delau(5)*delau(3) + cos_i*delau(4)*delau(2) - mat(3,1) = sin_i*delau(3) - mat(3,2) = sin_i*delau(2) - -c Eccentric anomaly. -c We solve iteratively the equation: -c \begin{displaymath} -c E - e \sin(E) = l -c \end{displaymath} -c using the accelerated Newton's method (see Danby). - - e = delau(1) + sign(.85d0, dsin(delau(1)))*ecc - i = 0 - 1000 continue - sin_e = ecc*dsin(e) - f = e - sin_e - delau(1) - if (dabs(f) .gt. 1.d-14) then - cos_e = ecc*dcos(e) - fp = 1.d0 - cos_e - fpp = sin_e - fppp = cos_e - de = -f/fp - de = -f/(fp + de*fpp/2.d0) - de = -f/(fp + de*fpp/2.d0 + de*de*fppp/6.d0) - e = e + de - i = i + 1 - if (i .lt. 20) goto 1000 - write (6, *) 'POS_CART: No convergence: ', i, f - write (6, *) e, de - write (6, *) a, ecc, inc - write (6, *) capo, smallo, capm - stop - end if - 1100 continue - -c Coordinates relative to the orbit. -c The cartisian coordinate are given by $\vec X = R_{xq} \vec q$ -c and $\vec P = R_{xq} \dot{\vec q}$, where: -c \begin{eqnarray*} -c \vec q & = & \left(\frac{L^2}{\mu}(\cos(E) - e), -c \frac{GL}{\mu}\sin(E), 0\right), \\ -c \dot{\vec q} & = & \frac{\mu}{L(1 - e\cos(E))} -c \left(-\sin(E), \frac{G}{L}\cos(E), 0\right) -c \end{eqnarray*} - - cos_e = dcos(e) - sin_e = dsin(e) - q_vec(1) = delau(6)**2*(cos_e - ecc) - q_vec(2) = delau(7)*delau(6)*sin_e - -c Cartisian coordinates - - x = mat(1,1)*q_vec(1) + mat(1,2)*q_vec(2) - y = mat(2,1)*q_vec(1) + mat(2,2)*q_vec(2) - z = mat(3,1)*q_vec(1) + mat(3,2)*q_vec(2) - - return - end - -c \subroutine{coord\_cart} - - subroutine PQ_cart (inc, capo, smallo, P, Q, R) - -c This routine transforms delaunay variables into cartisian -c variables. -c -c ANGLES ARE GIVEN IN RADIAN !!!! -c -c \subsection{Arguments} -c \subsubsection{Definitions} -c \begin{verse} -c \verb|inc, capo, smallo| = osculating elements \\ -c \verb|P, Q, R| = $\vec P$, $\vec Q$ and $\vec P \times \vec Q$ vectors -c \end{verse} -c -c \subsubsection{Declarations} -c -Cf2py intent(in) inc -Cf2py intent(in) capo -Cf2py intent(in) smallo -Cf2py intent(out) P -Cf2py intent(out) Q -Cf2py intent(out) R - - implicit none - - real*8 - $ inc, capo, smallo, P(3), Q(3), R(3) - -c \subsection{Variables} -c \subsubsection{Definitions} -c \begin{verse} -c \verb|cos_i, sin_i| = sinus and cosines of $i$ \\ -c \verb|delau| = Delaunay variables: $l, \cos(g), \sin(g), \cos(h), -c \sin(h), L, G, H$ -c \end{verse} -c -c \subsubsection{Declarations} - - integer*4 - $ i - - real*8 - $ delau(8), cos_i, sin_i - -c Computation of sinus and cosines of angles. - - cos_i = dcos(inc) - sin_i = dsqrt(1.d0 - cos_i**2) - delau(2) = dcos(smallo) - delau(3) = dsin(smallo) - delau(4) = dcos(capo) - delau(5) = dsin(capo) - -c Rotation matrix. -c The rotation matrix is the composition of 3 matrices: $R_{xq} = -c R_3(-h) \cdot R_1(-i) \cdot R_3(-g)$: -c \begin{displaymath} -c R_{xq} = \left(\matrix{ -c \cos(h)\cos(g)-\frac{H}{G}\sin(h)\sin(g)& -c -\cos(h)\sin(g)-\frac{H}{G}\sin(h)\cos(g)& -c \sqrt{1-\frac{H^2}{G^2}}\sin(h) \cr -c \sin(h)\cos(g)+\frac{H}{G}\cos(h)\sin(g)& -c -\sin(h)\sin(g)+\frac{H}{G}\cos(h)\cos(g)& -c -\sqrt{1-\frac{H^2}{G^2}}\cos(h) \cr -c \sqrt{1-\frac{H^2}{G^2}}\sin(g)& -c \sqrt{1-\frac{H^2}{G^2}}\cos(g)& -c \frac{H}{G} \cr}\right); -c \end{displaymath} - - P(1) = delau(4)*delau(2) - cos_i*delau(5)*delau(3) - Q(1) = -delau(4)*delau(3) - cos_i*delau(5)*delau(2) - R(1) = sin_i*delau(5) - P(2) = delau(5)*delau(2) + cos_i*delau(4)*delau(3) - Q(2) = -delau(5)*delau(3) + cos_i*delau(4)*delau(2) - R(2) = -sin_i*delau(4) - P(3) = sin_i*delau(3) - Q(3) = sin_i*delau(2) - R(3) = cos_i - - return - end - -c \subroutine{osc\_el} - - subroutine osc_el (mu, x, y, z, vx, vy, vz, - $ a, ecc, inc, capo, smallo, capm) - -c This routine transforms cartisian variables into delaunay -c variables. -c -c \subsection{Arguments} -c \subsubsection{Definitions} -c \begin{verse} -c \verb|a, e, inc, capo, smallo, capm| = osculating elements \\ -c \verb|cart| = cartesian variables: $X, Y, Z, Px, Py, Pz$ -c \end{verse} -c -c \subsubsection{Declarations} -Cf2py intent(in) mu -Cf2py intent(in) x -Cf2py intent(in) y -Cf2py intent(in) z -Cf2py intent(in) vx -Cf2py intent(in) vy -Cf2py intent(in) vz -Cf2py intent(out) a -Cf2py intent(out) ecc -Cf2py intent(out) inc -Cf2py intent(out) capo -Cf2py intent(out) smallo -Cf2py intent(out) capm - - implicit none - - real*8 - $ a, ecc, inc, capo, smallo, capm, mu, x, y, z, vx, vy, vz - -c \subsection{Variables} -c \subsubsection{Definitions} -c \begin{verse} -c \verb|cos_i, sin_i| = sinus and cosines of $i$ \\ -c \verb|delau| = Delaunay variables: $l, \cos(g), \sin(g), \cos(h), -c \sin(h), L, G, H$ \\ -c \verb|e| = eccentric anomaly \\ -c \verb|f| = $f$ true anomaly \\ -c \verb|g| = $g$ argument of pericenter \\ -c \verb|h_vec| = $\vec h = \vec X \times \vec P$ \\ -c \verb|p_vec| = $\vec p = -\mu \frac{\vec X}{r} -c - \vec h \times \vec P$ \\ -c \verb|r| = radial distance \\ -c \verb|tmp1, tmp2| = temporary variables \\ -c \verb|v2| = velocity squared -c \end{verse} -c -c \subsubsection{Declarations} - - real*8 - $ delau(8), e, f, h_vec(3), p_vec(3), - $ r, tmp1, tmp2, v2, signe, cart(6) - -c Computation of angular momentum and eccentricity vector. -c \begin{eqnarray*} -c \vec h & = & \vec X \times \vec P, \\ -c \vec p & = & -\mu \frac{\vec X}{|\vec X|} -c - \vec h \times \vec P -c \end{eqnarray*} - - cart(1) = x - cart(2) = y - cart(3) = z - cart(4) = vx - cart(5) = vy - cart(6) = vz - h_vec(1) = cart(2)*cart(6) - cart(3)*cart(5) - h_vec(2) = cart(3)*cart(4) - cart(1)*cart(6) - h_vec(3) = cart(1)*cart(5) - cart(2)*cart(4) - r = 1.d0/dsqrt(cart(1)**2 + cart(2)**2 + cart(3)**2) - p_vec(1) = -mu*cart(1)*r - h_vec(2)*cart(6) + h_vec(3)*cart(5) - p_vec(2) = -mu*cart(2)*r - h_vec(3)*cart(4) + h_vec(1)*cart(6) - p_vec(3) = -mu*cart(3)*r - h_vec(1)*cart(5) + h_vec(2) - $ *cart(4) - -c Computation of momenta. -c \begin{eqnarray*} -c L & = & \mu\sqrt{\frac{1} -c {\frac{2\mu}{|\vec X|}-|\vec P|^2}}, \\ -c G & = & |\vec h|, \\ -c H & = & h_z -c \end{eqnarray*} - - v2 = cart(4)**2 + cart(5)**2 + cart(6)**2 - tmp1 = 2.d0*mu*r - v2 - signe = 1.d0 - if (tmp1 .lt. 0.d0) signe = -1.d0 - delau(6) = signe*mu/dsqrt(signe*tmp1) - delau(7) = h_vec(1)**2 + h_vec(2)**2 + h_vec(3)**2 - delau(8) = h_vec(3) - ecc = dsqrt(dmax1(mu**2 - delau(7)*tmp1, 0.d0))/mu - delau(7) = dsqrt(delau(7)) - - if ((cart(3) .eq. 0.d0) .and. (cart(6) .eq. 0.d0)) then - delau(4) = 1.d0 - delau(5) = 0.d0 - tmp1 = 1.d0/dsqrt(p_vec(1)**2 + p_vec(2)**2) - delau(2) = p_vec(1)*tmp1 - delau(3) = p_vec(2)*tmp1 - else - -c Longitude of node. -c \begin{eqnarray*} -c \cos(h) & = & -\frac{h_y}{\sqrt{h_x^2 + h_y^2}}, \\ -c \sin(h) & = & \frac{h_x}{\sqrt{h_x^2 + h_y^2}} -c \end{eqnarray*} - - tmp1 = 1.d0/dsqrt(h_vec(1)**2 + h_vec(2)**2) - delau(4) = -h_vec(2)*tmp1 - delau(5) = h_vec(1)*tmp1 - -c Argument of pericenter. -c Let us call $\vec N$ the vector derived from $\vec h$, pointing -c to the ascending node: -c \begin{displaymath} -c \vec N = \left(-h_y, h_x, 0\right) -c \end{displaymath} -c From this, we get: -c \begin{eqnarray*} -c \cos(g) & = & \frac{\vec N \cdot \vec p}{|\vec N||\vec p|}, \\ -c \sin(g) & = & \frac{\vec N \times \vec p}{|\vec N||\vec p|} -c \cdot \frac{\vec h}{|\vec h|} -c \end{eqnarray*} - - tmp2 = 1.d0/dsqrt(p_vec(1)**2 + p_vec(2)**2 + p_vec(3)**2) - delau(2) = (h_vec(1)*p_vec(2) - h_vec(2)*p_vec(1))*tmp1*tmp2 - delau(3) = ((h_vec(1)**2 + h_vec(2)**2)*p_vec(3) - $ - h_vec(3)*(h_vec(1)*p_vec(1) + h_vec(2)*p_vec(2))) - $ *tmp1*tmp2/delau(7) - end if - -c Mean anomaly -c We define $\vec X_{orb} = R_1(i) \cdot R_3(h) \vec X$. It turns -c out that $\vec X_{orb} = (r \cos(g+f), r \sin(g+f), 0)$. Hence: -c \begin{eqnarray*} -c \cos(g+f) & = & \cos(h) X + \sin(h) Y, \\ -c \sin(g+f) & = & \cos(i) \left(\cos(h) Y - \sin(h) X\right) -c + \sin(i) Z -c \end{eqnarray*} -c Furthermore, we have the relation: -c \begin{displaymath} -c \tan(\frac{E}{2}) = \sqrt{\frac{1 - e}{1 + e}} -c \tan(\frac{f}{2}) -c \end{displaymath} -c and finally: -c \begin{displaymath} -c l = E - e \sin(E) -c \end{displaymath} - - tmp1 = (cart(1)*p_vec(1) + cart(2)*p_vec(2) + cart(3)*p_vec(3)) - tmp2 = ((cart(3)*p_vec(2) - cart(2)*p_vec(3))*h_vec(1) - $ + (cart(1)*p_vec(3) - cart(3)*p_vec(1))*h_vec(2) - $ + (cart(2)*p_vec(1) - cart(1)*p_vec(2))*h_vec(3)) - $ /delau(7) - f = datan2(tmp2, tmp1) - e = 2.d0*datan(dsqrt(signe*(1.d0 - ecc)/(1.d0 + ecc)) - $ *dtan(f/2.d0)) - capm = e - ecc*dsin(e) - capo = datan2(delau(5), delau(4)) - smallo = datan2(delau(3), delau(2)) - a = signe*delau(6)**2/mu - inc = dacos(dmax1(dmin1(delau(8)/delau(7),1.d0),-1.d0)) - - return - end diff --git a/fortran/F77/GetSurvey.f b/fortran/F77/GetSurvey.f deleted file mode 100644 index aa759a1..0000000 --- a/fortran/F77/GetSurvey.f +++ /dev/null @@ -1,1268 +0,0 @@ - subroutine GetSurvey (survey, lun_s, - $ n_sur, sur_pl, sur_ne, sur_t, sur_ff, sur_co, sur_x, - $ sur_y, sur_z, sur_r, sur_t2, sur_x2, sur_y2, sur_z2, sur_r2, - $ sur_ef, sur_nr, sur_rt, sur_en, sur_eb, sur_em, sur_mm, sur_rn, - $ sur_rx, sur_an, sur_aw, sur_ta, sur_tm, sur_ts, sur_dm, sur_ph, - $ sur_ml, sur_f, ierr) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine reads in a survey description. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : February 2004 -c Version 2 : October 2004 -c Version 3 : January 2006 -c Version 4 : May 2016 -c Changed API to remove size of arrays, added parameter -c statement to define array sizes (in include file) -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c survey: Survey directory name (CH) -c lun_s : Logical unit for file (I4) -c -c OUTPUT -c n_sur : Number of pointings read (I4) -c sur_pl: Array of polygons (2,n_e_max,n*R8) -c sur_ne: Array of nuumber of edges in polygons (n*I4) -c sur_t : Time of pointing (n*R8) [days] -c sur_ff: Filling factor (n*R8) -c sur_co: Observatory code (n*I4) -c sur_x : ICRF x coordinate of observatory (n*R8) -c sur_y : ICRF y coordinate of observatory (n*R8) -c sur_z : ICRF z coordinate of observatory (n*R8) -c sur_r : Distance from observatory to Sun (n*R8) -c sur_t2: Time of pointing 2 hours later (n*R8) [days] -c sur_x2: ICRF x coordinate of observatory 2 hours later (n*R8) -c sur_y2: ICRF y coordinate of observatory 2 hours later (n*R8) -c sur_z2: ICRF z coordinate of observatory 2 hours later (n*R8) -c sur_r2: Distance from observatory to Sun 2 hours later (n*R8) -c sur_ef: Name of efficiency function file (n*CH80) -c sur_nr: Number of efficiency functions per pointing (n*I4) -c sur_rt: Rates limits for efficiency function ([rad/day]) (2,n_r_max,n*R8) -c sur_en: Number of bins in efficiency function (n_r_max,n*I4) -c sur_eb: Bin centers for efficiency function (n_bin_max,n_r_max,n*R8) -c sur_em: Efficiency at bin center (n_bin_max,n_r_max,n*R8) -c sur_mm: Limiting magnitude for each survey (n*R8) -c sur_rn: Lower rate cut ([rad/day]) (n*R8) -c sur_rx: Upper rate cut ([rad/day]) (n*R8) -c sur_an: Mean direction of motion ([rad]) (n*R8) -c sur_aw: Half-width of direction cone ([rad]) (n*R8) -c sur_ta: Maximum tracking fraction (n*R8) -c sur_tm: Tracking fraction magnitude intercept (n*R8) -c sur_ts: Tracking fraction magtnidue slope (n*R8) -c sur_dm: Magnitude error parameters (6,n*R8) -c sur_ph: Photometric measurments fractions (3,n*R8) -c sur_ml: Limiting magnitude of survey (n_r_max,n*R8) -c sur_f : Filter used for this survey (n*I4) -c ierr : Error code (I4) -c 0 : nominal run -c 100 : Maximum number of objects reached -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) survey -Cf2py intent(in) lun_s -Cf2py intent(out) n_sur -Cf2py intent(out) sur_pl -Cf2py intent(out) sur_ne -Cf2py intent(out) sur_t -Cf2py intent(out) sur_ff -Cf2py intent(out) sur_co -Cf2py intent(out) sur_x -Cf2py intent(out) sur_y -Cf2py intent(out) sur_z -Cf2py intent(out) sur_r -Cf2py intent(out) sur_t2 -Cf2py intent(out) sur_x2 -Cf2py intent(out) sur_y2 -Cf2py intent(out) sur_z2 -Cf2py intent(out) sur_r2 -Cf2py intent(out) sur_ef -Cf2py intent(out) sur_nr -Cf2py intent(out) sur_rt -Cf2py intent(out) sur_en -Cf2py intent(out) sur_eb -Cf2py intent(out) sur_em -Cf2py intent(out) sur_mm -Cf2py intent(out) sur_rn -Cf2py intent(out) sur_rx -Cf2py intent(out) sur_an -Cf2py intent(out) sur_aw -Cf2py intent(out) sur_ta -Cf2py intent(out) sur_tm -Cf2py intent(out) sur_ts -Cf2py intent(out) sur_dm -Cf2py intent(out) sur_ph -Cf2py intent(out) sur_ml -Cf2py intent(out) sur_f -Cf2py intent(out) ierr - - implicit none - - include 'param.inc' - - real*8 - $ sur_t(n_sur_max), sur_ff(n_sur_max), sur_x(n_sur_max), - $ sur_y(n_sur_max), sur_z(n_sur_max), sur_r(n_sur_max), - $ sur_t2(n_sur_max), sur_x2(n_sur_max), sur_y2(n_sur_max), - $ sur_z2(n_sur_max), sur_r2(n_sur_max), - $ sur_eb(n_bin_max, n_r_max, n_sur_max), - $ sur_em(n_bin_max, n_r_max, n_sur_max), - $ jday_p, ff, obspos(3), ros, - $ rates(2, n_r_max), sur_rt(2, n_r_max, n_sur_max), - $ eff_b(n_bin_max, n_r_max), eff_m(n_bin_max, n_r_max), - $ sur_mm(n_sur_max), sur_rn(n_sur_max), sur_rx(n_sur_max), - $ sur_an(n_sur_max), sur_ph(3,n_sur_max), - $ sur_aw(n_sur_max), sur_ta(n_sur_max), sur_tm(n_sur_max), - $ sur_ts(n_sur_max), sur_dm(6,n_sur_max), - $ sur_ml(n_r_max,n_sur_max), eta, obspos2(3), - $ ros2, maglim(n_r_max), - $ jday_p2, rate_c(4), d_mag(6), rate, track(3), photf(3), tmp, - $ poly(2,n_e_max), sur_pl(2,n_e_max,n_sur_max) - - integer*4 - $ sur_co(n_sur_max), sur_en(n_r_max,n_sur_max), sur_nr(n_sur_max), - $ sur_f(n_sur_max), nr, j, - $ eff_n(n_r_max), code, i, lun_s, n_sur, ierr, i1, i2, filt_i, - $ n_e, sur_ne(n_sur_max) - - character - $ survey*(*), sur_ef(n_sur_max)*80, eff_name*80 - - logical - $ finished - - external eta - -c Open and read in survey definitions - call read_file_name (survey, i1, i2, finished, len(survey)) - n_sur = 0 - 200 continue - call read_sur (survey(i1:i2), lun_s, poly, n_e, - $ jday_p, ff, code, obspos, ros, jday_p2, - $ obspos2, ros2, eff_name, nr, rates, eff_n, eff_b, eff_m, - $ rate_c, track, d_mag, photf, maglim, filt_i, ierr) - - if (ierr .ne. 0) then - if (ierr .eq. 10) then - write (6, *) - $ 'Unable to open ',survey(i1:i2),'/pointings.list' - else if (ierr .eq. 20) then - write (6, *) - $ 'Error reading ',survey(i1:i2),'/pointings.list' - write (6, *) 'Survey number: ', n_sur - goto 200 - else if (ierr .eq. 30) then - goto 300 - else - write (6, *) 'Unknown return code in read_obj.' - end if - stop - end if - - n_sur = n_sur + 1 - sur_t(n_sur) = jday_p - sur_ff(n_sur) = ff - sur_co(n_sur) = code - sur_x(n_sur) = obspos(1) - sur_y(n_sur) = obspos(2) - sur_z(n_sur) = obspos(3) - sur_r(n_sur) = ros - sur_t2(n_sur) = jday_p2 - sur_x2(n_sur) = obspos2(1) - sur_y2(n_sur) = obspos2(2) - sur_z2(n_sur) = obspos2(3) - sur_r2(n_sur) = ros2 - sur_rn(n_sur) = rate_c(1) - sur_rx(n_sur) = rate_c(2) - sur_an(n_sur) = rate_c(3) - sur_aw(n_sur) = rate_c(4) - sur_ta(n_sur) = track(1) - sur_tm(n_sur) = track(2) - sur_ts(n_sur) = track(3) - sur_f(n_sur) = filt_i - do i = 1, 6 - sur_dm(i,n_sur) = d_mag(i) - end do - do i = 1, 3 - sur_ph(i,n_sur) = photf(i) - end do - sur_ef(n_sur) = eff_name - sur_nr(n_sur) = nr - sur_ne(n_sur) = n_e - do j = 1, n_e+1 - sur_pl(1,j,n_sur) = poly(1,j) - sur_pl(2,j,n_sur) = poly(2,j) - end do -c write (18, *) 'Survey number: ', n_sur -c write (18, *) sur_w(n_sur), sur_h(n_sur), sur_ra(n_sur), -c $ sur_de(n_sur) -c write (18, *) sur_t(n_sur), sur_ff(n_sur), sur_co(n_sur) -c write (18, *) sur_x(n_sur), sur_y(n_sur), sur_z(n_sur), -c $ sur_r(n_sur) -c write (18, *) sur_ef(n_sur), sur_nr(n_sur) - sur_mm(n_sur) = 0.d0 - do j = 1, nr - sur_rt(1,j,n_sur) = rates(1,j) - sur_rt(2,j,n_sur) = rates(2,j) - sur_en(j, n_sur) = eff_n(j) - sur_ml(j, n_sur) = maglim(j) -c write (18, *) j, sur_rt(1,j,n_sur), sur_rt(2,j,n_sur), -c $ sur_en(j,n_sur) - if (eff_n(j) .gt. 0) then - do i = 1, eff_n(j) - sur_eb(i,j,n_sur) = eff_b(i,j) - sur_em(i,j,n_sur) = eff_m(i,j) -c write (18, *) j,i,sur_eb(i,j,n_sur),sur_em(i,j,n_sur) - end do - sur_mm(n_sur) = max(sur_mm(n_sur), eff_b(eff_n(j),j)) -c write (18, *) sur_mm(n_sur) - else if (eff_n(j) .eq. -1) then - do i = 1, 3 - sur_em(i,j,n_sur) = eff_m(i,j) - end do - else if ((eff_n(j) .eq. -2) .or. (eff_n(j) .eq. -4)) then - do i = 1, 4 - sur_em(i,j,n_sur) = eff_m(i,j) - end do - else if (eff_n(j) .eq. -3) then - do i = 1, 3 - sur_em(i,j,n_sur) = eff_m(i,j) - end do - else - write (6, *) 'Got efficiency function type ', eff_n(j), j - write (6, *) 'Should be >0, -1, -2, -3 or -4.' - stop 'Something is wrong with this. Aborting.' - end if - if (eff_n(j) .lt. 0) then - rate = 0.5d0*(sur_rt(1,j,n_sur) + sur_rt(2,j,n_sur)) -c write (18, *) 'Rate: ', rate - ff = 40.d0 - 250 continue - ff = ff - 0.1d0 - ros = eta(rates, sur_nr(n_sur), - $ eff_n, eff_b, eff_m, ff, rate, maglim, tmp) -c write (18, *) ff, ros - if ((ros .eq. 0.d0) .and. (ff .ge. -0.05d0)) goto 250 - 260 continue - sur_mm(n_sur) = max(sur_mm(n_sur), ff+0.1d0) - end if -c write (18, *) n_sur, j, sur_mm(n_sur) - end do -c write (18, *) n_sur, sur_mm(n_sur) - goto 200 - 300 continue - - ierr = 0 - return - end - - subroutine trim (base_name, i1, i2, finished, len) -Cf2py intent(in) base_name -Cf2py intent(in) len -Cf2py intent(out) i1 -Cf2py intent(out) i2 -Cf2py intent(out) finished - implicit none - - integer*4 - $ i1, i2, len - - character - $ base_name*(*) - - logical - $ finished - - finished = .false. - i1 = 1 - 100 continue - if ((base_name(i1:i1) .eq. char(0)) - $ .or. (base_name(i1:i1) .eq. char(9)) - $ .or. (base_name(i1:i1) .eq. ' ')) then - i1 = i1 + 1 - if (i1 .eq. len) then - finished = .true. - return - end if - goto 100 - end if - 101 continue - - i2 = len - 110 continue - if ((base_name(i2:i2) .eq. char(0)) - $ .or. (base_name(i2:i2) .eq. char(9)) - $ .or. (base_name(i2:i2) .eq. ' ')) then - if (i2 .eq. i1) goto 111 - i2 = i2 - 1 - goto 110 - end if - 111 continue - - return - end - - subroutine read_file_name (base_name, i1, i2, finished, len) -Cf2py intent(in) base_name -Cf2py intent(in) len -Cf2py intent(out) i1 -Cf2py intent(out) i2 -Cf2py intent(out) finished - implicit none - - integer*4 - $ i1, i2, len - - character - $ base_name*(*) - - logical - $ finished - - finished = .false. - i1 = 1 - 100 continue - if ((base_name(i1:i1) .eq. char(0)) - $ .or. (base_name(i1:i1) .eq. char(9)) - $ .or. (base_name(i1:i1) .eq. ' ')) then - i1 = i1 + 1 - if (i1 .eq. len) then - finished = .true. - return - end if - goto 100 - end if - 101 continue - - i2 = i1 + 1 - 110 continue - if ((base_name(i2:i2) .ne. char(0)) - $ .and. (base_name(i2:i2) .ne. char(9)) - $ .and. (base_name(i2:i2) .ne. ' ')) then - if (i2 .eq. len) goto 111 - i2 = i2 + 1 - goto 110 - end if - i2 = i2 - 1 - 111 continue - - return - end - - subroutine read_sur (dirn, lun_in, poly, n_e, jday, - $ ff, code, pos, r, jday2, pos2, r2, efnam, nr, rates, eff_n, - $ eff_b, eff_m, rate_c, track, d_mag, photf, maglim, filt_i, ierr) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine opens and reads in the survey description file. -c Angles are returned in radian. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : February 2004 -c Version 2 : October 2004 -c Version 3 : May 2016 -c Changed API to remove size of arrays, added parameter -c statement to define array sizes (in include file) -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c dirn : Name of directory with survey definition (CH) -c lun_in: File unit (I4) -c -c OUTPUT -c poly : Array of points to define a polygon ((2,n)*R8) -c n_e : Number of edges in polygon (I4) -c jday : Time of pointing (R8) [days] -c ff : Filling factor (R8) -c code : Observatory code (I4) -c pos : Observatory position (3*R8) -c r : Observatory distance to Sun (R8) -c jday2 : Time of pointing 2 hours later (R8) [days] -c pos2 : Observatory position 2 hours later (3*R8) -c r2 : Observatory distance to Sun 2 hours later (R8) -c efnam : Efficiency file name (CH) -c nr : Number of efficiency fucntions (I4) -c rates : Rates limits for efficiency function ([rad/day]) (2,n*R8) -c eff_n : Number of bins in efficiency (I4) -c eff_b : efficiency center of bins (n*R8) -c eff_m : efficiency of corresponding bin (n*R8) -c rate_c: rate cut parameters ([rad/day] and [rad]) (4*R8) -c track : tracking fraction parameters (3*R8) -c d_mag : Magnitude error parameters (6*R8) -c photf : Photometric measurments fractions (3*R8) -c maglim: Limiting magnitude of survey (n*R8) -c filt_i: filter index (I4) -c ierr : Error code -c 0 : nominal run -c 10 : unable to open pointing file -c 20 : error reading record -c 30 : end of file reached -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) dirn -Cf2py intent(in) lun_in -Cf2py intent(out) poly -Cf2py intent(out) n_e -Cf2py intent(out) jday -Cf2py intent(out) ff -Cf2py intent(out) code -Cf2py intent(out) pos -Cf2py intent(out) r -Cf2py intent(out) jday2 -Cf2py intent(out) pos2 -Cf2py intent(out) r2 -Cf2py intent(out) efnam -Cf2py intent(out) nr -Cf2py intent(out) rates -Cf2py intent(out) eff_n -Cf2py intent(out) eff_b -Cf2py intent(out) eff_m -Cf2py intent(out) rate_c -Cf2py intent(out) track -Cf2py intent(out) d_mag -Cf2py intent(out) photf -Cf2py intent(out) maglim -Cf2py intent(out) filt_i -Cf2py intent(out) ierr - - implicit none - - include 'param.inc' - - integer*4 - $ n_e - - real*8 - $ w, h, ra, dec, ff, pos(3), eff_b(n_bin_max, n_r_max), - $ eff_m(n_bin_max, n_r_max), - $ jday, r, vel(3), photf(3), maglim(n_r_max), - $ pos2(3), r2, jday2, rate_c(4), track(3), d_mag(6), - $ rates(2,n_r_max), poly(2,n_e_max) - - integer - $ lun_in, ierr, j, code, eff_n(n_r_max), nw, lw(nw_max), lun_e, - $ ierr_e, i1, i2, i3, i4, filt_i, nr - - character - $ line*100, dirn*(*), efnam*(*), word(nw_max)*80, fname*100 - - logical - $ opened, finished - - data opened /.false./ - - save opened - - call read_file_name (dirn, i1, i2, finished, len(dirn)) - ierr = 0 - lun_e = lun_in + 1 - if (.not. opened) then - line(1:i2-i1+1) = dirn(i1:i2) - line(i2-i1+2:) = '/pointings.list' - open (unit=lun_in, file=line, status='old', err=1000) - opened = .true. - end if - 1500 continue - do j = 1, len(line) - line(j:j) = ' ' - end do - read (lun_in, '(a)', err=2000, end=3000) line - if (line(1:1) .eq. '#') goto 1500 - call parse (line, nw_max, nw, word, lw) - if (word(1)(1:4) .eq. 'ears') then - if (nw .lt. 7) goto 2000 - j = index(word(2), ':') - if (j .le. 0) then - read (word(2), *, err=2000) ra - else - call hms (word(2), ra) - ra = ra*15.d0 - end if - ra = ra*drad - call hms (word(3), dec) - dec = dec*drad - call create_ears(ra, dec, poly, n_e) - do j = nw, 4, -1 - word(j+1) = word(j) - lw(j+1) = lw(j) - end do - nw = nw + 1 - else if (word(1)(1:4) .eq. 'poly') then - if (nw .lt. 8) goto 2000 - read (word(2), *, err=2000) n_e - j = index(word(3), ':') - if (j .le. 0) then - read (word(3), *, err=2000) ra - else - call hms (word(3), ra) - ra = ra*15.d0 - end if - ra = ra*drad - call hms (word(4), dec) - dec = dec*drad - do j = 1, n_e - read (lun_in, *, err=2000, end=3000) poly(1,j), poly(2,j) - poly(1,j) = poly(1,j)*drad - poly(2,j) = poly(2,j)*drad - end do - call create_poly(ra, dec, poly, n_e) -c write (6, *) 'This feature is not implemented yet.' -c goto 2000 - else - if (word(1)(1:4) .eq. 'rect') then - do j = 2, nw - word(j-1) = word(j) - lw(j-1) = lw(j) - end do - nw = nw - 1 - end if - if (nw .lt. 8) goto 2000 - read (word(1), *, err=2000) w - w = w*drad/2.d0 - read (word(2), *, err=2000) h - h = h*drad/2.d0 - j = index(word(3), ':') - if (j .le. 0) then - read (word(3), *, err=2000) ra - else - call hms (word(3), ra) - ra = ra*15.d0 - end if - ra = ra*drad - call hms (word(4), dec) - dec = dec*drad - call create_rectangle(w, h, ra, dec, poly, n_e) - end if - call check_polygon(poly, n_e) - read (word(5), *, err=2000) jday - read (word(6), *, err=2000) ff - read (word(7), *, err=2000) code - -c USE OF SLALIB: need to get longitude, latitude and elevation of -c observatory. This is given by the sla_OBS routine. One then needs to -c get the LST (see documentation on EXPLANATION AND EXAMPLES: -c Ephemerides). - - efnam = word(8) - call read_file_name (efnam, i3, i4, finished, len(efnam)) - -c Open and read in efficiency function - fname(1:i2-i1+2) = dirn(i1:i2)//'/' - fname(i2-i1+3:) = efnam - call read_eff (fname, lun_e, eff_b, eff_m, eff_n, - $ rates, nr, rate_c, d_mag, photf, track, maglim, filt_i, ierr_e) - - if (ierr_e .eq. 10) then - write (6, *) 'Unable to open '//word(8) - goto 2000 - else if (ierr_e .eq. 0) then - goto 1610 - else - write (6, *) 'Unknown return code in read_sur.' - stop - end if - 1610 continue - -c Get rid of unused bins at high magnitude for lookup tables - do i1 = 1, nr - if (eff_n(i1) .gt. 0) then - j = eff_n(i1) - 1700 continue - if (eff_m(j,i1) .le. 0.d0) then - j = j - 1 - goto 1700 - end if - eff_n(i1) = amin0(j+1, eff_n(i1)) - end if - end do - -c Computes observatory position at given jday, in ICRF - call ObsPos (code, jday, pos, vel, r, ierr_e) - if (ierr_e .ne. 0) then - write (6, *) 'Error while computing observatory''s position.' - write (6, *) 'ierr = ', ierr_e - goto 2000 - end if - -c The same, 2 hours later - jday2 = jday + TwoHours - call ObsPos (code, jday2, pos2, vel, r2, ierr_e) - if (ierr_e .ne. 0) then - write (6, *) 'Error while computing observatory''s position.' - write (6, *) 'ierr = ', ierr_e - goto 2000 - end if - return - - 1000 continue - ierr = 10 - return - - 2000 continue - ierr = 20 - return - - 3000 continue - ierr = 30 - close (lun_in) - opened = .false. - return - - end - - subroutine read_eff (filen, lun_in, bin, eff, eff_n, - $ rates, nrates, rate_c, mag_er, photf, track, maglim, filt_i, - $ ierr) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine opens and reads in efficiency file. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : February 2004 -c Version 2 : April 2013 -c Changed to read new pointings and efficiency file format -c Version 5 : May 2016 -c Changed API to remove size of arrays, added parameter -c statement to define array sizes (in include file) -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c filen : object element file name -c lun_in: File unit -c -c OUTPUT -c bin : Magnitude bin center (n_bin_max,n_r_max*R8) -c eff : Efficiency for that bin (n_bin_max,n_r_max*R8) -c eff_n : Number of bins in efficiency (n_r_max*I4) -c -4 : so-called "square" function -c -3 : piecewise linear function -c -2 : double hyperbolic tangent -c -1 : single hyperbolic tangent -c >0 : number of bins in lookup table -c rates : Rates limits for efficiency function ([rad/day]) (2,n_r_max*R8) -c nrates: Number of efficiency fucntions (I4) -c rate_c: rate cut parameters ([rad/day] and [rad]) (4*R8) -c mag_er: Magnitude error parameters (6*R8) -c photf : Photometric measurments fractions (3*R8) -c track : tracking fraction parameters (3*R8) -c maglim: Limiting magnitude of survey (n_r_max*R8) -c filt_i: filter index (I4) -c 1 : g -c 2 : r -c 3 : i -c 4 : z -c 5 : u -c 6 : B -c 7 : V -c 8 : R -c 9 : I -c ierr : Error code -c 0 : nominal run -c 10 : unable to open filen -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py inten(in) filen -Cf2py inten(in) lun_in -Cf2py intent(out) bin -Cf2py intent(out) eff -Cf2py intent(out) eff_n -Cf2py intent(out) rates -Cf2py intent(out) nrates -Cf2py intent(out) rate_c -Cf2py intent(out) mag_er -Cf2py intent(out) photf -Cf2py intent(out) track -Cf2py intent(out) maglim -Cf2py intent(out) filt_i -Cf2py intent(out) ierr - - implicit none - - include 'param.inc' - - real*8 - $ bin(n_bin_max, n_r_max), eff(n_bin_max, n_r_max), rate_c(4), - $ mag_er(6), track(3), rates(2, n_r_max), photf(3), - $ maglim(n_r_max) - - integer - $ lun_in, ierr, eff_n(n_r_max), eq_ind, nw, lw(nw_max), i, nrates, - $ j, filt_i - - character - $ line*100, filen*(*), word(nw_max)*80 - - logical - $ rcut, tr, fi, mag, in_rates, in_func, rate(0:n_r_max), ph - - rcut = .false. - tr = .false. - fi = .false. - mag = .false. - in_rates = .false. - in_func = .false. - rate(0) = .true. - do i = 1, 10 - rate(i) = .false. - end do - ph = .false. - - ierr = 0 - open (unit=lun_in, file=filen, status='old', err=1000) - nrates = 0 - - 1500 continue - read (lun_in, '(a)', err=1500, end=3000) line - if (line(1:1) .eq. '#') goto 1500 - eq_ind = index(line, '=') - if (eq_ind .le. 0) goto 1500 - call parse (line(1:eq_ind-1), nw_max, nw, word, lw) - if (nw .ne. 1) goto 1500 - if (word(1)(1:lw(1)) .eq. 'rate_cut') then - read (line(eq_ind+1:), *, err=1500) (rate_c(i),i=1,4) -c Change rates to rad/day - rate_c(1) = rate_c(1)*24.d0/3600.d0*drad - rate_c(2) = rate_c(2)*24.d0/3600.d0*drad -c Change angles to radian - rate_c(3) = rate_c(3)*drad - rate_c(4) = rate_c(4)*drad - rcut = .true. - in_rates = .false. - in_func = .false. - else if (word(1)(1:lw(1)) .eq. 'mag_error') then - read (line(eq_ind+1:), *, err=1500, end=1500) (mag_er(i),i=1,6) - mag_er(2) = log10(mag_er(2)/mag_er(1))/(mag_er(3)-21.d0) - mag = .true. - in_rates = .false. - in_func = .false. - else if (word(1)(1:lw(1)) .eq. 'phot_frac') then - read (line(eq_ind+1:), *, err=1500, end=1500) (photf(i),i=1,3) - ph = .true. - in_rates = .false. - in_func = .false. - else if (word(1)(1:lw(1)) .eq. 'track_frac') then - read (line(eq_ind+1:), *, err=1500) (track(i),i=1,3) - tr = .true. - in_rates = .false. - in_func = .false. - else if (word(1)(1:lw(1)) .eq. 'filter') then - call parse (line(eq_ind+1:), nw_max-1, nw, word(2), lw(2)) - if (word(2)(1:1) .eq. 'g') then - filt_i = 1 - else if (word(2)(1:1) .eq. 'r') then - filt_i = 2 - else if (word(2)(1:1) .eq. 'i') then - filt_i = 3 - else if (word(2)(1:1) .eq. 'z') then - filt_i = 4 - else if (word(2)(1:1) .eq. 'u') then - filt_i = 5 - else if (word(2)(1:1) .eq. 'B') then - filt_i = 6 - else if (word(2)(1:1) .eq. 'V') then - filt_i = 7 - else if (word(2)(1:1) .eq. 'R') then - filt_i = 8 - else if (word(2)(1:1) .eq. 'I') then - filt_i = 9 - else - goto 1500 - end if - fi = .true. - in_rates = .false. - in_func = .false. - else if (word(1)(1:lw(1)) .eq. 'rates') then - j = nrates - if (rate(nrates)) then - j = j + 1 - end if - read (line(eq_ind+1:), *, err=1500) (rates(i, j),i=1,2) -c Change rates to rad/day - rates(1,j) = rates(1,j)*24.d0/3600.d0*drad - rates(2,j) = rates(2,j)*24.d0/3600.d0*drad - nrates = j - maglim(nrates) = -1.d0 - in_rates = .true. - in_func = .false. - else if (word(1)(1:lw(1)) .eq. 'function') then - if (in_rates) then - call parse (line(eq_ind+1:), nw_max-1, nw, word(2), lw(2)) - if (word(2) .eq. 'single') eff_n(nrates) = -1 - if (word(2) .eq. 'double') eff_n(nrates) = -2 - if (word(2) .eq. 'linear') eff_n(nrates) = -3 - if (word(2) .eq. 'square') eff_n(nrates) = -4 - if (word(2) .eq. 'lookup') eff_n(nrates) = 0 - in_func = .true. - end if - else if (word(1)(1:lw(1)) .eq. 'linear_param') then - if (in_func .and. (eff_n(nrates) .eq. -3)) then - read (line(eq_ind+1:), *, err=1500, end=1500) - $ (eff(i,nrates),i=1,3) - rate(nrates) = .true. -c in_rates = .false. - in_func = .false. - end if - else if (word(1)(1:lw(1)) .eq. 'single_param') then - if (in_func .and. (eff_n(nrates) .eq. -1)) then - read (line(eq_ind+1:), *, err=1500, end=1500) - $ (eff(i,nrates),i=1,3) - rate(nrates) = .true. -c in_rates = .false. - in_func = .false. - end if - else if (word(1)(1:lw(1)) .eq. 'double_param') then - if (in_func .and. (eff_n(nrates) .eq. -2)) then - read (line(eq_ind+1:), *, err=1500, end=1500) - $ (eff(i,nrates),i=1,4) - rate(nrates) = .true. -c in_rates = .false. - in_func = .false. - end if - else if (word(1)(1:lw(1)) .eq. 'square_param') then - if (in_func .and. (eff_n(nrates) .eq. -4)) then - read (line(eq_ind+1:), *, err=1500, end=1500) - $ (eff(i,nrates),i=1,4) - rate(nrates) = .true. -c in_rates = .false. - in_func = .false. - end if - else if (word(1)(1:lw(1)) .eq. 'lookup_param') then - if (in_func .and. (eff_n(nrates) .ge. 0)) then - i = eff_n(nrates) + 1 - read (line(eq_ind+1:), *, err=1500, end=1500) - $ bin(i, nrates), eff(i, nrates) - eff_n(nrates) = i - rate(nrates) = .true. - end if - else if (word(1)(1:lw(1)) .eq. 'mag_lim') then - if (in_rates) then - read (line(eq_ind+1:), *, err=1500, end=1500) maglim(nrates) - end if - else - write (6, *) 'WARNING: unknown key '//word(1)(1:lw(1)) - in_rates = .false. - in_func = .false. - end if - goto 1500 - - 1000 continue - ierr = 10 - return - - 3000 continue - close (lun_in) - if (.not. rcut) then - write (6, *) 'Survey file: ', filen - write (6, *) 'ERROR: rate cut parameters not defined.' - stop - end if - if (.not. tr) then - write (6, *) 'Survey file: ', filen - write (6, *) 'ERROR: tracking parameters not defined.' - stop - end if - if (.not. fi) then - write (6, *) 'Survey file: ', filen - write (6, *) 'ERROR: filter not defined.' - stop - end if - 3010 continue - if ((nrates .gt. 0) .and. .not. rate(nrates)) then - nrates = nrates - 1 - goto 3010 - end if - if (nrates .le. 0) then - write (6, *) 'Survey file: ', filen - write (6, *) 'ERROR: no efficiency function defined.' - stop - end if - if (.not. mag) then - mag_er(1) = 0.026d0 - mag_er(2) = 0.33d0 - mag_er(3) = 24.45d0 - mag_er(4) = 0.7d0 - mag_er(5) = 23.7d0 - mag_er(6) = -0.3d0 - write (6, *) 'Survey file: ', filen - write (6, *) - $ 'WARNING: magnitude error parameters not defined, using ' - $ //'default values:', mag_er(1), ', ', mag_er(2), ', ', - $ mag_er(3), ', ', mag_er(4), ', ', mag_er(5), ', ', mag_er(6) - mag_er(2) = log10(mag_er(2)/mag_er(1))/(mag_er(3)-21.d0) - end if - if (.not. ph) then - photf(1) = 1.d0 - photf(2) = 0.d0 - photf(3) = 0.d0 - write (6, *) 'Survey file: ', filen - write (6, *) - $ 'WARNING: photometric measurements fractions not defined, ' - $ //'using default values:', photf(1), ', ', photf(2), - $ ', ', photf(3) - end if - do j = 1, nrates - if (rate(j) .and. (maglim(j) .le. 0.d0)) then - write (6, *) 'Survey file: ', filen, '; rate range: ', - $ rates(1,j), ' - ', rates(2,j) - write (6, *) - $ 'WARNING: limiting magnitude not defined, ' - $ //'using efficiency instead.' - end if - end do - ierr = 0 - return - - end - - subroutine create_ears(ra, dec, poly, n_e) -Cf2py intent(in) ra -Cf2py intent(in) dec -Cf2py intent(out) poly -Cf2py intent(out) n_e - implicit none - - integer*4 - $ n_e - - real*8 - $ ra, dec, dra, h, w, poly(2,*), e_w, e_h - -c Below values are from assuming a size of 1°x1° for the "central" -c square and add 1/2° height and 1/9° width ears. However, looking at -c the resulting polygons, they seem to be somewhat too large -c data -c $ h /0.008726646259971648d0/, -c $ w /0.008726646259971648d0/, -c $ e_h /0.004363323129985824d0/, -c $ e_w /0.0019392547244381439d0/ -c -c Now, maybe we can do better. Let's look at image 1805373p.fits. -c Pointing is (13:32:29.29; -9:31:03.9) or (203.122042; -9.517750) -c Now, the corners of the "central" square are: -c (13:30:29.97; -10:00:48.4) or (202.624875; -10.013444) -c (13:34:27.66; -10:00:36.0) or (203.615250; -10.010000) -c (13:34:26.45; -09:00:58.4) or (203.610208; -09.016222) -c (13:30:29.44; -09:01:11.4) or (202.622667; -09.019833) -c This is a "square" of 0.9753° x 0.9937° -c -c Now, add the ears: -c (13:34:53.45; -09:16:26.2) or (203.722708; -09.273944) -c (13:34:27.30; -09:16:26.1) or (203.613750; -09.273917) -c (13:34:27.89; -09:45:09.2) or (203.616208; -09.752556) -c (13:34:54.05; -09:45:04.4) or (203.725208; -09.751222) -c This is a "rectangle" of 0.1075° x 0.4780° -c -c (13:30:29.09; -09:16:38.9) or (202.621208; -09.277472) -c (13:30:02.88; -09:16:42.3) or (202.512000; -09.278417) -c (13:30:03.18; -09:45:19.7) or (202.513250; -09.755472) -c (13:30:29.33; -09:45:21.5) or (202.622208; -09.755972) -c This is a "rectangle" of 0.1076° x 0.4778° -c -c So let's make the area 0.9753° x 0.9937° + 2 x 0.010755° x 0.4779° = -c 0.979435239 sq.deg. The CCDs are 2048x4612 with pixels -c 0.18689x0.18689" resulting in an area of 0.0254558 sq.deg. for each -c CCD, or 1.0182 sq.deg. Oops, there is a big problem. I guess it's the -c size of the pixels that's to big. Applying this size to the cenral -c square yield something reasonable, with pixels covering less than the -c whole size of the array. But the ears are in trouble. The pixel heigh -c seems to be too large. Actually, the main problem is that the WCS is -c not good enough, and the central horizontal gap has vanished, and -c some pixels are enven overlapping. I need to get an image with -c Stephen's header. -c Officially, the header says the size of the pixel is 0.185"x0.185", -c somewhat smaller than what JJ says, but I'll stick to what JJ says. -C Actually, I cannot use Stephen's header with DS9 as the latter -C doesn't know how to use the PVs, and is rather using the CDs. -c -c The horizontal size of the central square shuold be greater than -c 9x2112 = 19008 pixels or 3552.4". This implies a gap of ~32 pixels -c between the chips, in addition to the oversans, 32 pixels on each -c side. I'll assume the small horizontal gap is similar in the center -c of the frame. Then for the same 1° full size, the wisth of the large -c gaps is 327 and 328 pixels. -c -c From all this, I assume a half width of 0.5°, a half height of 0.5°, -c the width of the ears (32+2112)*0.18689" = 1/9°, and half height of -c (2*4644+32)*0.18689" = 0.483837° -c data -c $ h /0.008726646259971648d0/, -c $ w /0.008726646259971648d0/, -c $ e_h /0.004222278224995352d0/, -c $ e_w /0.0019392547244381439d0/ -c -c The above gives a lot of overlap. Using the PVs and CDs, I determined -c the exact footprint of a series of MegaPrime40 frames (in ~/Research -c /OSSOS/src/MegaPrime40.FOV) and averaged them. In addition to the -c positions below, I also determined the pixel size: 0.186" x 0.1849" - data - $ h /0.008678d0/, - $ w /0.008545d0/, - $ e_h /0.004169d0/, - $ e_w /0.001913d0/ - - n_e = 12 - poly(2,1) = dec - h - poly(2,12) = poly(2,1) - poly(2,13) = poly(2,1) - poly(2,6) = dec + h - poly(2,7) = poly(2,6) - poly(2,2) = dec - e_h - poly(2,3) = poly(2,2) - poly(2,10) = poly(2,2) - poly(2,11) = poly(2,2) - poly(2,4) = dec + e_h - poly(2,5) = poly(2,4) - poly(2,8) = poly(2,4) - poly(2,9) = poly(2,4) - - dra = w/dcos(poly(2,1)) - poly(1,1) = ra - dra - poly(1,13) = poly(1,1) - poly(1,12) = ra + dra - dra = w/dcos(poly(2,2)) - poly(1,2) = ra - dra - poly(1,11) = ra + dra - dra = (w + e_w)/dcos(poly(2,2)) - poly(1,3) = ra - dra - poly(1,10) = ra + dra - dra = (w + e_w)/dcos(poly(2,4)) - poly(1,4) = ra - dra - poly(1,9) = ra + dra - dra = w/dcos(poly(2,4)) - poly(1,5) = ra - dra - poly(1,8) = ra + dra - dra = w/dcos(poly(2,6)) - poly(1,6) = ra - dra - poly(1,7) = ra + dra - return - end - - subroutine create_rectangle(w, h, ra, dec, poly, n_e) -Cf2py intent(in) w -Cf2py intent(in) h -Cf2py intent(in) ra -Cf2py intent(in) dec -Cf2py intent(out) poly -Cf2py intent(out) n_e - - implicit none - - integer*4 - $ n_e - - real*8 - $ w, h, ra, dec, dra, poly(2,*) - - n_e = 4 - poly(2,1) = dec - h - poly(2,4) = poly(2,1) - poly(2,2) = dec + h - poly(2,3) = poly(2,2) - poly(2,5) = poly(2,1) - - dra = w/dcos(poly(2,1)) - poly(1,1) = ra - dra - poly(1,4) = ra + dra - dra = w/dcos(poly(2,2)) - poly(1,2) = ra - dra - poly(1,3) = ra + dra - poly(1,5) = poly(1,1) - return - end - - subroutine create_poly(ra, dec, poly, n_e) -Cf2py intent(in) ra -Cf2py intent(in) dec -Cf2py intent(in,out) poly -Cf2py intent(in) n_e - - implicit none - - integer*4 - $ n_e, j - - real*8 - $ ra, dec, dra, poly(2,*) - - do j = 1, n_e - poly(2,j) = dec + poly(2,j) - poly(1,j) = ra + poly(1,j)/dcos(poly(2,j)) - end do - poly(1,n_e+1) = poly(1,1) - poly(2,n_e+1) = poly(2,1) - - return - end - -c \subroutine{parse} - -c Parses a line returns a list of words by getting rid of space characters - - subroutine parse (command, nwmax, nw, word, lw) -Cf2py intent(in) command -Cf2py intent(in) nwmax -Cf2py intent(out) nw -Cf2py intent(out) word -Cf2py intent(out) lw - -c \subsection{Arguments} -c \subsubsection{Definitions} -c \begin{verse} -c \verb|command| = command line to parse \\ -c \verb|lw()| = word lengthes \\ -c \verb|nw| = number of words in command line \\ -c \verb|nwmax| = maximum allowed number of words \\ -c \verb|word()| = words in command line -c \end{verse} - -c \subsubsection{Declarations} - - integer*4 - $ lw(1), nw, nwmax - - character - $ command*(*), word(1)*(*) - -c \subsection{Variables} -c \subsubsection{Internal variables} -c \begin{verse} -c \verb|k| = dummy index \\ -c \verb|lc| = length of command line \\ -c \end{verse} - -c \subsubsection{Intrinsic Fortran functions used} -c \begin{verse} -c \verb|index| -c \end{verse} - -c \subsubsection{Declarations} - - integer*4 - $ k, lc, lw0 - -c \subsection{Parsing} - - do nw = 1, nwmax - lw(nw) = 0 - end do - lc = len(command) - 1000 continue - if ((command(lc:lc) .eq. char(0)) - $ .or. (command(lc:lc) .eq. ' ')) then - lc = lc - 1 - if (lc .eq. 0) goto 1001 - goto 1000 - end if - 1001 continue - nw = 0 - do k = 1, nwmax - word(k) = ' ' - end do - - 1100 continue - if (lc .gt. 0) then - -c Gets rid of leading space characters - if (nw .ge. nwmax) then - write (6, *) command - write (6, *) 'parse: too many words in command line.' - stop - end if - 1050 continue - if (command(1:1) .eq. ' ') then - command = command (2:lc) - lc = lc - 1 - goto 1050 - end if - -c Finds a word - - nw = nw + 1 - lw0 = index(command, ' ') - 1 - if (lw0 .le. 0) then - lw(nw) = lc - word(nw) = command(1:lc) - lc = -1 - else - word (nw) = command (1:lw0) - lw(nw) = lw0 - command = command (lw0+2:lc) - lc = lc - lw0 - 1 - end if - goto 1100 - end if - - return - end - - subroutine hms(str,val) -Cf2py intent(in) str -Cf2py intent(out) val -c -c...Crack String And Create Value -c - IMPLICIT - * NONE - CHARACTER*(*) - * str - DOUBLE PRECISION - * val, piece(3), dp, sgn, z - INTEGER - * nstr, i, j, dpfind - CHARACTER*1 - * c -c -c...Initialization -c - 100 val = 0.0D00 - DO i=1,3 - piece(i) = 0.0D00 - ENDDO - j = 1 - dpfind = 0 - sgn = 1.0D00 - nstr = LEN(str) - IF (nstr.le.0) RETURN -c -c...Loop Over The String -c - DO i=1,nstr - c = str(i:i) -c -c...Parse -c - IF ((c.eq.'-').or.(c.eq.'e').or.(c.eq.'E') - * .or.(c.eq.'s').or.(c.eq.'S')) THEN - sgn = -1.0D00 - ELSEIF ((c.eq.'+').or.(c.eq.'w').or.(c.eq.'W') - * .or.(c.eq.'n').or.(c.eq.'N')) THEN - sgn = 1.0D00 - ELSEIF ((c.eq.':').or.(c.eq.',').or.(c.eq.' ')) THEN - j = j+1 - dpfind = 0 - IF (j.gt.3) GO TO 110 - ELSEIF (c.eq.'.') THEN - dpfind = 1 - dp = 1.0D00 - ELSEIF ((c.ge.'0').and.(c.le.'9')) THEN - z = ICHAR(c)-ICHAR('0') - IF (dpfind.eq.0) THEN - piece(j) = 10.0D00*piece(j) + z - ELSE - dp = 0.1D00*dp - piece(j) = piece(j) + dp*z - ENDIF - ENDIF - ENDDO -c -c...Return -c - 110 val = piece(1) + piece(2)/60.0D00 + piece(3)/3600.0D00 - val = val*sgn - RETURN - END - - include 'EffUtils.f' - include 'PosVelUtils.f' - include 'Polygon-lib.f' diff --git a/fortran/F77/InlineIncludeParam.py b/fortran/F77/InlineIncludeParam.py deleted file mode 100755 index a3b9d1f..0000000 --- a/fortran/F77/InlineIncludeParam.py +++ /dev/null @@ -1,53 +0,0 @@ -#! /usr/bin/env python -""" -Inline the "include 'param.inc'" statements in SurveySubs.f. -""" - -def read_file_raw(fichier): - """ - Reads in file 'fichier' and returns a list of lines. - No processing is done on any line. - """ - iter = 0 - while True: - try: - f = open(fichier,'r') - except IOError: - try: - fg = gzip.open(fichier+'.gz','r') - except IOError: - print ('Cannot open', fichier, ' nor ', fichier+'.gz') - iter += 1 - if iter > 5: - print ('Something is wrong, quitting!') - lines = None - break - fichier = input('Please re-enter the file name: ') - else: - lines = fg.readlines() - fg.close() - break - else: - lines = f.readlines() - f.close() - break - return lines - -if __name__ == "__main__": - fin = 'zzzz1' - fout = 'zzzz0' - lines = read_file_raw(fin) - pas = read_file_raw('param.inc') - if lines: - fo = open(fout, 'w') - for line in lines: - cp = True - ws = line.split() - if (len(ws) == 2): - if (((ws[0] == "include") or (ws[0] == "INCLUDE")) and (ws[1] == "'param.inc'")): - cp = False - for pa in pas: - fo.write(pa) - if cp: - fo.write(line) - fo.close() diff --git a/fortran/F77/InnerHotModel.f b/fortran/F77/InnerHotModel.f deleted file mode 100644 index 70ab9a8..0000000 --- a/fortran/F77/InnerHotModel.f +++ /dev/null @@ -1,400 +0,0 @@ -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c InnerHotMain.f -c -c Generic model routines for Survey Simulator, version 2.0 -c -c THIS ROUTINE PROVIDES A TOY MODEL of the inner classical Kuiper Belt. -C This is NOT the L7 CFEPS model for this inner classical belt, but rather -C a stripped-down version that illustrates the basic functionality needed by -C every GiMeObj routine. -c Since this routine is called once for every object created, it needs -c to input its own model parameters once when it is first called, and -c then save these values for future use. -c -c Calling sequence in SurveySimulator.f (survey simulator driver) is: -c -c Loop (some condition): -c call GiMeObj(arg_list_1) -c Check model ended: -c set exit condition -c call Detos1(arg_list_2) -c Check detection and tracking: -c store results -c -c where arg_list_1 is -c (filena, seed, a, e, inc, node, peri, M, epoch, h, color, gb, ph, -c period, amp, comp, ierr) -c with: -c -c INPUT -c filena: name of containing description of model, read in by the -c model subroutine "modname" (CH) -c seed : Random number generator seed (I4) -c -c OUTPUT -c a : semimajor axis (R8) -c e : eccentricity (R8) -c inc : Inclination [rad] (R8) -c node : Longitude of node [rad] (R8) -c peri : Argument of perihelion [rad] (R8) -c M : Mean anomaly [rad] (R8) -c epoch : epoch of the orbital elements, in Julian Day (R8) -c h : absolute magnitude of object in band filter "x" (R8) -c color : array of colors "y-x", where the index of "y" is as -c described in detos1 (10*R8) -c color(1) : g-x -c color(2) : r-x -c color(3) : i-x -c color(4) : z-x -c color(5) : u-x -c color(6) : V-x -c color(7) : B-x -c color(8) : R-x -c color(9) : I-x -c gb : opposition surge factor, Bowell formalism (R8) -c ph : phase of lightcurve at epoch [rad] (R8) -c period: period of lightcurve [day] (R8) -c amp : amplitude of lightcurve [mag] (R8) -c commen: user specified string containing whatever the user wants (CH*100) -c nchar : number of characters in the comment string that should be -c printed out in output files if the object is detected; -c maximum of 100 (I4) -c ierr : return code -c 0 : nominal run, things are good -c 100 : end of model, exit after checking this object -c -10 : could not get all orbital elements, skip object -c -20 : something went grossly wrong, should quit -c -c The model subroutines can access files using logical unit numbers from -c 20 to 25. This range in reseved for them and won't be used by the -c drivers nor SurveySubs routines. -c -c It is good practice that when first started, the GiMeObj routine -c writes a file describing the model used, the version and the date of -c the routine. -c -c Since this routine is called once for every object created, it needs -c to get all the required parameters once when it is called the first -c time, then save these values for future use. -c -c The following routine gives a working example of a model routine. It -c is probably worth reading it through carefully the first time. -c -c The survey simulator expects orbital elements with respect to ecliptic -c reference frame since it is in that frame that orbits are propogated -c for observability. You may, however, want to generate orbits with respect -c to a different reference plane and convert at the end just before passing -c the orbit back. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c File generated on 2017-09-01 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c Authors: J-M. Petit (Observatoire de Besancon, France) -C B. Gladman (University of British Columbia, Canada) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* - - subroutine GiMeObj (filena, seed, a, e, inc, node, peri, M, - $ epoch, h, color, gb, ph, period, amp, commen, nchar, ierr) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c This routine generates an object from a model generated by a paramtric -c algorithm. -C Note it is ALWAYS called GiMeObj regardless of the model, but the -C routine's input file 'filena' (passed in from the Driver) will usually -C have the specific name. In this example, filena is InnerHot.in -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c INPUT -c filena: name of file containing parameters for this model (CH) -c seed : Random number generator seed (I4) -c -c OUTPUT -c The survey simulator expects BARYCENTRIC J2000 orbital elements with -C respect to the ecliptic reference frame. -c a : semimajor axis (barycentric ecliptic J2000) (R8) -c e : eccentricity (R8) -c inc : Inclination with respect to J2000 ecliptic [rad] (R8) -c node : Longitude of ascending node [rad] (R8) -c peri : Argument of perihelion [rad] (R8) -c M : Mean anomaly [rad] (R8) -c epoch : epoch for M (and rotational phase below), in Julian Day (R8) -c h : Absolute magnitude of object in 'x' band (R8) Often x = r. -c color : Array of colors (10*R8), "y-x", where the index "y" is: -c colors(1) : g-x -c colors(2) : r-x will be zero if x band is r. -c colors(3) : i-x -c colors(4) : z-x -c colors(5) : u-x -c colors(6) : V-x -c colors(7) : B-x -c colors(8) : R-x -c colors(9) : I-x -c gb : opposition surge factor G, Bowell formalism (R8) -c ph : phase of lightcurve at epoch [rad] (R8) -c period: period of lightcurve [day] (R8) CANNOT BE ZERO -c amp : peak-to-peak amplitude of lightcurve [mag] (R8) CAN BE ZERO -c commen: user specified string containing whatever the user wants (CH*100) -c nchar : number of characters in the comment string that should be -c printed out in output files if the object is detected; -c maximum of 100 (I4) -c ierr : return code (I4) -c 0 : nominal run, things are good -c 100 : end of model, exit after checking this object -c -10 : could not get all orbital elements, skip object -c -20 : something went grossly wrong, should quit -c -c The user can fill the 100-character 'commen' string any way they -c wish; this comment string will be printed in the driver on the output -c line of each detection. Examples of the comment might be resonance name -c and libration amplitude, or the name of a component in the GiMeObj model -c that the object responds to. The nchar variable (passed back to Driver) -c allows the user to print only the first nchar characters of this string. -c -c This routine uses logical unit 20 to access the file containing the model. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c Set of F2PY directive to create a Python module -c -Cf2py intent(in) filena -Cf2py intent(in,out) seed -Cf2py intent(out) a -Cf2py intent(out) e -Cf2py intent(out) inc -Cf2py intent(out) node -Cf2py intent(out) peri -Cf2py intent(out) M -Cf2py intent(out) epoch -Cf2py intent(out) h -Cf2py intent(out) color -Cf2py intent(out) gb -Cf2py intent(out) ph -Cf2py intent(out) period -Cf2py intent(out) amp -Cf2py intent(out) commen -Cf2py intent(out) nchar -Cf2py intent(out) ierr - - implicit none - -c Calling arguments - integer*4 ierr, seed, nchar - real*8 a, e, inc, node, peri, M, epoch, h, color(10), gb, ph, - $ period, amp - character filena*(*), commen*100 - -c Some values better set up as parameters - integer*4 - $ lun_m, ! Logical unit number, model description file - $ lun_ll ! Logical unit number, logging - real*8 - $ Pi, ! Pi - $ TwoPi, ! 2*Pi - $ drad ! Degree to radian convertion: Pi/180 -c Set the values - parameter - $ (Pi = 3.141592653589793238d0, TwoPi = 2.0d0*Pi, - $ drad = Pi/180.0d0, lun_m = 20, lun_ll = 21) - -c Internal storage - character - $ date*8, ! Date of execution - $ time*10, ! Time of execution - $ zone*5 ! Time zone - integer*4 - $ values(8), ! Values of date and time - $ flag, ! Tell invar_ecl_osc which direction to go - $ i, ! Dummy index - $ nparam ! Number of parameters for the function called - ! by routine incdism - real*8 - $ inamax, ! Lower "a" bound of inner belt - $ inamin, ! Larger "a" bound of inner belt - $ inimin, ! Lower limit of secular instability zone - $ inimax, ! Upper limit of secular instability zone - $ incmin, ! Lower limit of inclination distribution - $ incmax, ! Upper limit of inclination distribution - $ brown_params(5), ! Parameters for the inclination distribution - $ onecomp, ! Returns probability of given inclination - $ h_params(6), ! Parameters for the H distribution - $ size_dist_one, ! Returns H according to exponential distrib - $ q, ! Perihelion distance - $ qmin, ! Lower limit of q distribution - $ qmax, ! Upper limit of q distribution - $ param(10), ! Temporary storage for distribution parameters - $ epoch_m, ! Epoch of elements [JD] - $ random, ! Random number - $ ran3, ! Random number generator - $ r, ! Distance of object to Sun - $ x, ! X cartesian coordinate of object - $ y, ! Y cartesian coordinate of object - $ z, ! Z cartesian coordinate of object - $ color0(10) ! Color parameters of model - logical - $ first, ! Tells if first call to routine - $ log ! True if we want to log data - -c Lightcurve and opposition surge effect parameters - real*8 - $ gb0, ph0, period0, amp0 - -c Ran3, size_dist_one, onecomp and qhot are functions defined outside -c this routine. - external ran3, size_dist_one, onecomp - -c Sets initial values - data - $ first /.true./, ! First call - $ gb0 /-0.12d0/, ! Opposition surge effect -C BG: DOCUMENT HERE STRANGE VALUE OF BOWELL G? REFER TO README.notes - $ ph0 / 0.00d0/, ! Initial phase of lightcurve - $ period0 / 0.60d0/, ! Period of lightcurve (days) - $ amp0 / 0.00d0/, ! Amplitude of lightcurve (peak-to-peak) - $ epoch_m /2453157.5d0/ ! Time at which M is defined - -c Make sure variables are retained from call to call - save - -c This is the first call - if (first) then -c Define the region of the inner belt. Hard coded rather than read. - inamin = 37.d0 ! lowest value of a (AU) - inamax = 39.d0 ! largest value of a - qmin = 34.d0 - qmax = 39.d0 - incmin = 0.d0 *drad - incmax = 180.d0*drad - inimin = 7.d0 *drad ! This cuts out 7-20 deg inclinations (nu 8) - inimax = 20.d0 *drad - -c Read in model parameters, from filename passed in from Driver - open (unit=lun_m, file=filena, status='old', err=1000) - read (lun_m, *) (h_params(i),i=1,3) ! Size distribution parameters - read (lun_m, *) (brown_params(i),i=1,1) ! Read i distribution width - brown_params(1) = brown_params(1)*drad ! convert to radians - read (lun_m, *) (color0(i),i=1,10) ! read color array - read (lun_m, *) log ! logical variable, turn on drawing log - close (lun_m) - -c Record model used, so a record of what was done is in output area - open (unit=lun_ll, file='ModelUsed.dat', access='sequential', - $ status='unknown') - write (lun_ll, '(a)') - $ '# Inner belt toy, hot only, 2013-06-30' - call date_and_time(date, time, zone, values) - write (lun_ll, '(a17,a23,2x,a5)') '# Creation time: ', - $ date(1:4)//'-'//date(5:6)//'-'//date(7:8)//'T' - $ //time(1:2)//':'//time(3:4)//':'//time(5:10), zone - write (lun_ll, '(''#'')') - write (lun_ll, '(a,3(1x,f6.2))') - $ '# H limits and slope for hot:', (h_params(i),i=1,3) - write (lun_ll, '(a,1(1x,f6.2),a)') - $ '# Width of hot: ', - $ (brown_params(i)/drad,i=1,1) - write (lun_ll, '(''#'')') - close (lun_ll) -c Change "first" so this is not called anymore - first = .false. - end if - -c ----------------- Specify the orbital elements --------------------- - 1100 continue -c Determination of "a" distribution, uniform from a_min to a_max - random=ran3(seed) - a = inamin + (inamax-inamin)*random - -c Determination of simple "q" distribution. This is NOT a good algorithm. - 1110 continue - random=ran3(seed) - q = qmin + (qmax-qmin)*random - if (q .gt. a) goto 1100 ! q can't exceed a. Redraw another a if so - e = 1.d0 - q/a - -c Determination of "i" distribution. Width was read as brown_params(1) - param(1) = brown_params(1) - nparam = 1 - 1200 continue -c This utitily returns, when there is one parameter, an i drawn from -c a sin(i)*gaussian inclination distribution. -c The 7 below is a unique code assigned to this distribution for speed. - call incdism (seed, nparam, param, incmin, incmax, inc, - $ 7, ierr, onecomp) -c Rejects if inclination in the nu8 secular instability zone - if ( (inc .gt. inimin) .and. (inc .lt. inimax) ) goto 1200 - -c This is the hot component. This is an example of using the optional -c character strings to log information about the detected objects. -c More useful for resonances, where libration amplitude and mode could -c be logged, for example. Note this 7 and the one above are unrelated. - commen = 'h inner' - nchar = 7 - -c Angles: uniform distribution on allowable values - random=ran3(seed) - node = random*TwoPi - random=ran3(seed) - peri = random*TwoPi - random=ran3(seed) - m = random*TwoPi - -c Set up epoch for orbial elements. This should JD for which M is . -C specified, but this in this example this is arbitrary. - epoch = epoch_m -C BG epoch_m is never set!??? -c ---------------------orbital elements are specified ------------- -c -c H-mag distribution: exponential law, using parameters passed in. -C In this example the paramaters are: h_min, h_max, slope alpha -c Note that the band h is expressed in is the x band for the color array -c When detections are recorded, the h_x and appararent mag in x band -c will be logged (by the driver program). - h = size_dist_one(seed, h_params) - -c Define values for lightcurve and opposition surge effect - gb = gb0 - ph = ph0 - period = period0 - amp = amp0 - -c Get colors for object; these were read from the input file, but -c could be generated here by some algorithm -c BG EXPLAIN MORE ABOUT COLORS. Why not just set them as they are read in??? - do i = 1, 10 - color(i) = color0(i) - end do - -c Store object if user requested logging. -c This is often done if one wants to generate a large number (say 10,000) -C 'draws' from this parametric model just to see what the user-generated -C distribution looks like. -c One would normally explicitly open a file and write to its end, but -c the pointer to the file is not retained between calls, so simply use -c the default file assigned to the logical c unit. In this case, the -C output file will be something like "fort.11" - if (log) then - call pos_cart(a,e,inc,node,peri,M,x,y,z) - r = sqrt(x*x + y*y + z*z) - open (unit=lun_ll, file='ModelUsed.dat', access='append', - $ status='old') - write(lun_ll,101) a,e,inc/drad,node/drad,peri/drad,M/drad,h,r, - $ commen(1:nchar) - close (lun_ll) -c BG Change to comment instead of compo - 101 format(6(f8.4,1x),f6.2,1x,f8.4,1x,a) -C BG: WEIRD to use a1 format here - end if - -c Prepare return code - ierr = 0 - - return - - 1000 continue -c If we get here, there is something really wrong, better return with -c panic code. - ierr = -20 - return - - end - - include 'ModelUtils.f' diff --git a/fortran/F77/Makefile b/fortran/F77/Makefile deleted file mode 100644 index f706b6d..0000000 --- a/fortran/F77/Makefile +++ /dev/null @@ -1,51 +0,0 @@ -# CFEPS Survey Simulator Makefile -# -### also works with ifort and f77 -FC = gfortran - -TOPTARGETS := all clean test -GIMEOBJ ?= InnerHotModel - -.PHONY: $(TOPTARGETS) - -all: Driver - -test: - $(MAKE) -s -C ../tests test LANGUAGE=F77 - -%.o : %.f - $(FC) $(FFLAGS) -c $< - -.PHONY: link - -link: - \rm -f GiMeObj.f - \rm -f GiMeObj.o - ln -s $(GIMEOBJ).f GiMeObj.f - -Driver: link Driver.f SurveySubs.f GiMeObj.f Makefile - $(FC) -O3 GiMeObj.f SurveySubs.f Driver.f -o Driver - -.PHONY: clean - -clean: - \rm -f *.o *.so core Driver *.log LOG GiMeObj.f - -# Python Module parts - -Modules: SurveySubs.so ModelUtils.so GiMeObj.so Makefile - echo "Modules have been built" - -SurveySubs.so: SurveySubs.f Makefile - f2py -c --f77exec=$(FC) --f77flags=-fPIC --f90flags=-fPIC -m SurveySubs SurveySubs.f 1>f2py_SurveySubs.log 2>&1 - mv SurveySubs.*.so SurveySubs.so - -ModelUtils.so: ModelUtils.f SurveySubs.so Makefile - f2py -c --f77exec=$(FC) --f77flags=-fPIC --f90flags=-fPIC -m ModelUtils SurveySubs.so ModelUtils.f 1>f2py_ModelUtils.log 2>&1 - mv ModelUtils.*.so ModelUtils.so - -GiMeObj.so: link $(GIMEOBJ).f SurveySubs.so Makefile - f2py -c --f77exec=$(FC) --f77flags=-fPIC -m GiMeObj SurveySubs.so GiMeObj.f 1>f2py_GiMeObj.log 2>&1 - \rm GiMeObj.f - mv GiMeObj.*.so GiMeObj.so - diff --git a/fortran/F77/ModelUtils.f b/fortran/F77/ModelUtils.f deleted file mode 100644 index 898ed04..0000000 --- a/fortran/F77/ModelUtils.f +++ /dev/null @@ -1,1735 +0,0 @@ - subroutine psalun (i, x) -c******************************************************************** -c -c This subroutine computes a "random" number using the recurrence -c formala: -c i(k+1) = i(k) * 367379597 + 1 mod(2**31). -c -c x is a double precision real "random" number between 0 (inclusive) -c and 1 (exclusive). x = i/2.**31 -c -c Upon first call to psalun, one must give an initial value to i -c (a seed) and then never change i (updated by the subroutine). -c -c******************************************************************** - integer*4 - 1 i, k, mask - - real*8 - 1 x - - parameter - 1 (k = 367379597) - - data - 1 mask /z'7fffffff'/ - - i = i*k + 1 - i = iand(i,mask) - x = dfloat(i)/2147483648.d0 - - return - end - - subroutine incdis (seed, nparam, param, incmin, incmax, inc, - $ ierr, func) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine draws randomly an inclination according to probability -c density \verb|func| with parameters \verb|param|. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : October 2006 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c seed : Random number generator seed (I4) -c nparam: Number of parameters (I4) -c param : Parameters (n*R8) -c incmin: Minimum inclination (R8) -c incmax: Maximum inclination (R8) -c func : probability density function -c -c OUTPUT -c inc : Inclination (R8) -c ierr : Error code -c 0 : nominal run -c 10 : wrong input data -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in,out) seed -Cf2py intent(in) nparam -Cf2py intent(in), depend(nparam) :: param -Cf2py intent(in) incmin -Cf2py intent(in) incmax -Cf2py intent(out) inc -Cf2py intent(out) ierr - - implicit none - - integer - $ np - - parameter - $ (np = 10000) - - integer - $ ierr, seed, nparam, i - - real*8 - $ param(*), inc, proba(0:np), inctab(0:np), random, func, - $ incmin, incmax, ran_3, interp - - logical - $ first - - external - $ func, ran_3, interp - - save proba, inctab, first - - data first /.true./ - - ierr = 0 - if (first) then - inctab(0) = incmin - proba(0) = 0.d0 - do i = 1, np - inctab(i) = incmin + dfloat(i)*(incmax-incmin)/dfloat(np) - proba(i) = func(nparam, param, inctab(i)) + proba(i-1) - end do - do i = 1, np - proba(i) = proba(i)/proba(np) - end do - first = .false. - end if - - random = ran_3(seed) - inc = interp(proba, inctab, random, np+1) - - return - end - - subroutine incdism (seed, nparam, param, incmin, incmax, inc, - $ dist, ierr, func) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine draws randomly a variable according to probability -c density \verb|func| with parameters \verb|param|. Same as previous -c routine, but can remember up to 10 different distributions at a time. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : October 2006 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c seed : Random number generator seed (I4) -c nparam: Number of parameters (I4) -c param : Parameters (n*R8) -c incmin: Minimum inclination (R8) -c incmax: Maximum inclination (R8) -c dist : index of the selected distribution (I4) -c func : probability density function -c -c OUTPUT -c inc : Inclination (R8) -c ierr : Error code -c 0 : nominal run -c 10 : wrong input data -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in,out) seed -Cf2py intent(in) nparam -Cf2py intent(in), depend(nparam) :: param -Cf2py intent(in) incmin -Cf2py intent(in) incmax -Cf2py intent(in) dist -Cf2py intent(out) inc -Cf2py intent(out) ierr - - implicit none - - integer - $ np, nd - - parameter - $ (np = 10000, nd = 10) - - integer - $ ierr, seed, nparam, i, dist, di - - real*8 - $ param(*), inc, proba(0:np,nd), inctab(0:np,nd), random, func, - $ incmin, incmax, ran_3, interp - - logical - $ first(nd) - - external - $ func, ran_3, interp - - save proba, inctab, first - - data first /.true.,.true.,.true.,.true.,.true., - $ .true.,.true.,.true.,.true.,.true./ - - ierr = 0 - di = min(nd, dist) - if (first(di)) then - inctab(0,di) = incmin - proba(0,di) = 0.d0 - do i = 1, np - inctab(i,di) = incmin + dfloat(i)*(incmax-incmin)/dfloat(np) - proba(i,di) = func(nparam, param, inctab(i,di)) - $ + proba(i-1,di) - end do - do i = 1, np - proba(i,di) = proba(i,di)/proba(np,di) - end do - first(di) = .false. - end if - - random = ran_3(seed) - inc = interp(proba(0,di), inctab(0,di), random, np+1) - - return - end - - real*8 function Variably_tapered(h, params) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine returns the number of objects brighter or equal to H -c following an exponentially tapered exponential with parameters in -c params. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : October 2021 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c seed : Random number generator seed (I4) -c params: parameters for the distribution (4*R8) -c -c OUTPUT -c Variably_tapered : Random value of H (R8) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) h -Cf2py intent(in) params - - implicit none - - real*8 params(4), h - - Variably_tapered = 10.d0**(params(3)*3.d0*(h-params(1))/5.d0) - $ *exp(-10.d0**(-params(4)*3.d0*(h-params(2))/5.d0)) - - return - end - - real*8 function H_dist_cold(seed, h_max) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine draws randomly a number according to the cold belt H_r -c distribution, represented by an exponentially tapered exponential, -c with parameters frmo the exponential cutoff paper. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : October 2021 -c Version 2 : December 2021- updated parameter values. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c seed : Random number generator seed (I4) -c h_max : Maximum value of H (R8) -c -c OUTPUT -c H_dist_cold : Random value of H (R8) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in,out) seed - - implicit none - - integer - $ np - - parameter - $ (np = 16384) - - integer - $ seed, nparam, i - - real*8 - $ params(4), proba(0:np), htab(0:np), random, - $ Variably_tapered, h_min, h_max, ran_3, interp - - logical - $ first - - external - $ Variably_tapered, ran_3, interp - - save proba, htab, first - - data first /.true./ - data params /-2.6d0, 8.1d0, 0.666d0, 0.42d0/ -c data params /-2.466d0, 7.895d0, 0.667d0, 0.438d0/ - data h_min /4.6d0/ - - if (first) then - htab(0) = h_min - proba(0) = 1.d-10 - do i = 1, np - htab(i) = h_min + dfloat(i)*(h_max-h_min)/dfloat(np) - proba(i) = Variably_tapered(htab(i), params) - end do - do i = 0, np - proba(i) = proba(i)/proba(np) - end do - first = .false. - end if - - random = ran_3(seed) - H_dist_cold = interp(proba, htab, random, np+1) - - return - end - - real*8 function H_dist_cold_2(seed, nparam, hparam) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine draws randomly a number according to the cold belt H_r -c distribution, represented by an exponentially tapered exponential, -c with parameters frmo the exponential cutoff paper. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : October 2021 -c Version 2 : December 2021 - updated parameter values. -c Version 3 : January 2022 - forcing slope at small sizes. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c seed : Random number generator seed (I4) -c nparam: Number of parameters (I4) -c hparam: Parameters for asymptotic slope(s) (n*R8) -c hparam(1): start of asymptote -c hparam(2): contrast at start of asymptote -c hparam(3): slope of asymptote -c hparam(4): end of asymptote -c -c OUTPUT -c H_dist_cold_2 : Random value of H (R8) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in,out) seed - implicit none - - integer - $ np - - parameter - $ (np = 16384) - - integer - $ seed, nparam, i - - real*8 - $ params(4), proba(0:np), htab(0:np), random, hparam(*), - $ Variably_tapered, h_min, h_max, ran_3, interp, n, c - - logical - $ first - - external - $ Variably_tapered, ran_3, interp - - save proba, htab, first - - data first /.true./ - data params /-2.6d0, 8.1d0, 0.666d0, 0.42d0/ -c data params /-2.466d0, 7.895d0, 0.667d0, 0.438d0/ - data h_min /4.6d0/ - - if (first) then - h_max = hparam(nparam) - htab(0) = h_min - proba(0) = 1.d-10 - n = Variably_tapered(hparam(1), params) - c = hparam(2) - do i = 1, np - htab(i) = h_min + dfloat(i)*(h_max-h_min)/dfloat(np) - if (htab(i) .lt. hparam(1)) then - proba(i) = Variably_tapered(htab(i), params) - else - proba(i) = n - $ + n*c*(10.0d0**(hparam(3)*(htab(i)-hparam(1))) - - $ 1.0d0) - end if - end do - do i = 0, np - proba(i) = proba(i)/proba(np) - end do - first = .false. - end if - - random = ran_3(seed) - H_dist_cold_2 = interp(proba, htab, random, np+1) - - return - end - - real*8 function H_dist_hot(seed, h_max) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine draws randomly a number according to the hot belt H_r -c distribution, represented by an exponentially tapered exponential, -c with parameters I've fitted on the OSSOS hot belt data, in range 6 -c -8.3. This is the actual maximu likelihood, not the MCMC value. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : October 2021 -c Version 2 : December 2021- updated parameter values. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c seed : Random number generator seed (I4) -c h_max : Maximum value of H (R8) -c -c OUTPUT -c H_dist_hot : Random value of H (R8) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in,out) seed - - implicit none - - integer - $ np - - parameter - $ (np = 16384) - - integer - $ seed, nparam, i - - real*8 - $ params(4), proba(0:np), htab(0:np), random, - $ Variably_tapered, h_min, h_max, ran_3, interp, n1, n2, n3, - $ sl1, sl2, sl3, c1, cb, c, h1, h2, h3 - - logical - $ first - - external - $ Variably_tapered, ran_3, interp - - save proba, htab, first - - data first /.true./ - data params /-2.465d0, 7.114d0, 0.666d0, 0.785d0/ - data h_min /-1.d0/ - data sl1 /0.13d0/, sl2 /0.6d0/, sl3 /0.4d0/, c /1.d0/ - data h1 /3.2d0/, h2 /6.d0/, h3 /8.5d0/, n1 /3.d0/ - - if (first) then - htab(0) = h_min - proba(0) = 1.d-10 - n2 = Variably_tapered(h2, params) - n3 = Variably_tapered(h3, params) -c The normalisation is done with the exponentially tapered exponential, -c as fitted on the OSSOS hot component. This determines the normalisation -c of the exponential between H = h2 and H = h1 -c N(= H_b -c and N( equatorial' - end if - call equat_ecl (-1, vel_b, vel_b, ierr) - if (ierr .ne. 0) then - write (6, *) 'Problem in conversion ecliptic -> equatorial' - end if - pos(1) = pos(1) - pos_b(1) - pos(2) = pos(2) - pos_b(2) - pos(3) = pos(3) - pos_b(3) - vel(1) = vel(1) - vel_b(1) - vel(2) = vel(2) - vel_b(2) - vel(3) = vel(3) - vel_b(3) - if (code .eq. 500) then - else - ierr = 10 - return - end if - -c Finally, computes distance from observatory to Sun. - r = dsqrt((pos(1) + pos_b(1))**2 + (pos(2) + pos_b(2))**2 - $ + (pos(3) + pos_b(3))**2) - end if - - end - - subroutine PlanetElem (ind, jday, a, e, inc, node, peri, capm, - $ ierr) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine gives the osculating elements in heliocentric reference -c frame of a planet at a given time. From given elements and rates. -c Valid roughly from 1900 to 2100 (Version 1). -c New version 2, valid from 1800 to 2050. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : February 2004 -c Version 2 : September 2019 -c Added Pluto (index 9) and used new orbital elements from -c JPL. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c ind : Planet index (I4) -c 1 : Mercury -c 2 : Venus -c 3 : Earth -c 4 : Mars -c 5 : Jupiter -c 6 : Saturn -c 7 : Uranus -c 8 : Neptune -c 9 : Pluto -c jday : Time of elements (Julian day) (R8) -c -c OUTPUT -c a : Semi-major axis (R8) -c e : Eccentricity (R8) -c inc : Inclination (R8) -c node : Longitude of node (R8) -c peri : Argument of perihelion (R8) -c capm : Mean anomaly (R8) -c ierr : Error code (I4) -c 0 : nominal run -c 10 : Unknown planet index -c 20 : jday out of range -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) ind -Cf2py intent(in) jday -Cf2py intent(out) a -Cf2py intent(out) e -Cf2py intent(out) inc -Cf2py intent(out) node -Cf2py intent(out) peri -Cf2py intent(out) capm -Cf2py intent(out) ierr - - implicit none - - real*8 - $ jday, a, e, inc, node, peri, capm, Pi, TwoPi, jday_min, - $ jday_max, drad - - integer*4 - $ ind, ierr, n_planets - - parameter - $ (Pi = 3.141592653589793238d0, TwoPi = 2.d0*Pi, drad = Pi/180.d0, - $ jday_min = 2378496.5d0, jday_max = 2470171.5d0, n_planets = 9) - - real*8 - $ a_p(n_planets), e_p(n_planets), i_p(n_planets), - $ node_p(n_planets), peri_p(n_planets), capl_p(n_planets), - $ da_p(n_planets), de_p(n_planets), di_p(n_planets), - $ dnode_p(n_planets), dperi_p(n_planets), dcapl_p(n_planets), - $ jday_p, dt - -c Elements are given in heliocentric reference frame. - data -c Reference time is time of elements, 2451545.0 = 2000-01-01.5 - $ jday_p /2451545.0d0/, -c Semi-major axis (au) - $ a_p / 0.38709927d0, 0.72333566d0, 1.00000261d0, 1.52371034d0, - $ 5.20288700d0, 9.53667594d0, 19.18916464d0, 30.06992276d0, - $ 39.48211675d0/, -c Eccentricity - $ e_p / 0.20563593d0, 0.00677672d0, 0.01671123d0, 0.09339410d0, - $ 0.04838624d0, 0.05386179d0, 0.04725744d0, 0.00859048d0, - $ 0.24882730d0/, -c Ecliptic inclination (deg) - $ i_p / 7.00497902d0, 3.39467605d0, -0.00001531d0, 1.84969142d0, - $ 1.30439695d0, 2.48599187d0, 0.77263783d0, 1.77004347d0, - $ 17.14001206d0/, -c Longitude of node (deg) - $ node_p / 48.33076593d0, 76.67984255d0, 0.0d0, 49.55953891d0, - $ 100.47390909d0, 113.66242448d0, 74.01692503d0, 131.78422574d0, - $ 110.30393684d0/, -c Longitude of pericenter (deg) - $ peri_p / 77.45779628d0, 131.60246718d0, 102.93768193d0, - $ -23.94362959d0, 14.72847983d0, 92.59887831d0, 170.95427630d0, - $ 44.96476227d0, 224.06891629d0/, -c Mean longitude (deg) - $ capl_p / 252.25032350d0, 181.97909950d0, 100.46457166d0, - $ -4.55343205d0, 34.39644051d0, 49.95424423d0, 313.23810451d0, - $ -55.12002969d0, 238.92903833d0/, -c Rate is in au per century - $ da_p / 0.00000037d0, 0.00000390d0, 0.00000562d0, 0.00001847d0, - $ -0.00011607d0, -0.00125060d0, -0.00196176d0, 0.00026291d0, - $ -0.00031596d0/, -c Rate is in 1 per century - $ de_p / 0.00001906d0, -0.00004107d0, -0.00004392d0, 0.00007882d0, - $ -0.00013253d0, -0.00050991d0, -0.00004397d0, 0.00005105d0, - $ 0.00005170d0/, -c Rates below are given in degrees per century - $ di_p / -0.00594749d0, -0.00078890d0, -0.01294668d0, - $ -0.00813131d0, -0.00183714d0, 0.00193609d0, -0.00242939d0, - $ 0.00035372d0, 0.00004818d0/, - $ dnode_p / -0.12534081d0, -0.27769418d0, 0.0d0, -0.29257343d0, - $ 0.20469106d0, -0.28867794d0, 0.04240589d0, -0.00508664d0, - $ -0.01183482d0/, - $ dperi_p / 0.16047689d0, 0.00268329d0, 0.32327364d0, - $ 0.44441088d0, 0.21252668d0, -0.41897216d0, 0.40805281d0, - $ -0.32241464d0, -0.04062942d0/, - $ dcapl_p / 149472.67411175d0, 58517.81538729d0, 35999.37244981d0, - $ 19140.30268499d0, 3034.74612775d0, 1222.49362201d0, - $ 428.48202785d0, 218.45945325d0, 145.20780515d0/ - - ierr = 0 - -c Wrong planet index. - if ((ind .lt. 1) .or. (ind .gt. n_planets)) then - ierr = 10 - return - end if - -c Jday out of range. - if ((jday .lt. jday_min) .or. (jday .gt. jday_max)) then - ierr = 20 - return - end if - -c Ok, do the math. -c Rates are given in degrees per century, and angles in degrees. Also we -C have all longitudes, when we need arguments. So tranform in arguments -C and radians. - dt = (jday - jday_p)/36525.d0 - a = a_p(ind) + dt*da_p(ind) - e = e_p(ind) + dt*de_p(ind) - inc = (i_p(ind) + dt*di_p(ind))*drad - node = (node_p(ind) + dt*dnode_p(ind))*drad - -c Longitude of pericenter - peri = (peri_p(ind) + dt*dperi_p(ind))*drad - -c Mean longitude. Change to mean anomaly - capm = (capl_p(ind) + dt*dcapl_p(ind))*drad - peri - -c Now get argument of pericenter - peri = peri - node - - return - - end - - subroutine PlanetXV (ind, jday, pos, vel, ierr) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine gives the position and velocity in ecliptic heliocentric -c reference frame of a planet at a given time. Uses PlanetElem. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : February 2004 -c Version 2 : January 2019 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c ind : Planet index (I4) -c 1 : Mercury -c 2 : Venus -c 3 : Earth -c 4 : Mars -c 5 : Jupiter -c 6 : Saturn -c 7 : Uranus -c 8 : Neptune -c 9 : Pluto -c jday : Time of elements (Julian day) (R8) -c -c OUTPUT -c pos : Position vector (3*R8) -c vel : Velocity vector (3*R8) -c ierr : Error code (I4) -c 0 : nominal run -c 10 : Unknown planet index -c 20 : jday out of range -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) ind -Cf2py intent(in) jday -Cf2py intent(out) pos -Cf2py intent(out) vel -Cf2py intent(out) ierr - - implicit none - - real*8 - $ jday, pos(3), vel(3), Pi, TwoPi, jday_min, - $ jday_max, drad, mu - - integer*4 - $ ind, ierr, n_planets, istat - - parameter - $ (Pi = 3.141592653589793238d0, TwoPi = 2.d0*Pi, drad = Pi/180.d0, - $ jday_min = 2415020.0d0, jday_max = 2488070.0d0, n_planets = 9, - $ mu = TwoPi**2) - - real*8 - $ a, e, inc, node, peri, capm, masses(n_planets), gm - - data masses /6023600.0d0, ! Mercury - $ 408523.71d0, ! Venus - $ 328900.56d0, ! Earth + Moon - $ 3098708.0d0, ! Mars - $ 1047.3486d0, ! Jupiter - $ 3497.898d0, ! Saturn - $ 22902.98d0, ! Uranus - $ 19412.24d0, ! Neptune - $ 1.35d8/ ! Pluto - - ierr = 0 - -c Wrong planet index. - if ((ind .lt. 1) .or. (ind .gt. n_planets)) then - ierr = 10 - return - end if - -c Jday out of range. - if ((jday .lt. jday_min) .or. (jday .gt. jday_max)) then - ierr = 20 - return - end if - -c Ok, do the math. - call PlanetElem (ind, jday, a, e, inc, node, peri, capm, istat) - if (istat .ne. 0) then - ierr = istat - return - end if - gm = mu*(1.d0 + 1.d0/masses(ind)) - call coord_cart (gm, a, e, inc, node, peri, capm, pos(1), pos(2), - $ pos(3), vel(1), vel(2), vel(3)) - - return - - end - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine gives the cartesian coordinates of the Earth at a given -c time in a heliocentric, equatorial coordinate system. This is a self -c -contained subroutine. One can also use a progamme that reads the -c JPL ephemerides DE405 (see ss_state.f program). -c -c Tested at different times, clearly gives equatorial coordinates. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- - - subroutine newcomb (DJ,ROUT) -Cf2py intent(in) dj -Cf2py intent(out) rout - - IMPLICIT DOUBLE PRECISION (A-H,O-Z) - double precision - $ Z(8,121),Z0(80),Z1(80),Z2(80),Z3(80),Z4(80),Z5(80),Z6(80), - $ Z7(80),Z8(80),Z9(80),ZA(80),ZB(80),ZC(8),ROU(3),CC(3,3), - $ EL(21),C(5),RIN(3),X(3),Y(3),W(3),ROUT(3) - integer i, k - - EQUIVALENCE(Z(1, 1),Z0(1)) - EQUIVALENCE(Z(1, 11),Z1(1)) - EQUIVALENCE(Z(1, 21),Z2(1)) - EQUIVALENCE(Z(1, 31),Z3(1)) - EQUIVALENCE(Z(1, 41),Z4(1)) - EQUIVALENCE(Z(1, 51),Z5(1)) - EQUIVALENCE(Z(1, 61),Z6(1)) - EQUIVALENCE(Z(1, 71),Z7(1)) - EQUIVALENCE(Z(1, 81),Z8(1)) - EQUIVALENCE(Z(1, 91),Z9(1)) - EQUIVALENCE(Z(1,101),ZA(1)) - EQUIVALENCE(Z(1,111),ZB(1)) - EQUIVALENCE(Z(1,121),ZC(1)) - DATA TWOPI/6.283185307179586D0/ - DATA STR/206264806.2470964D0/ - DATA RTD/57.29577951308232D0/ - DATA OBL0,C1,C2,C3/23.4522944D0,.1301250D-1,.163889D-5,.50278D-6/ - DATA TFIN/2433282.5D0/ - DATA Z0/ - 1., 1., - 6.,- 11., 26.,- 12., 0., 0., - 1 - 1., 2., - 3.,- 3., - 4., 5., 0., 0., - 2 - 1., 3., 15.,- 1., - 1.,- 18., 0., 0., - 3 - 1., 4., 19.,- 13., - 2.,- 4., 0., 0., - 4 - 1., 0., 33.,- 67., - 85.,- 39., 24.,- 17., - 5 - 1., 1., 2350.,-4223., -2059.,-1145., - 4., 3., - 6 - 1., 2., - 65.,- 34., 68.,- 14., 6.,- 92., - 7 - 1., 3., - 3.,- 8., 14.,- 8., 1., 7., - 8 - 2., 0., - 3., 1., 0., 4., 0., 0., - 9 - 2., 1., - 99., 60., 84., 136., 23.,- 3./ - DATA Z1/ - 2., 2., -4696., 2899., 3588., 5815., 10.,- 6., - 1 - 2., 3., 1793.,-1735., - 595.,- 631., 37.,- 56., - 2 - 2., 4., 30.,- 33., 40., 33., 5.,- 13., - 3 - 3., 2., - 13., 1., 0., 21., 13., 5., - 4 - 3., 3., - 665., 27., 44., 1043., 8., 1., - 5 - 3., 4., 1506.,- 396., - 381.,-1446., 185.,- 100., - 6 - 3., 5., 762.,- 683., 126., 148., 6.,- 3., - 7 - 3., 6., 12.,- 12., 14., 13., - 2., 4., - 8 - 4., 3., - 3.,- 1., 0., 6., 4., 5., - 9 - 4., 4., - 188.,- 93., - 166., 337., 0., 0./ - DATA Z2/ - 4., 5., - 139.,- 38., - 51., 189., - 31.,- 1., - 1 - 4., 6., 146.,- 42., - 25.,- 91., 12., 0., - 2 - 4., 7., 5.,- 4., 3., 5., 0., 0., - 3 - 5., 5., - 47.,- 69., - 134., 93., 0., 0., - 4 - 5., 6., - 28.,- 25., - 39., 43., - 8.,- 4., - 5 - 5., 7., - 119.,- 33., - 37., 136., - 18.,- 6., - 6 - 5., 8., 154.,- 1., 0.,- 26., 0., 0., - 7 - 6., 5., 0., 0., 0., 0., - 2., 6., - 8 - 6., 6., - 4.,- 38., - 80., 8., 0., 0., - 9 - 6., 7., - 4.,- 13., - 24., 7., - 2.,- 3./ - DATA Z3/ - 6., 8., - 6.,- 7., - 10., 10., - 2.,- 3., - 1 - 6., 9., 14., 3., 3.,- 12., 0., 0., - 2 - 7., 7., 8.,- 18., - 38.,- 17., 0., 0., - 3 - 7., 8., 1.,- 6., - 12.,- 3., 0., 0., - 4 - 7., 9., 1.,- 3., - 4., 1., 0., 0., - 5 - 7., 10., 0., 0., - 3., 3., 0., 0., - 6 - 8., 8., 9.,- 7., - 14.,- 19., 0., 0., - 7 - 8., 9., 0., 0., - 5.,- 4., 0., 0., - 8 - 8., 12., - 8.,- 41., - 43., 8., - 5.,- 9., - 9 - 8., 13., 0., 0., - 9.,- 8., 0., 0./ - DATA Z4/ - 8., 14., 21., 24., - 25., 22., 0., 0., - 1 - 9., 9., 6.,- 1., - 2.,- 13., 0., 0., - 2 - 9., 10., 0., 0., - 1.,- 4., 0., 0., - 3 -10., 10., 3., 1., 3.,- 7., 0., 0., - 4 1.,- 2., - 5.,- 4., - 5., 6., 0., 0., - 5 1.,- 1., - 216.,- 167., - 92., 119., 0., 0., - 6 1., 0., - 8.,- 47., 27.,- 6., 0., 0., - 7 2.,- 3., 40.,- 10., - 13.,- 50., 0., 0., - 8 2.,- 2., 1960.,- 566., - 572.,-1973., 0.,- 8., - 9 2.,- 1., -1656.,- 616., 64.,- 137., 0., 0./ - DATA Z5/ 2., 0., - 24., 15., - 18.,- 25., - 8., 2., - 1 3.,- 4., 1.,- 4., - 6., 0., 0., 0., - 2 3.,- 3., 53.,- 118., - 154.,- 67., 0., 0., - 3 3.,- 2., 395.,- 153., - 77.,- 201., 0., 0., - 4 3.,- 1., 8., 1., 0., 6., 0., 0., - 5 4.,- 4., 11., 32., 46.,- 17., 0., 0., - 6 4.,- 3., - 131., 482., 460., 125., 7., 1., - 7 4.,- 2., 525.,- 256., 43., 96., 0., 0., - 8 4.,- 1., 7.,- 5., 6., 8., 0., 0., - 9 5.,- 5., - 7., 1., 0., 12., 0., 0./ - DATA Z6/ 5.,- 4., 49., 69., 87.,- 62., 0., 0., - 1 5.,- 3., - 38., 200., 87., 17., 0., 0., - 2 5.,- 2., 3., 1., - 1., 3., 0., 0., - 3 6.,- 6., 0., 0., - 4.,- 3., 0., 0., - 4 6.,- 5., - 20.,- 2., - 3., 30., 0., 0., - 5 6.,- 4., - 104.,- 113., - 102., 94., 0., 0., - 6 6.,- 3., - 11., 100., - 27.,- 4., 0., 0., - 7 7.,- 6., 3.,- 5., - 9.,- 5., 0., 0., - 8 7.,- 5., - 49., 3., 4., 60., 0., 0., - 9 7.,- 4., - 78.,- 72., - 26., 28., 0., 0./ - DATA Z7/ 8.,- 7., 1., 3., 5.,- 1., 0., 0., - 1 8.,- 6., 6.,- 8., - 12.,- 9., 0., 0., - 2 8.,- 5., 51.,- 10., - 8.,- 44., 0., 0., - 3 8.,- 4., - 17.,- 12., 5.,- 6., 0., 0., - 4 9.,- 7., 2., 3., 5.,- 3., 0., 0., - 5 9.,- 6., 13.,- 25., - 30.,- 16., 0., 0., - 6 9.,- 5., 60.,- 15., - 4.,- 17., 0., 0., - 7 10.,- 7., 2., 5., 7.,- 3., 0., 0., - 8 10.,- 6., - 7., 18., 14., 6., 0., 0., - 9 10.,- 5., 5.,- 2., 0., 0., 0., 0./ - DATA Z8/ 11.,- 7., 9., 15., 17.,- 10., 0., 0., - 1 11.,- 6., - 12., 42., 8., 3., 0., 0., - 2 12.,- 7., - 4.,- 5., - 4., 3., 0., 0., - 3 13.,- 8., - 13.,- 1., - 1., 15., 0., 0., - 4 13.,- 7., - 30.,- 33., - 4., 3., 0., 0., - 5 15.,- 9., 13.,- 16., - 17.,- 14., 0., 0., - 6 15.,- 8., 200.,- 30., - 1.,- 6., 0., 0., - 7 17.,-10., - 2.,- 4., - 4., 2., 0., 0., - 8 17.,- 9., - 10., 24., 0., 0., 0., 0., - 9 1.,- 3., - 3.,- 1., - 2., 5., 0., 0./ - DATA Z9/ 1.,- 2., - 155.,- 52., - 78., 193., 7., 0., - 1 1.,- 1., -7208., 59., 56., 7067., - 1., 17., - 2 1., 0., - 307.,-2582., 227.,- 89., 16., 0., - 3 1., 1., 8.,- 73., 79., 9., 1., 23., - 4 2.,- 3., 11., 68., 102.,- 17., 0., 0., - 5 2.,- 2., 136., 2728., 4021.,- 203., 0., 0., - 6 2.,- 1., - 537., 1518., 1376., 486., 13., 166., - 7 2., 0., - 22.,- 70., - 1.,- 8., 0., 0., - 8 3.,- 4., - 5., 2., 3., 8., 0., 0., - 9 3.,- 3., - 162., 27., 43., 278., 0., 0./ - DATA ZA/ 3.,- 2., 71., 551., 796.,- 104., 6.,- 1., - 1 3.,- 1., - 31., 208., 172., 26., 1., 18., - 2 4.,- 4., - 3.,- 16., - 29., 5., 0., 0., - 3 4.,- 3., - 43., 9., 13., 73., 0., 0., - 4 4.,- 2., 17., 78., 110.,- 24., 0., 0., - 5 4.,- 1., - 1., 23., 17., 1., 0., 0., - 6 5.,- 5., 0., 0., - 1.,- 3., 0., 0., - 7 5.,- 4., - 1.,- 5., - 10., 2., 0., 0., - 8 5.,- 3., - 7., 2., 3., 12., 0., 0., - 9 5.,- 2., 3., 9., 13.,- 4., 0., 0./ - DATA ZB/ 1.,- 2., - 3., 11., 15., 3., 0., 0., - 1 1.,- 1., - 77., 412., 422., 79., 1., 6., - 2 1., 0., - 3.,- 320., 8.,- 1., 0., 0., - 3 1., 1., 0.,- 8., 8., 0., - 1., 6., - 4 2.,- 3., 0., 0., - 3.,- 1., 0., 0., - 5 2.,- 2., 38.,- 101., - 152.,- 57., 0., 0., - 6 2.,- 1., 45.,- 103., - 103.,- 44., 17., - 29., - 7 2., 0., 2.,- 17., 0., 0., 0., 0., - 8 3.,- 2., 7.,- 20., - 30.,- 11., 0., 0., - 9 3.,- 1., 6.,- 16., - 16.,- 6., 0., 0./ - DATA ZC/ 4.,- 2., 1.,- 3., - 4.,- 1., 0., 0./ - - CC(1,1) = +0.9999257180268403D0 - CC(1,2) = -0.0111782838886141D0 - CC(1,3) = -0.0048584357372842D0 - CC(2,1) = +0.0111782838782385D0 - CC(2,2) = +0.9999375206641666D0 - CC(2,3) = -0.0000271576311202D0 - CC(3,1) = +0.0048584357611567D0 - CC(3,2) = -0.0000271533600777D0 - CC(3,3) = +0.9999881973626738D0 - - T = (DJ - 2415020.D0)/36525.D0 - TP = (DJ - 2396758.D0)/365.25D0 - T18= (DJ - 2378496.D0)/36525.D0 - V = (DJ - 2451545.D0)/36525.D0 - V2 = V*V - V3 = V*V2 - T50= (DJ - 2433282.423D0)/36525.D0 - EL( 2) = 0.16750401D-01 - T*(0.41879D-04 + 0.0503D-06*T) - EL( 5) = 0.4908229466868880D+01 + (0.3000526416797348D-01 - 1 +(0.7902463002085429D-05 + 0.5817764173314427D-07*T)*T)*T - 2 -(5.066D3 + 5.880D3*T + 0.476D3*T*T)/STR - EL( 9) = 0.4881627934111871D+01 + (0.6283319509909086D+03 - 1 + 0.5279620987282842D-05*T)*T - 2 +(0.33211D3 - 0.05299D3*T + 0.03959D3*T*T)/STR - EL(10) = 0.6256583580497099D+01 + (0.6283019457267408D+03 - 1 -(0.2617993877991491D-05 + 0.5817764173314427D-07*T)*T)*T - 2 +(5.358D3 + 5.747D3*T + 0.516D3*T*T)/STR - EL(14) = 0.5859485105530519D+01 + (0.8399709200339593D+04 - 1 +(0.4619304753611657D-04 + 0.6544984694978728D-07*T18) - 2 *T18)*T18 - EL(17) = 0.5807638839584459D+00 - (0.3375728238223387D+02 - 1 -(0.3964806284113784D-04 + 0.3470781143063166D-07*T18) - 2 *T18)*T18 - EL(21) = 0.3933938487925745D+01 + (0.7101833330913285D+02 - 1 -(0.1752456013106637D-03 - 0.1773109075921903D-06*T18) - 2 *T18)*T18 - EL(15) = EL(14) - EL(21) - EL(16) = EL(14) - EL(17) - D = EL(14) - EL(9) - ARG = D - DL = + 6466.D0*DSIN(ARG) + 13.D0*DSIN(3.*ARG) - DR = + 13384.D0*DCOS(ARG) + 30.D0*DCOS(3.*ARG) - DBLARG = D + EL(15) - ARG = DBLARG - DL = DL + 177.D0*DSIN(ARG) - DR = DR + 370.D0*DCOS(ARG) - DBLARG = D - EL(15) - ARG = DBLARG - DL = DL - 425.D0*DSIN(ARG) - DR = DR - 1332.D0*DCOS(ARG) - DBLARG = 3.D0*D - EL(15) - ARG = DBLARG - DL = DL + 39.D0*DSIN(ARG) - DR = DR + 80.D0*DCOS(ARG) - DBLARG = D + EL(10) - ARG = DBLARG - DL = DL - 64.D0*DSIN(ARG) - DR = DR - 140.D0*DCOS(ARG) - DBLARG = D - EL(10) - ARG = DBLARG - DL = DL + 172.D0*DSIN(ARG) - DR = DR + 360.D0*DCOS(ARG) - ARG = D - EL(10) - EL(15) - DL = DL - 13.D0*DSIN(ARG) - DR = DR - 30.D0*DCOS(ARG) - ARG = 2.D0*(EL(9)-EL(17)) - DL = DL - 13.D0*DSIN(ARG) - DR = DR + 30.D0*DCOS(ARG) - ARG = EL(16) - DB = + 577.D0*DSIN(ARG) - DBLARG = EL(16) + EL(15) - ARG = DBLARG - DB = DB + 16.D0*DSIN(ARG) - DBLARG = EL(16) - EL(15) - ARG = DBLARG - DB = DB - 47.D0*DSIN(ARG) - DBLARG = EL(16) - 2.D0*(EL(9) - EL(17)) - ARG = DBLARG - DB = DB + 21.D0*DSIN(ARG) - ARG = ARG - EL(15) - DB = DB + 5.D0*DSIN(ARG) - ARG = EL(10) + EL(16) - DB = DB + 5.D0*DSIN(ARG) - ARG = EL(10) - EL(16) - DB = DB + 5.D0*DSIN(ARG) - GME = 0.43296383D+01 + .2608784648D+02*TP - GV = 0.19984020D+01 + .1021322923D+02*TP - GMA = 0.19173489D+01 + .3340556174D+01*TP - GJ = 0.25836283D+01 + .5296346478D+00*TP - GS = 0.49692316D+01 + .2132432808D+00*TP - GJ = GJ + 0.579904067D-02 * DSIN(5.D0*GS - 2.D0*GJ + 1.1719644977 - 1 D0 - 0.397401726D-03 * TP) - DG = 266.*DSIN(.555015D0 + 2.076942D0*T) - 1 +6400.*DSIN(4.035027D0 + .3525565D0*T) - 2 +(1882.D0-16.*T)*DSIN(.9990265D0 + 2.622706D0*T) - EL(10) = DG/STR + EL(10) - EL(12) = DSIN( EL(10)) * (6909794. - (17274. + 21.*T)*T) - 1 + DSIN(2.D0*EL(10)) * ( 72334. - 362.*T) - 2 + DSIN(3.D0*EL(10)) * ( 1050. - 8.*T) - 3 + DSIN(4.D0*EL(10)) * 17. - RO = 30594. - 152.*T - 1 - DCOS( EL(10)) * (7273841. - (18182. + 22.*T)*T) - 2 - DCOS(2.D0*EL(10)) * ( 91374. - 457.*T) - 3 - DCOS(3.D0*EL(10)) * ( 1446. - 11.*T) - 4 - DCOS(4.D0*EL(10)) * 25. - EL(11) = 10.D0**(RO*1.D-09) - DO 10 K=1,4 - DBLARG = Z(1,K)*GME + Z(2,K)*EL(10) - ARG = DBLARG - CS = DCOS(ARG) - SS = DSIN(ARG) - DL =(Z(3,K)*CS + Z(4,K)*SS )+ DL - DR =(Z(5,K)*CS + Z(6,K)*SS )+ DR - 10 CONTINUE - DO 20 K=5,44 - DBLARG = Z(1,K)*GV + Z(2,K)*EL(10) - ARG = DBLARG - CS = DCOS(ARG) - SS = DSIN(ARG) - DL =(Z(3,K)*CS + Z(4,K)*SS )+ DL - DR =(Z(5,K)*CS + Z(6,K)*SS )+ DR - DB =(Z(7,K)*CS + Z(8,K)*SS )+ DB - 20 CONTINUE - DO 30 K=45,89 - DBLARG = Z(1,K)*GMA + Z(2,K)*EL(10) - ARG = DBLARG - CS = DCOS(ARG) - SS = DSIN(ARG) - DL =(Z(3,K)*CS + Z(4,K)*SS )+ DL - DR =(Z(5,K)*CS + Z(6,K)*SS )+ DR - DB =(Z(7,K)*CS + Z(8,K)*SS )+ DB - 30 CONTINUE - DO 40 K=90,110 - DBLARG = Z(1,K)*GJ + Z(2,K)*EL(10) - ARG = DBLARG - CS = DCOS(ARG) - SS = DSIN(ARG) - DL =(Z(3,K)*CS + Z(4,K)*SS )+ DL - DR =(Z(5,K)*CS + Z(6,K)*SS )+ DR - DB =(Z(7,K)*CS + Z(8,K)*SS) +DB - 40 CONTINUE - DO 50 K=111,121 - DBLARG = Z(1,K)*GS + Z(2,K)*EL(10) - ARG = DBLARG - CS = DCOS(ARG) - SS = DSIN(ARG) - DL =(Z(3,K)*CS + Z(4,K)*SS )+ DL - DR =(Z(5,K)*CS + Z(6,K)*SS )+ DR - DB =(Z(7,K)*CS + Z(8,K)*SS )+ DB - 50 CONTINUE - C(1) = EL(11)*10.D0**(DR*1.D-09) - C(4) = (DL + DG + EL(12))/STR + EL(9) - C(5) = DB/STR - C(2) = C(4)*RTD - C(3) = C(5)*RTD - BS = (-0.03903D3 + 0.03450D3*T - 0.00077D3*T*T)/STR - BC = (+0.03363D3 + 0.01058D3*T + 0.00286D3*T*T)/STR - BR = -0.01914D3/STR - C(5) = C(5) + BS*DSIN(C(4)) + BC*DCOS(C(4)) +BR*DSIN(C(4)-EL(17)) - RS = (+0.01015D3 + 0.00035D3*T + 0.00023D3*T*T)/STR - RC = (-0.02652D3 - 0.00002D3*T + 0.00054D3*T*T)/STR - C(1) = C(1) + RS*DSIN(EL(10)) - RC*DCOS(EL(10)) - T2 = T*T - T3 = T2*T - OBL = OBL0 - C1*T - C2*T2 + C3*T3 - OBL = OBL/RTD - RIN(1) = C(1)*DCOS(C(4))*DCOS(C(5)) - RIN(2) = C(1)*(DCOS(C(5))*DSIN(C(4))*DCOS(OBL)-DSIN(C(5)) - 1*DSIN(OBL)) - RIN(3) = C(1)*(DCOS(C(5))*DSIN(C(4))*DSIN(OBL)+DSIN(C(5)) - 1*DCOS(OBL)) - RDPSC=4.848136811D-06 - DPTTY=365242.2D0 - SDL=DJ - IF (DJ-TFIN .lt. 0.) goto 101 - IF (DJ-TFIN .eq. 0.) goto 101 - IF (DJ-TFIN .gt. 0.) goto 100 - 100 CONTINUE - SDL=TFIN - 101 CONTINUE - DT=(SDL-2415020.5D0)/DPTTY - DT2=DT**2 - DY=DABS(DJ-TFIN)/DPTTY - DY2=DY**2 - DY3=DY**3 - AK=((23042.53D0+139.73D0*DT+.06D0*DT2)*DY+(30.23D0-.27D0*DT)*DY2+1 - 18.00D0*DY3)*RDPSC - AW=((23042.53D0+139.73D0*DT+.06D0*DT2)*DY+(109.50D0+.39D0*DT)*DY2+ - 118.32D0*DY3)*RDPSC - BN=((20046.85D0-85.33D0*DT-.37D0*DT2)*DY+(-42.67D0-.37D0*DT)*DY2-4 - 11.80D0*DY3)*RDPSC - SINK=DSIN(AK) - COSK=DCOS(AK) - SINW=DSIN(AW) - COSW=DCOS(AW) - SINN=DSIN(BN) - COSN=DCOS(BN) - X(1) =-SINK*SINW +COSK*COSW*COSN - Y(1) =-COSK*SINW -SINK*COSW*COSN - W(1) =-COSW*SINN - X(2) =SINK*COSW +COSK*SINW*COSN - Y(2) =COSK*COSW -SINK*SINW*COSN - W(2) =-SINW*SINN - X(3) =COSK*SINN - Y(3) =-SINK*SINN - W(3) =COSN - ROU(1) = 0.D0 - ROU(2) = 0.D0 - ROU(3) = 0.D0 - IF (DJ-TFIN .lt. 0.) goto 1 - IF (DJ-TFIN .eq. 0.) goto 1 - IF (DJ-TFIN .gt. 0.) goto 2 - 1 CONTINUE - DO 11 I=1,3 - ROU(I)=X(I)*RIN(1) + Y(I)*RIN(2)+W(I)*RIN(3) - 11 CONTINUE - GO TO 3 - 2 CONTINUE - ROU(1)= X(1)*RIN(1) +X(2)*RIN(2) +X(3)*RIN(3) - ROU(2)= Y(1)*RIN(1) +Y(2)*RIN(2) +Y(3)*RIN(3) - ROU(3)= W(1)*RIN(1) +W(2)*RIN(2) +W(3)*RIN(3) - 3 CONTINUE - RIH = DSQRT(ROU(1)*ROU(1)+ROU(2)*ROU(2)+ROU(3)*ROU(3)) - RIG = DATAN2(ROU(2),ROU(1)) - DIG = DATAN2(ROU(3),DSQRT(ROU(1)*ROU(1)+ROU(2)*ROU(2))) - RIG = RIG + 0.0D3/STR - ROU(1) = RIH*DCOS(RIG)*DCOS(DIG) - ROU(2) = RIH*DSIN(RIG)*DCOS(DIG) - DO 4 I = 1,3 - ROUT(I) = CC(I,1)*ROU(1)+CC(I,2)*ROU(2)+CC(I,3)*ROU(3) - 4 CONTINUE - RETURN - END - - include 'ElemPosUtils.f' - include 'Rotation.f' diff --git a/fortran/F77/README.md b/fortran/F77/README.md deleted file mode 100644 index 3024632..0000000 --- a/fortran/F77/README.md +++ /dev/null @@ -1,198 +0,0 @@ - ----- -## The F77 version of the SurveySimulator - -### Requirements -- `gfortran` -- `make` - -### Directory Structure - -This directory contains the source code for a GiMeObj routine that generates -objects according to some parametric prescription of the outer Solar System -population being modeled, along with a Makefile to generate the executable -and an example subdirectory. - -- README.md : (this file) Describes "GiMeObj" routine -- InnerHotModel.f : Example "GiMeObj" routine to generate objects via parametric prescription of inner belt -- ReadModelFromFile.f Defines "GiMeObj" routine to read a model from an input file. -- _see README_surveysub.txt_ for descriptions of the other subroutines._ -- Makefile : Makefile to build the executable and link to the correct GeMeObj -- \example : Contains files to run an example and check validity of results - ---- - -### COMPILING - -#### Makefile - The simplest way to create the executable for the survey simulator is - to type the following command at the prompt, to build the InnerHotModel: - - make Driver GIMEOBJ=InnerHotModel - - Or to build the ReadModelFromFile version: - - make Driver GIMEOBJ=ReadModelFromFile - - Make will create an executable file called `Driver` but first link to `InnerHotModel.f` or `ReadModelFromFile.f` to `GiMeOb.f` - so that the `Driver` has the behaviour of the given model generator. - -#### Command line - One can compile the program directly because `Driver.f` uses the 'include' - statement to bring in the file `GiMeObj.f` containing the model definition, - one must first create a symbolic link pointing to the actual file `InnerHotModel.f`: - - ln -s InnerHotModel.f GiMeObj.f - gfortran -O3 -o SurveySimulator Driver.f - - or - - ln -s ReadModelFromFile.f GiMeObj.f - gfortran -O3 -o SurveySimulator Driver.f - - - -### RUNNING - - The driver program provided with this package reads six parameters from the - standard input: - - - the seed for the random number generator (integer) - - a number to control how long we run: - > 0: maximum number of simulated tracked detections - < 0: -maximum number of iterations (i.e. the number of calls to - GiMeObj) - = 0: run until the 'model' decides to stop - - the name of the directory containing the characterized survey blocks - - the name of the model input file (a file GiMeObj will read in) - - the name of the output file where the detected objects will be listed - - the name of the output file where the detected and tracked objects will be - listed - - - An easy way of feeding these values into the driver is to write - them in a file, say "Driver.in", one line for each value, and execute the - program with redirection of standard input: - - SurveySimulator < Driver.in - - See the `example` subdirectory for an example of Driver.in - - Execution generates two output files with the user specified names: - - The first (called SimulDetect.dat in the example cases given) contains all - detected objects. The meaning of the values is given in the header of the - file. At the end of the file there is also the number of objects tested, the - number of objects detected, and the number of objects tracked. - - The second (called SimulTrack.dat in the examples) contains all the tracked - objects. The meaning of the values is given in the header of the file. - - The parameters of the survey blocks determine which (small) fraction of - the detected objects are NOT tracked, based on the properties of the - non-tracked objects in the true survey. - - NOTE: in both files, the color is - , and the magnitude is given in the reference - "x" filter. - ---- - -## IMPLEMENTING YOUR OWN MODEL - -The basic execution structure of the Survey Simulator is: - - Loop (until told not to): - call GiMeObj(arg_list_1) - Check for GiMeObj failure; set exit if so - call detection routine Detos1(arg_list_2) - Log detections - Check for exit conditions - Go back and loop - - The GiMeObj (see README_GiMeObj.md for additional details) routine is in charge of providing a single new object at each - call, an object being defined by (see below) its orbital elements, the - absolute magnitude of the object in some band/filter "x", the colors of the - object, the opposition surge effect parameter (G in Bowell's formalism) and - lightcurve parameters (period, peak-to-peak amplitude and the phase at the given epoch). - GiMeObj must accept a file name as input that tells the routine where to - find the needed parameters (if any) and also a random number generator seed. - The package provides two different implementations of the GiMeObj. - -- The one in InnerHotModel.f shows an example of an analytical model that reads its parameters from a file and then generates objects as requested. -- The one in ReadModelFromFile.f will read objects from a file, return them one at a time and signal when it has reach the end of the file. - -One creates one's own GiMeObj routine to replace the ones provided with the package. -The `Driver.f` program contains an 'include' for the file -`GiMeObj.f` containing the model definition. The suggested way to use -this feature with one's own code is to have one's GiMeObj routine in a file - and create a symobolic link: - - ln -s GiMeObj.f - -The model subroutines GiMeObj can access files using Fortran logical unit -numbers from 20 upward. This range in reseved for them and won't be used by -the drivers nor SurveySubs routines. - -It is good practice that when first started, the GiMeObj routine writes a -file describing the model used, the version and the date of the routine. - -Since this routine is called once for every object created, it needs to get -all the required parameters once when it is called the first time, then save -these values for future use. - -The survey simulator expects orbital elements with respect to barycentric -ecliptic reference frame, so the model must provides them in that reference -frame. - ---- -### API -The API (list of arguments, arg_list_1 above) for GiMeObj is - - (filena, seed, a, e, inc, node, peri, M, epoch, h, color, - gb, ph, period, amp, comment, nchar, ierr) - -with: - -#### INPUT - filena: name of the file to be read in by GiMeObj the first time it - is called (CH) - seed : Random number generator seed (I4) - -#### OUTPUT - a : semimajor axis (R8) - e : eccentricity (R8) - inc : Inclination with respect to J2000 ecliptic [rad] (R8) - node : Longitude of ascending node [rad] (R8) - peri : Argument of perihelion [rad] (R8) - M : Mean anomaly [rad] (R8) - epoch : epoch for M (and rotational phase below), in Julian Day (R8) - h : absolute magnitude of object in band filter "x" (R8) - color : array of colors "y-x", where the index of "y" is as - described in detos1 (10*R8) - colors(1) : g-x - colors(2) : r-x - colors(3) : i-x - colors(4) : z-x - colors(5) : u-x - colors(6) : V-x - colors(7) : B-x - colors(8) : R-x - colors(9) : I-x - gb : opposition surge factor G, Bowell formalism (R8) - ph : phase of lightcurve at epoch [rad] (R8) - period : period of lightcurve [day] (R8) CANNOT SET TO ZERO - amp : peak-to-peak amplitude of lightcurve [mag] (R8) - CAN SET TO ZERO - comment : user specified string containing whatever the user wants - (CHAR*100); can be empty. - nchar : number of characters in the comment string that should be - printed out in output files if the object is detected; - maximum of 100 (I4) - ierr : return code - 0 : GiMeObj does not diagnose any errors, normal return - value - 100 : end of model, exit after checking this object - -10 : could not get all orbital elements, skip object - -20 : something went grossly wrong, should quit - - ---- diff --git a/fortran/F77/README_GiMeObj.md b/fortran/F77/README_GiMeObj.md deleted file mode 100644 index 377d5c1..0000000 --- a/fortran/F77/README_GiMeObj.md +++ /dev/null @@ -1,188 +0,0 @@ -# GiMeObj - -The GiMeObj subroutine is the critical routine which contains the model of the -outer Solar System population(s) which are being exposed to the Survey -Simulator (and thus, ultimately, compared to real detections). - -When the driver code calls this routine, the driver expects that GiMeObj -will return one outer Solar System object defined by: - -1. An osculating BARYCENTRIC ECLIPTIC J2000 orbit - The orbital element set (a, e, i, long_node,arg_peri, M, JD) must be - used, where the mean anomaly M's value is given at epoch JD. - Note that the propogation forward or backward of the object's - position in Detos1() is done as an unperturbed barycentric - 2-body problem. - -2. An absolute H magnitude and set of colours in the major filters. - The H-mag can be specified in any filter (here called 'x') the - user wishes. The Bowell 'HG' formalism will be used to compute - apparent magnitudes, so the 'G' parameter of Bowell is also supplied - as variable gb. - The user MUST fill the array with colours which at a minimum covers - all filters used by the survey blocks that the user incorporates - into the survey they are simulating. If all the detection blocks - were in the 'g' filter, and the user specified H-magnitudes in the - same filter (that is, x=g-band), then one could run a simulation - where all colour terms could be zeroed. As a next example, if the - detection imaging was all done in g or r band, then the user could - specify H_g mags and provide only g-g=0 (color(1) below) and - r-g = -0.7 (color(2) below). One could even have 'x' be in a - band which is none of the nine pre-defined bands (see below). - Thus, the user only need specify the colors for the filters used - in the detection surveys. - Note that the Survey Simulator Detos1() routine will RETURN a - magnitude in the band 'x' selected by the user. - -3. A light curve amplitude, period, and phase - The user may turn this off by setting the amplitude to zero (the period - must not be set to zero!). The phase is interpreted as the rotational - phase at the same instant as the orbital element epoch (that is, the JD - at which M is given). The amplitude defined in the code is the - peak-to-peak amplitude. - -NOTE: Fortran logical unit numbers 7 to 19 are reserved to use by `Driver.f` and - `SurveySubs.f` and MUST NOT be used by the `GiMeObj` subroutine or any other - subroutine that you may add to the driver. Please use logical unit numbers - starting from 20. - ----- - -## GiMeObj API - -The list of arguments (arg_list_1 above) that the driver sends to GiMeObj is: - - (filena, seed, a, e, inc, node, peri, M, epoch, h, color, gb, ph, - period, amp, comment, nchar, ierr) - -with: - -### INPUT - filena: name of the file to be read in by GiMeObj the first time it - is called (CH) - seed : Random number generator seed (I4) - -### OUTPUT - a : semimajor axis (R8) - e : eccentricity (R8) - inc : Inclination with respect to J2000 ecliptic [rad] (R8) - node : Longitude of ascending node [rad] (R8) - peri : Argument of perihelion [rad] (R8) - M : Mean anomaly [rad] (R8) - epoch : epoch for M (and rotational phase below), in Julian Day (R8) - h : absolute magnitude of object in band filter "x" (R8) - color : array of colors "y-x", where the index of "y" is as - described in detos1 (10*R8) - colors(1) : g-x - colors(2) : r-x - colors(3) : i-x - colors(4) : z-x - colors(5) : u-x - colors(6) : V-x - colors(7) : B-x - colors(8) : R-x - colors(9) : I-x - gb : opposition surge factor G, Bowell formalism (R8) - ph : phase of lightcurve at epoch [rad] (R8) - period : period of lightcurve [day] (R8) CANNOT SET TO ZERO - amp : peak-to-peak amplitude of lightcurve [mag] (R8) - CAN SET TO ZERO - comment : user specified string containing whatever the user wants - (CHAR*100); can be empty. - nchar : number of characters in the comment string that should be - printed out in output files if the object is detected; - maximum of 100 (I4) - ierr : return code - 0 : GiMeObj does not diagnose any errors, normal return - value - 100 : end of model, exit after checking this object - -10 : could not get all orbital elements, skip object - -20 : something went grossly wrong, should quit - -Normally the Driver itself terminates the simulator (based on enough tracked -detections having been gathered), but the return codes here allow the user the -option of having GiMeObj return codes to tell the driver to terminate. - ---- -## Other subroutines - -### Detos1 - -Attempt to DETect 1 Outer Solarsystem object - -The `Detos1` subroutine is the heart of the Survey Simulator. - -The driver calls `GiMeObj` and then asks `Detos1` : "Would this object be -seen by the surveys which are being simulated?" More precisely, it says: -Given the detection efficiencies and pointing history of all blocks of -the survey, and taking into account the probabilistic nature of detection -(especially for faint objects), is this object in the field coverage and -detected by any block of the survey? If so, where and when was it detected -how bright, and was it tracked to a high precision orbit? - -The list of arguments (arg_list_2 above) for Detos1 is - - (a, e, inc, node, peri, mt0, jday, hx, color, gb, ph, period, amp, surnam, - seed, flag, ra, dec, d_ra, d_dec, r, delta, mi_int, m_rand, eff, isur, mt, - jdayp, ic, surna, h_rand) - -with: - -#### INPUT (from GiMeObj) - a : Semi-major axis [AU] (R8) - e : Eccentricity (R8) - inc : Inclination [rad] (R8) - node : Longitude of node [rad] (R8) - peri : Argument of perihelion [rad] (R8) - mt0 : Mean anomaly [rad] (R8) - jday : Reference time of the orbital elements [JD] (R8) - hx : Absolute magnitude of the object in the user's specified 'x' band - (R8) - color : Array of colors (10*R8) - colors(1) : g-x - colors(2) : r-x - colors(3) : i-x - colors(4) : z-x - colors(5) : u-x - colors(6) : V-x - colors(7) : B-x - colors(8) : R-x - colors(9) : I-x - gb : opposition surge factor G, Bowell formalism (R8) - ph : phase of lightcurve at epoch jday [rad] (R8) - period: period of lightcurve [day] (R8) - amp : peak-to-peak amplitude of lightcurve [mag] (R8) - surnam: Survey directory name (CH10) - -#### OUTPUT - - seed : Random number generator seed (I4) - flag : Return flag (I4): - 0: not found - 1: found, but not tracked - 2: found and tracked - ra : Right ascension at detection [rad] (R8) - dec : Declination at detection [rad] (R8) - d_ra : Right ascension rate [rad/day] (R8) - d_dec : Declination rate [rad/day] (R8) - r : Sun-object distance [AU] (R8) - delta : Earth-object distance [AU] (R8) - m_int : Intrinsic apparent magnitude, in x-band (R8); This is computed from - the absolute magnitude, the distance from the Sun and Earth and the - phase angle (Bowel formalism); The returned value is given in the - user defined 'x' filter - m_rand: Averaged randomized magnitude, in x-band (R8); This is computed from - the intrinsic apparent magnitude and a random uncertainty added - according to Gaussian noise whose amplitude and center are - determined from the parameters in the efficiency files; - The returned value is given in the user defined 'x' filter - eff : Efficiency of detection of object (function of mag and survey) (R8) - isur : Identification number of the survey block the object was in (I4) - mt : Mean anomaly at discovery [rad] (R8) - jdayp : Time of discovery [JD] (R8) - ic : Index of color used for survey (I4) - surna : Detection survey name, for information (CH10) - h_rand: Absolute randomized magnitude (R8) - ---- - diff --git a/fortran/F77/ReadModelFromFile.f b/fortran/F77/ReadModelFromFile.f deleted file mode 100644 index 952e6c2..0000000 --- a/fortran/F77/ReadModelFromFile.f +++ /dev/null @@ -1,561 +0,0 @@ -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c Generic model routines for Survey Simulator, version 2.0 for OSSOS -c -c Calling sequence in SurveySimulator.f (survey simulator driver) is: -c -c Loop (some condition): -c call GiMeObj(arg_list_1) -c Check model ended: -c set exit condition -c call Detos1(arg_list_2) -c Check detection and tracking: -c store results -c -c where arg_list_1 is -c (filena, seed, a, e, inc, node, peri, M, epoch, h, color, gb, ph, -c period, amp, comp, ierr) -c with: -c -c INPUT -c filena: name of containing description of model, read in by the -c model subroutine "modname" (CH) -c seed : Random number generator seed (I4) -c -c OUTPUT -c a : semimajor axis (R8) -c e : eccentricity (R8) -c inc : Inclination [rad] (R8) -c node : Longitude of node [rad] (R8) -c peri : Argument of perihelion [rad] (R8) -c M : Mean anomaly [rad] (R8) -c epoch : epoch of the orbital elements, in Julian Day (R8) -c h : absolute magnitude of object in band filter "x" (R8) -c color : array of colors "y-x", where the index of "y" is as -c described in detos1 (10*R8) -c color(1) : g-x -c color(2) : r-x -c color(3) : i-x -c color(4) : z-x -c color(5) : u-x -c color(6) : V-x -c color(7) : B-x -c color(8) : R-x -c color(9) : I-x -c gb : opposition surge factor, Bowell formalism (R8) -c ph : phase of lightcurve at epoch [rad] (R8) -c period: period of lightcurve [day] (R8) -c amp : amplitude of lightcurve [mag] (R8) -c commen: user specified string containing whatever the user wants (CH*100) -c nchar : number of characters in the comment string that should be -c printed out in output files if the object is detected; -c maximum of 100 (I4) -c ierr : return code -c 0 : nominal run, things are good -c 100 : end of model, exit after checking this object -c -10 : could not get all orbital elements, skip object -c -20 : something went grossly wrong, should quit -c -c The model subroutines can access files using logical unit numbers from -c 20 upward. This range in reseved for them and won't be used by the -c drivers nor SurveySubs routines. -c -c It is good practice that when first started, the GiMeObj routine -c writes a file describing the model used, the versino and the date of -c the routine. -c -c Since this routine is called once for every object created, it needs -c to get all the required parameters once when it is called the first -c time, then save these values for future use. -c -c The following routine gives a working example of a model routine. It -c is probably worth reading it through. -c -c The survey simulator expects orbital elements with respect to ecliptic -c reference frame. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c File generated on 2013-07-01 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* - - subroutine GiMeObj (filena, seed, a, e, inc, node, peri, M, - $ epoch, h, color, gb, ph, period, amp, commen, nchar, ierr) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c This routine generates an object from a model stored in a file. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c J-M. Petit Observatoire de Besancon -c Version 1 : May 2013 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c INPUT -c filena: name of containing description of model, read in by the -c model subroutine "modname" (CH) -c seed : Random number generator seed (I4) -c -c OUTPUT -c a : semimajor axis (R8) -c e : eccentricity (R8) -c inc : Inclination [rad] (R8) -c node : Longitude of node [rad] (R8) -c peri : Argument of perihelion [rad] (R8) -c M : Mean anomaly [rad] (R8) -c epoch : Time of elements [JD] (R8) -c h : Absolute magnitude of object in 'x' band, what ever this is (R8) -c color : Array of colors (10*R8) -c colors(1) : g-x -c colors(2) : r-x -c colors(3) : i-x -c colors(4) : z-x -c colors(5) : u-x -c colors(6) : V-x -c colors(7) : B-x -c colors(8) : R-x -c colors(9) : I-x -c gb : opposition surge factor, Bowell formalism (R8) -c ph : phase of lightcurve at epoch [rad] (R8) -c period: period of lightcurve [day] (R8) -c amp : amplitude of lightcurve [mag] (R8) -c commen: user specified string containing whatever the user wants (CH*100) -c nchar : number of characters in the comment string that should be -c printed out in output files if the object is detected; -c maximum of 100 (I4) -c ierr : return code (I4) -c 0 : nominal run, things are good -c 100 : end of model, exit after checking this object -c -10 : could not get all orbital elements, skip object -c -20 : something went grossly wrong, should quit -c -c The user can fill the 100-character 'commen' string any way they -c wish; this comment string will be printed in the driver on the output -c line of each detection. Examples of the comment might be resonance name -c and libration amplitude, or the name of a component in the GiMeObj model -c that the object responds to. The nchar variable (passed back to Driver) -c allows the user to pring only the first nchar characters of this string. -c -c This routine uses logical unit 20 to access the file containing the model. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c Set of F2PY directive to create a Python module -c -Cf2py intent(in) filena -Cf2py intent(in,out) seed -Cf2py intent(out) a -Cf2py intent(out) e -Cf2py intent(out) inc -Cf2py intent(out) node -Cf2py intent(out) peri -Cf2py intent(out) M -Cf2py intent(out) epoch -Cf2py intent(out) h -Cf2py intent(out) color -Cf2py intent(out) gb -Cf2py intent(out) ph -Cf2py intent(out) period -Cf2py intent(out) amp -Cf2py intent(out) commen -Cf2py intent(out) nchar -Cf2py intent(out) ierr - - implicit none - -c Calling arguments - integer*4 ierr, seed, nchar - real*8 a, e, inc, node, peri, M, epoch, h, color(10), gb, ph, - $ period, amp - character filena*(*), commen*100 - -c Some values better set up as parameters - integer*4 - $ n_obj_max, ! Maximum number of objects we can read at once - $ lun_d, ! Logical unit number for data file reading - $ lun_ll, ! Logical unit number for logging - $ screen ! Logical unit number for screen writing - real*8 - $ Pi, ! Pi - $ TwoPi, ! 2*Pi - $ drad ! Degree to radian convertion: Pi/180 -c Set the values - parameter - $ (Pi = 3.141592653589793238d0, TwoPi = 2.0d0*Pi, lun_d = 20, - $ drad = Pi/180.0d0, n_obj_max = 1000, screen = 6, lun_ll = 21) - -c Internal storage - real*8 - $ obj_a(n_obj_max), ! Array of semimajor axis - $ obj_e(n_obj_max), ! Array of eccentricities - $ obj_i(n_obj_max), ! Array of inclinations [rad] - $ obj_node(n_obj_max), ! Longitude of nodes [rad] - $ obj_peri(n_obj_max), ! Array of arguments of perihelion [rad] - $ obj_m(n_obj_max), ! Array of mean anomalies [rad] - $ obj_h(n_obj_max), ! Array of absolute magnitudes of object - ! in 'x' band - $ obj_jday(n_obj_max), ! Array of times of elements [JD] - $ random, ! Random number - $ ran3, ! Random number generator - $ color0(10) ! Color parameters of model - character - $ date*8, ! Date of execution - $ time*10, ! Time of execution - $ zone*5, ! Time zone - $ comp(n_obj_max)*10 ! Array of strings telling the component - ! the object belongs too - integer*4 - $ values(8), ! Values of date and time - $ i_obj, ! Index of current object in array - $ n_obj, ! Number of objects in arrays - $ ierr_d, ! Return code for GetDistrib - $ i1, i2 ! Dummy indices - logical - $ end_of_file, ! Tells if we've reached end of file - $ finished, ! Tells if string is empty - $ first ! Tells if first call to routine - -c Lightcurve and opposition surge effect parameters - real*8 - $ gb0, ph0, period0, amp0 - -c Ran3 is a function defined outside this routine - external ran3 - -c Sets initial values - data - $ i_obj / 0/, ! Starts from object 0 - $ end_of_file /.false./, ! We are not at the end yet - $ first /.true./, ! First call - $ gb0 /-0.12d0/, ! Opposition surge effect - $ ph0 / 0.00d0/, ! Initial phase of lightcurve - $ period0 / 0.60d0/, ! Period of lightcurve - $ amp0 / 0.00d0/ ! Amplitude of lightcurve (peak-to-peak) - -c Make sure variables are retained from call to call - save - -c This is the first call - if (first) then - call read_file_name(filena, i1, i2, finished, len(filena)) -c Writes a file describing the model that was used. - open (unit=lun_ll, file='ModelUsed.dat', access='sequential', - $ status='unknown') - write (lun_ll, '(a,a,a)') - $ '# Model from file ', filena(i1:i2), - $ ', version 1.0, 2013-05-14' - call date_and_time(date, time, zone, values) - write (lun_ll, '(a17,a23,2x,a5)') '# Creation time: ', - $ date(1:4)//'-'//date(5:6)//'-'//date(7:8)//'T' - $ //time(1:2)//':'//time(3:4)//':'//time(5:10), zone - close (lun_ll) -c Change "first" so this is not called anymore - first = .false. - end if - -c Check if there are still objects available in the arrays - if (i_obj .le. 0) then -c Get new objects. If this is the first call to GetDistrib, it will -c first open the data file, otherwise, will simply return the following -c objects. When reaching the end of the file, returns "ierr_d = 30". - call GetDistrib (filena, lun_d, n_obj_max, n_obj, obj_a, - $ obj_e, obj_i, obj_node, obj_peri, obj_m, obj_h, obj_jday, - $ color0, comp, ierr_d) - if (n_obj .le. 0) then - ierr = -20 - return - end if - if (ierr_d .ne. 0) then - if (ierr_d .eq. 10) then - write (screen, *) 'Unable to open ', filena - else if (ierr_d .eq. 30) then - end_of_file = .true. - goto 100 - else - write (screen, *) 'Unknown return code in read_obj:', - $ ierr_d - end if -c If we get here, there is something really wrong, better return with -c panic code. - ierr = -20 - return - end if - end if -c Ok, now we have data to send back - 100 continue - -c Now extract an object from the arrays - i_obj = i_obj + 1 - -c Determine the object elements (so they're the same for all surveys). - a = obj_a(i_obj) - e = obj_e(i_obj) - inc = obj_i(i_obj) - -c If the angles are "not defined" (i.e. < -twopi) they are drawn at -c random. If jday is "not defined" (i.e. < 0.), mean anomaly is drawn -c at random. - node = obj_node(i_obj) - if (node .lt. -twopi) then - random = ran3(seed) - node = random*twopi - end if - peri = obj_peri(i_obj) - if (peri .lt. -twopi) then - random = ran3(seed) - peri = random*twopi - end if - M = obj_m(i_obj) - epoch = obj_jday(i_obj) - if ((M .lt. -twopi) .or. (epoch .lt. 0.d0)) then - random = ran3(seed) - M = random*twopi - epoch = 2453157.5d0 - end if - -c Get the absolute magnitude H. - h = obj_h(i_obj) - -c Copy the component name - commen = comp(i_obj) - nchar = len(comp(i_obj)) - -c Define values for lightcurve and opposition surge effect - gb = gb0 - ph = ph0 - period = period0 - amp = amp0 - -c Get colors for object - do ierr_d = 1, 10 - color(ierr_d) = color0(ierr_d) - end do - -c Prepare return code - ierr = 0 - if (i_obj .eq. n_obj) then - i_obj = 0 - if (end_of_file) then -c We've reached the end of the file, better tell the caller. - ierr = 100 - end if - end if - - return - end - - subroutine GetDistrib (distri, lun_d, n_max, n_obj, obj_a, obj_e, - $ obj_i, obj_no, obj_pe, obj_m, obj_h, obj_t, color, comp, - $ ierr) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine reads in an orbit distribution file. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : February 2004 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c distri: Distribution file name (CH) -c lun_d : Logical unit for file (I4) -c n_max : Maximum number of objects to read (I4) -c -c OUTPUT -c n_obj : Number of objects read (I4) -c obj_a : Semi-major axis of object (n*R8) -c obj_e : Eccentricity of object (n*R8) -c obj_i : Inclination of object (n*R8) -c obj_no: Longitude of node of object (n*R8) -c obj_pe: Argument of perihelie of object (n*R8) -c obj_m : Mean anomaly of object (n*R8) -c obj_h : Absolute magnitude of object (n*R8) -c obj_t : Time of elements of object (n*R8) -c color : Array of colors (10*R8) -c comp : Dynamical componant the object belongs to (n*CH) -c g : Slope of object (R8) -c ierr : Error code (I4) -c 0 : nominal run, reached maximum number of objects -c 10 : unable to open filen -c 20 : error reading record -c 30 : end of file reached -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- - implicit none - - integer*4 - $ n_max - - real*8 - $ obj_a(*), obj_e(*), obj_i(*), obj_no(*), obj_pe(*), obj_m(*), - $ obj_h(*), obj_t(*), color(*), - $ a, e, inc, node, peri, mt, h, g, jday, mag, r, alpha - - integer*4 - $ lun_d, n_obj, ierr - - character - $ distri*(*), comp(*)*10, co*10 - - save jday - - ierr = 0 - -c Hard coded slope for magnitude ! Bad boy ! - g = -0.12d0 - -c Open and read in object distribution - n_obj = 0 - 100 continue - call read_obj (distri, lun_d, a, e, inc, mt, - $ peri, node, h, jday, color, co, ierr) - - if (ierr .ne. 0) then - if (ierr .eq. 10) then - write (6, *) 'Unable to open ', distri - else if (ierr .eq. 20) then - write (6, *) 'Error reading ', distri - write (6, *) 'Object number: ', n_obj - goto 100 - else if (ierr .eq. 30) then - goto 110 - else - write (6, *) 'Unknown return code in read_obj.' - end if - return - end if - - n_obj = n_obj + 1 - obj_a(n_obj) = a - obj_e(n_obj) = e - obj_i(n_obj) = inc - obj_h(n_obj) = h - obj_no(n_obj) = node - obj_pe(n_obj) = peri - obj_m(n_obj) = mt - obj_t(n_obj) = jday - if (co .ne. ' ') comp(n_obj) = co - if (n_obj .ge. n_max) then - return - end if - goto 100 - 110 continue - - return - end - - subroutine read_obj (filen, lun_in, a, e, i, capm, - $ om, capom, h, jday, color, co, ierr) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine opens and reads in the object element file. -c Angles are returned in radian. -c Potentially use a common to return the H distribution parameters. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : February 2004 -c Version 2 : For L7 data release, June 2010 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c filen : object element file name -c lun_in: File unit -c -c OUTPUT -c a : Semi-major axis (R8) -c e : Eccentricity of orbit (R8) -c i : Inclination (R8) -c capm : Mean anomaly (R8) -c om : Argument of pericenter (R8) -c capom : Longitude of node (R8) -c h : Absolute magnitude (R8) -c jday : Time of elements (R8) -c color : Array of colors (10*R8) -c co : Dynamical componant the object belongs to (CH) -c ierr : Error code -c 0 : nominal run -c 10 : unable to open filen -c 20 : error reading record -c 30 : end of file reached -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- - - implicit none - - real*8 - $ a, e, i, capm, om, capom, h, Pi, drad, jday, color(*), jd - - integer*4 - $ nw_max - - parameter - $ (Pi = 3.141592653589793238d0, drad = Pi/180.0D0, nw_max = 20) - - integer - $ lun_in, ierr, j, nw, lw(nw_max) - - character - $ line*100, filen*(*), word(nw_max)*80, co*10 - - logical - $ opened - - data opened /.false./ - - save opened, jd - - ierr = 0 - if (.not. opened) then - open (unit=lun_in, file=filen, status='old', err=1000) - opened = .true. - jd = -1.d0 - do j = 1, 10 - color(j) = 0.d0 - end do - end if - - 1500 continue - do j = 1, len(line) - line(j:j) = ' ' - end do - read (lun_in, '(a)', err=2000, end=3000) line - if (line(1:1) .eq. '#') then - if (line(1:25) .eq. '# Epoch of elements: JD =') then - read (line(26:100), *, err=1500, end=1500) jd - end if - if (line(1:10) .eq. '# Colors =') then - read (line(11:), *, err=1500, end=1500) (color(j),j=1,10) - end if - goto 1500 - end if - jday = jd - call parse (line, nw_max, nw, word, lw) - if (nw .lt. 7) goto 2000 - read (word(1), *) a - read (word(2), *) e - read (word(3), *) i - i = i*drad - read (word(4), *) capom - read (word(5), *) om - read (word(6), *) capm - read (word(7), *) h - capom = capom*drad - om = om*drad - capm = capm*drad - co = ' ' - if (nw .ge. 9) co = word(9) - return - - 1000 continue - ierr = 10 - return - - 2000 continue - ierr = 20 - return - - 3000 continue - ierr = 30 - close (lun_in) - opened = .false. - return - - end diff --git a/fortran/F77/Res32Model.f b/fortran/F77/Res32Model.f deleted file mode 100644 index b151c42..0000000 --- a/fortran/F77/Res32Model.f +++ /dev/null @@ -1,733 +0,0 @@ -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c Generic model routines for Survey Simulator, version 2.0 for OSSOS -c -c Calling sequence in SurveySimulator.f (survey simulator driver) is: -c -c Loop (some condition): -c call GiMeObj(arg_list_1) -c Check model ended: -c set exit condition -c call Detos1(arg_list_2) -c Check detection and tracking: -c store results -c -c where arg_list_1 is -c (filena, seed, a, e, inc, node, peri, M, epoch, h, color, gb, ph, -c period, amp, comp, ierr) -c with: -c -c INPUT -c filena: name of containing description of model, read in by the -c model subroutine "modname" (CH) -c seed : Random number generator seed (I4) -c -c OUTPUT -c a : semimajor axis (R8) -c e : eccentricity (R8) -c inc : Inclination [rad] (R8) -c node : Longitude of node [rad] (R8) -c peri : Argument of perihelion [rad] (R8) -c M : Mean anomaly [rad] (R8) -c epoch : epoch of the orbital elements, in Julian Day (R8) -c h : absolute magnitude of object in band filter "x" (R8) -c color : array of colors "y-x", where the index of "y" is as -c described in detos1 (10*R8) -c color(1) : g-x -c color(2) : r-x -c color(3) : i-x -c color(4) : z-x -c color(5) : u-x -c color(6) : V-x -c color(7) : B-x -c color(8) : R-x -c color(9) : I-x -c gb : opposition surge factor, Bowell formalism (R8) -c ph : phase of lightcurve at epoch [rad] (R8) -c period: period of lightcurve [day] (R8) -c amp : amplitude of lightcurve [mag] (R8) -c commen: user specified string containing whatever the user wants (CH*100) -c nchar : number of characters in the comment string that should be -c printed out in output files if the object is detected; -c maximum of 100 (I4) -c ierr : return code -c 0 : nominal run, things are good -c 100 : end of model, exit after checking this object -c -10 : could not get all orbital elements, skip object -c -20 : something went grossly wrong, should quit -c -c The model subroutines can access files using logical unit numbers from -c 10 to 15. This range in reseved for them and won't be used by the -c drivers nor SurveySubs routines. -c -c It is good practice that when first started, the GiMeObj routine -c writes a file describing the model used, the versino and the date of -c the routine. -c -c Since this routine is called once for every object created, it needs -c to get all the required parameters once when it is called the first -c time, then save these values for future use. -c -c The following routine gives a working example of a model routine. It -c is probably worth reading it through. -c -c The survey simulator expects orbital elements with respect to ecliptic -c reference frame. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c File generated on 2013-07-01 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c First define variables so they are accessible from a Python wrapper -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* - block data modeldata - - real*8 - $ lambdaN, epoch_m, emaxPLUT - - common /com_time/ epoch_m, lambdaN - common /com_32/ emaxPLUT - - data -c One cannot use the form "sh /15.d0*drad/", so one needs to perform -c the computation before hand and give the result here, or do the -c multiplication in the program. -c -c Maximum eccentricity of plutinos - $ emaxPLUT /0.32d0/, -c -c Values of time and planet positions for all models -c - $ lambdaN /5.489d0/, - $ epoch_m /2453157.5d0/ - end - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c Now define working routines and functions -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* - -c ********************************************************************* -c ********************************************************************* -c Subroutine res_3_2 -c -c currently generates objects in the 3:2 mean motion resonance -c Based on what was in plut.f from kozai_plutinos -c -c Set up to generate a from a uniform +/- about the res center -c e from a gaussian distribution (truncated at e=0) -c i from a sin(i)*gaussian distribution -c resonant amplitude from a triangle shaped thing -c -c Should be replaced/modified as the user wishes -c -c Kat Volk May 2013 -c -c 2013-05-14: J.-M. Petit adapted to new GiMeObj routine -c -c 2013-07-01: J.-M. Petit modified API to fit new Drivers.f -c -c 2013-09-20: J.-M. Petit changed H distributino to include divot -c -c ********************************************************************* -c ********************************************************************* - - subroutine GiMeObj (filena, seed, a, e, inc, node, peri, M, - $ epoch, h, color, gb, ph, period, amp, commen, nchar, ierr) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c This routine generates an object from a model stored in a file. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c J-M. Petit Observatoire de Besancon -c Version 1 : May 2013 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c INPUT -c filena: name of containing description of model, read in by the -c model subroutine "modname" (CH) -c seed : Random number generator seed (I4) -c -c OUTPUT -c a : semimajor axis (R8) -c e : eccentricity (R8) -c inc : Inclination [rad] (R8) -c node : Longitude of node [rad] (R8) -c peri : Argument of perihelion [rad] (R8) -c M : Mean anomaly [rad] (R8) -c epoch : Time of elements [JD] (R8) -c h : Absolute magnitude of object in 'x' band, what ever this is (R8) -c color : Array of colors (10*R8) -c colors(1) : g-x -c colors(2) : r-x -c colors(3) : i-x -c colors(4) : z-x -c colors(5) : u-x -c colors(6) : V-x -c colors(7) : B-x -c colors(8) : R-x -c colors(9) : I-x -c gb : opposition surge factor, Bowell formalism (R8) -c ph : phase of lightcurve at epoch [rad] (R8) -c period: period of lightcurve [day] (R8) -c amp : amplitude of lightcurve [mag] (R8) -c commen: user specified string containing whatever the user wants (CH*100) -c nchar : number of characters in the comment string that should be -c printed out in output files if the object is detected; -c maximum of 100 (I4) -c ierr : return code (I4) -c 0 : nominal run, things are good -c 100 : end of model, exit after checking this object -c -10 : could not get all orbital elements, skip object -c -20 : something went grossly wrong, should quit -c -c The user can fill the 100-character 'commen' string any way they -c wish; this comment string will be printed in the driver on the output -c line of each detection. Examples of the comment might be resonance name -c and libration amplitude, or the name of a component in the GiMeObj model -c that the object responds to. The nchar variable (passed back to Driver) -c allows the user to pring only the first nchar characters of this string. -c -c This routine uses logical unit 10 to access the file containing the model. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c Set of F2PY directive to create a Python module -c -Cf2py intent(in) filena -Cf2py intent(in,out) seed -Cf2py intent(out) a -Cf2py intent(out) e -Cf2py intent(out) inc -Cf2py intent(out) node -Cf2py intent(out) peri -Cf2py intent(out) M -Cf2py intent(out) epoch -Cf2py intent(out) h -Cf2py intent(out) color -Cf2py intent(out) gb -Cf2py intent(out) ph -Cf2py intent(out) period -Cf2py intent(out) amp -Cf2py intent(out) commen -Cf2py intent(out) nchar -Cf2py intent(out) ierr - - implicit none - -c Calling arguments - integer*4 ierr, seed, nchar - real*8 a, e, inc, node, peri, M, epoch, h, color(10), gb, ph, - $ period, amp - character filena*(*), commen*100 - -c Some values better set up as parameters - integer*4 - $ lun_m, ! Logical unit number for model description file - $ lun_ll ! Logical unit number for logging - real*8 - $ Pi, ! Pi - $ TwoPi, ! 2*Pi - $ drad ! Degree to radian convertion: Pi/180 -c Set the values - parameter - $ (Pi = 3.141592653589793238d0, TwoPi = 2.0d0*Pi, - $ drad = Pi/180.0d0, lun_m = 20, lun_ll = 21) - -c Internal storage - character - $ date*8, ! Date of execution - $ time*10, ! Time of execution - $ zone*5 ! Time zone - integer*4 - $ values(8), ! Values of date and time - $ i, ! Dummy index - $ j, ! Dummy index - $ kozflag, ! Flag for kozai resonance - $ nparam ! Number of parameters for distribution - real*8 - $ resamp, ! Resonance amplitude - $ phi32, ! Resonant angle - $ size_dist_one, ! Returns H according to exponential distrib - $ h_params(6), ! Parameters for the H distribution - $ params(6), ! Parameters for some distribution - $ incmin, ! Lower limit of inclination distribution - $ incmax, ! Upper limit of inclination distribution - $ epoch_m, ! Epoch of elements [JD] - $ random, ! Random number - $ ran3, ! Random number generator - $ gasdev, ! Returns a random number with gaussian - ! distribution of given width and center - $ q, ! Perihelion distance - $ lambdaN, ! Neptune's mean longitude at some reference epoch - $ ecent, ! mean eccentricity - $ ew, ! standard deviation of eccentricity - $ emaxPLUT, ! Maximum eccentricity of plutinos - $ sg2deg, ! standard deviation in inclination (degree) - $ sg2, ! standard deviation in inclination (radian) - $ libampc, ! center of the libration amp dist - $ fkoz, ! Fraction of kozai resonators - $ h0, ! lowest value for h distribution - $ h1, ! knee value for h distribution - $ h2, ! highest value for h distribution - $ slope, ! slope of size distribution, before divot - $ slope2, ! slope of size distribution, past divot - $ ct, ! constrast factor at divot - $ ckc, ! nb/(nb+ns) - $ nb, ! number of ojbect brighter than divot - $ ns, ! number of ojbect fainter than divot - $ h0s10, ! normalizing factor at low end of H-distrib - $ h1s10, ! normalizing factor at high end of H-distrib - $ r, ! Distance of object to Sun - $ x, ! X cartesian coordinate of object - $ y, ! Y cartesian coordinate of object - $ z, ! Z cartesian coordinate of object - $ onecomp ! Name of function for inclination distribution - logical - $ first, ! Tells if first call to routine - $ log ! True if we want to log data - -c Lightcurve and opposition surge effect parameters - real*8 - $ gb0, ph0, period0, amp0, - $ color0(10) ! Color parameters of model - -c Vars for Kozai stuff - real*8 - $ kappa, etest, stest, hamtest -c, emin, emax, smin, smax - real*8 - $ emina(78), emaxa(78), smina(78), smaxa(78), - $ wampa(78), hama(78), imina(78), imaxa(78) - integer*4 nlines -c disturbing function constants (Wan and Huang 2007) - real*8 - $ f1, f2, f3, f4, f7, f8, f20, f31, f53, f57, - $ f33, f85, f34, f38, f87, f55, f94, f56, f97, - $ f59, f60, f98 - - parameter - $ (f1=1.22929987494673, - $ f2=1.15279980000765, - $ f3=-4.61119920003061, - $ f4=8.91299634372390, - $ f7=-101.627224295057, - $ f8=99.3216246950413, - $ f20=34.9344527452960, - $ f31=2.48400518330394, - $ f53=8.26209324211937, - $ f57=2.29309477909734, - $ f33=1.30918774132387, - $ f85=33.8114340769523, - $ f34=-52.1519040380250, - $ f38=3.33415568496546, - $ f87=22.2556656117726, - $ f55=-25.0365507216464, - $ f94=151.734962414161, - $ f56=-302.645968671304, - $ f97=3.84495442174114, - $ f59=166.317806052861, - $ f60=-94.5573022804512, - $ f98=11.1996793328624) - -c Place some variables in common block so they can be accessed directly -c by a Python program. - common /com_32/ emaxPLUT - common /com_time/ epoch_m, lambdaN - -c Ran3, size_dist_one and gasdev are functions defined outside -c this routine. - external ran3, size_dist_one, gasdev, onecomp - -c Sets initial values - data - $ first /.true./, ! First call - $ gb0 /-0.12d0/, ! Opposition surge effect - $ ph0 / 0.00d0/, ! Initial phase of lightcurve - $ period0 / 0.60d0/, ! Period of lightcurve - $ amp0 / 0.00d0/ ! Amplitude of lightcurve (peak-to-peak) - - save - -c This is the first call - if (first) then -c Reads in other parameters describing the model. - open(unit=lun_m, file=filena, status="unknown", err=1000) - read(lun_m,*) sg2deg - sg2=sg2deg*drad - read(lun_m,*) h0 - read(lun_m,*) h1 - read(lun_m,*) h2 - read(lun_m,*) slope - read(lun_m,*) slope2 - h_params(1) = h0 - h_params(2) = h1 - h_params(3) = h2 - h_params(4) = slope - h_params(5) = slope2 - read(lun_m,*) ct - nb = (10.d0**(slope*h1) - 10.d0**(slope*h0))/slope - ns =10.d0**((slope-slope2)*h1)/slope2 - $ *(10.d0**(slope2*h2) - 10.d0**(slope2*h1))/ct - ckc = nb/(nb + ns) - read(lun_m,*) ew - read(lun_m,*) ecent - read(lun_m,*) libampc - read(lun_m,*) fkoz - read(lun_m,*) nlines - read(lun_m,*) kappa - do j = 1, nlines - read(lun_m,*) emina(j), emaxa(j), imina(j), imaxa(j), - $ hama(j), wampa(j) - smina(j)=sin(imina(j)/(2.0d0*drad)) - smaxa(j)=sin(imaxa(j)/(2.0d0*drad)) - wampa(j)=wampa(j)*drad - end do - read (lun_m, *) (color0(i),i=1,10) - read (lun_m, *) log - close(lun_m) - -c Writes a file describing the model that was used. - open (unit=lun_ll, file='ModelUsed', access='sequential', - $ status='unknown') - write (lun_ll, '(a)') - $ '# 3:2 resonance model, version 1.0, 2013-06-12' - call date_and_time(date, time, zone, values) - write (lun_ll, '(a17,a23,2x,a5)') '# Creation time: ', - $ date(1:4)//'-'//date(5:6)//'-'//date(7:8)//'T' - $ //time(1:2)//':'//time(3:4)//':'//time(5:10), zone - write (lun_ll, '(''#'')') - write (lun_ll, '(a,5(1x,f6.2))') - $ '# H limits and slopes:', (h_params(i),i=1,5) - write (lun_ll, '(a,1(1x,f6.2),a)') - $ '# Width of inc: ', sg2deg - write (lun_ll, '(''#'')') - close (lun_ll) -c Change "first" so this is not called anymore - first = .false. - end if - -c decide if it's a Kozai Plutino - random=ran3(seed) - if (random .lt. fkoz) goto 3241 -c jump to Kozai section, otherwise continue with normal Plutino - - kozflag=0 -c NON-KOZAI PLUTINO SECTION - 1051 continue -c ADDED GASDEV - random=ran3(seed) -c nominal is 0.18, 0.06 - e = gasdev(ecent,ew,seed) - if (e .lt. 0.0d0) goto 1051 - -c pick 'a' and re-draw if a/e outside of bounds - random=ran3(seed) -c center and shape from stability plots in Tiscareno paper - a= 39.45d0 + (random-0.5d0)*0.4d0 - if (a .gt. (39.45d0 + 4.0d0/3.0d0*(e - 0.01d0)) ) goto 1051 - if (a .lt. (39.45d0 - 4.0d0/3.0d0*(e - 0.01d0)) ) goto 1051 - -c cutoff if Uranus-approaching. - q = a*(1.0d0-e) - if (q .lt. 22.d0) goto 1051 - -c Pull an inclination - random = ran3(seed) -c J-M's code: - params(1) = sg2 - nparam = 1 - incmin = (0.0d0*drad) - incmax = (90.0d0*drad) - call incdism (seed, nparam, params, incmin, incmax, inc, - $ 1, ierr, onecomp) - -c node and M picked randomly. - random=ran3(seed) - node = random*TwoPi - random=ran3(seed) - m = random*TwoPi - -cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc -c Need random resonant argument, with libration amplitude -c phi32 = 3*lambda - 2*lambdaN - longperi -c phi32 = 3*(M+peri+node) - 2*lambdaN - (node+peri) -c Here use Pluto's libration amplitude (85 degrees) -cccc phi32 = Pi + 2.0d0*(random - 0.5d0)*85.d0*drad - -c try a triangle (JMP) based on Lykawka's histogram. -c - 1054 continue - resamp = ran3(seed)*110.0d0+20.0d0 - random = ran3(seed) - if (resamp .lt. libampc) then - if (random .gt. resamp/libampc) goto 1054 - else - if (random .gt. (130.d0-resamp)/(130.d0-libampc)) goto 1054 - end if - -ccccccccccccccccccccccc Now choose phi32 - - random=ran3(seed) - phi32 = Pi + sin(2.0d0*Pi*random)*resamp*drad - - random=ran3(seed) - if (random .gt. 0.5) phi32 = phi32 - TwoPi ! Object is trailing - -c Set argument of pericenter based on resonant angle - peri = 0.5d0*(phi32 - 3.d0*m +2.d0*lambdaN) - node - call zero2pi(peri) - - goto 1999 - -c ---------------------------------------------- -c KOZAI -c ---------------------------------------------- - 3241 continue - kozflag=1 - -c randomly pick a line from the koztable file - random=ran3(seed)*float(nlines) - j=aint(random) - -c pick peri from 90-omegamax, effectively picking Hamiltonian - random=ran3(seed) - peri=Pi/2.0d0 + (Pi/2.0d0 - wampa(j))*sin(2.0d0*Pi*random) - -c pick e using emin, emax, omega (peri) and hamiltonian -c start half from "outside" hamiltonian curve, half "inside" - random=ran3(seed) - if (random .lt. 0.5) then - etest=0.32d0 - 4486 stest=sqrt(0.5d0*(1.0d0 - - $ sqrt(kappa**2.0d0 / (1.0d0 - etest**2.0d0)))) - hamtest = f1 - - $ f31*etest + - $ (f2+f53)*etest**2.0d0 + - $ f3*stest**2.0d0 - - $ (f33+f85)*etest**3.0d0 - - $ f34*etest*stest**2.0d0 + - $ (f4+f94+f55)*etest**4.0d0 + - $ (f7+f56)*etest**2.0*stest**2.0d0 + - $ f8*stest**4.0d0 + - $ (f57*stest**2.0d0 - - $ (f38+f87)*etest*stest**2.0d0 + - $ (f20+f97+f59)*etest**2.0d0*stest**2.0d0 + - $ f60*stest**4.0d0)*cos(2.0d0*peri) + - $ f98*stest**4.0d0*cos(4.0d0*peri) -c write(6,8787) etest,emaxa(j),hamtest,hama(j),peri,wampa(j) -c 8787 format (6(f20.17,1x)) - if ((hamtest .gt. hama(j)) .and. (etest .gt. 0.15d0)) then - etest=etest-0.001d0 - if (etest .le. 0.15d0) goto 3241 - goto 4486 - end if - else - etest=0.15d0 - 4487 stest=sqrt(0.5d0*(1.0d0 - - $ sqrt(kappa**2.0d0 / (1.0d0 - etest**2.0d0)))) - hamtest = f1 - - $ f31*etest + - $ (f2+f53)*etest**2.0d0 + - $ f3*stest**2.0d0 - - $ (f33+f85)*etest**3.0d0 - - $ f34*etest*stest**2.0d0 + - $ (f4+f94+f55)*etest**4.0d0 + - $ (f7+f56)*etest**2.0*stest**2.0d0 + - $ f8*stest**4.0d0 + - $ (f57*stest**2.0d0 - - $ (f38+f87)*etest*stest**2.0d0 + - $ (f20+f97+f59)*etest**2.0d0*stest**2.0d0 + - $ f60*stest**4.0d0)*cos(2.0d0*peri) + - $ f98*stest**4.0d0*cos(4.0d0*peri) -c write(6,8788) etest,emaxa(j),hamtest,hama(j),peri,wampa(j) -c 8788 format (6(f20.17,1x)) - if ((hamtest .gt. hama(j)) .and. (etest .lt. 0.32d0)) then - etest=etest+0.001d0 - if (etest .ge. 0.32d0) goto 3241 - goto 4487 - end if - end if - e=etest - -c inc is in radians here - inc= 2.0d0*asin(stest) - -c flip half to 360 - peri - random=ran3(seed) - if (random .lt. 0.5) peri=2.0d0*Pi - peri - -c pick 'a' and re-draw if a/e outside of bounds - random=ran3(seed) -c center and shape from stability plots in Tiscareno paper - a= 39.45 + (random-0.5d0)*0.4d0 - if (a .gt. (39.45d0 + 4.0d0/3.0d0*(e - 0.01d0)) ) goto 3241 - if (a .lt. (39.45d0 - 4.0d0/3.0d0*(e - 0.01d0)) ) goto 3241 - -c M picked randomly. - random=ran3(seed) - m = random*TwoPi - -c Libration, should be same as for non-Kozai Plutino -c try a triangle (JMP) based on Lykawka's histogram. - 1055 continue - resamp = ran3(seed)*110.0d0+20.0d0 - random = ran3(seed) - if (resamp .lt. libampc) then - if (random .gt. resamp/libampc) goto 1055 - else - if (random .gt. (130.d0-resamp)/(130.d0-libampc)) goto 1055 - end if - - random=ran3(seed) - phi32 = Pi + sin(2.0d0*Pi*random)*resamp*drad - - random=ran3(seed) - if (random .gt. 0.5) phi32 = phi32 - TwoPi ! Object is trailing - -c Set node based on resonant angle - node = 0.5d0*(phi32 - 3.d0*m) + lambdaN - peri - call zero2pi(node) - call zero2pi(peri) - - goto 1999 - - 1999 continue - -c H-mag distribution - random = ran3(seed) - if (random .lt. ckc) then - slope = h_params(4) - h0 = h_params(1) - h1 = h_params(2) - else - slope = h_params(5) - h0 = h_params(2) - h1 = h_params(3) - end if - h0s10 = 10.d0**(slope*h0) - h1s10 = 10.d0**(slope*h1) - random = ran3(seed) - h = log10(random*(h1s10 - h0s10) + h0s10)/slope - - epoch = epoch_m - -c Define values for lightcurve and opposition surge effect - gb = gb0 - ph = ph0 - period = period0 - amp = amp0 - -c Get colors for object - do i = 1, 10 - color(i) = color0(i) - end do - -c Stores informations on resonance - commen = '03:02 ' - write (commen(7:17), '(f10.6,1x)') phi32 - write (commen(18:28), '(f10.5,1x)') resamp - write (commen(29:29), '(i1)') kozflag - nchar = 29 - -c Stores object if user requested - if (log) then - call pos_cart(a,e,inc,node,peri,M,x,y,z) - r = sqrt(x*x + y*y + z*z) - open (unit=lun_ll, file='ModelUsed.dat', access='append', - $ status='old') - write(lun_ll,101) a,e,inc/drad,node/drad,peri/drad,M/drad,h,r, - $ x, y, z, commen(1:nchar) - close (lun_ll) - 101 format(6(f8.4,1x),f6.2,1x,f8.4,3(1x,f7.3),1x,a) - end if - ierr = 0 - - return - - 1000 continue - ierr = -20 - return - - end - - subroutine zero2pi (var) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c This function resets variable 'var' to be between 0 and 2pi -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c B. Gladman UBC -c Version 1 : January 2007 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c INPUT/OUPUT -c var : Variable to reset to be between 0 and 2*Pi (R8) -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c Set of F2PY directives to create a Python module -c -Cf2py intent(in,out) var - - implicit none - -c Calling arguments - real*8 var - -cSome values better set up as parameters - real*8 - $ Pi, ! Pi - $ TwoPi ! 2*Pi -c Set the values - parameter - $ (Pi = 3.141592653589793238d0, TwoPi = 2.0d0*Pi) - - 771 if (var .gt. TwoPi) then - var = var - TwoPi - goto 771 - endif - 772 if (var .lt. 0.0d0) then - var = var + TwoPi - goto 772 - endif - return - end - -c-------------------------------------------- -c gasdev -c******************************************************************** -c Given a center, width and seed return a value drawn from a gaussian - - FUNCTION gasdev(x0,sigma,rs) - - implicit none - real*8 x0, sigma - integer*4 iset, rs - real*8 v1, v2, rsq, gasdev, gset - real*8 fac, random, ran3 - external ran3 - SAVE iset,gset - - if (iset.eq.0) then - 12 continue - random = ran3(rs) - v1= 2d0*random - 1d0 - random = ran3(rs) - v2= 2d0*random - 1d0 - rsq=v1*v1+v2*v2 - if (rsq.ge.1.0) goto 12 - - fac=sqrt(-2d0*log(rsq)/rsq) - gset=v1*fac - iset=1 - gasdev=v2*fac*sigma+x0 - return - else - iset=0 - gasdev=gset*sigma+x0 - return - endif - END - - include 'ModelUtils.f' diff --git a/fortran/F77/Rotation.f b/fortran/F77/Rotation.f deleted file mode 100644 index c81e1c0..0000000 --- a/fortran/F77/Rotation.f +++ /dev/null @@ -1,881 +0,0 @@ - subroutine equ_ecl(epsilon, poseq, posecl) -c****************************************************** -c -c Transformation of a vector from the equatorial frame to the ecliptic frame -c -c ANGLE IN RADIAN !!! -c -c Author : F. Mignard OCA/CERGA -c -c -c*** INPUT -c epsilon : obliquity -c poseq : input vector in equatorial frame -c -c*** OUTPUT -c posecl : output vector in ecliptic frame -c -c****************************************************** -Cf2py intent(in) epsilon -Cf2py intent(in) poseq -Cf2py intent(out) posecl - implicit none - - real*8 - $ Pi, degrad, phi, poseq(3), posecl(3), epsilon, phir - -c Chapront et al. 2002 gamma to O_icrs in arcsec - parameter - $ (Pi = 3.141592653589793238d0, phi = 0.05542d0, - $ degrad = Pi/180.d0) - - phir = phi/3600d0*degrad - - call RotZ(-phir, poseq, posecl) - - call RotX(epsilon, posecl, posecl) - - return - end - - subroutine ecl_equ(epsilon, posecl, poseq) -c****************************************************** -c -c Transformation of a vector from the ecliptic frame to the equatorial frame -c -c ANGLE IN RADIAN !!! -c -c Author : F. Mignard OCA/CERGA -c -c -c*** INPUT -c epsilon : obliquity -c posecl : input vector in ecliptic frame -c -c*** OUTPUT -c poseq : output vector in equatorial frame -c -c****************************************************** -Cf2py intent(in) epsilon -Cf2py intent(in) posecl -Cf2py intent(out) poseq - implicit none - - real*8 - $ Pi, degrad, phi, poseq(3), posecl(3), epsilon, phir - -c Chapront et al. 2002 gamma to O_icrs in arcsec - parameter - $ (Pi = 3.141592653589793238d0, phi = 0.05542d0, - $ degrad = Pi/180.d0) - - phir = phi/3600d0*degrad - - call RotX(-epsilon, posecl, poseq) - - call RotZ(phir, poseq, poseq) - - return - end - - subroutine RotX(alpha, posin, posout) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine computes position in a frame rotated by angle alpha (rd) -c about the X axis. -c This is the same as giving the coordinates of a vector that have been -c rotating by angle -alpha around the axis. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : June 2005 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c alpha : Rotation angle, in radian (R8) -c posin : Position in original frame (R8) -c -c OUTPUT -c posout: Position in new frame (R8) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) alpha -Cf2py intent(in) posin -Cf2py intent(out) posout - implicit none - - integer - $ i - - real*8 - $ alpha, posin(3), posout(3), ta2, sa, x1, y1 - -c print *, '[RX] in:', posin(1)**2+posin(2)**2+posin(3)**2 - ta2 = dtan(alpha/2.d0) - sa = dsin(alpha) - x1 = posin(2) + posin(3)*ta2 - y1 = posin(3) - x1*sa - posout(1) = posin(1) - posout(2) = x1 + y1*ta2 - posout(3) = y1 -c print *, '[RX] out:', posout(1)**2+posout(2)**2+posout(3)**2 - - return - end - - subroutine RotY(alpha, posin, posout) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine computes position in a frame rotated by angle alpha (rd) -c about the Y axis. -c This is the same as giving the coordinates of a vector that have been -c rotating by angle -alpha around the axis. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : June 2005 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c alpha : Rotation angle, in radian (R8) -c posin : Position in original frame (R8) -c -c OUTPUT -c posout: Position in new frame (R8) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) alpha -Cf2py intent(in) posin -Cf2py intent(out) posout - implicit none - - integer - $ i - - real*8 - $ alpha, posin(3), posout(3), ta2, sa, x1, y1 - -c print *, '[RY] in:', posin(1)**2+posin(2)**2+posin(3)**2 - ta2 = dtan(alpha/2.d0) - sa = dsin(alpha) - x1 = posin(3) + posin(1)*ta2 - y1 = posin(3) - x1*sa - posout(2) = posin(2) - posout(3) = x1 + y1*ta2 - posout(1) = y1 -c print *, '[RY] out:', posout(1)**2+posout(2)**2+posout(3)**2 - - return - end - - subroutine RotZ(alpha, posin, posout) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine computes position in a frame rotated by angle alpha (rd) -c about the Z axis. -c This is the same as giving the coordinates of a vector that have been -c rotating by angle -alpha around the axis. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : June 2005 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c alpha : Rotation angle, in radian (R8) -c posin : Position in original frame (R8) -c -c OUTPUT -c posout: Position in new frame (R8) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) alpha -Cf2py intent(in) posin -Cf2py intent(out) posout - implicit none - - integer - $ i - - real*8 - $ alpha, posin(3), posout(3), ta2, sa, x1, y1 - -c print *, '[RZ] in:', posin(1)**2+posin(2)**2+posin(3)**2 - ta2 = dtan(alpha/2.d0) - sa = dsin(alpha) - x1 = posin(1) + posin(2)*ta2 - y1 = posin(2) - x1*sa - posout(3) = posin(3) - posout(1) = x1 + y1*ta2 - posout(2) = y1 -c print *, '[RZ] out:', posout(1)**2+posout(2)**2+posout(3)**2 - - return - end - - subroutine equat_ecl(ieqec,v_in,v_out,ierr) -! -! Transformation of a vector v_in(3) from : -! equator to ecliptic : irot = +1 -! ecliptic to equator : irot = -1 -! at J2000. -! The equator is assumed to be the ICRF frame -! The ecliptic is the so called 'conventional ecliptic' -! going through the origin of the ICRF with the obliquity -! epsilon = 23°26'21".410 = 84381".41 -! It differs by ~ 50 mas from the inertial mean ecliptic(s) of J2000. -! -! One can call equat_ecl(ieqec,vv,vv,ierr) -! -! F. Mignard OCA/CERGA -! Version 1 : April 2003 -! -!*************************************************************** -! INPUT -! Ieqec : +1 ==> from equator to ecliptic ; -1 from ecliptic to equator. -! v_in : input vector v_in(3) in the initial frame -! -! OUTPUT -! v_out : output vector in the final frame v_out(3) -! ierr : ierr = 0 :: normal exit -! ierr = 100 :: error ieqec neither 1 or -1 . -! -!*************************************************************** -Cf2py intent(in) ieqec -Cf2py intent(in) v_in -Cf2py intent(out) v_out -Cf2py intent(out) ierr - - implicit none - - real*8 - $ epsilon, v_in(3), v_out(3), ww(3), Pi, secrad - -c obliquity at J20000 in arcsec - - parameter - $ (epsilon = 84381.41d0, Pi = 3.141592653589793238d0, - $ secrad = Pi/180.d0/3600.d0) - - integer*4 - $ ieqec, ierr - -c regular exit - ierr = 0 - -c to allow a call like :: call equat_ecl(ieqec,vv,vv,ierr) - - if (ieqec .eq. 1) then - call RotX(epsilon*secrad, v_in, v_out) - else if (ieqec .eq. -1) then - call RotX(-epsilon*secrad, v_in, v_out) - else -c anomalous exit ieqec not allowed - ierr = 100 - end if - - return - end - - subroutine invar_ecl(ieqec,v_in,v_out,ierr) -! -! Transformation of a vector v_in(3) from : -! invariable plane to ecliptic : irot = +1 -! ecliptic to invariable plane : irot = -1 -! at J2000. -! The invariable plane is given with respect to the ecliptic plane -! (J2000) by Burkhardt, AA, 1982: -! inclination of invariable plane: 1° 35' 13.86" = 5713.86" -! direction of ascending node: 107° 36' 30.8" = 387390.8" -! -! The ecliptic is the so called 'conventional ecliptic' -! going through the origin of the ICRF with the obliquity -! epsilon = 23°26'21".410 = 84381".41 -! It differs by ~ 50 mas from the inertial mean ecliptic(s) of J2000. -! -! One can call invar_ecl(ieqec,vv,vv,ierr) -! -! Adapted from: -! F. Mignard OCA/CERGA -! Version 1 : April 2003 -! -! J-M. Petit UBC/CNRS -! Version 1 : September 2007 -! -!*************************************************************** -! INPUT -! Ieqec : +1 ==> from invariable to ecliptic ; -1 from ecliptic to invariable. -! v_in : input vector v_in(3) in the initial frame -! -! OUTPUT -! v_out : output vector in the final frame v_out(3) -! ierr : ierr = 0 :: normal exit -! ierr = 100 :: error ieqec neither 1 or -1 . -! -!*************************************************************** -Cf2py intent(in) ieqec -Cf2py intent(in) v_in -Cf2py intent(out) v_out -Cf2py intent(out) ierr - - implicit none - - real*8 - $ epsilon, v_in(3), v_out(3), ww(3), Pi, secrad, omega - -c obliquity at J20000 in arcsec - - parameter - $ (epsilon = 5713.86d0, omega = 387390.8d0, - $ Pi = 3.141592653589793238d0, secrad = Pi/180.d0/3600.d0) - - integer*4 - $ ieqec, ierr - -c regular exit - ierr = 0 - -c to allow a call like :: call invar_ecl(ieqec,vv,vv,ierr) - - if (ieqec .eq. 1) then - call RotX(-epsilon*secrad, v_in, ww) - call RotZ(-omega*secrad, ww, v_out) - else if (ieqec .eq. -1) then - call RotZ(omega*secrad, v_in, ww) - call RotX(epsilon*secrad, ww, v_out) - else -c anomalous exit ieqec not allowed - ierr = 100 - end if - - return - end - - subroutine invar_ecl_osc(ieqec, ai, ei, ii, noi, pei, mi, - $ ao, eo, io, noo, peo, mo, ierr) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine convert osculating elements back and forth between -c invariable plane and ecliptic plane. -c Uses invar_ecl to do the work. -c -c ANGLES ARE GIVEN IN RADIAN !!! -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) ieqec -Cf2py intent(in) ai -Cf2py intent(in) ei -Cf2py intent(in) ii -Cf2py intent(in) noi -Cf2py intent(in) pei -Cf2py intent(in) mi -Cf2py intent(out) ao -Cf2py intent(out) eo -Cf2py intent(out) io -Cf2py intent(out) noo -Cf2py intent(out) peo -Cf2py intent(out) mo -Cf2py intent(out) ierr - - implicit none - - real*8 - $ ai, ei, ii, noi, pei, mi, ao, eo, io, noo, peo, mo, - $ posi(3), poso(3), veli(3), velo(3), mu, Pi, TwoPi, drad, - $ aid, eid, iid, noid, peid, mid - - integer*4 - $ ieqec, ierr - - parameter - $ (Pi = 3.141592653589793238d0, TwoPi = 2.d0*Pi, drad = Pi/180.d0, - $ mu = TwoPi**2) - - aid = ai - eid = ei - iid = ii - noid = noi - peid = pei - mid = mi - call coord_cart (mu, aid, eid, iid, noid, peid, mid, posi(1), - $ posi(2), posi(3), veli(1), veli(2), veli(3)) - call invar_ecl (ieqec, posi, poso, ierr) - call invar_ecl (ieqec, veli, velo, ierr) - call osc_el (mu, poso(1), poso(2), poso(3), velo(1), velo(2), - $ velo(3), ao, eo, io, noo, peo, mo) - call ztopi (io) - if (io .gt. Pi) io = io - Pi - call ztopi (noo) - call ztopi (peo) - call ztopi (mo) - - return - end - - subroutine invar_ecl_inc_node(ieqec, ii, noi, io, noo, ierr) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine convert inclination and longitude of node elements back -c and forth between invariable plane and ecliptic plane. -c Uses invar_ecl_osc to do the work. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) ieqec -Cf2py intent(in) ii -Cf2py intent(in) noi -Cf2py intent(out) io -Cf2py intent(out) noo -Cf2py intent(out) ierr - - implicit none - - real*8 - $ ai, ei, ii, noi, pei, mi, ao, eo, io, noo, peo, mo, - $ iid, noid - - integer*4 - $ ieqec, ierr - - data - $ ai /10.d0/, - $ ei /0.2d0/, - $ pei /0.d0/, - $ mi /0.d0/ - - iid = ii - noid = noi - call invar_ecl_osc (ieqec, ai, ei, iid, noid, pei, mi, ao, eo, io, - $ noo, peo, mo, ierr) - - return - end - - subroutine ref_ecl(ieqec,v_in, v_out, eps, om, ierr) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine converts vectors back and forth between -c given reference frame and ecliptic plane. -c Reference frame is given by Omega (om), the node longitude (rotation -c around Z axis of ecliptic) and Epsilon (eps), the inclination of the -c reference frame (rotation around node axis of ecliptic). -c -c ANGLE IN RADIAN !!! -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -! -! Transformation of a vector v_in(3) from : -! given reference frame to ecliptic : irot = +1 -! ecliptic to given reference frame : irot = -1 -! at J2000. -! -! The ecliptic is the so called 'conventional ecliptic' -! going through the origin of the ICRF with the obliquity -! epsilon = 23°26'21".410 = 84381".41 -! It differs by ~ 50 mas from the inertial mean ecliptic(s) of J2000. -! -! One can call ref_ecl(ieqec,vv,vv,ierr) -! -! Adapted from: -! F. Mignard OCA/CERGA -! Version 1 : April 2003 -! -! J-M. Petit UBC/CNRS -! Version 1 : June 2015 -! -!*************************************************************** -! INPUT -! Ieqec : +1 ==> from reference frame to ecliptic ; -! -1 ==> from ecliptic to reference frame -! v_in : input vector v_in(3) in the initial frame -! eps : Epsilon, inclination of ref frame [rad] -! om : Omega, longitude of node [rad] -! -! OUTPUT -! v_out : output vector in the final frame v_out(3) -! ierr : ierr = 0 :: normal exit -! ierr = 100 :: error ieqec neither 1 or -1 . -! -!*************************************************************** -Cf2py intent(in) ieqec -Cf2py intent(in) v_in -Cf2py intent(in) eps -Cf2py intent(in) om -Cf2py intent(out) v_out -Cf2py intent(out) ierr - - implicit none - - real*8 - $ eps, v_in(3), v_out(3), ww(3), om - - integer*4 - $ ieqec, ierr - -c regular exit - ierr = 0 - -c to allow a call like :: call ref_ecl(ieqec,vv,vv,ierr) - - if (ieqec .eq. 1) then - call RotX(-eps, v_in, ww) - call RotZ(-om, ww, v_out) - else if (ieqec .eq. -1) then - call RotZ(om, v_in, ww) - call RotX(eps, ww, v_out) - else -c anomalous exit ieqec not allowed - ierr = 100 - end if - - return - end - - subroutine ref_ecl_osc(ieqec, ai, ei, ii, noi, pei, mi, - $ ao, eo, io, noo, peo, mo, eps, om, ierr) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine converts osculating elements back and forth between -c given reference frame and ecliptic plane. -c Uses ref_ecl to do the work. -c Reference frame is given by Omega (om), the node longitude (rotation -c around Z axis of ecliptic) and Epsilon (eps), the inclination of the -c reference frame (rotation around node axis of ecliptic). -c -c ANGLES ARE GIVEN IN RADIAN !!! -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) ieqec -Cf2py intent(in) ai -Cf2py intent(in) ei -Cf2py intent(in) ii -Cf2py intent(in) noi -Cf2py intent(in) pei -Cf2py intent(in) mi -Cf2py intent(in) eps -Cf2py intent(in) om -Cf2py intent(out) ao -Cf2py intent(out) eo -Cf2py intent(out) io -Cf2py intent(out) noo -Cf2py intent(out) peo -Cf2py intent(out) mo -Cf2py intent(out) ierr - - implicit none - - real*8 - $ ai, ei, ii, noi, pei, mi, ao, eo, io, noo, peo, mo, - $ posi(3), poso(3), veli(3), velo(3), mu, Pi, TwoPi, drad, - $ aid, eid, iid, noid, peid, mid, eps, om - - integer*4 - $ ieqec, ierr - - parameter - $ (Pi = 3.141592653589793238d0, TwoPi = 2.d0*Pi, drad = Pi/180.d0, - $ mu = TwoPi**2) - - aid = ai - eid = ei - iid = ii - noid = noi - peid = pei - mid = mi - call coord_cart (mu, aid, eid, iid, noid, peid, mid, posi(1), - $ posi(2), posi(3), veli(1), veli(2), veli(3)) - call ref_ecl (ieqec, posi, poso, eps, om, ierr) - call ref_ecl (ieqec, veli, velo, eps, om, ierr) - call osc_el (mu, poso(1), poso(2), poso(3), velo(1), velo(2), - $ velo(3), ao, eo, io, noo, peo, mo) - call ztopi (io) - if (io .gt. Pi) io = io - Pi - call ztopi (noo) - call ztopi (peo) - call ztopi (mo) - - return - end - - subroutine ref_ecl_inc_node(ieqec, ii, noi, io, noo, eps, om, - $ ierr) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine converts inclination and longitude of node elements back -c and forth between given reference frame and ecliptic plane. -c Uses ref_ecl_osc to do the work. -c Reference frame is given by Omega (om), the node longitude (rotation -c around Z axis of ecliptic) and Epsilon (eps), the inclination of the -c reference frame (rotation around node axis of ecliptic). -c -c ANGLES ARE GIVEN IN RADIAN !!! -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) ieqec -Cf2py intent(in) ii -Cf2py intent(in) noi -Cf2py intent(in) eps -Cf2py intent(in) om -Cf2py intent(out) io -Cf2py intent(out) noo -Cf2py intent(out) ierr - - implicit none - - real*8 - $ ai, ei, ii, noi, pei, mi, ao, eo, io, noo, peo, mo, - $ iid, noid, eps, om - - integer*4 - $ ieqec, ierr - - data - $ ai /10.d0/, - $ ei /0.2d0/, - $ pei /0.d0/, - $ mi /0.d0/ - - iid = ii - noid = noi - call ref_ecl_osc (ieqec, ai, ei, iid, noid, pei, mi, ao, eo, io, - $ noo, peo, mo, eps, om, ierr) - - return - end - - subroutine forced_plane(a, ifd, Omfd) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c This routine returns the inclination iforced and node Omforced of the -c forced plane as a function of semimajor-axis in the region of the -c main classical Kuiper belt, according to second order theory with all -c 8 planets. -c -c The fit is valid only between 35 au and 47.74 au (2:1 MMR). -c Returns 0 for a < 35 au, and the invariable plane for a > 47.74 au -c -c Returns degrees. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c J-M. Petit Observatoire de Besancon -c Version 1 : April 2018 -c Version 2 : March 2019 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c INPUT -c a : semimajor-axis [au] (R8) -c -c OUTPUT -c ifd : Inclination of forced plane [deg] (R8) -c Omfd : Node of forced plane [deg] (R8) -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c Set of F2PY directives to create a Python module -c -Cf2py intent(in) a -Cf2py intent(out) ifd -Cf2py intent(out) Omfd -c - implicit none - -c Calling arguments - real*8 a, ifd, Omfd - -c Internal variables - real*8 ci0(4), ci1(3), ci2(3), ci3(3), - $ co0(3), co1(3), co2(5), co3(5), - $ alpha, beta, gamma, delta, om_lim_low, om_lim_high - - common /om_lim_com/ om_lim_low, om_lim_high - - data - $ ci0 /-0.115657583d0,34.8097343d0,7.79198557d-02,-1.06252408d0/, - $ ci1 /-0.392018467d0, 40.5282974d0, 0.137285933/, - $ ci2 /-0.391531527d0, 40.6837921d0, 0.190758109/, - $ ci3 /0.391087621d0, 40.2941360d0, 0.146276891/, - $ co0 /971.35006612732775d0, -50.061061665365997d0, - $ 0.74715152013989472d0/, - $ co1 /4694.6567730091410d0, -249.62252879980477d0, - $ 3.4214148236506192d0/, - $ co2 /11.7058372d0, -294.139587d0, 30.8862801d0, - $ -1049.41772d0, 15.2022839d0/, - $ co3 /30.4611244d0, -1203.70593d0, 2.47961617d0, - $ -16.6130295d0, 302.805359d0/, - $ alpha /1.d0/, - $ om_lim_low /200.d0/, - $ om_lim_high /20.d0/ - - if (a .lt. 35.d0) then - ifd = 0.d0 - Omfd = 0.d0 - else if (a .lt. 37.d0) then - ifd = (ci0(1)/(a - ci0(2)) + ci0(3)*a + ci0(4)) - Omfd = co0(1) + co0(2)*a + co0(3)*a*a -c else if (a .lt. 39.41d0) then - else if (a .lt. 39.0d0) then - ifd = 10.d0**(ci1(1)/(a - ci1(2)) + ci1(3)) - Omfd = co1(1) + co1(2)*a + co1(3)*a*a - else if (a .lt. 40.47d0) then -c ifd = 10.d0**(ci2(1)/(a - ci2(2)) + ci2(3)) -c beta = -((co2(1) + co2(3))*a + co2(2) + co2(4)) -c gamma = (co2(1)*a + co2(2))*(co2(3)*a + co2(4)) - co2(5) -c delta = max(0., beta**2 - 4.d0*alpha*gamma) -cc Here we use the (-b + sqrt(\Delta))/(2a) solution -c Omfd = (-beta + sqrt(delta))/(2.d0*alpha) - ifd = 2.477d0 -c Omfd = (200.d0-163.187d0)/(40.47d0-39.d0)*(a-40.47d0)+200.d0 - Omfd = (om_lim_low-163.187d0)/(40.47d0-39.d0)*(a-40.47d0) - $ + om_lim_low - else if (a .lt. 41.9d0) then - ifd = 2.477d0 -c Omfd = (61.791d0-20.d0)/(41.9d0-40.47d0)*(a-40.47d0) + 20.d0 - Omfd = (61.791d0-om_lim_high)/(41.9d0-40.47d0)*(a-40.47d0) - $ + om_lim_high - else if (a .lt. 47.74d0) then - ifd = 10.d0**(ci3(1)/(a - ci3(2)) + ci3(3)) - beta = -((co3(1) + co3(3))*a + co3(2) + co3(4)) - gamma = (co3(1)*a + co3(2))*(co3(3)*a + co3(4)) - co3(5) - delta = max(0., beta**2 - 4.d0*alpha*gamma) -c Here we use the (-b - sqrt(\Delta))/(2a) solution - Omfd = (-beta - sqrt(delta))/(2.d0*alpha) - else - ifd = 5713.86d0/3600.d0 - Omfd = 387390.8d0/3600.d0 - end if - ifd = min(ifd, 40.d0) - return - - end - - subroutine forced_plane_damp(a, inc, ifd, Omfd) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c This routine returns the inclination iforced and node Omforced of the -c forced plane as a function of semimajor-axis in the region of the -c main classical Kuiper belt, according to second order theory with all -c 8 planets. -c -c This version damps the forced plane to the invariable plane according -c to inclination. -c -c The fit is valid only between 35 au and 47.74 au (2:1 MMR). -c Returns 0 for a < 35 au, and the invariable plane for a > 47.74 au -c -c Returns degrees. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c J-M. Petit Observatoire de Besancon -c Version 1 : November 2021 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c INPUT -c a : semimajor-axis [au] (R8) -c inc : Inclination [deg] (R8) -c -c OUTPUT -c ifd : Inclination of forced plane [deg] (R8) -c Omfd : Node of forced plane [deg] (R8) -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c Set of F2PY directives to create a Python module -c -Cf2py intent(in) a -Cf2py intent(in) inc -Cf2py intent(out) ifd -Cf2py intent(out) Omfd -c - implicit none - -c Calling arguments - real*8 a, inc, ifd, Omfd - -c Internal variables - real*8 ci0(4), ci1(3), ci2(3), ci3(3), - $ co0(3), co1(3), co2(5), co3(5), - $ alpha, beta, gamma, delta, om_lim_low, om_lim_high, - $ damp, y - - real*8 - $ epsilon, omega, ce_damp, wi_damp - -c obliquity at J20000 in arcsec - - parameter - $ (epsilon = 5713.86d0/3600.d0, omega = 387390.8d0/3600.d0, - $ ce_damp = 16.d0, wi_damp = 6.d0) - - common /om_lim_com/ om_lim_low, om_lim_high - - data - $ ci0 /-0.115657583d0,34.8097343d0,7.79198557d-02,-1.06252408d0/, - $ ci1 /-0.392018467d0, 40.5282974d0, 0.137285933/, - $ ci2 /-0.391531527d0, 40.6837921d0, 0.190758109/, - $ ci3 /0.391087621d0, 40.2941360d0, 0.146276891/, - $ co0 /971.35006612732775d0, -50.061061665365997d0, - $ 0.74715152013989472d0/, - $ co1 /4694.6567730091410d0, -249.62252879980477d0, - $ 3.4214148236506192d0/, - $ co2 /11.7058372d0, -294.139587d0, 30.8862801d0, - $ -1049.41772d0, 15.2022839d0/, - $ co3 /30.4611244d0, -1203.70593d0, 2.47961617d0, - $ -16.6130295d0, 302.805359d0/, - $ alpha /1.d0/, - $ om_lim_low /200.d0/, - $ om_lim_high /20.d0/ - - damp(y) = 1.d0*(1.d0-tanh((y-ce_damp)/wi_damp))/2.d0 - - if (a .lt. 35.d0) then - ifd = 0.d0 - Omfd = 0.d0 - else if (a .lt. 37.d0) then - ifd = (ci0(1)/(a - ci0(2)) + ci0(3)*a + ci0(4)) - Omfd = co0(1) + co0(2)*a + co0(3)*a*a - else if (a .lt. 39.0d0) then - ifd = 10.d0**(ci1(1)/(a - ci1(2)) + ci1(3)) - Omfd = co1(1) + co1(2)*a + co1(3)*a*a - else if (a .lt. 40.0d0) then - ifd = 2.477d0 - Omfd = (om_lim_low-163.187d0)/(40.0d0-39.d0)*(a-40.0d0) - $ + om_lim_low - else if (a .lt. 41.9d0) then - ifd = 2.477d0 - Omfd = (61.791d0-om_lim_high)/(41.9d0-40.0d0)*(a-40.0d0) - $ + om_lim_high - else if (a .lt. 47.74d0) then - ifd = 10.d0**(ci3(1)/(a - ci3(2)) + ci3(3)) - beta = -((co3(1) + co3(3))*a + co3(2) + co3(4)) - gamma = (co3(1)*a + co3(2))*(co3(3)*a + co3(4)) - co3(5) - delta = max(0., beta**2 - 4.d0*alpha*gamma) - Omfd = (-beta - sqrt(delta))/(2.d0*alpha) - else - ifd = epsilon - Omfd = omega - end if - ifd = min(ifd, 40.d0) - ifd = epsilon + (ifd-epsilon)*damp(inc) - Omfd = omega + (Omfd-omega)*damp(inc) - return - - end - - subroutine ztopi (var) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This subroutine resets var to be between 0 and 2Pi. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- - - implicit none - - real*8 - $ Pi, TwoPi, var - - parameter - $ (Pi = 3.141592653589793238d0, TwoPi = 2.d0*Pi) - - 1000 continue - if (var .gt. TwoPi) then - var = var - TwoPi - goto 1000 - end if - 1100 continue - if (var .lt. 0.d0) then - var = var + TwoPi - goto 1100 - end if - - return - end diff --git a/fortran/F77/SurveySubs.f b/fortran/F77/SurveySubs.f deleted file mode 100644 index 0046897..0000000 --- a/fortran/F77/SurveySubs.f +++ /dev/null @@ -1,1294 +0,0 @@ -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c Survey Simulator set of routines, version 2.0 for OSSOS -c -c Based on SurveySim.f from CFEPS, as of 2013-01-15 -c -c Improvements include use of new efficiency and pointings file format, -c various efficiency functions for a given pointing as a function of rate of -c motion and colors for simulated objects such that surveys have not been -c shifted in magnitude to a common filter. -c -c 2013-04-26: Modified GetSurvey, read_sur and read_eff to read in new -c efficiency and pointings files. -c Modified eta_raw to support multiple efficiency functions as -c functions of rate of motion. -c Modified detect1 to add a 'color' array in the argument list to -c account for colors of objects and various filters used in the -c surveys, and change the sequence of rejections to: -c - Check app. mag. against limiting mag. -c - Check FOV -c - Check for filling factor -c - Check rate of motion -c - Check efficiency on randomized mag. -c - Check for tracking -c -c 2013-05-03: Added two more arguments at end of list of detect1: 'ic' for the -c index of the color of the detection filter, and 'surna', a -c 3-character string with the name of the survey that detected the -c object. -c Updated content of efficiency files for CFEPS to eliminate -c remaining inconsistancies. -c -c 2013-05-08: Changed name of entry subroutine from detect1 to detos1. -c -c 2013-07-01: Modified API for detos1 to return a single COMMENTS string -c argument and an integer NCHAR specifying how many characeter to -c output. -c -c 2013-09-18: Changed API of detos1 to return intrinsic mag and averaged -c randomized mag instead of randomized mag and dmag. -c Changed algorithm to check efficiency based on intrinsic -c mag, using full efficiency function down to 1%, and finally -c reject object if averaged randomized mag is fainter than -c 40% limit. -c Discarded use of eta_trust. -c -c 2015-01-12: Changed API of detos1 to return surmized absolute magnitude -c obtained from averaged randomized mag. Hx and m_int are returned -c in the band filter used for the H distribution (X), while m_rand -c and H_rand are returned in the band filter of the survey the -c object is detected in. -c -c 2016-03-16: Changed detos1 to use 'poly', 'ears' or 'rect' labels instead of -c the old width and height numbers in pointings.list to define the -c FOV footprint. This allows for general polygons, or 40 CCD -c MegaPrime specific FOV. The routine is still compatible with the -c old input files. -c -c 2016-05-04: Continue looping on pointings until object is detected, -c characterized and tracked. Don't stop at first detection. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c File generated on 2017-01-12 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* - - subroutine Detos1 (a, e, inc, node, peri, mt0, jday, hx, color, - $ gb, ph, period, amp, surnam, seed, flag, ra, dec, d_ra, d_dec, - $ r, delta, m_int, m_rand, eff, isur, mt, jdayp, ic, surna, - $ h_rand) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine determines if a given object is seen by the survey -c described in the directory \verb|surnam|. -c An object is described by its ecliptic (J2000) barycentric osculating -c elements given at time \verb|jday|. -c This version uses polygons to describe the footprint of the block on -c the sky. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J.-M. Petit Observatoire de Besancon -c Version 1 : January 2006 -c Version 2 : May 2013 -c Version 3 : March 2016 -c Version 4 : May 2016 -c Changed API to remove size of arrays, added parameter -c statement to define array sizes (in include file). -c Continue looping on pointings until object is detected, -c characterized and tracked. Don't stop at first detection. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c a : Semi-major axis [AU] (R8) -c e : Eccentricity (R8) -c inc : Inclination [rad] (R8) -c node : Longitude of node [rad] (R8) -c peri : Argument of perihelion [rad] (R8) -c mt0 : Mean anomaly [rad] (R8) -c jday : Time of elements [JD] (R8) -c hx : Absolute magnitude of object in 'x' band, what ever this is (R8) -c color : Array of colors (10*R8) -c colors(1) : g-x -c colors(2) : r-x -c colors(3) : i-x -c colors(4) : z-x -c colors(5) : u-x -c colors(6) : V-x -c colors(7) : B-x -c colors(8) : R-x -c colors(9) : I-x -c gb : opposition surge factor G, Bowell formalism (R8) -c ph : phase of lightcurve at epoch jday [rad] (R8) -c period: period of lightcurve [day] (R8) -c amp : amplitude of lightcurve [mag] (R8) -c surnam: Survey directory name (CH) -c -c OUTPUT -c seed : Random number generator seed (I4) -c flag : Return flag (I4): -c 0: not found -c 1: found, but not tracked -c 2: found and tracked -c 3: characterized, but not tracked -c 4: characterized and tracked -c ra : Right ascension at detection [rad] (R8) -c dec : Declination at detection [rad] (R8) -c d_ra : Right ascension rate [rad/day] (R8) -c d_dec : Declination rate [rad/day] (R8) -c r : Sun-object distance [AU] (R8) -c delta : Earth-object distance [AU] (R8) -c m_int : Intrinsic apparent magnitude, in x-band (R8) -c m_rand: Averaged randomized magnitude, in detection filter (R8) -c eff : Actual efficiency of detection (R8) -c isur : Identification number of survey the object was in (I4) -c mt : Mean anomaly at discovery [rad] (R8) -c jdayp : Time of discovery [JD] (R8) -c ic : Index of color used for survey (I4) -c surna : Detection survey name (CH10) -c h_rand: Absolute randomized magnitude, in detection filter (R8) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c Set of F2PY directive to create a Python module -c -Cf2py intent(in) a -Cf2py intent(in) e -Cf2py intent(in) inc -Cf2py intent(in) node -Cf2py intent(in) peri -Cf2py intent(in) mt0 -Cf2py intent(in) jday -Cf2py intent(in) hx -Cf2py intent(in) color -Cf2py intent(in) gb -Cf2py intent(in) ph -Cf2py intent(in) period -Cf2py intent(in) amp -Cf2py intent(in) surnam -Cf2py intent(in,out) seed -Cf2py intent(out) flag -Cf2py intent(out) ra -Cf2py intent(out) dec -Cf2py intent(out) d_ra -Cf2py intent(out) d_dec -Cf2py intent(out) r -Cf2py intent(out) delta -Cf2py intent(out) m_int -Cf2py intent(out) m_rand -Cf2py intent(out) eff -Cf2py intent(out) isur -Cf2py intent(out) mt -Cf2py intent(out) jdayp -Cf2py intent(out) ic -Cf2py intent(out) surna -Cf2py intent(out) h_rand - - implicit none - - include 'param.inc' - - integer*4 - $ screen, keybd, verbose, lun_s, lun_h - - parameter - $ (screen = 6, keybd = 5, verbose = 9, - $ lun_s = 13, lun_h = 6) - - real*8 - $ a, e, inc, node, peri, mt, hx, h, jday, pos(3), m_int, m_rand, - $ r, delta, alpha, ra, dec, pos2(3), r2, ra2, dec2, h_rand, - $ sur_pl(2,n_e_max,n_sur_max), - $ sur_jday(n_sur_max), sur_ff(n_sur_max), - $ sur_x(n_sur_max), sur_y(n_sur_max), sur_z(n_sur_max), - $ sur_r(n_sur_max), sur_x2(n_sur_max), sur_y2(n_sur_max), - $ sur_z2(n_sur_max), sur_r2(n_sur_max), sur_jday2(n_sur_max), - $ sur_eff_b(n_bin_max, n_r_max, n_sur_max), - $ sur_eff_m(n_bin_max, n_r_max, n_sur_max), - $ sur_mmag(n_sur_max), sur_rt(2, n_r_max, n_sur_max), - $ sur_rn(n_sur_max), sur_rx(n_sur_max), sur_an(n_sur_max), - $ sur_aw(n_sur_max), sur_tm(n_sur_max), sur_ts(n_sur_max), - $ sur_ta(n_sur_max), sur_dm(6,n_sur_max), sur_ph(3,n_sur_max), - $ sur_ml(n_r_max, n_sur_max), mag_err(6), photf(3), color(*), - $ maglim, width, height, ra_p, dec_p, jdayp, ff, - $ obspos(3), ros, obspos2(3), ros2, mag_max, mag_faint, random, - $ eta, track, jday_o, mt0, jdayp2, tmp, eff_lim, - $ d_ra, d_dec, r_min, r_max, ang, ang_w, - $ track_max, track_mag, track_slope, angle, rate, delta2, - $ mag_peri, dmag, eff, ran3, gb, ph, period, amp, - $ poly(2,n_e_max), p(2), ra_l, dec_l, d_ra_l, d_dec_l, r_l, - $ delta_l, m_int_l, m_rand_l, eff_l, mt_l, jdayp_l - - integer*4 - $ sur_code(n_sur_max), sur_eff_n(n_r_max, n_sur_max), - $ sur_nr(n_sur_max), sur_ne(n_sur_max), sur_f(n_sur_max), i, - $ filt_i, ic, n_e, point_in_polygon, flag_l, - $ n_sur, i_sur, ierr, seed, incode, outcod, flag, isur, nph - - character - $ surnam*(*), sur_eff(n_sur_max)*80, stra*13, stdec*13, surna*10 - - logical - $ debug, newpos, rate_ok, first - - external - $ eta, ran3 - - data - $ first /.true./, - $ debug /.false./, - $ eff_lim /0.4d0/ - - save - - flag = 0 - flag_l = 0 - - if (first) then - first = .false. - -c Opens and reads in survey definitions - call GetSurvey (surnam, lun_s, - $ n_sur, sur_pl, sur_ne, sur_jday, sur_ff, - $ sur_code, sur_x, sur_y, sur_z, sur_r, sur_jday2, - $ sur_x2, sur_y2, sur_z2, sur_r2, sur_eff, sur_nr, sur_rt, - $ sur_eff_n, sur_eff_b, sur_eff_m, sur_mmag, sur_rn, sur_rx, - $ sur_an, sur_aw, sur_ta, sur_tm, sur_ts, sur_dm, sur_ph, - $ sur_ml, sur_f, ierr) - if (ierr .ne. 0) then - if (ierr .eq. 100) then - write (screen, *) - $ 'GetSurvey: reached maximum number of pointings, ', - $ n_sur - else if (ierr .eq. 10) then - write (screen, *) - $ 'Unable to open survey file in ',surnam - else if (ierr .eq. 30) then - goto 100 - else - write (screen, *) 'Unknown return code in read_sur.' - end if - stop - end if - 100 continue -c Determine overall faintest 'x' magnitude for all surveys - mag_faint = 0.d0 - do i_sur = 1, n_sur -c sur_mmag(i_sur) in survey's filter -c mag_max in 'x' filter - mag_max = sur_mmag(i_sur) - color(sur_f(i_sur)) - if (mag_max .gt. mag_faint) mag_faint = mag_max - if (debug) then - write (verbose, *) i_sur, mag_max, mag_faint - end if - end do - if (debug) then - write (verbose, *) 'Faintest magnitude = ', mag_faint - end if -c stop - end if - -c Compute approximate maximum apparent 'x' magnitude - r_l = a*(1.d0 - e) - h = hx - amp*0.5d0 -c mag_peri in 'x' filter - call AppMag (r_l, r_l-1.d0, 1.d0, h, gb, alpha, mag_peri, ierr) - - if (mag_peri .le. mag_faint) then - jday_o = -1.d30 - -c loop on surveys - do i_sur = 1, n_sur - obspos(1) = sur_x(i_sur) - obspos(2) = sur_y(i_sur) - obspos(3) = sur_z(i_sur) - ros = sur_r(i_sur) - jdayp_l = sur_jday(i_sur) - obspos2(1) = sur_x2(i_sur) - obspos2(2) = sur_y2(i_sur) - obspos2(3) = sur_z2(i_sur) - ros2 = sur_r2(i_sur) - jdayp2 = sur_jday2(i_sur) - ff = sur_ff(i_sur) - r_min = sur_rn(i_sur) - r_max = sur_rx(i_sur) - ang = sur_an(i_sur) - ang_w = sur_aw(i_sur) - track_max = sur_ta(i_sur) - track_mag = sur_tm(i_sur) - track_slope = sur_ts(i_sur) - filt_i = sur_f(i_sur) - do i = 1, 6 - mag_err(i) = sur_dm(i,i_sur) - end do - do i = 1, 3 - photf(i) = sur_ph(i,i_sur) - end do - n_e = sur_ne(i_sur) - do i = 1, n_e+1 - poly(1,i) = sur_pl(1,i,i_sur) - poly(2,i) = sur_pl(2,i,i_sur) - end do - -c Quick and dirty trick to avoid some objects on not too faint surveys: -c drop objects that are fainter, at pericenter, and as seen from the -c Sun, than the faintest magnitude recorded for that survey, in 'x' -c band. -c mag_max in 'x' filter - mag_max = sur_mmag(i_sur) - color(filt_i) - -c Any chance this survey can see the object ? -c mag_peri in 'x' filter - if (mag_peri .le. mag_max) then - - newpos = .false. - if (abs(jdayp_l-jday_o) .gt. 0.1d0) then -c $\Delta M = \sqrt(k^2 M_tot/a^3) \Delta t$ -c where $M_tot$ is the total mass of the system, and -c $k^2 = (2 \Pi / 365.25)^2$ - mt_l = mt0 + sqrt(gmb) - $ *(twopi/(a**1.5d0*365.25d0))*(jdayp_l-jday) - mt_l = mt_l - int(mt_l/twopi)*twopi - call pos_cart (a, e, inc, node, peri, mt_l, pos(1), - $ pos(2), pos(3)) - jday_o = jdayp_l - newpos = .true. - end if - if (debug) then - write (verbose, *) 'Survey: ', i_sur - write (verbose, *) pos(1), pos(2), pos(3), jday, - $ jday_o - write (verbose, *) obspos(1), obspos(2), obspos(3), - $ jdayp_l - write (verbose, *) obspos2(1), obspos2(2), obspos2(3), - $ jdayp2 - end if - call DistSunEcl (jdayp_l, pos, r_l) - call RADECeclXV (pos, obspos, delta_l, ra_l, dec_l) - p(1) = ra_l - p(2) = dec_l -c Get mag in actual survey filter. - h = hx + color(filt_i) - if ((amp .gt. 0.d0) .and. (period .gt. 0.d0)) then - h = h + amp*0.5d0*sin((jdayp_l-jday)/period*twopi+ph) - end if -c mag in survey's filter - call AppMag (r_l, delta_l, ros, h, gb, alpha, m_int_l, - $ ierr) - if (ierr .ne. 0) then - write (screen, *) 'AppMag: something''s wrong !' - write (screen, *) 'ierr = :', ierr - write (screen, *) 'Survey number: ', i_sur - stop - end if - -c Format angles for output - if (debug) then - incode = 1 - outcod = 1 - call Format (ra_l, incode, outcod, stra, ierr) - if (ierr .ne. 0) then - write (screen, *) 'Error in formatting output.' - write (screen, *) 'ierr = ', ierr - stop - end if - outcod = 0 - call Format (dec_l, incode, outcod, stdec, ierr) - if (ierr .ne. 0) then - write (screen, *) 'Error in formatting output.' - write (screen, *) 'ierr = ', ierr - stop - end if - write (verbose, - $ '(3(f8.3, 1x), a13, 1x, a13)') - $ mt0/drad, peri/drad, node/drad, - $ stra, stdec - write (verbose, *) ra_l/drad, dec_l/drad, m_int_l, - $ mag_max - end if - -c Still any chance to see it (comparison in survey filter band) ? -c sur_mmag(i_sur) in survey's filter -c mag in survey's filter - if (m_int_l .le. sur_mmag(i_sur)) then - -c Is the object in the FOV ? -c -c Here we use polygons. - ierr = point_in_polygon(p, poly, n_e) - if (debug) then - write (verbose, *) 'Check for FOV.' - write (verbose, *) n_e, ierr - do i = 1, n_e+1 - write (verbose, *) poly(1,i)/drad, poly(2,i) - $ /drad - end do - end if - if (ierr .gt. 0) then - -c Check for chip gaps, ..., the filling factor. - random = ran3(seed) - if (debug) then - write (verbose, *) - $ 'In FOV of survey. Check filling factor.' - write (verbose, *) random, ff - end if - if (random .le. ff) then - -c Well, how is its rate of motion ? Within the rate cut or not ? - mt_l = mt0 + (twopi/(a**1.5d0*365.25d0))*(jday_o - $ + jdayp2 - jdayp_l - jday)*sqrt(gmb) - mt_l = mt_l - int(mt_l/twopi)*twopi - call pos_cart (a, e, inc, node, peri, mt_l, - $ pos2(1), pos2(2), pos2(3)) - call DistSunEcl (jdayp2, pos2, r2) - call RADECeclXV (pos2, obspos2, delta2, ra2, - $ dec2) - if (debug) then - write (verbose, *) - $ 'Check for second position.' - write (verbose, *) mt_l - write (verbose, *) pos2(1), pos2(2), pos2(3) - write (verbose, *) delta2, ra2/drad,dec2/drad - end if - d_ra_l = ra_l - ra2 - if (d_ra_l .gt. Pi) d_ra_l = d_ra_l - TwoPi - if (d_ra_l .lt. -Pi) d_ra_l = d_ra_l + TwoPi - d_ra_l = d_ra_l/(jdayp2 - jdayp_l)*dcos(dec_l) - d_dec_l = (dec2 - dec_l)/(jdayp2 - jdayp_l) - rate = dsqrt(d_ra_l**2 + d_dec_l**2) - angle = atan2(d_dec_l/rate, d_ra_l/rate) - if (angle .lt. -Pi) angle = angle + TwoPi - if (angle .gt. Pi) angle = angle - TwoPi - rate_ok = (rate .ge. r_min) - $ .and. (rate .le. r_max) - rate_ok = rate_ok .and. - $ (dabs(ang - angle) .le. ang_w) - if (debug) then - write (verbose, *) 'Check for rate.' - write (verbose, *) rate/drad*3600.d0/24.d0, - $ r_min/drad*3600.d0/24.d0, - $ r_max/drad*3600.d0/24.d0 - write (verbose, *) angle/drad, - $ ang/drad, ang_w/drad - write (verbose, *) pos2(1), pos2(2), pos2(3) - end if - if (rate_ok) then - -c Now check for the efficiency - eff_l = eta(sur_rt(1,1,i_sur), - $ sur_nr(i_sur), sur_eff_n(1,i_sur), - $ sur_eff_b(1,1,i_sur), sur_eff_m(1,1,i_sur), - $ m_int_l, rate, sur_ml(1,i_sur), maglim) - random = ran3(seed) - if (debug) then - write (verbose, *) - $ 'Rate OK. Check detection.' - write (verbose, *) random, eff_l, maglim - end if - if (random .le. eff_l) then -c Compute "measured" magnitude with 1 to 3 averaged values - random = ran3(seed) - call magran (m_int_l, mag_err, seed, tmp, - $ dmag) - m_rand_l = tmp - if (random .gt. photf(1)) then - call magran (m_int_l, mag_err, seed, - $ tmp, dmag) - m_rand_l = (m_rand_l + tmp)/2.d0 - end if - if (random .gt. photf(1)+photf(2)) then - call magran (m_int_l, mag_err, seed, - $ tmp, dmag) - m_rand_l = (2.d0*m_rand_l + tmp)/3.d0 - end if -c Determine efficiency of detection for that magnitude - eff_l = eta(sur_rt(1,1,i_sur), - $ sur_nr(i_sur), sur_eff_n(1,i_sur), - $ sur_eff_b(1,1,i_sur), - $ sur_eff_m(1,1,i_sur), m_rand_l, rate, - $ sur_ml(1,i_sur), maglim) -c Hurray ! We found it. - flag_l = 1 - if (debug) then - write (verbose, *) - $ 'Hurray ! We found it.' - end if - -c Determine if tracked - random = ran3(seed) - track = min(track_max, - $ 1.d0 + (m_rand_l - track_mag) - $ *track_slope) - if (debug) then - write (verbose, *) - $ 'Checking for track. ', random, - $ track - end if - if (random .le. track) then - flag_l = 2 - end if -c Decide if characterized or not - if (debug) then - write (verbose, *) - $ 'Checking for characterization. ', - $ m_rand_l, maglim, eff_l, eff_lim - end if - if (maglim .gt. 0.d0) then - if (m_rand_l .le. maglim) - $ flag_l = flag_l + 2 - else - if (eff_l .ge. eff_lim) - $ flag_l = flag_l + 2 - end if -c Record what needs to be recorded. - if (flag_l .gt. flag) then - isur = i_sur - surna = sur_eff(i_sur) - $ (1:min(len(surna),len(sur_eff(1)))) -c Converting intrinsic magnitude to 'x' band, keeping apparent -c magnitude in discovery filter - ic = filt_i - m_int = m_int_l - color(ic) - m_rand = m_rand_l - r = r_l - delta = delta_l - call AbsMag (r, delta, ros, m_rand, gb, - $ alpha, h_rand, ierr) - if (ierr .ne. 0) then - write (screen, *) - $ 'AbsMag: something''s wrong !' - write (screen, *) 'ierr = :', ierr - write (screen, *) 'Survey number: ', - $ i_sur - stop - end if - if (debug) then - write (verbose, *) - $ 'All is good, h_rand.' - write (verbose, *) r, delta - write (verbose, *) - $ m_rand, alpha, h_rand - end if - flag = flag_l - ra = ra_l - dec = dec_l - d_ra = d_ra_l - d_dec = d_dec_l - eff = eff_l - mt = mt_l - jdayp = jdayp_l - end if -c We got it, and we know if it was tracked and/or characterized. -c Return if tracked and characterized, otherwise keep looping. - if (flag .ge. 4) return - else -c write (6, *) 'Low efficiency: ', a, eff_l, -c $ random, m_int_l, rate - end if - else -c write (6, *) 'Rate out of range: ', a, r_min, -c $ r_max, rate, ang_w, dabs(ang - angle) - end if - else -c write (6, *) 'Falling in chip gaps: ', a, -c $ ff, random - end if - end if - else -c write (6, *) 'Too faint for this survey: ', a, i_sur, -c $ sur_mmag(i_sur), m_int_l, hx, filt_i, color(filt_i) - end if - else -c write (6, *) 'Too faint (peri) for this survey: ', a, -c $ i_sur, mag_max, mag_peri, hx, filt_i, color(filt_i) - end if - -c End loop on surveys - end do - else -c write (6, *) 'Too faint (peri) for all surveys: ', a, -c $ mag_faint, mag_peri, hx, filt_i, color(filt_i) - end if - - return - - end - - subroutine AppMag (r, delta, robs, h, g, alpha, mag, ierr) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine computes phase angle and apparent magnitude. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : February 2004 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c r : Sun-object distance (R8) -c delta : Earth-object distance (R8) -c robs : Sun-Earth distance (R8) -c h : Absolute magnitude of object (R8) -c g : Slope of object (R8) -c -c OUTPUT -c alpha : Phase angle (R8) -c mag : Apparent magnitude (R8) -c ierr : Error code -c 0 : nominal run -c 10 : wrong input data -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) r -Cf2py intent(in) delta -Cf2py intent(in) robs -Cf2py intent(in) h -Cf2py intent(in) g -Cf2py intent(out) alpha -Cf2py intent(out) mag -Cf2py intent(out) ierr - - implicit none - - integer - $ ierr - - real*8 - $ r, delta, robs, h, g, alpha, mag, denom, phi1, phi2 - - ierr = 0 - denom = 2.d0*r*delta - if (denom .eq. 0.d0) then - ierr = 10 - return - end if - alpha = dacos(dmin1((-robs**2 + delta**2 + r**2)/denom,1.d0)) - phi1 = exp(-3.33d0*(dtan(alpha/2.0d0))**0.63d0) - phi2 = exp(-1.87d0*(dtan(alpha/2.0d0))**1.22d0) - mag = 5.d0*dlog10(r*delta) + h - $ - 2.5d0*dlog10((1.d0 - g)*phi1 + g*phi2) -c write (6, '(7(f10.4,1x))') -c $ r, delta, robs, alpha, h, mag, -c $ 2.5d0*dlog10((1.d0 - g)*phi1 + g*phi2) - - return - end - - subroutine AbsMag (r, delta, robs, mag, g, alpha, h, ierr) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine computes phase angle and absolute magnitude. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : May 2014 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c r : Sun-object distance (R8) -c delta : Earth-object distance (R8) -c robs : Sun-Earth distance (R8) -c mag : Apparent magnitude (R8) -c g : Slope of object (R8) -c -c OUTPUT -c alpha : Phase angle (R8) -c h : Absolute magnitude of object (R8) -c ierr : Error code -c 0 : nominal run -c 10 : wrong input data -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) r -Cf2py intent(in) delta -Cf2py intent(in) robs -Cf2py intent(in) mag -Cf2py intent(in) g -Cf2py intent(out) alpha -Cf2py intent(out) h -Cf2py intent(out) ierr - - implicit none - - integer - $ ierr - - real*8 - $ r, delta, robs, h, g, alpha, mag, mag0 - - h = 0.d0 - call AppMag (r, delta, robs, h, g, alpha, mag0, ierr) - if (ierr .ne. 0) then - write (6, *) 'AppMag: something''s wrong !' - write (6, *) 'ierr = :', ierr - stop - end if - h = mag - mag0 - - return - end - - subroutine Format (angle, incode, outcod, string, ierr) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine formats an angle (in rd) into deg, min, sec or hour, min, -c sec. Output is a string. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : September 2003 -c Version 2 : March 2004 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c angle : angle to format, radians (r8) -c incode: 1 input in radian; 0 input in decimal degrees (i) -c outcod: 1 converts to hours,min,sec; 0 converts to deg.,min,sec (i) -c -c OUTPUT -c string: Output string (CH) -c ierr : Error code -c 0 : nominal run -c 10 : input data code -c 20 : wrong conversion code -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c Set of F2PY directive to create a Python module -c -Cf2py intent(in) angle -Cf2py intent(in) incode -Cf2py intent(in) outcod -Cf2py intent(out) string -Cf2py intent(out) ierr - - implicit none - - integer - $ deg, mn, ierr, incode, outcod, si - - real*8 - $ angle, sec, Pi, raddeg, rm, w - - character - $ string*13 - - parameter - $ (Pi = 3.141592653589793238d0, raddeg = 180.0d0/Pi) - - ierr = 0 - if (incode .eq. 1) then - w = angle*raddeg - else if (incode .eq. 0) then - w = angle - else - ierr = 10 - return - end if - if (outcod .eq. 1) then - w = w/15.d0 - else if (outcod .ne. 0) then - ierr = 20 - return - end if - if (w .lt. 0.d0) then - si = -1 - w = abs(w) - else - si = 1 - end if - deg = int(w) - rm = (w - deg)*60.d0 - mn = int(rm) - sec = (rm - mn)*60.d0 - write (string, '(i4.2, 1x, i2.2, 1x, f5.2)') deg, mn, sec - if (string(9:9) .eq. ' ') string(9:9) = '0' - if (string(10:10) .eq. ' ') string(10:10) = '0' - if (si .eq. -1) then - if (deg .ge. 100) then - string(1:1) = '-' - else - string(2:2) = '-' - end if - end if - deg = si*deg - - return - end - - subroutine dgauss (i, y) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine gives a random value with gaussian probability, with 0 -c mean and standard deviation 1. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : January 1990 -c Version 2 : January 2007 -c Modified to use RAN3 as random number generator rather -c than PSALUN because it has a much longer periodicity. -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c i : Seed for random number generator (I4) -c -c OUTPUT -c y : Random value (R8) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in,out) i -Cf2py intent(out) y - - integer*4 - $ compte, i - - real*8 - $ pi, x1, x2, y, y1, y2, ran3 - - external ran3 - - data - 1 compte /0/, - 1 pi /3.141592653589793238d0/ - - save x1, x2, compte, pi - - if (compte.eq.0) then - y1=ran3(i) - y2=ran3(i) - y1=dsqrt(-2.*dlog(y1)) - y2=2.*pi*y2 - x1=y1*dcos(y2) - x2=y1*dsin(y2) - compte=1 - y=x1 - else - compte=0 - y=x2 - end if - - return - end - - subroutine magran (mag_t, mag_er, seed, mag, magerr) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine gives a randomized value of the magnitude given the -c theoretical magnitude and parameters to compute the uncertainty. -c -c Version 2 -c This works for uncertainties given by the measurement on 1 frame only. -c Shouldn't try to combine several frame to estimate the error as this -c mostly account for zeropoint uncertainty and lightcurve. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : January 2006 -c Version 2 : October 2006 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c mag_t : Theoretical magnitude of object (R8) -c mag_er: Magnitude error parameters (6,n*R8) -c seed : Seed for random number generator (I4) -c -c OUTPUT -c mag : Randomized magnitude (R8) -c magerr: Magnitude uncertainty (R8) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) mag_t -Cf2py intent(in) mag_er -Cf2py intent(in,out) seed -Cf2py intent(out) mag -Cf2py intent(out) magerr - - implicit none - - real*8 - $ mag_t, mag_er(*), magerr, mag, tmp, mag_th, ran3 - - integer*4 - $ seed, i - - external ran3 - - mag_th = mag_t -c tmp = log10(mag_er(2)/mag_er(1))/(mag_er(3)-21.d0) - if (mag_th .le. 21.d0) then - magerr = mag_er(1) - else if (mag_th .le. mag_er(3)) then -c magerr = mag_er(1)*10.d0**(tmp*(mag_th-21.d0)) - magerr = mag_er(1)*10.d0**(mag_er(2)*(mag_th-21.d0)) - else -c magerr = max(mag_er(1)*10.d0**(tmp*(mag_er(3)-21.d0)) - magerr = max(mag_er(1)*10.d0**(mag_er(2)*(mag_er(3)-21.d0)) - $ - (mag_th - mag_er(3))*mag_er(4), 0.d0) - end if -c call dgauss(seed, tmp) - tmp = ran3(seed) - if (tmp .le. 0.5) then - tmp = sqrt(6.d0)*(sqrt(2.d0*tmp) - 1.d0) - else - tmp = sqrt(6.d0)*(1.d0 - sqrt(2.d0*(1.d0-tmp))) - end if - mag = mag_th + magerr*tmp -c write (19, *) (mag_er(i), i=1,6) -c write (19, *) mag_th, magerr, tmp, mag - if (mag_th .gt. mag_er(5)) then - mag = mag + (mag_th - mag_er(5))*mag_er(6) - end if -c write (19, *) mag -c write (19, '(4(f6.3, 1x), i10)') mag_th, magerr, tmp, mag, seed - - return - - end - - include 'GetSurvey.f' - - subroutine LatLong (pos, long, lat, r) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine transforms cartesian coordinates into longitude, -c latitute and distance (almost spherical coordinates). If the input -c cordinates are in ICRF, then one obtains the RA and DEC -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : September 2003 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c pos : Object's cartesian coordinates -c -c OUTPUT -c long : Longitude (RA if ICRF) -c lat : Latitude (DEC if ICRF) -c r : Distance to center -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) pos -Cf2py intent(out) long -Cf2py intent(out) lat -Cf2py intent(out) r - - implicit none - - real*8 - $ pos(3), lat, long, r, Pi, TwoPi - - parameter - $ (Pi = 3.141592653589793238d0, TwoPi = 2.d0*Pi) - - r = dsqrt (pos(1)**2 + pos(2)**2 + pos(3)**2) - long = datan2(pos(2), pos(1)) - if (long .lt. 0.d0) long = long + TwoPi - lat = asin(pos(3)/r) - - return - end - - subroutine RADECeclXV (pos, obspos, delta, ra, dec) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine computes the RA and DEC of an object, defined by its -c barycentric ecliptic cartesian coordinates, with respect to an -c observatory, defined by its ICRF cartesian coordinates. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : February 2004 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c pos : Object barycentric ecliptic cartsian coordinates (3*R8) -c obspos: Observatory ICRF cartsian coordinates (3*R8) -c -c OUTPUT -c delta : Distance to observatory (R8) -c ra : Right Ascension (R8) -c dec : Declination (R8) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -Cf2py intent(in) pos -Cf2py intent(in) obspos -Cf2py intent(out) delta -Cf2py intent(out) ra -Cf2py intent(out) dec - - implicit none - - real*8 - $ obspos(3), ra, dec, pos(3), opos(3), delta - - integer*4 - $ ierr - -c Compute ICRF cartesian coordinates - call equat_ecl (-1, pos, opos, ierr) - if (ierr .ne. 0) then - write (6, *) 'Problem in conversion ecliptic -> equatorial' - end if - -c Compute RA and DEC - opos(1) = opos(1) - obspos(1) - opos(2) = opos(2) - obspos(2) - opos(3) = opos(3) - obspos(3) - call LatLong (opos, ra, dec, delta) - - return - - end - - real*8 FUNCTION ran3(idum) -Cf2py intent(in,out) idum - INTEGER idum - INTEGER MBIG,MSEED,MZ -C REAL MBIG,MSEED,MZ - REAL*8 FAC - PARAMETER (MBIG=1000000000,MSEED=161803398,MZ=0,FAC=1.d0/MBIG) -C PARAMETER (MBIG=4000000.,MSEED=1618033.,MZ=0.,FAC=1./MBIG) - INTEGER i,iff,ii,inext,inextp,k - INTEGER mj,mk,ma(55) -C REAL mj,mk,ma(55) - SAVE iff,inext,inextp,ma - DATA iff /0/ - if(idum.lt.0.or.iff.eq.0)then - iff=1 - mj=abs(MSEED-abs(idum)) - mj=mod(mj,MBIG) - ma(55)=mj - mk=1 - do 11 i=1,54 - ii=mod(21*i,55) - ma(ii)=mk - mk=mj-mk - if(mk.lt.MZ)mk=mk+MBIG - mj=ma(ii) -11 continue - do 13 k=1,4 - do 12 i=1,55 - ma(i)=ma(i)-ma(1+mod(i+30,55)) - if(ma(i).lt.MZ)ma(i)=ma(i)+MBIG -12 continue -13 continue - inext=0 - inextp=31 - idum=1 - endif - inext=inext+1 - if(inext.eq.56)inext=1 - inextp=inextp+1 - if(inextp.eq.56)inextp=1 - mj=ma(inext)-ma(inextp) - if(mj.lt.MZ)mj=mj+MBIG - ma(inext)=mj - ran3=mj*FAC - return - END - - subroutine zero2pi (var) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c This function resets variable 'var' to be between 0 and 2pi -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c B. Gladman UBC -c Version 1 : January 2007 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c INPUT/OUPUT -c var : Variable to reset to be between 0 and 2*Pi (R8) -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c Set of F2PY directives to create a Python module -c -Cf2py intent(in,out) var - - implicit none - -c Calling arguments - real*8 var - -cSome values better set up as parameters - real*8 - $ Pi, ! Pi - $ TwoPi ! 2*Pi -c Set the values - parameter - $ (Pi = 3.141592653589793238d0, TwoPi = 2.0d0*Pi) - - 771 if (var .gt. TwoPi) then - var = var - TwoPi - goto 771 - endif - 772 if (var .lt. 0.0d0) then - var = var + TwoPi - goto 772 - endif - return - end - - subroutine cal2jul (iyyy, mm, dd, jul) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine computes the Julian Day from time given in -c Year, Month, Day (decimal). -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J-M. Petit Observatoire de Besancon -c Version 1 : October 2003 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c iyyy : Year (I4) -c mm : Month (I4) -c dd : Decimal Day (R8) -c -c OUTPUT -c mjd : Julian Day (R8) -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c Set of F2PY directives to create a Python module -c -Cf2py intent(in) iyyy -Cf2py intent(in) mm -Cf2py intent(in) dd -Cf2py intent(out) jul - - implicit none - - integer*4 mm, iyyy, id, julday, juld - real*8 dd, idfrac, jul - - external julday - - id = INT(dd) - idfrac = dd - id - juld = julday(mm, id, iyyy) - if (idfrac .lt. 0.5d0) then - juld = juld - 1 - idfrac = idfrac + 0.5d0 - else - idfrac = idfrac - 0.5d0 - end if - jul = juld + idfrac - - return - end - - integer*4 FUNCTION JULDAY(MM,ID,IYYY) - - implicit none - - integer*4 igreg, mm, id, iyyy, jy, jm, ja - - PARAMETER (IGREG=15+31*(10+12*1582)) - - IF (IYYY.EQ.0) stop 'There is no Year Zero.' - IF (IYYY.LT.0) IYYY=IYYY+1 - IF (MM.GT.2) THEN - JY=IYYY - JM=MM+1 - ELSE - JY=IYYY-1 - JM=MM+13 - ENDIF - JULDAY=INT(365.25*JY)+INT(30.6001*JM)+ID+1720995 - IF (ID+31*(MM+12*IYYY).GE.IGREG) THEN - JA=INT(0.01*JY) - JULDAY=JULDAY+2-JA+INT(0.25*JA) - ENDIF - RETURN - END - - subroutine ObjAbs (a, e, inc, node, peri, tperi, jday, mag, - $ code, gb, alpha, h, ra, dec, ierr) - -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c This routine determines the absolute magnitude of an object and its -c sky position (RA, DEC) given its orbital elements (Berstein & -c Kushalani format), measured magnitude and epoch of observation. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c J.-M. Petit Observatoire de Besancon -c Version 1 : May 2014 -c -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c INPUT -c a : Semi-major axis [AU] (R8) -c e : Eccentricity (R8) -c inc : Inclination [rad] (R8) -c node : Longitude of node [rad] (R8) -c peri : Argument of perihelion [rad] (R8) -c tperi : Time of perihelion passage [JD] (R8) -c jday : Epoch of observation [JD] (R8) -c mag : Apparent magnitude of object (R8) -c code : Observatory code (I4) -c 001 : GAIA -c 002 : Geocentric, Mignard's code -c 500 : Geocentric -c gb : opposition surge factor, Bowell formalism (R8) -c -c OUTPUT -c alpha : Phase angle [rad] (R8) -c h : Absolute magnitude of object (R8) -c ra : Right Ascension (R8) -c dec : Declination (R8) -c ierr : Error code (I4) -c 0 : nominal run -c 10 : wrong input data -c 100 : date of call earlier than xjdbeg -c 200 : date of call later than xjdend -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- -c -c Set of F2PY directive to create a Python module -c -Cf2py intent(in) a -Cf2py intent(in) e -Cf2py intent(in) inc -Cf2py intent(in) node -Cf2py intent(in) peri -Cf2py intent(in) tperi -Cf2py intent(in) jday -Cf2py intent(in) mag -Cf2py intent(in) gb -Cf2py intent(out) alpha -Cf2py intent(out) h -Cf2py intent(out) ra -Cf2py intent(out) dec -Cf2py intent(out) ierr - - implicit none - - real*8 - $ Pi, TwoPi, drad - - integer*4 - $ screen - - parameter - $ (Pi = 3.141592653589793238d0, TwoPi = 2.0d0*Pi, - $ drad = Pi/180.0d0, screen = 6) - - real*8 - $ gmb - - parameter - $ (gmb = 1.d0+1.d0/6023600.0d0+1.d0/408523.71d0 - $ +1.d0/328900.56d0+1.d0/3098708.0d0+1.d0/1047.3486d0 - $ +1.d0/3497.898d0+1.d0/22902.98d0+1.d0/19412.24d0 - $ +1.d0/1.35d8) - - real*8 - $ a, e, inc, node, peri, tperi, mt, h, jday, pos(3), - $ r, delta, alpha, ra, dec, obpos(3), ros, gb, tmp(3), - $ mag - - integer*4 - $ ierr, code - - save - - call ObsPos (code, jday, obpos, tmp, ros, ierr) - if (ierr .ne. 0) then - write (screen, *) - $ 'Error while computing observatory''s position.' - write (screen, *) 'ierr = ', ierr - return - end if -c $\Delta M = \sqrt(k^2 M_tot/a^3) \Delta t$ -c where $M_tot$ is the total mass of the system, and -c $k^2 = (2 \Pi / 365.25)^2$ - mt = (twopi/(a**1.5d0*365.25d0))*(jday-tperi)*sqrt(gmb) - mt = mt - int(mt/twopi)*twopi - call pos_cart (a, e, inc, node, peri, mt, pos(1), - $ pos(2), pos(3)) - call DistSunEcl (jday, pos, r) - call RADECeclXV (pos, obpos, delta, ra, dec) - call AbsMag (r, delta, ros, mag, gb, alpha, h, ierr) - if (ierr .ne. 0) then - write (screen, *) 'AbsMag: something''s wrong !' - write (screen, *) 'ierr = :', ierr - return - end if - - return - end diff --git a/fortran/F77/SurveySubsHistory b/fortran/F77/SurveySubsHistory deleted file mode 100644 index a7c45a1..0000000 --- a/fortran/F77/SurveySubsHistory +++ /dev/null @@ -1,66 +0,0 @@ -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* -c -c Survey Simulator set of routines, version 2.0 for OSSOS -c -c Based on SurveySim.f from CFEPS, as of 2013-01-15 -c -c Improvements include use of new efficiency and pointings file format, -c various efficiency functions for a given pointing as a function of rate of -c motion and colors for simulated objects such that surveys have not been -c shifted in magnitude to a common filter. -c -c 2013-04-26: Modified GetSurvey, read_sur and read_eff to read in new -c efficiency and pointings files. -c Modified eta_raw to support multiple efficiency functions as -c functions of rate of motion. -c Modified detect1 to add a 'color' array in the argument list to -c account for colors of objects and various filters used in the -c surveys, and change the sequence of rejections to: -c - Check app. mag. against limiting mag. -c - Check FOV -c - Check for filling factor -c - Check rate of motion -c - Check efficiency on randomized mag. -c - Check for tracking -c -c 2013-05-03: Added two more arguments at end of list of detect1: 'ic' for the -c index of the color of the detection filter, and 'surna', a -c 3-character string with the name of the survey that detected the -c object. -c Updated content of efficiency files for CFEPS to eliminate -c remaining inconsistancies. -c -c 2013-05-08: Changed name of entry subroutine from detect1 to detos1. -c -c 2013-07-01: Modified API for detos1 to return a single COMMENTS string -c argument and an integer NCHAR specifying how many characeter to -c output. -c -c 2013-09-18: Changed API of detos1 to return intrinsic mag and averaged -c randomized mag instead of randomized mag and dmag. -c Changed algorithm to check efficiency based on intrinsic -c mag, using full efficiency function down to 1%, and finally -c reject object if averaged randomized mag is fainter than -c 40% limit. -c Discarded use of eta_trust. -c -c 2015-01-12: Changed API of detos1 to return surmized absolute magnitude -c obtained from averaged randomized mag. Hx and m_int are returned -c in the band filter used for the H distribution (X), while m_rand -c and H_rand are returned in the band filter of the survey the -c object is detected in. -c -c 2016-03-16: Changed detos1 to use 'poly', 'ears' or 'rect' labels instead of -c the old width and height numbers in pointings.list to define the -c FOV footprint. This allows for general polygons, or 40 CCD -c MegaPrime specific FOV. The routine is still compatible with the -c old input files. -c -c 2016-05-04: Continue looping on pointings until object is detected, -c characterized and tracked. Don't stop at first detection. -c -c 2017-06-25: Increased the maximum number of pointings in 'pointings.list' -c file to allow Schwamb et al. (2010) survey. Increased n_sur_max -c from 1000 to 3000, and reduced n_bin_max from 100 to 30 to save -c storage space. -c-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* diff --git a/fortran/F77/TestPlanetPos.f b/fortran/F77/TestPlanetPos.f deleted file mode 100644 index 6270030..0000000 --- a/fortran/F77/TestPlanetPos.f +++ /dev/null @@ -1,41 +0,0 @@ - integer*4 nplanets, ind, i, ierr, j - - real*8 pos_p(3), vel_p(3), pos_b(3), vel_b(3), jday - - jday = 2457023.5d0 - nplanets = 8 - - do i = 1, 10 - print *, 'Time =', jday - print *, 'old:' - do ind = 1, nplanets - call PlanetXV(ind, jday, pos_p, vel_p, ierr) - print *, 'Planet', ind - print *, (pos_p(j), j=1,3) - end do - print *, 'new:' - do ind = 1, nplanets - call PlanetXV1(ind, jday, pos_p, vel_p, ierr) - print *, 'Planet', ind - print *, (pos_p(j), j=1,3) - end do - print *, 'new2:' - do ind = 1, nplanets - call PlanetXV2(ind, jday, pos_p, ierr) - print *, 'Planet', ind - print *, (pos_p(j), j=1,3) - end do - print *, 'Barycenter:' - print *, 'old:' - call BaryXV(jday, pos_b, vel_b, ierr) - print *, (pos_b(j), j=1,3) - print *, 'new:' - call BaryXV1(jday, pos_b, vel_b, ierr) - print *, (pos_b(j), j=1,3) - print *, ' ' - jday = jday + 100.d0 - end do - - end - - include 'PosVelUtils.f' diff --git a/fortran/F77/param.inc b/fortran/F77/param.inc deleted file mode 100644 index 21c5564..0000000 --- a/fortran/F77/param.inc +++ /dev/null @@ -1,23 +0,0 @@ - - integer*4 - $ n_sur_max, n_bin_max, n_r_max, n_e_max, nw_max - - parameter - $ (n_sur_max = 3000, n_bin_max=30, n_r_max=10, n_e_max=41, - $ nw_max = 10) - - real*8 - $ Pi, drad, TwoHours, eps, TwoPi - - parameter - $ (Pi = 3.141592653589793238d0, drad = Pi/180.0D0, - $ TwoHours = 2.d0/24.d0, TwoPi = 2.0d0*Pi, eps = 1.d-14) - - real*8 - $ gmb - - parameter - $ (gmb = 1.d0+1.d0/6023600.0d0+1.d0/408523.71d0 - $ +1.d0/328900.56d0+1.d0/3098708.0d0+1.d0/1047.3486d0 - $ +1.d0/3497.898d0+1.d0/22902.98d0+1.d0/19412.24d0 - $ +1.d0/1.35d8) diff --git a/fortran/F95/HST.f95 b/fortran/F95/HST.f95 deleted file mode 120000 index d74913d..0000000 --- a/fortran/F95/HST.f95 +++ /dev/null @@ -1 +0,0 @@ -ReadModelFromFile.f95 \ No newline at end of file diff --git a/fortran/F95/Makefile b/fortran/F95/Makefile deleted file mode 100644 index 439acf8..0000000 --- a/fortran/F95/Makefile +++ /dev/null @@ -1,90 +0,0 @@ -U = poly_dec poly_lib datadec ioutils effut elemutils rot xvutils getsur numutils surveysub -OBJU = $(addsuffix .o,${U}) -SRCU = $(addsuffix .f95,${U}) -FPPU = $(addsuffix .fpp,${U}) -MODU = $(addsuffix .mod,${U}) - -M = modelutils GiMeObj -OBJM = $(addsuffix .o,${M}) -SRCM = $(addsuffix .f95,${M}) -FPPM = $(addsuffix .fpp,${M}) -MODM = $(addsuffix .mod,${M}) - - -A = poly_dec datadec ioutils elemutils rot -OBJA = $(addsuffix .o,${A}) -SRCA = $(addsuffix .f95,${A}) -FPPA = $(addsuffix .fpp,${A}) -MODA = $(addsuffix .mod,${A}) - - -SSIM = SurveySubsF95 -GOBJ = GiMeObjF95 - -FC = gfortran -FPP = gfortran -E -x f95-cpp-input -fPIC -DPYTHON - -FFLAGS = -O3 -fPIC -x f95-cpp-input -FFLAGP = -O3 -CFLAGS = -CPPFLAGS = - -TOPTARGETS := clean test -# use the GIMEOBJ from the command line or the default value of InnerHotModel -GIMEOBJ ?= InnerHotModel - -$(TOPTARGETS): $(SUBDIRS) - -.PHONY: $(SUBDIRS) - -$(SUBDIRS): - $(MAKE) -C $@ $(MAKECMDGOALS) - -all: Driver $(SUBDIRS) - -test: - $(MAKE) -s -C ../tests test LANGUAGE=F95 - -%.fpp : %.f95 - $(FPP) $< -o $@ - -%.o : %.f95 - $(FC) $(FFLAGS) -c $< - -.PHONY: clean - -clean: rmtmp - rm -f _$(SSIM)*.so _$(GOBJ)*.so _$(IOBJ)*.so _$(ROBJ)*.so Driver GiMeObj.f95 - -rmtmp: - rm -f *~ *.o *.mod *.fpp f90wrap*f90 SimulDetect.dat SimulTrack.dat - rm -f $(IOBJ).py $(ROBJ).py $(SSIM).py $(GOBJ).py - rm -f *.log LOG .f2py_f2cmap - -.PHONY: link - -link: - \rm -f GiMeObj.f95 - \rm -f GiMeObj.o - ln -s $(GIMEOBJ).f95 GiMeObj.f95 - -Driver: link Driver.f95 $(OBJU) ${SRCM} Makefile - $(FC) $(FFLAGP) -o Driver $(OBJU) ${SRCM} Driver.f95 - -magerr: link magerr.f95 $(OBJU) ${SRCM} Makefile - $(FC) $(FFLAGP) -o magerr $(OBJU) ${SRCM} magerr.f95 - rm GiMeObj.f95 - -Modules: _$(SSIM).so Makefile - echo "Modules have been built" - -_$(SSIM).so: $(FPPU) $(OBJU) Makefile - \rm -f _$(SSIM).so - f90wrap -k kind_map -m $(SSIM) $(FPPU) 1>f90wrap_SurveySubs.log 2>&1 - f2py-f90wrap --fcompiler=$(FC) -c -m _$(SSIM) $(OBJU) f90wrap_*.f90 1>f2py_SurveySubs.log 2>&1 - \rm f90wrap_*.f90 - \rm *.fpp *.mod *.o - sed -e 's/import _$(SSIM)/from . import _$(SSIM)/' -i.bck $(SSIM).py - rm $(SSIM).py.bck - rm .f2py_f2cmap - mv _$(SSIM)*.so _$(SSIM).so diff --git a/fortran/tests/Makefile b/fortran/tests/Makefile deleted file mode 100644 index 1f3402a..0000000 --- a/fortran/tests/Makefile +++ /dev/null @@ -1,21 +0,0 @@ -MODELS = InnerHotModel ReadModelFromFile HST -LANGUAGE = F95 - -%: %.sh - -test: clean $(MODELS) - -$(MODELS): clean - $(MAKE) -s -C ../$(LANGUAGE) Driver GIMEOBJ=$@ - @./test.sh ../$(LANGUAGE)/$@ $(LANGUAGE) - $(MAKE) -s -C ../$(LANGUAGE) clean - -.PHONY: $(MODELS) - -.DEFAULT: - -.PHONY: clean - -clean: - \rm -f ModelUsed.dat SimulDetect.dat SimulTrack.dat LOG test - diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..582f06a --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,49 @@ +[build-system] +requires = ["meson-python", "setuptools>=68", "wheel", "f90wrap", "setuptools-scm>=8" ] +build-backend = "setuptools.build_meta" + +[project] +name = "OSSSurveySimulator" +dynamic = ["version"] +# version = "2.0" +description = "Outer Solar System Survey Simulation written in F95 with Python bindings." +readme = "README.md" +authors = [ + {name = "J.M. Petit", email = "jmpetit@obs-besacon.fr" }, + {name = "J.J. Kavelaars", email = "jjkavelaars@gmail.com" } +] +license = "EUPL-1.2" +license-files = ["LICENCE.txt"] +dependencies = [ + "astropy>=7.0", + "numpy>=2.3", + "matplotlib", + "pydantic", + "scipy", + "rebound", + "astroquery" +] +requires-python = ">=3.12" +keywords = [ + "astronomy", + "planetary", + "solar system", + "surveys", + "telescope", +] + +[project.urls] +homepage = "https://www.ossos-survey.org/simulator.html" + +[tools.setuptools] +packages = ["ossssim"] +package-dir = {"" = "src"} +include-package-data = true + +[tool.setuptools] +ext-modules = [ + {name = "ossssimlib", sources = []} +] + +[tool.setuptools_scm] +version_file = "src/ossssim/__version__.py" diff --git a/python/Manifest.in b/python/Manifest.in deleted file mode 100644 index c665c80..0000000 --- a/python/Manifest.in +++ /dev/null @@ -1 +0,0 @@ -include ossssim/lib/_SurveySubsF95.so diff --git a/python/examples/Ring.ipynb b/python/examples/Ring.ipynb deleted file mode 100644 index 4be9f4b..0000000 --- a/python/examples/Ring.ipynb +++ /dev/null @@ -1,211 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 2, - "id": "optional-testament", - "metadata": {}, - "outputs": [], - "source": [ - "\"\"\"\n", - "Create a ring of objects representing theoretical populations of objects in the distant solar system.\n", - "\n", - "When run as a script, uses CFEPS survey characterization, runs until 28 sources have been detected in this ring and plots the result.\n", - "\"\"\"\n", - "from ossssim.models import Parametric\n", - "from ossssim import OSSSSim, DetectFile, ModelFile, definitions, plotter\n", - "from astropy import units\n", - "\n", - "\n", - "class Ring(Parametric):\n", - " \"\"\"\n", - " Class used to create and store the objects generated and passed by the GiMeObj module into the main Driver.py\n", - " module that executes the survey simulator code.\n", - " \"\"\"\n", - " def __init__(self, ring_centre, ring_width, **kwargs):\n", - " \"\"\"Build a ring distribution of given with at a given distance. Ring is edge-on and circular.\n", - "\n", - " Args:\n", - " ring_center (units.Quantity): The location of the ring, given as unit quantity\n", - " ring_width (units.Quantity): Width of the ring.\n", - " \"\"\"\n", - " super().__init__(**kwargs)\n", - " self.ring_center = ring_centre\n", - " self.ring_width = ring_width\n", - "\n", - "\n", - " @property\n", - " def a(self):\n", - " \"\"\"\n", - " Semi-major axis distribution for a narrow ring\n", - " \"\"\"\n", - " return self.distributions.normal(self.ring_center.to('au').value,\n", - " self.ring_width.to('au').value) * units.au\n", - "\n", - "\n", - "\n", - " @property\n", - " def e(self):\n", - " \"\"\"\n", - " Eccentricity axis distribution for a narrow ring\n", - " \"\"\"\n", - " return self.distributions.constant(0.0)\n", - "\n", - " @property\n", - " def inc(self):\n", - " \"\"\"\n", - " Inclination distribution for a narrow ring\n", - " \"\"\"\n", - " return self.distributions.constant(0.0) * units.rad" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "decreased-division", - "metadata": {}, - "outputs": [], - "source": [ - "def run(model_filename,\n", - " detect_filename,\n", - " characterization_directory, seed, ntrack):\n", - " \"\"\"\n", - " Using the ParametricModel defined here run the survey simulator and save detected sources to detect_filename\n", - "\n", - " Args:\n", - " model_filename (str): Name of file to store the model targets.\n", - " detect_filename (str): Name of file to store detected targets.\n", - " characterization_directory (str): Relative or absolute path to directory on disk where the characterization files are organized\n", - " seed (int): random number seed, specifying allows reproducibility\n", - " ntrack (int): < 0 continue for ntrack iterations;\n", - " > 0 continue until n_tracked tracked detections;\n", - " = 0 continue until input exhausted\n", - " \"\"\"\n", - " ssim = OSSSSim(characterization_directory=characterization_directory)\n", - "\n", - " # the default Resonant class arguments setup for a Plutino model....\n", - " model = Ring(45*units.au, 1*units.au, seed=seed, component='Ring')\n", - "\n", - " model_file = DetectFile(model_filename)\n", - " model_file.epoch = model.epoch\n", - " model_file.longitude_neptune =model.longitude_neptune\n", - " model_file.colors = definitions.COLORS.values()\n", - " model_file.write_header(seed)\n", - "\n", - " detect_file = DetectFile(detect_filename)\n", - " detect_file.epoch = model.epoch\n", - " detect_file.longitude_neptune = model.longitude_neptune\n", - " detect_file.colors = definitions.COLORS.values()\n", - " detect_file.write_header(seed)\n", - "\n", - " n_iter = n_track = n_hits = 0\n", - " for row in model:\n", - " n_iter += 1\n", - " result = ssim.simulate(row, seed=model.seed)\n", - " model_file.write_row(result)\n", - " if result['flag'] > 0:\n", - " n_hits += 1\n", - " detect_file.write_row(result)\n", - " if result['flag'] > 2:\n", - " n_track += 1\n", - " if (0 < ntrack < n_track) or (0 < -ntrack < n_iter):\n", - " break\n", - "\n", - " detect_file.write_footer(n_iter=n_iter, n_hits=n_hits, n_track=n_track)\n", - " model_file.write_footer(n_iter=n_iter,\n", - " n_hits=n_hits,\n", - " n_track=n_track)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "latin-bullet", - "metadata": {}, - "outputs": [], - "source": [ - "def face_down_plot(model_file: str, detect_file: str) -> None:\n", - " \"\"\"_\n", - " Plot the detected objects in a face-down plot\n", - " Args:\n", - " detect_file: name of file with the detected sources\n", - " \"\"\"\n", - " plot = plotter.RosePlot(definitions.Neptune['Longitude'])\n", - " plot.add_model(ModelFile(model_file), mc='k', ms=0.05, alpha=0.1)\n", - " plot.add_model(ModelFile(detect_file), ms=5, mc='g')\n", - " # plot.add_scale_rings()\n", - " plot.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "general-latest", - "metadata": {}, - "outputs": [], - "source": [ - "run('RingModel.dat', 'RingDetect.dat', '../tests/data/CFEPS', 123456789, 28)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "latest-april", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/kavelaarsj/.pyenv/versions/3.9.1/Python.framework/Versions/3.9/lib/python3.9/site-packages/ossssim/plotter.py:143: UserWarning: FixedFormatter should only be used together with FixedLocator\n", - " self.ax1.set_xticklabels(x_tick_labels, color='b', alpha=0.6)\n" - ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "face_down_plot('RingModel.dat', 'RingDetect.dat')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "divided-somalia", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.1" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/python/examples/Surveys b/python/examples/Surveys deleted file mode 120000 index baf7c30..0000000 --- a/python/examples/Surveys +++ /dev/null @@ -1 +0,0 @@ -../../fortran/tests/Surveys \ No newline at end of file diff --git a/python/examples/funcs.py b/python/examples/funcs.py deleted file mode 100644 index fea8cd1..0000000 --- a/python/examples/funcs.py +++ /dev/null @@ -1,238 +0,0 @@ -""" -Functions us in analysis of OSSOS H distribution. - -""" -import numpy -from scipy import stats -ln10 = numpy.log(10.) - - -def broken_plaw(H, a1, a2, Ho, Hb): - """ - LF from Fraser et al. 2014 - :param H: h magnitude - :param a1: log slope bright of break) - :param a2: log slope faint of break) - :param Ho: normalization of bright component - :param Hb: normalization of faint component - :return: N - - As presented here this the nominal cummulative form of the function. - """ - N = 10**(a1*(H-Ho)) - N[H > Hb] = 10**(a2*(H[H > Hb]-Ho)+(a1-a2)*(Hb-Ho)) - return N - - -def HBO(alpha_SI, beta_SI, A, B): - """ - Convert the 'A' and 'B' parameters in variably tappered funciton to H1 and H2. - :param alpha_SI: - :param beta_SI: - :param A: - :param B: - :return: H1, H2 - - The functional form used in the analysis users constants 'A' and 'B' rather than 10**H1 and 10**H2 as the fits are more well - behaved. This function converts from A/B to the H normalization. - """ - return -5/(3*alpha_SI) * numpy.log10(A), 5/(3*beta_SI) * numpy.log10(B) - - -def variably_tapered(h, A, B, alpha_SI, beta_SI): - """ - Exponentially tappered powerlaw size distribution re-expressed in H magnitude space. - :param A: The normalization of the asymtoptic exponential - :param B: The point where the exponential taper begins. - :param alpah_SI: exponential asymptotic value. - :param beta_SI: exponent of the taper. - - Derived from Schmit et al. This form of the LF mimics behaviour seen in the streaming instability planetesimal formation process. - """ - return A*10.**(alpha_SI*3.*h/5.)*numpy.exp(-B*10.**(-beta_SI*3.*h/5.)) - - -def variably_tapered2(h, Ho, Hb, alpha_SI, beta_SI): - """ - Exponentially tapered exponential size distribution re-expressed in H magnitude space. - """ - return 10.**(alpha_SI*3./5.*(h-Ho))*numpy.exp(-10.**(-beta_SI*3./5*(h-Hb))) - - -def variably_tapered_diff(h, Dp, E, alpha_SI, beta_SI): - """ - Differential form of the variably_tapere - :param h: - :param Dp: - :param E: - :param alpha_SI: - :param beta_SI: - :return: - """ - - return (3./5.*ln10)*Dp*10.**(alpha_SI*3.*h/5.)*(alpha_SI+beta_SI*E*10.**(-beta_SI*3.*h/5.))*numpy.exp(-E*10.**(-beta_SI*3.*h/5.)) - - -def log_variably_tapered(h, Dp, E, alpha_SI, beta_SI): - return numpy.log10(variably_tapered(h, Dp, E, alpha_SI, beta_SI)) - - -def log_variably_tapered_diff(h, Dp, E, alpha_SI, beta_SI): - return numpy.log10(variably_tapered_diff(h, Dp, E, alpha_SI, beta_SI)) - - -def likelihood(H, bias, A=0.88, B=450.0, alpha_SI=0.67, beta_SI=0.65): - """ - - :param H: Vector of measured H values - :param bias: Vector of bias on detection of a given object - - - :return: - """ - x = numpy.linspace(H.min()-3.0, H.max()) - dx = x[1]-x[0] - cdf = variably_tapered(x, A, B, alpha_SI, beta_SI) - pdf = numpy.diff(cdf)/dx - ht = numpy.linspace(H.min(), H.max()) - dh = ht[1]-ht[0] - dy = bias*numpy.interp(H, x[1:]-dx/2.0, pdf) - dN = numpy.interp(ht, H, dy) - if False: - plt.clf() - plt.plot(H, numpy.interp(H, x, cdf), '-') - plt.plot(x[1:], (dx*pdf).cumsum(), ':k') - plt.plot(ht, dh*dN.cumsum(), ':k') - plt.plot(H, numpy.ones(len(H)).cumsum(), '-') - plt.yscale('log') - plt.ylim(1, 10000) - plt.show() - - N = dh*dN.sum() - l = -N + numpy.sum(numpy.log(dy/len(H))) - return dy, N, l - - -def likelihood2(H, bias, Ho=0, Hb=7, alpha_SI=0.67, beta_SI=0.65): - """ - - :param H: Vector of measured H values - :param bias: Vector of bias on detection of a given object - - - :return: - """ - x = numpy.linspace(H.min()-3.0, H.max()+3.0) - dx = x[1]-x[0] - cdf = variably_tapered2(x, Ho, Hb, alpha_SI, beta_SI) - pdf = numpy.diff(cdf)/dx - ht = numpy.linspace(H.min(), H.max()) - dh = ht[1]-ht[0] - dy = bias*numpy.interp(H, x[1:]-dx/2.0, pdf) - dN = numpy.interp(ht, H, dy) - - N = dh*dN.sum() - l = -N + numpy.sum(numpy.log(dy/len(H))) - return dy, N, l - -def fraser(H, a1, a2, Ho, Hb, dh): - """ - LF from Fraser et al. 2014 - :param H: h magnitude - :param a1: log slope bright of break) - :param a2: log slope faint of break) - :param Ho: normalization of bright component - :param Hb: normalization of faint component - :return: N - """ - # print(f"alpha1: {a1}, alpha2: {a2}, Ho: {Ho}, Hb:{Hb}") - # N[H > Hb] = a2*ln10*10**(a2*(H[H > Hb]-Ho)+(a1-a2)*(Hb-Ho)) - # 10**(a2*H-a2*Ho+a1*Hb-a1*Ho-a2*Hb+a2*Ho) - # 10**(a2*(H-Hb)+a1*(Hb-Ho)) - # 10**(a1*(Hb-Ho)) * 10**(a2*(H-Hb)) - N = dh*a1*ln10*10**(a1*(H-Ho)) - C = 10**(a1*(Hb-Ho)) - N[H >= Hb] = dh*a1*ln10*C*10**(a2*(H[H > Hb]-Hb)) - print(N[H=Hb][0]) - return N - - -def double_plaw(H, simga_23=0.68, a1=1.36, a2=0.38, R_eq=22.8, dh=0.1): - """ - Double powerlaw form from B14 - :param H: - :param simga_23: - :param a1: - :param a2: - :return: simga(H) - """ - r = H + 10*numpy.log10(42.0) - C = 10**((a2-a2)*(R_eq - 23)) - return dh*((1+C)*simga_23/(10**(-a1*(r-23)) + C*10**(-a2*(r-23)))) - - -def rolling_plaw(H, sigma_23, a1, a2): - """ - Rolling power law form form Bernstein et al. 2004 - :param H: numpy array of H mags. - :param sigma_23: normalization at R=23 - :param a1: bright slope. - :param a2: faint slope. - :return: N - """ - r = H + 10*numpy.log10(44) - return sigma_23 * 10**(a1*(r-23)+a2*(r-23)**2) - - - - -def ll(params, H, bias, limits): - """ - Compute the log-likelihood [setup to work with eemcc - :param params: function parameters - :param H: numpy array of H magnitudes - :param bias: numpy array of detection bias - :param limits: bounds on params, ll = -np.inf outside this range. - :return: log of likelihood - """ - for idx in ['Ho', 'Hb', 'alpha_SI', 'beta_SI']: - if not limits[idx][0] < params[idx] < limits[idx][1]: - return -numpy.inf - return likelihood2(H, bias, alpha_SI=params[2], Hb=params[1], Ho=params[0], beta_SI=params[3])[2] - - -def poisson_range(k, prob): - """ - Given an measured count rate, k, and an expectation of a poisson process return estimates of 'mu' that - are consistent with 'k' being measured within probability prob. - - i.e. if we measure k objects compute a bunch of mu and return the range of mu that are consistent within prob. - """ - # mu holds the range of plausible estimates for actual mu - mu = numpy.arange(max(0, k.min()-20*(k.min())**0.5), k.max()+20*(k.max())**0.5+10, 10+20*k.max()**0.5/100.) - upper = stats.poisson.ppf(0.5-prob/2., mu) - lower = stats.poisson.ppf(0.5+prob/2., mu) - return numpy.interp(k, lower, mu), numpy.interp(k, upper, mu) - - -if __name__ == '__main__': - print("This is the result from the OSSOS SFD papers.") - from matplotlib import pyplot as plt - Ho = -2.6 - Hb = 8.1 - beta_SI = 0.42 - alpha_SI = 0.677 - x = numpy.arange(4.5, 17, 0.1) - # x = numpy.array([8.66,12,17.0]) - # From Kavelaars et al. (2021) - # alpha = 3/5 alpha_SI => alpha_SI = 5*alpha/3 - alpha_SI = 5*0.4/3 - beta_SI = 0.42 - Ho = -2.6 - Hb = 8.1 - cdf = variably_tapered2(x, Ho, Hb, alpha_SI, beta_SI) - plt.plot(x, cdf) - plt.xlabel('H (r)') - plt.ylabel('N(H0: detected; >2: characterized; 0 mod(2): tracked\n') - f_detect.write('# Survey: name of the observing block where model object was detected\n') - f_detect.write("# ") - for colname in self.colnames: - f_detect.write("{colname:>{width}s} ".format(colname=colname, - width=definitions.COLUMN_WIDTH)) - f_detect.write("\n") - - def write_footer(self, n_iter, n_hits, n_track): - """ - Write a footer with the results of the survey simulation - - This is done as a footer instead of header to allow streaming output. - """ - with open(self.filename, 'a') as f_detect: - f_detect.write('# Total number of objects: {:11d}\n'.format(n_iter)) - f_detect.write('# Number of detections: {:7d}\n'.format(n_hits)) - f_detect.write('# Number of tracked objects: {:7d}\n'.format(n_track)) - - -class ModelOutputFile(ResultsFile): - """ - Output format used to store the input model, used when model is parametric and you want to keep a record of input for diagnostics - """ - - colnames = ['a', 'e', 'inc', 'node', 'peri', 'M', 'H', 'q', - 'color', 'comp', 'j', 'k'] - - -class DetectFile(ResultsFile): - """ - Detected object output file structure. - """ - colnames = ['a', 'e', 'inc', 'node', 'peri', 'M', 'H', 'q', 'r', 'Mt', 'm_rand', 'h_rand', 'color', 'flag', - 'delta', 'm_int', 'eff', 'RA', 'DEC', 'comp', 'j', 'k'] - - -class FakeFile(ResultsFile): - """ - List of positions of artificial objects to add to the file. - """ - colnames = ['a', 'e', 'inc', 'node', 'peri', 'M', 'H', 'mag', 'dra', 'ddec', 'RA', 'DEC'] - - -class TrackFile(ResultsFile): - """ - Tracked object output file structure. - """ - colnames = ['a', 'e', 'inc', 'node', 'peri', 'M', 'H', 'q', 'r', - 'Mt', 'm_rand', 'H_rand', 'color', 'Survey', 'comp', 'j', 'k'] - - -class ModelFile(Iterable): - """ - A class to drive the SSim using a standard model file. - - ModelFile opens file and reads the header for the epoch, seed, longitude_neptune and colors - and then loops over or randomly offsets into the file to read model objects. - """ - - def __init__(self, filename, randomize=False): - self.filename = filename - self.randomize = randomize - self._header = None - self._header_parsed = False - self._colnames = None - self._colors = None - self._epoch = None - self._longitude_neptune = None - self._seed = None - self.header_lines = [] - self._f_obj = open(self.filename, 'r') - self.f_loc = 0 - self._targets = None - self._f = None - - @property - def epoch(self): - """ - Epoch of coordinates of orbit read from model file header. - """ - if self._epoch is None: - self._epoch = Time(float(self.header['JD'][0].replace('d', 'e')), - format='jd').jd * units.day - return self._epoch - - @property - def longitude_neptune(self): - """ - Longitude of Neptune at epoch - """ - if self._longitude_neptune is None: - self._longitude_neptune = float(self.header['lambdaN'][0].replace('d', 'e')) * units.radian - return self._longitude_neptune - - @property - def colors(self): - """Returns color array from file header or default if no color array in header.""" - if self._colors is None: - # pickup the - self._colors = list(definitions.COLORS.values()) - _header_colors = [] - for color in self.header.get('Colors', ''): - _header_colors.append(get_floats_in_str(color)[0] * units.mag) - for idx in range(len(_header_colors)): - self._colors[idx] = _header_colors[idx] - return self._colors - - @property - def colnames(self): - """ - Parse the file header (lines that start with #) and return the last header - line split on spaces as the names of the data columns in filename. - """ - if self._colnames is None: - self._colnames = [] - for colname in self.header.get('colnames', "").split(): - colname = definitions.COLUMN_MAP.get(colname, colname) - self._colnames.append(colname) - if len(self._colnames) == 0: - raise IOError(f"Failed to get column names in {self.filename}\n") - return self._colnames - - @property - def header(self): - """ - Parse the first block of comment lines for header definition. - """ - if self._header is not None or self._header_parsed: - return self._header - previous_line = None - self._header = OrderedDict() - with open(self.filename, 'r') as f_obj: - if self.f_loc is not None: - f_obj.seek(self.f_loc) - self.f_loc = f_obj.tell() - while True: - line = f_obj.readline() - # line = line.decode('utf-8') - if line.startswith('#'): - logging.debug(f"Parsing Comment: {line}") - self.header_lines.append(line[1:]) - if line.strip() == "#": - continue - if '=' in line: - keyword = line.split('=')[0].split()[-1] - value = line.split('=')[1].strip().split() - self._header[keyword] = value - previous_line = line - self.f_loc = f_obj.tell() - else: - if previous_line is not None: - # expect that the last header line is the column name header. - self._header['colnames'] = previous_line[1:] - break - self._header_parsed = True - if self._header is None: - raise IOError(f"Failed to parse keywords from header of {self.filename}") - self._header['_end_of_header_offset'] = self.f_loc - return self._header - - def __iter__(self): - return self - - def __next__(self): - """ - Get the next line or a random line that is not a comment line from the file and parse into a row - """ - if self.randomize: - while True: - # offset to random location in the file. - self._f_obj.seek(random.randint(self.header['_end_of_header_offset'], - os.stat(self.filename).st_size)) - try: - # read to the end of this line. - self._f_obj.readline() - while True: - line = self._f_obj.readline() - if len(line) == 0: - raise EOFError - if line[0] != "#": - break - break - except EOFError: - self._f_obj.close() - self._f_obj = open(self.filename) - pass - else: - while True: - line = self._f_obj.readline() - if type(line) == bytes: - line = line.decode('utf-8') - if len(line) == 0: - raise StopIteration - if not line.startswith('#'): - break - values = line.split() - row = OrderedDict() - for idx, colname in enumerate(self.colnames): - try: - if '.' in values[idx]: - value = float(values[idx].replace('d', 'e')) - else: - value = int(values[idx]) - except ValueError: - value = str(values[idx]) - except IndexError as ex: - # for non-resonant we don't need to have j/k defined in file. - if colname in ['j', 'k']: - value = 0 - else: - raise ex - if definitions.colunits.get(colname, None) is not None: - value = value * definitions.colunits[colname] - row[colname] = value - - if 'colors' not in row: - row['colors'] = self.colors - return row - - @property - def targets(self): - """ - targets set by looping over the entire file and returning a 'QTable'. This can be used when you want access to the - entire table of data rather than just reading one-line at a time. - """ - - if self._targets is None: - # need to start from the top of the data range - # get current file location. - loc = self._f_obj.tell() - - # move the pointer to the end of the header. - self._f_obj.seek(self.header['_end_of_header_offset']) - values = {} - for column in self.colnames: - values[column] = [] - for row in self: - for column in self.colnames: - values[column].append(row[column]) - self._targets = QTable(values) - - # set the file pointer back to where we were before. - self._f_obj.seek(loc) - - return self._targets - - @property - def f(self): - """True anomaly of the orbit. If the mean anomaly at detection (Mt) exists than use that - else use the mean anomaly at model epoch - - Returns: - (float): true anomaly - """ - if self._f is None: - e = self.targets['e'] - if 'M' not in self.targets.colnames: - ValueError("No mean anomaly (M) in model?") - if 'Mt' in self.targets.colnames: - m = self.targets['Mt'] - else: - m = self.targets['M'] - big_e = m - self.targets['e'] * numpy.sin(m) * units.rad - converged = numpy.zeros(len(self.targets)) > 0 - f1 = numpy.zeros(len(self.targets)) * units.rad - fp = numpy.ones(len(self.targets)) - n = 0 - while n < 1**6 and numpy.sum(~converged) > 0: - f1[~converged] = big_e[~converged] - e[~converged] * numpy.sin(big_e[~converged]) * units.rad - m[~converged] - f1[converged] = 0 * units.rad - fp[~converged] = (1.0 - e[~converged] * numpy.sin(big_e[~converged])) - fp[converged] = 1 - delta = -f1 / fp - big_e = big_e + delta - n += 1 - converged = delta < (1e-8 * units.rad) - self._f = (2. * numpy.arctan(((1. + e) / (1. - e)) ** 0.5 * numpy.tan(big_e / 2.))) - return self._f - - -class HDistribution: - """ - Provide a class to describe the size distribution of the object being simulated. - """ - def __init__(self, func, **kwargs): - """ - Args: - func (func): the function that will be used for the H-distribution. - kwargs (dict): A dictionary of parameters used by the H distribution function. - """ - self.params = kwargs - self.func = func - - def __call__(self): - return self.func(**self.params) * units.mag - - -class Parametric(ABC): - """ - This abstract class defines methods needed to build a parametric Outer Solar System model for use as a model input for OSSSSim - """ - - def __init__(self, - size: int = 1000000, - seed: int = 123456789, - epoch: Quantity = 2456839.5 * units.day, - j: int = 0, - k: int = 0, - longitude_neptune: Quantity = 5.876 * units.rad, - **kwargs) -> None: - """ - Setup the boundaries of the simulation. size and seed are used to initialize a dist_utils.Distribution class. - - Args: - size: Determines size of the arrays to be generated (default=10^6). - seed: Initialize distributions with this seed to enable reproducible models. - epoch: JD epoch of elements and Neptune longitude - j: MMR Neptune integer - k: MMR TNO integer - longitude_neptune: heliocentric J2000 longitude of neptune at Epoch - - """ - # initialize the internal variables so they are empty. - self._a = self._e = self._inc = self._node = self._peri = self._M = None - self._H = self._lc_gb = self._lc_phase = self._lc_period = self._lc_amplitude = None - self._phi = self._resamp = self._colors = self._comp = None - self._cartesian = self._targets = self._iter = self._sim = None - - if seed is None: - seed = numpy.random.randint(1, 999999999) - self.seed = seed - self.size = size - self.distributions = distributions.Distributions(self.seed, self.size) - self.h_distribution = HDistribution(self.distributions.power_knee_divot, - **dict([('alpha_bright', 1.1), - ('alpha_faint', 0.4), - ('h_break', 7.5), - ('h_max', 11), - ('h_min', 1)])) - self.j = j - self.k = k - self.longitude_neptune = longitude_neptune # Neptune's mean longitude on 1 Jan 2013 - self.a_neptune = 30.07 * units.au - self.comp = "Cls" - self.epoch = epoch - self.rebound_archive = f"Rebound_Archive_{self.seed}.bin" - - @property - def sim(self): - """ - A rebound Simulation object used to compute the cartesian locations of the particles in this model. - """ - if self._sim is None: - if not os.access(self.rebound_archive, os.F_OK): - _sim = rebound.Simulation() - _sim.add("Sun") - _sim.add("Jupiter") - _sim.add("Saturn") - _sim.add("Uranus") - _sim.add("Neptune") - _sim.move_to_com() - _sim.simulationarchive_snapshot(self.rebound_archive) - del(_sim) - self._sim = rebound.SimulationArchive(self.rebound_archive)[0] - return self._sim - - @property - def cartesian(self): - """ - provide the state vector of the orbits. - - Returns: - (dict[ndarray, ndarray, ndarray, ndarray, ndarray, ndarray]): dictionary of x/y/z/vx/vy/vz - """ - if self._cartesian is None: - for i in range(self.size): - self.sim.add(a=self.a[i].to('au').value, - e=self.e[i], - inc=self.inc[i].to('rad').value, - Omega=self.node[i].to('rad').value, - omega=self.peri[i].to('rad').value, - M=self.M[i].to('rad').value) - self._cartesian = {} - for s in ['x', 'y', 'z']: - self._cartesian[s] = [p.__getattribute__(s) for p in self.sim.particles[5:]] * units.au - for s in ['vx', 'vy', 'vz']: - self._cartesian[s] = [p.__getattribute__(s)*(2*numpy.pi) for p in self.sim.particles[5:]] * units.au/units.year - - return self._cartesian - - @property - @abstractmethod - def a(self): - """ - J2000 Heliocentric semi-major axis. - """ - pass - - @property - @abstractmethod - def phi(self): - pass - - @property - @abstractmethod - def e(self): - """ - J2000 Heliocentric eccentricity - """ - pass - - @property - @abstractmethod - def inc(self): - """ - J2000 heliocentric inclination of orbit - """ - pass - - @property - def node(self): - """ - Return uniformly distributed nodes. - """ - if self._node is None: - self._node = self.distributions.uniform(0, 2 * numpy.pi) * units.rad - return self._node - - @property - def peri(self): - """ - Distribute peri centre to obey the phi/M/_longitude_neptune constraints. - """ - if self._peri is None: - self._peri = self.distributions.uniform(0, 2*numpy.pi) * units.rad - return self._peri - - @property - def M(self): - """ - Return uniformly distributed mean anomalies - """ - if self._M is None: - self._M = self.distributions.uniform(0, 2**5*numpy.pi) * units.rad - return self._M - - @property - def H(self): - """A distribution of H values""" - # define the default size distribution parameters. - if self._H is None: - self._H = self.h_distribution() - return self._H - - @property - def epoch(self): - """ - Epoch, in Julian Days, of the orbital elements. - """ - return self._epoch - - @epoch.setter - def epoch(self, value): - if isinstance(value, Quantity): - value = value.to('day').value - if isinstance(value, Time): - value = value.jd - self._epoch = value * units.day - # self._epoch = self.distributions.constant(value.to('day').value) * units.day - - @property - def phi(self): - """ - Returns the centre of libration for resonances.. 0 otherwise. - """ - if self._phi is None: - self._phi = self.distributions.constant(0.0) * units.deg - return self._phi - - @property - def resamp(self): - """ - Returns resamp a 0.0 as this is not a resonant orbit. - """ - if self._resamp is None: - self._resamp = self.distributions.constant(0.0) * units.deg - return self._resamp - - @property - def j(self): - """ - Return 0 for non-resonant orbit. - """ - if self._j is None: - self._j = self.distributions.constant(0) - return self._j - - @property - def k(self): - """ - Return 0 for non-resonant orbit - """ - if self._k is None: - self._k = self.distributions.constant(0) - return self._k - - @j.setter - def j(self, value): - """ - Set the j of j/k resonance description. - """ - self._j = self.distributions.constant(value) - - @k.setter - def k(self, value): - """ - Set the k of j/k resonance description. - """ - self._k = self.distributions.constant(value) - - @property - def comp(self): - """ - Label for the component being generated. - """ - if self._comp is None: - self._comp = ['classical', ] * self.size - return self._comp - - @comp.setter - def comp(self, value): - self._comp = [value, ] * self.size - - @property - def lc_gb(self): - """ - Opposition surge effect as define in Bowell - """ - if self._lc_gb is None: - self._lc_gb = self.distributions.constant(definitions.LIGHT_CURVE_PARAMS['gb']) * units.mag - return self._lc_gb - - @property - def lc_phase(self): - """ - Phase of lightcurve at self.epoch - """ - if self._lc_phase is None: - self._lc_phase = self.distributions.constant(definitions.LIGHT_CURVE_PARAMS['phase']) * units.rad - return self._lc_phase - - @property - def lc_period(self): - """ - period of lightcurve - """ - if self._lc_period is None: - self._lc_period = self.distributions.constant(definitions.LIGHT_CURVE_PARAMS['period']) * units.day - return self._lc_period - - @property - def lc_amplitude(self): - """ - peak-to-peak amplitude of lightcurve - """ - if self._lc_amplitude is None: - self._lc_amplitude = self.distributions.constant(definitions.LIGHT_CURVE_PARAMS['amplitude']) * units.mag - return self._lc_amplitude - - @property - def colors(self): - """ - colors of objects expressed as a list of list: - - [ [ (g-x), (g-r), (i-x), (z-x), (u-x), (V-x), (B-x), (R-x), (I-x), (w-x) ], ... ] - """ - if self._colors is None: - g_x = self.distributions.normal(0.7, 0.2) * units.mag # mu 0.7 and std 0.2 (from CFEPS data) - r_x = self.distributions.constant(0) * units.mag - i_x = self.distributions.constant(0) * units.mag - z_x = self.distributions.constant(0) * units.mag - u_x = self.distributions.constant(0) * units.mag - V_x = self.distributions.constant(0) * units.mag - B_x = self.distributions.constant(0) * units.mag - R_x = self.distributions.constant(-0.1) * units.mag - I_x = self.distributions.constant(0) * units.mag - w_x = self.distributions.constant(0) * units.mag - - self._colors = numpy.column_stack((g_x, r_x, i_x, z_x, u_x, V_x, B_x, R_x, I_x, w_x)) - return self._colors - - def _generate_targets(self): - """ - Generate the orbit elements and properties of a list of targets to be passed to the simulator. - - Expected to return a QTable or dictionary. If a QTable then len of table should be self.size. - If dictionary then each dictionary key should point to a list of length self.size. - - All values stored as Quantity objects to allow conversion to desired units before passing to the SurveySubsF95.detos1 - - Must define at least {'a': [], 'e': [], 'inc': [], 'node': [], 'peri': [], 'M': [], 'H': []} see OSSSSim.simulate for full - list of keys that can be returned. - - Returns: - (QTable or dict): set of Quantity objects describing targets. - """ - self._a = self._e = self._inc = self._node = self._peri = self._M = None - self._H = self._lc_gb = self._lc_phase = self._lc_period = self._lc_amplitude = None - self._resamp = self._colors = self._cartesian = self._sim = None - - return QTable([self.a, self.e, self.inc, self.node, self.peri, self.M, - self.j, self.k, self.phi, self.resamp, - self.cartesian['x'], self.cartesian['y'], self.cartesian['z'], - self.cartesian['vx'], self.cartesian['vy'], self.cartesian['vz'], - self.H, self.lc_gb, self.lc_phase, self.lc_period, self.lc_amplitude, - self.colors, self.comp], - names=['a', 'e', 'inc', 'node', 'peri', 'M', - 'j', 'k', 'phi', 'resamp', - 'x', 'y', 'z', - 'vx', 'vy', 'vz', - 'H', 'lc_gb', 'lc_phase', 'lc_period', 'lc_amplitude', - 'colors', 'comp', - ]) - - @property - def targets(self): - """ - A table of length self.size holding the generated distribution of targets. - - """ - if self._targets is None: - self._targets = self._generate_targets() - return self._targets - - @targets.setter - def targets(self, value): - """ - set targets to Table stored in value. - - Args: - value (Table or None): value to set targets to. - """ - if not isinstance(value, QTable) and value is not None: - raise ValueError(f"Attempted to set targets table to something that isn't a table: {value}") - self._targets = value - - @property - def iter(self): - """ - An iterator on self.targets table - """ - if self._iter is None: - self._iter = iter(self.targets) - return self._iter - - @iter.setter - def iter(self, value): - self._iter = value - - def __iter__(self): - return self - - def __next__(self): - """ - return the next row from the orbits table via the `iterator` on the table. - - If we hit the end of orbits table then call draw_distribution to refresh the table. - """ - try: - row = next(self.iter) - except StopIteration: - # Clear the targets table so a new distribution will be generated. - self._iter = None - self.targets = None - row = next(self.iter) - - return row - - -class Resonant(Parametric): - """ - This class defines methods needed to build a parametric Outer Solar System model for use as a model input for OSSSSim - """ - - def __init__(self, - size=10**6, - seed=123456789, - component='Res', - longitude_neptune=5.876 * units.rad, - epoch=2456839.5 * units.day, - j=0, - k=0, - res_amp_low=0*units.deg, - res_amp_mid=5*units.deg, - res_amp_high=10*units.deg, - res_centre=0*units.deg): - """ - Setup the boundaries of the simulation. size and seed are used to initialize a dist_utils.Distribution class. - - longitude_neptune and epoch are stored in self,longitude_neptune and self.epoch for use in - self._generate_targets. - - See examples/models.py for an example implementation. - - Args: - size (int): Determines size of the arrays to be generated (default=10^6). - seed (int): Initialize distributions with this seed to enable reproducible models. - component (str): Name of this component, stored in output files. - longitude_neptune (Quantity): The ecliptic longitude of Neptune at epoch_neptune of elements. - epoch (Quantity): The epoch_neptune of the given longitude of Neptune. - j (int): the j/k MMR with Neptune, set to 0 if not a resonant orbit. - k (int): the j/k MMR with Neptune, set to 0 if not a resonant orbit. - res_centre (Quantity): centre of the resonance phi libration. - res_amp_low (Quantity): low end of amplitude of phi oscillation - res_amp_mid (Quantity): middle of the amplitude of phi oscillation - res_amp_high (Quantity): top end of phi oscillation - - For resonant amplitude is drawn from a distribution that starts at res_amp_low, - peaks at res_amp_mid and back to 0 at res_amp_high. Generally uses distributions.Distribution.triangle - - """ - super().__init__(size=size, seed=seed, epoch=epoch, longitude_neptune=longitude_neptune, - j=j, k=k) - - if j is None or k is None: - ValueError(f"Resonance j/k are not None for Resonant Model objects") - self._res_amp_low = self._res_amp_high = self._res_amp_mid = self._phi0 = None - self.res_amp_low = res_amp_low - self.res_amp_high = res_amp_high - self.res_amp_mid = res_amp_mid - self.res_centre = res_centre - self.comp = component.replace(" ", "_") - - @property - def res_amp_low(self): - """Low end of resonance amplitude""" - return self._res_amp_low - - @res_amp_low.setter - def res_amp_low(self, value): - self._res_amp_low = value - - @property - def res_amp_mid(self): - """Low end of resonance amplitude""" - return self._res_amp_mid - - @res_amp_mid.setter - def res_amp_mid(self, value): - self._res_amp_mid = value - - @property - def res_amp_high(self): - """Low end of resonance amplitude""" - return self._res_amp_high - - @res_amp_high.setter - def res_amp_high(self, value): - self._res_amp_high = value - - @property - def res_centre(self): - """Low end of resonance amplitude""" - return self._res_centre - - @res_centre.setter - def res_centre(self, value): - self._res_centre = value - - @property - def phi0(self): - """Resonance centre""" - return self.res_centre - - @property - def a(self): - """ - J2000 Heliocentric semi-major axis sampled as +/- 0.5 from the resonance semi-major axis value. - """ - if self._a is None: - a0 = (self.a_neptune ** (3 / 2) * self.j / self.k) ** (2 / 3) - a_min = a0 - 0.5 * units.au - a_max = a0 + 0.5 * units.au - self._a = self.distributions.uniform(a_min.to('au').value, - a_max.to('au').value) * units.au - return self._a - - @property - def e(self): - """ - Set the maximum value of 'e' based on the peri-center location of Neptune, minimum value set to 0.02 then randomly sample this - range of e. - """ - if self._e is None: - self._e = self.distributions.uniform(0.05, 0.25) - return self._e - - @property - def inc(self): - """ - Distribute the inclinations based on Brown 2001 functional form. - """ - if self._inc is None: - self._inc = self.distributions.truncated_sin_normal(0, - numpy.deg2rad(11), - 0, - numpy.deg2rad(40)) * units.rad - return self._inc - - @property - def peri(self): - """ - Distribute peri centre to obey the phi/M/_longitude_neptune constraints. - - See Volk et al. 2016 for info on computing peri given a choice phi. - """ - if self._peri is None: - # self._peri = (self.phi - p*self.M + q*self.longitude_neptune - q*self.node)/q - p = self.j - q = self.k - self._peri = ((self.phi - p*self.M + q*self.longitude_neptune - q*self.node)/q) % (360*units.deg) - # below is different algebra to get the same result - # self._peri = (self.phi / self.k - self.j * self.M / self.k + self.longitude_neptune - self.node) % (360 * units.deg) - return self._peri - - @property - def phi(self): - """ - Compute the phi, libration centre from the resonance centre and sampling the resonance amplitude via sin() weighting. - """ - if self._phi is None: - amplitudes = numpy.sin(self.distributions.uniform(0, 2*numpy.pi)) - self._phi = self.res_centre + amplitudes*self.resamp - return self._phi - - @property - def resamp(self): - """ - amplitude of the distribution of resonance centres around libration centre, used in self.phi - """ - if self._resamp is None: - self._resamp = self.distributions.triangle(self.res_amp_low.to('rad').value, - self.res_amp_mid.to('rad').value, - self.res_amp_high.to('rad').value) * units.rad - return self._resamp diff --git a/python/setup.py b/python/setup.py deleted file mode 100644 index a9ef4bd..0000000 --- a/python/setup.py +++ /dev/null @@ -1,27 +0,0 @@ -from setuptools import setup, find_packages -import subprocess -import logging -import shutil -import os - - -logging.info("Building the F95 modules") -make=shutil.which('make') -F95_DIR="../fortran/F95" -LIB_DIR="ossssim/lib" -subprocess.run([make, "-s", "Modules"], cwd=F95_DIR) - -for filename in [ "SurveySubsF95.py", "_SurveySubsF95.so"]: - try: - os.unlink(os.path.join(LIB_DIR, filename)) - except FileNotFoundError: - pass - shutil.move(os.path.join(F95_DIR, filename), LIB_DIR) - -from ossssim import __version__ - -setup(name='ossssim', - version=__version__.version, - packages=find_packages(exclude=['test', 'examples']), - test_suite="tests", - include_package_data=True ) diff --git a/python/tests/test_osssim.py b/python/tests/test_osssim.py deleted file mode 100644 index 0b1d706..0000000 --- a/python/tests/test_osssim.py +++ /dev/null @@ -1,32 +0,0 @@ -import unittest -from astropy.units import Quantity -import ossssim -from tempfile import NamedTemporaryFile - -class OSSSIMTest(unittest.TestCase): - def setUp(self): - self.model = ossssim.ModelFile('data/test_model.dat') - self.detect_fobj = NamedTemporaryFile() - self.detect_filename = self.detect_fobj.name - result = ossssim.ModelFile('data/test_detect.dat') - self.result_row = next(iter(result)) - self.seed = int(result.header['Seed']) - self.osssim = ossssim.OSSSSim('data/Surveys/CFEPS') - - def test_simulate(self): - # loop over the model file until we have a detection and then compare the detected row values to the test row - for row in self.model: - result_row = self.osssim.simulate(row, seed=self.seed, epoch=self.model.epoch) - if result_row['flag'] > 0: - for key in row: - test_value = row[key] - result_value = result_row[key] - if isinstance(test_value, Quantity): - test_value = test_value.to(ossssim.definitions.colunits[key]).value - result_value = result_value.to(ossssim.definitions.colunits[key]).value - self.assertAlmostEqual(test_value, result_value, 4) - break - - -if __name__ == '__main__': - unittest.main() diff --git a/python_examples/HST_Test.ipynb b/python_examples/HST_Test.ipynb new file mode 100644 index 0000000..913650d --- /dev/null +++ b/python_examples/HST_Test.ipynb @@ -0,0 +1,592 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "a166da12-a038-4f86-b109-2327559670ab", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "Import the packages needed to simulation of detections and modelling orbital distributions.\n", + "\"\"\"\n", + "%load_ext autoreload\n", + "%autoreload 2\n", + "import ossssim\n", + "from ossssim import models\n", + "from ossssim import OSSSSim, DetectFile, ModelFile, ModelOutputFile \n", + "from astropy import units\n", + "import numpy\n", + "import os\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "4b8baa4a-49fa-4dd1-aea5-c94dc6c2c1e9", + "metadata": {}, + "outputs": [], + "source": [ + "# setup some paths to characterization files and where to store your model outputs.\n", + "CHARACTERIZATION_DIR=\"Surveys\"\n", + "MODEL_OUTPUT_DIR=os.getenv('HOME')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "a7e0dbc6-5a26-4103-acf4-bf28d364f0b1", + "metadata": {}, + "outputs": [], + "source": [ + "# I load this Distributions object here so I can select on the Context Senstive Help \n", + "# On the object (click on Distributions) and see what funcitons are defined. \n", + "from ossssim.distributions import Distributions" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "optional-testament", + "metadata": {}, + "outputs": [], + "source": [ + "# We create new populations by defining a new class of Parametric or Implanted class defined in models. \n", + "# A Parametric based orbit model gets a 'cold-classical' H-distribution by default while an Implanted based model gets a \n", + "# H-distribution that is more consistent with the hot-classicals\n", + "\n", + "# NOTE The distributions of orbital elemetns are set by defining the functions with names that match the pattern:\n", + "# {element}_distribution (e.g. a_distribution, e_distribution, M_distribution where the value of element is one of\n", + "# [a, e, inc, node, peri, M, H, peri, phi]\n", + "\n", + "# NOTE: When defining a distribution we call the distributions attached to the model (e.g. self.distributions.FUNCTION_NAME )\n", + "# this is to ensure that all our distributions are seeded with a common random number and we can thuse re-produce a model if \n", + "# we know the seed value.\n", + "\n", + "class Hot(models.Implanted):\n", + " \"\"\"\n", + " Class used to create hot classical belt objects. These model classes generate the orbit/H distributions and provide methods to \n", + " access the generated srouces.\n", + "\n", + " To build an orbit distribution one defines:\n", + "\n", + " a_distribution\n", + " e_distribution or q_distribution\n", + " inc_distribution\n", + "\n", + " By default 'Implanted' class objects have randomized {M|Omega|omega}_distribution functions.\n", + " \n", + " \"\"\"\n", + " def __init__(self, q_min=36*units.au, q_max=40*units.au, q_centre=38*units.au,\n", + " q_width=1*units.au, a_max=100*units.au, a_beta=-5/2, model_band='r', \n", + " size=100000, **kwargs):\n", + " \"\"\"Build a Hot model orbital element distribution based on the peri-centre distribution \n", + " and declining 'a' distributions as a^beta power\n", + " \n", + " \"\"\"\n", + " super().__init__(size=size, H_max=12.5, model_band=model_band, **kwargs)\n", + " # We will define a q_distribution method and here we define the parameters needed for that distribution.\n", + " self.q_min = q_min\n", + " self.q_max = q_max\n", + " self.q_centre = q_centre\n", + " self.q_width = q_width\n", + " # define the parameters needed for our 'a_distribution' defined below.\n", + " self.a_max = a_max\n", + " self.a_beta = a_beta\n", + "\n", + " @property\n", + " def q_distribution(self):\n", + " \"\"\"\n", + " This function defines the distribution of 'q' values that model objects will have. Here\n", + " we are using the 'distributions' instance of 'Implanted' to create a normal distribution of \n", + " q values. The 'distributions' instance of the Distributions class keeps track of the random\n", + " number generator and the size of sample each call should provide. The seed and size are \n", + " set when this 'Hot' class is frist instantiated. \n", + " \n", + " A Normal or Gaussian distribution where we clip values above max and below min to remove\n", + " the long tails of the Normal disrtibution.\n", + " \"\"\"\n", + " return self.distributions.truncated_normal(mu=self.q_centre.to('au').value, \n", + " maximum=self.q_max.to('au').value, \n", + " minimum=self.q_min.to('au').value, \n", + " sigma=self.q_width.to('au').value) * units.au\n", + "\n", + " @property\n", + " def q(self):\n", + " if self._q is None:\n", + " self._q = self.q_distribution\n", + " return self._q\n", + "\n", + " @property\n", + " def a_distribution(self):\n", + " \"\"\"\n", + " Limited to be larger than 'q' but and declining in density with a to the power -5/2\n", + " \"\"\"\n", + "\n", + " # Following is a standard pattern for creating your own distribution of a value.\n", + " # This approach works for distributions that are monotomic and easy to interpolate over.\n", + "\n", + " # First define a vector that samples the range of values we should return. \n", + " # Model is to sample 'a' values that extend from q_min to some 'a_max'. \n", + " # This choice of limits on 'a' is our model, other choices could be made.\n", + " fp = numpy.linspace(self.q_min.to('au').value, \n", + " self.a_max.to('au').value, \n", + " num=1000)\n", + "\n", + " # now compute the value of the distribution function between those ranges.\n", + " xp = (fp/self.q_min.to('au').value)**self.a_beta\n", + " xp = xp.cumsum() / xp.sum() # Normalizes the cdf\n", + " \n", + " # we don't what a fully uniform distribution of 'xp' (likelihood of a given a value) \n", + " # as we have the additional constraint that a must be > q so we need to eliminate the 'xp' \n", + " # values that would return fp < q (i.e. the distribution is undefined for cases where aq and the maximum value of xo.\n", + " interpolator = self.distributions.rnd_gen.uniform(xp_min, xp[-1], self.size)\n", + "\n", + " # Calls the interpolation function to generate a randomized array, corresponding to the probability\n", + " # density, by interpolating between the given points.\n", + " return numpy.interp(interpolator, xp, fp) * units.au\n", + " \n", + " @property\n", + " def e_distribution(self):\n", + " \"\"\"\n", + " Eccentricity axis distribution for a narrow ring\n", + " \"\"\"\n", + " a = self.a \n", + " q = self._q\n", + " e = 1 - q/a\n", + " return 1 - self.q/self.a\n", + "\n", + " @property\n", + " def inc_distribution(self):\n", + " \"\"\"\n", + " Inclination distribution for a narrow ring\n", + " \"\"\"\n", + " # truncated_sin_normal expects to get values in radians. \n", + " return self.distributions.truncated_sin_normal(0.0, 9.0/57.3, 0.0, 45/57.3) * units.radian\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "491074fe-6002-41d1-88e3-17ace4b0b488", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/kavelaarsj/venv/lib/python3.12/site-packages/rebound/simulation.py:153: RuntimeWarning: Binary file was saved with a different version of REBOUND. Binary format might have changed.\n", + " warnings.warn(message, RuntimeWarning)\n", + "/Users/kavelaarsj/venv/lib/python3.12/site-packages/rebound/simulation.py:153: RuntimeWarning: Encountered unknown field in file. File might have been saved with a different version of REBOUND.\n", + " warnings.warn(message, RuntimeWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# confirm that the 'q' distribution looks like what we want.\n", + "hot = Hot(size=10000000)\n", + "# import scipy\n", + "from matplotlib import pyplot as plt\n", + "n = plt.hist(hot.q, histtype='step', bins=500)\n", + "plt.xlabel('q (au)')\n", + "plt.ylabel('N')\n", + "# expected function, normalized to match the histogram bins from the model \n", + "x = numpy.linspace((n[1][0]+n[1][1])/2, (n[1][-1]+n[1][-2])/2, 1000) * units.au\n", + "n = (numpy.exp(-(x - hot.q_centre) ** 2 / (2 * hot.q_width ** 2))) * numpy.array(n[0]).max()\n", + "plt.plot(x, n)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "c98f2302-973a-4c72-94fe-f48d75425599", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# confirm that the 'inc' distribution looks like what we want.\n", + "# import scipy\n", + "from matplotlib import pyplot as plt\n", + "n = plt.hist(hot.inc, histtype='step', bins=500)\n", + "peak = numpy.array(n[0]).max()\n", + "plt.xlabel('inc (radians)')\n", + "plt.ylabel('N')\n", + "# expected function, normalized to match the histogram bins from the model \n", + "x = numpy.linspace((n[1][0]+n[1][1])/2, (n[1][-1]+n[1][-2])/2, 1000) * units.radian\n", + "n = numpy.sin(x)*(numpy.exp(-x ** 2 / (2 * (9/57.3*units.radian)** 2)))\n", + "n = peak*n/n.max()\n", + "plt.plot(x, n)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "66c294c0-d609-48f2-ac65-6a7c4a1f0e63", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/kavelaarsj/venv/lib/python3.12/site-packages/rebound/simulation.py:153: RuntimeWarning: Binary file was saved with a different version of REBOUND. Binary format might have changed.\n", + " warnings.warn(message, RuntimeWarning)\n", + "/Users/kavelaarsj/venv/lib/python3.12/site-packages/rebound/simulation.py:153: RuntimeWarning: Encountered unknown field in file. File might have been saved with a different version of REBOUND.\n", + " warnings.warn(message, RuntimeWarning)\n" + ] + } + ], + "source": [ + "# to determine if an object was detectable we use an OSSSSim object, initializing it with the name of directory holding the \n", + "# survey characterization of interest.\n", + "ssim = OSSSSim(characterization_directory=os.path.join(CHARACTERIZATION_DIR,'HST'), seed=123456789)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "9f71395e-e329-41a5-9ee8-784896b6dbd3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['HST', 'CFEPS']" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.listdir(CHARACTERIZATION_DIR)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "7fdd33ac-5970-4b00-863d-e415b4a14980", + "metadata": {}, + "outputs": [], + "source": [ + "model = Hot(size=100000)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "c9458efd-1807-4b0d-beac-bf3779e757b5", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/kavelaarsj/venv/lib/python3.12/site-packages/rebound/simulation.py:153: RuntimeWarning: Binary file was saved with a different version of REBOUND. Binary format might have changed.\n", + " warnings.warn(message, RuntimeWarning)\n", + "/Users/kavelaarsj/venv/lib/python3.12/site-packages/rebound/simulation.py:153: RuntimeWarning: Encountered unknown field in file. File might have been saved with a different version of REBOUND.\n", + " warnings.warn(message, RuntimeWarning)\n", + "/Users/kavelaarsj/venv/lib/python3.12/site-packages/astropy/table/table.py:3245: UserWarning: Units from inserted quantities will be ignored.\n", + "If you were hoping to fill a QTable row by row, also initialize the units before starting, for instance\n", + "QTable(names=['a', 'e', 'inc', 'node', 'peri', 'M', 'H', 'q', 'comp', 'j', 'k', 'x', 'y', 'z'], units=['AU', '', 'deg', 'deg', 'deg', 'deg', 'mag', 'AU', None, None, None, 'AU', 'AU', 'AU'])\n", + " self.insert_row(len(self), vals, mask)\n" + ] + }, + { + "ename": "ValueError", + "evalue": "_ossssimlib._ossssimlib.f90wrap_surveysub__detos1: failed to create array from the 4th argument `color` -- 0-th dimension must be fixed to 128 but got 59", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mValueError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[18]\u001b[39m\u001b[32m, line 29\u001b[39m\n\u001b[32m 27\u001b[39m row = \u001b[38;5;28mnext\u001b[39m(model)\n\u001b[32m 28\u001b[39m model_save_file.write_row(row)\n\u001b[32m---> \u001b[39m\u001b[32m29\u001b[39m result = \u001b[43mssim\u001b[49m\u001b[43m.\u001b[49m\u001b[43msimulate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrow\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[32m 30\u001b[39m \u001b[43m \u001b[49m\u001b[43mepoch\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m.\u001b[49m\u001b[43mepoch\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[32m 31\u001b[39m \u001b[43m \u001b[49m\u001b[43mcolors\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcolors\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[32m 32\u001b[39m \u001b[43m \u001b[49m\u001b[43mmodel_band\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m.\u001b[49m\u001b[43mmodel_band\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 33\u001b[39m \u001b[43m \u001b[49m\u001b[43mdebug\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[32m 34\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m result[\u001b[33m'\u001b[39m\u001b[33mflag\u001b[39m\u001b[33m'\u001b[39m] > \u001b[32m0\u001b[39m:\n\u001b[32m 35\u001b[39m n_detections += \u001b[32m1\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/venv/lib/python3.12/site-packages/ossssim/core.py:212\u001b[39m, in \u001b[36mOSSSSim.simulate\u001b[39m\u001b[34m(self, row, colors, model_band, seed, epoch, debug)\u001b[39m\n\u001b[32m 206\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m H \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 207\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[33m\"\u001b[39m\u001b[33mH or h must be provided to simulate\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 209\u001b[39m row[\u001b[33m'\u001b[39m\u001b[33mflag\u001b[39m\u001b[33m'\u001b[39m], row[\u001b[33m'\u001b[39m\u001b[33mRA\u001b[39m\u001b[33m'\u001b[39m], row[\u001b[33m'\u001b[39m\u001b[33mDEC\u001b[39m\u001b[33m'\u001b[39m], row[\u001b[33m'\u001b[39m\u001b[33md_ra\u001b[39m\u001b[33m'\u001b[39m], row[\u001b[33m'\u001b[39m\u001b[33md_dec\u001b[39m\u001b[33m'\u001b[39m], row[\u001b[33m'\u001b[39m\u001b[33mr\u001b[39m\u001b[33m'\u001b[39m], row[\u001b[33m'\u001b[39m\u001b[33mdelta\u001b[39m\u001b[33m'\u001b[39m], \\\n\u001b[32m 210\u001b[39m row[\u001b[33m'\u001b[39m\u001b[33mm_int\u001b[39m\u001b[33m'\u001b[39m], row[\u001b[33m'\u001b[39m\u001b[33mm_rand\u001b[39m\u001b[33m'\u001b[39m], row[\u001b[33m'\u001b[39m\u001b[33meff\u001b[39m\u001b[33m'\u001b[39m], isur, row[\u001b[33m'\u001b[39m\u001b[33mMt\u001b[39m\u001b[33m'\u001b[39m], jdayp, ic, row[\u001b[33m'\u001b[39m\u001b[33mSurvey\u001b[39m\u001b[33m'\u001b[39m], \\\n\u001b[32m 211\u001b[39m row[\u001b[33m'\u001b[39m\u001b[33mh_rand\u001b[39m\u001b[33m'\u001b[39m], ierr = \\\n\u001b[32m--> \u001b[39m\u001b[32m212\u001b[39m \u001b[43mossssimlib\u001b[49m\u001b[43m.\u001b[49m\u001b[43msurveysub\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdetos1\u001b[49m\u001b[43m(\u001b[49m\u001b[43mo_m\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 213\u001b[39m \u001b[43m \u001b[49m\u001b[43mepoch_jd\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 214\u001b[39m \u001b[43m \u001b[49m\u001b[43mH\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 215\u001b[39m \u001b[43m \u001b[49m\u001b[43mcolor_offset_array\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 216\u001b[39m \u001b[43m \u001b[49m\u001b[43mgb\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 217\u001b[39m \u001b[43m \u001b[49m\u001b[43mphase\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 218\u001b[39m \u001b[43m \u001b[49m\u001b[43mperiod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 219\u001b[39m \u001b[43m \u001b[49m\u001b[43mamplitude\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 220\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mcharacterization_directory\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 221\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mseed\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 222\u001b[39m \u001b[43m \u001b[49m\u001b[43mdebug\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 223\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m ierr != \u001b[32m0\u001b[39m:\n\u001b[32m 224\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mSSim failed with error code: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mierr\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/venv/lib/python3.12/site-packages/ossssimlib/surveysub.py:63\u001b[39m, in \u001b[36mdetos1\u001b[39m\u001b[34m(self, jday, hx, color, gb, ph, period, amp, surnam, seed, debug_on)\u001b[39m\n\u001b[32m 17\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mdetos1\u001b[39m(\u001b[38;5;28mself\u001b[39m, jday, hx, color, gb, ph, period, amp, surnam, seed, debug_on):\n\u001b[32m 18\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 19\u001b[39m \u001b[33;03m flag, ra, dec, d_ra, d_dec, r, delta, m_int, m_rand, eff, isur, mt, jdayp, ic, \\\u001b[39;00m\n\u001b[32m 20\u001b[39m \u001b[33;03m surna, h_rand, ierr = detos1(self, jday, hx, color, gb, ph, period, amp, \\\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 59\u001b[39m \u001b[33;03m \u001b[39;00m\n\u001b[32m 60\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m 61\u001b[39m flag, ra, dec, d_ra, d_dec, r, delta, m_int, m_rand, eff, isur, mt, jdayp, ic, \\\n\u001b[32m 62\u001b[39m surna, h_rand, ierr = \\\n\u001b[32m---> \u001b[39m\u001b[32m63\u001b[39m \u001b[43m_ossssimlib\u001b[49m\u001b[43m.\u001b[49m\u001b[43mf90wrap_surveysub__detos1\u001b[49m\u001b[43m(\u001b[49m\u001b[43mo_m\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_handle\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjday\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjday\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhx\u001b[49m\u001b[43m=\u001b[49m\u001b[43mhx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m\\\u001b[49m\n\u001b[32m 64\u001b[39m \u001b[43m \u001b[49m\u001b[43mcolor\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcolor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgb\u001b[49m\u001b[43m=\u001b[49m\u001b[43mgb\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mph\u001b[49m\u001b[43m=\u001b[49m\u001b[43mph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mperiod\u001b[49m\u001b[43m=\u001b[49m\u001b[43mperiod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mamp\u001b[49m\u001b[43m=\u001b[49m\u001b[43mamp\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msurnam\u001b[49m\u001b[43m=\u001b[49m\u001b[43msurnam\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mseed\u001b[49m\u001b[43m=\u001b[49m\u001b[43mseed\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m\\\u001b[49m\n\u001b[32m 65\u001b[39m \u001b[43m \u001b[49m\u001b[43mdebug_on\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdebug_on\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 66\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m flag, ra, dec, d_ra, d_dec, r, delta, m_int, m_rand, eff, isur, mt, \\\n\u001b[32m 67\u001b[39m jdayp, ic, surna, h_rand, ierr\n", + "\u001b[31mValueError\u001b[39m: _ossssimlib._ossssimlib.f90wrap_surveysub__detos1: failed to create array from the 4th argument `color` -- 0-th dimension must be fixed to 128 but got 59" + ] + } + ], + "source": [ + "# let's create a model that is 50% twotinos and 50% 'Ring'\n", + "from numpy import random\n", + "import sys\n", + "n_detections = n_iterations = n_tracked = 0\n", + "\n", + "def delete_if_file_exists(filename):\n", + " import os\n", + " if os.access(filename, os.F_OK):\n", + " os.remove(filename)\n", + "\n", + "model_filename = os.path.join(MODEL_OUTPUT_DIR,'example_model.txt')\n", + "detect_filename = os.path.join(MODEL_OUTPUT_DIR, 'example_detect.txt')\n", + "\n", + "# Create some objects to store our model and our detections.\n", + "# First we delete any existing files with these names as all writes are appends.\n", + "for filename in [model_filename, detect_filename]:\n", + " delete_if_file_exists(filename)\n", + " \n", + "model_save_file=ModelOutputFile(filename=model_filename)\n", + "detect_save_file=DetectFile(filename=detect_filename)\n", + "\n", + "\n", + "total_iterations = 1\n", + "\n", + "while n_detections < total_iterations:\n", + " n_iterations += 1\n", + " row = next(model)\n", + " model_save_file.write_row(row)\n", + " result = ssim.simulate(row, \n", + " epoch=model.epoch, \n", + " colors=model.colors, \n", + " model_band=model.model_band,\n", + " debug=False)\n", + " if result['flag'] > 0:\n", + " n_detections += 1\n", + " detect_save_file.write_row(result)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "decreased-division", + "metadata": {}, + "outputs": [], + "source": [ + "# some diagnostic plots\n", + "import matplotlib as mpl\n", + "from matplotlib import pyplot\n", + "# This installation has no fonts, if working on a local device you might set your font here.\n", + "mpl.rcParams['font.family'] = []\n", + "mpl.rcParams['font.serif'] = []\n", + "pyplot.plot(model_save_file.table['a'], model_save_file.table['e'], ',g', label='cold')\n", + "pyplot.ylabel('e')\n", + "pyplot.xlabel('a (au)')\n", + "pyplot.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "2923c95b-1c8a-4494-9553-01f7ab063648", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "a = numpy.array(model_save_file.table['a'])\n", + "q = numpy.array(model_save_file.table['q'])\n", + "pyplot.hist(a, bins=30, histtype='step', label='a')\n", + "pyplot.hist(q, bins=30, histtype='step', label='q')\n", + "# pyplot.ylabel('q (au)')\n", + "pyplot.xlabel('a/q (au)')\n", + "pyplot.yscale('log')\n", + "pyplot.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "51ac07aa-bef8-4479-a66c-3b5fa18e9258", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "H = numpy.array(model_save_file.table['H'])\n", + "pyplot.hist(H, cumulative=True, bins=30, histtype='step', label='H')\n", + "# pyplot.ylabel('q (au)')\n", + "pyplot.xlabel('H')\n", + "pyplot.yscale('log')\n", + "pyplot.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "4a9c83a8-0b2c-47c9-a8b0-90f6e76454df", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inc = numpy.array(model_save_file.table['inc'])\n", + "pyplot.hist(inc, cumulative=False, bins=30, histtype='step', label='inc')\n", + "# pyplot.ylabel('q (au)')\n", + "pyplot.xlabel('inc')\n", + "pyplot.yscale('log')\n", + "pyplot.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "latin-bullet", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/SSim/python/ossssim/plotter.py:143: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n", + " self.ax1.set_xticklabels(x_tick_labels, color='b', alpha=0.6)\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib as mpl\n", + "from ossssim import plotter\n", + "# This installation has no fonts, if working on a local device you might set your font here.\n", + "mpl.rcParams['font.family'] = []\n", + "mpl.rcParams['font.serif'] = []\n", + "\n", + "plot = plotter.RosePlot(epoch=model_save_file.epoch)\n", + "plot.add_model(model_save_file, ms=0.1, mc='k', alpha=0.2)\n", + "plot.add_model(detect_save_file, ms=5, mc='g')\n", + "plot.add_planets()\n", + "plot.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "77373ab8-9cfc-43fa-b7f1-25fece5b03a4", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/python/examples/Models/InnerHot.in b/python_examples/Models/InnerHot.in similarity index 100% rename from python/examples/Models/InnerHot.in rename to python_examples/Models/InnerHot.in diff --git a/python/examples/Models/Resonance_3_2-g.in b/python_examples/Models/Resonance_3_2-g.in similarity index 100% rename from python/examples/Models/Resonance_3_2-g.in rename to python_examples/Models/Resonance_3_2-g.in diff --git a/python_examples/Plutino.ipynb b/python_examples/Plutino.ipynb new file mode 100644 index 0000000..dd1a813 --- /dev/null +++ b/python_examples/Plutino.ipynb @@ -0,0 +1,382 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 7, + "id": "9e4b284d-b8a1-4d98-ab80-e9b4da6f8da1", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "Generate model KBOs orbits from a distribution function and determine if any are detected by a given survey.\n", + "\"\"\"\n", + "from ossssim.models import Resonant, DetectFile\n", + "from ossssim import definitions, plotter, ModelFile, ModelOutputFile\n", + "from ossssim import OSSSSim\n", + "import os\n", + "import matplotlib as mpl\n", + "from astropy.table import Table\n", + "from astropy import units\n", + "import rebound\n", + "# This installation has no fonts, if working on a local device you might set your font here.\n", + "mpl.rcParams['font.family'] = []\n", + "mpl.rcParams['font.serif'] = []\n", + "\n", + "\n", + "\n", + "def run(model, ssim, model_file, detect_file, n_track):\n", + " \"\"\"\n", + " Using the ParametricModel defined here run the survey simulator and save detected sources to detect_filename\n", + "\n", + " Args:\n", + " model_file (ModelFile): A ModelFile object to store the generated model in\n", + " ssim (OSSSSim) : A survey simulator object that describes the characterization of the survey \n", + " detect_filename (DetectFile): A DetectFile object to store the detected sources to\n", + " characterization_directory (str): Relative or absolute path to directory on disk where the characterization files are organized\n", + " seed (int): random number seed, specifying allows reproducibility\n", + " n_track (int): < 0 continue for ntrack iterations;\n", + " > 0 continue until n_tracked tracked detections;\n", + " = 0 continue until input exhausted\n", + " \"\"\"\n", + "\n", + " n_iter = n_tracked = n_hits = 0\n", + " for row in model:\n", + " n_iter += 1\n", + " model_file.write_row(row)\n", + " result = ssim.simulate(row, epoch=model.epoch, seed=model.seed, colors=model.colors, model_band=model.model_band)\n", + " if result['flag'] > 0:\n", + " n_hits += 1\n", + " detect_file.write_row(result)\n", + " if result['flag'] > 2:\n", + " n_tracked += 1\n", + " if (0 < n_track < n_tracked) or (0 < -n_track < n_iter):\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ee2e25e7-517d-43bf-a1df-ab9787ad9c97", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/usr/bin/sh: 1: LS: not found\n" + ] + } + ], + "source": [ + "!LS" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "8622db2e-9564-4113-9e93-2811de1ac9ce", + "metadata": {}, + "outputs": [], + "source": [ + "seed = 123446789\n", + "characterization_directory = 'Surveys/CFEPS'\n", + "model_filename = 'PlutinoModel.dat'\n", + "detection_filename = 'PlutinoDetection.dat'\n", + "ssim = OSSSSim(characterization_directory=characterization_directory)\n", + "if os.access(model_filename, os.F_OK):\n", + " os.remove(model_filename)\n", + "if os.access(detection_filename, os.F_OK):\n", + " os.remove(detection_filename)\n", + "\n", + "# the default Resonant class arguments setup for a Plutino model....\n", + "model = Resonant(j=4, k=1, seed=seed, comp='plutino_implanted', size=100)\n", + "model_file = ModelOutputFile(filename=model_filename, epoch=model.epoch, colors=model.colors,\n", + " longitude_neptune=model.longitude_neptune)\n", + "detect_file = DetectFile(filename=detection_filename, epoch=model.epoch, colors=model.colors,\n", + " longitude_neptune=model.longitude_neptune)\n", + "run(model, ssim, model_file, detect_file, n_track=-5000)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "fb6413d7-9ab9-42c5-b557-6a83db820b53", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/SSim/python/ossssim/plotter.py:143: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n", + " self.ax1.set_xticklabels(x_tick_labels, color='b', alpha=0.6)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "def face_down_plot(model_filename: str, detection_filename: str) -> None:\n", + " \"\"\"_\n", + " Plot the detected objects in a face-down plot\n", + " Args:\n", + " detect_file: name of file with the detected sources\n", + " \"\"\"\n", + " plot = plotter.RosePlot(definitions.Neptune['Longitude'], outer_edge=125*units.au)\n", + " #plot.add_model(ModelFile(detection_filename), ms=5, mc='g')\n", + " plot.add_model(ModelFile(model_filename), mc='k', ms=1, alpha=1)\n", + " # plot.plot_rings()\n", + " plot.show()\n", + "model_filename = 'PlutinoModel.dat'\n", + "detection_filename = 'PlutinoDetection.dat'\n", + "\n", + "face_down_plot(model_filename, detection_filename)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e7749e7e-23c0-4c01-b32c-9dcea724c0c7", + "metadata": {}, + "outputs": [], + "source": [ + "from matplotlib import pyplot\n", + "from astropy.table import Table\n", + "from astropy.coordinates import SkyCoord\n", + "ms = 1\n", + "alpha = 1\n", + "mc = {'PlutinoDetection.dat': 'g', 'PlutinoModel.dat': 'k'}\n", + "ms = {'PlutinoDetection.dat': 5, 'PlutinoModel.dat': 1}\n", + "fig = pyplot.figure(figsize=(8, 8))\n", + "rect = [0.0725, 0.0725, 0.85, 0.85] # the plot occupies not all the figure space\n", + "ax1 = fig.add_axes(rect, polar=True, frameon=False) \n", + "for name in ['PlutinoModel.dat', 'PlutinoModel.dat']:\n", + " print(name)\n", + " d = Table.read(name, format='ascii.ecsv')\n", + " d['coord'] = SkyCoord(d['x'], d['y'], d['z'], representation_type='cartesian',\n", + " frame='heliocentrictrueecliptic', obstime='2000-01-01').transform_to('heliocentrictrueecliptic')\n", + " \n", + " ax1.plot(d['coord'].lon.to('rad').value,\n", + " d['coord'].distance.to('au').value,\n", + " f'.{mc[name]}',\n", + " markersize=ms[name],\n", + " alpha=alpha)\n", + " print(name, d['coord'].distance.min())\n", + " print(name, d['coord'].distance.max())\n", + " print(((d['x']**2 + d['y']**2 + d['z']**2)**0.5).max())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "174744c6-8d3a-451b-9197-e3e204fd121c", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib as mpl\n", + "from matplotlib import pyplot\n", + "from ossssim import plotter, ModelFile, definitions\n", + "from astropy import units\n", + "# This installation has no fonts, if working on a local device you might set your font here.\n", + "mpl.rcParams['font.family'] = []\n", + "mpl.rcParams['font.serif'] = []\n", + "name = 'PlutinoModel.dat'\n", + "d = Table.read(name, format='ascii.ecsv')\n", + "# ((self.phi - self.j * self.M + self.k * (self.longitude_neptune - self.node)) / self.k) % (360 * units.deg)\n", + "phi = (d['peri']*d['k'] + d['j']*d['M'] - d['k']*(d.meta['Longitude_Neptune'] - d['node'])) % (360 * units.deg)\n", + "x = pyplot.hist(phi, bins=100, histtype='step', cumulative=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1fa9c13a-5e24-48a2-b87a-66c38a595f4f", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy\n", + "from ossssim.models import Resonant\n", + "from astropy import units\n", + "from matplotlib import pyplot\n", + "model = Resonant(j=3, k=2, seed=123456789, comp='plutino_implanted', size=100)\n", + "# model_file = ModelFile('PlutinoModel.dat')\n", + "# model = model_file\n", + "peri = model.peri\n", + "j=3\n", + "k=2\n", + "M = model.M\n", + "node = model.node\n", + "long_nep = model.header['Longitude_Neptune']\n", + "phi1 = numpy.array((peri*k + j*M - k*(long_nep - node)) % (360 * units.deg))\n", + "print(\"--\")\n", + "peri = model.table['peri']\n", + "M = model.table['M']\n", + "node = model.table['node']\n", + "phi2 = numpy.array((peri*k + j*M - k*(long_nep - node)) % (360 * units.deg))\n", + "x = pyplot.hist(phi1, histtype='step', cumulative=True)\n", + "x = pyplot.hist(phi2, histtype='step', cumulative=True)\n", + "#x = pyplot.hist(model.phi, histtype='step', cumulative=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "16ca8ae7-47d0-489d-9d3f-a7b67c4ec4bb", + "metadata": {}, + "outputs": [], + "source": [ + "import rebound\n", + "from astropy.table import Table\n", + "name = 'PlutinoModel.dat'\n", + "d = Table.read(name, format='ascii.ecsv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9d07321f-300a-4d9f-a590-e97a3c4b92b8", + "metadata": {}, + "outputs": [], + "source": [ + "_sim = rebound.Simulation()\n", + "rebound.data.add_outer_solar_system(_sim)\n", + "#_sim.add(\"Sun\")\n", + "#_sim.add(\"Jupiter\")\n", + "#_sim.add(\"Saturn\")\n", + "#_sim.add(\"Uranus\")\n", + "#_sim.add(\"Neptune\")\n", + "#_sim.move_to_com()\n", + "print(_sim.t)\n", + "for i in range(len(d['a'])):\n", + " _sim.add(a=d['a'].to('au').value[i], \n", + " e=d['e'][i], \n", + " inc=d['inc'].to('rad').value[i], \n", + " Omega=d['node'].to('rad').value[i], \n", + " omega=d['peri'].to('rad').value[i], \n", + " M=d['M'].to('rad').value[i])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9c1895e1-48e8-40fb-9e72-86b1d34076a1", + "metadata": {}, + "outputs": [], + "source": [ + "from matplotlib import pyplot\n", + "import matplotlib as mpl\n", + "# This installation has no fonts, if working on a local device you might set your font here.\n", + "mpl.rcParams['font.family'] = []\n", + "mpl.rcParams['font.serif'] = []\n", + "x = [ p.__getattribute__('x') for p in _sim.particles[5:]]\n", + "y = [ p.__getattribute__('y') for p in _sim.particles[5:]]\n", + "pyplot.plot(x, y, '.')\n", + "pyplot.plot(d['x'], d['y'], '.b')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "04182491-164b-4b58-8f73-52b511d9a864", + "metadata": {}, + "outputs": [], + "source": [ + "from astropy.table import Table\n", + "row = {'one': [1,], 'two': [2,]}\n", + "Table(row)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "613f394c-8a61-48b9-8123-405c4d75d6d4", + "metadata": {}, + "outputs": [], + "source": [ + "_sim = rebound.Simulation()\n", + "rebound.data.add_outer_solar_system(_sim)\n", + "_sim.move_to_com()\n", + "ps = [_sim.add(**dict(row)) for row in model_file.table['a','e','inc','omega','Omega','M'] ]\n", + "_sim.add(ps)\n", + "import numpy as np\n", + "a = np.zeros((_sim.N,6))\n", + "_sim.serialize_particle_data(xyzvxvyvz=a)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d87f27a5-f7b7-40ee-8e80-64c619086463", + "metadata": {}, + "outputs": [], + "source": [ + "ps" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ef5284f8-8ab1-4a5f-afc2-164f684c9c8e", + "metadata": {}, + "outputs": [], + "source": [ + "_sim.particles[1]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50a082a8-56d3-493f-ba74-426cadcd84b8", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b5ae9d48-be29-424e-80b1-12a5795ceee4", + "metadata": {}, + "outputs": [], + "source": [ + "model_file.table[1:10]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "26659200-f52f-4dbe-ab8d-b74769059102", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/python/examples/ReadModelFromFile.in b/python_examples/ReadModelFromFile.in similarity index 100% rename from python/examples/ReadModelFromFile.in rename to python_examples/ReadModelFromFile.in diff --git a/python_examples/Surveys b/python_examples/Surveys new file mode 120000 index 0000000..cc096bb --- /dev/null +++ b/python_examples/Surveys @@ -0,0 +1 @@ +../F95/tests/Surveys \ No newline at end of file diff --git a/python/examples/__init__.py b/python_examples/__init__.py similarity index 80% rename from python/examples/__init__.py rename to python_examples/__init__.py index 44b6836..97864e7 100644 --- a/python/examples/__init__.py +++ b/python_examples/__init__.py @@ -7,7 +7,7 @@ read_model_from_file.py -- Using the standards < Driver.in format from the fortran side, read a model from a file -ring.py -- Build a parametric model of a ring of objects and run the survey simulator using the CFEPS characterizations (supply the location) (input model is not saved) +test_model.py -- Build a parametric model of a ring of objects and run the survey simulator using the CFEPS characterizations (supply the location) (input model is not saved) plutino.py -- Build a toy plutino model and run OSSSSim on that. (input model is not saved) diff --git a/python/examples/distant_TNOs.txt b/python_examples/distant_TNOs.txt similarity index 100% rename from python/examples/distant_TNOs.txt rename to python_examples/distant_TNOs.txt diff --git a/python/examples/ephemeris.ipynb b/python_examples/ephemeris.ipynb similarity index 100% rename from python/examples/ephemeris.ipynb rename to python_examples/ephemeris.ipynb diff --git a/python_examples/example.ipynb b/python_examples/example.ipynb new file mode 100644 index 0000000..5c814b3 --- /dev/null +++ b/python_examples/example.ipynb @@ -0,0 +1,379 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 63, + "id": "a166da12-a038-4f86-b109-2327559670ab", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "Import the packages needed to simulation of detections and modelling orbital distributions.\n", + "\"\"\"\n", + "import ossssim\n", + "from ossssim.models import Parametric, Resonant, Implanted\n", + "from ossssim import OSSSSim, DetectFile, ModelFile, ModelOutputFile \n", + "from astropy import units\n", + "import numpy\n", + "import os\n" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "4b8baa4a-49fa-4dd1-aea5-c94dc6c2c1e9", + "metadata": {}, + "outputs": [], + "source": [ + "# setup some paths to characterization files and where to store your model outputs.\n", + "CHARACTERIZATION_DIR=\"/arc/projects/OSSOS/OSSOSv11/OSSOSv11/ObsSummary/\"\n", + "MODEL_OUTPUT_DIR=os.getenv('HOME')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d6c99039-da73-4a23-9cca-5635cdcdf19a", + "metadata": {}, + "outputs": [], + "source": [ + "# An Example of creating a model for the Twotino (2:1) population using default settings for resonant arguments\n", + "\n", + "twotinos = Resonant(j=2, k=1, seed=123456789, comp='plutino_implanted', size=100, model_band='r')\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "bdb9bb23-8598-46fd-b63a-a95a04ce4b56", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "10.0 deg 0.0 deg 5.0 deg\n" + ] + } + ], + "source": [ + "# We can set various parameters for a orbit model \n", + "print(twotinos.res_amp_high, twotinos.res_amp_low, twotinos.res_amp_mid)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "45ff9c4f-ce12-4275-8d20-7fb93e45cad4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on function triangle in module ossssim.distributions:\n", + "\n", + "triangle(self, minimum, mid, maximum)\n", + " Generate an array corresponding to a probability density that rises linearly from zero at a\n", + " given minimum bound to a maximum probability at a given mid value, before dropping linearly back to zero at a\n", + " given maximum bound. (i.e. for values less than the mid value, (x-minimum)/(mid-minimum), and for values\n", + " greater than the mid value, (maximum-x)/(maximum-mid).)\n", + " \n", + " Args:\n", + " minimum (float): minimum value of the distribution where probability starts at zero before rising linearly\n", + " towards the mid value.\n", + " mid (float): value of maximum probability between the values of minimum and maximum.\n", + " maximum (float): maximum value of the distribution where probability ends at zero, dropping linearly\n", + " from the mid value.\n", + " Returns:\n", + " numpy.array: resulting random samples.\n", + "\n" + ] + } + ], + "source": [ + "## These values are used as inputs into the 'triangle' distribution that is available in the ossssim.distribution package\n", + "help(ossssim.distributions.Distributions.triangle)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ce2a33b1-e45d-45f5-9f87-abbacb4d6904", + "metadata": {}, + "outputs": [], + "source": [ + "# One can set those values of the parameters, for example.\n", + "twotinos.res_amp_high = 120*units.deg\n", + "twotinos.res_amp_low = 60*units.deg\n", + "twotinos.res_amp_mid = 90*units.deg" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a7e0dbc6-5a26-4103-acf4-bf28d364f0b1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "optional-testament", + "metadata": {}, + "outputs": [], + "source": [ + "# We can also create new populations by defining a new class of Parametric or other availalbe model type. \n", + "# A Parametric based orbit model gets a 'cold-classical' H-distribution by default while an Implanted based model gets a \n", + "# H-distribution that is more consistent with the hot-classicals\n", + "\n", + "# NOTE The distributions of orbital elemetns are set by defining the functions with names that match the pattern:\n", + "# {element}_distribution (e.g. a_distribution, e_distribution, M_distribution where the value of element is one of\n", + "# [a, e, inc, node, peri, M, H, peri, phi]\n", + "\n", + "# NOTE: When defining a distribution we call the distributions attached to the model (e.g. self.distributions.FUNCTION_NAME )\n", + "# this is to ensure that all our distributions are seeded with a common random number and we can thuse re-produce a model if \n", + "# we know the seed value.\n", + "\n", + "class Ring(Parametric):\n", + " \"\"\"\n", + " Class used to create and store the objects generated and passed by the GiMeObj module into the main Driver.py\n", + " module that executes the survey simulator code.\n", + " \"\"\"\n", + " def __init__(self, ring_centre=45*units.au, ring_width=2*units.au, model_band='r', **kwargs):\n", + " \"\"\"Build a ring distribution of given with at a given distance. Ring is edge-on and circular.\n", + "\n", + " Args:\n", + " ring_center (units.Quantity): The location of the ring, given as unit quantity\n", + " ring_width (units.Quantity): Width of the ring.\n", + " \"\"\"\n", + " super().__init__(**kwargs)\n", + " self.ring_center = ring_centre\n", + " self.ring_width = ring_width\n", + "\n", + "\n", + " @property\n", + " def a_distribution(self):\n", + " \"\"\"\n", + " Semi-major axis distribution for a narrow ring\n", + " \"\"\"\n", + " return self.distributions.normal(self.ring_center.to('au').value,\n", + " self.ring_width.to('au').value) * units.au\n", + "\n", + "\n", + " @property\n", + " def e_distribution(self):\n", + " \"\"\"\n", + " Eccentricity axis distribution for a narrow ring\n", + " \"\"\"\n", + " # set the maxium value of 'q' to be 'a', (i.e. circular orbit)\n", + " q = self.distributions.uniform(numpy.where(38 0:\n", + " n_detections += 1\n", + " detect_save_file.write_row(result)" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "4e1eecc3-8263-465f-a2d1-bf5971ffad6e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " comp \n", + "-----------------\n", + "twotino_implanted\n", + "twotino_implanted\n", + "twotino_implanted\n", + "twotino_implanted\n", + "twotino_implanted\n" + ] + } + ], + "source": [ + "# The model_save_file and detect_dave_file variables still hold the data:\n", + "print(model_save_file.table['comp'][0:5])" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "decreased-division", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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oNjDgzWA8csRbHjw2ZsI1tyPy1JQ55jZAKS/3lv4eOuR1aXabp6RS5nnujL9k0jzDDfDGxrwu0Y2N3tjUlNnP0HG8uh3HCzszGfN1ZMS7z9SUeT84aJ7jzpYcH/c6Ss9sBjMw4O3TaFmm9spKb5n05CRLlwGgUBRFeLh+/XqVlZUpk8noqaee0hVXXOF7ntv5eM2aNSfULMWdcXj33XdPB4dXXnll1mtmdlh+6qmntH79+qy1nX322fOuCwAAAEB+uPsDunsAust/HcebXecGcpIJ49zlxQMD5v3IiAnQ3CXEAwNmvLzchG2BgPnebSpSVmbOdQO+vj5vhl9dnRdQul2Ox8bMOX195jo3cMxkvJmEjmPCupmzGdNp7/P19Xn7I0rm+qEhExLW1Hj7Jk5Oekuc3VmT7gxEN2hNp821Y2PeferrTQfm+npvtiQAoDAUxUTwmpoaXXLJJZKkH/zgB77nOI6jH/7wh5J01CXG2aTTaV199dWzgsOrrrrqmNedddZZWrduXdbahoeH9cgjj5xwbQAAAADyx7K8bsqWZUK+8nITqAUCJlyrrTWBmLtMOJ02791Ze8PDXpOUYNB87y4dLivzZh5OTZkwzj0+MuLNeDx0yAR4lZXmHHcPxmTSnON2Xh4amh3oVVaa50nm/u7sQne/xOFhrzFLXZ33OcfHzVhfn/Tb35o9FQ8d8vZIPHLE1DU56S1BnpjwZh26QaEbUrq/hu6MTQBAYSia/yR/4AMfkCQ9/PDDevzxx+eM33vvvXrmmWckSdddd9287u3OOLznnnsUCAS0c+fO4woOJcmyrOnn3XXXXUokEnPOue222zQ0NCTbtnXNNdfMqzYAAAAA+ZVOz1526y63dRubpNPmvTuzbnzcnBMIeLPsxsdNwNfXZwK7QMCEbpKZwWhZ3j6AZWXeuQMD3mxAx/G6H9fWmmeMjnqNWGprvWXFqZS5zp0h6dZTV+d1Pq6pMeFmKuWdV1NjXhUVXrCYTHohZV+f2ffRDTGrq81zg0HppJPMbMnaWrMf46mnSqtWmWdalhc6ujMtAQCFoajCw3PPPVeO42jLli166KGHJEmZTEb33nuvOjo6JElXXHGFLr/88lnXbt++XZZlybKsOeGeu8fh3XffPd0c5VhLlV/pxhtv1Jo1azQyMqI/+IM/0JNPPilJmpiY0Fe+8hXddNNNkqQPfvCDOuuss07k4wMAAADIE9s2QV8gYGbPVVZ6M+hs21uC7AZl7nLdykoTGk5NmfPd/QdHR801jmPua9vmvlVVJnx0Z/+5zU3ccNLtuOyGiJWVXmOWxkbz/IoKEya6waE789C9vzvrz93X0N27sa7OC/Qcx4R9ZWVegDg4aO7b12dmPB4+bO5RUWFC07o6c3/LMnWuWGGCRHeJtNswxg0PmXkIAIWjKPY8lKRAIKDvfOc72rhxoxKJhDZt2qSamhplMhmNjY1JkiKRiHbu3Dmv+z722GO66667JJlZhFu3btXWrVuPev4XvvCFOeFiMBjUv/7rv+rtb3+7fvWrX+mCCy5QfX29xsbGNPnf/5z4tre9TX//938/r9oAAAAA5J+7jLeiwgR0AwMmsHOX5dq2CcwaGsz5yaQJy4aGvJDRccyMPNs251RUeDP2Vq40r/Fxr5HK4KAJ2wIBr9uy2714aMgL4AYHvaAwGPQCSXfps7sHY2OjOc9tYlJT4+1X6M5idBu9jI97+zTW1XmzHaemvPozGW+Z9ooVpp6pKW85dE2NuWZszLyfnJxdB92WAaBwFE14KEmhUEi/+MUv1NnZqX/+53/Ws88+q/Lycm3YsEHve9/7tHXrVlW4c/CPU2bGTr2Tk5N66aWXsp4/Ojrqe/z888/X3r17deutt+pf//VftX//ftXW1uqcc87RBz7wAbW1tamM/3UEAAAAliV3ht3wsLdnoRvguQHb8LAJyF71KrM/4OHDJigbH/dCxvp6b7bfmjXSGWeYr1VVZj/Bl1/2Gpyk0yZ0O+kkExhmMiaYXLHC68jc1+eFhStWSKtXe52Sq6ulpiZzvLbWPPfwYa/Ji7tvYzptnp9Om3AxmfQ6NruzF90mLO6vhTsj0q3TXfI8Pm4+58svm/s0NZlrLEt6JhXXzpeiGoglFF4V0gcvaFe4KZy/HyoAQJJkOY7771QoFhs2bJAk7d27N8+VAAAAAMVvdNTs+XfggNnvb/9+L3SbmjIBmbtcuKLCBHkHDpgw8PBhb4ZfU5O3HLi+XgqFpLPOMt+PjHhLewcHzXljY+b90JAJ5UZHzf0bG01YNzJizh0c9PYsrKoyNTuOCfPq6sz93S7Io6Nmj0O3+/PAgHlfWekFoMmk+b6iwus0LXmNWGZ2h3bDU3evw7Iyc4/+flPLa18rrV0r/XSgV3//dIcySk//utqWra6WLrVGWpf6RwoARWWhORFT3QAAAABggSYnvb0LbdvbL9AN1tJpr4FJf78J3urrvRl9gYAXIrpLgt0ZfImE9Nxz5n5u0Dc+bq5xZx9OTZkZj+7y4oEB81x3P8PJSW8/xepq06ykocHbr9HdJ9HtDh0MmldtrRc6ut/X1nqzKkdHTYjpLsBylyqXl3vLnd0uyu6irpnXj41Jzw/F5wSHkpR20urY1aF4Mr4UP0IAwFEQHgIAAADAAmQyXoDmBmTj42bGnrsEuLraa5hSVua9d4O66movTKusNAGbZN67eyhalhmrrDQB4wsvmK+BgFmO3NholiC7AeXgoLdvoBtOjo+bMK+hwbwcx9s/0d0PsbLS3Mft2rx6tanRXYZcXW0+RybjzVYcHzf3r6gwx93ZkLZtrnFDVXeJdG2ttwT6X/ZH5wSHrrSTVk+sZ7F/hACALIpqz0MAAAAAWGqTkybkS6VMCFdRIZ18stnXz23+UV3t7WeYSnmB2imnmH0J3eXINTWmOUpNjQng3Bl9gYDXLMXtrjw5ae6xdq05f3LShIajo9LBgybgc5uwTEyYa9Jp873b7KSiwiyhDgTMq77e1Os2MHEDz74+6cgRc+/6em9Z9KFDpiZ3hmVNjRl3P6PjeMurV6ww98xkzL2OHDGf6cXTElmntSRSiUX6yQEAjgfhIQAAAAAswPi4Ce2Ghkw4V1vrzbpzly9LJjRzHBPGTUyY95WV5tjQkAnW3GCuttbMOHQ7INfVeUt9AwGzP6Ib+FVVmWsGBrxOzG5H5Pp6b7bi5KQ5PjBgQr/GRnO/igrzHMsydbr7K1ZVmevd2ZLPP28+5+SkeZ5lecueAwHTuKWhwZuxeOSIt1x5cNC87+szAWN/v6m1okKqmQhJVUf/9Q0FQ4v54wMAHAPhIQAAAACcoEzGmxHoBoLuEuZUyoRy/f1eAxE3aKuvN2Ha2Ji5vrzcBHKOY4K7ZNIcHxz0mpK4jU8aGkygt2qVecbEhPk6OWm+lpebsDCd9jo8T02Za9xl1MPD5nzbNiGgZZlQcWYXZXcmY3W1V/OhQ97MRMlrilJebmZAVlV5NaXT5rO4z3BnL9bXe81WqquliNr1H+r0XbpsW7baIm1L+SMFALwC4SEAAAAAnCA3RKuoMCHawIAJzg4dMmFfJmOCtZdfNl8lbz/D/n7zcoNAx/GWF9fWmoDPbapSW2ueNTFhArmVK829Lcvbr9BdKlxRYfYo7OszAV4yad67zVAsy9zHnSlZV2dq6+8393RnKwYC5n6//a35bCMjZnxkxNSYTnvdlGtrTRAaDJp7Dw+boDCdNvVblrnfyIi3XLqqyizvXr06rPaKLkVfntttuXtzt8JN4aX4UQIAjoLwEAAAAABOkNsgpbraBHCBgAnl3EYn7j6HY2PmFfjvv4G5IWBlpWlIUl1tjr38sgnahoZM0FdVZZYDu8FbMuk1JHEcE1JOTZlgMZ32uhz39ZmAbnjYzPwbGTH3q6jwGq6k095S5XTa3GdoyNy/qsqc786kHBsz57p7HbrPt20TfFqWCUtHRsznOHzYnOP+urgNX8rKTK1ut2m3kUukolVfPrtZ/6EepZTQGY0htUXaCA4BoAAQHgIAAADACSorM6/xcROmubP1RkfNV3fG3dSUd7y83ARmbmdlN0gbHjaB3cCAF/StWmUajVRVeTMM3Rl/boAnmaXM1dXm+7Exac0a86zJSfPKZEzw6IaX7nLr8nJzX3eZs9s92W3oUl3tBYduM5exMRMODgyY8NBtBuPOtJyYMMfdbswVFabWsjKv2Usg4N3L3fvwwrVh/Y/1O9TYuOQ/RgBAFoSHAAAAAHCCystNsDY2ZgJC2/Yambih4fCwt7eh29xkbMyb/Tc46O0/ODVlgsCGBi/ocxuTuEuZbdtbylxd7c1+DAZNQGhZ5lgw6IWVbrMWd9/Eujpzj/FxE+y54Z67b6PkNTvJZLylyW6oWFU1+/OWlZnAcmDAfJbGRvN1asrcs7zcfGbJCymTSfPeraWiwlvaDQAoHISHAAAAAHCCysq85bzBoLf0d9UqE4S53ZHHx72ZeGNj3n6DZWVeV+LKSjOD75RTpPXrzZJkt4mJ26SkosIEdhUVJsirr/eCy/Jys4fgkSNeyOjudRgImPOGh71lyRUV3h6Ntm2e43ZvdkPRTMabgbhihddoZWYt6bS5z/i4twdkdbWZqZhKeUuWKyvN9+7S5cFBc8+mJvN1aMgst66q8oJTAED+8Z9kAAAAAFgAd9mxG4i5+/zV1JjAzp1p5wZ8w8NeoxF31t3EhPm6apUJADMZcx93me/YmAkLa2pMCDc15c0idJdK27a5T2WlCfMkb9/Eqioz09Ht6FxT4+05ODRkZii6S6hXrPA+m3tvd5/FigrzDDckrK31wsOyMnNtIGDu514/MeHtd+jOvFyxwtRQW2vG3P0ZDx82x5qalu7nBwDIjvAQAAAAABagosIEXoODZrnx+Lg5fviwCQcHB02A5u6NODXl7U/oBoY1NWZs1SoTvLlLiaurTShYWWlCtnTam1mYSpkxd9/FsjJv6bM7I9K2vYDS3TfRsryZhZZlag8EvP0LV682n8ldau02VRkZkfbvN88dGzONXMrKzOdz91Oc+WvhBoyBgAkfAwETCtbWml+nigrzeUZGzGdasUI6eNCEmo2N5t4AgPwjPAQAAACABaipMaGbO8vu5JO9ZinuUmF39mF9vQnSpqbM+dXVZpmy2xF5dNSc7+4dWF5urjnpJK+j8eHDXjOUsjJzL8mEcu5ehG6DE8nUVF/v1Tg+7n11wz53efLEhLlmxQqve3R5uXk9+6z00ksmKHSXFrufzZ0BGQiYsNLd63By0txfMr8Wtm3u7e71GAiYYDST8WYrDg2Z2tyAFQCQX4SHAAAAALAAgYCZSTc46O1n6C7PTae9bsRVVSYocwNFd6bikSNmtl8waI739Xn3npoy41NTJoRzA0N3L0XJm2U487371W1a0t9vQrvKytnLoSsrzXF3H8UjR7wZi/X15qsbbI6Pm6/u/ovu7MiqKlP7SSeZGYNuAxXbNs+oqDCfs6/P6w7thofuZxkaMp/PDUNHRwkPAaBQEB4CAAAAwALV1ZkAzd2H0HFMQOY2PXH395ua8gI0yVvS7C5ldpuIDA15+xiOjprZfsPD3h6G5eXmutFRbz9BdwagG0yOjHizB1MpE/iddJIJ8txgsbzcBJduExX3eVNTs2cPHj5sagoETA3uMx3HPMcNRiXzeV9+2VznNmo5fNiMWZa5ZnTUhJFuk5aVK73P5jjekmcAQP4RHgIAAADAArlLlN3Ox27glkqZ0E3ylgVnMmY2Xk2NCe4sy1wzMuI1UqmoMOe5y4HdhivufopukxE3fJTMe8sywdwLL5jrV60ygaC7ZNhdzlxZaWpzQ0K3ocrIiKndbZAyOemFge7nqK42dWYy5j6Tk6Y+d7ZgKmWucRwTVE5Oep/bbcbiXl9VZULV8nLz2SorzVh5+ZL++AAAWRAeAgAAAMACud2Qq6pMKHbokAnCbNsEa/39Ztnu5KQ3S6+qygsJDx3yQkO3k7I7qzCTMSHcxIQJ2CYnzfXuPoqplKnBnfG4f7+5tqbGm3noNkSpqfG6Q1uWmdE4NmaeceSICR0nJ73lypZlAkV3OfbkpDfzcHzcnFNba2ZdVlaaut3ZhI5jPovbGEUy96qoMJ/9Va8y9a1cab66n6e6miXLAFBICA8BAAAAYIHcJiUrVpigsLzchGyrVnkz89x9AyUvYDt82Avj0mkTxLndlt3graLCBIsjIyaAnJgw37tLlMfGvMYk7lJgyVwneQ1JLMtcm06b69zwz51tODhoQsyREfM82/ZmIabT5jnuLEc37HP3c1y50nzv1lVVZT6H45g6bNvcZ3zcfF292gSibi3uUu76ei+IBAAUBsJDAAAAAFggd3bf6KjXMKSuzizfDQa9sUzG62zsdl2enDShmeSFf7ZtAjq3EYobLrrHq6pMmOeGk+7+gitWeKFiVZW3j+DM8HJ01LwGB839qqvNvQYGvI7PmYx5TjLpPbOx0Rx3A0j3/m44KZn3w8OmnpnB4dSU19jF7d7sdnTu7zf3CwalNWu8PRkBAIWB8BAAAAAAFqimxoRww8NeAHfwoAnQystNIFZbawLF/n4T4rkBorv01913sKrKBHWplLl+Zldid09Ad+mv5HV6DgTMsZNPll580bx39w5Mp811w8Pm+W4zlMpKc04qZWY1Tk15+x1WV5sQcHTUzCw8+WRz/uHD3l6M7mxH93OXl5vv3feDg16dFRUmIKyqMr8Obldnt1FLU5OZkVhTs/Q/PwDA0REeAgAAAMACuR2DJROsHTzoNUhxQ7vKShMK1tSYWX6Tk977YNCEbVNTJoCrrzcvdzbg+LgJ3NxALxg04dvAgHlVVJga3OXT1dXenoNlZeZ9TY15OY6p1e3KfOiQ9NJLpmZ36XQ67e2x6M6krKw0z5XMuLunYzBowsYjR8zXdNpr3OI2QamtNfcYHze1rFjhLVuWTHB42mnmMzPrEAAKC+EhAAAAAORATY0J2iYnpbVrzTE3lHP3GAwGvUYmo6MmKKupMUHd1JQJ9izLnGfbJhScmPCWAFdXm/HhYTNDMJk09y0vN2Nuh+ayMnM/N8irrvb2T6yp8WYMplKmXnfm4cyZkO7syOpq09zE7YrsdnqurPRqqqz0GsK4n6G83NyvttYsr3YbxLhLtd1uzQ0N0qmnmiXLAf6GCgAFh/80AwAAAEAOZDLeLMH6erME98gRE6K5TVOOHDHLf5uazLllZWbmYE2NN+MulZISCRO6jY15ewS6wd3kpFl6PDjozVR0r6+qMsfdPQVra71GKZZlxicmTEfmgQEvyJPMuamUtxdiba05d9Uq86qp8WYiujMI3RmNo6Pm3u5sR3dJtNvZ2e36XFZmnvfyy+br6tVmFmRlpdc0BQBQWAgPAQAAAGCB3L0BDx82Mw0HBkxAlkqZ4KyuzgsC3dl8tbVmma8b7NXXe/fp6zMBnWWZ+1dVmYDNXZYsmfcjI+a6ujqvQ/L4uDfLMZMx95yYMGNDQ6Y2dx9Fyds/sbHR1DUzkLRtc9+yMhN+VlR4MxBt2/vMyaS5tyudNjW4synd2ZM1NeaY+2vmzqh0HPNavZplywBQaAgPAQAAAGABMhkToqVSJpgbHpaefda8RkZMiOc4JqALBLzZeXV1JvgbHTVhnNtwpLLSHEunzXmplFna29hoAsgDB8xYOm2eVVZmnjE5ab4fGTE1HTpkvp+YMAHd+LgX1LkhpmTCQDeYHB72gjzbNs+sqvK6QLvLjPv7zb37+sxsyrExr4lKRYV5/vi41zzGbd6SSpljtu0dq631aqqvN+8BAIWD8BAAAAAAFmBy0gRlY2Pm+4EBs9fhiy96S3hrakz45i5hdpuHWJYJ0cbGvC7GlZXmGncJdCplArojR0wQd+iQea5lmXMCAW+fxMlJc14mY0K/gQHzvWV5DU9qa73mLmNjZjwQ8PYgrKryGqQ0NJhrx8a8Zihu52e3c7O7/FoyX93l0ZblLVN2HHNtIGDqW7HCa+rift7KSjPzkPAQAAoL4SEAAAAALEAmY4I0t/PxwIAJ+TIZE/yl0yZ4c5uZuHsJuk1H3P3+fvtbE7RVVJhZie4+iRUVJojr6zNLocfGzLh7nRtQ2rYJ68bGvC7PlZWmNncGotsh2bJMMDg5aZZZj46aMM+93t0vsaHBm904896Tk2bps2WZ8xobzXHJBJ4TE+Z+tm2OjY2ZOt1l1wcPmq8nneQ1hamqkk4/PV8/xfyKJ+OKxqJK9CcUagipPdKucFM432UBgCTCQwAAAABYMHfvP3dpcGOjCfqqqkxwNjbmjbkh2tSUCemqqky46M7uc2ci1tSYcNCd/ffCCyaMdBuguMuLMxkTMrrLo2fO5JuaMl/dUHJqytTpBoFlZeaZ7r0kExaOjpqXW3sgYJ7h7l84PGyuKysz9bl7OrozGd2uzfX13h6Phw+be2QyJnh0Z0K6NbkzJzOZ0tr3sDfWq45dHUo76eljnXs61dXSpdZIax4rAwCD8BAAAAAAFshtKDI6agKzVatMeOjODBwY8PY8rK0137sdkycnTRA3Pm7Od7soj4/PXu7szuxzZw5KZsx9/sxGKum0FzBOTpox955lZV5N1dWm+3N1tanNnTnphptu6OkuaXZnJ7qBZXW1tyzanQGZyXjdod2GKbZtPou7N2JlpbdUemTEhI+BgHlNTprxUhBPxucEh5KUdtLq2NWh5nXNzEAEkHeEhwAAAACwQLW1ZubcyIgJzGpqzKzCQMDbE3CoIq7nV0U1VpVQkx3SSVa7Jo+Ep4O/ujoTrFVXm5BNMte7swPd9+5egm7AV1bmLW1Op82sx8pKbzm1ZL664V9jo7nGbWTS1GTCzqEhE9y5TU+qq00A6IaZtbXm5YaH9fVeSHnokNdB2v3c7uzGvj4v2HSvWbnS/HpVVppfq1WrpFNO8WZSlopoLDonOHSlnbR6Yj3asWnHElcFALMRHgIAAADAArjLcletMsFYf78Jy1av9vYIfGSoVw/VdMixTFAUl2Sd3qnzAl06o791OnhzQ0B3xl9VlRemVVWZwC2d9joUu41QVq82X91uzem0mUFYUWGWOldWmtDw9NNNWCeZ424QODVlzrVtr2nKzHoGB00gWFNjzl+1ypzjPqe+3oytXm1e7tLn4WFTc3+/143ZfUnm/itXSuvWmefN7AJdChL9iezjqezjALAUCA8BAAAAYAHcJbr19d5MwFTKzOibnJT6FNeP93fI0ewZZo6V1n+s7dDpVrOqM2GtXGkCtro6M+7O9gsETAh30kkmiHSXL7t7Fq5cKYXDJuQbHTUhnjtj8NAhU8PwsAn16urMfQMBE3i6S63d/Qsty1y7cqW5T1WV+VzuXoyVlV6o6C59Xr3avD/pJLMEOhQyx/fvN9etXGnCQzcMtW2vgUtDgzm/ocFbzl1evnQ/u3wLNYSyjwezjwPAUiA8BAAAAIAFcGceSt7MvcZGr5vx7uejysh/aapjpXXwVT06O7NDK1ea8M4N6dwwbnzca0biOCYI7O83MwBXrzazCVetMkFhMuntKWhZJvirrfWWJK9YYUK/8nKv+7N7vm17ezS6swzdMTdItCwTFAaDJvxbvdrcp7HRhITu3omVldKaNV7A6QaU7mzJgQHzddUqc4/6enPPFStKa+Zhe6RdnXs6fZcu25attkhbHqoCgNkIDwEAAABggcrLveCwrs7M6Fu71gR/qf2JrNfaKxPacLK5fmrKhHE1Neb6U07x9gucmjIz9kZGTPjm7h148n9fW1Fhnu12QnZn8TU1mZmQfX3mmkDAm/VXU2OCP7cr8vi4afQyPm6eWVZm7tHQYJ6TyZgx93nuTEX3c0teYLhmjRcmZjImQJyYMPU7jrm+qsq8KipMcFgqjVJc4aawulq65jRNsS1b3Zu7aZYCoCAQHgIAAABADpSVmfBrZgCWyUhnrQ5Jzxz9uvL6AZ13ngnV3OCtstIEdm74Vl1tArvxcfOanDT3dmcL2rY5p6nJm5k4MmJ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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# some cummulative histograms\n", + "import matplotlib as mpl\n", + "from matplotlib import pyplot\n", + "# This installation has no fonts, if working on a local device you might set your font here.\n", + "mpl.rcParams['font.family'] = []\n", + "mpl.rcParams['font.serif'] = []\n", + "resonant = model_save_file.table['comp'] == 'twotino_implanted'\n", + "# plot the plutinos\n", + "pyplot.plot(model_save_file.table['a'][resonant], model_save_file.table['e'][resonant], '.b', alpha=0.05, label='Twotino')\n", + "# plot the things that aren't plutinos.\n", + "pyplot.plot(model_save_file.table['a'][~resonant], model_save_file.table['e'][~resonant], '.g', label='cold')\n", + "pyplot.ylabel('q (au)')\n", + "pyplot.xlabel('a (au)')\n", + "pyplot.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "latin-bullet", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/SSim/python/ossssim/plotter.py:143: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n", + " self.ax1.set_xticklabels(x_tick_labels, color='b', alpha=0.6)\n" + ] + }, + { + "data": { + "image/png": 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LawqJqCVIkoRYLAaDwQClUil3OURERHXBDh8iakg/+Qng8wFzc2/eVN8/Yu0emvj++8Av/7I8NVLrMZvNiEajSCaT7AIgaiGZTAbFYpH3ayIiaisMfIioIanVwN//+8DTp8CDB6VOn/JOXF1dwNgYcPs2cOmSvHVSa+nu7kZnZyc0Go3cpRBRFel0Oly+fFnuMoiIiOpKkLj/LBEREbUhl8sFALDb7TJXQkRERFR9DHyIiIh2yefziEQi6OrqgkrFRliiZieKIgKBALv3iIio7XDMKRER0S6xWAybm5uIRqNyl0JEVZBIJOByuRAOh+UuhYiIqK4Y+BAREe1iNpsBvNnCmVqXy+WqLOui1hWLxQC8uW8TERG1C/aqExER7aJWq9HR0VE5SaTWxb9xe4jFYlCr1dDpdHKXQkREVFfs8CEiItrHbDYjn88jk8nIXQoRnUE+n0c6neZ27ERE1JYY+BAREe1TXvrBDhCi5lZemsnlXERE1I4Y+BAREe1jNBphsVi4ow9Rk1OpVLBYLOzwISKitsQZPkRERPsolUpMTk7KXQYRnZHZbGZ3DxERtS0GPkRERNSW+vr65C6BiIiIqGYESZIkuYsgIiJqNPl8Hqurq7BYLBgYGJC7HCI6Ib/fD7/fj/HxcXR0dMhdDhERUd1xhg8REdEBVCoVMpkMotGo3KUQ0SnEYjFkMhmo1Wq5SyEiIpIFAx8iIqIDCIIAk8mEVCqFYrEodzlUAysrK1hZWZG7DKoBSZIQj8dhMBigVCrlLoeIiEgWDHyIiIgOYTabKyeO1Hqy2Syy2azcZVANJJNJFItF7s5FRERtjYEPERHRIconiwx8iJpL+T7LHbqIiKidMfAhIiI6REdHBzQaDWKxmNylENEJxGIxKJVKGAwGuUshIiKSDbdlJyIiOsLExAQ0Go3cZRDRCUxOTiKTyUAQBLlLISIikg0DHyIioiPo9Xq5SyCiE2J3DxEREZd0ERGhUChgdXUVyWRS7lKoQaXTaW7P3oLsdjvsdrvcZVCVxWIxPp7ToTKZDJaXl5HP5+UuhYio5tjhQ0RtL5/PIxqNIp/P4/z583KXQw1ofX0duVwOV65ckbuUE/u93/u9Y1/Wbrfj13/91/d87JtvvsH9+/ff+bV/9+/+XXR2dp60PFlxoG9rcrlcEEURly5dkrsUakButxuxWAzZbBZqtVrucoiIaoqBDxG1PZ1OB6vVCp/Ph1AohO7ubrlLogZjMpmws7ODdDoNnU4ndzkn8q4laaIoIpPJAABsNtuhl1MoFOjo6Djy80Ryy+VyyGQy6OnpkbsUakCxWAzRaBTd3d0wGo1yl0NEVHMMfIiIAAwMDCAUCsHtdqOzs5Mnr7SH2WzGzs4OYrFY0wU+f+/v/b0jP//tt9/iyy+/BABcvHjx0MsNDg7ib//tv13V2uQ2NzcHALhw4YLMlVC1cDt2OowkSXC5XFAoFBgaGpK7HCKiuuAZDRERAJVKhcHBQeTzeXi9XrnLoQZjNBohCEJLbs/+8uVLAMDQ0BC726jple+jJpNJ5kqo0fj9fmQyGdhsNu68SERtg4EPEdH3ent7odPpkMvl5C6FGoxCoYDRaEQikYAoinKXUzVbW1sIhUIAwHkn1BLi8Th0Oh1ns9BbstksNBoN+vv75S6FiKhuuKSLiOh7giDg3LlzUCqVcpdCDairqwsqlQrFYrFllvyVu3u0Wi2mp6dlrobobIrFIkwm05Gzpqh92e12DA4OtszjNxHRcTDwISLapRz2SJKEQqHAV4mpwmq1wmq1yl1G1eTzeSwuLgIAzp8//87bejAYxD/5J/8E0WgUgiDAaDRieHgYV69eRV9fXz1KJjqSUqnE2NiY3GVQg8nn81CpVBAEgS/oEFHbYeBDRLSPJElYWFgAUDoRFgRB5oqIqm9hYQH5fB7A8ZZzpdNpZDIZaLVa5HI5hMNhhMNhvHz5Eh988AE+/vjjWpdMRHRia2tryOfzmJmZYXcPEbUdBj5ERPsIggCz2Qyv14tgMIje3l65S6IGEQwG4fV6ce7cOahUzf0UWl7OZbVaj5xp0dXVhU8++QSTk5OwWCxQKBQoFotwuVy4d+8ednZ28PDhQ3R0dODGjRv1Kr8qJicn5S6BqkSSJMzPz6O3t5cdZ1QRiUQQj8fR29vLsIeI2hIf+YiIDmCz2aBWq+HxeFAsFuUuhxqEKIrIZDKVrZ+bVTAYxPb2NoB3d/fMzMzg/fffR1dXV+WESalUwuFw4Dd+4zdgs9kAAN988w2y2WxtC68yrVYLrVYrdxlUBYlEAul0mo/XVCGKItxuN5RKJQYHB+Uuh4hIFgx8iIgOoFQqMTQ0hEKhUDkxJjKbzQDQ9Nuzl7t7VCoVZmdnT309KpWqspQrn89jc3OzKvXVSzabbbqQig5Wvk+W76NEPp8P2WwWAwMDnMdHRG2LgQ8R0SF6enqg1+vh8/mQyWTkLocaQLkjpJk7fIrFIl6/fg0AmJqaOnOHy+5XzqPR6Jmuq95WVlawsrIidxlUBfF4HEqlEnq9Xu5SqAHk83lsb29Dq9VyiR8RtTUGPkRERxgZGYHVauWrg1RhMpmaujNkdXUV6XQawPGGNRM1umKxiGQyCZPJxCH7BKDUpdvf3w+73c7bBBG1NQY+RERHMBgMsNvt3MqVKpp9WVd5OVdnZyfsdvuZr2/3kkeLxXLm6yM6qXLHHZdzUZlCocDg4CAfk4io7THwISI6BlEUsbOzA0mS5C6FZGY2mzE1NYWenh65SzmxWCyGjY0NAMDFixfPfH3FYhH37t0DAKjVaoyMjJz5OolOymw2Y3p6Gp2dnXKXQg1gZ2eHw7uJiL7X3HvKEhHVid/vh9vthiAInAfQ5pRKZdN2Erx69QqSJEGhUBwr8HG73bh//z4uXLgAu90Ok8kE4M3uN1999RW8Xi8A4NatW2eaByRJEkRRRKFQQKFQQLFYrLx/1NtBlysWixBFsXK95aB297+7w9uVlRUIglBZ+rH7393vq1SqyptSqdzz//2fU6vVh15GoVBwmUkVKRSKym2T2lsoFILb7UY+n8fw8LDc5RARyY6BDxHRMVitVvh8PmxtbaG7uxsqFR8+25kkSUgmk9BoNNBoNHKXcyySJGFubg4AMDY2BoPBcKyv2dzcrOy+pVKpoFarkc1mK4GKIAi4efMm3n///QO/PpfLIZPJ7HnLZrN73s/n8ygUCqfuoNsdrKjVanR0dFS2kN8f2ux+f/fOTgeFQbvfF0WxEi5ls9lKsHQau8MjrVaLjo6Ot97KH9dqtQyHjlAoFJBOp2E0Gvl7anPlIFqlUmFgYEDucoiIGgLPWIiIjkGhUGB4eBhOpxNbW1tcutLmEokElpaWMDQ0BJvNJnc5x7KxsVEJOI47rLm3txeffvoptra2EAgEkE6nkc1mK11OVqsVExMTMBgMWFxcPDDYOSrEKYcaer3+wC6Zozpodv9frhN9SZLe2Y101Ofy+TwymQyi0eihvydBECq7wx0WCpXfL4dc7SQSiWBjYwPj4+Po6uqSuxySkdfrRT6fx8jICOfuERF9T5A4kIKI6NgWFxeRSCQwOzsLnU4ndzkkE1EU8fz5cxgMBkxPT8tdTk0UCgUkEgkkk0kkEonKWzn0OUw5oDgsmCj/v10DioNIklTpetrd/XRQR9RxAjSj0Vh5MxgMMBqNLbvToNPpRDgcxpUrV9h52cZyuRzm5uag1WoxMzPDbi8iou/xmZGI6ATsdjvm5+exs7MDh8MhdzkkE4VCAaPRiHg8DlEUmza4EEURqVRqT6BTDngymcxbl9dqtdDr9eju7j50KZJGo2mak63dS7rkJAhC5fd3lPISuYNCoXIwlEqlEI1G3/parVa7JwAqv+n1+qbuhojH45UOMWpfPp8PoihyG3Yion347EhEdAJ6vR5TU1McEEowm82IxWJIJBKyBwZHkSQJmUzmrUAnkUgglUq91TGiUqlgNBrR29u7JxwwGAwt1yXicrkAABcuXJC5kuPZvbzrqNtcoVB4qzMrmUwiFoshGAy+dXm9Xv9WR5DRaIROp2vok+dUKoVCoYDe3l65SyGZDQ0NwWQy8bmZiGgfBj5ERCfUyCf3VD/l20EsFmuY20ShUEA0GkUkEkE0GkU0GkUymXxruLBCoYDBYEB/f/9by384JLj5qVQqWCwWWCyWPR8vdwgdFAYFAgH4fL49ly/fTsxmMzo7O9HZ2QmLxdIwwV+jdGiR/ARBeOv2TkREDHyIiE6lWCzC5XKho6OjaYb2UnXpdDpZl8PsDnfKb4lE4q0au7u73wp19Ho9Q502tLtDqLu7e8/nJElCOp3e0wWWTCYRj8fh8Xjg8XgqlzUYDHsCoM7OTllCIIVCgY6OjmPtOEetKRAIIBqNYmRkpGGCSCKiRsLAh4joFBQKBZLJJMLhMHp6enig2aZmZmbq8n3y+fyezp2Dwh29Xo/BwcHKCXhnZ2fTbBlP8hMEAXq9Hnq9/q3P5fP5Pbe9SCRyYAi0+7ZnsVhqfvvr6+tDX19fTb8HNa5isQiPxwNBEJp2jhoRUa0x8CEiOgVBEDA8PIyVlRV4PB4OcKaq2R3ulN+SyeSey5TDnd0dFgx3qFbUajWsViusVmvlYwfdTre2trC1tVW5jF6vf6sTiLdTqpbt7W0UCgU4HI6mHjxORFRLDHyIiE7JYrHAbDYjGAzCarVyWUEbkiQJGxsbUKvVGBoaOtXXJ5NJBINBBAIBhMPht8Idg8GAoaGhyglzPTon2oVWq5W7hKalVqvR29u7Z2ByOQTaHQQdFgKVv9ZoNJ5qeaHX60U6ncbIyAhP9ttQJpOBz+eDwWBAT0+P3OUQETUsQdq/PQcRER1bJpPB69evodfrcf78ebnLIRnMzc1BFEVcunTpnZeVJAmpVAqBQKDytnv780aZjUJULfl8HrFY7NBZU1qtFr29vejp6TlRADQ/P49cLocrV67UsnxqUCsrK4hGozh//jxfbCEiOgI7fIiIzqCjowNWq7WyPbBKxYfVdmM2m+Hz+ZDJZNDR0bHnc+8KeEwmE2w2W+WEd//XEzU7tVqNnp6ePV0YuVyu0tUWCAT2zAM6TgBUKBSQSqXQ1dVV15+FGoMoipAkCd3d3Qx7iIjegR0+RERnJEkSdzxqY5FIBKurqxgZGUFvb+87A57yiSwDHvn5/X4A2DObhupvfwBU3m4dODgAikQicDqdGB0d3bOkjNqLKIoc1kxE9A4MfIiIquigLg9qXZIkIR6P49mzZ5AkCdlsFul0uvJ5o9FYmVXCgKfxzM3NAQAuXLggcyW0Wy6XQyAQqIRA+wMgnU4HALh06RK6uroYuLcRPscSEZ0MAx8ioirZ3NxEIBDAhQsXOAy2heXzefj9fni9XgQCAQY8TYyBT3N4VwDU29uL/v5+9Pf3c6B5CysUCnj16hXMZjPGx8flLoeIqClw2AQRUZV0dXXB7/fD7XZjYmJC7nKoilKpFLxebyXkKb9WYjQa4XA4YDAY0NXVxd1iiGpAo9FgcHAQg4ODAErLKIPBYGX5ZHkGkCAI6OnpQX9/P2w2G4xGo8yVUzVtbW2hWCxydhMR0Qkw8CEiqhKTyYSuri6Ew2HE43GYTCa5S6JTkiQJkUikEvKUOwoEQYDVaoXNZkN/fz/0er3MlRK1n/JOdmWZTAY7Ozvwer3w+XwIBAKYm5uD0WiEzWaDzWZDd3c3l341sVQqBb/fD6PRyMCHiOgEuKSLiKiKstks5ubm0NHRgZmZGZ5gNJFisVhZquX1epHNZgGUugvKHQNWq/XQbdJFUUQ6neauMU2ES7qaTzKZREdHB5RK5YGfLxQKCAQCR96P+/r6uKNik1laWkI8HsfMzAyDdiKiE+CzHRFRFWm1WvT391eW/nD3n8a2uzPA7/ejWCwCKC3VstvtJ+oMWFtbQzQaxZUrVw49GaXGYjab5S6BTkCSJCwvL0On0+HcuXMHXkalUlW6evZ36rlcLrhcLigUCvT29lYuVx4CTY2p3DXb29vLsIeI6ITY4UNEVGWiKMLtdsNms3GAaIMp76pVPgEMh8OVz/X09FROAE8z+8Pn88HlcmFychIWi6WaZRMRSt09CwsLGBgYqMzzOYnDZnFZLJbKfd9isbAzs8Hk83lsb29jcHCQnVlERCfEwIeIiFpa+VV+t9sNr9eLVCoFoNQJ0NfXV5nHc9ZwLpPJYG5uDn19fbDb7dUonYh22d7extbWFqanp888Iy2fz8Pn88Hr9WJnZwf5fB4A0NHRAZvNhuHhYc79ISKipseYnIioRiRJgt/vh9ls5vbcMkgmk3C73XC5XEgmkwAAnU6HsbEx2Gw29Pb2QqFQVO37dXR0QK1W79kymhqby+UCAAZ0TSIej0OhUFRl9y21Wo2hoSEMDQ1BFEWEQqFK98/6+jrW19eh0+kwPDyM4eFhLv+TQT6fRzAYRF9fX1Ufq4mI2gkDHyKiGkmn03C5XDCbzZiampK7nLaQzWbh8Xjgdrsry7W0Wi3Gx8cxPDyMzs7Omr5ibzabEQwGkc/nDx3uTI2D4VzzEEURiUQCZrO56vfh8kyf3t5eXLx4EdFoFG63G263G8vLy1heXobFYsHw8DCGhoY486dO3G43QqEQ9Ho9AzciolNi4ENEVCN6vR49PT0IBoOIRqOc61IjhUIBXq8XbrcbPp8PkiRBqVRieHgYdru96p08RzGbzUgmk8jlcgx8iKool8uho6OjLif+FosFFosFs7OzCAaDcLlc2NrawtzcHObm5tDb2wu73Y6BgQHez2skmUwiFArBYrEw7CEiOgPO8CEiqqF8Po9Xr15BrVbjwoULnAdRJaIoIhAIwOVyYXt7G8ViEYIgoK+vD8PDw7DZbBzuSe/EbdnpuIrFInZ2duB2u7GzswNRFKFQKCrzfvr7+7nsqIoWFhaQSqUwOzvLJdFERGfAo2EiohpSq9Ww2WzY2tqCz+dDf3+/3CU1rd3Dlz0eD7LZLACgq6urstRCq9XKXCURtSKlUonBwUEMDg4il8tha2sLbrcbW1tb2NraqswE4rDnswsGg0gmk+jr62PYQ0R0Rgx8iIhqrL+/H4FAAH6/H319fTwROKHy8GW3241EIgEAMBgMcDgcGB4ersoA12pKJBLY2dnB0NAQT1aIqiCfz2NjYwN9fX0NsbxHo9HA4XDA4XAglUpVHp/Kw571en1l2PNZdxNrR36/HyqVCoODg3KXQkTU9Liki4ioDlKpFLRaLZRKpdylNIV8Pg+Px4PNzc3K8GWNRoOhoSHY7faaD18+i2g0ipWVFdjtdvT19cldDh3B7/cDAKxWq8yV0FFCoRDW1tbgcDjQ09MjdzkHkiQJsVisEv5kMhkApXlAdrsddrsdGo1G5iqbgyiKyGQy0Ov1cpdCRNT0GPgQEVHDiEajWF9fh8vlQrFYhFKpxMDAAIaHh2G1WptiRoYoinj27BnMZjMmJyflLoeo6a2vryMYDOLy5ctNMSRZkiQEAoHKkq9CoQCFQoGhoSE4HA50dXU1bGBNRESthUu6iIjqyOPxIJVKcZv2XQqFAjweDzY2NirdPBaLBQ6HA0NDQ01xgrebQqGAwWBAPB6HJEk8sSM6o1gsho6OjqZ5LBAEAVarFVarFZcvX648vrlcLrhcLpjN5sqS1Gb5merB6XRCpVLBbrfzcZOIqEoY+BAR1VGxWEQsFkM4HEZXV5fc5cgqFotVunkKhQKUSiVGRkbgcDgaesnWcZjNZiQSCSSTyYabMURvrKysAAA7sRpYJpNBPp9v2sfL8uPayMhIpYPR7XbjxYsXmJubw/DwcOUxr53F4/HK82IzP/YTETUaBj5ERHU0ODiIUCgEt9sNi8XSFEuUqkkURWxtbVWWaACAyWSCw+GA3W5vmVe7zWYztra2EIvFGPg0sPJOb9S4YrEYADTEsOazslgsuHLlCi5cuACPx4O1tTVsbGxgY2MDnZ2dGBsbw9DQUNvNepMkCS6XC4IgYGhoSO5yiIhaCmf4EBHVmc/ng8vlwuDgIAYGBuQupy4ymUxlB5tsNguFQoHBwUE4HI6W3MJYkiT4/X6YzWbu1NXA5ubmAAAXLlyQuRI6TC6XQyQSQU9PT0sGIeFwGBsbG3C73SgWi9BoNBgdHYXD4WibocV+vx+bm5sYGBjgzlxERFXGwIeIqM4kScLr16+Ry+Vw4cKFlt25RZIkhMNhOJ1ObG1tQZIk6HQ6OBwOjI6OQqvVyl0itTkGPtQo8vk8Njc3sba2hmQyCQAYGBjA2NgYent7Wy4ULysWi3j16hUEQcDFixfbruuViKjWuKSLiKjOBEGA3W6vzK5ptcCnWCzC4/HA6XQiGo0CAHp7ezE2NgabzdZWB/SFQgGSJLXMUjWiemqn+49arcbExATGx8fh8/mwtraG7e1tbG9vw2QyYWxsDHa7HSpVax265/N5aDQa9Pf3t9VzAxFRvbDDh4hIJq22g1Mmk4HT6cTGxgZyuRyUSiXsdjvGxsZaYv7GSeVyObx8+RJWqxUjIyNyl0MHYIdPY9va2sL29jZmZmbaZnnTbolEAuvr69jY2EChUIBKpcLo6CjGx8db6vfRas+FRESNhIEPEZHMUqlUUx+8J5NJrKysYHNzE6IowmAwYGxsDCMjI23xyvxRXr58WVmqQI2nlQYCt6LFxUWk02lcuXKlrQOBQqEAt9sNp9OJeDwOQRAwPDyMqakpmEwmucs7tWZ/7iMiagat1RdKRNRkQqEQ1tbW4HA40NPTI3c5JxKLxbC8vAyPxwNJktDZ2YmpqSkMDAy09cnZbmazGYFAALlcruWW7rUCBj2Nq1gsIplMwmKxtP3jiUqlqsw+8/v9WFpagsvlgsvlwsDAAKampppu2/poNIqVlRXY7Xb09fXJXQ4RUcti4ENEJCOLxQKVSgWPx4POzs6m2IUmFApheXkZXq8XQGk+z/T0dEsPFj2tcuATi8XQ29srdzlETSMej0OSpKbuYKk2QRDQ19eHvr6+yuNwec6P1WrF1NRUUzwOl7dhVygUTRdUERE1GwY+REQyUiqVGBoawsbGBrxeL4aGhuQu6UDlbcaXl5cRCAQAoGlfWa6n8slqPB5n4NOAOMOnccXjcQDswjpMd3c3Pvjgg0qnpdvtht/vR2dnJ6anp2Gz2Ro2+PH5fMhmsxgaGmr7Zb9ERLXGwIeISGY9PT3w+/3Y2dlBb29vQ21XLkkStre3sbS0hGg0WtlhrNlnR9SLSqWCXq9HsViUuxSiplIsFqHVatHR0SF3KQ3NbDbjvffew/nz5yuz1B49egSTyYSpqSkMDQ011O5X+Xwe29vb0Gq1XMpFRFQHHNpMRNQAEokEFhcX0dnZiYmJCbnLgSiKcLlcWFlZQSKRgFKpxMjICCYnJzlk84S4A03jYodPY+N95+QymQxWV1exvr6OQqEAnU6HyclJjI6ONsSS4Y2NDQQCAUxMTKCzs1PucoiIWh4DHyKiBuH1emGxWKDT6WSroVAoYGNjAysrK8hkMlCpVBgfH8f4+HhDdR4RVQMDH2pV+XweTqcTTqcTuVwOWq0W4+PjGBsbk3UZVSaTQSgUwuDgoGw1EBG1EwY+RESEXC6HtbW1PScHExMTcDgcnLFQBT6fD/l8vmFnNLUrBj6NqTwQ3mazyVxJ8ysUCtjc3MTKygrS6TRUKhXGxsYwPj7O5XJERG2AM3yIiBpMOByGJEno7u6u+ffK5XJYXl7G2toaisUi9Ho9zp8/j5GRkYZo/28VkUgEyWQSAwMDDTVPg6gR7ezsQK1WM/CpgnKXpsPhgNvtxvLyMpaXl7G6uorR0VFMT0/XJfiJRqMoFAro6emp+fciIqI3GPgQETWQ8uwcSZJgNpuhUtXmYbpQKMDpdGJ5eRmFQqFhB3y2CrPZjHg8jmQyyWHXDWRyclLuEmifdDrNYKAGFAoFRkZGYLfbsb29XQn6Nzc3MTExgcnJyZp1c4qiiM3NTRSLRVgslpo9rxER0dv4iEtE1EAUCgWGh4extraG7e1t2O32ql6/KIrY2NjA4uIistks9Ho9rly5gqGhIQ5HrSGz2QyPx4NYLMbAp4FwLlXjicViALgde60IgoDBwUEMDAzA6/Vifn4eS0tLWF9fx9TUFMbGxqre3bmzs4NcLge73c6wh4iozvioS0TUYLq7u+Hz+eD3+9Hb21uVIc6SJGFrawvz8/NIJpPQarW4dOkSHA4HO3rqQK/XQ6VSIRaLcY5PA8lmswAY/DSSWCwGQRBgNBrlLqWlCYKAgYEB2Gw2bG5uYnFxEXNzc3A6nTh37hxGRkaq8iJALpeD1+tFR0cHrFZrFSonIqKTYOBDRNSA7HY7FhYW4Ha7MTU1dabr8vl8eP36NaLRKFQqFc6fP4+JiQm+0lpnJpMJ4XAYhUKBv/sGsbKyAoBDmxuFJElIJBIwGo0MoutEEASMjo5WOkuXlpbw7NkzrK6uYmZmBjab7UzBj8fjgSiKsNvt7CIlIpIBjziJiBqQwWBAT08PwuEwstnsqToQIpEIXr9+Db/fD4VCgfHxcUxPT7ObQSZWqxVms5knPUSHkCQJIyMjDERloFQqMTk5idHRUaysrGB1dRWPHj1Cd3c3ZmdnTzVTqVAoIBqNwmKxcIkeEZFMuC07EVGDKhQKkCTpxIM0E4kE5ufnsbW1BaDULXT+/Hno9fpalEnUtLgtO9HBMpkMFhcXsbGxAUmS0N/fj9nZ2RMHN4VCAaIoQqPR1KhSIiI6CgMfIqImIEnSOztDqnWATrWVz+drthsOnQwDn8bC+0bjSSQSWFhYgMfjAQAMDw9jZmbmnS8gHOc5i4iIao+BDxFRgwsGg9ja2sL58+cPPBnK5/NYXl6G0+lEsVg8Uws+1dbW1ha2t7dx8eJFLq1rAAx8GkehUMDz589htVoxMjIidzm0z+4lwoIgYGxs7NAlwsViEfPz8+jr60NfX58M1RIRURkXSRMRNTilUolcLoetrS2Mjo5WPl4sFitDNvP5PEwmU1WGbFLtlHdci8Vi3LGGaJd4PA4AVdmVkKqvs7MTt2/fht/vx+vXr+F0OrGxsYHJyUlMTEzseTHC6/Uim81y8DYRUQNg4ENE1OA6OzthMpkQCARgtVqh0+ng8XgwNzeHTCYDnU6HixcvcheUJlBeXhePxxn4NAB29jSOcuDDJaiNzWq14pNPPsH29jZev36NxcVFrK2tYXZ2FiMjI8jlctjZ2YFer2eXKRFRA+CSLiKiJpBOp/H69Wuo1WrE43EEAgGo1WpMT09jbGwMSqVS7hLpmBYWFpDJZHDlyhUGdETfe/XqFQDg4sWLMldCxyWKIjY3N7GwsIBsNovOzk709PQgm83i3LlzMBqNcpdIRNT22OFDRNQEVCoVcrkc3G43AGB0dBQzMzOcA9OETCYTkskkUqkUDAaD3OW0tVgsBoBdJXLLZrPIZrPo7e2VuxQ6AYVCAYfDgaGhISwuLsLpdCISiaC7u5u7chERNQguriUiamCSJMHtduOv//qv4fP5oNVqcfXqVVy9epVhT5Mym80QBAHZbFbuUtqey+WCy+WSu4y2l8lkoFAoGLw1KbVajYsXL+LGjRvo6OhAKBTCv//3/x7r6+vgQgIiInlxSRcRUYOKxWJ48eIFgsEg1Go1ZmdnMTo6ymVATU6SJEiSxIGmDYC7dDWO8uEoH9+amyRJ8Hg8ePXqVWWZ1+XLl9HV1SV3aUREbYmBDxFRg8nn85X2eEmSDly+VX5FnG3zRKfHwIfo7AqFAnK5HPR6feVjBz2Pzc7O8jmLiKjOGPgQETWI474yms1mMTc3h87OToyPj8tULZ1FLpdDIBCAxWLhHB8ZMfCRXzqdRigUQm9vL5epNimXywWfz4fz58+/9XjGTlUiInlxaDMRUQPYf1B85cqVQw+KtVotzGYzwuEwEokEd0JpQsViEdvb2xBFkYEPtbVoNAqv1wuz2czApwml02n4/X4YjcYDH8vMZjM++uijyosZz58/x8bGBpd5ERHVCQMfIiIZnbbt3W63IxaLweVy4fz583y1tMnodDqoVKrKLlEkDwYM8ovFYlAoFAw+m5TL5YIkSbDb7YdeRhAEDA8Po7+/v/J8d/fuXe42SURUBwx8iOpAkiSekNMe5d235ubmTjXYUqvVoq+vDzs7OwgGg9zOuAmZzWaEQiHk83mo1Wq5y2lLk5OTcpfQ1kRRRCKRgMlk4hDzJhSJRBCPx9HT07Nnfs9hyrt5jYyM4OXLl9jY2MDW1haXedGBeOxMVB18diWqsXA4jIWFBRQKBblLoQYRi8Xw9ddf48mTJxBFEVeuXMEnn3xy4vb2gYEBqFQqeDweiKJYo2qpVspbUMfjcZkrIZJHIpGAJEncjr0JlV+0UCgUGBoaOtHXms1m3L59G++99x4UCgWeP3+Ou3fvIhwO16haajaiKGJpaQl+v1/uUoiaHjt8iGosm80ilUphaWkJ09PTUKl4t2tXoihicXERy8vLkCQJDocDMzMzp961RKlUYnR0FAqFgq+ONyGTyQSgFAB2d3fLXE17Kp9MWK1WmStpT+UljeX7AjUPQRAwNjaGbDZ7qg7F3cu8lpaWsLq6irt372J8fBwzMzM8VmpjoihieXkZiUSCSz2JqoC7dBHVgdfrhcfjgU6nY+jTpiKRCJ4+fYpYLAaz2YyrV69yYCXB4/HAaDTCYrHIXUpb4i5d8orH44hEIkfOf6H2EIvF8Pz5c4RCIRgMBly7dg09PT1yl0V1tjvs6e/vx/DwsNwlETU9Bj5EdcLQpz2V25KXlpYAANPT05ienq56R04ikUAkEuHBEdEJMPAhOrnt7W3o9fqqB9WSJGF1dRXz8/MQRZHdPm2GYQ9RbfARlKhObDYbAGBrawvJZJKv6LeBaDSKJ0+eVLp6rl27hs7Ozpp8L7/fj1AoBLPZzHkYTahYLEKpVMpdBlHd8DbfnFKpFLa2tmA2m6t+HCMIAiYnJ9Hf34+nT5/C6XRiZ2eH3T5tIpVKIZVKMewhqjJ2+BDVWSaTQUdHh9xlUA3t7+qZmprCuXPnajpnJ5fLYW5uDhqNBrOzs9zZoklIkoRXr15Br9djYmJC7nLaDjt85LOxsYFIJIKLFy8y+Gkii4uLSCaTmJmZgU6nq9n32d/tMzExgZmZGd5WWhyPkYmqj1M+ieqs/ERWKBSwtrbG3btaTDQaxZdffonFxUWYTCZ88sknmJmZqflQZY1Gg/7+fmQyGe5q0UQEQYBGo0E8Hgdff6F2EovFoFKpeALfREKhEBKJBHp7e2sa9gBvun0+++wzdHV1YXV1FZ9//jlCoVBNvy/VlyiKWFtbQy6XAwCGPUQ1wMCHSCaRSAShUAhLS0sMfVqAKIpYWFjAl19+iXg8junpaXz66ac1W8J1EJvNBo1Gg62tLd6mmojJZEKxWEQymZS7lLbDJZDyyGQyyOVy3J2riYiiCI/HA6VSicHBwbp9X5PJhDt37mB2dhbpdBpfffUVXr16hWKxWLcaqDbKM3tCoRCDPKIaYuBDJJPe3l4MDQ0hnU4z9Gly0WgUd+/exeLiIoxGY926evZTKBQYGhpCsVhEPB6v6/em0ysHDvyb1Z/dbucOUTIo39YZtjWPRCKBfD6PwcHBug9RFgQBU1NTe7p9vvjiC4YETWz/gObynEsiqj7O8CGSGXfval7lA5bFxUUApVk909PTsi9RyGaz0Gq1stZAxydJEp4/fw6dTodz587JXQ5Rza2uriIajeLKlSuyP17S8WWzWWg0GllnxEmShJWVFSwsLEAURUxOTuL8+fO8HTUR7sZFVF88sySSWflVDY/HA4/Hg9HRUZkrouOIRqN4+vQpotEoTCYTrl27hq6uLrnLAoBK2COKYt27jOjkBEGA0WhEMpmEJEkcuF1HLpcLANjlU2fpdBp6vZ4n6U2i/FzSCC8klLt9bDYbnjx5gpWVFXi9Xly7dg3d3d1yl0fH4PV6GfYQ1RE7fIgaRDAYRGdnJw+AG9z+rp7JyUmcO3eu4f5uyWQSTqcTdru9rnOE6HQKhQKUSiXDnjrjLl3ykCQJhUIBarVa7lLoHRKJBFZXVzE2NtZwS/BEUcTq6iq7fZqMJEkIBoPo7e2VuxSitsAOH6IG0dPTU3k/FArBbDZzeVeDicViePLkSUN29eyn0WhQLBbhdrthNpvZ6dPgeF+ndiIIAsOeJiBJElwuF4rFYkN09+ynUCgwNTWF/v5+PH36tNLtc/369YZ9bm5XoigiFAqht7cXgiAw7CGqI54BEDWYVCqFtbU1DnJuIJIkYWNjA3fv3kU0GsXU1BQ+/fTThj6gVKvVGBgYQDabhc/nk7scOoZ4PA6v1yt3GUQ1tbOzg2g0KncZdAzBYBCpVAr9/f0NGfiUmc3myk5eqVQKX331FVZXV8FFDI2h3Bm9sbGBWCwmdzlEbYeBD1GD0ev13L2rgeTzeTx58gTPnj2DRqPBxx9/jNnZ2aZoGe/r64NWq8X29jby+bzc5dA7BINBeDwe5HI5uUshqony1t5+v1/uUugdisUiPB4P1Gp1U+ygVO72+eSTT6DX6/Hq1Ss8evSIj6cy2z+gudGWBRK1AwY+RA3IZrMx9GkAkUgEX375JdxuN2w2Gz777LM9S+8anSAIsNvtlZMsamzcnp1aXTwehyRJPOlrAtvb2ygUChgaGmqKFzjKLBYLPvvsMwwPD8Pr9eLzzz9HMBiUu6y2xN24iBoDAx+iBrU79FleXmZrch1JkgSn04mvvvoKqVQKFy9exM2bN6HRaOQu7cQsFgu6urrQ0dEhdyn0DiaTCQDY8l5HfX196Ovrk7uMtlG+bZdv69S4tFotzGZzU73IUaZSqXD9+nVcu3YN+XweX3/9NZaWlngcVWerq6sMe4gaAHfpImpwXq8XWq22oefFtJJ8Po+nT59ie3sber0eN27c4O+e6ub169coFAq4fPmy3KUQVR1v31RvsVgM3377LeLxOKxWK65fv84XQOokHo8jFothaGhI7lKI2hoDH6Imks/nIQgCd/SpkVAohO+++w6pVAqDg4O4evVqS+0kk8/nkc1mYTQa5S6FDuF2u7Gzs4PZ2VnodDq5yyGqmnw+jxcvXqCnpwcOh0PucugQqVQKKpWqKTtaD1MsFvHy5UtsbGxAq9Xivffeg9VqlbusliSKIgqFQkvdfoiaHQMfoiYhiiLm5+chCAKmp6cZ+lSRJElYXV3F69evIQgCLl26hNHRUQiCIHdpVSNJEubm5iCKIi5evMht2htUIpFAOByuDNym2lpZWQEATE5OylxJ68vn89jZ2YHJZILFYpG7HDqAJEmVLqxLly613POE2+3G8+fPUSgUMD09jXPnzrXczyin8syeXC6HmZkZHqcSNQg+yhE1CYVCgZ6eHg5yrrJsNouHDx9ibm4OBoMBn3zyCRwOR0uFPUBpgHN/fz/y+Ty3/m5gRqMRdrudYU+dZLNZZLNZuctoC2q1GsPDwwx7Gpjf70cmk0FfX19LBiHDw8P49NNPYbFYsLS0hG+++QbpdFruslrC7gHNXV1dDHuIGkjrPZoTtTDu3lVdgUAAX3zxBXZ2dmC32ysHgq2qt7cXOp0OXq+XW9U2OEmSOGCUWgpvz42tUChga2sLGo0G/f39cpdTM0ajEXfu3MH4+DiCwWDlGIBOj7txETU2Bj5ETYahz9lJkoTFxUV8/fXXyOfzuHbtGq5fv97yr0iVt2mXJAlut1vucugQ4XAYz58/RyKRkLsUoqpIp9N49uwZAoGA3KXQIba2tlAsFjE8PNyS3T27KZVKXLp0CTdv3oQkSXjw4EFlyTOdDMMeosbX2mc3RC3KZrMBKO0+0eoHZtWWyWTw3XffIRAIwGw248aNG221RbDJZEJnZyfC4TCSySQMBoPcJdE+Go0GxWIR8Xi8rW6b1Lri8ThEUWypIfitJJvNwu/3w2g0ttWulAMDA7BYLPj222+xsrKCYDCIGzduQK/Xy11a0yhvJMKwh6hxcWgzUROTJKkya2b3+3Qwn8+HJ0+eIJvNwuFw4OLFi1AqlXKXVXfZbBbJZBLd3d1yl0IHkCQJz58/R0dHB86fPy93OS1tbm4OAHDhwgWZK2ltKysriMViuHr1Kl+kaFCRSAQajaYtw47yphgrKytQq9W4evUqBgcH5S6rofH4k6h5sMOHqImVn2B9Ph8CgQB37zqEJElYXl7G/Pw8VCoVbty4gaGhIbnLko1Wq+VQ4AYmCAJMJhMikQiKxWJbhpL1Yrfb5S6h5UmShHg8DoPBwLCngXV2dspdgmwUCgUuXLiA3t5ePHnyBI8fP8bk5CRmZ2cZZBygvIzLZDJhcHCQvyOiBsdnXqIWIIoiZ/ocolAo4LvvvsP8/DzMZjM+++yztg57dstkMlhbW0OxWJS7FNrHbDYDKC2Fodoxm82V3zXVRjKZhCiK/D03IFEUsba2hlQqJXcpDaG/vx+fffYZurq6sLKygocPHyKfz8tdVkPZPbOHM4+ImgMDH6IWwEHOB0un07h37x48Hg8GBgZw584dzqzZJZlMIhQKYXt7W+5SaJ/yyTEHN1OzK9+GGfg0Hp/Ph1AoxGB5F51Oh48++gh2ux07Ozu4e/cuH4e/xwHNRM2JM3yIWojX64XH44FOp2v75V2hUAiPHj1CNpvFuXPncO7cObYdH2B+fh7pdBqzs7Po6OiQuxzaJZPJ8G9SY5zhUx+ZTAZarZaPwQ0kn8/j1atXUKvVuHDhAv82+0iSBKfTWfkd3bhxA319fXKXJRuGPUTNix0+RC2k3OmTyWTaukV7c3MTX3/9NQqFAm7cuIHz58/zYPYQIyMj3Ka9QTHsoVbR0dHBx+AG4/F4IIoi7HY7/zYHEAQBExMTuHXrFgDg/v37WF1dRbu+Tp5Op5FKpRj2EDUhdvgQtaBsNtuWQ3lFUcTr16+xuroKnU6HmzdvtvUgyuNaW1tDKBTC5OQkLBaL3OXQ90RRRDQahVqthtFolLuclsQOn9pKpVLIZDKwWCwcPt5AkskkFhYWYDabMTU1JXc5DS+RSODhw4dIJBIYGRnB5cuX2/L23K7HlkTNjh0+RC2o/IScz+fhdDrbYqZPPp/Hw4cPsbq6iu7ubnzyyScMe45paGgICoWCcxwajCiKcDqd8Pl8cpdCdCqBQABra2scfNtg4vE4BEHgLnXHZDQa8cknn6Cvrw+bm5v45ptvkMlk5C6r5spDvbPZLAAw7CFqUgx8iFpYJBJBOBxu+UHO8XgcX375JXw+H0ZGRnD79m0uhzkBjUaDCxcusE27wahUKuj1egZx1LTi8Tg0Gg0fjxuMzWbDxYsX+Xc5AbVajQ8//BCTk5MIhUL48ssvEYlE5C6rZsoze0KhEEKhkNzlENEZMPAhamFWq7Xld+8q76KRSqVw6dIlXL16tS1brc9Ko9EAKA2q5FarjcNsNqNQKLT1TC5qTrlcDplMhrtzNRBRFCszaMqP+XR8giDgwoULuH79OnK5XGUX0Fazf0DzwMCA3CUR0Rkw8CFqca26ZbskSVhZWcGDBw8gCAI+/PBDjI+Pc/jkGRQKBczPz3OAcwMxmUwAgFgsJnMlrWlychKTk5Nyl9GSyrfZ8m2Y5Of1ejE3N1dZokOnY7fb8dFHH0GlUuHbb7/F/Px8ywxz5m5cRK2HgQ9RG9gd+mxtbcldzpkVi0U8ffoUc3Nze9bW09moVCoolUr4/X6k02m5yyGUZkdwvlLtaLVazqWokfJtlh0+jSGbzcLr9UKhULC7pwq6u7vx6aeforOzE0tLS3j06FFLzKryer0Me4haDHfpImojoVAInZ2dUCiaN+vNZDJ49OgRwuEw+vv78d5770GtVstdVstIpVKYn5+HyWTC9PS03OUQAJfLBZVKxbb6GuAw0trx+XxIp9MYHR2VuxQC4HQ6EQ6HMT09za6rKioWi3j27BncbjdMJhM++OADGAwGucs6NUmSEAqF0NPTI3cpRFQlDHyI2lQwGITFYoFKpZK7lGMLh8N49OgRMpkMJicnMTs7yyVcNbCxsYFAIIDx8XF0dXXJXQ5RzXBbdmoH8XgcS0tL6OzsxMTEhNzltJzyEvPXr19Do9Hgxo0bsFqtcpd1bKIoIhgMNlXNRHR8zfsyPxGdWjKZxPr6elPN9Nna2sK9e/eQy+Vw/fp1XLhwgWFPjQwNDUGpVMLtdnOAMxFRE5MkCS6XC4IgcIlOjQiCgKmpKXzwwQcQRRH379/HxsaG3GUdS3lmz+bmJqLRqNzlEFENMPAhakMGg6GpBjmvra3h8ePHUKvV+Pjjj2G32+UuqaWpVCoMDg6is7NT7lLoe2tra1hcXJS7DKJjWVlZwfLystxl0Pc6OzsxMDDApYs1ZrPZcOfOHeh0Ojx79gxLS0sNPcx5/4Bmi8Uid0lEVAMMfIjaVDPs3iVJEhYWFvDixQsYDAbcuXOHS4zqpK+vD3a7vannPbUSSZKQSCQa8n5KtJsoiojH4w19ottOBEHA4OAgZ4DVidlsxp07d2A2mzE/P4+XL1825H2Bu3ERtQ8eyRO1sd2hz8rKitzl7CFJEl68eIHFxUVYLBZ8/PHHTT0IsVmJoohwOCx3GW2vvNMRd+uiRpdMJiGKInfnagCRSATFYlHuMtpOR0cHPv74Y/T09GBtbQ3fffddw/0dnE4nwx6iNsHAh6jNlUOfRnr1r1gs4vHjx1hfX0dvby8++ugjdHR0yF1WW9rc3ITT6UQymZS7lLZWPnmOxWIyV0J0tPJtlIGPvDKZDJxOJ5xOp9yltCW1Wo1bt25hYGAAHo8HDx48aKht2202G2w2G8MeojbAwIeIYLPZKmu38/m8rMtG8vk87t+/j+3tbQwNDeHDDz/ktusystlsEAQBLpdL7lLamkajgVarZeBTZRcuXOAOXVUWi8WgUqmg0+nkLqWtud1uSJKEwcFBuUtpW0qlEu+//z4cDgcCgQC+/vprZDIZ2eoRRRHZbBYAYDQaMTQ0JFstRFQ/DHyIqEIURSwuLso20yeTyeDevXsIBoMYGxvDe++9B6VSWfc66I2Ojg5YrVYkk0kEg0G5y2lrZrMZuVyucsBO1GiKxSJSqRRMJhN3UZRRNBpFNBpFd3c3l0LLTBAEXL58GefPn0c0GsW9e/dk6Zgtz+xZXFxsqE4jIqo9QWrESWJEJBuv1wuPxwOdTofp6WmoVKq6fN9EIoH79+8jlUphZmYGU1NTPGFoEMViEa9evYIgCLhw4QJDOJnkcjkApW4fqg4uP6q+fD6PYrHIZbgykSQJr1+/Ri6Xw8WLF9kh20DW19fx/PlzaLVafPjhh3XbCZMDmonaGzt8iGgPOXbvCofD+Oqrr5BOp3H16lVMT08z7GkgSqUSg4ODyOfz8Pv9cpfTtjQaDcOeKnO5XFyuWGVqtZphj4yCwSAymQxsNhvDngbjcDjw/vvvI5/P4+uvv67L8ynDHiJi4ENEb6ln6OPz+fD111+jUCjg5s2bGB0drdn3otPr7e3F6Ogo+vv7j7ycKIp1qqg95XI5BIPBhtzmlygYDHLJocx6enrgcDje+VhN8hgcHMStW7cAAA8ePIDH46nZ92LYQ0QAAx8iOkQ59FGr1VAoavNQ4Xa78eDBAygUCty+fRs2m60m34fOThAE9Pb2Htl5tb6+jqdPn2J9fb1+hbWZQCCA9fV1pFIpuUsh2iObzWJ9fR07Oztyl9LWBEFAT09PzZ636ex6e3vx8ccfQ61W49tvv8Xa2lpNvo8gCFCr1Qx7iNocnw2I6FA2mw2Tk5OVA8dqdm+srq7iu+++g1arxccff4yenp6qXTfVTj6fx/r6OuLx+J6Pi6KIYDCIQqGAYDDITp8aMZlMALg9OzWe8m2yfBul+kqlUnA6nZVZX9TYLBYL7ty5A4PBgBcvXmB+fr5qnZvl519BEDA2Nsawh6jNMfAhoiOVOzq8Xi8WFhbOvLxLkiTMzc3h1atXMBqNuHPnDgemNhFRFBEKheByufYcnCoUCvT09EClUvHV5RoyGo1QKBRvBW5EcivfJhn4yMPtdiMcDsuywyadjsFgwJ07d9DZ2YmlpSU8f/78zC+WlJdxud1uAOA8RCJi4ENEx3fWmT6iKOLp06dYWVlBV1cX7ty5A71eX+UqqZa0Wi1sNhvS6TQCgcCezzkcDly7dg0Oh0Oe4tqAIAgwmUxIJBLsoqoCrVYLrVYrdxlNT5IkxGIxGAyGuu3sSG+Ew2HE43FYrVY+pzYZrVaLjz76CFarFRsbG3j8+DGKxeKprmv3zB4iojIGPkR0LGcd5FwsFvH48WO4XC709/fj9u3b3HGoSZV3f9na2nrrwJSdPbVnMpkgSRK7fKpgcnISk5OTcpfR9NLpNIrFIrt7ZCCKItxud2U3RWo+KpUKH374IYaHh+H1enH//n3k8/kTXQcHNBPRYXhkTkTHdtrQp1gs4tGjR/B6vRgeHsbNmzf5KnATUygUGBoaQqFQwNbWltzltB2LxQKz2cxwjRqGJEmwWCywWCxyl9J2dnZ2kMvlMDAwwOfVJqZQKHD9+nWMj48jGAziwYMHxw59GPYQ0VF4tEhEJ1IOfTKZDNLp9DsvXygU8PDhQ/h8PoyMjOD69es8UW0BPT09MBgMSKfT3CK8zjo6OjA1NcVuiirw+/3w+/1yl9H0DAYDJicnYTQa5S6l7aTTaXR0dKCvr0/uUuiMBEHAxYsXMTk5iVAodOxOn0wmg1QqxbCHiA4kSDxSJ6JTyGaz75x9UQ57AoEAHA4HLl++zAGCLaRQKPAVZWpqc3NzAIALFy7IXAnR6fGxuLVIkoT5+XksLy+js7MTt27deucS+OMckxFRe+LL7ER0KuUDi1wuh9XV1beWdxUKBTx48ACBQABjY2MMe1rQ7hMM7gxTX6lUCgsLCwiFQnKXQm0uFothfn6eg2LrbPdjLsOe1iIIAmZmZnDu3DlEIhF88803yOVyey4jiiKcTicymQwAMOwhokMx8CGiM4lGo4hEIntm+uTzedy/fx/BYBDj4+O4dOkSw54Wtrq6ioWFBS7tqiO1Wo1kMolYLCZ3KdTmYrEYUqkUlEql3KW0lZWVFSwuLvJxt0UJgoDz58/j/PnziEaj+Prrr5HNZgG8mdkTDocRDodlrpSIGh0DHyI6E6vVumeQczqdxv379xEKhTAxMYGLFy8y7GlxBoMB2WwWPp9P7lLahlqtRkdHBwMfkl0sFoNKpYJOp5O7lLYRDAaRTCZhMBj4/Nrizp07h5mZGcRiMXz99ddIp9N7BjQPDAzIXSIRNTj2gBLRmdlsNgCAy+XC3bt3kclkMDk5idnZWR6MtoG+vj4EAgFsb2+ju7sbarVa7pLagtlshs/nQyaTQUdHh9zlYG5uDv/23/7bd17u137t1zA6Onrg5yKRCB4/foz19XUkk0loNBr09/fj8uXLmJqaqnbJdEb5fB7pdBrd3d1yl9I2isUiPB4PVCoVT/bbxPT0NARBwOvXr/HFF1+gp6cHg4ODHNBMRMfCDh8iqoqenh5Eo1FkMhnYbDaGPW1EoVBgeHgYxWKR27TXkdlsBoCG6/IRBAF6vf7Qt8OW/qytreGf/tN/ihcvXiAWi0GpVCKTyWB9fR3/+l//a/zlX/5l1Ws1m82V3yOdXDweBwD+DuvI6/Uin89jaGiIy+jayNTUFEZGRpDL5RAOh2G1WuUuiYiaBDt8iOjM8vk8Hjx4gGQyCbvdjitXrjDsaTOdnZ0wmUwIBAKwWq3Q6/Vyl9TyjEYjBEFALBZrqC2ZTSYTfvu3f/tEXxONRvGzn/2sciL7N/7G30BXVxfy+TweP36M+/fv49WrV+ju7sb7779ftVrtdnvVrqsdlcNGk8kkcyXtIZvNYmdnBzqdDj09PXKXQ3V29epVqFQqOJ1OfP311/joo484rJmI3okdPkR0JuXduEKhECYnJ3Ht2rXKq46BQIC7N7URu92O7u5u7hhTJ0qlEpOTk3A4HHKXcmZff/018vk8DAYDfvVXfxVdXV0ASrOKbt++jcuXLwMAHjx4UNmVhuRnt9sxOTn5zi2jqTqUSiV6enpgt9v5okqbEEWxMh9PEARcunQJs7OziMfjB+7eRUS0HwMfIjq13WHPxMTEnmVciUQCGxsbe3bvotam0+kwNjbGk786MpvNTR+w5fN5LC8vAwCuXLly4CvWH3zwAQAgl8thZWWlat/b5XLB5XJV7frajVKphMVikbuMtqFSqTA6OsqOqjZR3o3L5XIhEolUPj41NVUZ5MzQh4jehYEPEZ1KoVDAw4cPEQwGMTY2hgsXLux5xdFoNO7ZvYuhT/uQJAmBQACiKMpdSltIp9NIJpNyl3FqHo+n8vgwNjZ24GXMZnNlMPDGxkbVvncsFmu4GUjNIpVKIZVKyV1GW5AkCX6/n4+pbaQc9pR34+rs7Nzz+enp6cqW7ffv30c+n5enUCJqeM39siARyaJYLOLRo0cIBAJwOBy4dOnSge3l5d27PB4PlpaWMD093fTdCPRuwWAQGxsbyOfz3EWmxiRJwuLiInQ6Hc6dOyd3OQBKAdSf/MmfIBQKQZIkGAwGDA4O4tKlSwfOzAkEApX3e3t7D73e3t5ehEKhPZcn+WxvbyMajeLKlSscHlxjgUAAm5ubKBaLledVal37w57DduM6d+4cRFHE0tIS7t+/j1u3bnGXTCJ6Czt8iOhEymGP3+/H6OgoLl++fOQsAZvNVun0qeZSDGpcPT096OjogNfrZat5jQmCAJPJhGQyiWKxKHc5AEpLtHZ2dqBUKiFJEqLRKObn5/Ev/+W/xF/+5V++1aWQSCQAAB0dHUcGwuVlLM3czdQqJElCPB6HwWBg2FNjhUIBW1tbUKvVDTWcnWrH6XS+M+wpO3/+PKamphAOh/HgwQN2+hDRW/hSOxEdmyiK+Pbbb+Hz+TAyMnLs3bjKr0hy56b2IAgC7HY7lpeX4fF4Dl2mQ9VhMpkQiUQQj8ffavuvJ4PBgFu3bmFqagrd3d2VwGd7exvffPMNNjY28OrVK6jVavzwhz+sfF35BOVd3X/lzzNElF85YOQsmdrb3t5GoVDA2NgYFAq+TtsOBgYGoNfrMTg4+M7LCoKAmZkZSJKElZUVPHr0CB9++CGDWCKq4DMHER2LJEl48eIFvF4vhoaGcPXq1RPtEmKz2WA2mwGUTtg406e1mc1mWCwWhEKhSgcH1Ub5fhWPx2Wtw+Fw4Pbt27BarZWTDUEQMDg4iJ/85CeYnJwEADx79gzhcFjOUumMyre18m2PaiOTycDv98NgMFRmWFFrEkWxsgNheRnscQmCgNnZWYyNjSEQCOC7776DJEm1KpWImgwDHyI6loWFBWxsbMBqteL69eun3hK2WCxicXGRg5zbwPDwMARBwPb2ttyltLSOjg5oNJqGHj4sCAI+/fRTAKXw2Ol0Vj5XnjnxrseD8ueruQtcX18fl8mcQiwWg0KhgMFgkLuUlub1eiFJ0oGzr6h1lGf2LC4unnpJVnnL9qGhIWxvb+PFixcMfYgIAJd0EdExOJ1OLC0tobOzEzdv3jxTW7lSqYTVauUg5zbQ0dGBiYkJGI1GuUtpeWazGYVCAZIknTqMrbXOzk7odDqk0+k9WwyXbx+ZTAaFQuHQx4NyV0k1Qwar1Vq16zoNURSbcpmORqOBVqtt2NtaqxgZGUFnZyeDtRa2f0DzWYYuC4KAa9euIZfLYX19HR0dHQ0zzJ+I5NN8RxlEVFcejwcvX76EwWDAhx9+WJVwZvcgZ3b6tDaLxcJZAjW2vr6OQCAApVLZlCfgu3fmOmoHrvLnjtrJq5msr6/j6dOnWF9fl7uUExsbG4PD4ZC7jJanUChknctFtXXc3bhOQqlU4v3334fFYsHCwkJTPr4QUXUx8CGiQ/n9fjx58gRarRa3b9+GVqut2nUz9GkfoijC4/Fga2tL7lJajiiKCAaDKBQKCAaDb+2A1UgikQjS6TSAUhBYNjQ0VAmSDzs5icViCIVCAIDR0dGq1bSysiLL7oHN9Hej+vP5fJVt2Kk11SLsKVOr1bh16xYMBgOeP3/O516iNsfAh4gOFIlE8OjRIygUCty6dasmO2yVQx+NRsMukBYmCAJisRi8Xi+y2azc5bQUhUKBnp4eqFQqiKIoS3hxXHfv3gVQuj2Mj49XPq5WqzE1NQWgNND5oNvIo0ePAJSWEpWHP1dDNpuV5Ta5++/W09PTVMu6VlZWeAJZQ/l8HltbW4jFYk3ZsUfHIwgCNBpN1cOeMq1Wi1u3bkGr1eK77747snuSiFpb8xxhEFHdJJNJPHjwAKIo4oMPPtjzany12Ww2TExMVA5s+Up36ylv0y5JEtxut9zltByHw4Fr165hYGAA8Xi80kVTT7FYDP/8n/9zvHjxAtFotPLx8rbsP/3pT7G8vAwAuHz58ls7Dn300UdQq9VIJpP4V//qX1V28crn87h//z6eP38OAPjwww/R0dFRp5+qtsp/t2ZaGpXP5xGNRpHL5eQupWVtbW2hWCxieHi4qYJAOp7yMY4gCHA4HDUJe8oMBgNu3boFhUKBhw8f7nlsJqL2wUmpRLRHJpPB/fv3kc1m8f7779dlXkY57Nne3kY4HOYg5xZkNBrR1dWFcDiMWCzG7ZyrTKFQwGw2Y2dnB7FYDDqdru41eL1eeL1eAKU5EhqNBrlcbs+ylIsXL+KHP/zhW19rsVjw4x//GD/72c/gdrvxx3/8x9BqtcjlcpWdZi5evIj333+/qjXLPTRZru990p+7fPnyTnC8/9ZGKpVCIBCAyWTi7J4WVF7GpdPpMDIyUpcOLovFgps3b+LBgwe4f/8+7ty5wyHgRG2GZ1REVJHP5/HgwQMkk0lcuXIFg4ODdf3+giBUZvow9Gk9w8PDiEajcLlcmJ2d5XKFKjMajZXlc/39/XX93nq9Hj/84Q+xvb0Nn8+HVCqFbDYLpVIJi8WCwcFBXLx4EUNDQ4dex9jYGH7zN38Tjx8/xvr6OpLJJDo6OtDX14crV65Uln0dRZIkFAqFt97Kr6pLklQJkDY3N7GwsACz2Yyuri4Apceg8u1SEAQoFAqoVKq33g667VYrPKp1CLW+vo5gMIienp5jdRftvnz5d2cymWpWXztzuVwAwG3YW9DumT31DlysVivee+89PH78uBL6VHMmIxE1NkEqP3sTUVsrFot48OABAoEAzp8/L9tWnl6vFx6PBzqdjqFPC9ra2kI4HMbU1BQ0Go3c5bScpaUlJJNJXL16takDtUKhgEwmg2w2i0wmU3nL5XJ7gpxisfjW/49DFEU4nU4Ui0UolUqMj4+fKGQRBAFqtboSAPn9fiSTSXR3d2NkZKSybXlHR0flTavVvnPL5ZOGMScliiKePn2KQqEAlUqFa9euHflz7798uXNrdna26rW1u0KhgOXlZRgMBoyMjMhdDlVRLQc0n8Ta2hpevHiBzs5OfPTRRzy+ImoTvKcTESRJwpMnTxAIBOBwODA9PS1bLTabDUBpO3h2+rQem82GgYGBpg4jGpnZbEY8HkcikWjILgxJkpBOp5FKpfYEOfvDnXft2qdUKisBhEqlglarfasLp/y58vvAmw4eQRBgs9mws7ODzs7OyiDo3R1AkiRBFMW3uoU2NzcRDAZhMBjQ19eHXC6HnZ0dZLNZhEKhIzt0yoGJXq+vhEDlQEij0cDtdkOlUiEYDGJkZORUy67e9fmenp5KqFS+/GFfu/vyBoMByWTyVMu55F461wxUKhXOnz8Pvg7bWhol7AFKXZTZbBaLi4t49OgRPvzwQ94vidoAO3yI2pwkSXj58iXW1tYwMDCA999/vyFOxr1eL7a3tzE1NQWj0Sh3OVQDuVyOXT5VVg5NTCaTbAfykiQhl8shmUwikUhU3sr/P2wwu1qtfqsrZn8ootVqoVQqq/azHTeIKF/usA4Zp9OJcDiM7u5uDA8PI5fLHRhora2twe/3Q6vVoru7+63vv7Ozg2Qyif7+fkxMTMBoNFbeDAYDtFrtgY/P7+oM2v/53d/3OF1F5b9ZIpGARqM5cHD2Yb/LWncttQI+FraudDqNxcVF9Pb2yhr2lEmShOfPn2NjYwPDw8O4fv16QxzzEVHt8GXzNvA7v1P693d/F5CxcYMa1PLyMtbW1tDb24v33nuvYZ74bTYburu7eRDcorxeL7a2tjAzMyPLgOFWpdVq6zabQRTFSjfR/lAnn8+/dXm9Xo/e3l4YDAYYDAbodLo9YU65C6ee3hX2iKJY6egpBxY9PT3w+/2VDpn19XWEw2F0dXVhbGwMQCm82j+nQxRFSJKE4eFhqFQqmM1m+Hy+SqdQJpPB+Pg44vE4UqkUdnZ2KkOwy2GKSqXaEwAZjUbo9Xr4fD5IknRgZ5AoiggGgygUCm99vvy5XC53ZFdR+WOHdfccFuoc9b2pJJfLYW5uDlartSECAaounU6H2dnZhjmWEQQBV65cQTabhdvthkajwcWLFxvm2I+a3+/9HrC0BPzNvwn8+MdyV0MAA5+6yeVKN/7NzdLbxgYQCpU+d9w7RCwG/OVfAi9flr5WrQYGB4Fbt4CPPgL4WE0ntbGxgfn5eZjNZty8eVOWE66jlA+QstksXC4XHA4Hl3e1CLPZDI/HA7fbfaxhvHR8kiQhlUpVNUQRRRGxWAyRSATRaBSRSASxWOytbh2tVguz2bwnkCgHPI32+AIAc3NzAIALFy689bn19XX4/X54vV709fVVAovddgca4XB4T5fL/o6X3cujyjvWqVQqFItF2Gy2PV9XlkwmsbCwAJfLBbVaDYvFgkQigUgksqcOn88HURQxPDyMjY0NdHZ2wmw2V7qhDlrGVa4pnU5jfX0dDofj0NolSUIymYTBYHjrxPCoUOeo790sQ65rzePxQBRF7nzWQkRRxNraGgYHB6HT6Rom7CkTBAE3btzA/fv34XQ60dHRwedh2iOZBJ4/BxYWSuetwSAgioDRCIyOls49r12Tu0o6Lp451cn6OvD7v3/6r9/YAP7RPyrdAQFAqwUyGWBlpfT25AnwX/6XAM+F6bi8Xi+ePXsGvV6PW7duvXOYqJyi0Sii0Shn+rQQvV5fORGMRCLcgriKgsEgNjY2MD4+Xtl96iSKxSLi8TgikUjlLR6P7wkitFotent70dnZCZPJVAl2GuFxpBoBQDnEKP/M5eACQOXj5XDjoECjvMRrf8eLw+GoBCK7L7P76+bm5iCKIq5cuYKRkRF4vV7EYjGo1WrcunULCoUChUKh0k0Vj8dhs9kQCoWQy+Xw4sULAKWTuvL23p2dnRgdHX3r9iCKInQ6HSYmJqDRaA7saAJKS7mWlpYwNDRUmbNW9q5QZ/fPXHaaZV4H/V2bfblYIpFAKBSCxWJh4NMids/s0el0DdvBqlQq8cEHH+DevXt4/fo1tFoth4VTxX/335UCnjK1GlAqgUik9Pb8OXDxYmkVSYPlmXQAnjXVkV4PjIy8efuX/7LUtfMu6TTwB39QCntsNuA//89L6WqhANy7V7qeubnSv3/n79T+56DmF4vF8O2330Kj0eDWrVsHzmNoJH19fRBFkYOcW8zQ0BDC4TDcbjcsFgtbyqukPKw5Ho+/M/ApdwMFAgGEw+FK587u8X5arRZWqxWdnZ2wWCzo7OxER0dHQ/y99ocA5a4cq9VaCQBOEwDtDjEuXbq0J7DYHW4AeCvQcDqd+OabbypLuvaHHfuXgZXrdDqduHfvHhYWFiodAeUlPuXf9e6lXRaLBRaLZU/dmUym0oFVftvc3MTm5mblekwmEywWC7q6utDb24vu7m6EQqE9gVahUIDf76/UHo/HAezdjn337/Ukoc5plnkddF2tsFzM5XJBEAQu5WoR+wc0Dw4Oyl3SkdRqNT788EN89dVXePbsGQwGQ+VxgNqbKAIOB3D7NnDhAtDbW/p4MAj8/OfA118Dr14Bf/InpfNSamw8Y6qTyUngf/vf9n7sz//8eF/7V39VCobUauDv//03dzqVCvjss1Ig9K/+FfDVV8CPfgT091ezcmo12WwWDx8+hCiKuHXrVtMMRObuXa1HrVZjYGAAHo8HOzs7b3UO0OmU5/jEDnhFYXfAU37LZDJ7vravr6/SFWKxWM70CnUtl9scNIj45cuXCIVCle3RNzc39wRAJ6nnoBBj98c3Nzfx9OnTt0KIcDhc2dGqq6vrra8/aBkYgMrXZTIZdHZ2QqFQQKFQ4NKlS/D7/Uin03j+/PmR3SzleUj9uw4EstnsngAoGo3C5XLB5XIBQGWAdHnZVnd3N169egUA2NzchMPhQCwWg1KphF6vP/B3D+Ctzp6DgqPy5Q7rCDrIYXOGTno9tXCW23cgEEAqlUJ/f3/Dv+hC79ZIu3GdhE6nwwcffICvvvoKjx49wqefflq5n1P7+gf/ADh37u2P9/QAv/mbpW6fu3eBhw+BX/1V4BTNxFRHPFuqk7Mchzx4UPr3/fffhD27/fCHwP/7/wLZLPDo0dHzgDKZ0hyg774rzQHSaIDxceBXfgX4ftYktTBRFPH48WOkUilcvXq16V7J2R36eL3epjmgosP19/cjk8m81alAZ2MymSphTrFYPDTgMZlMGBgYQG9vL7q6uqq6/KCay232n1gf1N1RDk7K26mXA6ByDeUw5iT1HDVz5qDukt1Lv7q6ujA+Pn7gdR4UVJS/zmq1QqfTwWq1QqFQwOFwoFAoYHFx8dCuoaNotVr09/e/FQKFQiEEAgEEg0Fsb29je3sbQCmIDYVCMJlM2NjYwODgIJLJJDo7OyEIwrE6a8o/48uXLwG8CY7KDgvTDnLYnKGTXk+1nfX2bTQa0d3djYGBgeoXR3Xn8/maLuwps1gsuH79Oh4/foxHjx7h448/5gtqbe6gsGe3jz4qBT5AaWzJYYGPJJVWo9y7B3i9pf8PDZUaFj74oJoV01F4b25wOztvhjtfvHjwZbRaYGqq1Fr3+vXhgU80Cvwv/wvg85W6hQShtEzs5Utgfh74r/4rYHa2Nj8HNYbyyc/4+DhGR0flLudUbDYbtFotZ760CEEQmnL2RiNLJpNIpVIIhUL4/PPPkcvlKp/bHfD09PQca0ev03QxVHO5zWHdJLtDk/Lcma6urkq9u5cx7Z7Jc9J6Dpprc1R3yXFCiIMus/tj+4c/R6PRI7uGTkqr1WJgYKASNpS7Z8oBUDabxdLSEoDSUrOhoSFoNBrE43EYjcZjddaMjIzA7/fv+Z0Db0K0k/z+988Z2r9E7l1fX+1AqBq3746OjsqubtT8+vv7odFo0N3dLXcppzI4OIjz589jYWEBT58+xY0bNxpi2S41pt3j+natAN9DFIE//MPSvB+FotRkkM0CTmfpzefjLl71wsCnwXk8b94/ainw4GAp8NnaOvwyf/qngMVSatMrb8++sQH88R+XgqU/+ZNSIMTH99a0traG9fV1WK3WA3ekaSa755L4/X50dXXx1agWEA6HodVq2U5+QuXOFa/XC6/Xi0QiUfmcTqeDw+FAb28vent7T7xl+2m7GMqByO7ty49rf9hx2Il1OSABgKdPn6JQKECr1VY6AYPBIC5cuIBgMAir1Vr52O56Jicn3/nzH7RTV7nz5l3bmB/lqK87aHcv4PCuobPSaDR7AqAPP/wQn3/+OUKhEKLRKJLJJJxOJ5xOJ/R6PWw2G4aHhyu/14MoFApYrda3QrnT3pZOs3SrVkOdz1JTNptFIpFoug5bepsoivD7/ejv74cgCE0b9pRNT08jFotha2sLS0tLOPeuNg9qW9+/HgCg1LFzkC++KIVBv/VbwI0bpZAoHC6dj754UZoF9MEHQF9fPSpubzxDanDR6Jv3j1ofWW52yGRK6elBx/RKJfC7vwvsmrkIh6M0Yf1/+p9Kg7icTmBiohqVUyMJBAJ4+fIlDAYDbty40XSDLQ+TSCQqMzo406e5ZbNZOJ1OGI1GHmQeQz6frwQROzs7lS6ejo4OjI6Owmq1oqen50yzQeQYirv/BP1dJ9a7l0OVZ/UAqCwlslqteO+99yqX2/8zHBWA7d+pq/x9TtJdUi31XrrU0dGBmZmZyu99cHAQwWCwcpsrhz8qlQr9/f2w2Wzo6+t7a/vpg0K509yWTvPz1/r2e9q/idvtRiQSQUdHR2WJHjWf3TN7NBrNqXZEbDSCIODatWtIJpNYWFiAyWRq+MHTVH+pVGmUCFBaYXLY7NhU6u1ZQF1dpfPOf/gPS7t9ffst8Mu/XPOS2x7PjhrcrlELR257t/tzmczBgc+dO3vDnrKhodJsoEAAcLsZ+LSaZDKJx48fQ6lU4ubNm28dkDczo9GIoaEhDnJuAeWdoPx+f2XoLu2VSqUqAU8gEKgEERaLBWNjY+jv76/MWamGs3QxnOZk+7CvOe6Jdfn3cdhSooNks1kABwc/u3/+aiyjOqt6f//9v/dyB9ClS5cQj8exvb0Nr9cLj8cDj8cDQRDQ09MDm80Gm81WCTMO2t3sND/LUfOUDrv8cb/naZd9nfRrYrEYIpEIurq6GPY0sf0Dmlsh7ClTqVS4efMmvvzySzx58gQGg4Ez9qhCkoD/4/8oNSSo1cBv/Mbhl52YOHgWkEpVGiHyzTd7V7JQ7fDMqI0ctVTcYikFPslk/eqh2svn83j48CFyuRw++OADmM1muUuqOu7e1ToGBwcRCoXg8XgquxS1M0mSEIlEKku1yrtuKRQK9Pb2wmazob+//9AlcIVCAR6PBwaDAb0HTfw/htN2MRw1aPeorznsBP1dJ+vl3bl8Ph9GRkb2LCUqf+1By3tWVlYA4NBlrg6HA8PDw3j+/HlTb/99WtFoFNFoFIODg5UXCwRBgNlshtlsxrlz55DJZLCzswOv1wu/349AIIBXr17BaDRWwp/u7u6qdSmdZJnWcb5nrZZ97SdJElwuFxQKRdMN9aU3mnU3rpPQ6/W4efMmvv76azx8+BCffvrpiZcDU2v6F/+itBwLAP7j/xg46uZ/1HlneWUKzzvrg2dFDW53N34ut/f/u+2ayXnoZY7q7FcqS/8WiyerjxqXJEl48uQJ4vE4ZmdnW3rL692hz+rqKpcENSmVSoXBwUG4XC54vd62bSWPxWJwu91wu91Ip9MASjNW7HY7bDYbrFYr1LsnJh5CoVAgFAohm82eOvApX89JvWvQ7mHOEgpIuyZH7r+esyzvUalUsm//LZdwOIxwOHzkSW15GeHo6CgKhQICgUAlpFxZWcHKygq0Wi2Gh4cxPDwMi8Vy6i600/wd3xUW1mvZot/vRyaTwcDAQEt12rabtbW1lg57ynp6enDlyhU8e/YMjx8/xu3bt9vqsY/e9md/Bnz+een9X//10k5dRznqvLN8U+J5Z30w8Glwu7sow2HgsN07I5HSvx0dBy/novazsLBQ2br8XYNJW4HNZoMgCBz42+SsVisCgQD8fj9sNlvbHGCm02l4PB643W5Evx/e1tHRgYmJCQwMDKC7u/vEJ8kKhQJGoxHxeLwmOxW963ufNiQ5TTfRpUuXKjN8jhp8fNrQRs7tv+UUj8eh1+uP3TWpUqkqXT3lDrXt7e1KGL+6ugqTyVQJf076eH3Wv+Npr++s9x9JkuDz+aDRaFr6xZd2MDAwAJ1O1xYvSIyOjiIWi8HpdOLly5e4cuWK3CWRTH76U+Df/bvS+7/2a8CPfiRvPXQyDHwa3O7J51tbhwc+5d252uD5h46hvLyps7MTV69ebZutNft3TY7LZrNQKpVc3tVkytu0q1Sqlj+5zufz2N7ehsvlQiAQAFA6YR4ZGYHdbkdPT8+Z77tmsxmxWAyJRKKuSzpFUaxrSHLardBPotVvj/ulUikUCoVTd4cJgoCuri50dXVhZmYG4XAYbrcbHo8H8/PzmJ+fR3d3N+x2+54lY+9S7dvVu66vGku+BEHA+fPnkc1m2+521ApEUUQul0NHRwf0en1bvbB04cIFxONxrK+vw2w2Y+yodTrUkn76U+Cv/qr0/k9+AvziL8pbD50cz4QaXF8f0N0NhELA3Bzw3ntvXyabBZaXS+/Pzta3Pmo8kUgET58+hVarxc2bN6Esr9drI8ViEUtLS1AqlZzp04Ra+WBaFEXs7OzA7XbD6/VWOgcGBgYwPDyM/v7+qt5nTd9P6o/FYlUPfA7reqjXTJT9TrsVOh2sPDPKdNBuDydU3rK6u7sbFy9ehM/nq9wHQqEQXrx4UVkiY7PZ3nkfqHYnzlHXV17y5ff7zxQ0qVQqPhc1ofLMnkwmg5mZmbZbjqdQKHDjxg3cvXsXL1++hNForOyGSK3vz/7sTWfPT34C/NIvyVsPnQ6feRqcIAAffgj8xV8Ajx8Dv/IrQE/P3st88UUp9FEogJs3ZSmTGkQmk8HDhw8hSRJu3rwJnU4nd0myUCqVsFqtHOTc5Px+P8LhMKamppq6S02SJITDYbhcLng8HuTzeQClGQnDw8Mn6m44qfJynHg8fqKve9eJcznU6erqwvj4+J6vq/dW7lQb8XgcgiDAaDRW9XoVCkVl2Ve5y60c/ni93sosr5N2uR0naDxpIFRe8vXy5UsAwObm5olDzNXVVRgMBi7lakL7BzS3W9hTptFo8MEHH+Du3bv49ttv8cknn3CXuTawO+z5tV9jZ08z4xlQHaVSwPe7xgJ4834uByQSbz6uVu+dw/NLvwTcuwfEYsDv/z7wn/1nwOgoUCgAX38N/Ot/XbrcnTvArhUt1GaKxSIeP36MTCaD69evt/221ty9q/nlcjnE43EEg8EzDR2WSz6fh9vtxvr6+p5uicnJyVPNLzmtkZGRYw15LnvXiXM51Nnc3MT8/DwAVEKfas9YqbXDduei0q55mUympn9DtVqNkZERjIyMIJPJwOPxwOVyYXNzE5ubmzAajXA4HLDb7UeebB8naDxt59nIyAj8fn/le5wkxIxEIohEInzuaULtsBvXSZhMJrz33nt4+PAhHj58iDt37pzoeYWay+6ZPX/rbwG/8Avy1kNnw2egOvqf/2cgGHz743/1V2/WRgLArVvAb/3Wm//rdMB//V8D/+gfAdvbwP/6v5aGM+fzb6abz86WJqZTe5IkCS9evEAoFMLk5CTsdrvcJTWE/aHPuXPn2nKJW7Oy2WwIBoPweDzo6upqmr9dJBLB+vo63G43isUiVCoVHA4HHA4HzGZz3buVurq6jn3Z45w4KxQKdHV1YX5+HgaDAeFweE/nRLsOOG41BoOhrq/il4eUT0xMIB6PY2NjA5ubm3j16hVev36NwcFBjI2Noaur66370LuCxrN0nikUClit1hOHmJIkwe12Q6lUtsWA31bCsOdgNpsNs7OzeP36NZ48eYKbN282dfctHSwUenNeKgjAX/5l6e0wv/iLXOrV6Bj4NInRUeB/+B9Kd7gXL0o7dmm1pSHNt26VtsbjY277cjqd2NzcRF9fH2Y5yGmPcuiTTCZ5AtpkyidKGxsb2N7ebuiD7mKxCI/Hg7W1NUS+3zbRYrFgbGwMQ0NDsr/Cv3vo6FGO26EzPj4OURQRjUYPvNxp72v13k2s3HlVz4HWzSCTyUCj0cj2mGkymXDx4kXMzMxga2urEqC63W6YzeZK18/u+9VRQaMcu7Tt7Owgm81iaGiInRBNRqFQoKOjAwaDoaGfd+QwOTmJWCwGt9uNhYUFzMzMyF0SVZkk7X3/+6fJQ2Wzta2Hzk6QpN1/ViJqNqFQCPfu3YPBYMAnn3zCA8tjqPdJJZ3N/Pw80uk0Zmdn3xlY1Fs6ncba2ho2NjaQy+WgVCoxPDyM0dHRE3XW1Nrr169RLBZx6dKlIy9Xvm8UCoUjQ6rDZvichRzDnufm5gBwadd+8/PzyOfzuHz5stylVMRiMayvr8PlclVun6Ojo3A4HMeeM1Srx/7915vP5/Hq1Suo1WpcuHCBXRBNgscGx1MsFnHv3j1EIhF8+OGHe3ZIJaLGww4foiaWy+Xw7bffQqFQ4P3332fYcwwejwfRaJQzfZqI3W6H0+k8VodKPUiShGAwCKfTie3tbQCl5S/T09PvnDUiF6PRCL/fj0wmc+jv0Ol0IhwOI5lMwmAwvHOGT6FQeGs512m147DnRj25LBQKSKVSDRVYAqUurMuXL2N2dhYulwtra2tYXV3F6uoq+vv7MTY2hr6+viPDlWr8vvf/3XYHleXbbS6Xg0qlwvDwMMOeJlFextXR0YHR0VG5y2loSqUS77//Pr744gs8efIEn332WdtuEkLUDHi2Q9SkJEnC06dPkU6ncfXqVS5JOCalUol0Os1Bzk3EaDTi0qVLsp84SZKEra0tLC8vIxqNAgD6+vowNjaG/v5+2es7itlsht/vRzwePzDwcTqd+OabbxCPxxEIBCpLQw+b4VPtwcxHXWejBiNnIdfW9cdR3tGtUZ9TVCoVxsbG4HA4EAgE4HQ64fV6sbOzA6PRiKmpKQwPD9fkNrP/77Y7qHz58iX8fj+sViscDgcuXrzY0I8J9MbumT3cfep49Ho9rl27hkePHuG7777D7du3W+5xmqhV8EyHqEmtra3B6/VieHgYIyMjcpfTNLh7V3Mqnzhls1loNJq6nkgVi0W43W4sLy8jmUxCqVRibGwM4+PjVd+yulZMJhOA0rIYq9W653OiKCIcDkOn02FtbQ29vb1Ip9OwWCyHHsCXZ5pU00FzUho5GDmtRu9mapa5RoIgwGq1wmq1IpVKYW1tDevr63j69CkWFhYwMTGB0dHRqj2+H/Z36+npgd/vr1xma2vr1H/TVgw3Gx0HNJ/ewMAAxsfH4XQ6sbi4yHk+RA2KZzlETSgSiWBubg4GgwGXL1/mq4gnxNCnOcViMaysrGB4eBh9fX01/36FQgHr6+tYXV1FJpOBWq3G9PQ0xsfHodVqa/79q0mpVMJgMCAej0OSpD2PGeWTVgCwWq0wGAxIJpOIRqNYX18/NGjZ3Nysehizv7OnkYOR02r0retjsRi0Wm1DLk08jF6vx4ULFzA9PV1Z6vXq1SssLS1hfHwc4+PjZ17yfNjfrRxUbm5uwul0IplMIhKJoLu7+0TX34rhZqNj2HN2s7OzCAaDWFpaQm9v71svKBCR/HiGQ9Rk8vk8vv32WwDAjRs3OLfnlMqhz/b2NrLZLAOfJmA0GqFWq7G1tYXu7u6a/c1yuRycTiecTify+Ty0Wi1mZ2fhcDia9v4miiLMZjPy+Tzy+fxbJ/O7u2sKhQKeP39+ZNBSjzCmGsHIuzom5AruGnXr+mKxCKVS2TSda/vtDmU3NzexsrKChYUFrKyswOFwYGJi4kxzwA77uykUCoyMjCASiaCnp+dE3VGiKALAW/en8vVS7eRyOWQyGYY9Z6BUKnHjxg18+eWX+O677/DZZ581xKw9InqDu3TRkURRhM/nQ19fHw88GoAkSfjuu+/g8Xhw6dKlqu2O085yuVxTvZLd7sLhMJxOJ6xWa9WXFKXTaayurmJ9fR3FYhF6vR6Tk5MYGRmBUqms6veqtqOCjXLnQCqVgl6vP1YHwXG6DerVkXDaZS7smDi9/V1gwNmWG8m1VEkUxcpyzEQiUQlmJicnqz6rZWtrC9vb2xgZGTlw2eRBP//u2yiAA9/ffdvlkq/q4zFAdbjdbnz33XewWq24desWO88bgCRJ8Pv9NX2BjJoDAx86UvkARqPRYHh4uOF27Wg36+vreP78OQYGBvD+++/zCbWKstksXC4XHA4Hnxgb3OLiIhKJBGZnZ6uyM0gikcDKygpcLlelE2ZqagqDg4NNcXJ1VLAhiiKePn2KXC6H1dVVTExMQKPR4Nq1a+/82Y5zctmoJ6Dln7u8ffdxfl463FnCs0YI3iRJgtfrxdLSEiKRCARBwNDQEKampqoyqyiXy2Fubg5arRYzMzN7npsP+/kPuo2WHXTbbYTfYysQRRFra2sYGBiAXq+Xu5yW8uzZM2xsbGBmZgbT09Nyl9PWYrEYXC4XMpkMent7ufNcm+PRDx1pYGAAw8PDKBaLcDqdWFpaQjqdlrusthSLxfDy5UvodDpcvXqVYU+VRaNRRKNRLC0toVAoyF0OHcFutwMAXC7Xma4nnU7j6dOn+Ou//mtsbGygs7MTH3zwAT777LOa7fJTbfuXVpWXh5SVl0VpNBo4HA7kcjmkUqljXfdxfv5G/R2Vf26VSnXkcjC/318ZuNvuJEnC2toaIpHIno+/6zZ2lLN8bTUJgoCBgQF88sknuH37Nnp7e+F2u/H555/j22+/RSKRONP1u91uiKL41jbsR/38h91GD/p4+evl/j02u/LMnkgk8tbtnM7u4sWLMJlMWFhYQDAYlLuctpTJZLCysoLl5WXkcjkMDg5WjpmofbHDh46lUCjA4/EgEAgAAGZmZvjKSB0VCgV8+eWXSCaT+Pjjj088DJKOx+v1wuPxQKfTcZBzg9ve3obBYDjVq/O5XA7Ly8twOp0QRRG9vb04d+4cenp6mjJIPc4r/+VOnPJtfHJyEhaLpb6FyuBdHUhzc3MQRRGXLl2qY1WNKZlMYmFhAQMDAxgcHNzzuWbv8DlIOBzG4uIidnZ2IAgCRkdHce7cuVPNH0kkEohGoxgaGnrrc+/6+cu30fX19T3buu/+eDAYRDqdhk6na7jfY7PggOb6iMViuHv3LtRqNX7wgx9wuVwdZbNZzM3NQZIkdHd3Y2hoiL9/AsDAh04olUohFApVnijz+TxUKlVTniQ1k6dPn2JzcxOzs7OYmpqSu5yWxtCndRUKBTidTiwvL6NQKMBisWBmZgZ9fX1N/xh23KVV6XQar1+/Rl9fX1u86veu38tf/dVfIRKJ4ObNm21/Er29vY2trS1MT0/DZDK99flmnOFzHMFgEHNzcwiHw1AqlZiYmMDk5GRVB7S/6+cXRRE///nPK8HQr/zKr0ChULy17OvKlSsnfk5q5N99vTDsqa/NzU08ffoU/f39+OCDD5r++bWRSZKEQqFQebzyeDywWCxNO3ifaoNnMnQier1+T2fP2toa8vk87HZ7VdbB09tcLhc2NzfR19eHyclJuctpebu3bN/Z2TnwFVtqHIlEAtlstjLo9CCiKGJjYwOLi4vIZrPQ6/W4cuUKhoaGZDsQrdZJWPl6yieH77pOnU4HtVqNeDx+5u/d6I7TWRGJRFAsFltq2/fTisfjUCgUh54onOV308i/156eHty5cwderxfz8/NYWlrC2toapqenMTY2duTA9kgkAoVC8c7jn+P+/Psfj/bvVHfSsKdRu6vqze/3M+ypI7vdDr/fD7fbDafTiYmJCblLakmJRAIulwuSJFVmh/GYlQ7CwIdOTZIkmEwmeL1eLC8vw2KxYHh4mNsxVlE8Hsfz58/R0dGB69ev81WSOrHZbOjo6GiLJS/NTJIkrK+vI5/Pw2w2v/WKvCRJ2Nrawvz8PJLJJLRaLS5dugSHwyHrCehpTsIOCnMO2+HnXddpNpsRDAaRz+ebdpv5dznOtvEKhQKdnZ2VrbQbOZSoNVEUkUgkYDab2/J5pjzjx2azweVyYWFhAXNzc3A6nTh37hxGRkbe+r0Ui0VsbGxAEARcvHjxzIHYpUuXKku6dl/X7q3gTxIUH+c+0C76+/uh0Wi48UidCIKAK1euIBwOY25uDt3d3fzdV1Eul4Pb7UY4HIYgCOjv7z9wZ0WiMi7pojPL5XLweDwIhUIQBAF9fX18BaUKisUi7t69i1gsho8++gi9vb1yl9S2fD4ft7VsUNFoFCsrK28FHT6fD69fv0Y0GoVKpcLk5CQmJiZk/xueZveogwKi3ddT/npRFI91ncFgEOvr63A4HEd2Rp2V3EtJjhOscYZPSSwWw/LyMoaHh9Hf3y93ObIrFotYW1vD0tIS8vk8TCYTZmZmYLPZKidVbrcbOzs7Vb0fHXWfOU1Q3M4dPqIowu/38/Yso2g0irt376KjowOfffZZy77AUE/b29vwer0QRRGdnZ0YHh6GVquVuyxqcDx7oTPTaDQYGxuD1WqFy+VCPp+Xu6SW8OrVK8RiMZw/f55hj4zi8ThcLhcCgQBn+jQgi8VS6VixWq0oFAqYm5uD3++HQqHA+Pg4pqenG+aAaP8SjeNse37Qq/T7rwfAsa/TbDZjeHi4pmv8a32ieZwwaXdnxGG4FLmko6MDdrudXY3fUyqVmJycxOjoKFZWVrC6uopHjx6hu7sbFy5cgF6vh8/ng16vr2poetht9bTdOse5D7Si3TN72NkjH4vFgosXL+LFixd49uwZbty4wS6UMyoUCtBoNBylQSfCDh+qumKxCKVSWdnita+vj8PDTmhrawuPHz9Gb28vbt++zSdImXGQc2PLZDJ49eoVkslkZatdu92O8+fPN+xugifpfjkqPNl9PYddZ707bU7TxXQS7dy1QPLIZDJYXFzExsYGJElCZ2cndDodZmdn63Z8w9v98XBAc2ORJAnffvsttra2cPnyZYyNjcldUlNJpVLwer2VpeiiKEIQBJ4X0Ikw8KGaSSQSWFpagiRJ6OrqwvDwMLcHPIZUKoXPP/8cCoUCP/jBDzgTqUEw9GlMkiTB5XLh5cuXlZ23rl69is7OTrlLO5Hj7OJzmtDkqJPEYrEIAEcOpT2tWp2cniZMkntpWaMTRbGyHJCOVp6rFwwGoVQqMTs7i7GxsbqdfPG2fDSGPY0pn8/jiy++QCaTwSeffMJOwmPI5/PweDwIBoMAgMnJSf7e6NQY+FBNZbNZuN3uyk4W/f39sNlsPGA5hCRJ+OabbxAIBHDr1i309fXJXRLtUg59jEYjzp07J3c5bS8ajeLFixcIhULQaDSYmprCxMRE073yVY1w5KATwaPCkUQigcXFRdjt9po9ztTq5PQkv693XdblcgFAW2xRf5hQKIS1tTVMTEw0XVAqB0mSsLm5iYWFBWQyGVgsFly+fBnd3d1yl9b2VldXEYlEGPY0oHA4jK+++gpmsxmffPIJzwMOIUkSdnZ24PV6USwWYTKZYLfbodPp5C6NmhhfzqGa0mq1mJiYQCwWg9vtxvb2dmU3DHrb+vo6AoEAHA4Hw54GVB7YaTAY5C6lreXzeczPz2NtbQ0AMDY2hpmZmaYcCFmNnXQOCzWOmhek0+kgCAJisVjNHmtqdUB/3Lkkx/ndxmKxmtTYTMq/Az6uHY8gCBgdHcXQ0BCWlpawsrKCr776CiMjI5idna3rvDB2/Ow1ODgInU6HwcFBuUuhfbq6ujA1NYWlpSUsLS3h/PnzcpfUkAKBADweD7RaLRwOB0N4qgoGPlQXZrMZMzMzCAQClVfBisUiMpkMDzK/l0wmMTc3V5kLQI1p944fmUwGKpWKSyHqpLx86/Xr18hms+ju7sbly5f3tDnHYjFsbm5ienq6aZaQ9vT0wO/3n2pr8HeFGoeFI0qlEgaDAfF4vCm3cz3O7+mkA7LbVSwWQ0dHR1MGpvVUKBSwuLiIwcFBdHV1QaVSYXZ2Fna7HS9fvsTm5ia2t7dx/vz5yryNWuJMnxJRFJHNZqHT6Spv1JjOnTsHr9eLpaUlDAwMcInS99LpNFQqFdRqdWWTlt7e3qZ7XqbGxaMfqhtBEGC1WivzIra3t7GwsID19fW239lLkiQ8e/YMxWIR165d44F3EygUCpVXqgqFgtzltLxIJIKvvvoKT58+hSRJuHbtGj7++OO3DhgFQagsJW106+vr+O67745VqyiKB368HGqoVKpDQ43DTjzNZjNEUUQymTxZ4U3E4XDg2rVrsp0QH/Z3axSZTAb5fJ67vRzD1tYWMpnMWx83mUy4desW3n//fahUKrx8+RJffvllZfZGLewPevffzhr9dlct5Zk9i4uLyOVycpdD76BQKHDt2jUAwJMnT9rmdnqYQqEAl8uF+fl5eDweAG/OlRj2UDXxZWmSTU9PD9LpNILBIMLhMAYGBtDf39+WD3Jra2uVpVxWq1XucugYVCoV+vr64PF4sLS0xEHONXLS5VsmkwmdnZ0Ih8OIx+MwmUz1LPfYRFHEy5cvEQgEEIlEcPPmzUOXHb3rlfzTbr1sNpuxtbWFWCzW0jspytXZs76+Dr/fD6vV2rAdGOXlXAx8jpZOp+H3+2E0Gg/c4lsQBAwODqKvr6+yzOvevXuw2+24cOFC1Zd5HdW91i6dP/sHNDdLR2e76+zsbPulXZIkIRAIYGtrC4VCAQaDgcf+VFM8OyHZ6HQ6TE1NIRKJwO12w+PxIBAIYGpqqq5r4OWWTCbx+vVrLuVqQjabDQAY+tSIz+fD06dPkclkDly+dZjh4WFEo1G4XC7MzMw0dIgsCAJyuRxWV1cxPj5+4ODl48z4OU2oodfroVQq+cp4DZQDvVAohO7u7lMFcvWQy+WgUChaOvCrhuMO996/zMvlcmFnZwdXrlyp+lyZg4LeaswEawbcjau5tfPSrnw+j+XlZaTTaajVaoyNjXHgO9Ucz0xIdp2dnbBYLPD5fAiHw231Ko0kSXj69CmXcjWx/aHPuXPnarLNdTvJ5/OYm5vDxsYGlEolrly5gtHR0WMHN1qtFv39/fB6vQgEAg35yplCocClS5ews7ODnp4e9Pb2QqPRvDWEtZZzaARBwOXLl1vyhPC4aj0cv9E3Qh0eHsbg4GBb3wbeJRKJIB6Po7e3F3q9/lhfU17m5fF48OLFCzx+/BiDg4O4fPlyVV/Q2v93O+zx4rDhzs049JlhT/MrL+26e/cunjx5gk8//bTpboenpVaroVKpMDAwwF2LqW64LTs1rLW1NSiVSgwODrZs14TT6cTLly/hcDhw5coVucuhM/B6vUilUhgbG2vojpJG5/P58OzZM6TTaVitVly9evXYJ1m7FYtFLCwsoK+vT7bA5zgnU6IoYnNz851LMJrxxKzdNcOSLnq3UCiEra0tnD9//lTHIplMBi9evMD29jY0Gk1Nun3Kyo8Tux8vDlvi1cxLvzY3N6FQKBj2NLmFhQUsLi7i3LlzLbu0q1gswuv1Ip1OY3JyUu5yqE0x8KGGtPsVnHLo02pDzJLJJD7//HNotVr84Ac/aNlQq10Vi0V2+pzA/q6eixcvnqir5yBy7D5VPtE66cnUQYFOPUIeSZLg8/mgUCgashOq2TVyUBcKhZDL5dDX1/dWSEB7nfWxRJKkSrdPPp/H0NAQLl26VNVun4Mec0RRxNOnT1EoFKBSqXDt2rXK3/qgjzcyURQhCEJLHQe2O1EU8eWXXyIej+OTTz5puS3Ig8EgPB4P8vk89Ho9pqeneVxIsmjsR3dqWwqFAufOncPY2BiUSmVlK+bygMlmt38pF8Oe1uJyubC4uMjdu47J5/Ph888/x8bGBnp7e/HDH/4QDofjzAf25a/P5/N1mVOzvr6Op0+fwul0HrmDzkEOGtT89OlTrK+v16jaEkEQ4PP54PP5avp9GtXKygpWVlbOfD1H7aLWqPx+P7xeLwRBqNvtrZnsftyoxmPR8PAwfvjDH8Jms8Hj8eDzzz/H1tZWNUo9dNeuw3bxO87ufo2k/CLgxsZGwy+TpONTKBS4fv06AODp06cts2tXIpHA/Pw81tfXIUkSRkdHcf78eYY9JJvGfoSnttfd3Y0LFy5gYGAAuVwOXq9X7pKqonxCODY2ht7eXrnLoSpTq9VIp9Pcsv0d8vk8nj17hvv37yOXy+Hy5cu4ffv2qZZwHaZQKGBu7v9n789iG0n39E74ieC+k+IqcRG1ptbMyqUyK2s9rtPdHttt+MY2+toY39lX/m4aaGAupjHoAQbfxec2xjcDGBg3xjAwHhiGl0EvdWo5WZWVmZWplJjaJUrc931nRHwX6YhDKbWLZATJ9wccnEqJYrwkgxHv+7z///MEcHx83LXnPIvOBVcul4PFYrnxYuqyyOVuYzQaUa/XR9K8udFooNFo3Oo5BlEsYRgGlUoFer0eHMcJ51sqlRJt0SW1xV4kEkEgELj1+dGJWq3G48eP8fDhQ7AsixcvXuDly5e3/u5dJOD4/X7cv3//g0rD834OSOuz6Kz4lsvlpMJnyDCZTJifn0exWMT29rbYw+kKyWQStVoNTqcTKysrsNls5LwliAopKyBIHpqmMTExAZvNdmJnJ5VKYWxsbOAUc17512q1JJVrSCHpXZfT6dVjs9lw//79rgo9PHK5HCaTCdlsFoVCoSdpIHwrTKdZqt/vv3GLzG2Nmq97XIPBgHQ6jWKxSAToazKoqUjlchkcx8FoNArn2/r6OoD3/ij99nSRmp9MpVJBJpOB0WjsemooX+1js9mwtrYmJJTevXv3Vt4+Z6V28Zx3Tp71cyl9FsSgeTSYn59HLBbD7u4uxsfHB661i2VZISCC/35PTExArVaLPTQCAQCp8CEMEEqlUph4FQoFHB8fIxAIIJ1Oizyyq8NxHN68eUNauUYAl8sFt9tNKn1OwTAM1tbWelrVcxqPxwOaphEOh7veDtBZ3XF6x/w2C/+Ldt+vOp6rYjQaAQClUulaxyIMXmsMD98ezX/2Pp8PLpcLDoejL1VlnfS7ou0qhEIhUBR1aQz7beCrfR48eCBU+7x69QqtVuvGz3nb8+/0ZyHmfYuIPaPDILd25XI5BAIBhEIhZLNZAO/XK0TsIUiJwZiZEAinMBqNmJycBMdxODo6wubmJsrlstjDuhTSyjVa8KJPs9kcyXaZ05RKJXz77bcIBoOw2Wz4W3/rb/Ul1UyhUMDlcqFer1/oVXPdSeZZC9VuLvj71Qoml8uh1Wq75pE2SJP1bnBTcU5MisUiFAqFsCjhTbvFEK6kJpplMhlUKhXY7faeL9p4UYn39gmHw/jNb36DXC7X0+OeR+dnUavVsLa2JlqrYrPZRL1eJ2LPiDBorV3VahXb29s4ODgAwzDwer0YGxsTe1gEwpmQlC7CQMMwDGKxGJLJJDiOg8/nk2zSTLlcxm9+8xuSyjWCtFotKBQKsYchKsfHx3j79i0YhsHi4iLm5uZ6JvScl3gVCATAMAxWVlY++P7dtI3hOn/XjxSkm74OXiC6rdeAlNpBrkIgEAAALC8vizyS/pJOp8Fx3Af3SzGTusRKqjt9vI2NDXAch5WVlb62jHMch8PDQwQCAXAch+XlZUxPT4vi/dFut7G2tnZhilc/Phty7xwtWJbFd999h2KxKOnUrlwuh4ODAwCA3W7HxMQEmdMTJA0RfAhDQaPRQCQSgdfrhUKhAMdx4DhO9J1CHo7j8MMPPyCbzeKzzz4j1T0jSr1eRygUwtTU1MhMDviFQzgchlqtxqNHj2C1Wnt2vIsEh0KhAIZhPtiFu21E8VUWPv0UQsRatA9i1PPp1iaCdBBLPMzn82BZVrTd+nw+j5cvX6JSqcDlcuH+/ftQKpV9H8d57z/Lsjg+Pu7JZ8OyLA4ODjA+Pg6dTte15yUMDoVCAd9++y30ej2++uoryfh0dq4rGIbB0dERxsfHodFoxB4agXAp0p6JEQhXRKVSYXp6WtgJSiaTCAQCopVFn+bg4ADZbJa0co04xWIRxWJxZDx9CoUCfvOb3yAcDsPpdOJXv/pVT8Wey1qaTCbTmYu481pKrtqadJmo0W+PktuILAzD3Oq4UmrNuQpGo3HgxZ7rnk+3+Yz7hZi+PmazWdTWDLPZjK+++goejwfxeBy/+c1vBG+QfnJWq2IwGMSrV6+wvr7e9c+G9+wpFAooFApdeU7C4GEymXDnzh2USiXJtHYVCgUEAgHEYjEAgEwmw/T0NBF7CAOD9GdjBMINkMlkYBgGBwcH2N7eRrVaFW0s1WqVpHIRAAAOh2MkjJz51oTvvvsO1WoVy8vLePLkSdfTbk5zVcGhXq8jEomc+Nnpxc1to7Y7F0E0TX8Q0y5Fn5ujoyO8ffv2VmMbRD+bQeYm5+nGxgb29/d7N6guIIZ4GIvFrj1X6NX3WKFQ4MGDB/joo4/QbDbxww8/YHd3t+um852c9Vo6r1W8CMf/m/+MuvHZnDZovk1aGWHwmZubg8lkwt7eXte85W5CvV7H7u4u9vb20Gq1RqYymzB8kJYuwtDSbrcRjUaRSqUAADabDR6Pp+/loT///DNisRiePn0Kh8PR12MTpEk8HkckEoFGoxm6yPZWq4U3b94gGo1Cq9Xi0aNHsFgsfR3DZS1Nx8fHSKVSmJ6ePnNsN2lN6jzm6VYI/t8WiwXT09OS9bnhz8v5+XkYDAaxh9MXBtnD5ybnaa1Ww7t37wbGCLdf7YmlUgk7OzvCd/Qq9Ot7XCwW8fLlS5RKJTgcDjx48KDr4vl5r+W8a5nVaj03Av66kDQuwlnkcjl89913sFqt+Oyzz/rqZcWyLCKRCFKpFDiOg9VqhdvtJn5ShIGFVPgQhha5XA6fz4elpSUYDAYUCoW+mx8mk0nEYjGMj48TsYcg0BnZflFq1KCRy+Xwm9/8BtFoFBMTE/jVr37Vd7EHuLylaWJiAjKZDOFw+Nxd7etUF3RWWZwVa8z/fy6X++DnUqr04VubxNxRJVydm1TBDJpnUT/EHo7jhBh2t9t9pb/pZ8uZ0WjEl19+CZ/Ph2QyiW+++UbYyOoG572Ws37eWcHXrc8mnU4TsYfwARaLBZOTk8hkMh9U5PYaiqJQLBah1WqxsLAAv99PxB7CQEMEH8LQw1dRLCwsCBOURCLR8x5xhmHw9u1byGQyrKys9PRYhMHD5XJhZmYG4+PjYg/l1nAch/39fXz//feo1+u4e/cuHj16JNkJklwux/j4OJrNJhKJxJmPuWpr0ulFEYATi/DOxfh5P5cKGo0GcrmcCD4DxHVb6IrFIiiKgl6v7+3ABoh0Oo1arQan03nlypl+t5zxFVwPHz5Eu93Gs2fPsLW11ZUWr/Ney0U/5+mG0OVwODAzM0PEHsIHLC0tQaFQYGNjA61Wq6fHKpVKgkcPRVHCuoGYhxOGgeHpIyAQLoFPueCj3BmGgdFohNfrhVqt7vrx9vf3UalUsLi4CK1W2/XnJww+nZGjiURCmFwPEgzD4M2bNwiHw9DpdPj4449hMpnEHtalOBwOpNNpxONx2Gy2M8Wpqyzi+EUR3+ZA0zT8fv+F7Q6X/V4sKIqCwWAQKpEG7VwcVa56HnEch3K5DL1eL1qKm9TOeYZhEI1GoVAori2+d36P+/XaPB4PzGYzXr58ie3tbeTzeTx8+PDW4vp516SLrlW3aWljWRbJZBJOpxMURUk2fpsgLkqlEktLS1hbW8P29nZPNk8bjQbC4TDy+TxomhbmA1LdsCIQboK07rwEQh+QyWRYXl6G1WpFsVjEu3fvEAqFumqgy5vy6nQ6zMzMdO15CcNJsVhEOBweOCPnWq2GH374AeFwGC6XC1999dVAiD3Ae3HD4/GAZdlbpfmdbnPg6Uz64tshThueShGj0QiKolCr1cQeCqHL1Ot1AOK0c93WBL1XFAoFtNttuN3uG30naZru+2vT6/X44osv4PV6kUgk8N1336FcLt/6ec97/Wf9vLOyMZVKXavSh/fsiUQikklSJUiXyclJmM1mHBwcdLX6lPfpCQQCyOfzsFgsQkURgTBsSHPGSSD0GIVCAb/fj4WFBWi1WiSTSRwcHHTt+Tc2NsAwDFZXV/tuEk0YPIxG48Cld2WzWXz77bfI5/OYn5/H48ePbz1R6refjclkwuLi4o39tToXehctlqTawnUWY2Nj+Oijj0bGtHmU0Gg0uHfvHux2e1+PK2bE+mWMjY1haWkJVqv1Rn8v1muTyWS4f/8+lpeXUS6X8d1333XV1+cy+OtaMplEPB7H8fHxid+f9z6cNmgeGxvrx3AJAwxFUbh79y44jsP6+nrXkuqCwSDi8TjUajXm5+cxPT3d8yRRAkEsSEoXgYD3i1elUin4GtRqNWg0mhs9VzKZxI8//ojx8XE8fvy4m8MkDDmDkt4VCoXw5s0bUBSF+/fvX8no9LKWh14k3lynzYLjuCubuvOLmYsSkk4fW4rtLIT35fwAyES/x0gxme463/mLEPu1JRIJvHz5EgzDYGVlBVNTU30JqGBZFq9evQLLsieugee9HySNi3Ab3rx5g6OjIzx8+PDG507n3L5araJSqcBms/U90IVA6DdE8CEQTsHHs5rNZng8nmstBFiWxTfffINarYavv/6aePcQrg0v+hgMBszPz4s9nBNwHId3795hb28ParUaT548uZL3wmULopvES9/2mJ3U63UcHBzA6XReutN/cHCAXC4Hi8UCmqavFGU8aDQaDWSzWVitVsH7bNgZdkGOYRgkEglYLJYbb2bcFim9x4VCAaFQCNPT0125T4v92kqlEp4/f45KpYLJyUncvXu3L+M5fa276FrOXzuJ2EO4CY1GA3/9138NmUyGr7/++loVxa1WC+FwGNlsFjMzM8QzijBySHP7mEAQEZVKBYvFglwuh0KhAKfTCZfLdaXWrP39fZTLZaFVjEC4Li6XS5IpOq1WCy9fvkQymYTFYsHjx4+vZHZ+uuXhLAPQs4yPb8NVjtmJQqFAq9VCJBKB2Ww+97t+cHCAZ8+eoVqtQqvV4tNPPz2zsuc6x5Yi1WoV0WgUcrm87+0//abRaCAYDKJcLg+sQHcV+AQahUJxY8HntqKGVL4HHMchHA6j1Wp1za9D7NdmMBjw5Zdf4uXLlzg6OkKpVMLjx497Xrl22tS581rOi+I8ExMT0Gg0Q5FMSeg/KpVKMHDe2dnB8vLypX/DsiwSiQTi8ThYloXRaOxJSAuBIHWkcfclECSEUqnE9PQ05ufnoVarEY/HEQgELjWLq9Vq2N7ehk6nw+zsbJ9GSxhGnE6nEAVar9dF9/ThPSKSySS8Xi8+++yzK0+aruphc9146W4ck0cmk2FiYgKtVgvxePzMx/Dmzmq1GolEAmq1+kzD0UHz7DkL3r+nVCqJPJLes7Ozg7W1NUn6y3QT/v51U8NmqZou34RkMol6vQ6XyzVUBq1KpRKffPIJZmZmBI+1QqHQ8+OelezFb5rt7e2hWq0CANRqNRF7CLdicnISJpMJ+/v7l87JK5UKAoEAotEolEolZmdnMTc3RwQfwkgyeDNRAqFPGAwGLC4uYnJyEgAubW0gRs2EbtNut7G9vS2qkXMymRRSYFZWVnD//v1rn99XFXO6KY5cV0Cy2WzQaDRIJBKCr0vn4p+madRqNdTrdZjNZtTrddRqtTPH3E3xSgzkcjl0Oh2KxWLXDDKlCk3TMJvNAy3QXYVisQilUnmjio/bJDJJjXa7jVgsBqVSCafTeeZjBvn10TSNlZUVfPTRR2g0Gvj+++8RjUb7OgZeHA8Gg/gP/+E/4K/+6q/QaDQG+n0lSAOKonDv3r0rGTgrFApwHAePx4OlpaWBSRAlEHrBcM5sCIQuQVEUbDYbVldXhV2BbDaLw8NDNJtN4XHJZBLRaBQul+vcSSSBcF3kcjmcTqdo6V37+/v48ccfAQBPnz7FzMzMjc0NxVhIX+eYFEXB6/UK7R6nKxpYloVGo8HU1BQsFgumpqag0WjOXcQMunBgMBjAMIywOz/MuN3ugRboLqPZbKLRaNy4uueyRKZBIhKJgGEYeDyeM7+jw1LJNDk5ic8++wxyuRwvXrzA1tZW38RbmqaFKox8Po/9/X08f/78g+spEYAIN8FisWBychLpdBqRSET4ebvdxvHxMZLJJID3m7Srq6twOp3ElJkw8gz2jJRA6BOdN4tSqYRsNotAIIBYLIZ2u4319XXIZDKsrq6KOErCMOJyufoe2c5xHAKBADY2NqDX6/Hll1/eOLr8uvRrEXDWcQwGA8bGxiCXy5FOp0+0+fCLXrVaDb/fD7VaPdQVIbw4MAptXcDgC3QXcdt2LgDw+XxwuVxwOBwD3fqmUChgNBphsVg++J2U4+NvwtjYGL766iuYTCZsb2/jzZs3fXlNLMuCYRjMzc1BLpej1Wrh1atXaDabyGQyODg4wH/+z/8Z/+k//aeBF9YI4rC4uAiFQoFAIIBWq4VkMomNjQ2kUqkT9ywi9BAI7yGmzQTCNZmcnITZbEY4HEY0GsXe3h4xaib0FJfLBeD97vTOzg7u3LnTs7ZBlmXx5s0bhEIhjI2N4cmTJ31LaupXutVFx5mamgLwXvQ6bSLdaVAqdipPr9Hr9bBareSaNgSo1WrYbDbBm+km0DQNu93eNWN1nlqrhlg5hnH9ODSK3qeHTUxMnPu7bpvHSwGNRoPPP/8cL168wPHxMZrNJh49etTT+wcfvf7w4UPQNI1cLiekdlksFmQyGWxvb6NcLgPAQBrbE8RFpVJhcXERb9++xbNnz6DX66FUKjE5OXmmmEsgjDpE8CEQboDJZILRaEQoFMKbN28gl8uHth2AIA140ader/dsctxut/Hy5UskEgk4nU48evQIcnl/bhP9Sre66nE8Hg+sVusHi+TONJphhqIock0bEvR6fVdS/04nMt0GhmXwJ3/zJ/jzF3+OcrMMvVKPf/bxP8Offv2nkNHdFyOq1SpUKtWlQkc3X6NUkMvlePLkCV6/fo1wOIxnz571TMinaRo6nQ46nQ4ejwcsyyKVSsFut594X/kkymF6nwn9xefzYWtrC/l8Hl6vF36/n5xPBMI5EMGHQLghFEUhkUiA4zgsLS0JZpjFYhFarbZvC2XC6MCLPjwMw3Rtp7bZbOKnn35CLpeDz+fDvXv3+jp56tfu+kXH4at2gsEgXr16BY1Gg9/7vd/rW4WTVOE4bmhL468S7TvIdPuz69b38k/+5k/wZ7/9M+Hf5WYZf/bbPwNFUfhffv2/dOUYPCzLYn9/HxRFYXl5+dL3YxgXjTRN48GDB1CpVNjf38cPP/yAp0+fQqPpTlUVy7KgKAoURcHj8Qg/P0tAo2laSDJdXV0dyveb0BsYhkG5XIbJZBJsFF69eoVYLCZU5xIIhA+huGGP4CAQekQqlcKzZ8/gcrnw5MkTABD8fCiKwvj4OBwOx9AulAjicnx8jHK5jPn5+VuLi9VqFT/++CPK5TLm5uawuLh47fO2Wy1OvWyV6nzu08fh27z4OOFsNouNjQ3Mzs5idXV1JKtdWq0Wtra2YLFYTiziCINDPB5HMpnE3Nxc1xb3t6XWqsHxvzlQbpY/+J1eqUfy/5PsantXLBZDNBqF1+vtmxeZlNnb20MgEIBGo8HTp09v1eoH/K6NS6FQYGpq6sJ7B8uyeP36NdrtNmiaFtq+CISL4FusedP15eVlYZP1zZs3ODo6wqNHj+B2u0UeKYEgTchVlkC4ARzHYWNjAzRNnzBq5lu7ZDIZwuEw3r17h0KhIOJICcOKUqm81Mj5KgadxWIR33//vRC7vrS0dG2xp5vJNt2c/He+/tNjPF3Zw7d55XI5WCwWmM1mqNVqZLNZRKPRgTdwvQkKhQIsywqmv8NIsVgc+tfHMMyN4th7RawcO1PsAd5X+sTKsa4dq9lsIh6PQ61Ww263d+15B5nZ2Vncv38f9Xod33//PbLZ7I2fq9OzR6lUXql6ymq1Qi6Xw263n3m956+1o3jNJXxIqVTC5uYmjo6OQFEUJicnT1zPOg2cGYYRcaQEgnQhgg+BcAMikQiKxSKmp6c/MDW1WCxYXl7GxMQEms0m9vb2cHR0JNJICcPKZeldVxFhMpkMfvjhBzQaDTx8+BAzMzPXHodUk206Xz/vI3HeGPlFCP//09PTePjwIb766ivIZDI0Go2R3YU2Go2o1WpotVpiD6UnhEIhhEIhsYfRE1iWRblclpxXyrh+HHrl2Z5CeqUe4/rxrh0rEomAZVl4vV5SbduBz+fDkydPwLIsnj17hkQice3n6BR7nE7nlasA/X4/7t+/f2bVJH/d/uGHH7q2iUAYXPiginq9DpfLheXlZVit1hOPUalUmJubQ61WI+cLgXAO0pkBEAgDAsuy2NzchEKhwNzc3JmPoWka4+PjWFlZwdjY2ImSadJFSegW54k+VxFhYrEYnj17BpZl8cknn9y4Zadzx1YqyTanX38wGBRaW/gxnvWedP6MpmksLS3h008/hdFoHOoqkIsYtXj2YaJcLoPjuFvFsfcCjUKDf/bxPzvzd//88T+/cjvXZeJytVpFNpsVQhYIJ3E6nfj0009B0zSeP3+O4+PjK//tTcUenvMqezKZDJrNJoLBoBDjLpVNBEJ/6JwjGwwGmM1mLC8vw+12n+tZOD09DbVajZ2dnaHdnCAQbgNxlSUQrkkwGES1WsXi4uKlZq58TztPrVbD7u4uxsfHYbPZyI4j4dbwRs7xeBytVgtyufxSA+SjoyO8efMGSqUSn3zyya1jTKWWbNP5+nlPHofDAZqm4fP5PohlrzQq+MuXfwmUAFfSdeK1eL1e6HS6W/tcDCr86y4WixgbGxN5NITrwIuUUjx3//TrPwVFUfiXP/9LIaXrnz/+5/if/9b/fKW/P/0dPguNRgOfzyfJ1y8VxsbG8MUXX+DHH3/E69ev0Wg0zt3I6qTVaqHRaNxI7DmPzuu23++HUqmUzCYCoT9ks1lEIhFMTU1Br9fDaDReSayVyWRYWFjAmzdvsL+/j4WFhT6MlkAYHIhpM4FwDdrtNv7qr/4KFEXh17/+9bXNcovFIoLBIFqtFjQaDbxeL5mMErpCq9WCQqE48bOzDJD39/exsbEBrVaLp0+fdiWuuZdGy7c5Dv/4g4MD5HI5WK1W+Hw+wTSUklH4D7n/gH/18l+h3CxDRanwh44/xP/1P/5fUMgVlx9gRAgEAgCGM9FqmF/b9vY26vU67t27J/ZQzqXWqiFWjmFcP36tyh7+OyyXy3H//n0iCtySWq2GH3/8EaVSCfPz81hYWLh0Q+qse85t4K/Xp/+fMPxUKhWEQiFUKhXI5XL4fL5rb0SxLItvvvkGtVoNv/d7vwe1Wt2j0RIIgwe5khII12B/fx+NRgN37ty5UTKS0WjE8vIyXC4X6vU6dnZ2cHBwgGaz2YPREkYJfuLd2d51erK8t7eHjY0N6PV6fP75510Re7pp2NyL4wSDQcGI2e/3n2hB+zdH/wb/67P/VTCQbXAN/N+J/xv/07f/0wfP02q1cHR01NVy8UFpVZidncXS0pLYwyBcE37hLmU0Cg2mLdMnxJ7LvheXtZEyDIOjoyM0Go2ejHkY0Wg0+Pzzz2E2m7Gzs4PNzc0P2s9ZlsXe3h7K5ffXy26KPZ3Xd/7zJGLP8NNqtRAMBrG1tYVqtQqHw4Hl5eUbVR3TNI3FxUUwDIOdnZ0ejJZAGFzI1ZRAuCKNRgO7u7vQ6XTw+Xw3fh6ZTAa3243l5WWYzWbkcjki+BC6RrFYRKlU+sDIeXd3F4FAAAaDAZ999llXIpp7Ydh8nrfOdY8TDAbx6tUrrK+vC+lb/N/5/X4srCzg/9z5P8/823/5879ErVU78bNKpYJ0Oo1oNHqDV3X2+AbFlFSlUg1t+6lKpZJUglU3oShq4F7bVb8XFxn/xuNxpNNp4jt1TZRKJT799FNYLBbs7u7i3bt3gujDe/YUCoWuJ49K1fif0Hv4z9xoNGJpaQler/dGm6k84+PjsFgsCAaDqFQqXRwpgTDYEMGHQLgiOzs7YBgGi4uLXdl5UqlUmJmZwdLSklBpUS6XbxWRSiA4nc4PjJy3t7fx7t07GI1GfPbZZ10rde62YfN5i73rHodfQHQuHE4neySqiWtFQ5vNZhgMBqTTaVSr1Wu8qvPHN0gLnFKphEwmI/Ywus7s7CxmZ2fFHkbXyWazXV+Y95rrfi/Oug40Gg0kEgloNJoPvvOEy1EoFHj69CnGxsawt7cnRF13GjS73e6uHlOKxv+E3pHP54Vrk0ajwdLSEubm5royL6EoCktLS+A4DltbW7d+PgJhWCCmzQTCFahWqwgGgzCbzZiYmOjqc3dWWkSjUZRKJSSTScEslkC4LryRcyQSwY8//igk1Tx9+rTrO/7dMmw+vdg7/ZyXHafT7+G0aTNN0wiHwydMXvlo6LNEn/Oiob1eL969e4dQKIQ7d+7c+LVeZqotRaLRKGq1GsbGxoa22meYiEQioCgKJpNJ7KFcmW58L8LhMDiOIzHst0ChUOCTTz7B8+fPsb+/j2w2C61WC5fL1TWD5tNIzfif0H1qtRpCoRBKpRI0Go1wbepGtXEnNpsNDocD4XAYs7OzA3UNJBB6BbmyEghXYHNzEyzLYmlpqaeTyOnpaTgcDlSrVWxtbQkGzwTCdXG5XOA4Tpisf/rppz1r7+jGJP0qu7znHeesyiC/34979+5Bo9Gg3W5/EPN7k2hojUYDu92OcrmMXC53sxfaMb7zWlKkiMFgAMMwt65ukhqpVAqpVErsYXSVRqOBZrM5kFHkt/leFItF5PN5WCyWoQlDEKv6jxd9jEYjcrkcWq1W1yt7TnPT+8ggVEiOMu12G8fHx3j37h1KpRJsNtuVkuBuw+LiIgDg3bt3PT0OgTAoEMGHQLiEQqGAcDgMu90Ou93e02PJ5XJ4vV4sLS3BaDQik8kIJdUEwnXY2dlBJBKBXq/HV199BaVSKfaQLuUmi72L2kB48UipVJ4Z8/unX/8p/vjzP4Ze+b6lUq/U448//+MLo6EnJiYgk8mQz+dv9Bo7GaTdbF484KO+h4VkMolkMin2MLoK/xkNouAD3Px7USgUQNN0z6pQ+o3YPl9yuRxffPEFzGYzkskkAoHAB0bOYiP2e0S4GI7jsLm5iVQqBb1ej8XFRUxOTnbV8PsszGYz3G43kskk0ul0T49FIAwCJJadQLiEn376CYlEAl999RXMZnNfj10oFFCv1+F0OgEAzWZzIBbuBHHhDTd5zx7+nInH47DZbLcyRZQaLMvi+PgYqVQKdrv9TLGIb/fiY5xPc91o6EajMXBmuLeF4zi8efMGWq32Vu1sUmMYY9n39/eRz+fx0UcfQSaTiT2cvjIs300xo+dZlkUikYDL5QJFUWi32/jpp5+QyWSExD4ptMuJ+R4RLqZzrppKpSCTyTA2NtbXMVQqFfz1X/81zGYzvvjiC0mcswSCWJArI4FwAZlMBolEAm63u+9iDwCYTCZB7GEYBltbW9jZ2UGtVrvkLwmjyv7+viD2fPrpp8Kkq1AoIBKJfJDeNcjwSVzhcPjcx/BiTzAYxNra2pk7wWdFQ19E54JyVNoJKIqCwWBApVIhFYcShuM4lEol6HS6kRF7Or+DwyD2AOIZGfNpXNFoVAiQkMvlePLkiWDkfFZkuxgQs2fp0Wg0sLe3h3fv3gnzDLvd3nexBwB0Oh38fj9yuRxisdjlf0AgDDHk6kggnAPHcQgEAqAoCgsLC2IPB8B7AahUKuHdu3c4Pj4emoU7oTscHBxgY2MDBoPhA88ek8n0QXrXIMOyLNbX17G+vo4XL16c2dLFl/sfHBz0JD5+d3cXR0dHt36uQWFsbAw2m21kRK5BhGVZ2Gy2kUqoikQi2NraGvhr2mn67fPFX9P4NK7Oc4j39OEj26WSgDRoXmjDCsMwCIfDCAQCKBQKMJlMkhAF5+fnIZPJBB9OAmFUIYIPgXAO8XgcuVwOk5OTQmy6mMhkMkxOTmJxcRF6vR6pVAobGxukP5kAADg+Psb6+jr0ev25Bs0ul0uyos91JmOdj5XJZDAYDCd2eVmWPeHtk8vlYLFYuroTTNM0KIpCNptFuXx2vPuwMTY2Bp/P13P/BcLNkclk8Hg8Pfebkwq1Wk0w3R6mVtV+c1rsOcsHiY9sN5vN2NnZwd7enggj/RD+ek4W9OKQy+WwsbGBRCIBjUaDO3fuYGpqShL3CbVajZmZGZTLZYRCIbGHQyCIBrk7EghnwBvNyWQyyflV8B4auVwO4XCYtFcQkEgk8ObNG2g0Gnz66adQq9XnPrYzsv3g4ADz8/P9Gua5BIPBE5HpV33s6uqq4N3DR/p2/r4z4tnv95+Ibu8GHo8HxWIRoVBISAUhDBaDamxMeE9nDPuwcZ3rYjeOdZHYw8OLPt9//z0CgQBUKpUk3vt+vleEk/BC2+TkJKxWq+S8cmZnZxEMBrG1tQWPxzMyra4EQiekwodAOINQKIRSqYTp6ekLF89iYrFYsLy8DIfDAQBotVo4ODhAvV4XeWSEfpLNZvHixQvI5XI8ffoUGs3lPjQulwsej0cSaTYXpWxd9lifzyeU8/OVPef9Huh+KpZarYbD4UC1Wh2ZSrtUKoW1tTW0Wi2xh9IVvF6vJBas3YBlWaytrY2MX0WhUECxWITVaoVOpxN7OGdy06qT61wXu4Hb7cbExMSV7glKpVLwh3v9+rXoKXf9fq9GnWazicPDQ2GuabVasbKyApvNJjmxB3gvUs7Pz6Ner+Pw8FDs4RAIokAEHwLhFLw5skKhwNzcnNjDuRC+rQQA8vk8crkc3r17Ryp/RoRSqYSffvoJAPDJJ5/AYDBc+W+dTie0Wi2A920RYrV3XcV4k5/An37s8fHxCSPms56r10ae4+PjkMvliEQiI/Gdk8lkaLfbQxfPPgyUSiW02+2R2MHmOA6hUAg0TcPtdos9nDO5TWR4PwyJWZZFpVIB8N7senx8/Mp/m0gkoNVqkclk8PPPPyOXy3V9fFeFmDf3B5ZlEY1GEQgEkM1mT3zmUr/m+P1+aDQa7OzsDM1mBYFwHUgsO4Fwiv39fWxsbGB5eRmzs7NiD+da8H3K1WoVcrkcbrdbkiW2hNtTq9Xw/fffo16v48mTJ0Ka23Vpt9sIBALCLphYPhjntVudVarPC0B8JC9N03j48OEJL4d+TvrT6TSKxSJ8Pt/Q+4i0Wi28ffsWY2NjmJqaEns4t4b3dRiGKp9wOIxEIoGlpaUrVfoNMrxJrEqlEtpUpUS3IsN7dS3jPXuq1SqWlpaulW7W+doqlQrK5TIUCgW++OILUf0O+33dHyWy2SwikQiazSbUajW8Xu/AtcMeHx/j9evXmJ+fJy3YhJGDXBkJhA5YlsXe3h5UKtVALmb0ej0WFxfh9/tBURSOjo7ITvwQ0mw28eOPP6JWq+Gjjz66sdgDvDc6dTqdohs5n1fZc1apPl+5Y7VakUwmEY/HcXx8fOFz9RKbzYbp6emhF3uA9+XxGo0GpVJJ7KF0hWKxODTXyGKxKHw+ww4fYiBFsQfoXtVJL8WecrkMu91+7Sj7ztc2PT2Nx48fo9Vq4dmzZ6jVal0f73XGdRrS3nV7KpUKDg8PwTAMvF4vlpaWBk7sAd6L+jqdDoeHh6TKhzByEMGHQOggFAqhXq9jenpa8iWqF2G1WrG8vAyfzweTyQQAaDQaaDabIo+McFsYhsHz589RKpWEz/i2SDW967JFk8/ng8vlgsPhOCEIiTXJ5zgOhUJBlGP3E6PRiFarJerijnAS/vO4TlvnoFIoFCQR+XwZUowMv0oa11XofG0ulwv37t1DrVbDTz/9JJnF9G1a6kadzuu7TqfD5OQkVlZW4HA4BrZinKIozM3NodVqkXOCMHIQwYdA+O9wHIe9vT3I5fKBrO45jUwmOxHNe3R0hEAggGg0Sna9BhSWZfHy5Utks1nMzMx0teXwtOgjFT+aixZNNE3DbrefEITEnORHIhHs7e0NTcXIefCiwrBU+QwD5XIZwPCnjlWrVezt7eHo6EjsoVwJKbUYcRzXFbGHp/O1TU5OYnFxEcViEc+fPxf9/kGMnG8Gx3FIJBIIBAI4PDwUhFWbzTYUFaxerxdqtRr7+/uin6MEQj+Rzp2IQBCZWCyGcrmMqakpKBQKsYfTdVwuF5RKJWKxmGC6RxgcOI7D2toa4vE4PB4PlpeXu34MXvTR6XSSqnC7aNHUKQiJPcl3OBygaRqhUGggKhBuisFgwNLSkpAQSBAfPrXRbDaLPZSewnsu3aaNdVShKAp6vb4rYs9ZzM3NYXp6GplMBq9evRL1Gni6OpRwOYVCAYFAAOFwGHK5HBMTEwNbzXMeNE1jdnYWjUZDuJYQCKMAEXwIBLxfTO/s7ICmaczMzIg9nJ5gNBqxtLQEr9cLhmFweHiI7e1tsvM1IGxtbeH4+BgOhwP379/v2UTM5XJhcnJS+LfUdsHOOl95QUjstBalUgmn04l6vY5UKtXXY/cTmqZHwidm0FCr1ZISartNNpsVfGcG9fzr1/228zgsywrii9vt7onYA7wXlFZWVuB2uxGLxbC2tiaq6MNvBgAgrV2XsLe3h729PbRaLbjdbiwtLQ2teDw5OQmFQoHd3V0y/yWMDINfn0cgdIFUKoVCoYCpqalrGxgOEhRFweFwYGxsDLFYDAzDSKrknHA2wWAQOzs7MJvN+Pjjj/v2mQWDQVSr1b6md/GpNueN53Ri12n8fj98Pp9o57XL5UImk0E0GsXY2NhQlMGfBcMwKBaL0Gg0UKvVYg/nxgxDlVKz2US5XIbJZBpawYdlWUQiEchkMkxMTIg9nBtxletXt4/j8/mwu7srGCz3umKDoig8ePAAzWYTR0dH0Gq1mJ+f7+kxL6Oz6lPMe4OUUalUsFqtcLvdQ1nh3gn/Xdje3kY0Gu2ZAEogSAly1SMQAOzu7oKiqIGLYb8pcrkcXq9XmHRyHIetrS3E4/GhbkUZRNLpNN6+fQutVotPPvmkrwKCWq3uq5HzDz/8gH/37/4dfvjhhw9+d512LTEn9DRNw+12g2EYxONx0cbRa+r1Og4ODga+NdRut5/wOhtE8vk8Dg8PBR+fYSSZTKLZbGJiYmIgRdR+tZt2HieVSmF7exvlchkqlapv7Tk0TePjjz+G0WjE5uYmYrFYX4573lj4ak8xqj6lCMdxSKVSePfunXAe8vPBYRd7ePhglt3dXTLnJYwE5MpHGHmy2SzS6TQ8Hg+0Wq3YwxGFZrOJdruNSCSCQCCAfD4v9pAIeG9Q+uLFC9A0jSdPnvS9+qwf6V38hLPdbiMYDKLRaCAYDH5wrEGauI+NjcHr9WJ8fFzsofQMrVYLmUw29AbVg0CxWBT8WYYVh8MBr9c7sOJcv9pNO6+PxWIR1Wq1Z549F6FQKPDkyRMolUq8evVK9OsEad15T7FYxObmJo6Pj9Fut1Gv18UekigolUr4/X4Ui0UkEgmxh0Mg9BzpzpgJhD6xu7sLACNT3XMWKpUKy8vLcLvdaLVa2N/fx+7uLoldFpF2u43nz5+j2Wzi4cOHoqXv9FL06UzUksvl8Pv9UKlU8Pv9A7mL34nD4Rja9hrgfeuGwWBApVKRnM/TdeC9KwYVjuNQKpUkZ7TebWiaHrhI6NMiQ79i2n0+H/R6PcxmsyhiD49Wq8XHH38MlmWFe1m/YVkW6+vr2Nrawvr6+sgKP41GQ5jXNRoNjI+PY2VlZWQ3OQFgZmYGFEWRKh/CSEAEH8JIUywWEY/H4XK5hj7O9jIoioLL5cLKygqsViuKxSIymYzYwxpJOI7DL7/8gmKxiMXFRdErRXjRp9VqodVqdeU5T7cesCyLzz//HH/0R3+Ezz///NzHd/6/1GEYBpFIBIVCQeyh9AT+mjnI8eyNRgONRkPsYdyYSqUClmWH9v5VLpeFaoRBolPM7qQflYntdhvtdltUsYfHZrPh7t27QrWqWNftUV/Q5/N55PN5Ic1vYmJC0lWy/UCj0cDn8yGbzZK5LmHoGe1vO2Hk4at7xDYVlBIKhQJ+v/+E0MAwDFKp1MhPmvrF9vY2YrEY3G435ubmxB4OgPeiz/LyctfScfjWg2QyiXg8juPjYwA4t7JH7ASum8CyLJLJ5NDGtPMig9jtGqMM/94bDAaRR9IbQqEQ0un0QFWR9cuv5zyUSiUWFxdFF3t4/H4/pqamkE6nsb6+3tdj0zSN1dVVLC8vY3V19cL7xiBsIlyHTCYjbNA4HA7cuXMH09PTUCqVIo9MOvCV/fxagEAYVqQ/YyYQekSlUkEkEoHNZoPFYhF7OJKD9+gA3htmHh8fY3Nzkyzuekw0GsX29jZMJhM++ugjSbUw8GJMtVrtSnuXz+eDy+WCw+G4cGHE/7xfLRHdQqFQYHx8HI1GYyh9AlQqFUwm00CndA06SqUSBoMBOp1O7KF0nXQ6jWq1CofDMVDpmWKI0yzLYnd3V6i2k1pL7MrKCmw2G4LBIA4PD/t6bL/fj4cPH1543zivImsQqVQq2NzcRDAYFIIDht3j66bo9Xq43W4kk0niXUkYaojgQxhZ9vb2wHGcZCoopIzT6RQWrru7u9jf3x/oNgipUigU8Msvv0ClUuHJkyeSm7TzlEollEqlW4s+NE3DbrdfuDA6PRE/6zFS3pl1Op1QqVSIxWJda4eTErOzs0MRbT6o2Gw2zM/PS0oY7gZ8O6RcLhe9pfUm9FOc5sWeYrEo2Q0ZPrlLq9VifX0d6XS678c/D7ErsrpFs9nE4eEhtra2UKvV4HQ6MTExIfawJA+/BiBVPoRhhgg+hJGkXq/j+PgYZrN5YFM/+glN05iYmMDy8jIsFgvy+TwCgcBQxwD3m0ajgefPn4PjODx+/LhrrVO9wOl03srIuXNCfdHC6LKJOMuykt+ZpSgKHo8HLMsiEomIPRwCYSCIxWJot9twu90Da0bdz8qecrksXJelilKpxJMnT0DTNF68eIFKpSL2kAAMZrvwaWq1GgKBALLZLEwmE5aWluDxeAb2u9NPTCYTHA4HotEomdMShpbBu6oRCF3g4OAALMtibm5u6HZGe4lSqcT09DTu3LkDs9kstBEMkr+CFGFZFj///DNqtRru3buHsbExsYd0KTdN7zpLoDlvgn3RRDwYDOLVq1dYX1+X/M6s2WyG0WgUDHaHCY7jsLe3h6OjI7GHciO8Xi+8Xq/Yw7gR4XAYOzs7Q3f95TgO5XIZWq0WVqtV7OFIltNij1Q8ey7CaDTi0aNHaDab+PnnnyVjxj1o7cI8/Hdfo9HAYrFgdnYWs7OzpM32mvA+noOc2EggXAQRfAgjR6vVwuHhIfR6/UCWiksBvV6P6elpQSzj/X3I7sj14TgOb9++RTabxczMDHw+X1+PfxsBolP0uUqJ/k1K58+aiJ9O6uKFISnvzE5NTWFpaUnSY7wJFEWh1WoNrP+B0Wgc2ISrQqGARqMxdLv4FEXhzp07mJ2dJRsyF5DNZgdK7OFxuVxYXFxEsVjEL7/8IglDe5ZlB+raXK1Wsb29jYODA+Fnfr8fJpNJxFENLlarFWNjYzg+PkatVhN7OARC1xmcqxuB0CUODw/RbrdJdU8XUSgUqNVq2N7exuHhIZrNpthDGhiOj49xdHQEh8OBpaWlvh77qu1QFwkzLpcLc3NzcLlclx7vooodlmXPPc7piXjn86yurl5qyCkF5HK5cL0ZtooMg8GAdruNarUq9lBGhmaziXq9PnTpXPx3g6IoKBQKkUcjbWw2G+bm5s4Ue6ReSTg3Nwe3241YLCa6d4rU24I7abfbODo6EjbYVCqVJASzYWBubg4cx2F/f1/soRAIXUeajqAEQo9ot9vY39+HRqMZqB0xqePxeGCz2RAOh5HNZpHP5+FyueByuYiodgHFYhHr6+vQaDR4+PBhX3cYT1fb+Hy+c02TM5kMrFbruaIKXyHBcRzi8bhgxHwWfr//g2MFg0Ehrnd1dfVK4s1ZzzMIhEIh5PN5LC8vD9zYz8NoNCKRSKBUKkGr1Yo9nGsRCAQAAMvLyyKP5HrwaUyDWp10FhzHYWtrC1qtFlNTU2IPR5KwLIt4PI7x8XFQFHXm53+Va7bYUBSFjz76CMViEVtbW7DZbKK0Ml92H5RS5U8ikUAsFgPDMDAYDPB6vZL2+hs0nE4njEYjgsEg5ufnSXw9YaiQxlWMQOgToVAIzWYTs7OzkrmJDwtqtRqzs7OYm5uDUqlEqVQiYs8FtNttvHz5EizL4tGjR32fXFzFqPK6LVjFYhHRaPRST5/TE+pUKoVsNotMJoNUKnXl3elB/A6rVCo0m00hLncY0Ov1oChKsglBwwj/Xg+T4JNKpVCv1wcqgr2f8J49sVgMmUzm3McMSuKUXC7Ho0ePQNM0Xr58KUpl8FV84qRS+VOpVCCTyTA9PY35+Xki9nQZiqIwNzcHhmFweHgo9nAIhK4yeLNlAuGGcByHw8NDyOXyvvukjBJGoxFLS0sndmhDoZBk2z3EmhCvr6+jVCphcXFRNJPmy4wqr5teYjKZrm3kzEezj42NwWq1wm63Xxi9LuUFzFWw2+3QaDRIJBJD0/pI0zT0ej3K5fLAfz6DQrFYhEajObeSbtBot9uIRqNQKpVXag8dNU4bNNtstjMfN2iJU0ajEaurq6jVanj9+rUo7Unn+cStr68jEAhgfX1dlOsanybLvyc+n09ISiX0homJCajVagSDQXIvIwwVwzFTIBCuQDqdRqlUwszMzNBMkqVKp/9CtVpFMplEMpmEzWbDxMSEZLwZxCp9D4VCOD4+hsPhwOzsbN+OexaXLQiu2zrFL9YikQh2dnYwPz9/6feNP8bp8fDl9PznVKvVoNFoJN2qcBl8TPvu7i7C4TCmp6fFHlJX4COApb7AHBYWFxfRarXEHkbXiEajYBhmINs0e81FaVxntRyJ0e56m9Ynn8+HdDqNcDiMg4MDzMzMdHl0l3Pe2MWoUmYYBtFoFKlUChzHCSmPZN7ae2iaxtTUFDY3NxGLxeB2u8UeEoHQFchdlTAy8CWag7pQHFS0Wi2WlpZgMBiQTqcRCASQSCRENxoUq/S9XC5jbW0NKpUKDx48GIi2t+tO5DvTu65aGk3T9Afl9K9fv8bBwQEymQyazSaCwSCazabkWxUuw2g0wmw2I5fLDU2ynVarJa04fUSpVEKn04k9jK5Qq9WQSqWg1+tFq3aUMkdHR2eKPReZDfdT7Lmt6TFFUbh79y50Oh0CgQByuVx3B3gDaJrG6uoqlpaWsLq6KryfvbzvcByHVCqFjY0NJJNJaLVaLCwsDFXb5iAwOTkJmqZJWxdhqCCCD2EkqFariMVicDgc0Ov1Yg9n5NBoNJifn8fMzAxkMhnC4TAikYioYxKj9J1hGLx8+RIMw+DRo0dDvUB2uVzwer3XMkevtWo4yB2g0qgIYlwul4PFYoFcLoff74dSqRyIVoXL8Hg8MBqNQxWpPcjx7IMEH8c+LNA0DZPJBK/XK/ZQJInb7cbExMQHlT0XbVjcRJi46d90Y+NEoVDg0aNHoCgKL1++lET1mt/vP5EA2es0r0QigePjY1AUBb/fj4WFhaERdQcJlUoFt9uNTCaDQqEg9nAIhK4w2DNmAuGK8DfoYWmfGFTMZjOWl5fhdrvhdDoBvN/VqtfrooznMg+bbhMIBFAoFHDnzp1zPRiGCYfDIRhLVqvVcz19GJbBH//VH8Pxvzkw8/+bgev/68L/Efw/QMkoQdxhWRYej6evn1cvUalUmJubGyrjzVAohP39/St5N0mF2dlZ0dsqrwPLsjg4OMDR0ZHYQ+kaKpUKs7OzA5fw1ktYlkWlUgHwvpprfHz8xO8vMxu+rjBxUzGjmxsn/PygWq3izZs3olcBAzhR2cMLW9cJFriMRqMBhmEAvPd3m5iYwMrKCqxWa1een3AzeA9KUuVDGBaI4EMYehiGwdHREXQ6HRwOh9jDGXlomobL5RJ8fJLJJN69e4dQKCRMfPo9nn4QjUZxeHgIm82GO3fu9OWYUqHVamFnZ+dcI+c/+Zs/wZ/99s9Qbr5vbyo3y/jfN/53/D/5/wc+nw9ra2t49+6dEN0+bOTzeVHO/W7Dtx7wkeGDgEqlGqhKu0qlApZlh6LNg2VZZLNZsYchOXjPnp2dnQs3Q84zG75uxc1tq3S6uXEyNTWF8fFxRKPRvomaV3m9vLCVTCYRj8dxfHx862NGIhEEAgEhsVEmk2F8fHzgq1eHAYvFAovFgnA4PDThCoTRhlxVCENPJBJBs9nE1NTUQPiljBp6vR5arRbJZBIbGxuCUeEwUalU8Pr1ayiVyoHx7ekmCoUCLpfrzPSuWquGP3/x52f+3Z+/+HNs7W3h5cuXWFtbQzKZ7NeQ+0ahUMD+/j5isZjYQ7k1vAgxSPHsjUZjoNqj+PfWYDCIPJLbk0wmcXh4iHQ6LfZQJEOnQbPdbodarb7w8afFgZtU3HSjSqdbIgVFUbh//z40Gg3W19d73lJzncomn88Hl8sFh8Nxq/a1TCaDjY0NxONxqNXqoRBvh5GpqSkwDHNrcY9AkAJE8CEMNRzH4eDgADKZjESxSxSdToeFhQVBkDs+Psbm5qZobV7dhmVZvHz5Eu12Gw8ePBiqFp7r4HK5MD4+/oHoEyvHhMqe05SbZezEdmAymWAymYayDc5kMgmC56Cf80qlEiqVaqAqfPb29rC3tyf2MK5MqVSCTCYb+PanVquFWCwGlUpF2lf+OxelcV2Hm1Tc9Lu9+SJ4Px+O44R7Zy+4bmUTTdOw2+03FsZarRa2trYQDAbBcRx8Ph8WFxeHQrwdRiYmJqBSqXB4eDh0m5CE0YMIPoShJpfLoVAowOv1SiYKnHA2Y2NjWFlZwfj4OFiWHZrPa2trC/l8HrOzs4Jv0SgSDAYRi8XAsqwg+jAMg3H9OHTys40p9Uo95sfncefOHTx48AD37t0bynJ3r9cLjuMQDofFHsqtMRqNA1c1Myi0221UKhUYjcaBrxKMRCJgWRZer3fgX0s34DiuK2IPj5hVOt1gbGwMS0tLKJfL2NjY6MkxblLZdBthTC6Xg2VZOBwOrKyswG63k3NfwshkMkxOTqJarSKRSIg9HALhVsjFHgCB0Et4wzXegI0gbWiaxsTEBMbHx4WJEJ/m5XK5Bi7RKJfLYW9vDyaTCYuLi2IPRzT4ndRmswmlUgmn0wmO4yCTyaCiVPhHk/8I/2b/33zwd/+D5X/A/vY+lpeX4ff7JbUg6SZ8HHU2m0WxWBzoEn+TyYR6vT4UnkRSg2EYGI1GmEwmsYdyKyqV9yl8w/BaugVFUTAajdDpdLcWe4aFmZkZJBIJHB0dYWJioicejH6/Hz6f79x7C8uyZ7bNXQWWZZFMJtFsNuHz+UBRFBYXF4nIM0D4/X7s7u7i8PAQLpdL7OEQCDeGCD6EoaXZbCIajWJsbGygF1CjCD8h4jgOxWIR1WoVmUwGbrd7YMr/GYbB69evAQAPHjwYWrHiKtA0jVqthmAwKBjk8p8jRVH44yd/DIqi8O+D/x6VdgV6pR7/0PsP8WX7S2QyGWQyGUm0GvQSt9uNfD6PSCQy0Ncrvv2uF9RqNezv7+P4+BiJRAKlUgksy0Kj0cDlcmFpaQlzc3Nn/m0gEMB/+2//7YOf84ap/GT+H/7Df4jJycmejP+28Mlug040GgVFUSSGHb8zDKZp+oMkrlGH9/P5m7/5G7x+/Rpff/11Typ/z7s3B4NBZDIZWK3WC0Whs8jlcoLhr1qtFoQjIvYMFvy9JRaLoVKpQKc7uxqZQJA6RPAhDC2hUAgsyw79QnGYoSgKCwsLSKfTiEajCAaDSKVS8Hq9kr/xbm9vo1QqYWFhYaAX8N2AZVmoVCpMTU3h8PAQzWYTmUwGPp8Ph4eHaLfa+Nf/6F/jX1H/CrFyDOP6cSQiCSGVy263D71gplQqMTU1NfDeLL3kX//rf33CZ0Mul4OmaZTLZcGLZ2pqCn//7//9cxeGFEWd8NHiTXH5933QqggHkampKZRKpUsNiYcd3rNHJpNhZmaGiAFnoNVqsbKygrW1NWxsbOD+/ft9OW6nv8/6+jpSqRTsdvul88larYZQKCR4bXk8HjgcDvLZDjB+vx+xWAxHR0dYWloSezgEwo0ggg9hKOE4DsFgEAqFAhMTE2IPh3ALKIqC3W7H2NgYotEoUqmU5G+8uVwOu7u7MJlMQ7Ejf1uOj4+FSgq/3w+lUgmr1Yrj42Ps7e0Jsaezs7OYtkwLj+ON1odd7OExm81iD6ErlEolRKNReL3ergpYLMvC5XJhZWUFfr9fqCQqFov46aefsL6+jsPDQ/zlX/4l/u7f/btnPofBYMA//af/VPh3IBAAACwvL3dtnL2g0WgIbQWDfp7I5XJYLBaxhyEqpw2aiSBwPpOTk4hGozg+PsbExERfvPB4f59UKgXgdwLQ6Uqf0y1fvNhjs9ngdrshl5Nl1qBjt9uh1WpxfHyMhYWFkZmPEIYLciUiDCWZTAblchkzMzNkx3ZIkMlk8Hq9sNvtJ3b5c7kcTCaTZG7CDMPgl19+AU3TI9/KBfxuouxwOEDTNO7fvw+apsGyLNbW1mA2m5HP57G7u4tAIID79+9jdnYWwOgIPZ1wHIdUKoVWqwW32y32cG5MuVxGsVjsquDzj//xPz6zDchoNOIP/uAPQFEU3r59i83NTXzxxRdXSr+RutDDUyqVUKlUBjotJh6Pg+M4uFyukRY4upXGNSpQFIWPPvoI33zzDd68edOz1q7T8JsOx8fHQmsXf09iWRbHx8dIp9NQKBS4d+8egPfR7SzLkkrNIYKiKExOTmJzcxOxWGyg78uE0WX0ZtOEkSAYDAKAZL0YCDdHrVYLk6lyuYyDgwMEAgHkcjmRR/aera0tlMtl3Llz59atXJfFxA4CnUkojUYDa2trePbsGdbW1lCr1UDTNObm5qBWq1GpVPD69Wuh4mcUoSgKuVwO8XgctVpN7OHcCL1eD5qmUSwWu/q8l3m+rK6uCv/NV5QNC/x7OagRzs1mE7FYTDLXabGQotgzCPcZrVaL5eVl1Ov1nqV2nQVN0x8kcwWDQbx69QrPnz/H7u4u1tfXkc1mAZycnxCGB950m19bEAiDBhF8CENHo9FANBqFzWYb2Mkx4WrwiSYMw+Dg4AA7OzuoVquijSebzWJvbw9ms1moUrkpwWAQr1+/HooJht/vx71796DRaNBsNhEMBtFsNpHL5YSS+Dt37mB8fBx6vX4gFiC9hBc2QqGQyCO5GRRFQa/Xo1wu9/Wz7GyfuGolTLFY7Low1W04jkOpVIJWqx3YFpFwOExi2AG02220Wi3JiD2DdJ+ZnJyE3W4XTNv7SWdlD99eFo1G0Wq1MD8/P/BtloSLUavVGB8fRzqdRrlcFns4BMK1GcyZA4FwAcfHx+A4jpg1jwAURcHpdMJqtSISiSCdTmNzcxM+nw92u72vY+FTuTrblq7KaR+ATsPIs3wDBg2WZSGXy2G1WoXErc6FayqVwsOHD4Vy+EFd1HYLrVYLm82GdDqNfD4/kIsJo9GIYrGIcrncN9PyToHMZrOd+ZharYZ/+2//LbLZLDiOQz6fh8PhwB/+4R9KNjWqVquh3W6f+5qkTqlUQi6Xg9lsHvlNGKVSiYWFBUlc4wbtPiNWa1cn+Xwe2WwWtVoNbrdbMGWW8vtG6A5+v18ID1lZWRF7OATCtSBXKMJQwZs1q1QqEnE6QsjlckxOTmJxcREGgwF6vV74Xb88L27aynXWDmtnG1Snb8Ag0vn6+NL4zz//HA8fPsTq6iqSySTi8TiOj49B07SwEKpUKtje3ka73Rb5FYjDxMQEZDKZkDY4aPDfgX5VzzQaDTx//hwA4PF4MDY2dubjWq0WEokEZDIZOI4T2kL//b//9/h//9//V5LvNf8eDmLaH8dxCIVCoChKEhUtYsC3cfGfoxTEHmAw7zNitHZxHCfMI/R6Pebm5vCHf/iHgkdkJpOR5HWD0F1sNht0Oh1CoRAYhhF7OATCtZDGXYdA6BKpVArVahVzc3MDMXkhdBetVov5+Xnh39lsFrFYDB6PR0j06QU3beW6aIeVN4wc5POYf32dMez866FpGj6fD6lU6swElHK5jHK5jJ2dHczPz0tmkdQvFAoFxsfHkUgk0Gg0TkSJDwIajQZTU1N9qejgOA7/5b/8F1QqFcjlcnz99dcfPEan0+Hp06eYm5vD2NiYIPj85je/wZs3b8CyLDY2NqBQKM78ezGx2WxQqVTQ6XRiD+XaNJtNMAwDp9MJlUol9nD6Tqdnj1arlZxoN4j3mX6mdpXLZYRCIVitVjgcDiiVSty5cwcAhIpVi8UyUO8f4WZQFAW/349AICCkUBIIgwK5QhGGCr6kn49zJow2DMOg2Wxib28Pe3t7qNfrPTnGTVu5LtthHfRJJE3TqNVq2N3dFQyaT//ebref+fqdTifcbjdqtRp2dnZGstLH4XBgeXl54MQenrGxsb60XHzzzTc4ODgAAPz6178+s53T7/fj008/hd1uF5IbKYqCw+HA7//+7wtC7Zs3byRnLMzHmA/i9UClUmF5eXkkK25PGzRLNd1n0M4riqJw//59yOVyvHnzBq1Wq+vHaDabODg4wPb2Nmq12pkVPH6/HxaLBblcbiA8kAi3h/cgC4fDYg+FQLgWg3WVJxAuoN1uIxaLwWKxnGjpIYwudrsdy8vLGBsbQ6FQwLt37xAOh7tajru3t3erVK7TCSCnGeRS8Xa7jVwuB4ZhBIPm06/notfvcrlGWvShKEoQJ3qxqOkH9Xq9J0Irz7fffovXr18DAH71q1/dyFuBoih89dVXAN5XC/HikRRoNBoDm9bGn7M0TQ+cqHBbpJjGNUxoNBqsrKygXq9jc3Oza8/LmzLzyZ9msxnLy8twuVxnPjaXywkVuoN8ryZcDZVKBYfDgWQy2dP7GoHQbUbrDkwYauLxOBiGIRMrwgmUSiWmpqawsLAArVYrtBB1g0qlgp2dHej1+lulcp23GBqkBJXT8GNPJBJCKs95r+eixWCn6JPJZHo5ZMmSyWSwvr6OSqUi9lCuRavVQiAQ6FlE+nfffYeXL18CAL766is8fPjw2s+hUqmgUqlgNpuFSqp8Pt/NYd6KVCqFd+/eDZzoU6/Xsb6+3vc0JamQy+VGRuwRS+jw+XywWCw4PDxEoVDoynNyHId0Og2VSoW5uTnMzMyc24rYWaE7qBV4hOvDt3JFIhGRR0IgXB1ydSIMDeFwGBRFSbZsmiAuOp0OCwsLWFhYENpMstksSqXSjZ9zY2MDLMvi7t27XZ/snfb3GaTdw84xO51OLC4uYnl5+ca7oS6XC3Nzcz31apAyvHfLoMW0KxQKqNXqnhg3f/vtt3jx4gUA4Msvv8SjR49u9Dyzs7O3Emt7TbFYhFwuH7i2vnA4DI7jRrba1mq1Ym5ubujFHjE3JSiKwt27dwEAb9++vXFAQ6VSQSqVAgDIZDLMz89jcXHxShW7pK1r9HA6nZDL5aStizBQEMGHMBQ0Gg0kk0k4HI6RNIYkXB1+4cSyLEKhEHZ2dnBwcIBms3mt50kkEojH43C73T2JgB/EBBXg/QJgbW0NtVoNcrkcq6ur+PjjjzE9PX2r18NPvjmOQzQaHan2LrVaDbvdjkqlMnBVTkajEa1Wq6vl799++61Q2fPll1/i448/vvVz5vN5oYqmlwbv16HdbqNWq0nO6PcyCoUCCoUCxsbGBtJo+qawLItIJCKI2YP2uV0XKWxKmM1mTE1NIZvNXlsQb7VaCAaD2NraQjgcFu4parVaqEq9DNLWNXrI5XKMj48jn8+jXC6LPRwC4UoMxgqCQLiESCQCjuOGfjeN0D1omsbCwgLMZjNyuRw2NjYQjUavNGFjGAbr6+uQyWRYXl7u2Rgv8/eRGp0LAI1Gg3v37sHv959IHrvt6ykUCojFYiPn6TMxMQG5XH5iQTkIdDuevVPs+eqrr24t9qRSKaRSKXz33XcA3lcNTE9P33qc3WAQ49g5jkM4HAZN0yNVbct79sTjcWSzWbGH0xeksimxsLAApVKJd+/eXcnrjGVZxONxbGxsIJPJwGg0YmFh4UZJkFJ5Dwj9hV9rkCofwqBArkyEoSAcDkMmk51prEcgnIdKpcLMzAzm5+ehVqsFIeEy9vb2UKlUcOfOnZ63WgzSBPIqk9/bvh6z2TySRs4ymQwTExNotVo988TpBXq9HhRFdUXw6fTs+dWvfnXlNq5isYi/+Iu/wNu3b094fXAch0AggL/4i7/A7u4uAODu3bsYGxu79Vi7Af+e9SPavlukUinU63W4XC4olUqxh9MXThs022w2sYfUN6SwKaFUKrG0tIRGo4Gtra1LH39wcIBIJAKFQoGZmRnMzc3d6j5+lfdgkER6wuXY7XaoVCqEQqEbtxISCP3k+nI2gSAxyuUycrkcPB7PjXZoCASDwYDFxUWk0+kT51Cz2fxg0VKtVgWj5pmZmX4PtWewLNsVccnv98Pn8+H4+BivX7+G1Wrt+mKAF3YjkQh2dnYwPz8/Et99m82GUqk0UL4oMpkMRqNRSBu7KcViUfDsoSgKP//8M37++edzH//xxx+fEITi8bgglMlkMiiVSjSbTcF40+VyYWVlBV9//fWtxtlNZDIZdDrdQAknOp0OZrN5ZPy2SBqXNDYlfD4fjo6OcHBwAJ/P90FbZue93Ol0Qq/Xw+l0Xrl16zIueg+CwSAymUxP7oUEcaAoCh6PB/v7+8jlcpLZJCAQzkP8qzSBcEv4kkreOZ9AuAkURcFut8NisQAAarUaNjY2EAwGT5SJr6+v98yoWSx6YbzZa2+HzvSuw8PDrj+/FOHbjQapxQd4b4w8NTXVtefjOA7VavXC/3V6cmm1Wnz99ddYXFyE1WqFUqlEo9EATdMwmUyYm5vDH/3RH+Fv/+2/LanvtNfrxcLCgtjDuBY6nQ4zMzOSeh97yfHx8UiLPVLhPAPndruN4+NjbGxsCH4rBoMBLpera2LPRUjB54jQG0hbF2GQGP4tUcJQw/sFqFSqkSqjJvQemqZhMBiQyWSQy+UwPj4OjuN6atQsBqcnpD6f70aLtc4KIb61i9/V7NXiz+VygabpgRNAukG5XAZFUSNjims0GvEv/sW/uNHfyuVy3L9/H/fv3//gd4FAAABGym+mF9RqNbRarZH7Lk5MTECtVpN2cgnAGzgfHh4iFApBrVYjGo2CYRjo9fpbVxnehH7dCwn9x2QyQa/XIxKJYGVlhXy2BElDcaT5kDDA5HI5fPfdd5iensbq6qrYwyEMIYVCAaFQCPV6HYlEAhzH4de//vXAxSRfxG1Lzs/7+261iV2VSqUClUo19O1d7XYbb9++hVqtxuLiYl92qm9LLBZDs9nE5ORkT4/DsiwajQbq9Trq9brw361WCxzHgeM4sCwr/Hc+nwfwfrFIUZTwP5qmQVEU5HI51Go11Go1VCqV8N+9Pq/5XeNBqRrZ2dlBqVTCysrK0CdlsiyLarU6UK2Vo0Kz2cRf/dVfgWVZOJ1OqNVquN1u0Vtu+n0vJPSH7e1tbG1t4cmTJ0T0JUia4Z4VE4YePoaTtHMReoXJZILRaMQvv/yCdruNmZmZoRJ7gN/57ty0sud0hRDwfmeznxPcVquFnZ0dqFSqoff0kcvlcDqdiMfjSKfTA1FtVq1WUSgU4PF4brzT3mw2US6XPxBzOv/daDRu9NzXjddVKpUfiECdwpBer7+x8MFxHNLpNNRq9Y3+vt/kcjmUSiXYbLaREHt2d3dRqVSwtLQ0MJ/RqKBUKjE/P49AIACGYbC8vCwJoUUKYyB0H4/Hg62tLYTDYSL4ECTN8M6ICUMPy7KIRCLQ6/UfGPQRCN2kVqshFotBr9djaWkJAFAqlZDL5YS47EHhvJ3Gm05IT5esHx8ff1Dt04/dTYVCgfHx8ZExch4fH0cmk0E0GsXY2Jgo7QrXwWAwIJ/Po1wuX+l63Ww2kc/nUSgUkM/nkc/nUa1Wz3wsTdNQq9XQ6XSwWq1nijAKheJE5U7nfwP4oPKH/3er1TpXXKrX68hms2AY5sxxaTQamM1mmEwmmM1mmM3mKwki1WoVDMMMRHsUy7JCSuawt8WdNmgmYk//uOgewjAM4vE4tFotLBYLZmZmEIlEkEwmUS6XB+J7RBhMdDodxsbGEI/H0Wq1oFAoxB4SgXAmwzsbJgw9qVQKzWYT09PTA9HSQBhcNjc3wTAMVldXhUlnNptFOp1GNpvFxMQE7Ha75M/DbqaFdE7A+QohAHj9+vWJap+zBKBeMUrpXTRNw+12IxgMIhqNSr7KkV90FYvFMxN0eFGHF3hOizt6vR4ejwdGo/EDMUcul9/6u8cLQKfRaDQXLhg5jkO73f5ACCoWi8jn84jFYojFYieer1MAOksE4uPYB2Ghmkgk0Gw2hz4lk6RxicdF9610Oo1oNIpWqwWz2QyLxQKKonDv3j18++23CAQCePr0qTgDJ4wEHo8H2WwWsVhMmAcRCFJjeO/OhKFn0DwOCINJoVBAOByG3W6Hw+EQfj45OQmj0YhwOIxQKIRUKgWv1yvZRdpF5szXqcBhWfZMEYf/+85qHwBdMYS+DqdFn4WFhaEtp7darUilUkin0xgfH5f0gpuvsikUCjAajUgmk8jlcigUCueKO7wgYjQae7Zzetu2YIqioFAooFAoYDAYPvh9u90WxB9e0EokEkJEPPD+veFfq8PhQKFQAE3TkjfkZlkWyWQSarX6xLVx2OA4jog9InHefatcLiMUCqFarUIul2NyclK45wDvPbk8Hg/C4TDS6TQJ9SD0DLfbjfX1dYTDYSL4ECSLdGeHBMIFtNttxGIxjI2NSX5STBhsNjc3AUBo5erEYrHAZDIJC7i9vT2srKxAqVT2e5iXcl5ayHWqfoLBIFKpFOLxOBwOx5kijs/nO/EzMRJKeNGn3W4PrdjDw5sgS1nsYVkW6XRaED729/eF3xkMhhPijslk6utr4atpeoVcLsfY2NgJ01iGYVAoFE60q/HXkK2tLchkMhiNRiQSCdjtdsm269E0jYWFBbTbbclXN94GiqJgMpmg0+mI2NNnzrpvMQyD3d1dcBwHp9OJ8fHxM78jCwsLiEQiePfuHb744ouhPkcJ4qFUKgVPvXq9Tlo9CZJEujNEAuECYrEYGIYhky9CT8lkMkgkEnC73TCbzWc+hqZpjI+Pw2q1olwuC2JPtVqFSqW61WKt2943p82ZrxPJzj+WZVkAv5uIdz6eF48sFgump6fPPGa/6DRQ5P1YpLpwvg1SNRBvNpuCiJFMJtFutwG8r2bx+XwYHx+HxWKRtFDVK2Qy2ZkiUC6XQzweRywWQy6Xw/PnzyGTyWC32+FyuSTpG6NSqYbWqLnzWkcMWcXD7/fD4/EIhuwymQx+vx9arfbCc0+n08Hv9+Pw8BCxWAwTExP9GjJhxPB4PIjH44hEIpiZmRF7OATCB4zeTIswFITDYVAURW7ghJ7BcRwCgQAoisLCwsKlj1cqlcICjmVZ7O3tgeM4uN1uWK3Wa+8udtNvp5NO4eW8qp/z/o5/7OrqqiDi8KIULxodHx8LVVG86CN2lc3h4SHq9fpQe/rk83mkUinMzs6KtpNdLpcRj8cRj8eRyWSEn1ssFrhcLrhcLhgMBrLTfgYymQw2mw02mw0rKysn3svOFjCpvJd7e3uwWCwn2miGCd6zh6ZpUb9ThPd+eZFIBAzDYGVlBXK5HBaL5Up/Oz8/L9yTXC6X6PciwnDicrkgl8sRCoWI4EOQJMM58yUMNfV6HclkEi6Xa2h3FgniE4/Hkcvl4Pf7odfrr/W3NE1jYmICkUgER0dHgr/PVZ/nOpU3t+U6FTinH8uLUrVaDRqNBpVKBZVKBTqdDrlcri/pXFdBq9Uil8sNtZFzrVZDsVhEMpmE0+ns23Hz+TwikQji8bgQbS6TyQRR4nRVCsdxqFar0Gq1fRvjIFGtVqHRaKDX6zE7O4vZ2dkPqqVyuRw2Nzeh1WrhcrngdrsFs9p+kMlkUCgUoFKphlLwOW3QTMQecahWqwiFQiiXy5DJZJiYmLh2laZarcbMzAx2dnYQCoWEFlgCoZvw5+fx8TFKpdKZfm4EgpgM36yXMPREo1EAxKyZ0Ds4jsPm5iZkMhnu3Llzo+ew2WywWCyIxWJIJpPY3t6GzWa70oTzOpU33eCi5z8t2pxuB2s2mwgGg5iamoJOp8Mnn3yCQqHQV8+eyxiF9C6n04l0Oo1YLAar1drT19dqtRCJRBAMBlEoFAC8X1j5/X64XC7YbLZzF2bRaBTxeBxLS0uSbUcTi1arhc3NzQ+uE0qlEl6vF16vV/BD4qt/Dg4OcHBwAIPBgMnJSXi93p56iLEsi0gkArlcPpQVtiSNq3vcRvDnRWQAsNvtmJiYuPE1bXZ2FsFgEFtbW/B4PJJo7ZXKZgihe3g8HhwfHyMSiVypKpxA6CfDNeOVCO12GwcHBzAajTAajdBoNGSHqIvE43HQNN3XXWzCaMHv0szPz9/KM0Mmk8Hj8cButyMcDl/ruXjfgn4IE+dNPi9rK+NFKZVKhcPDQ/j9fjx8+FCSk9lhF31omobH48HBwQEikUjXd7I5jkMul8PR0ZHQXiGTyTA5OQmfz3flChODwYB4PI5isSgJwUdK6VK8gfRFu8M0TcPhcMDhcGB1dRXFYhFHR0cIh8PY2NjAu3fvMDExIaQWdXvuEYvF0Gq14PP5JLFw7iZE7Oket21JVqvVMBgM8Hq9t75OKBQKzM/PY2NjAwcHB5ibm7vV892WXrVrE8TFarVCoVAgHo8TwafL8BXMxWIRk5OTkgxGkTrDM9uVEI1GA5VKBaVSSdgJMxgMMJlMQ1n+3E9arRbS6TTsdvtQLdYI0oFhGGxvb0OpVGJ2drYrz6lSqU70dbdaLezs7GB8fPyEcWsn/ZoUnneci9rKOv/m3r17ACCkU0hR7OHhRZ9kMgmGYYbuGmKxWGAwGIRrZDfaphiGQTgcxsHBgSBImM1mTE5Owu12XzsuXa/Xg6IoFItFSYj2drtd7CEIlEolABcLPp3w6VF3797F8vIyotGoIP6Ew2Ho9XpMTU3B6/V2Jda+0WggkUhAo9EMZcw1wzBotVpE7LklN2lJLhQKCIfDmJmZgVqthtVq7ep82e/3Y39/H7u7u/D7/V35PtyEzvcmlUqJEmhA6A38RnQ4HBba3Ak3J5fLIZ/Po1gsCqEPFEWhVqsRwecGDNdsVyLodDrcu3cPlUpFUCR5Pwv+BpbP58FxHAwGw9AtOnpJMpkEx3EkMYPQMw4PD1Gr1bC8vNyzSWGtVkOr1cLh4aHg79O5OO+Xh89Fxzmvrez033g8HtRqNRwcHGB6elryk1eXyyXpqOvb4vV6sb29jXq9fivBp1ar4fDwEEdHR2g2m5DL5fD7/fD7/TCZTDd+XpqmodfrUS6XwXEcqX7tgK96usl1RyaTCW1fpVIJR0dHOD4+xvr6OjY3NzE5OSm0Xd6Uer0Omqbh9XqH8nNTKBRYXFwc2mtDv7hOS3K9XkcoFEKxWARN06jVaj1JopPJZFhYWMDr16+xu7uLpaWlrh/jKvDvzfr6OoD31cSkymd4cLlcCIfDiMfjmJqaEns4AwPDMCiVSmBZVtgELRQKyGaz0Gg0sFqtMBqN0Ov1kp9jShWK4zhO7EGMAu12GwzDCCbDm5ubqFarAN4bivLtX/zuJ+FsXr16hXA4jD/4gz8g6jmh67RaLfzlX/4l5HI5fv3rX/d04t9utxGNRpFKpQC8LwfurJgQu8KH56yKnU6zZpVKhbW1NSFl6O/9vb83MDfkcrksxKgOk/DOt1vdhGw2i4ODA0SjUXAcB51Oh6mpKfh8vq4JoLFYDNFoFPPz86KbW+7t7QFA16r5bkqtVsO7d+/gcDjg9Xq78pztdluozuKrh1wuF6anp2Gz2W4017jNuSVF+ERFp9N5KyGT8CEXVXu2223EYjGkUilwHPfB/a8XcByHb775BtVqFb/+9a9Fm0OyLItXr16BZVnI5XLcv3//xPsk5SpZwsW0Wi381//6X2G32/H06VOxhyNZOI47URRRrVbBcRyUSiVWV1cBAM1mExRFiVaNN2wMzwxX4sjl8hMLiunpaZRKJeFk5w0YZ2ZmYDabAYAkmZyCZVkkEgmYTCYi9hB6wt7eHlqtFlZWVnq+qJHL5fD5fLDb7QiFQshkMjCZTELc7HXSs27DZcc56+e8v9Da2hrq9TpKpdJALpYqlQrK5fLQefrw526r1YJMJrvSOZTP5/Hu3TtBgLTZbJiZmelJSpHRaEQymRTKtMWk0WiIPQQA7z8rhUIBo9HYtefkq7ImJyeRSqVwcHAgzDXGxsawtLR0pbYZjuPQarWgVCqHTuzhPXt0Ot1AXsOkzEXXnVqthmQyCZ1OB6/Xe6vKs6tCURSWlpbw/Plz7OzsCO3I/Yamadjt9jMroIi/z2CjUChgs9mQTqfRbreHZk7RDer1OpRKJWiaRqVSwfb2NoD38xWTyQSj0XhiA4i0bXUXciaKhEqlgkqlgs1mA8dxgiEVf7JXq1Vsbm5CLpcLXwKj0TjSX4BcLodWq0XauQg9odlsYn9/XzCK7BcajQbz8/MnojxrtRoajYYg/vaaywSB0zuO/M5krVZDMBiEx+OB3++H3W4fqJ1Jp9MJjuOG0si5Wq1iZ2cHTqcT4+Pj5z6uXC5jc3PzRPrh3NxcV4WH0/Btz4TfYTQacffu3Z48N0VRgtFzuVzG/v4+jo6O8MMPP8DpdGJpaenCzzudTiMcDmN2dlb0iqxucdqg2e12iz2koadUKoGmaeh0OhgMBlEq/JxOJ8bGxnB0dIS5uTnRNlXPCmXoVys3obe4XC6kUikkk8mhTDK8Kq1W60RhQ6vVEuYWOp0OExMTMBgM0Ol0pLOlDwzHzHbAoSgKWq32xI1HJpPB6XSiWCwim80im80CeG94edOY6EGHj+gkgg+hFxwcHIBhGMzPz4ty8+mc+EYiERQKBRiNRng8HlEr2k7vOPL/NplMghm1UqnEvXv3BlIsGdb0Lt4LJh6Pw2q1frBZUK/Xsb29jaOjI3AcB6fTicXFRVLlMOTo9Xrcu3cPMzMzgtCXSCTg8XiwuLj4wQKYYRhEo1HIZLK+VGH0A5LG1V8ajQbC4TDy+Tx0Op2QYCSGeEhRFO7cuYMff/wRe3t7uHv3rigtVGdV8lzH+4ggXVwuF9bX1xGPx0dW8Nnf30c+nxf+rVarYbFYhPYsiqIu3IgidJ/Bn9UOKSqVSpiEtNttFItFYXeEJxQKoVKpCP4/w66SxmIxqNVqsiAhdJ12u42DgwNotVpJ3KAnJycRiUSQyWSwubkJu92O8fHxvgsR/I5js9kUDJpTqRTC4TCCwSD0ej1cLhdWV1cHWiTpFH2y2aykorpvCkVR8Hg82NvbQyQSEQwkW60Wdnd3BYHzOq093aTRaCAej8NisfS0mmgQqFQqSKVScDqdfRN39Xo9Pv74Y6GVLxwOIxqNwu/3Y35+XvAbjEajaLfb8Pv9Q7MAzefzROzpAwzDIB6PI5FIgOM4WCwWSbzfdrsdJpMJR0dHUKlUKJfLfW2huqiSp1+t3ITewfuy8uf9sK7LOI5DtVoVKniUSqUwz9BqtaBpWlifEh8e8RncGfoIIZfLMTY2dmZ8c71eR6VSQSwWA03TMBgMcLlc0Ov1Ioy0d5RKJVQqFfj9/qG9eBLE4+joCK1WC4uLi5KYaCkUCqFFKhQKIZlMIpvNYnl5ua/CCp+aEgwG4ff7hbjng4MDcBwHhUIBh8MBn8/XtzH1CpfLJbQaDAsmkwkmkwnZbBZjY2NIpVLY2dlBq9WCwWDA4uIiXC6XaNfUdDoNiqJGXvApFArIZDKiRMSbzWZ8+umnSKVSePfuHQ4ODnB0dITZ2VlB4NXpdH0XBHvJ2NgYFArFUH3XpQbLsnj37h2azSY0Gg28Xq9k3m+KojA/P4/nz5/j7du38Pl8fW2huqySRwpzEMLtcLlc2NnZQTabHaprJ/DeciAajaJUKoFhGADvz9nOKmJSvSM9iOAzwHi9Xng8nhMKa7FYhNPpBPBefT06OhL8fwZZYU0kEgBIOxeh+zAMg729PahUqq4LF7ctFefL37PZLKrVqiD29Cspp91uQ6PRCClWr169QrlchsFggNPpBE3Twv8PA/yChOM4RKNROJ3Oga5cAoCJiQlEo1H88MMPwue5srIierS2SqWCUqlEsVgUbQwA+urXdR7FYhEymUzUkAa73Y4vv/wS0WgUm5ub2N7ext7eHgwGA+bm5kQbV7dgWRbRaBQTExPC5hih+/D3Jl7UUCqVsFqtktuoGx8fh8FgwPHxMQD0vYXqdCXPWT55w3JfHUV4wYdvqR5U2u224MPjdruF+RDfnjkqHSbDwGDPZAmgKAo6nQ46nQ7j4+NgWVb40lWrVWQyGWQyGQDvPR148WfQ2qLi8bgQ+0wgdJNwOIx6vY6lpaWuiijdTNvorPDjOA5bW1tQq9XweDxC60W36Yxe12g02Nvbw/Pnz6FUKvHZZ5/h7/ydvwOapodyUprP5xGPx1EoFAba0yeZTGJ9fR3lchlyuRzLy8uYmpqSTNKS0WhEOp1Gs9kULZBA7OoihmFQqVRgNptFnzBTFAW3243x8XEcHx9jc3MT+XweP/30E5aXlyXR7noTOj17VCqVKJVUw06z2UQkEkG5XMby8jJompb0+UJRFObm5oTvnhiJWPy98zyfPJLUNbiYzWaoVCrE43EsLy+LPZxr0Wm0XK1WhZ+bzWYhJfmjjz6SzDyCcDWGb6Y+4tA0LUwadTod7t69C7/fD6vVina7jWQyKexoAO9L8yqVCjiOE2vIl8L7h9jtdnKBIXQVjuOwu7srtFB1i9M9+izLdvW5NRoN8vk8AoEAIpGIUFbbzWPw49doNFheXkar1YJKpUIul4PBYIBcLh9KsQcALBYL3G43arUadnZ2JBEffh1arRZev36NH3/8EbVaDfPz8/iDP/gDzM7OSuoayostYlf5iEmpVAIgvvDUCU3T8Pv9+P3f/30sLi6i2WzixYsXePHihWRi7K/KaYNmIvZ0F5ZlEYvFEAgEkM1modFoun4/6hVerxdqtRqHh4eijfn0XKHdbiOVSvVk7kDoHxRFweVyoVwuo1wuiz2cC6lWq6hUKsK/w+Ew4vE4ms0mLBYLJicnsbq6eqJQQErzCMLVGMxtS8KVUSgUsFqtQklhrVZDq9USfh+Px5HNZiGTyYTqH4PBALVaLdaQP4C0cxF6RTQaRaVSwfz8fFdbHnuZtiGTyTA9PY1yuYxQKIR4PC4YKp/l83VTOsevVqvh8/mwv7+P+/fvw2AwDH3J+aCmdyWTSbx+/Rr1eh12ux0fffSR0CrEe75JpcScb6spFouiVW8GAgEAEG0Xlhe7pNRilMvloFKpoNVqMT8/D5/Ph7dv3yIajSKdTuPevXuSrt7gIWlcvSWfzyMUCqHZbAoVp4NUPU7TNGZnZ7GxsYHj42PBcLbfY+i81/KLbQBYXV0d6nvssONyuXB0dIREIiEpX9VmsylU8JRKJbTbbRiNRqF11+v1gqZpUVuMCd1H+rNXQlfRaDQnUkAcDgdUKhWKxSLy+bwQo+f1eoWkmn75hZwHiWMn9AK+uocXULpNr9M29Ho9FhYWkMlkEIlEUK1WuyL4dJaT379/Xxi/z+fD3bt3IZfLRyYytlP0CQaDmJ2dFXlE59NqtRAIBHB0dASZTIZ79+5hcnLyRJtQMBhEtVqFXq/vWSvgdZDL5fB6vSM9sbTZbFAqlZLZZGm1Wjg6OhJaACmKglqtxscff4xIJIK3b9/ixYsXmJiYwN27dyVxHp3H8fExEXt6SL1eB8Mw8Hg8cDgcorck3oTJyUns7Oxgb28Pk5OTotzX+LkCALx+/RoOhwM0TQ9FGMIoY7PZQNM04vE4ZmZmRBtH5xoum83i8PBQ+J1Wq4XNZjtRYSolcYrQPYjgM+Lw/j8TExNgGEbo3eR3GxmGwdra2gn/H71e37ebIsMwSCaTsFgskp5YEgaPVCqFQqGA6enpnp1bvf6eUBQFm80Gi8Ui/IxhGEQiEbhcrmv7opwVF9v5c97wdJQmoi6XCzRNS3rnOplM4s2bN6jVah9U9XTi8Xiwvb2NcDgs6gS0E35jYVTRarWSEryi0SgYhvkgEZOiKHg8HthstoGp9nG73VCr1WSzqEu0221Eo1GMj49DoVDA6XTCZrMNROXjecjlckxPT2NrawuRSEQ0E3d+rtCrymBC/5HL5XA4HEgkEn31qeM4DuVyWVjPVSoVrK6uQqlUQq/XCwIP35pPGA3IJ00QkMlkMJvNMJvNws8YhoHFYkGxWEQikUAikQBFUTAYDJidne35jg6/+CQTNkK32dnZAUVRkln43obOCrxcLodUKoVMJgOXy3WtFK3zWtFomobFYkEulxvJiWinKFEul6FWqyUxUbpKVU8ner1e+BxLpZJk2og4jkOr1RLNuFksWq2WkGgkBarVKtLpNAwGw4l5QCdnVfu43W6srq5KYlOGZVlUKhUYDAYoFAoyd+gCHMchmUwiFouBYRgolUq4XC5QFCWJ6+BtmZqawu7uLnZ3d+HxeEStVLosvYswWLhcLsTjcSSTyb5UGe7v76NYLAreT/y6jv+3UqnE5ORkz8dBkB6Df6Um9BSlUin0NVerVUExZhhGuClmMhkUCgVBMe7mpI+0cxF6QTabRSaTGcp2EpvNBoVCgXA4LOzCezyeE1VAF3FWK1owGEQul4PFYhnp1JBms4nd3V2oVCrRPX06q3psNhvu379/pXPZ4/GgUCggFAphcXFR9DYMjuPw9u1baDQazM/PizqWfhMOh5HP53H37l1JmGCGQiEAl0fVd1b7rK2tIRKJIJ1O4+7du6JW+/CePZVKBYuLiyfa1wk3o1AoCEmW/GLxqveSQYGf5+7t7SEej2N8fFzU8ZyX3kUYPJxOJ4D3a5luCj7NZlNYj+l0OmFTimVZIS7dYDBAq9WKfo8nSAMi+BCuDF96zl/AeGq1GnK5HHK5HABApVLBaDRibGzsVr2gHMchHo9Dq9VKZieaMBzs7u4CgGBSN2yYTCYYjUakUilEo1EcHBxgamrqyh4/nbuKnW1euVxupHcclUolxsfHRTVyPl3VwycxXnVSp1Qq4XQ6EYvFUCwWRW9VoygKWq0WpVJp5M6tYrEItVotCbGnUqmgXC7DbrdfWShRq9V4/PjxB9U+d+/e7Xu11mmDZiL23J5SqYS9vT0hYv061aKDxvT0NA4ODrC7uyu64AOc3V49rO/9MKNWq2E2m5FIJG59f6tWq8hkMigWi6jX68LPO+/9wzqnJdweIvgQbo3H44HL5RLU5mKxiFQqBbVaLQg+yWQSGo0Ger3+yguTYrGIWq2G6elpolATukalUkE8HofL5RpqIZGiKDgcDoyNjQk+WMB7weC8UnyWZfHs2TMEg0H4/X58/vnnPU0cG0TETO/K5XJ48eLFtat6TsOf+1I5/w0GA4rFIsrlct/jycUy4q5Wq2i325JJTNPpdFhYWLh2he551T6PHj3qW/IaSePqHgzDCG1bBoMBExMTQtXoMKPRaODxeHB8fCxUs4rNRffdURPHBxmXy4WtrS1kMhnY7fYr/Q3HcYIIz8856vU6ksmkkL7MV/EM+3eT0B2I4EPoCnK5HBaLRbhJNhoNYdey3W4LpeI0TUOv18NoNMJoNF64C0fi2Am9gE8o6EUylxSRy+Un2izC4TAKhQLGx8dPJKsEg0EkEgm8ePECRqMRBwcH+OSTTyCXy3ueODZonBZ9FhYWev7ehMNhvH79GgCuXdVzGpqmJSP2AIDRaEQkEkGpVOq74COW70ypVAKAvr/ei9DpdDf+W77aJxwO4+3bt3j27BlWV1d7HnXNpy0Ssed2cByHdDqNaDQKrVYrVApIodqlX0xPT+P4+BgHBwd4+PChaOM4LynzrN+TVi/pwws+iUTiQsGnXq8Lm+blchkMwwAAzGYz1Go1TCYTlpeXJZPoSBgsyOyd0BNUKpWw6y2TybCwsAC32w2dTodSqYRwOIzNzU3hgtZut9FsNk88RzqdBk3TXYmaJhCA9+fZ8fGxkFQwilgsFshkMoTDYQQCARQKBaF8nGVZ6PV6ZLNZtFothMNh4e+I2HMSl8sFt9sNs9nc0/eG4zi8e/cOr169glKpxOeff46pqamuVD1WKhVsbm6iVqt1YaQ3R6vVQi6Xo1gs9v3YjUYDjUaj78ctFougKEr0CNxms4nNzU1BgLoNFEXB6/Xiiy++gFarxdu3b7G2tiYYhvYCiqJgsViI2HMLSqUSNjc3cXx8DIqiRnbOZTKZYLVaEY1G0Wg0enrensfpVq7Lfi/GGAnXw2g0QqlUIp1On/h5q9VCq9UC8P4+v7W1hVAohGKxCI1Gg4mJCdy5c0fYlJDJZETsIdwYUuFD6DkURQnx7y6XCyzLolwuo16vC1VA6XQakUgEarUaRqMROp0O2WwWY2NjkvA3IAwH4XAYrVZLEma1YmE2m2E0GoXUlb29PRiNRpTLZfzyyy+o1WpQqVQYGxsj3gGX0Fl9yHEcGIbpantXq9XCL7/8gng8DrPZjMePH3fdm6RarSIcDove+28wGFCtVvveqrC3twcAWF5e7tsxgffis16vF/27FYlEUK1WwXFc157TaDTiyy+/xIsXLxAMBlEqlfDxxx93tZqKX+jSNH0iRY9wdTiOw+HhIXK5HCiKgsvlgsvlEm3OJYU2pampKWQyGfzwww8wm819r6K5rIWatFgPHhRFwWazCSEafCVPrVYThGq+NVahUECv15N1D6HrEMGH0HdomhZaunh0Oh2sViuKxSKSySQajYbQR04gdAOO43BwcAC5XH5pCs2wQ9M0XC4XrFarsODjzdGLxSLkcjlKpRIsFguZUF4B/txqNBpd8/SpVCp4/vw5SqUSPB4PPvroo65PAvnrLp+0KKaBs9/vH6lzbXFxUfTd+XK5jGw2K5i8dxOlUomnT59iY2MDh4eH+O677/D48eOunGO8Zw/w3qR0lM6bbsJvepjNZng8HtHaGwHptCmNj49DqVRic3MTDx8+FGXT47IWatJiPXjw362trS1oNBooFAqMjY2daK0e1apzQn8gVwuCJDAYDPD7/bh79y6Wl5eFXezOC+Dm5ib29vaQTCZPONQTCFchk8mgVCrB5/OJGqctJXizv2q1ikajAafTCYVCAZfLhc8++2xkfI5uC1/FWKvVsLOzg3a7favnS6VS+Pbbb1EqlbC8vIwHDx70bMfP7XaDpmmEQqGuVnlcl1FcvIj9mkOhkLCz3Atomsbdu3dx79491Go1fP/994hGo7d6zk6DZp1OJ/p7OGhks1ns7u4K3/WpqSnMzMyIKvZIqU2JpmlMT09DqVSiUCiIVkVz2THJeS9NGo0GUqkU9vf3sbGxIXzPeO8ehUKBpaUl3L17F1NTU6KnZBJGB7LqIUgOtVqNWq0Gmqbh8/kAvE+OoGkaxWIRhUIBwPsLp9FohMfjIQt4wqXwZs29NhEdJPiJNsMw0Gg0grCQTqdxcHAAh8MhKXNfKdON9C6+xWJjYwMymQyffPIJnE5nL4YroFAohKj5ZDLZ8+NdRD6fR7FYFK77w0okEoFGoxHVKyWTyaBarcLpdPbcF8Lv98NgMODnn3/GixcvsLCwgPn5+Wu31ZI0rptTqVQQCoVQqVQgl8tRr9eh0Wgk0dostTYlv9+PnZ0d6HQ6YopMuBSWZQXvnU4vUp1Oh3a7LWyiKZVK1Gq1rrdlEwhXgaySCZKDZdkP/HtkMhnu3LkDhmFQLpcFJ/tcLofJyUkA7yc0uVxOiBsWe9JAkA71eh2xWAx2u110k1Qp0TnRtlgsUKvVsNvtYBgGyWQSW1tbsFqtcLvdou4ADwq3EX1YlsXbt29xdHQEnU6HJ0+e9E1sczgcgvAnJsViEalUCk6nc2jPt3a7jXg8DovFIqrg0263oVQq+5bCZLVa8dVXX+H58+fY2tpCsVjE/fv3r/X9IGLP9Wm1WohEIshkMqAoCg6HAxMTE5LzCJFSm5JKpRJE8FKpRDY9CAIsy6JSqaBYLAqx6DRNo1AogKZp2O124eed37FOH59ms0nsKgh9hwg+BMmRz+fBMMyZ/awymQwmk0kog2y328IOVbFYRCKRQCKRENJPDAYDzGYzUdRHnOPjY3AcR3brzsDv9wuVPsD70mOapjE/Pw+FQoFcLgeapsl7d0V40SeVSl25NaHRaODnn39GNpuF3W7Ho0eP+johpGkaS0tLou/2G41GpFIpFIvFC+NrBxmpxLE7nU44HI6+fuZarRZffPEFfvnlF0SjUVQqFTx+/BharfbSv2VZFu12m4g91ySRSCCTycBoNMLr9Uo65UcKYg+P3+9HJBLB0dERVlZWxB4OQUTq9ToKhYIQl87f11mWFcTApaWlS8VrXvDJZDJ9E9oJBB4i+BAkBx9daLVaL31s5wV2fHwcZrMZxWIRpVJJ+F+z2RSqgIrFIlQq1dDuHhM+hOM4HB0dQaVSnUhVGnX4RJR2u4319XXs7u5CJpPhH/yDf4D79+8Lk+9SqSQsEjiOQz6fh8ViEXPoksflcsFut19pF71SqeDZs2eoVquYmZnB0tKSKAsffuHPL6zF2IHkJ8/9FHz6nc7FR8+LVTXQarVA0zRkMpkoAp9cLsfHH3+MnZ0dbG1t4bvvvsOnn356qQAml8uxsLAgucoUKZLP52E0GkHTNMbHx2EwGIbeK6TbCV9WqxV6vR7Hx8dYXFwk590I0Ww2UavVhO9MJpNBPB4XNpL50JlOofoqlYr8miadThPBh9B3iOBDkBzpdBo0Td9oUanRaKDRaOB0OsFxHMrl8okL8eHhobCY4S/aBoOBeAANMclkEtVqFfPz85LaQRQTPhGlVqshk8ng559/RqVSwcTEBDKZzIlqns6FaSqVQigUgk6ng9frhU6nE2H0gwG/QCiVSohEIpidnf3gOlMul/Hb3/4W9Xod9+7dE72KimVZBAIBKJVK3Llzp+/Hl8lk0Ol0KJVK4DhO9IqjXlAqlUTddDg+Pka5XMby8rJo9z2KonDnzh0YDAa8fPkSP/zwAz799FOYzeYTj2NZFnt7e7Db7bBYLGTRfQm1Wg2hUAilUgnj4+NC69awiz29SPiiKAp+vx8bGxuIRqMjn+w5zDAMg1KpJFhFNBoN0DSNe/fuv2r7KwABAABJREFUgaZp2Gw2GAwG6PX6W80hDQYDlEqlUE1NIPQTsvohSIqz/HtuCkVRMBgMQjsXx3GYnJyE3W4HRVGCMe3a2hpqtZrwGLGjcgndJRgMAoBQ5TXq8O1bzWYTBwcHSKfTsFgs0Ol0kMlkwmTnLKxWKxwOB6rVKra2tnB4eIhWq9XnVzBYVCoVVCqVD9K7isUifvjhBzQaDTx8+FB0sQd431JhMplQLpeRy+VEGYPRaATDMKhWq305Hj/J7weNRgONRkO0dq5isYh8Pi+ZTY6JiQk8efIEDMPgt7/9LbLZrPA73rOnVCqhUqmIOErp0263cXx8jHfv3qFUKsFms8HhcIg9rL7Qy4Qvr9cLmqaFOQRhOOic57daLbx58wb7+/tIpVLgOA42mw1+v1/YcFCpVELF3G3gfXwKhcIJc2cCoR+If8cnEDq4yL/ntlAUBbPZLOwiNptNoSeXb1kpFAo4PDwU/H9Ol20SBotarYZEIgGn00k+x/9Op1GzRqNBJpOBwWDA3NwcHA4HlErlueXxMpkMXq8XdrsdoVAI2WwW+Xwes7OzxNjyHM4ycubbuFqtFh49eoSJiQmRR/k7JiYmkM1mEQ6HYTKZ+l4VZzabQdM0FApFX44XCoUA9Ke1SyaTwePxiFIZx3EcwuEwaJqWlAeO0+nEJ598gufPn+PZs2d4+vQpLBYLMWi+ItVqFTs7O2AYBnq9Hl6vd6Tudb1M+FIqlXC73UICk9i+W2fR7Va2YaVWq52we/B6vbDZbFAoFLDb7dBoNDAajT2vvCQ+PgSxIIIPQVLw/j29EHxOo1QqYbPZThyLpmno9XqhvDMSiUAul8Nms8Htdvd8TITuEolEwHHc0Mc8Xxe/3y8somiaRqVSgcVigVKpvNKkWa1WY25uDoVCAYlEQlhgDGsbzm3pFH3evn2LWCwGlmXx+PFjyflKyeVyTExMIBQKIZFI9H1SqtVqh3bBKpfLRYu9T6fTqNVqGB8fl1xCjN1ux9OnT/Hjjz/ixx9/xMTEBDiOI2LPBfDXWo1GA51OB5vNNrLear1M+JqcnEQoFEIoFOq739dl9KKVbdiIx+NIJpNCJTLvw9NZ4djP+SG/3iA+PoR+QwQfgqTg/XtO9/L3C97Xh2VZlMtlQfjhOE54TCgUAsdxZ0YvEqRFOByGQqHo+SJrEHfZ5HI5LBYLNjc3YTAYoNPpcO/evWu1enQm5gHvBY1qtQqv10uS8U7hcrlQLpfx7t07UBSFJ0+eSLbtwm63I5VKIR6Pw2q1iiIQMAwDmqaHRkDkOA4Mw4jSStVutxGNRqFQKCQnMPJYrVZ8+umnePbsGUKhEObm5ojYcwb1eh3hcBhyuVxoO5mbmxN7WKLTq/vv2NgYNBoNwuGwaEmGZ80vTreySSXSXiwYhkG5XEaxWATDMCcEMLlcjrGxMRgMBiFGXSz0ej1UKhXx8SH0HSL4ECRDN/17bgtN04L4c7qyp1QqoVarIZVKAQB0Oh2MRiNsNpvkdk5HmWKxiEKhgMnJyZ6eT4O0y3Z64jg9PQ0AwvhvuxhlWRalUgnv3r2D3W7HxMSEJLxCpEChUMDOzg4oisInn3wi6dhxiqLg8/lQrVb71lrVSTabRTAYxMzMzNAYzvK+Vz6fr++fvUwmw8TEBBQKhaQXhWNjY/j888/x29/+FgcHB3A6nVdK6xwFGIZBLBZDMpkEx3EYGxsjFZV9gKIoeDwe7O7uIpPJ9KX6vJPz5he9bGUbFNrtNlKpFIrFIiqVirAxq1Qqhe+Gy+WSlMhNURSsViui0SiazSZZMxD6xuhdIQiSJZfL9cy/p5ssLS1hZWUFPp8PZrMZ9XpdaNEA3t+EEomEYARNEIdwOAwAPd0l7qVhZLcJBoN4/fq1YEDJj7WbE0Wfz4fFxUXo9XqkUilsbGwIC5RRplgs4tmzZ2AYBk+ePIHdbhc8VTqNnKWEwWCA0+kUZUGp0WjAcRxKpVLfj90r+NfC+8X1E4qiYLfbRaucvQyWZREKhcAwDMxmM54+fQoA+Omnn04YOY8q6XQaGxsbSCQS0Gg0uHPnDqampojY0yf4OQQ/p+gXl80v/H4/7t+/L/mNpm5Rr9eRTCbRaDSEn0WjUVSrVRiNRni9XiwvL2N1dVXS3w1+jUOqfAj9hGy9EiRDP/17botKpYLdbhcWbtVqVZjIF4tFYWKgUCgE82ej0SjKbvkowi+mNRpNT3eIB2WXrTOZi5845nI5WCwW5HI54ffdKAvXarW4c+cOcrkcwuEw0um0pKtZek25XBYMmh8/fiy0ceXzeSQSCRSLRczPz0u2EqrVaiGVSvXVWFqj0UChUPQlPatf8ejFYlHwiOsnsVhMtLa8q8CncfHhCXa7HWNjY/jkk0/w008/4ccff8Rnn30mWbGqH2QyGSEmnFQ89R+j0QiTyYRIJILV1dW+VaBfZX4h1TlHN2i320KKYqlUOpFs5XA4IJfLsbi4CI1GI2mB5zTEx4cgBsN7pSAMHJlMRlT/nptCUdSJ1BWz2YzZ2Vk4nU7I5XKhPeHg4EB4TKPRAMMwYgx3JMhms6jVanC73T2fCAzCLhtN06jVatjf30elUhF2DXnRRy6Xd12wslgsWF5exszMjPAZJBIJ1Ov1rh1D6lQqFfz2t79Fo9HAo0ePTpSWWywWuN1u1Gq1DyLbpUQymUQsFhME+X5hMBhQq9UEs81eMTs7i9nZ2Z4eg/eE0+v1fV2Y5PN5RKNRxGKxvh3zOnSKPU6n84QwbLPZ8PjxY7Asix9//LEv4p9UaDabJz6zqakpLC8vE7FHRDwej1C93U+uM7+QcoXxVWBZ9sT84OjoCIeHh8LawOFwYGZm5sT3QKvVDpTYA/zOx6ff91TCaCPNLUXCyCEl/57bQtP0CTPbVquFUql0YjF9dHSEcrks+P/wprmDduOSKnzUstfr7cvxpL7LxrIsNBoNZmZmkE6nkcvlQNM0VldX4ff7e2Y6TdO0UEHBm41GIhE4HA6Mj48P/Hf9IprNJn788UfU63U8ePDgzAqZsyLbpVbp43K5kE6nEYlEYLFY+vaZGY1GZLNZlEoljI2N9eWYvaJcLgtG//2iM4a9n9VZV+W02HNW663D4cDjx4+FyPavvvpqqM3gWZZFPB5HIpEAy7IwGAzQ6/WSrc66jEEMMzgPt9uNQCCAcDjc9+/TVd7DQfIS5OGr4/lwFL7Kb2lpCQCENlSDwTCw34GzID4+BDEYjisxYeAZFP+em6BQKDA2NnaicsliscBoNKJarSIajWJ7extra2tD5VkhFgzDIBqNCm10hN+VhvNigsvlgsPhEOJI+zEpV6vVuHPnDjQaDRKJBDY2NpBOp4fS34dlWbx8+RKVSgWrq6sXCo8ul0uo9Dk6OurjKK+GTCaD2+1Gu93ua6UI/93ttRdaKpUSDPh7Bf8a+nk9SiQSaDQaGB8fl2QrcSgUulDs4XE6nXjw4AEajQZ+/vnnoa2MzWazCAQCiMViUCqVmJub63v7Xzc57Rk36Gg0GthsNiQSiROtRVJgkLwEearVKtbW1rC1tYVIJIJKpQKDwXCiesdoNEq6HfU2EB8fQr+R1lYiYWThL3qjUrLc6f9TqVSEHmW+GqLRaGBnZ0fw/zEYDJKctEuRZDKJVqtFompP4fP54PP5cHx8jPX1dQDA8fFxX3cD9Xo9FhcXkclkEIlEcHR0hGq1KghPw0IgEEAqlcLk5CSmpqYufbzL5YJMJpNsIpXVakUqlUIymYTdbu+L741CocC9e/d6XvGUTCYBoKc+U3zaVL+qt1qtFmKxGFQqFZxOZ1+OeV3cbjfUavWVxufxeFAqlbCzs4M3b97gwYMHQ1UNy7fdyWQyeL1e2O32gX59wxoZ7vF4kE6nEY1GJVVFI2UvwXa7LVTwlEolTE1NQafTQaVSQa1WC3Pcfre7ig3x8SH0GyL4ECRBLpcDRVGwWCxiD6WvUBQFvV7/wU5eq9UCTdPIZDKCGKbRaGA2myVZni8l+HauXqZzSZnTZfQsyyIYDCKVSsHpdMLn8yGVSnXVqPm6WK1WmM1mxOPxE+06rVZr4IXNo6MjHBwcwGq14u7du1eexHYKDnxpu1TauyiKgtfrxfb2NtLpNNxud1+OK5XX3w36+Vqy2SxYloXH45HUIor3MjIajZDL5dcSoxYWFoRABKPROPCCfqvVglwuB0VRsNlsYBgG4+PjQ3HOS1mAuA0TExN4+/YtwuGwpASfdrsNv98vKWEtkUggm82iWq0KP1OpVIJXnUwmw8LCgljDEx29Xg+5XI58Pi/2UAgjwuDfWQhDQaFQgMFgGGpPj+ug1+uxvLyMZrMp7I4Ui0VUKhXhMel0Gu12GwaDYSCN63pBq9VCIpGAzWYbaq+H8zjdx8+X1f/N3/wNZDIZVlZW8E/+yT+B3W4XfTLOtwrxZLNZHB0dwel0wuVySWbieh0ymQzW1tag0Wjw8ccf3+g18NV9arVaUp4+er0ed+7c6WubCcMwyGQyUKlUkq1+uoxSqYRqtdrXCh+n0wmdTiepliDes6dSqWBhYQFarfZaf09RFB48eIDvv/8e7969g8FgOGGCPihwHIdEIoFYLAa32w2HwwGlUtk3v7l+ITUBohsoFAq4XC4hCvy653Av+OGHHxAMBuH3+/H5558LP++nfxLvw0NRlJBCWa1W0Ww2BfsCg8HQt0TEQYCiKJjNZuRyOXAcR+bvhJ4jjZkkYaRpNBqo1WpD6d9zW5RKJaxWq9Dq1ulfkMlkUC6XAbxfPPM3VbPZPPBVEjclGo0KO9ujxukyeo/Hg7W1Nfzyyy84OjqCzWZDPp8Hy7KSnIwrlUqoVCohEcrj8QyUWW+1WsWLFy9A0zSePHly48mtSqXCxMSEJI2cxRAQ+IqOQRV8+CrNflevSlHs4T17brpQVigUePLkCb799lu8evUKX3zxxUD5tOXzeYTDYTQaDahUqqFfAEvp/tItPB4PotEoIpGI6FVm7XYbwWAQjUYDwWAQn3zyCeRyec8NnNvtNvL5vLAZyVftqNVqQfDh5xdEyDgfs9mMdDqNUqk0UNcxwmAyfFdjwsDBlzQOWhy7GHRWQM3Pz2N+fh4ulwtqtRq5XA7Hx8eCCAS8b5WTatxzL5ByKk2v6TRm7qzcMZlMsFgs4DgO7XYb4XBYeLyU4P19fD4fOI7D4eEhtra2BiLGvd1u4+eff0aj0cCDBw9uLU50GjlLLbK91Wphd3dX8L7pJTKZDDqdDqVSaWDNvUulEtRqdV+MR7PZLLa2ttBoNHp+rKtylTSu66DT6fDxxx+DYRj8/PPPkjPQPYtms4nd3V3s7++j1WrB7XZjeXl5YEXMUcbpdEKhUAit42Iil8vh9/uhUqng8/kgl8t7YuDMMIywWQRACBjIZrNQKpVwOp2Ym5vD4uKi8DcymYyIPZfAf/8LhYLIIyGMAtLYNiSMNETwuRkURcFgMMBgMAD4nTleZ7rNwcEBAECr1QqpVTqdTnKL/W7QbDaRTqfhcrlGtsKps3InGAyCpmnMzMxgZmYG2WwWMpkMqVRKctU9PBRFwW63w2KxIBaLIZPJSL7Nk+M4vH79GoVCAQsLC10TG09Hti8sLEjiM5PJZKjX66hUKhgbG+t59ZHRaES5XEalUulJ1Uovd1br9Tqazaaw691LWJZFJBIBwzCS+c5wHNdVsYfHbrdjdXUVb9++xYsXL/D06VNJfDfOQyaToVarwWq1wu12j+z9aRjgN5SOjo5QLpdFr6T7/PPP4XK5UCgUhNau2/ondYaJdFoJzM/Pw2AwQK/XY2pqSvDiItwMfs2Tz+eHrqWTID3IN5UgOry6TUoab4dcLj/RNqBQKDA5OSmkI8TjccTjcSiVSqyurgLob593r0kkEgDQE18Hqb5PZ42Lpmlhl8/hcAiVP4FAAMD7xZIUX0sncrkcXq8XExMTwuI1lUqBYRjhNUmFnZ0dRKNRTExMYH5+vqvPzZ/LHMdJ5jXTNA23243Dw0NEo9GeJ6zxgnaxWOzJ4qqXE+1isQjgd6+hl8TjcTSbTXi9XskswiiKwtjYGHQ6XdfbbP1+P4rFIoLBIAKBgHBPkwIcxwnG+HwC3/LysmSEOMLtcLlcODo6QiKREF3wYVkWhULhRCLaTVq2O4Xira0twWxZJpPBbDbDaDRCrVYD+N33mnA7dDod5HI5qfAh9AVpzAoII00+n4fBYJDMJHVYkMvlsNlsgjdStVpFsVg80RoRiUSQzWaFaEyj0diX1oNeEI/HAXRf8Ol1P/xNuWhcp1NS/H6/8BipCAdXoXOBlE6nUa1WBX8fKVQExmIxbG1twWg04v79+z0pYe88n1mWBcuyol8rx8bGkEqlkEqlYLfbe2qQrtPpIJPJUCqVenaMXsEbmfZa8Gk2m0gkElCr1T2Nl78qLMuC4zjIZLKejYeiKKyurqJUKuHg4ABGoxGTk5M9OdZ14JPEarUaVCoVnE4nKIoiYs8QYbPZIJPJEI/HMTMzI+pYOu/1FotFuL9fdp9vtVrCZiAvpk9PTwP4XYqm0WgkgSA9hBg3E/oJWWETRIU3bCbljL1Hq9V+YJapVCqhVCqRy+WQy+UAvDeNlcqC+qowDINkMgmLxdJVI8zT/fBSaYW6yrhO7/JJYdy3YWFhAclkErFYDPv7+zAYDPB6vaKlsRWLRbx69QpKpRJPnjzpuQjDcZzgASIFI2ev14vNzU2EQqGuVzZ1QlGUUCXRC3gvjl7cg8xmMzQaTc8X++FwGCzLwuv1ir5o4D17OI7D/Px8T687NE3j448/xrfffou1tTXo9Xoh4KDfNBoNhMNh5PN50DSN8fFxuFwu0T8PQveRy+Ww2+1IJBJoNpuib5L5/X5hTkDT9IUbU6VSCaFQCLVaTfiZRqM5cR/tRwsq4T0mkwnpdBrlcrkvlaCE0WWwVwCEgYcvZRwkcWGYcDqdWFxcxL179zA1NQWbzXaifYTjOKFlpVwuS9Y4lRc/ul3dc54Rcje5ianieeM6/VyDLvJ0QlEUnE4nlpeXYbPZUCqVsLe3J8o5yTAMXrx4AZZl8fjx477E8/KVIlIxctZqtbDZbIJRaC9xuVw9qxThfSp6gdVq7bmBPF9Jw+/Ii0mnQbNer+/L9UelUuHJkyegaRovX75Eq9Xq+THP4uDgAPl8HhaLBcvLy5iYmBiq6y/hJC6XCxzH9cW8/jJYlkUgEEAgEMD6+jra7bbgwxOLxbCzsyMkvMpkMrTbbaHy9+7du1haWsL4+LjIr2I06fTxIRB6CanwIYgKMWyWBnK5HGNjYx/0ZTcaDVSrVZRKJcRiMdA0LbR/2e12yexe9qqdC/iwUqab3LRd7Kxo9WAwKLTYSKn1rNvw3lR2ux3tdls4B8vlMnQ6XV/Oya2tLZTLZSwsLPS1ouC0kbPYlT4+n6+v1wCpemmdRb/GSlEUJicnRRfju53GdR1MJhNWVlawtraGjY0N3L9/vy/HLZVKwq48XyEmtqcLoT84nU4A7+ce/TzXL4KiKOzt7eE//sf/CI1GI4yRpmnUajXo9XpotVrcvXtX5JESePi1T6FQIJ0OhJ4yGDMnwtDCCz5i70wSzkatVuPevXtC+pBWq0WxWEQikTix0M5kMqLtrHIch3g8Dq1W27OS2F5V9lwUn3pe1UQwGMTr16+FFC7+sevr68IOX68rLqQAnzwHvE9D2tnZwbt373pWrcGTzWaxt7cHk8mEubm5nh7rLKQU2c5fAziOE0w+e8Xe3h42Nzd7eoxusru7i62trZ4eo1arCUKPmOK7mGIPDy8CHx8fCwb+vaJcLmNzcxM7Ozsol8sA3gs9ROwZPG56r1Sr1TCbzUgkEqLdb9vtttAOtLq6ioWFBZTLZWxsbODo6AhOpxN37tzBRx99RM5NicIbN5MKH0KvIRU+BFEpFArEsFniUBQFnU4HnU6H8fFxsCyLRqMh/D6dTiOTyQB43wvOVwAZDIa+7HAXi0XUajVMT0+fWPRIvRrgtLFy51jPq/y5zLtHKhVX/UapVMLlciGRSGB3dxcmkwler7erfk7A+1au169fg6ZpPHjwQLTzi6/0SafTkhD3Dg4OUCwWsbKy0rPIaT7NRAqeGZfBMAwqlUpPNzIYhsHOzg7UajXu3LnTs+NcBZZlwTCMaGIP8P7a99FHH+Gbb77Bmzdv8PXXX3f9XGw2m0LQAd9iKpaHGOH23DaQweVyYWtrC5lMpi9m6SzLolwuC2bLe3t7KBQK8Hg8+NWvfgWPx4NwOIxCoQC73U7aCgcAiqJgMplQKBSIcTOhp5ArAUE0ms0mqtUqTCaT2EMhXAOapk9Mct1uN6ampmC1WtFut5FMJrG3t3dil7VzJ7rbnNXO1VkFI2X8fj/u379/oajTuaA/z7uHpmmsrq5iaWkJy8vLIzfJo2kaExMTWF5extjYGAqFAgKBQNf9FfhWrjt37ohelehyubC4uCgJ8cNqtYJlWUQikZ4dg3+/ByGti/c76+U5EovFBC8OsZHL5bhz547orS1arRbLy8uo1+vY2Njo6nNns1kEAgFks1mYTCYsLS3B4/GQ9K0B5bIK26vAzzn4OUi34TjuhLlyJpPB7u4uEokE6vU6OI6D3W6HWq0W0hsfPnyI5eVlrK6ujtw8YFAxm81ot9tCtSDh/8/eu8VGkuXpfV9ERt7v9zvJIllVJOvWrenZ3VkPLCx6sQsZqxZa1sL7YENarx5sGfaDXwzLgJ8Mv9iCHgwDtmEJAgRoLQtaST2QHiT1aldYz87uzKq7VV1VLBbJSjLv98zI+yUi/JBzTmeyeMlMRmZGkucHNLqbTEZGZp6MOOc7///3MRYBK6tgrAzm33M30Ov1E/4/3W4XoijS9ipZlvHmzZsJ/x+73Q6TyaTK8+dyOSqAkOfTYrLWVVw8t+sqf4CrPYVIUke1WkUikbjTPj5XYTAY8ODBA/j9fiSTSVV330krl8vlwu7urmrHvQ1ksVmv15HNZrG7u7uSakliGEx2uq1Wq+rPQcQTURRVFTkWkUhD2goXJfj0ej0UCgVqnL0KZFnG8fExfD4fPB6PZoSPzc1NZDIZnJ+fIxKJUB+T22I2m2mC5arFXsbtuek+Ow0OhwNmsxm5XA5Pnz5VpTqj1+vRqPRGo4HhcIjnz59Dr9fD6XQiFovBbrfDYrHA7XZfev4XX4vWq53vO+M+Piypi7Eo2BWAsTKY4HM3MZlMCAQCdLGtKApCoRBMJhPq9TrOz8+p1wxJjpiXTqeDWq2GYDA4Ue2y6GSt61Cjxeayyp9xLntNROy5zY7lXcFms2F/f59OnhqNBt68eTP3Dtp4K9fHH3+suclzp9NBq9VaqadPLBYDx3E05lxtBEGA2WxW3aPJ7/er3o4hiiL0er1qovZFkskkFEVZmckn8expNBoL926aFdLaJQgCvv7667m95drtNt6+fYtqtQpgJPgcHBwwsecOcdN99iY4jkMoFKLBFrdBURS8evWK+u9Uq1XaqkwwGAwIBoM0FfLi+ZPNrvF/r0u1832GdDkwHx/GImEVPoyVQSLZWUvX3Uan0yESiSASiUCSJLp71e/36a5wqVRCsVikFUDTRvqStrGL6VyLTNa6jtt6Aowz67lf3LFkfEen00Gn08Hbt2/h8XgQjUZnaoUirVz7+/uaXPBpIb3LbDbD7/ejUCigUql8kPinBg6HA4VCAb1eT3V/JrUYDofo9XoLef3ASEyq1+vweDwrMWLVgkHzTVgsFjx9+hRff/31zKldg8EAmUwGpVIJAAuUuOvcdo4QCoXw/v175HK5qcaKoigTPjwulwuhUAgcx8FiscBms9Eq6Gmu4Rcrey7OAdap2vm+YrPZqEcdg7EomODDWBm1Wo1e6Bj3A51OB5fL9UFVlyzL6Pf7yOfzNAHMZrPB7/fD7XZfebxcLgeO4y5ty1hFZc+qJ1dbW1vUuPGrr75SRXi6CwQCATidTiSTSVQqFVoVFgqFbvyMtNjKdRlaEH3C4TB4nl+YiB8KhRAOh1VtHzo+PgYA1T5bQRDw0Ucf3bp68SpsNhsikchKRN11EHsIGxsbM7V2KYqCQqGAbDYLSZJgt9sRj8eZKTPjWnw+HwRBQC6Xw6NHj658HEk3bTabtPpWp9NNVOI+ePDg1udzcbPrtm1rjMVDjJtrtRozbmYsDLbSZqwEYtis5QkjY3kEAgEEAgFaGi2KIprN5sTCMZ1Ow2g0wm63w2g0QpZllEoleDweTRjXquEJcB2X9eFf/FkikUCxWEQul0MgEGC7emMYjUbs7u5CFEUkk0nkcjl4PJ5r22603sp1kXHRp1arLd3fRRAERKPRhR5fbcYTB9WC5/mFjRWe5xEOhxdy7Jsg12Wtiz3Ad61dv//7vz9VatdwOEQmk4EgCNja2mKt5oyp4HkegUAAmUyGJgj2+300Gg20Wi1sbGwAGFWONRqNiQoei8WykMX9+LVnVdXOjNlwuVwol8totVorqdxk3H2Y4MNYCcy/h3EZFosFFosFwWBwYudLkiTk83ma9GU0GsFxHCRJWplp6WUsanJ1WavYxZ+N9+0TIYjt6n2Iw+HAwcEBWq0WFXtEUYQgCNQbgUBaudbJuyMUCsFuty/EOHlaJElCLpeD3+9XXYztdruo1WoIBAKaHNuktePiWLotw+EQuVwOoVBoZVWxLpcLe3t7Kx1bs2A2m2lr18uXL/Hn/tyfm/h9t9tFt9uFy+WCXq/Hw4cPYbFYNDmuGNrF6/Uik8ng7du34Hke3W6X/i4UCsFgMMDtdsPtdq+k8piNZ+0z7uPDBB/GImBXAcZKIL2qTPBhXMX4LrlOp8Pz58+xvb1NBR4SuU28Msiu2qLi36dlEZU9F+NjZVlGsVikPxsOh+B5Hm63G4VCgYo9rJ3rckjLIDBq5Tg7O8ObN29wdnZGTV6r1Spt5drZ2Vnl6c4MWZDLsoxkMrl0I+d2u41cLodUKqX6sWu1GtLpNFqtlurHvi2dTgfpdBqVSkX1Y2cyGeTz+aXH0pMxRFrU1kXsIWxsbCAQCCCZTNJ7hiRJSCaTeP36NRKJBN1cmNY7jqFNlhVUQHx4SHXg+JxEkiR4vV48ePAAz58/p4L3Iqv+roIZNq8P40ldDMYiYBU+jJWw6Nhaxt1DEAS6SwYAf/RHf0SFDWC0QE+lUuB5npZNk9jUdeayVrFEIoFcLgcAcLvd+Oabb9DpdGirWygUQrVaZbt7U8BxHHZ3d5FMJlEqlVCtVhEKhai3yzq0cl1FrVZDoVBAo9FYqqeP3W6Hy+VCtVpFo9FQNWqWHEsURc1F2JL7mtrn1el0UCwWYbPZrvU0U5txzx6j0biQCPtFQ1q7/vW//tf49ttv8fTpU2SzWQyHQ1itVsTj8bX9fjO+47IqWDXvf91uF6IoUrNlcp+NRqOw2+3Q6/XgOA7Pnz9X5fluixY8BRnTQ8RmtVMoGQwC+/YzVgKZQF7XU89gXIUsy6jVavB4PNTA1el0IhqNwmq1otFoIJVK4fXr1zg7O6N/tygj1UUzHr9KJnDE98hoNKLf7yORSNBKH9bONRtmsxmPHj3Czs4OBEHAyckJnSSvsyhNEsk6nc7SI9tJTHsqlVK16s5isUCn02lyYtxoNMBxnOqCD4m6X2YM+0WD5nUUewhmsxnb29toNBo4PDwEx3F48ODBWrWnMa7msirY21a3jM8V0uk0Xr16hWQyCVEUYbFYEIlEqPjKcRz8fj8ajQb6/b4aL0kVvF4vBEFgc4E1gFQdN5vNVZ8K447CKnwYS0dRFLRarbVeSDFWS7Va/cC/x2QyIRQKIRQKQZZlGn063g99eHgIADT+3W63q5r4s2jILman04HZbJ6IXt3a2oLBYMCzZ8/Ybt6cuFwu2O12/P7v/z54nsfe3h6A0eR/ncbJOKtK7zIajQgGg8jlciiXy6p5bXEcB4fDgWq1iuFweOvXopaIoigKNWVV87tXq9XQaDTg8/lU9wW6inVK47oJ8t19+PAhEokEWq0WfvCDH7DNpjuEGnHksiyj0WjQ0IjBYIAXL14AGFWiy7IMh8MBm8126b3A5/Mhk8mgXC6vzFSdMF7ttM4VqvcNq9VKUwLXdb7B0C5M8GEsnX6/j8FgwIzJGHNTKpUA4MpFJM/ztKWLoCgKrf4pFosoFovgOA4WiwUPHjyA0WhcyrnfxGVl6BfTt8xmM168eEEXu2RCy1q4bk82m0W73cbu7i7MZjMGgwFevXoFr9eLcDi8MsPc2zAu+pyfn2N7e3tpz1sul1UVfICRYEvaxW7b4qTWxgOJW1a7uqdcLkOn0yESiah63OtIpVJrL/YQ4/BCoYD9/X2YTCY8evQIr1+/xvn5+dr5cjGuZ9448uFwiNPTUzSbTVqJqNfr4XA46MLbbrff+L0m17dSqbRSweeyVi7GekDWRO12W3Ptyoz1Z/1mroy1h5QsslJqxryQRdAspt8cx9HeftKP32g00Gw26W5vq9VCNpulYtF1kd2L4CofAjKBA77bzRQEgQo8ZELLxJ7bIcsy3rx5A0EQ8PDhQwCjhaPJZEKhUEClUkEkEoHP51tInO4iCYVCM39nbguprFD7e+RwOODxeDRVpUFaJ0jailpsb2+j2+0u9bVGIhFaobWOlMtlpNNpDAYDmM1maub74MEDnJ6e4ujoCBsbG5oaP4wRt9m0uCmOvNfrUR8en88Hp9MJQRDQ6/Voxe+8vn82mw1GoxHlcnmuc1eLyzz/GOsBEXyazSYTfBiqwwQfxtIhgg+r8GHMgyzLqFQqcLvdc5e9mkwmmEymD3wpOp0ORFGkSQlkp8/lci18oXzVzhzP8+h0OkgkEtja2sL3vvc9atxMJnWshUsdEokE2u029vf3abqKyWTC3t4eKpUKUqkUzs/PUSwWsbGxsXbXML/fT/+70WjAbDYvvGJpfPGkKIoqQpnRaMSDBw9ufRwAePXqFQDgyZMntzqO2WxWNRWPvFccxy3FeJ60tJBF8DqKPe12G+fn52i1WhAEARsbGxPirCAIePz4Mb755hucnJzQlk2GNrhsw+M2EBPcarUKURQn/HWsVisVZ589e3br5+I4Dj6fD+l0Gv1+n94/VsFlYhdD+4wLPgyG2jDBh7F0SJzuui2WGNrgMv8etfD5fHC73dT/RxRFlMtlcBxHBZ9KpULLvNWcUF3cmTs/P0e5XIbb7YbZbMbOzg6dRI6LQy9fvkSxWITf72cx7LdgOBzi6OgIRqPx0pYnj8cDl8uFXC6HXC5H49vXkV6vh3fv3tE2l0WLPoqi4OzsDMPhELu7u6ofe9XVVos4h7OzM0iShAcPHix84Tbu2bPORsaSJKHdbiMYDCIcDl+6IbCxsYGTkxMcHx9rqpX3vqNGqhTx7uv3+3R+0Gg0UCqVYDQa4ff7F+rd5/V6kU6nNeHjw8Se9YNcd8kaicFQEyb4MJYOUa+XZUDJuFvc5N9zW3Q6HZxOJ+x2O+LxOAaDwUTKUCqVwmAwoKkKpAzcZDLdehJJduYA4KuvvsJwOES1WoXb7Ua1WqUl2rIsw+v1olgsAvhussx29ebn5OQEvV5vwhvpIjzPIxKJwO/303aQTqeDSqVCW6bWAaPRiEgksjQjZ47joCgK6vU66vW6Km1P7XYbJycnCIfDC7sWTEu9Xsf5+TkePHigSil+q9VCuVyGw+FYqtgTDAbXSuyRZRn5fB52u51ei58+fXptdQXP89jf38dPf/pTvH37VjMx2vedeVuR2u32RHs2aQnzer3gOA6BQAB+v38pFTda8fFhrCcGgwF6vZ5V+DAWAhN8GEun2WzSaF0GY1bm8e+ZletKyx8+fEiTPEiqx89+9jO43W7EYjFsbGxgMBjMvXN8menk1tYWZFmmcbPk59/73vdoJRDr158fUvFitVqnMrkc9/4gBuDlchnRaJSmxGidZad3RaNR1Go1pFIpOByOW1fEGAwG9Pt96sexSkiqj1qLymQyCY7jFh7Dvs5pXNVqFalUCv1+H263m1YMT/MZhMNhuFwuJBIJ7OzsrJXIdZeZphWp3+9Dp9NBp9Oh1+vhzZs3AEaiMjFXHr++LNOnSSs+Poz1hEWzMxYJE3wYS4VEsq96gs5YT9Tw75nmOa4rLTebzTAajQgEAjSKuVgsQhAElMtlOJ1OnJ6ewmAwUPNnu90+82J6fPIryzJ+/OMf4/T0FP1+H8+ePaPnxvr1b8/R0REkScL+/v7M72M8HofFYkE6nUYikUChUMDGxsZaLCIvij57e3sLG0cGgwGhUAiZTAbFYvED/6xZEQQBFosFjUZj5W1doijCYDCo0h5UqVTQarUQCAQWbhp/fHy8dmJPu91GKpVCo9GATqdDLBabeSxxHIeDgwP8+Mc/xuHhIb73ve8t6GwZs3Lx+iNJEt1gEUURvV4PW1tb8Hq9tFLRarXCZrOt/B6oJR8fxnpitVpRrVYxGAyYqTxDVZjgw1gqnU4Hsiwz/x7GXNRqtYX59xBuKi2/WP3jcDiwt7dHf2YymeD3+6l3AGlBc7vdM8dhE3PmfD6Pn/70p3A4HGg0GgDAKnpUot1uI5FIwOl0zhV9TSb5brcb2WwWhUIBh4eHePLkydJT3uaBiD4cxy18PAWDQZRKJWQyGXg8nltXFDkcDuRyOXQ6nZW1CPf7ffR6PVWuSbIsI5VKQRCEpbSEeL1eWCyWtRF7BoMBDg8PoSgKfD4fotHo3GPI7/cjEAgglUphd3dX9XQ1xu0hBvkEg8EAn883cV3VWuuUlnx8GOsHWRu1Wq2lJmoy7j5M8GEsFZbQxbgN1WoVwEg8WSRXVc1cVf1z8fGkLYi0nDQajYlJ6vv37zEcDmn5+VWL1eFwSCe8drsder0e3//+9/H973+fPpfaySb3jcPDQ8iyjIODg1tViZBqA5/Ph3q9Tj/vXq8HvV6vaXGOiD4AaOvgItq7eJ5HLBZDoVCAJEmqCT6iKM4t+NzWRFoURXout0WSJFgsFpqUtQhkWYaiKNDpdGvRfqgoCnq9HkwmE/R6PeLxOKxWqyoC3/7+PgqFAl6/fo0f/OAHKpwtYx5IOiap1nv48CGAUUKiy+WilbLrYLDt8XgAjDanmODDmJXxpC4m+DDUhAk+jKVCBJ91aHdgaI9arQYAS7kRXrZAv67657LHkx3Ji7v/iqLQJLB0Og1BEGC32xEOh2kEcyKRwMuXL5HP5xEMBvGrv/qriMViEwtBNZJN7jOkPcTn8926xYhgMpmo2KMoCo6PjyHLMmKx2MKFyttCznc4HC7M08ftdqv2PlitVvA8j0ajMSFazcJtF5HknqaGWbNer1c9xWwc4tkjyzIeP36s+WtFvV5HKpWCLMt48uQJeJ6H3+9X7fgulwuRSASZTEY1M3HGdPR6PWQyGTQaDZp4SHx4CIFAQLXr8rIg6Z1krsJgzAKLZmcsCib4MJYKi2Rn3IZarQaLxbLS3ng1PHO2t7chyzJarRb1JqhWq3RHsN/v4+XLl0gmkzCZTPD5fB+IPcD8ySaMEe/fv4eiKAtdZPv9fmQyGZyensJms1HPHy3CcRwcDsfSjJwbjcathBKe57G3t3er1rlerwdgfuFnc3MTgUDg1u/Tbd+Lm7ho0Kzla0W320UqlUK9XgfP83OLedOwu7tLv58ff/zxwp7nPiNJEt3gCAQCMBqN4HkelUoFZrMZHo+HGi5reVxOA8/zcDgcqNVqK/cWY6wfLJqdsSiY4MNYKs1mEzzP0yoGBmNahsMhms3mXD4raqPGpJTneTrJDYfDE2007XYbwGgxms1mkclk8ObNG/ziL/4injx5MnEcZto8H8PhEGdnZ7BarQvbRSaxwB6Ph5oVv3nzBn6/f6o0sFWwrPSufD6PVCqFnZ2dW1Xs3fZecnx8DAAffK+mheO4Wwt4jUYDR0dHCIVCiEajtzrWZaxTGlcmk0Eul4OiKPB4PIjFYgs1LyUVZ6lUCgcHB2vRNrQOjG9mtFotKIoC4LvQA71ejxcvXixUUF4VLpcLtVoN3W6XzXUZMyEIAkwmE6vwYagOWyEwlkqz2YTNZmO7HoyZqdfrAHDnyu4TiQS++uorpFIp+jOHw4Ff+7Vfw2/91m/h448/RqlUwk9+8hP8wR/8AWRZBjCaUHc6HQDqCFD3jVQqhcFggO3t7YVfjwRBwMbGBg4ODtZiF5sID51OB0dHRxgOh6o/h9frhU6nQzKZpGN6XhqNBr0+LBOSHkQWs/OgKAqNYV+EGf06iT3A6FpmsViwt7eHBw8eLCWpZmdnB7IsI5FILPy57irdbndikUo2KjqdDhwOB+LxOJ48eTIxxu+i2AN813LO2roY80Ci2W9zX2EwLnI3r7YMTSJJEtrtNjOyY8zFMv17lsVlHjzn5+cTJsw+nw8cx8HpdE5MljOZDERRhF6vp+bPDoeDRXlOgaIoOD09hSAIiMfjS3tes9mMR48e0YmcJEk4Pj5GKBTSnJBJKn3K5fJCJp4kiSqVSqFQKNyqbef09BQGg2Hp72Eul0Oj0cBHH300t2hYLpfR6XQQCoUWUl2iKApkWdas2NNoNJDJZLC9vQ29Xo9gMLjQFq7LCIfDMJlMSCQSePjwoeYFWS0wGAyo4NloNNDv92GxWLC/vw9g9J6GQiFYrdZ7t8FHrkPzGjfLsqz6GFzEMRmLwWazoVQqUbN6BkMNmODDWBqkTYX59zDmQWuCjxoTKJ7n4Xa7Ua1WaWLOuAAUi8VgtVrxwx/+EK1WayKdKxgMwmw2QxRFVCoVVCoVACN/IGKKyyZ5l1MsFtFoNLCzs7MSgYwsgNrtNtrtNo6Pj+kuuJYmeKFQCIFAYGFjKBAIoFQqIZvNwuv1zv1ZOBwOVCoVDIfDpVUNyLJMfXfmfX8kSUI6nYZer1+YyKHT6TRp0Nzv95FKpVCtVsFxHJrNJtxu90rEAZ7n8eDBA7x58waZTEaTwtiqGb+XiKKId+/e0d+ZTCYEAoGJpLr7HMzhcDjmNm5eROomS/JcL8Z9fLQ0H2CsN0zwYSwNFsnOuA31en3lhs0EtSZQiUQC1WoVbrebHmfchFkQBHi9XsiyDK/Xi+3tbfq3pKIHmNxtJZOFfr+Pb7/9FlarlVYA3cfd1st4//49AODBgwcrPQ+73Y6nT58inU6jXC7j9evX8Pv9iEQi0Ol0Kz03Alnk1Wo15HI57O7uqiaqcByHWCyG4+NjpNPpub9LdrsdlUoFoijSWORFQ0rub2O0nMvlMBwOsbW1pernLcsyjo+P4fV6NWfmLssycrkc9elxuVyIxWIr987Z2trC27dvcXp6ygQfjCrD2u02va80m03s7e3BYrHAarXC4/HA4XDAbrdr4p6sJYhxc71en8m4eRGpmyzJc/0YT+oiG4EMxm1hgg9jabCELsa8DIdDNBoNTbQDqjWBGj9OtVqlO6hbW1tXJnJdhV6vh8fjmVjsyrIMp9OJRqOBZrOJbDYLnU4Hh8MxIRzdNzqdDo2618IutF6vx9bWFvx+P5LJJAqFAoxGo+biiLvdLlqtlupGzk6n89aR9UT4bDQaSxN8Go3GxHPPQzAYhE6nU3VSP+7Zo8U0uFqthmw2C7PZjHg8vtBkslkwGAyIRqNIJpMQRfFWn+u6c35+jkqlAkmSAHwnYJDWTp1Ot3KxXOvMY9y8iNTNq47Jqn+1C4tmZywCJvgwlga5eGlhkcVYL4ghqxbaudSalJHjFIvFieOQ6iFS9VMul6k4NIu4ZDKZsLOzA0VR0Gq16E7tuEFuoVBAu92mO7X3wf/n/PwciqJgc3Nz1acygdVqxd7eHqrVKh3n/X4fvV5PE4viRaZ3BYPBW/29wWCAyWSCKIoz/+286VyiKEIQhFuJKoIgqNrKpVWD5larBZ1OB5PJBI/HA47j4HK5NFdtuLm5iWQyibOzMzx79mzVp7NwyEaKKIowGAx0Q0WSJJhMJnpfYEEbszPu4zNLUtciUjcvHpO1eGkbi8VC21wZDLVggg9jaXQ6HfA8z8p/GTOjNf+eRUWhE2Hn/Pwcb968AYBbi0scx8Fms8Fms31QIdVqtVCpVFAulwGMTIUdDge8Xu+djJNVFAXn5+cwGo23FhkWxXilSyaToeJfNBpdedvLIkUfRVFQLBah1+vnqvbxeDwYDAZL27m+zSKYRFUHg0HVzlWLYs9gMKDtik6nE7u7uwBwq2quReLxeGCz2ZBMJnFwcKCZtko16fV6KJVKEEWR+ioCk5Vqq6reuUtVJ+NJXbNWJi/iPRiv7GEtXtqG53kYjUZ0u91VnwrjDsEEH8bSII7zbKeIMStajGSfd5JEJrVk4nWxesftduPNmzewWCyoVqv4+OOPFzYpe/DgAaLR6ETaSj6fh9VqpYJPPp+HzWaju07rTLFYRLvdXpsknnA4DFmWUa1WUavVEAwGEQ6HV3ru46JPvV5XrR1JlmVks1maSDfra5y33ZNUBc3awjNvuhuJYe/3+/B6vaptgJDWTS2IPbIso1AoIJvNQpZlOByOlZ/TNHAch62tLXz77bfIZDJLTfBbFMSHJxAIgOM49Pt95HI5CIIAt9tNq3hWLSbftaoTYtxM5i5aYRFtYwz1MZlMTPBhqAoTfBhLo9vtsnYuxlyQsuhVT0pvy8VJLZl4ud1uOvHa3t5GKpXC+fk5rYpbJAaDgZq7AqNKPLII7XQ6SKVSAEa+DePx7+v4WZydnQGA5tq5rsJoNGJ7exuNRgPJZBK5XA7lchl7e3srrZQMhUKw2+2qXs91Oh0ikQjOz8+RzWYRjUZVO/Z1JJNJAPO3ds1KoVBAt9tFJBJR9TN0Op3Y29tb+T1WkiS8efMGvV4PRqMR8XhcU0L9TcRiMbx+/RpnZ2drKfj0+32IokgF/OFwCGDUJkLas/b39zXl73QXq054nofdbketVpvJuHkZLKpCmaEeJpNpZtNvBuM62LedsRRkWaYVPgzGLEiShEajodlFw7gnzk2PG5/UyrKMra0tGsueSCTo46xWK3Z2dmA2m6c+vlqYzWbaymAymfDo0SOEw2GYTCbUajXabkYMPAeDAV1UaJler4dsNgu/37/yRfGs2O127O/vY2NjAzabjQoF5DNYBeQ9lGUZ5+fnqowBn88Hs9mMfD6PXq83899ns1l8++23C39f3rx5Q4WiWRgOh8hmszAYDKq0FF5871c5rscNfe12O2KxGJ48eaLZ6/ZVGI1GhMNhlMvltfDQkCQJ/X6f/v/R0RHOzs5QrVbpOHv48CEdGxzHaUrsAb6rOiGplHdFiHC5XOj1enNdyxbNXXmP7yomkwmKomhy7DDWE1bhw1gK5KK1jlUBjNVCfAa0YFx7kVnK0C8rpSbtOkQEIulcWim55jgOdrsddrsdkUiEim+DwYDuOuVyORQKBVgslgmTT61NKLPZLBRFwcbGxqpPZS44joPf74ff76c/e/fuHU0XWpXhdq1WQ7FYRLPZvLWnD8dxiMfjODo6QiqVws7Ozkx/TybI7XZ7YeLHbY6fTqchSRI2NzdViVsmnj2r9KQaDofIZDJotVrY29sDx3FrU0F3FRsbG0in08hkMnj06NGqT2cCYsJPqnharRY8Hg/13QmHw+A4Dg6HQzV/rWVwF6tOSNpSq9XS5GbnXfJMumuQ8cI2yhlqsT53A8ZaQ3pR2YWLMStaTXebpwz94qR2XATqdDr45ptvqHikxcmvTqf7wDjbbrdjMBig0Wggl8shl8uB53nEYrEJcWLV5HI5cBynWbPmWZEkCRzHoVwuo1qtIhwOIxAILH3MeDwe9Pt91Yyc7XY73G43ms0mhsPhTMdyOBzIZrMQRXFh14t5PX9kWUaj0YDNZru1afFFg+ZVjGlisp3JZCBJEmw2G4bD4Z1I+vP5fBAEAblcTlOCT6VSwdnZGa36JNfj8SoqtTy1VoHW7ne3ZTxeWwufy7jAc9c8k+4aZHO82+2uXZUkQ5swwYexFJjgw5iXVqsF4LvJk1aY1vzw4i7axcdtbW0hFovhm2++WUsPA5fLRUWgdrtNvSPIhEVRFLx69YpWADkcjqX7zwyHQxSLRXi93juxIAVGi72HDx+iXq8jmUwinU6jWCwiHo8vPc1O7fSueDwOnudnTkmyWq3geR6iKM5t4nwTRPCZteKQ53kcHBzcuvVNC2lcoigimUyi2+3CYDBgc3NTs8lb88DzPAKBADKZDLrd7tLnLYPBgFbwNJtNmhhmMpkmrqN3wUj/LjMu+KyacYFnY2Pjznkm3TXINYcZNzPUggk+jKVAWrqY4MOYFTJZ0prgA9xchj7tLpqW2rhug8VigcVioQIAMFq86HQ6VKtVVKtVAKPdK5Lcs4zXWiwWIcvyxHndFZxOJxwOB01FqlarSxd8gEnR5/z8HNvb23Mfa1yUm6XtgLQgiqI49d/N0masKAoajQasVutMYhQ5F57nby12ptPpladx1et19Pt9RCIRVaPltUQoFEImk0E+n19ai1oymYQoihOLPLPZTK+hFosFjx8/Xsq5MG4PEeRWLfhcVo18F+Ybdxkm+DDUhgk+jKXAKnwY89JsNqHX61eaSnQd11X2zLKLptU2rttiMBiwv7+P4XBI499FUUStVqN+OmQnm/j/qL1rncvlAOBOCj4AaKua1+ul5rmKoiCbzSIQCCzNyyMUCkEQBNVK0Ik/1JMnT6YWWBwOB+r1+tRG77u7u1OfT7vdhiRJM7VzybKM169fw+12q5I8FolEYDQaEQgEbn2saZEkCfl8HqFQCDzPU6FHq9dkNQgGg+A4DrlcTnXBR1EUWg1pNpupQNtoNCBJErxeL/VDuysVifcRnudhsVholfIqz+NiIuhdnW/cFZjgw1AbJvgwlgK5aDHTZsasNJtNWK3WtStdn6fl6y5PvgRBgNvtpq0f460txPg3m83SOFu73Q6Xy3Xra4aiKMjn86rHiGuRcWGnWq0im82iUCggEonA7/cv5Tvk8/nof4uiCIvFMrfgpNfrMRgMkMlkpo7IdrvdsNlsMJvNcz3ndVitVtpeMy0kcew2opssyxBFES6XCzqdbmlij6IoKJfLSKfT1E8pEAhAp9PN3G63bhgMBng8HhSLRUiSdOvX2+/3UavV0Gg0qLADjMYrEXxu2wrJmJ1FGxfbbDYUi8WVx2tvbW3RkIhEIoGtra07Pd9Yd8i8h6V0MdSC3VkYS6Hb7YLjuDu9I8hQn8FggF6vpynz36u4bOJIdtGu4j4bJ44vbOLxOLxeL/X/EUUR9XodkiQhEokAAN0Nn3XHu1qtotfrrW0617x4PB5wHIdUKoVkMkn9fWY1G56XbreL4+NjmEymuReyXq8XxWIRxWIRfr9/qgpRvV4/0xgpFosAMPU1ZhYhaTAYIJfLwWQyzS3SjHv27O3tLU20bDabSCaTaLfbEAQBm5ubE2LefSAUCqFcLqNYLM5cHTgcDtFqtWiVWa1WQzKZBMdxsFqtsNvtcDgcE58nE3uWyzLuv1arFfl8fqHJgdNwMRGUVfdoG47jYDQaWYUPQzXY3YWxFIjx4bpVaTBWi1YNmy9y3cTx/Pz80t9d1vIF3O0qn6sgiyCr1YpwOEwTjcgCX5ZlHB8fQ1EUmEwmalpqs9lu3Hm/6+1c1+F2u+F0OpHP55HL5fDu3TtsbW0tJTHGZDIhEonc2sg5Ho/j8PAQyWQSDx8+nOpvJEmiiVg3PWehUABws+AjyzLq9TrsdvvUryOVSkGWZcRisbnufRcNmpe1YKzX6zg+PqatguFw+M5X9FxGKBTCq1evkMvlbrx+yLKMZrNJW1Y7nQ4A4Pnz59Dr9XC5XDAYDLDb7ffyvdQSJOVsGcbF49HsqxR8pq04ZmgHk8nEBB+GajDBh7EUer3eQkrsGXcbLRs2E67z6rnudzzPw+12o1qtwuv1XikM3Ud4nv/Af2Vra4supgqFAgqFAjiOw/PnzyEIAmRZBsdxHyysc7kcjEbjnUoRmgWe5xEOh+H1epHL5Wj7CGkpWeTiU430LqvVShcq9Xp9Kl+eWq1G2xbUErcajQZOT08Ri8WmikFvtVqoVCpwOp1zeRotO41LlmXIsgxBEOBwOOD3+xEMBu91G7bNZoPNZkMul/ugJUdRFCiKAp7nIcsyvvnmGyokCIIAj8cDh8NBr/cGg4FVOGuA8c2ZZQgg40ldy/TduoyrfHsW3dbGmA+TyYRGo7HydkDG3YAJPoyFoygKer3eSpJjGOsNqfCZd2dsGROZ63bOrvtdIpFAtVqF0+nExsYGvvrqK1ZufQU8z8Pj8cDj8QAYVQySXXQiIFQqFaRSKer/43A4aKXHxsbGvZ8wGQyGiba2bDaLcrmMaDQKr9e7sPdnXPR59+4d9vb2Zn6uaDSKbrc7k3EzMBJp1BR8xo99E6RqbV6h5vj4eGliT6VSQTqdht1ux9bWFjiOu3ctkFcRCoVwfHyMWq0Gi8VC204bjQaCwSA1svb7/dDr9XA4HGxzS6Nc3ID5+OOPF36v1VI0O/BhBfF9bivXOiaTCbIsYzAYMLGYcWuY4MNYOL1ej7ZiMBizcJsKn2VOZK5LvLj4u/Fy8vPzc7RarUuFIbbrdjUmk+mD64lOp4PZbEa9XketVgMA2lZxH9u5bsJsNoPjOJydnVF/n0VV0pH3n+f5uYQlvV6Pvb29mR5vNpshiuLMz3UVoijS406DxWKZ6Zwv4vP5YLFYFir2tNttJJNJNJtN6HS6O29qPg9E8Hn58uXE+2O1Wieq1RYtyjFuzyramkwmE3Q6nWYEn3FmTRJlLJfxpC4m+DBuCxN8GAuHRbIz5qXZbMJkMs3cBrKKicw0ZdLjIpTb7cabN29gtVpRrVYndhvZrtvskAQwUtXTaDTw5s0bcBxH/VkSiQRtWbHZbPd6cuv1euFyuZDL5ZDP5/H27Vu43W5sbm4upM1rXHSTJAmKoszl6TPtNcFut6NQKKDT6dy64mIwGKDT6dAKs+uQJAmtVmsuc+zxtqrxija1kWWZtpByHIdAIIBwOHzvTYMVRaE+PN1uFzs7O/B4PBAEAa1WC1tbW7SC8L6/V+vCxfvwsuPISaXfqqPZL4P5+mgb0k7b7XaXFrbAuLuwOxZj4ZBYQSb4MGaBTL7naQVc9URmXLABRtU8xK9nvJwcAPXwIedIfs923eZDp9PB5XLBarXiq6++QiAQoB4/oihiMBggn8+D4zjYbDY4HA74fL57uYDT6XSIRqPw+XxIpVLodrsLH2uKouD4+BiSJM3s6dNqtfD27Vv4fD5sbm5e+1iHw4FCoYBGo3Gt4DPNRHqWdq5cLodcLofd3d2ZvHuIZ48kSXj8+PFCvZV4nkev14Pdbkc8Hr/XLUiyLKNYLEIURTSbTVqBqdPpaBR9OBxGMpmkVVeM9eCqjZNl309tNhsymQwkSdKcYfeyBTDG9IxX+DAYt+X+zXAZS4dV+DDmYTgcYjgczj3BXtVEZry6iEQ+k0jUcZNmnuexvb1NFxXAdxNUUpXAdt3mp1QqQVEUarDL8zyeP3+OTqdDzZ+bzSYajQaNm+71ehBFEQ6H416Z1RqNRuzs7ECSJNpylUwmYbVaVa8y4TgOTqdzLiNnEmddKpXg9/uvvTbY7XZYLJYbF1jxeHyqc7ZarTcKPr1eD/l8HmazeaYd2YsGzYtYFNZqNdTrdSqU7e7uam7xuQz6/T4ajQYsFgtta8xkMlAUhQrAxIeHfBeCwSCSySSKxeKNQiNDG2ipXYlcpzqdjiYDKNgcQ5swwYehJkzwYSwcJvgw5kGNcbOKiczF6iIAE7uM4yXm4zuQGxsbdIJqNpvx4sWLe1l1ohbEx+diOpfZbIbZbEYwGISiKGi32/R9rtVqSKVSAEYiCDF/vi8tHEQAGA6HqFQqKBQK1N9HzcqG26R3xeNxvH79GslkEo8fP77ycTzPY39//9bnWqlU0Gq1EAgEoNfrr31sKpWCoiiIx+NTexUtOo2r0+kglUpBFEXwPI9QKASj0XhvxB7S4knMlsl9JRQKIRqNguM4PH78GCaT6cr7BbmG1Go1JvisCauu8h1nfOGuRcGHoU2Y4MNQk7s/g2WsHHKxuk875ozbs85C4Xh1kSzLH8SxA5fvQI5PUO+DwLBI6vU6eJ6/ttKCVG4QfD4fDAYDXSCWSiWUSiW4XC7s7OwAGFVx6PX6O70rKggCnjx5gmw2i2KxiDdv3sDr9SIajd4oekzLvKKP2WyG3+9HsVikVXO3IZlMAviw0udnP/sZvvzySxwfH9MqvN3dXXz66af45JNPPjhOo9FArVaD2+2G3W6f6rkXKfYMh0P6+SmKovrnp1VIKii5b6TTaVppaTAY4PV6aRUP4SYx02w2w2AwUBGZsR5opV2JLdwZ80DWTMQWg8G4DWxFwVg45GLFBB/GLKy7UHjRfPmyiefFHUitTFDXHUVRUKvVYLfbZ3ovdTodNX8GRteuRqMxkZBxfHyMfr9P2z9I69BdQxAExONx6u9TLpchSRIVvtSAiD6VSmWmv4tEIjRK3OVyXVlNMxwOkUgkYLPZrkxquyzJ6/d+7/fwox/9CPl8nrYGCoKAdDqNw8NDfPbZZ/j8888n/iaVSoHjuJlEG0VRaNuh2pU96XQapVIJVqsV8Xj8Tidwdbtd2qbZaDTA8zxevHgBAPB4PDCZTHA4HHNvHnAcB5fLhVKpxNIT1wwtfFZk3K164c7G7nrB8zwMBsPKxw3jbsAEH8bCIbuj88TxMu4v61zhA0xW8Lx8+RLFYhF+vx9bW1s4PT2lXj4ff/zxxCSMTchuT7fbRa/Xu3Ucu9Fo/EBw9Hq9dGFJxAJBEPDo0aM7aX5rNpvx8OFD1Gq1ie9io9GYupLlOkKhEAKBAB33iqLceK8QBAFbW1swGo3XPpbEIQ+Hw6nHws9+9jP86Ec/wsnJCU0tk2UZDocDlUoFJycn+OKLLxCPxycqfba3t9FqtaaKzyWvUafT4dGjR6p95xuNBmw2GziOQzgcht1uX1jSlxbo9/s4PDzEYDAAMOm1RBa3NptNlTYap9NJTcBnMeNmMMbTllYFS/5cT/R6Pb2+MRi3gQk+jIUzbkrLYEzLugg+V+2aEQ+BfD5PH0cEoJ/85CewWq203YuhLqT1Yp6Et5sIhUIIhUKQZZlGODcaDTqpbzabODs7m/D/uQt+KePvZaVSwfv371VLeSLfn2q1ilwuh4cPH954z5jms+U4Dna7HbVabeqEnC+//BL5fB5utxuhUAjlchl6vR5GoxHhcBgAkM/n8eWXX04IPpeJg5dB2rg8Hg/8fr8qYk+v10MqlUKtVkM8HkcgEIDBYLgzYo8syxM+PJFIBC6Xi34ubrcbDocDNpttYd81Mt5qtRoTfBgzseqWLi0ZWDNmg6QFMhi3ha3CGQuHCT6MeViHVsDrds1IvC/P83C73RAEgaZ0Wa1WJBIJ8DxPq34Y6lGv1wEsRvAhEH+gix5Bw+GQRj0T7xCSdhUIBBZ2PsvEbrfD5/OhVCrh9evX8Pv9iEQit77O93o9tNvtmTx9qtUqWq3WlS1RDocDtVoNjUbjxvFQqVRwfHyMer2Ovb09DIdDKIoy4Xvj8/lweHiI4+NjVCoV6ulEkt6uY9yzR40WK0mSkMvlkM/noSgK3G73Qsf8simVSiiXy2i1WlAUBcBox1uSJACghsvLYFzwYcbNjFkQBAGCIKxM8LnOwJq1eWkbQRBYSxdDFdgqnLFwhsOhphftDG3S7XZhMBg0Wx1Bdssu2zVLJBIoFovI5XIIBAITqVuJRILu2JAKArbjpi61Wo1Wdywbl8sFl8uFbrc7UZXQbrfpYwqFAoCRcLKObWB6vR6bm5vw+/00rrpSqWB7e3umOPKLzGPkXC6XUa/X4XK5Lm3dIWNAFMUbxZBWq4XhcAidTge9Xo9WqwUAE21aer2e7rqWy2Ua8X2T4KO2QXOr1cLJyQkGgwEsFgvi8fhaJwD1ej2IoghJkug46Ha7aLfbVFhd5feFGDcTMZnBmAWTybTSlq7L/AFZm5f2EQSBVfgwVIEJPoyFMxwO77RhJGMxdLtdzQqFZKLU6XRgNpsnds1I+fR4hQ9J3SI/y+VyKJfLEAQBz549Y2KPytRqNTgcjpWKhSaTCSaTCX6/H4qi0KoEYCT4kF07vV5PF7NOp3OtqiEtFgseP36MSqWCbDarymJ8VtEnFotBFEUkk8lLY9hNJhNNXruM8aorq9UKQRAgSRIGgwEGgwE4jpt4/sFgAEmSIAgCarUaeJ7/IOHrIotI4zKZTBAEAZFIBF6vd+088iRJQr1ep6Jov98HMGphCAaD1IeIRKevGo7j4HQ66bWdXbMZs2AymVYuFl6s7GFtXtqH3I+m8bZjMK5jfWaWjLWFtXQx5qHb7WrSg2J8ojReuUMYL59+9uwZnUglEgnk83nkcjlUq1Xo9XoEAgHm4aMynU5HFcNmNbkoGhwcHExU/5TLZZTLZTx+/Bg2m416lsyaMrYqPB7PxHc1n8+j2WwiFovNJdqOiz6iKF57HTCZTAgEAsjn83S3+iJbW1tXxpH7/f6J17G7u0sTrgKBACRJmphol0olOJ1OxGIx+l2/aUOj2Wyi1WrdSuzp9/tIp9MwGAyIRqPQ6XQ4ODiY61irgHheWSwWCIKAwWCA9+/fAwAVRonwSd5vrVV3ulwuFItFZtzMmBmj0UjFYi2M6+vavBjagcwbhsPhlfcwBmMa2CqcsVCIMs0EH8YskImRFg2bL06ULhvbF8unZVnGy5cvabS1z+cDz/MIBoNsoqUyZBdVywsynufhdDrpOQ4GA4iiSIWDZrOJ4+PjidQhh8MBi8WyFrt83W4XtVoN9XodwWAQoVBo5kVOKBSir/kmwuEwyuUyjWm/+FyztPZ9+umnODw8xMnJCQDQVq3BYIBSqYRqtYrt7W08fvwYPM8jGo3eeEyHw4G9vb2pXstFZFmmQrEsy3C73TMfY1W0220al95sNqEoCh48eECj0h88eACbzTZVspkWYMbNjHkZN27WSsX7ZW1eDG3BBB+GWrBVOGOhkDYGJvgwZoG0u2hR8AEmJ0pXlfdf9nOO4xAIBPAX/sJfAM/zbKK1ABaZ0LUo9Hr9RGWK2WxGPB6nFUDNZhOZTAZWqxV7e3sAtG22ubm5Ca/Xi2QySdsXI5HIVMbG4xCBRJIkpFIpRKPRS+8lOp0O0WgUyWQS7Xb7UoFnMBig1+t94HNzfHwMANjd3QUAfPLJJ/jss8/wj//xP0apVMLh4SF0Oh0kSYLT6cTOzg5+/dd/HXt7ewiFQldOwmVZRjKZpOc8j9hTrVaRSqXQ7/dhMpkQj8dv5ZG0aMbHJDG/BkYCJ0mtG1/sarGC8zqIyLPq1hzG+qFFwQfAB/cQLd9X7iPjgg+DcRvYKpyxUMhFigk+jFkg5oZa9fABQNu0LjM9/KM/+iMkEglsbW3hhz/8IXiex7Nnz1AsFuH3+9n3YYEQw2YtL4xvgrT7BQIBKIqCVqsFURQnKlcSiQRarRZtg3E4HJoaVzabDXt7e7TyJpPJwOPxzLWYqNVqKJVKaLVaV3r6eL1eOJ3OKwWY4+Nj9Pt9vHjxYuLnlyWgfP7552i32/jiiy/Q6XTQ7Xah0+ngcDjwK7/yK/jN3/xNKIpy5WsZ9+wxmUwIBoMzv2ZFUZDJZCBJEuLxOPx+v+aquyRJoqKkKIowGAx49OgRgJHgajabqchzFxaRFosFer2eisoMxrQQwUeriUuyLOP8/JyZOGsMJvgw1EI7s0PGnYRcpLTQs8xYH4jgo9UKH+Bq08PhcIhEIoFer4dEIoFf+qVfgiAIrHx6SdTr9ZUbNqsJx3Gw2WwfVKaYTCZ0Oh2USiWUSiUAowVpLBZbSTrZZXAcB5/PB7fbjV6vR8d+pVKZqZXH6/ViMBhca+TMcRwVey7zybDb7cjn82i32zdW25RKJbx58wa7u7t4+vQpZFmGXq+H0WhEPp/HP/gH/wC/+Zu/een16aJB8yxiz3A4RK1Wg8/nA8dx2N7ehl6v15SQB4xatc7Pz2mKGTAS58dNu2et5loHOI6Dy+VCpVJhlRCMmSCbV6tM6rqKi6mizMRZO5D7GBN8GLdFW7MIxp2DVfgw5mEwGACApr0drjI9JOIOqfC5aOjMWBySJKHb7V5q3HvXiEQiiEQi6Pf7E1UW4zuCp6en1P/HbDavrEJEp9NRkaXf7yORSIDjOIRCoal9rKZN76rX63j//v0HEfEOhwP5fJ7GqF+FLMv4h//wH6LVaiEWi+Gv/JW/gs3NTSiKgm+++Qa/+7u/i263i3/xL/4F/vJf/ssf/O08aVyKoqBQKCCbzUKSJFitVpjN5pVFkI/T6XSoD8/GxgaMRiMEQUC324Xb7abVZausxqxUKmi1WrBarQtvE7Pb7SgWi+j1epr4fBjrAZnLkDQ6rXBVqiibq2gDVuHDUAu2CmcsFCb4MOZhXcbNVVU7P/zhD2llD2N5rENlmNoYDAb4fL4PKiq63S5arRYajQbS6TQEQaCL81VWXxgMBuzu7iKZTCKTyaBUKiEWi01lRjwu+iSTSTx48OCDx5jNZiiKglQqhf39fSpy2Ww2cBwHURSvrbp59eoVMpkMAFCxBxhVd5jNZvzCL/wC3r17h/fv3+P8/HwiZS+dTs8s9tTrdSSTSfR6PRgMBmxtba1cSKhUKqjX6xBFkV6LOY5Dp9OB0WiEwWDARx99tNJzBICf/exn+PLLL3F8fEzTQHd3d/Hpp5/ik08+WchzjldqrPpzYqwPZC5AfC21AhF4isUinj17hkgkoumNtvuGVscNY/1gqxHGQlmXhTtDW6zTuLlqJ+ziubMWgMVzHwWfq7DZbHjx4gX1/xFFEdVqFb1ejwo+oihCkiTY7falftccDgcODg5QLBaRyWRwenoKn89HxZXrCIVCEAThSlNug8GAYDCIbDaLUqlEY9d5nofNZkOz2bz2u/j69Wt0u13E4/GJ86lWq2g2m/j+97+ParWKer2OV69eTQg+kUiERoxPQzqdRi6Xo2lfgUBg6dcISZLQaDTAcRw1JS6XyxBFEWazGV6vFw6HAzabTVPXr9/7vd/Dj370I+TzedTrdWqsnU6ncXh4iM8++wyff/656s87br7LYEyLVis1SGUPAPz0pz9Fr9ej3oOM1aPVccNYP7S/mmKsNeu0cGdoh3UaN9MIOVeZOzPUhQk+k5B0JLvdjmg0iuFwSNslASCfz0MURQCA1WqlFUCkGmaRkMQ6j8eDTCYzUeFzmQfPOOMVSvV6HVardeJaEQqFUCqV6HHJ75xOJxRFwXA4pLvY8Xic/t1gMMD5+Tn0ej0eP35Mfy7LMlKpFHQ6HSKRCLa2tvDNN9/g7OwMsiyjXq/D7XZDp9PdKPaMvzaPx4PBYIBoNLq0yN1xE/BGo4FWqwVFUWCxWKjgE4/HodPpNBsD/LOf/Qw/+tGPcHJyArfbjb29Pej1egwGA5RKJZycnOCLL75APB5XvdKHCT6MedDiwn3cu8fj8eDw8BChUGjCe5CxWrQ4bhjriXa2axh3knVauDO0wzqMG1mWkUgk8NVXXyGRSNCfXYSYOpN/X/YYhjowwed6BEGYaEPZ2NjAxsYG3G43ut0ucrkcjo6OqAk0sPiFrSAI2NjYoEbTjUYDL1++RD6fh6Io1/5tt9vF8fExjo6OJibEPM8jFothOBwim83SnweDQTx+/HiiZYF4HAGjViae5+H3+3FwcEAfk8/n0e/3EYlEIAgCFZyazSa+/fZbnJ6eotlsXnuuiqKgWCzi22+/RbVaBTBqP9va2lq4sDL+GdZqNbx9+xbZbBadTgdOpxPxeHyiPc5kMmlW7AGAL7/8Evl8Hm63G+FwmJ6rXq9HOByG2+1GPp/Hl19+qfpzM8GHMQ88z4PjOM0s3C969xgMBuzt7dFrkpbnXvcJJvgw1IJ9oxkLZR0W7gztofV0t8tSLWRZRrVanajiIZU9nU6HtkdoqS3irkEib1dpILtOGI1G+P1++P1+KIpCDXpJpUe/38erV68gCAIVRux2+8I9HgRBQCqVQrFYRDwep+dzEZPJhGg0eqmRs8fjQa1Wg9Vqnfp5x0Wb8VQ0Uv1CqndsNhsVcIrFIh4/fvxBito4jUYDyWQSnU4Her1+4dVTg8GAmniLoojBYICDgwMakx6JRGC322G1WjUX9X4TlUoFx8fHqNfr2Nvbu/QxPp8Ph4eHOD4+RqVSUdXIWevx2gxtwnEcBEHQzMJ9PHTi2bNn2NjYwPe//33qhcXQBkzwYagF+1YzForWF+4MbTIcDqHT6TQpjlyWauF2u1GtVici2gHQyh6z2YwXL15MTKSYp4/6sAqf+eE4DhaLZSLBiuM4BINBiKKISqWCSqUCYFSZMl4BoyZ2ux0HBwc0ter4+BgOh4MmRF3kuvSu7e3tDx5fq9VQKBSwvb0NQRDw6tUrAMCTJ0/Q6/VQLBZhsVgmKlycTueE6KTT6VAsFtHv9+F0Oq80aO73+0gmk6jVauA4DuFwGKFQaKHf+6OjIzQaDfr/JpMJbrebPqdOp0M4HF7Y8y+aVqtF7w9XVSHp9XrodDoMh0O0Wi1VBR+9Xg+e51mFD2NmtCT4AJeHTjCxR1swwYehFuybzVgorMKHMQ+SJGl2zFy2M8bz/IRPD5lAjce2j78e5umzGLrdrqa9R9YNvV5PxYzxqpHxVqtsNot6vU4rgNSoGuF5HqFQCF6vF+l0GpVK5dr2rnHR5927d9jb25s4h263i+FwCJvNhuFwiEajgUaj8UEyWLvdRq/Xo4Jhu90GgA9i3BOJBPr9Pmw2GyKRyJXnRVLB3G43otGoapVniqKg3W5THx6LxUI/J9KORT6Pu/ZdIH5NkiRhMBhc+voGgwG9h8xS4TUNHMfBaDQywYcxM1oTfIDvQifYBpQ2YYIPQy20uaJi3BlIlKBWF+8MbUJ2cLXKZTtj0/6MVAiNVwOxiZY6dLtdVt2zIPR6PTwezwfVErIs0wj4bDZLjaIDgQD1xrnNc25tbU1EBZNKOp/PNyHqENFHEISJn8uyjMPDQwiCgCdPnlCvICLEjDPeEjgYDKjPzfPnzyfuYcTY2uVyfdDeVi6XoSgKfD4f9Ho9njx5oloLXKvVQi6XQ6PRoPdWnucnxvx4athdxOPxYHd3F+l0GqVS6dJqpVKpBKfTid3dXVWrewgmk4mKgQzGtOh0Ok0KhWwDSrtozfuJsb7ciVX43/ybQLkM/NW/CvzyL6/6bBjjsAofxjysQx/5ZSLN+M/Ia7j4uPEKIebpoy69Xo8u6BnLIRqNIhKJ0IoT8s/4QjuZTNIUsHkqTsYFk3w+j1arRf19xj9vIvoAo80GRVEgCAJCoRDS6TQKhQKCwSCMRuNE2xNBURRwHAe9Xo9kMglFURAMBiEIAmRZhizLEAQBOp2OxsIT755Wq4VkMolWqwWj0Qiv1wuO4+YWe8YrkeLxODiOgyRJ1JeI+CktI1FNa3z66ac4PDzEyckJAFBxjaR0VatV7Ozs4NNPP13I85tMJlSrVTpeGIxp0EqFz3g1jyzLKBaLdCOKbUBpD1LRyLg7rEK3UG1F1e8DR0fA+fnon7Mz4Oft/viN3wD+4l+8+m9rNeDrr4G3b4FkcvT/AOBwANvbwA9/CFzhzcfQOJIkUYWawZiW4XCoWePdaUqf/+iP/giJRAJbW1v45V/+5Q8ef1nlD+N2yLKMfr/PKnxWAMdxsFqtsFqtCIfDkCSJXvN7vR4KhQJ9LDEOJhHws94bHj16hFwuRxPFXC4XYrHYxPVCURS8e/cOsizj0aNHCAaDKJVKyGaz8Hg8cDgcKBaLE8a7kiRBr9fDbDZDURQcHh7iyZMnCIfDkGUZ7969w3A4xN7eHk0xs1qt0Ol0dIecRM1HIpG57nmkRUsUxYkKEq/XSwWzjz76SNPVj8vgk08+wWeffYYvvvgC+Xweh4eH0Ol0kCQJTqcTOzs7+Oyzz1SPZCeMGzez6w1jWojgs0qh8GI1z/n5OXK5HADg2bNnbE6iQbQiFDIup9sF/tW/Av7dvxuJOBwHBIPA978P/MqvAFrZu1btNBIJ4H/732b/u2oV+O//e2C8Pd9gGP1/uTz656c/Bf6D/wD4T/9TgF2L1gu2A8aYB61W+ExT+jwcDpFIJNDr9fDTn/4Uer0ewWDwg8eziZW6kFJ5rQqF94lxQcJoNOL58+e08qfRaCCfz6NUKuHFixcARgvn4XAIi8Vy4/2C53lEIhHq71OtVtFsNicWKxzHweVyTRg5x2IxnJycIJPJUMFHFEV6XFEUIQgCtra2kEwmkUwm8Wu/9mvgOA7v3r1Ds9lEMBikAg8AbG5u4u3bt+j1enA4HIjH4zMJAO12GxzHwWw2AwDOzs7Q7/chCALcbjf14SFVQhzH3Xuxh/D5558jHo/jyy+/xPHxMb1n7O7u4tNPP12Y2AN8d41hLaSMWSBzGlmWV/I9vthOHovFUC6XEQgEwPP8nW8HXVc4jrvWw46xOspl4G/9rdG/gZF+IUmjopezM+BP/gT4b/9b4IIN4EpQdUVlsQAbG9/98//+v8DYfOpSZHkk7uztAT/4wejfLtfoZ7kc8E/+CfDNN8D/9/8BTifwl/6SmmfMWDRM8GHMiqIomjRtntZ7hywaT09PabsJK5VePCyhS7vo9Xp4vV54vV4AQKfTQa/Xo/eGYrGIfD4PnU5HK38cDse14p3RaMT29jYajQYGgwH9bnU6HZjN5kvTu+x2O0qlEvx+P7a2tujzACOR6sGDB5BlGa9fv0a320W3250Qe2KxGN6+fYtSqUT9eUiV0lXR8eP0+/0J4Ws4HE6IxxsbG9Dr9R+YRDMu55NPPsEnn3yCSqWCVqsFq9W6EM+ei5BrjBb9WBgfohVD4nED3lUIPhfbyQVBYO3lDMacyDLwv//vI7HH6QR++7eB/f2RfvFnfwb8/b8/6lr6O38H+K//61WfrYqCz+4u8Lf/9uTP/sk/ufnvLBbgf/gfRgLROBwHhMPAf/lfjiqHXr0CvvwS+I/+I+COhU7caZjgw5gVrfo+zeK988Mf/hC/9Eu/hFQqxSZTS4K05zDBR/uYzWZa1QKMjHh5nocoiqjVaqj9vK87HA7TFKyrFm3jHj6DwQCHh4cwm82Ix+MfiD4bGxtQFOWD+Pnx83C5XPjqq69QKpXwd/7O38Enn3yCFy9eIBqN4t//+3+Pf/SP/hGazSZ+8Rd/8cYd8fFzLhQKSCaT9HcWiwU+n29CKJpGNGJ8yGVm4ouECT7rg5YMiccFn1VVol5sJ2ft5dqHVfhokz/+YyCdHv33f/FfjCxogJF+8cknI+Hn//6/gW+/BQ4PV29No9qKat5rhdn8odgzDseN2rlevQJ6vVHVTzx+9eOHQ+D3f39URlUojM5rcxP49V8HnjyZ7xwZDMbyIDc2LU5ArpocXbYYJZU+bDK1HLQqFDJuhggwkUgEkiRRHxsi5iiKgpcvX8JgMEyYFV9miO73+1EoFHB4eAiPx0PjyiuVCkwm08T46PV6GAwGtFXKZDKB53n81m/9Fn73d38Xp6en+MlPfoKjoyPU63XU63UAo0qc3/iN3/jgdSiKgmazSc+/0+ngxYsX4HkeNpsNPp+Pnj8bp+sL+eyYkaq20Voi5rhR8iq57LrJYDBm44//ePTvx4+/E3vG+eQT4J/+U6BUGj32KsFnWbrFWsw4xit6rrtO9nrA//q/Au/fAzrdyCip2x2ZQR8dAf/ZfzYSjxjLg1X4MGZF6zsZFydHN+0gssnUciDjhl1v1huSgEVSsIDRwtput6PRaFDDZiKiPHjwgC7AdTodYrEYfD4fUqkUKpUKarUaYrEY9vb26Hex0Wjg9PQU/X4f7Xabij06nQ7b29twOp347d/+bfzpn/4pvvnmG5ydnUFRFEQiEfzgBz/AD37wg4mWDEVRcHJygkajQRdzOp0ODocDw+EQBoMBFosFm5uby3sjGQuDXGO0fq+670xTlbvMdi82bhjzwCp8tEe/Dxwfj/776dPLH8NxI8HmD/8QeP368scsU7dYC8Hn7dvRvwVh5Hx9FV98MTJM+ht/Y/QB6HRAPg/8vb8HnJ4C//AfAn/uz42qihjLgy3AGLOwTgt3re0g3me0XBnGuB2CIGD751toJP690Wig2+1Ssader6NcLlNfnt3dXdTrdaRSKeh0OjouKpUKXr9+DUEQIIoiBoMBdDodOp0ObDYbvvnmG+zt7SEQCOCHP/whXrx4gUQigVgsBrfbjcFggFqtBlEU4XQ64fF4wHEcBoMBTdJyOBxTGVAz1hOtVGowbua6KlsttXsxGFfBBB/tkc1+Fzb1867zSyG/E0Wg1QKs1snfL1O30LzgUyoB//bfjv77k0+A6+wZ+n3gv/vvgJ+37QMYCUR/42+MksB6PeDf/3vgF39xsefM+A52kWLMyzoslqb19dGKaeRdhiy+1mHcMOaHtH+FQqGJ+0u73Ua1WkW1WgUwMnUmyVnEmLnT6eDNmzcARp46w+GQmkfr9Xp0Oh14PB68ffsWFosFNpsNdrsdDx48QLVaRSaTmfBtEQSBesfs7e2xsXdPYJUa2ubi/faqyp5lb9awccOYB47jmLisMX7e3Q1gFDR1FW735N9cFHyWqVtoWvAZDID/6/8avSE2G/D559c//nvfm3zTCHb7qL/u7dvvDJYYy4G1dDFmZd0mQxsbG9dOFtku4nJYp8owhjqMf9bhcBh+v5/654iiiGKxSFurgFHsuSRJaLfb6HQ6qFaraDQa4DgOdrsdLpeLegclEgk8/XmtdqvVQqFQoGljxIdHP9Zvzsbd/YEt3LXLtPfbWUIYGAwGY5xxv36D4erHjf/uMo//ZeoWmhV8ZHnkbn12Nipx+p3fuV5FA4AHD67+HfnbVkutM2RMAxN8GLOyTgv3myaXrOVrebCWLoYgCHC73XD/fFttPPpdlmV0Oh3odDp0u120222k02m8efMGiqLg8ePHEAQBer0edrsdvV4Pw+GQRhc7nU6WAMcAgIkxxdAOs95vlx2qwIRCxrywMXM3WaZuoUnBR5ZHufVffz1yq/7rfx04OLj5765LOSTX85tCFdLpNI2EHScQCMDv9wMAjo+PaQTwOOOl469evbr0+Lu7uzAajej1ejgmjk8XePJzW25RFCdiXAlGoxG7u7sAgGKxiEKh8MFjSCk7ACSTSYiiuJLX1Ol0JpIs7sJrItylz0lLr2kwGAAA+v0+/ZkWX5Msy3jz5g0kSYJOp4PZbEbw5yZj46+pXC6jVqvB5XKh2Wzemc+JoJWxR1p5CHfhNQF373NaxWsCRteV4XCI4XAIjuPQbDaRy+Xwh3/4h+j3++j3+1AUBeFwGLVaDRaLBbu7u3A6nWi32/g3/+bfXHr8v/SX/hIAIJVK4c/+7M8++L3NZsOnn34KAHjz5g2Ojo4+eEwoFMIv/rxm+0/+5E+Qy+U+eMyjR4+wv78PAPjyyy/RbDY/eMz3vvc9mkr2z/7ZP7v0fH/lV34FDocDoiiy1zTnayJtfe/evcO7d+/uxGsC7sbnlM/nYTQa8ef//J8Hz/M3viae55f2msi5/uEf/uFMrwm4e58Te03TvyZyf7z42tb5NWnpc5qH8b2fsaXKB4z/7rL9IjV0i2nRnOAjy8Df/bvAz342erG/8zsjwyIGg8HQEjzPw+VyUTHnqqj2aDSKcDjMKk8YjBUiyzJEUUSr1UKr1YIkSZBlGRaLBYIggOM4DIdDdDod6pnAYrcZlzGe0MbQFsFgEIFAQJPt0yaTCS2NtxmwqjUG42aczu/+u1YDfq5jfcD4PuT436wCTllgndjf/JtAuQz8xm8Af/Ev3vx4UtlDxJ7//D8Hvv/96Z/nr/5V4Jd/+fLH/L2/B/zxHwM/+AHw1/7aLK+CcRv+7b/9t+h0Ovj1X//1VZ8KY03odDr4l//yX2JnZ4d6aGgVMjmaNaqdoT4nJyf49ttv8cMf/hBer3fVp8NYIYqioN1uo9Fo0OQsAPj6669RLBbR6XRQLpeRzWaRTqfBcRxCoRDC4TC8Xi+sVivcbje+973vgeM4tNtt1Ot12O12WK3WtWg3ZSyORqOB3//935/Y1WYwbuLo6Ahv3rzBn//zfx6umzwqVsD4vIW1n2uHP/iDP8BwOMSv/uqvrvpUGD+n3wf+m/9mlNT1H//HwK/92uWP+wf/YBTL7nAA/8v/8t3PV6FbaKbCZ16xh8Fg3E203rN8lahD/AOYb89yYf4I95t+v496vU5Nm0l1js/no4IPiVXv9/twuVzQ6XRwOp3gOA42mw02mw2CIMDhcMDlctExVa1WaRm7TqeDzWaDw+GA0+mE8bqabMadZJ185hjfseq0TC2Pm/F5y8uXL1EsFuH3+9mGlQZgcxrtYTAAu7vAu3fAq1eXCz6KMvodMJ0tzaLRhOBzUez5nd8ZRbAz1h+O49jFijET67Bwl2UZxWKRmkQSUYeIQJ1OB2azmaV/LBHyPrOS9PsBab8iYk6pVEI2mwUAWtXjcDjAcRz12YrFYigWi/B6vajVatDpdLBarRCE0VTIbDbDbreD4zhsbm4CGF2HiLgjiiIVlOr1OrrdLjY2NgAAzWYTRqNxIrmLcTfR8sKdcTlaqrrV2rgZn7cQAfvi3IaxOlj4jTb5wQ9Ggs/bt8D79x8aMP/ZnwGl0nePXTWqCj7t9ki8IZD/7veBcf8mvf47o6KLnj1//a+PYsoYdwN2kWLcRc7Pz+mO/7Nnz8Dz/ERCiNlsxosXL+hCkrF41kEoZMyPLMtotVo0cr3dboPjOHz00UfgeR4ej4cKNoIgYDAYIJ1Oo1wuIxQKIRqNQqfT4dmzZ/j222/hdrvR6XTQ6/Wg0+lgNBqh0+mg1+vx5MkTKtwUCgWkUim43W5Eo1FEIhFIkoRmszkh7pycnNDvvsPhgMPhgM1mY4ulO8hVrbwMbaKVtEyt3ZvIOL44b0mlUiyunsG4gR/8APjyy1Fs+v/xfwC//dvA3t6osuff/Tvg7//90eOePh39fNWouhr5n/6nUU/aRf7lvxz9QxjvRzs5AX7609F/cxzw//w/o3+u4j/5T1j1z7qhtZscQ9tofeFOJo+BQAA8z9Mdfp7n4fV66USJiT3LRevjhjE7ZGeTtBmQBQqJXycJXcDIENVkMkGWZeRyOWSzWciyTNuzWq0WrFYrjEYjPv74Y2QyGTQaDVQqFfA8D6fTCZvNRoUhAGi327DZbHC5XKhWq6jVagiFQgiFQnCOOTAqioJYLEYrgPL5PPL5PDiOw8HBAUwmE6sKuUOwz3K9uHhvXpWIoaVxM17xdHHesuy4esb1sAofbcLzwH/1XwF/62+NtI+//bdHrV6KAvw8bBjx+KhrSQusfEUyPjeXJOCSdNYJros/Y2gP1tLFmBUtL9yJB8BVk0c2UVodrKVr/en3+xNtU9FoFD6fjwo8JpMJDocDFovl0r/v9Xp49+4der0ejEYjYrEYHA4H3r17h3a7jf39fZhMJvA8T+NhSdz7RS+ewWCAo6MjGAwGPHr0CIFAAMlkEtlsFqVSCbu7u/Q8OI6jCydgZDxPEsFMP89irdfrSCQStNXM4XAw/581RUsLd8Z0sHvzd1ysePr4448/eG/Y+6QdFEVhn4dG8XqB//F/BP7VvxpV9ZTLIyEoEhn5EP/KrwBa2ftV9TT+5/959r959Aj4P//PxT/vX/trLJ1rFTDBhzErZHdda5HIp6enqFarNMHiqskjuzGvBtJe02e7AmtHsVhEoVBAt9ulP7NYLB+IqTdhMBggCAL8fj8CgQAURcG7d+/QbDYRDAbRbrdRKBQQiURoBd5F0UWWZWQyGRiNRoRCIaTTaRwdHdFEplKphGKxSIWcyzCbzTCbzRM/4zgOJpMJtVoNtVqNnq/f70coFLrxtTG0AxEJDQbDis/k/nEb4+VV35vJnIbMcVaFViqeGIy7gMk0SiKfJo2csArdQiO6E4PBYIwgkw8tCT6np6f48Y9/DKvVikwmwxIsNAhZgJPFGEN7KIpCfXgGgwE1RpZlGbIs00Qth8MxVUvkcDhEJpOBLMvY2toCx3HY+3mzvCzLE2JPJBLBq1evIEkSvF4vEokEgsEgXbQPh0PkcjkEAgFUq1VIkoSnT58CwITo4/f74ff76Tkkk0lIkoRoNHqtYbPT6YTT6YQkSbSCSRRFDIdD+phUKgWO42C325n/j4Yh15jrRD+G+mjJeHkeyHddC+3erOJpfWAtXQw1WP1Vh3GnYRU+jFnhOA6CIEwshFaJLMuoVquwWq1oNBpwOp0zJ1isOg72PkAWX+NVIozVI0kSyuUybdUa9+GJx+PgeR6BQADBYHDqYyqKgmKxiEwmA0mSYLPZJr5jFyt7YrEYMpkM+v0+4vE42u026vU6fD4fjo+PAQCbm5uo1WqwWCyIxWI4PT1FJpOhHl1E9Hn8+PHEDn2v10O9Xke1WkU4HKbeXleh0+ngcrngcrnouRKq1Sr6/T5yuRx4nofNZoPdbofX62XpXxqCXGNYS97y0Irx8m3QkuADrL7iiTEdTPBhqIE2rjqMOwvHccxTgzEzWhJ8eJ6H2+0GALjdbvA8P1EKfZOYs+67kuuCwWAAx3FM8Fkxg8EAoijCbrfDYDBAURQkk0lwHAer1Ur9aywWC53EzjKZFUURyWQS3W4XBoMBGxsb8Hg8E48hVTJWqxWxWAz9fh/5fB5msxl+vx+np6cAQCPdgVGUO8/zEEUR4XAYNpuNVvKRlqt+v/9BO8bu7i7q9TqSySTS6TRKpRJisRgVdG5i/LU/e/YM7XabVv+QSiCXywW9Xo/hcIharQaHw8HaiVYIucawCp/lcRfakIbDIXieX8tzZ6wOJvgw1IAJPoyFIggCFEVhFQ6MmdCS4JNIJFCtVuF2u7G9vQ0AdHfxJjHnLuxKrgscx8FoNDLBZ8mQiHIiUHQ6HQBALBZDMBiEIAh4/PjxB54885LL5dDv9xGJRBAMBieOKcsyOI4Dx3GIRCL056lUCrIsU6PmRqMBq9U6Id4QkUgURUiShHg8jjdv3iCZTOLRo0cTPjvknkb+3ul0wuFwoFAoIJvNIpPJwOl0zjVJt1gssFgsCIVCNIp+3Pj57OwMwKi6hIhndrt95b4g94lutwue51nV1ZJZ9zak4XComeoexvrAxg1DDdgIYiwUcpEaDodsR5IxNYIgaMKLZVywqVar9MZLKntuEnPuwq7kOmEymZjgs2AURcFgMKDX87OzM1SrVQAj42yv10t9eAg2m23u55MkCZVKhfrmbG5uguO4D+4nxLNHp9NhZ2eHii2yLKPX68HlcsHhcKDVakGSpInzIzgcDtTrdTSbTTidTvh8PjSbzQ8m3GdnZ2i323j06BH9OcdxCAaD8Hg8GA6H9PlLpRJcLtdcE3ae5yeqkJxOJ7a3t2kFULFYRLFYhN1ux6NHjwCMqpD0ej3bEV4gvV4PJpOJvccrYJ3voVpduJMNWbYxqz0URdHsuGGsF2wEMRYKE3wY8yAIAlqt1qpPgwo2xWIRrVYL33zzDa30mVbMWfddyXXCZDKhXq+zEmiV6Xa7tL2o0WhAr9fjyZMnAACfzwebzQaHw6F6i0upVEI6nab3D6fTealvykWD5vHPnud57O/vUxN4URQB4ErBhzzG6XQiFouB5/kPxpLJZEK5XKZGzuOTcb1eTys/Wq0Wzs7OkEqlEIlE4Pf7bzUuSTw9aTHt9XoQRXHi+d+/f492u01FN7vd/kFiGON2dLtdWK3WVZ8GY80YDoeaq8QjVcqdTgdms5m1nmsMrSS7MdYfJvgwFsq44MNgTIuWWrqAUUtIIpGA1WqFxWIBAGxvb08t5jCxZzmYTCYoioJ+v88MVVWg0+ng+PiYRt1zHAeLxTIhlpC2IjVpNptIJpNot9sQBAGbm5tXPsdFsYe0bQEjPyEivpAJs9frhSAIly7YTSYTNjY2aFXN+CR7/FikvWs8veuyHVir1Yrt7W2kUikkk0kUi0XE43HV3i+j0TiRGAaMqoCAkWhVr9cBjESo7e3tW1VaMUaQirGLvlEMxk0Mh0M6f9ACsiyjWCxiOBwikUhgZ2eHtZ5rDK0ZfTPWFzaCGAuFCT6MeSDeT5IkrXRng0yI6vU6hsMhstksnj17hmq1Ssuf2cRIOxCRp9vtMsFnBmRZpj48oihic3MTVqsVRqMROp0Ofr9/aV4xxWIR5+fntEUqHA5f+ZzXiT2SJOH169dwuVw0/h0YmXuPiySkUolwUUABRsJOoVDA06dPZxZ93G43nE4n8vk8crkc3r17h0gkgnA4PMO7Mj2hUIj6/zQaDVqZRb4PvV4Px8fHVKiz2Wxs93gGWCQ7Y1601ppzfn6OXC4HYFSJbDAY4PV6V3xWjHGY4MNQCzaCGAuFTCSZ4MOYBXJzU1Pwmac/ned5+P1+eL1e2kphtVqZH49GGY9mJ5UOjKsplUqoVCpoNps0HlwQBPT7fZpadXBwsPDzGDdbdrlcaDQaiEajN4p2w+EQ/X7/A7EHALLZLIbD4URVy2AwAIAbzXaHwyFkWaZtyDabDblcDul0eqLdgYg++Xz+2sUcz/MIh8Pwer1Ip9O0JQtQ9xp38TmdTucH34N+vw9JklAoFFAoFGh6msvlQjAYVP087hosoYsxD2QDSysLd+JBGAgEwPM8vve97wEYiUBfffUVa+3SCKSlSyvjhrG+sBHEWCiswocxD+NCoRreT7eJRt/a2qKTI7/fz8qdNcy44MOYhPi9AN9VsTSbTbRaLer34nA4lu73UqlUkE6nEQgEEAwGafvRNBgMBuzv738wGe52uygUCrBYLBM71rlcDoVCAU+ePKFj5aKnz3A4xDfffAOPx4MHDx4A+C6Fi1wDxtvBQqEQfD7fVBNyg8FAjwkA5XIZqVQK0WgUXq93Kb5Tdrsdz58/R7fbnYh/1+l0VPApl8vU2JoJG5MwwYcxD1pbuF/mQchSRbUHq/BhqAUbQYyFMl6pwWBMi5pC4fgkplgszjyJkWWZtnCRv2doEyb4fIckSRMLetKKMt7SFIvFVjapb7fbSCaTaDab0Ol0U1e5yLKMk5MTBINBOByOSyfCqVQKiqIgHo9P/JwYTo8v1pPJJIDvWrsEQYDZbEaj0Zj423g8jtevXyOZTGJvb2/id+QcWq0WUqkUdnZ2ppqgE0Pos7Mz6u+zLJ8dk8kEk8mEQCBAk2AIhUIB7XYbwGi8jAuC933hwVq6GPOgxYX7RQ9CliqqPbQ4bhjrCfs2MxYKq/BhzIOa44ZMYgqFAnK5HM7Pz5f694zlMe5Tct9QFAWNRgOyLAMYGS6fnp6iVCoBGKVpbW9vY39/n/6NIAhLn9QPh0OcnZ3hzZs3aDab8Pv9ePr0KXw+341/Szx7iIh1GcSs2OPxfNDO1el0pjJMdjgc9PEEk8kEv9+PVquFSqVy6d81m000m00cHR1Nde1yu9148uQJQqEQOp0O3r59i9PTU9p6tiw4jptoc3v06BF2dnZou0e5XMb79+/RbDbpY0RRpGPtPkHEZOYRxpgFrS7cL17/t7a28PHHH7N2Lo2g1XHDWD/YCGIsFCb4MOZB7XGzsbGBYrFIq31mrWq47d8zloPRaATHcRML9btMp9OhVTzNZhOyLOPhw4dwOBywWq3Y3NyE3W7X1OKU4zjU63XY7XbE4/GpW8guGjRHo9FLH2c0GuF2uz/4PWndIglc12G325HP5yGK4sT5RSIR9Pv9K885GAxCUZQbjZzH0el0iEaj8Pl8SKVS9DxXiU6ng8vlgsvlAjDy/Wk0GvS9a7fbePfuHTiOg81mo4beFotlKW1pq4RcW1iFz3oxj4efmqzTwp3NbbTDOo0bhrZhI4ixUJjgw5gHtSs1iPnyvKXKpMqnWq2yUmcNw/M8bDYbjaO+ayiKQhfUb9++pRUX4wtvshDlOG6qqpllUK/X0e12EQwGodPpsLe3N5M313VpXBcxGo2XegCRiqBpKnzsdjs4jkOj0ZgwMtbpdNjZ2bn2b6dN77rsvHd2dtDv92m1TalUAs/zK48Av5jeo9frEYvFqNBI3luTyURb48bH6l2iXq/DaDSq4i3HWA638fBTi/GWWi2wagGMMR1M8GGoBRtBjIXCBB/GPIzHa6vFxX71WUgkEqhWq3C73azUWeO4XC4kk0n0+33NTK7nRZKkiWhts9lMxQyXywWr1UqjtbU4ee90OrRqRRAE+Hw+6HS6mT+XarV6o9gzHA5Rq9WuND+WZRkWi+XGhC7gO+HwupalarUKq9V66WsZF33K5fJM6VfkeIqiIJvNot/vU38fi8Uy9XEWiV6vRzAYpBVNzWYToihOvO/JZBKiKFL/H7vdvvaLFhJ17/f776SYdRfRihGxlsy+rxPAmBCkLZjgw1ALNoIYC4UJPox5WJT57qwTGbLgIxNGYt7MJkTaxel0IplMolarIRAIrPp05qLZbCKdTqPVatG4dIPBMCEuaDlCezgcIpvNolgsQlEUeL1eRKPRuePHvV4v9Hr9tdU5mUwGxWIRer3+gyhyANje3qbv5ThXtbs9fPjwykV9q9XC6ekp3G73lYlioVAIFotlqoqiy+A4Dvv7+/R9fPPmDX0fpxGtlgXHcbDb7R+0yo1XKREfKYvFgmg0Ovd7smqIb9Fl44uhTbRiRKwVwYcIYP1+/wMBTAuVUIxJyNpp3nsng0Fggg9joYzHazMY06KFtKXxyY8WJoyM6SC+I+si+IzHYz948AA6nQ48z6PT6dA4cLvdvvKFwiycnp6i0WjAarUiHo9PxJhPiyzLyGazCIfD4Hn+WpGg0+mgWCzCZrNduxi/TMDZ3d2d+rEEq9UKl8uFarU64W1zEXLOpFonEAjMtFMrCALi8Th8Ph+SySTK5TLa7TYODg6mPsaqCIfDCIfD6PV6tEJt3J9IURScnJxQsUgr1UvXUavVAHx3jWGsB7ep7lULrQg+5N6SSCSwtbVF3xOtVEIxJmEVPgy1YCOIsVB4nodOp2Ox7IyZ4HkeBoNhZWlLFyc/H3/88ZUTIFbxoy3Igp8szrRIpVKhC2CSyMRxHNrtNl38vnjxYq3aRtLpNGRZhtVqpebG83rPjHv2GI3GG72ISLT6xRj28XPT6XS01WpaisUiut3upceNxWKo1+tIJpPY39+/9rOq1+vIZrOo1WpTe/qMYzab8ejRI9RqtYnn6XQ6U5terwqj0Ug/w/EKKyJ0Er8tQRCouHlVW96qIefKBJ/1Y9X3aDKXWbWBvizLMJvN2NnZgcFgoPMXrVRCMSYhaycm+DBuCxtBjIUjCAKr8GHMjMlkWlmFz7STH1YCrT0EQdCUcTPx/eB5nlaC5PN5tNttmEwmuN1u6sMzXratxQXvZfz4xz/GP/2n/xTv3r2D1WqF2WzG7u4uPv3007kEn4sGzTeJPbVaDY1GAz6f79IqEUVRUCgUYLFYLhV8isUiAMDv93/wO1EUUavVEIlEPiipNxqNCAaDyOVyKJfL156ny+VCNBqd2cj5suMQOp0OXr9+DYfDgVgspnnhB5gc02azGR999BH1/2k0GqhUKmg2m/S9bLVaGAwGsNvtmmhpqNVqMBgMK6/SYKwf3W6XpkiukuvmNlqohGJMwlq6GGrBBB/GwtHpdEzwYcyM0WhEpVJZWdrLTZMfVgKtXVwuF1Kp1EqMmxVFQbvdphU8xIeHVC8AwObmJvR6vaa8WGZFkiT83b/7d/GjH/0I5XIZ3W4XZrOZxpIfHh7is88+w+effz71MWdJ4yJks1nodDpEIpFLf99qtSDL8pUtYYVCAcDlgo/D4aCC0mVVHaFQCOVyGblc7saqlHnTu65CEAS6cHvz5g38fj/C4fBa7QSTVj3y2QyHw4mqzmKxiHK5DI7jqB+Sw+GA1Wpd+j1BlmWIogifz7fyRTtj/eh2u5oRCq+b27A5jLYYDocQBIFdcxi3Zn1mBoy1hVX4MObBZDJBkiQMh8OVLYyvm/ywEmjtQgSfZfn49Ho9WqpfLpdxdnYG4LsFLUkqIqyDX8l1iKKIf/7P/zm++OILZLNZBINBhEIh6PV6DAYDlEolnJyc4IsvvkA8Hscnn3wy1XHPz89nEnuAkblyp9O58hpBfGPmMQomfyOK4qWCj06nw/b29tQ79+Oiz/v37/Hw4cOZz4mg1+uxtbUFv9+PZDKJQqGAcrmMzc1NuN3uuY+7SgRBmBCswuEwrFYrrQBqtVrIZrOIRqP0vVyWqNtoNCDLMmvnYsyMoijo9XqaMitn85X1gAg+DMZtYaOIsXAEQViZFwtjfRk3btZqJQQrgdYmZFFWr9cXIvgMh0O6CBVFEf1+H8+ePYPBYIDD4UA4HF5ZJcIy0Ov1+JM/+RN0Oh1EIpGJ6hq9Xo9wOAxg1Lr25ZdfTi34RCIRmEymmbx2BEG40jQZGIk1Op1uLpHNaDTCYDBMmA1fxGazzXTMUCh0own1LFitVuzt7aFSqSCdTmv2WjkPRqMRfr8ffr9/onKO+HRJkoRvv/12wv/H4XAs5D0gnmAsoWv9WLXP3mAwgCzLmqnwYawPTPBhqAUbRYyFwyp8GPNAJke9Xu/aBd2qYWKP9likcfPh4SFarRb9f7IoJRgMhivbi9aVfr+PdDoNp9MJj8eDTqeDZrOJTqeDzc3NS//G5/Ph8PAQx8fHqFQqV/r5yLKMdrsNm80Gg8Ewtdhzfn4OQRAQDoevFNUkSUK73YbT6ZxbeHM4HCiVSjdWkhBfpgcPHtx4zHERst1uw2Aw3HpS7/F44Ha76esURRHFYhGxWGzlRrFqwHEcrFbrROKboijw+/1oNBool8sol8sARv5Ae3t7ql6bWULXeqIFnz3iRXgXvoeM5TIcDpfels64mzDBh7Fw9Ho9JEmCJEnMeIwxNWpFs696d4+xfIhx820En3EfHofDQYUIg8FAK3kcDsednozJsox8Po9cLke/Rx6PB61Wi17Pr6qm0Ov11L+t1WpdKvgQz55Wq4WDg4Opd8BbrRaKxSIcDse1Qg7HcdQvaV58Ph+sVuuN9652u02FrWmrQAaDAY6OjmAwGG7t6QNMmiI3Gg3UajXU63XacnfX7r8kth4YvZek6m4wGNBrfqlUQrlcpt9Xi8Uyl/hHDJvXwRybMWIan71lzA+0EsnOWD8Gg8GEyM1gzAsTfBgLZ7xSY929KxjLQw3BRwu7e4zVMI9xc7PZRKFQQKPRoFWJPM9PXLe2t7cXcr5ao1qt0vfPZDIhFotRIcNqtUIQBEiShMFgcKmgMhgMIEkSBEG4dMJ60aB5lsVQMpkEx3FXxrATiM/WddzUWnWxquQqYrEYarUaUqnUjUIUQa/XIxQKqWbkPE40GoXT6UQymaRJYtFo9Mb3Y13R6/Xwer0fvL7BYIB2u41ms4lMJgOdTge73Q6fzze1MMcMm9eTm3z2ljU/YIIPYx6GwyGGwyEbNwxVYNvejIWjVqUG435Byp/nHTcXd/dkWVbz9BgaZ9zH5zIkSaKiBqHf76NardLWokePHuHFixdTGwjfFYbDIRKJBCRJQjwex8HBwcTi2OPxYHd3F06nE6VS6dJjlEolOJ1O7O7uflDdM08aF6FSqaDVasHv9984EZ7GOy4ej98oHAGjsXEdRLzpdrs06n0aQqEQotEoOp0Ojo6OVG1/ttls2Nvbw+bmJhRFwdnZ2b3z0wuHw/joo4/w+PFjhMNhmEwm1Gq1ifchk8mgUqlc+d4Tw2bm37N+bG1t4eOPP/5A0Fnm/IAJPox5YOOGoSaswoexcG67cGfcT24rFN4mRYtM/uYp9WYtZNqAJBWVSiVq+tpsNicSfwg+nw8mkwkulwsvXry4lyaJw+EQ7XYbDocDgiBgZ2cHFovlyvfi008/xeHhIU5OTgCM3sPxlK5qtYqdnR18+umnE3+nKMrcYo8sy0ilUhAE4UafpH6/j2+//Xbm57iMXC6HdDqN/f39a6tUg8EgSqUSMpkMPB7P1OPoYmT748ePVWu/4jgOPp8PbrcbzWaT3o8bjQY1pb7rcBwHm80Gm82GSCQCSZLo74bDIbLZLP1/i8VCzZ/tdjs4jqPeQOuafnbfuSp+fFkpm2zhzpgHNm4YanL/ZrWMpcMqfBjzoNPpYDKZ0Gw25z7GPClaiUQCL1++BAA8e/bs0lJvIupcFHdYC5l2cLlc0Ov1yGaz2N/fBwCcnJxQ7xmXy0V9PcgimOf5eyfWKYqCQqFAF71Pnz6lqUfX8cknn+Czzz7DF198gXw+j8PDQ+h0OkiSBKfTiZ2dHXz22WcfJHRxHAen0wmr1TqzENPr9cDzPILB4I2CCEnWuqmNOJlMAsC1VT7kGKIoXns8nucRi8WQTCbR6/VmEg6J6DMcDhfitaPT6WiFiizLeP/+PSRJQigUQjAYvFfjfvz9FQQBz549m0jdy+fzyOfz+Oijj6DT6ZDJZMDz/IQ5O2P9WVbKZqvVAs/zml64s40q7UGqELU8bhjrAxN8GAtn3MOHwZgFYryrKMrc3gmzVvYUi0VUKhUoioJisfjBhJCIOp1OB2azmYo70xhEMhZLv9+ni7ZGowG9Xo9Go0E/q83NTRgMhrmNW+8a9XodqVQK3W4XBoMB8Xh8JpHi888/Rzwex5dffonj42MaIbu7u4tPP/10QuwZr5qbJXZ9HLPZjIODg6k+u0ajAeBmj57rItcJNpsNHMeh0WjceO5utxtOp3Ou7/74sRVFgSzLCxF/eJ7H1tYWkskkMpkMSqUSYrHYva1gMRgM8Pl88Pl8AEYG3J1OBzqdDoPBAJVKBUajEa9evZqo/mGpS+vPMu7RzWaTXkO0yPhGFZu3aAdW4cNQEyb4MBYOq/BhzIvNZkOpVEKv11vKTY/s4hLPEb/fPzH5IaJOv99HIpHAzs7OhLizrBJxxohxITCbzSKTydDfmc1mhEIhnJ6eIpfL4cGDB/d2QXsZZ2dnKJVK4Hke0WgUgUBgrjH7ySef4JNPPqHeOlar9UrPHp7nsbu7O9fCp9frwWg0Tn2OoijCbDar0p7H8zzsdjuazeZUO+Hk9+Sc5+H9+/fodruqGjmP43A4cHBwgGKxiEwmg9PTU7hcLuzs7Kj+XOuGxWKhlVyFQgGKoiAQCMBgMKBaraJarQIAAoEArQy7zaYE4+4iSRLa7TbC4fCqT2WC8SplslH18uVLFItF+P1+VqGsAciaiQnLDDVggg9j4QiCAJ1OxwQfxszYbDYAox2yZe1ykDJv4MPdv3FRZ2trCwaDYSIVZlkl4vcVRVHQarVoBU+328Xz58+pR4fX66W778RPJpFIUMHnvjO+KLXb7VAUBdFo9Fax5QSPx3Nt9Drx7JlnUdxoNHB0dISNjY2p2mo6nQ6Gw6GqiVR2ux2iKKLVasFut9/4+Gq1ivfv388tNFosFlSrVdXTu8bhOA6BQAAejweZTGbiGssEjBG5XA4AsLe3B7PZjOFwSKsIx8fB69evaQKYw+HQdEUHY3m0220A381ltMDF1nOv10uN5okAxOYxq4dV+DDUhAk+jIXDcRyMRiMTfBgzQ+KQW60WLbdfBtdNdDY2NuhkSJZlnJ+f46uvvqKTJzZJUh9JkvD+/Xs0m01quEoWVyT62263f7AQJ1HNpVLpyvjw+4CiKCiVSshms3j06BFMJtOVAo2a3CaNi6AoCo1hv6k9i9DtdsHz/NSPnwaHw4FsNoterzeV4GO328HzPFKp1FwtXheNnBcl+gCjTRkicgOj1sjDw0MEg0EEAoF7K1zIsox8Pg+n0wmz2Qxg9F653e4JEU+WZZjNZioI5nI58DwPm81G20gZ9xPiQagVweey1nOyUXV+fs4qlDVEt9uFIAj3MkSCoT5sFDGWgslkmkjFYTCmYbzCRwtcZsrMfHvUZTAY0B10j8cDh8MBnU6HdrsNs9lMK3isVutUC9FQKIRisYhisXhjstNdpNFoIJlMotPpQK/Xo9/vL2XHUA2xBxilrHU6HYRCoalL291uN1wu11zPdxUWiwUvXryY+vstCALC4TBSqRTy+fxcLR3LFH3GGQwG4DgOqVQKxWIR8Xj8XkaSVyoVDAaDG32beJ7H9vY2FEVBu92m169Wq0U/r1arhUKhQK9fTAS6H2hN8Lmq9Zz4erE5jHZYlpUB437ABB/GUjCZTKhUKiwJgDETxFxXC4LPVabMzLfn9rRaLVSrVYiiiE6nQ39uMBholcazZ8/mqjQIhUJ4+fIlcrncvRJ8+v0+UqkUqtUqOI5DKBRCOBxe2hiVJAmDweBWYo8kSchkMtDr9TMbPU87VgKBwNTHnPW9CwQCKJVKyOVyNLZ+VsjrLhQKtJpt0VitVjx58oSmtx0fH8PhcCAej9+rBQhp55p27HEcB6vVCqvVilAoNNEW12q1UKlUUKlUAIzmRA6HAy6Xa6qKMcZ6QjY6SbWyFrhO2GFzGO3Q7XbvpdDOWAxM8GEshfGkLlIazWDcBM/zsFgsmhB8rhJ32K7YbJBd8F6vR1uKarUa8vk89Ho9repxOBwTC+R520osFgscDgfy+fy98iXp9XqoVqtwuVyIxWJLN37U6/XY39+/VcpUNpvFcDjE1tbW1MdptVqo1Wrw+XxTveZZorYHgwGKxeKl7YOXwXEcYrEYjo+PkUql5vaRCoVC8Pl8Sy3tJ2lqXq8X6XSaJhPeF8FHURTkcjmYTKa5F13j15pAIAC32z2RIlgoFCDLMh1LtVoNgiBMXb3IUB+1NyWbzSb0er3mKrrYfEXbkA0TZtjMUAsm+DCWArlodbtdJvgwZsJms9GklEVNgqed5F0l7rDJ0/X0ej2IokgXOpIkged5uFyuiWS0RV0bQqEQjo6OUKlUVDXy1RrlchlGoxE2mw12ux0HBwdLvd7KsoyTkxMEAgE4nc5bR4q73W5IkjTTZ1ar1ZDL5RaSyKYoCrLZLAaDwdRVGU6nE4FA4NYtZkTsaTabSKfT2NnZWYoApNfrsbW1hWAwSMdSp9NBs9mEz+e7s8JEs9lEq9XC1taWaq+RCNpE6O52uxPHPj8/x2AwgE6ng81mo8L3fRHZVs1lLdu3ReuR7AxtwgybGWrDVimMpcCi2RnzYrPZaFXIIkgkEvjqq6+QSCSmevw84o4syzP/zTozHA6puXK/38e3336L8/Nz1Go1mEwmhMPhiXhug8GwUGGCtGSQFo27RqvVwuHhIRKJxAfR9MuCePaIoqhaRZ7VasXm5uZMfyOKIgRBmPq1Hx8f4/j4eKrHGgwGGI1GiKI40znF43HV2nZarRaazSaOjo4wHA5VOeY0jL+f2WwW5+fnePPmDRqNxtLOYZnM2s41DyaTaWIHf3t7G5FIhBpAJ5NJvHr1it77ZFnGYDBY2PncZy62bKtxzx4MBuj1eppq52KsB71eDwATfBjqwSp8GEuBCT6MeSGTpWazqfrEaXySVywWF9KatYhdQ60hyzKazSZtV2i32zTu1WAwIBQKwWq1wm6337rqYx5cLheMRiNyuRyePHmy9OdfFIPBgLbbkIjtVfgUXTRojkajtzpeo9GALMszt9IMh0O022243e6pd9TJxHpaHA4HisUier3ezOX2876ucYLBIBRFWbqR8zhbW1swmUzI5XI4OjpaWdvgIsnlctDpdEtNh7TZbLDZbAiHw5AkiV5TidjWaDRwfHw8YV5P0uAYt2MRfnzEv0crhs2M9YFV+DDUhgk+jKUw7uHDYMzCeFJXMBhU9dhkkvfy5UsAo5L6ra0t2uJ1237+q4ye7xLpdJp6UQDfxRaPexbcVgC4LcS0+OzsjJbYrzuSJOHVq1eQJGmlhrpqpXERFEXB+fk5+v0+nj17NpOYQapN1IxjvwgRfERRnMn/R5ZlnJ6eguM4PHny5FbC56rSuwg8zyMSiVB/H2K4/vTp07mMqbVGr9dDpVJBOBxeiUANADqdDk6nc0IcFAQBHo8HjUYD+Xwe+XweHMfB6/XOXAnH+BC1/fi0ltDFWB+I4HOXRHTGamGCD2MpsAofxryQyRLZLVObjY0NFItFKs7IsoxqtYpOpwOz2Xyrypy7lOLV7/epD4+iKNjZ2QEAajJK/CYsFsuKz/RyiOCTyWTw6NGjVZ/O3PT7fRgMBuh0OoTD4VuZyqpBrVZTTewBRmlU3W4XkUhkZhGDCD6LTD0ix55V8CEiyfn5OXK53K1F0HHRp1KpzJQ2phZGoxHb29toNBpoNBpU7BkMBmst/CyjnWserFYrNf7udDrUE238vU4kElQEdjgcbME4I2obNgNM8GHMDqvwYagNE3wYS0Gv14PneSb4MGbGZDJBp9MtzCuCmAaXy2W43W5Uq1X0+30kEgns7OzcujJnnVO8+v0+crkcRFGcqM6zWq3URDsYDKpeebUIAoEADAYDzs/P8fDhw7Uz0ex0Okgmk+h2u3j69Cl4ntfE++7xeKDX61URWYbDIbLZLAwGw1yvze12QxCEhS5ydTodIpHIXMKmz+dDsVhEPp+fOkXsOsZbJVfJeGqZoig4OjqCTqdDPB5fS/+Ss7MzKqhqFbPZDLPZ/MH3ZDAYQBRF1Go1ACPfKYfDgWAwyBaPS4bMWdbxO8BYLUzwYajN+q1AGGsJx3EwGo1M8GHMDMdxcLlcqNVqUBRlIc+xtbWFjz/+GNvb29R3ZmtrCwaDQZXKnHUQexRFQaPRQCaToeIOz/MoFotQFAU+nw/b29t48eIF9vb21k4w4XkeGxsbaLVaKJVKqz6dqRkOhzg/P8fr16/RaDTgdDoX9j2YFlmWkUqlaBufWoJDOp2GJEmIxWJzfWfsdvtSPIzC4fBcVVUcxyEej0NRFKRSKVXOZVxoSafTSzVyvgxFUeB0OtFut3F4eIj379+vldFwvV5HtVpFNBpdyyqlhw8f4qOPPsLOzg78fj84jpu43g2HQ6TTaYiieO/CBJZNrVaDzWZbusfWNLDPXtt0u13odDpNjh3GesJGEmNpmEymhSUtMe42TqcT5XIZrVZL1fLocY8e8u/xipzbevhonW63i3q9Tlsyxn14AoEABEHAs2fPJvx41pnNzU0cHx/j7OxspnacVVEqlZBKpSBJEmw2G+Lx+Mpb5sY9e0wmk2qmtsPhEJVKBXa7fa5IdUmS5vJbicfjM/8NYTgczjwhJ6+vVqvNZfx8FfV6HblcDvV6fSVGzgSe5xGLxeDz+ZBMJlGpVFCr1RCJRDRRkXYTZ2dnALDWnjg6nQ4ulwsulwvAd22gwKjqJJfLIZfLgeM4Wp2l5XbcdaTf76PdbqvS5qo2iUQCxWIRfr//zgZJrDu9Xg8mk2ntNtYY2oUJPoylYTKZUK1WaSsIgzEtZOJKdszU4Lr0rIsi0EXWVQgaDAYYDAZ0Yp9Op1Gr1cBxHGw226UT/7si9gAjLwWfz4dsNqvqYntREBFjc3NzLhFEbS4aNKuZYCQIAg4ODuauXjo7O0Oj0cCzZ89m+m7Oa/D87bffwmAwzOUHFYvFEIlEVB1/LpcL0Wh0peld45hMJjx8+BD1eh2pVGrllUfTIEkSUqnU3KKjVhm/hrvdbuzv71P/n2azCVEUUa/X8fjxYwCj9lGdTnenrv3Lpl6vA/hu7qIVZFnGN998g1qtBo/Hs7bt5nedbrfLvJ8YqsIEH8bSIIvIdrvNepoZM0HaJ+r1uio7ZrdJz1qnmHUS7UvMlrvdLsxmMw4ODgCALtrvU7Tv5uYmSqUSkskkdnd3V306E3S7XWQyGcTjcej1egQCAfj9fk18NmqncV3GvAKIoigQRREmk2lp75XJZKJtMbM+56IW0qtO77oMp9MJh8NBhTxJknB2doZwOEzjxrVCJpPBYDDA48eP7/SmlMVigcViQSgUgizL1FyYkEwm0Wg0YDQaqfmz3W5fWWLZOkI8lFZpqH8ZiUQCp6enkCQJHo9n1afDuITBYIB+v88q7hiqsvpZJOPeQESeRaUtMe4uZLJJJlG3haRnCYIAr9c78bvretsvCkU39cEvu09+vDqi2Wzim2++wfHxMQqFAiRJgtfrnUiesdlscDqdmhAUlkU4HIZer8fZ2dnKvXAIpLLg9evXqFardJxzHKeZz+b8/HwhYo8sy3jz5g3K5fLcx+h0OpAkaS4voVevXuHVq1cz/53dboeiKB8slmehVqvh9evXkCRp7mNcJBQKIRqNotPpIJFIqHbc2zA+jkVRRLVaxevXr3F+fq6pyp+zszPwPH+rNr91g+d5KuoQAoEAfD4fFEVBsVjEyckJvv7664n7r1aunVpFi4IPSSDd2tqCz+fDkydP6PeSefpoB7JGYhU+DDVhFT6MpUEuXs1mcyURsoz1heM4OJ1O1Ot11VoCiVfP+fk5vvrqKyr8XFe9M0vM+rIqgbrdLi3PbzQaePjwIaxWK8xmM5xOJ23TYmkPI3Q6HTY2NnBycoJisbjSa5GiKCiXy9Rs12KxIB6Pa3KiF41GYTKZVI+qzufzaLfbt1r4i6IIYP72rHkgzyWK4tzPK8syOp0OrepSi1AoBJ7nNbXYJJCWomQyiWKxiEqlgnA4jEAgsNKqmnq9jnK5jFgsdu9bmcb9f3q9Hq0QJRUHvV4Pr1+/nvD/0Vq11qqp1+uw2WyaMv4m85dMJgO3203nL+tUtXwfIJsIWpwHMNYXJvgwlsa44MNgzIrL5UKlUlG9JZBU7BSLRQDfVfFc1eY1Tcz6bVrGpiWVStEIeWAkipG4dGAkbOzs7Kj6nHeFBw8e4OTkBKenpysVfERRxNnZGfR6Pba2tj6oNls1siyj1WrBbrdDr9erLvb0+33kcjmYTKZbfQ6iKILn+aVOkM1mM/R6PRWb5sHj8aBQKFADVTVF2fH3s9VqwWg0rry9i2CxWPD48WNUq1WkUimkUqlLqy2XyenpKQBge3t7ZeegRYxGI/x+/4TJvSRJsFqt1PsHAPR6PZxO51qbXavFYDBAq9XSpGHzxsYGisUinZvEYrGFz1UYs0HWSMz6gqEm2rj7M+4FJpMJOp2OCT6MuSC71bVaTbUb4cWKHQBTVe/cNCGapRLoJojHgiiKEASBLroHgwF4nkcgEKA7rcxjYTqsVitCoRByuRyazeZShYJ+vw9FUWA0GuF0OrGxsQGPx6O5z4549rRaLezv7y9kBz+dTkOWZcRisbmrOxRFoQaXy64QsdvtqNfrcyeEAaOUsMPDQySTSTx8+FDlMxyNt6OjIxiNRk14+ozjdrvhdDpRKpWon0i/34csy0utSOz1ekilUvB4PHfKrHlRWCwWPHr0CLIs08pSURTp5gMAFAoF9Ho9OBwO2Gw2zV3fFokW27kIPM+j1+shkUhga2uLCq1qzFUY6sBauhiLQDt3fsadh1QgMA8fxjyMJ3VFo1HVjnuxYketHa5pKoGuot/vo1KpQBRFNJtNWrVDhApy/LtsLLpotre3kcvl8P79ezx79mzhzyfLMnK5HPL5PKxWK0130mI8/EWD5kWIPa1WC5VKBU6n81YLI47j8Pz585V4wcTj8Vt/D61WK11w1et11ReJBoMB4XBYU0bO4xDRmpBKpVCr1RAIBBAOh5ciFCQSCciyzKp7ZoS0DZIxO+7rQ6p/CoUCnfs5HA54PB7NpyPeFiL4aC2hCxhd281mM3Z2dmAwGCDL8q3mKgz1aTabMJlMmrpOM9YfNpoYS8VmsyGTydxqR5RxP1HLuPmyVJ3x/59m0jNtMs+0Eyjik0B22Hq9HtLpNHiepx4JF30SmNhzO0g62fn5Ofb29hbqtVCpVJBKpTAYDGA2m1VvjVKTZaRxAaMKNb1er9rxVzE5Vus5o9EoRFFcmGilxfSuqwgEAuj1esjn8yiXy4hGo/B6vQu73smyjPfv38NkMiEcDi/kOe4L45/R7u4u9Zcbj4A3mUxU8CkWi7Db7XfOX460uWm1wueyih4m9mgDEgSgRbGQsd5o847PuLOQEsVWq7VUg03G+nOdcfO0Aowa5oRqHGM4HNIy+EajgV6vB2DU9mi322Gz2fDo0aOVtKncFziOw87ODr7++mucn58vxO9oXDwRBAEbGxvw+Xya/UwVRVmK2AOMdr+dTuet34tsNkurB+Zhd3f3Vs/fbDZRr9dvVXWo1+vx7NmzhY6Li6LP3t6eJhd5NpsN+/v71Mz87OwMhUJhYSJVJpNBr9fD/v6+Jt+PdcZkMlF/LkVR0Gq16KZFp9PB+fk5gFEVGtnYIH5h6wxpO9fq67hY0TPt/ImxeHq9HobDIfPvYagO+4Yzlgq5iDEfH8Y8OJ1ODAYDtNtt+rNEIoGvvvrqxgjiWSPV1TyGLMsYDAb0/w8PD3F6eopSqQRg1Nazvb1NU1A4joPdbtesMHBXIIk8JycnqkZjE3ieh8FgQCAQwJMnT+D3+zX9mXIcB5fLtVCxR5KkCaPx2zAcDpHJZG4V6W40Gm/VYlKtVpHL5dDtduc+BvDdezEYDBZa6RONRuF0OjW/wPN6vXjy5AlCoRAMBsNCxB4icOp0OpZOtGA4jpvw8jEajdjZ2UEgEADP8yiXy3j//j1ev35N/2Y4HK5dXDgxbNZ6hcZ4Qtc08yfGcmD+PYxFwSp8GEtlvMKHwZiVcR8fq9U6UxrWdUbKs7Roud1uVKvVGw0O2+02reIhJboPHjwA8N1uu91uv/N+BlpGp9Ph4cOHePXqFRKJxK2rfBRFQT6fR61Ww+PHj8FxHP3MtQxZVPE8j2AwuNDnIj5Ge3t7VOCcFzXi2El13bzfQ4fDgUKhAFEUb92aQuKuPR7PwtKOxtsJFUWBLMuaba/W6XQfVE69e/eOepndVrRKpVIQRRG7u7v3Pop92fA8PxH/3u/30Wg0JoT3bDaLYrEIm81Gq38sFoumRXMt+/dcZBlpoozZYJHsjEXBBB/GUmHR7IzbQJJcKpUKotHozGlYl5kTztKilUgkUK1W4Xa7r3xsrVbD2dkZ3aUnO5vjN3CfzzfFq2UsAxLRfnR0hI2NjbnL8Gu1GlKpFHq9HoxGI/r9/lqIeaTtjOM4PHz4cKGLKeLNYjKZVDGCJoKP3W6f+xjHx8cAgCdPnsz196TtUhTFW0XLAyPRyWq1olQqwe/331oQu4nT01P0ej1Ne/qMMxgMMBgMkM1mUSqVEIvF6D1hViRJwps3b6DX6xeSjsaYDYPBQJMyCRaLBXa7Hc1mE41GA8BIBIzH4x88VitUKhUAWIu0NzXTRBnqwCLZGYtC+3d4xp3CYDDAYDAwwYcxF1arFUajkbZCAbOnYV2s7Lm4w0Uec7HqZ/yx1WqVlm4TH569vT3odDo6xr1eL42kZRMp7aLT6bC3t4evv/4ax8fH2N/fn+nvO50OkskkGo0GdDodYrEYAoGApnehCRcNmhd9zqlUCoqiIB6Pq/JcjUYDJpNppdUZOp0OVquVpund9nXF43G8fv0ayWQSjx8/VuksL8dqtaJWq2neyJmg1+uxv7+PUqmETCaD9+/fo1AoIB6Pz7xASiQS6HQ6ODg4YNU9GsXr9cLr9VIjW1IxS0R5RVHw5s0b6uFlt9tXPoZLpRJ0Ot1aCD7A7dJEGerTbDZpqh2DoSbavrsz7iQsmp0xLxzHwefzIZ1Oo9/v01jReScrF3e4zs/PUS6X0el0YDab4Xa7aVQveezh4SH0ej1evnxJY2gNBgN6vR4sFgssFsvMogFjtcTjcRwfH+Pk5AQPHjyYqTWnXC6j0WjA5/MhEolo1qjzIstK4yI0Gg3UajW43e5bVeQQut0u+v3+ratq1MDhcKDZbKLVat26FN9sNsPv96NYLNJqwkWxTuldBI7j4Pf74Xa7actPsVicaYE0GAxwdHQEk8nEotjXAOJpZ7fbEYlE6M/7/T5kWUapVKKbQBaLBQ6HA+FweOkihiRJqFQqmq6WuSmllLFaWq0WLBYL+0wYqqPtOzvjTmKz2WiFxLosjhjagQg+pVIJ/X5/5sSsixMessMFAF999RX6/T4SiQQsFgu+/vprlMtlPHr0CE6nE1tbW2i1WhgMBrBarXC5XHcyVva+wfM8Dg4O8Kd/+qd4+/YtXrx4ceVjFUVBqVSCx+OBTqdDOByGx+NZePuNmixb7FEUBclkEhzHqfZcPM8jFAppIu3R6XRCkiTVxJJIJIJKpYJUKrVwg+V1FH0AQBAExONx+Hw+er6KoqBYLMLn8137np2cnKDf7+Ojjz7SrH8R42aMRiOePn2KXq83kXpZLpep91Oj0aCpsIu+RtdqNciyrNmWbTUSRhmLgyTZ+f3+VZ8K4w6i/bs6484x7uOzLmWvDO1AJlPFYhHD4XAmw8GrJjzk7xwOB87Pz6HX63F4eAhBEPD27Vs4nU7Y7XbwPI+HDx8inU6jUqlAr9dP3JxZvOn6EgqF4Ha7cXZ2hp2dnUsrNURRRDKZRLfbxXA4RDgchk6nWyuxBxjtRA+Hw6WIPcBohz4ajdKqPDUwGAy3ikJXE1LZpxZEzOA4binXEyL6FItFVYWrZTDuBVUqlZBMJlEoFBCLxS41zu12uzg+PobNZkM8Hl/imTIWBUnaI3MDkgIIjDx1SqUS0uk0BEGg8e9Op1P1DUdSZaRFwYcZNGufTqcDWZZZOxdjIbBvO2PpMONmxm0gPj6kdFoQhKlKqC+LVJdlmZpBAqNkDYfDgd3dXUSjURiNRvocJLpUEARUKpUPotlXHW+6bvG1WoPjOBwcHEBRFBweHk78rtfr4eTkBO/evUO/30c4HF54mtUi0ev12NvbW4rYQ3A6nartXCqKQtsptYSa5+X1euc2JJ6HUCiEg4ODtTAavwqfz4dYLIbhcEiN2DudzsRjjo6OIEkS9vf32YL3jjIuKsfjcTx8+BDBYBAGgwHVahVnZ2cTPoDNZnMiHWxeiH+PFhO6SEv6tPMlxvJhCV2MRbI+2ziMOwNRr5mPD2Mexn18wuHw1DtVPM/D4/EgnU6D4zi8e/cOrVYLiqLg+fPn0Ov1cDqd2N7epjfcbrcLg8FAhR2yM3Yx2WLVu2esVFsdfD4fgsEg0uk0dnd34XK50Gw2cXR0BEVR4Ha7EYvF1tLkVZZlHB8fIxAIwOVyLa2VpVAowGq1qrpr2Wq18O7dO/pdvA3zpnNdpF6v4/3799ja2lJ1wdfpdCCK4lIERjImGo0G/Q6sU7UPx3EIBoPweDzIZDIolUp4/fo1dnZ24HK50Gq1kEgk4HK5EA6HV326jCXA8zwcDgdt/RwOh2g0GrQyTJZlen0n5s8OhwNWq3UmA/Z18O9hBs3ahgk+jEXCvvWMpUMm/qzChzEvpGS6XC7fOHkhO+6KokAURRiNRuh0OrTbbTgcjonEIJKuZTQa0el08P79e/R6Pfj9/omdsa2tLXz88cdUXFnl7tlllUuM+SGG269fvwYA6tX0+PFjbG9vr63Y8+7dO+pnsSy63S5SqRRSqZSqx200GpBlWVPVKEajEZIkTVQMqkEmk0EqlVrq/bLdbqPVauHo6AjD4XBpz6sWer0em5ub2N/fh9vtpov9N2/eQFEUHBwcrEWKHkN9BEGA2+2e8N2Lx+NwuVzodrvIZrN4+/Ytvv76azr2p6naq1armvbvITCxR7swwYexSNZn64ZxZxAEAWazmQk+d5xF+tmQSVWpVJpI7QBGO3jEvFEURfh8PoTDYXAcB7fbDUEQbtzBk2UZZrMZOzs7MBgM2NjY+GBn7OJrW9Xu2cWkMTahux06nQ52u52m//j9/rVO8rlo0LxM35tkMglFUVRvHRNFETzPq1I1JIoiANza/NlkMkGv19PjqUU0GkW9XkcymVxa+l8wGISiKGtn5HwRi8VCv7v1eh3pdBoWi0VTQiFjdtScW/A8D7/fD7/fD0VR0G63IYoier0eHfOlUgnZbJb6/zgcjg/8f8rlMgBt+vcw1oNWqwWdTsdCQBgLYf3u4Iw7gdVqRbVahaIobKftDrLoFiPi40MmWcBohy2Xy6HdbtOfmUymidYVksZ1E1eJKDdNNFcltrBS7dvT7/epGbfNZkOz2cTr16/xH/6H/+HaXqOWncY1Tr1ehyiK8Hq9qrZzSZJEU3fU+FySySQAdVq7HA4HyuWyqubUJpMJgUAA+XyeXo+Wwbqmd10FqdhzOBx49+4dnE4n4vE4E3/WjEXOLTiOu7T9lOd56t1XqVQAjL6XwWBwYvNJq/49F2HhEtqk2WzO3ErIYEzL+t69GWuNzWZDqVRCt9udSNlgrD+L9rNRFAWdTgc2mw3lchm9Xg9GoxGyLKPf78Pj8dCduNssui6KKFr3yWETuPlQFAW5XA65XA6yLNOFoMlkwvv375FKpdY2zader69E7CEx7DzPq15R1Gw2oSiKJuLYL0IEn0ajoaowEw6HUS6XkU6nl+q/NC76VKvVtY0LzufzKBQKiEajeP78ORV2RVFEIBBAJBJh1881YFVeeV6vF16vF4PBYKJ6mBg9S5KEcrkMu92OTqcDi8Wi2UW71ucx95XhcIh2u/1BxTqDoRZM8GGsBKfTCQCo1WpM8LljLKLFSJZlOkFvNBoYDod0slUoFBCPx+HxeFTf/R6v7GGRpncTjuPQaDRgMBgQj8epkPD48WNkMhm8fPkSfr9/Lcus3W43Hj9+vHRPgEajgV6vh2g0qnr0MfEg0qLgY7fbAYzOUc1rkU6nQzQaxdnZGer1+tLTu2w229r6SgwGA3z99dfQ6XQ4ODiAwWDAgwcP4Pf7kUwmIYriwtocK5UKWq0WrFbrUj+zu8qq25f1ej0Vf4DvvH0qlQr978PDQ9oW7HA44PF4libQ3gSZx/T7fTaP0RikFZisjRgMtWGCD2MlkLLXer3O0jLuILdtMSJJGiaTCWazGRzHIZlMQpZlWCwW+Hw+CIKAn/zkJ6hWqxPGy4tg1RNNhrq0221UKhVa9fLgwQMIgjAxhoxGI54/f46f/vSn+Oabb/ALv/ALmt21HUeWZWQyGVq1sIqFusPhwP7+/kJEskgkQo3VtYZer8fTp08Xcm5erxdms1nV9rhpIWOI+PqEQqG1ae/69ttv0e128eLFC1gsFvpzm82Gvb09DIdD+r3OZDJwOBy3/s787Gc/w5dffonj42MMh0MIgoDd3V18+umn+OSTT2517PuOltqXOY6jm1EA8OjRI3AcB1EUUa/XUavV4Ha7AQC9Xo+2oq7qu8PzPDqdDhKJBLa2tjTxHjJG1Go1AFiLlkDGerIed2zGncNut4PjOHqRY9w9ZplMKIqCZrMJURQhiiL14QmFQohGo+A4Dg8fPoTJZIIgCJBlGRzHwWQyoVgsLuolTKCliSZjPgaDAY1rBgCPxwOLxXJlFUokEkE0GkU6nV6L1q5xzx6j0biSFhziyza+uFYbLYo9hEWdG/EXAbAy77tarYZ8Pg9RFNfC0yefz+P8/Bx+vx+bm5sf/J7jOPrd7/f7yOVyyGazcLvdiMVic7UE/97v/R5+9KMfIZ/Po16vQ6fTQZIkpNNpHB4e4rPPPsPnn39+69d2n9HKPZi0R52cnMBisSAcDoPneUQiEUiShHa7Tb8jtVqNphWazWZq/myz2Zb2ei6GUTAvH+1A1kKswoexKNg3nbESdDodHA4HE3zuMf1+n/53KpXC0dERcrkcer0e3G43NjY2JhasNpsNgvD/s/deTW5caZr/kwnvvQeqwPKWRiIpqY161H2xs7sRE7G3G/vp9gtsxMzFxs7820jdchQpqljewxa89y7zf1GTKVSxfAHITOD8IhQii6jMgzTHPOd9n1eOUCiE9+/fIxwOw+VyoVqtjqziG5kcSROWZZFKpbC9vY1sNguDwYCVlZU7iRLr6+tQqVTY3NxEs9kcQWsfxmWDZiHEnnq9ju3t7aG9j9VqFblcjk/nHAQqlWqgIk1/+ukwqNfr2N3dHdrxb8JiscDn86HRaIi+ZDuXyiWXy/H8+fNbBTKlUonV1VWYTCYUCgVsb2/j7OwMDMPc+Zxv377Fv/3bv+H4+BgKhQJLS0tYWVnB0tISFAoFjo+P8a//+q94+/btY78eQWC49Kh6vY5oNAq73X5hfsCldXFYrVZMT0/DarWi0+kglUrh8PAQoVCI/0y73b5TCfiHwkUqK5VKEqksMkqlEjQajag3MwjSRtzbM4Sxxmw2IxwOo9FoEB+fCaDdbvNmh9xi5dmzZwDOFxIKhQIGg+FGw8PLXjoejwfhcBjJZBJzc3Mj+y4EaRGPx5FKpaBSqRAMBu8VNi2F1C4hq3H1E41G0Wq1huZZkc1mkcvl8PTp04GdYxj9RigU4j08Bo1cLker1UIsFsPy8vLIn0WpVO+6LpXrJlQqFebm5lAulxGNRpFIJNBut+9sbvvnP/8ZqVQKFovlQqq6QqHg/55KpfDnP/+ZpHZJHE48SSaTMBgMt5rtKhQK2O12vqpXo9FAuVy+kPZ6eHiIbrfL9x0Gg2HgAgCJVBYfvV4PlUqF71sJhGEgvlGaMDFwgg+nbBPGk06ng4ODgwvREVxIMxdSfFdT0MteOi6XCzKZjAg+hI9oNptQqVSgKAoulwtyuRxOp/NBE12xp3ZFo1HBxZ5CoYBqtQqHwzG0/rxcLkOj0QzcCHqQcP0ZV01s0IKMUqmEy+VCIpFANpsVJJKrX/QJhUKi63tvS+W6DaPRiJWVFWQymQui3U2bU/l8HkdHRyiVSlhaWrryM3a7HXt7ezg6OkI+nydGzhInGAwimUyi2+3C5XLd63c1Gs2FZ4llWZjNZpTLZRQKBRQKBQC/ipCD8kMjaVzio1QqgWVZks5FGCpE8CEIRn+lLqJsSx+WZVGr1fhKWi6XC2azGQqFghdquF2rxyzYLu9QORwOpFIptNvtR5VhJ4wH3W4XiUQCmUwGfr8fTqcTCoXi0X3M06dPkc1msbm5CbvdLiqR2uv1Qq1W33vRMSgYhkEsFoNMJhtaWdlGo4FOp8OboA4KzgNskMKJ0WhEpVJBtVq9kNYxKNxuN1+m3WKxCBJh43a7QdO06BYp903lug6KouB0Ovm/5/N5nJ6ewm63w+v1fjSG1Wo1dLtdyGSya8c3hUIBmUyGbreLWq1GBB+J0+v1kM1mYbVaHx2JQ1EUfD4ffD4fX7SC+4+b11SrVUSj0Qv+P/d5vklJdnFCDJsJo4AIPgTBMBqNxLh5DCgUCsjlcqhWq7y3hkwmQ6fT4T+zvLw80HP271C53W4kk0mkUqkHRV7cZ8eL7I6JF5Zlkc1mcXZ2hm63C51ON9CKRkqlEs+ePcObN2+wsbGBzz77TNDULoZhUK1WYTQaoVAoBBN7APCCayAQGJr4UKlUAAy+HHs6nQYwWMGHE3nK5fJQBB+apuHz+XB6eopEIiFYxFm/IFKtVnlTfSHhvLaeP38+UONwjUYDg8GAbDaLQqEAj8cDp9PJ9wE6nQ5yuRy9Xg+dTudK0afT6aDX60EulwtSbY0wWDg/sUFvWMrlclgslo/E7U6ng1arhWQyiWQyyUcTWiwWPlXsOi6nw5O0LvFQKpUAEMGHMFyI4EMQDGLcLD06nQ4qlQo6nQ6/wKzX6yiXy9DpdHwEj06nG9limGtHMpm898Lnth2vfoGH7I6Jl2aziZOTEzQaDSgUCjx58mQou+cejwd+vx+xWAzRaBRTU1MDP8dd4Dx7arUalpeXBY824qpyDTO9qFwug6KooQgog0ar1UImk/Ei1TCwWq3IZrOiWLS1220cHh5CpVIJ6umTTCYRjUbhdDoH/m5qNBosLCzw1ZZisRgymQxmZmag1WphtVoxNzeHeDyObDZ7wcOHI5vNwmQyYW5ujkT3jAGJRAIARhahbrFYYDabef8fLpqa8wcCziMWKYqC0WjkI4O4eUx/OrwY+g3COcViEWq1mhg2E4YKEXwIgsL5+DSbzYHlKBMGB8MwfFhxuVxGo9EAcL7DzO1uulwuuN3uoRm13oZarYbFYkE6nb53tM5NO179As/U1BTZHRMxCoUCDMPA4/HwqSbDYn19HZlMBltbW0P1q7mOywbNQos9wPmCx+VyDVXk5QxMpfDecelAwxa95+fnRWEgrlQq4fF4BDVybrfb2NjYeHQq122YzWaYTCakUimk0+kLkTx/+tOfsLe3h+PjYwDnnj0KhQKdToePDJqdncWf/vSnobSNMDq4yo86ne5O/oODghPXtVot3G43GIa5ULUwmUzyFVDVajWKxSI6nQ6mpqYwMzND5i4igzNsFjJClzAZkLeeICj9Pj4E4eF8eLhyu+12G0dHR0ilUuh2u7BarQgGg1hbW+Mn1HK5XDCxh8PtdqPb7SKbzd75d7gdL7lc/tGOV78YxHl8XPfZq7hPKd+7MOjjSZ1er4d4PI54PA7gPFpwdXUVXq936JNZLrWr0+lgY2NjqGV0LyOWalwczWaT7yuGLTy4XC7RmWXfhNfrvTLKY5Bw17zX6/FivFC43W5BS7ZzVbnW1taGLoJSFAW324319XVe8EmlUnC5XPjv//2/Y3Z2Fp1OB3t7e9jZ2cHe3h46nQ5mZ2fxL//yL6RC1xjAbYC53W5BRVeapvkND+A8ff7Jkyew2+3odrs4PT1FKBRCPB7nP8MZyhOEhzNsJulchGFDInwIgsJ1cqVSiRg3C0Sr1boQHtzr9RAMBmGz2aBWqzE1NQW9Xi+KSILrcLvd2N3dRTKZvOArcRvXlSjlxKDNzU0AQCQSuXM500GnfpFUsotwZrWdTgdarRZerxcURY100u3xeBAIBBCNRnFwcIDFxcWhn5NlWVGJPQBwenqKTqeDtbU1smssECzLYm9vDyzLYnV1VdDF5+WS7UtLSyN5Lk5PT4eWynUT/deaG0Pn5+fxP//n/8S7d+9wfHyMbrcLuVyOubk5/OlPfyJiz5iQTCYBjC6d6yYuzxGsViusVisCgQDUajWi0Sj8fj9omkapVMLR0RFomubLvxuNRhJhLxDEv4cwKojgQxAUYtw8evpLBZ+cnPDlPwHwPjz9ZpdClP29LwaDAVqtFslkEuvr6/da9Fy3IJmamkImk+Gjfe4i9gzaGJEYLf5KrVZDNBpFrVaDXC7H9PQ0bDabYAvcp0+folQqYW9vD0ajcSTRHFarFTqdThRiTzabRb1eh8vlGvozub+/D5lMNpTy34M2ge4nFAqhXq9jZWVlaOegKAo2mw3xeBypVErwBSh3fpZlR9JXcZXztFotPv30U8H6g/n5eeTzecRiMVitVvzLv/wLdDodaJqGTqcjnj1jRiKRgEKhEPy+XjdH6BeB/vjHP/Lvolqthtfr5QVKTnAwGAxYWFgAcHGOSBgu3NpHbNUOCeMHEXwIgiKTyWAwGIjgM0S4aj6cD49MJuMHdqPRCLlczpstC52a9VC4EPuTkxNUKpWBLOJomobD4bizyeFNxogPre5FjBZ/hfP6crlc8Hg8gj+rcrkcn332Gb7++mu8e/cOX3755VDEA4ZhwLIsZDKZaMRXLqVOLpcPXejq9XqoVqtD2wEdZpoYRVFoNBpot9u8geowcLlcyGazSCQSsNls15YFHxX9ohPDMGAYZiiePrVaDT/99BNomsZnn3021Gt8F6xWK8xmM181stfrXUh/JowHjUYDpVKJj5oRkqvmCFeJQBwqlQoejwcej4fvW8vl8oV35/T0FM1mk48AMhgMgn/PcYUzbCYRVoRhQwQfguCYzWZEIhFi3Dxgms0mIpHIhXxtuVx+YSfhtlKeUoITfBKJxMAW3g9N4+r/ncemZN21DeMGwzAolUp8adpgMAiapkXVR2i1Wrx+/RrffvstfvzxR3z55ZcDrbTBefYA5xEEYnkGkskkut0upqenhy68Dasc+ygwGo3IZrMol8tD7WspioLf78fx8THi8bhoUj9ZlsXJyQna7fbAjZy73S7evHmDdruNzz77TDTPB03T8Hq9sNvtaLfbvNhTLBYlvalC+JVUKgVAHOlcwMdzBE4EymQyN24UyWQymEymj6JLFAoFqtUq0uk00uk0KIriI0t1Ot3Qv8+kQAybCaNEHLNHwkTT7+NDeBjtdhvZbBYnJydotVoAzgfzWq0Gg8EAv9+P5eVlPHv2TDSLgUHDmSpzufUP5bJB8n3TuPqjea76t4cgloX+qCgUCtje3sbJyQmq1SqAc3FFTGIPh81mw7Nnz1Cv1/HTTz8NzGC736CZSw0RA61WC6lUClqtFjabbejnK5fLAIYn+ESjUUSj0aEcmyshz32HYWI2m2E0GpHL5VCv14d+vrtAURT0ev3AjZxZlsXPP/+McrmM5eVl0Sy8+1EqlXz1pmaziePjY2xvbyOXywncMuGRehGCRCLBV+ITC4McHwKBAJ4+fYqVlRUEAgEYjUbU63X+HN1uF8fHx8hkMvx8k3B/yuUyWJYl6VyEkUAifAiC01+piyjdd6dUKqFUKqFcLl8YdM1mM1QqFRQKxVDL04oNmqbh8XgQjUZRrVYfVCr1LtE4l9Ozbkq7IilZ96Ner/P3TyaTIRAISGJHcXp6GqVSCaenp9jc3MSzZ88edTyxVePqR6lUYmpqCmq1eiR9C5duMMjIqcvHHxZyuRxarZaPUho2fr8f5XJZVAb7l42cBxHps7e3h0QiAZ/Ph/n5+UE0c6ioVCpMT08jHo8jFAohnU4jEAiMtJy3WJB6EYJWq4VMJgOn0yl46uR1cBtN3P/9fv+D3jmNRgONRgOn03nB16der6NYLPJWDEqlkjd/5iJyCbfDXT9i2EwYBUTwIQiOyWQixs23wLIsn5rF7XRnMhmUSiUolUrY7XY+17p/YJ8UsYfD7/cjGo0iFothaWnpXr97F4Pk6yarN6VdTWpK1n1Jp9N8pIXD4YDX6x2K78ewWFtbQ7VaRSgUgtFoxJMnTx50HDGLPcB5nzKqVNBOp4NWqyXp1FOj0YhkMolGozF0IYZboImNQYo+3DFMJhNevHghiTGOe2csFgsSiQTS6TT29/fh9XqH7oElJsahCEE8HgfLsqLrl/vp32hqNBrY2Nh4tMDW/54ZjUY8f/6c94Usl8vIZrNoNBq84FOpVMCyLPR6veTu8agggg9hlEhnNk0YW4hx89U0Gg1+MK1Wq2AYBlqtlhd8fD4fAoHA0Ha+pYjD4YBKpUIsFsPi4uK9q3XdFI1z22T1pkkNmfBcTf+uocFg4NMP+6vESQWapvHy5Ut888032NzchMFgeJBQwTAMer2e6MQelmURi8XgdDpH1ucoFAo8ffqU9yCTIk6nEw6HY6SGwp1OB8lkEj6fTzR9Dyf6cJUPH0KxWMT79++hUqnw2WefSc4PRyaTwe/3w263IxaL8Sl/wGRURhqHiNdYLAaZTCbKNMJ+gsEg/H4/NjY2hiKwyWQymM1mXqxot9sXUjaTySTK5TKf1slFAElxbB8WpVIJKpVKlKnqhPFDer0tYSwxm81oNptoNptCN0UwOp0O/+disYidnR3EYjFUKhXodDr4fL4L1RY0Gs3Eiz2XFw6ceWmtVrtQbv6uBINBvHjxgt8J447PpXFZLBbI5fKRTFal7nNwG6VSCTs7O8jn8wDOn+eFhQVJTwiVSiVev34NmUyGn376CbVa7d7HkMvlWFxcFJXYA5wv1NPp9Mg9SBQKheDVlx6DEO0vFotIp9OP9jMbNG63GysrKw+6Hs1mE2/evAHLsnj9+rUoI5nuilqtxtzcHJ/SVS6XsbW19aAxS2pcHmOlRLVaRaFQgMfjkUT0KTdXGcWcRalUXhi7/X4//H4/DAYDarUa4vE4dnd3kc1m+c+02+2htUfs9Ho9lMtlEt1DGBni77EIE4HFYkEkEkE+n4fX6xW6OSOhvyRmuVxGs9nE8vIytFotDAYDXC4XjEYjCYm9huvSq7hqNbFYDFar9d7HvVxdi0vF4P5vMpmGPlmVus/BTTSbTcRiMZRKJdA0jV6vJ3STBorRaMSnn36KH3/8ET/++CN+//vf3+r1wDAMjo6O4HA4YLFYRBe50O12cXZ2BqVSOdKd7UwmA6PRKHlhu91uo1wuw2q1jqQvt9vtyGQySKVSsNvtohLMuGe7XC7j7OwMc3Nzty6ee70efvrpJzQaDbx48eJB/bqY6Xa76PV6ODk5gV6vRyAQkLTwfRtSnc/EYjEA56bGYuWyxyAX6TNqgYpLL3W5XGAYBrVaDeVymY9Qb7fb2NzchEql4u0IjEaj6Ma+YVEoFMCyLPE8IowMafa6hLGDS33oV//HmePjY2xsbODo6AjpdBq9Xg82m40P6eZCv41Go2QnR8PkpupXJpMJer0e8Xj8wVEy3PHb7TZCoRCazSZCoRDC4TB++OEHnJycDOqrXHvux1b2Ehu9Xg+xWAw7OzsolUqwWq1YW1uDw+EQumkDh4tkqFQqePfu3Y33kPPsqVQqD4oIGgVnZ2fo9XojTRGq1+uIRCLIZDJDPY/T6Rx6tZ1CoYBwOMxXnBs2XKQjwzD8IlVsNBoN1Gq1W6t3sSyLjY0N5PN5zM7OXohyHRf6+8JqtYrd3V2Ew+GBVTUjPB4upVWlUonSU4xhGIRCIbx//x6hUIj/eSgUwsbGxoWfjRqapmEwGODz+XjxmWVZ2O12sCyLTCaDk5MT/PLLL9jf3xesnaOEi5QV47NEGE9IhA9BFOh0OqhUqrErWdpsNlEul1GpVKBWq+Hz+QCch9pyOc1Go5Hk8N6Tm7wAuMXO3t4eMpnMgyq/9R8/GAxCrVZjamoKkUgEOp0OhULho/Lrg1oIj4PPwVUwDINMJgOtViuZ6luPYW5uDpVKBdFoFD///DM+/fTTjzw6xG7QDJwvzDOZDPR6/UgjK7jKVsMqx84xCsGxvzz7sL8Ph9FohNlsRqFQeHDVwmHicrnAsuyNRs4sy+LDhw+IRqNwuVxYXV0VqLXDRy6XY2pqCg6HA9FoFLlcDi6XSxKpQ5NAsVhErVbDzMyM6MbkUCiETCaDZDIJp9PJ+/UAEK1JNle5DjivfMbNk/tJJpOoVCr8PFnKaZyXyWazkMlkJMKHMDLISEIQBRRFweFwIBaLodVqSTqEv16vI51Oo1wu8748FEVdGGi5gY7wcG6qfsUJPtxC4bHH5wSdk5MTFAqFC0LMMNKvxqWyV6VSQafTgdVqhUKhwNLS0lhN2m6Coig8f/4c3W4X8XgcNE1fqCokBbEHAO8rMuo0hn7DT6mj1Wohl8tHVp6dw+/3o1QqIZ/Pi/I63lS9i2VZbG9vIxQKwW6349WrV2Nvagz86mXWaDT4jaBisQiKomAymQRu3eTCVZAUWz/dX4IdAO81yM0dLBbLR3MWsaFSqeBwOD4S3zudDl8JDPh1o9ThcIiyP7srvV4P+Xxe1PeEMH4QwYcgGmw2G2KxGHK5nGR8fBiG4X14fD4fKIpCr9dDLpeDWq2GxWLhfXgmJTd5lFw3WOp0OlitViSTSXQ6nVs9VG47Pvf/mZmZjyJ7hrWD1n+cQUYQjYJWq4V4PI5CoQC5XA6z2QyapidG7OHgKne9efMG0WgUNE3j2bNnoCiKr74nZrEHALxeLywWy0jvHdevjsK/7OjoCMB5RNYwMRgMKBQK6Ha7I4vaUKlUWF5eFvV71y/6FItFPs1jd3cXx8fHsFqtkqzI9Vj67xm3EWY0GhEIBEhE8IhhGAbxeBx6vV50Jrv9EcHr6+tgGAaFQgEnJyegaRqFQgEWi0WSXoCBQAA+n++C12U+n78gfMbjceh0OhgMBsn0EVyEOEnnIowSIvgQREO/j4+YBZ9arcbvOlSrVb5ksNlshl6vh16vx/r6uqiMMicRv9+PfD6PZDI50OiEy6XYh51+JSUDZ4ZhkEwmkUwmwbIszGYz/H6/pMSqQUPTNF69eoUff/wR4XAYMpkMa2trMJvNWFxcFO1OZX+Z6FELBrVaDQzDjCT9qdVqDf0cwHmKVaFQQKVSGWkYf/+9E2vpb7fbzY+dAHBwcIDDw0NYLBZ8/vnnE5/WtLi4iHg8jlwuh52dHTgcDni9XskscKVOJpNBu93GzMyMKN8fLiIYAN6/f49IJILt7W2YTCa43e6PUtClBE3TfEoXcB71wz33zWaTr0RIURQv/BiNRuh0OlHeK4D49xCEQXpvP2Fs0el0UKvVovPxabVaF8rFn5ycIB6Po1arwWAwwO/3Y2VlhZ+sUhRFxB4RwEVccaHYw2KYZWalZuB8cHCARCIBtVqNhYUFzM7OSjo9c1DIZDK8fv0aNpsNJycn2NraAsuyohV7ACCVSmFvb0+Q0rlc+sqo/G5GAbdoEWKR3u12cXBwgHg8PvJz3xXuXdjf38fe3h6MRiO++OKLB0dnjhMKhQLBYBBLS0vQarVIp9PY3d3lN5sIw4UzPhdzJCZN03w6Fzc35X42TqlDCoWC/y5qtRqrq6sIBAIwmUxoNBpIJBJ81Cbw8fxdDHD+PWKLFiOMN5O9bUIQFRRFwW63C+7j0+12+QiecrmMdrsNq9WKJ0+eADgPM5XJZNDr9aLdQSAASqUSLpcLyWQSzWZzYGHwV+2UDWsyJQUD53a7zQucLpcL3W4XdrudvBuX4O5lpVLByckJWJbF+vq6KK9Tp9NBIpGAQqEQZMGt1+uHnmI1apRKJebn5wU5t1wuR6/XQzqdht1uF2VKEMuy2N/fx/7+PhQKBelDrkCn02FpaYnfFOOuT38fTBgs3W4XiUQCFotFEoUGZmZmAID37RkHL8CbUKvVUKvVcDqdYFkWtVoN7XabfzfS6TTS6TQUCgUvuhsMBsGEZOLfQxAKIvgQRIUQPj79Ye7ZbBbhcJj/N85Mrl+JJ6q8dPD7/Ugmk4jFYgNZQAqRXiVWA+dOp4N4PI58Po+VlRXes4rwMZxBc71ex8rKCmKxGE5PT8EwDO/pIybi8TgYhoHf7xdd2wgPIxAIYH9/f2B94SBhWRY7Ozs4OjqCyWTC7Ows0un0tdW7Jh2bzcb/udPpYHt7G0ajEX6/n0RUDphEIoFerzdy0/rHcNlrcFK4yuSfm6+Xy2XkcjleLPX5fLx/2ChTXYl/D0EoyChKEBWj8vGp1+t8FE+tVsP6+jpkMhm0Wi1vtGwwGMjkSeK43W4oFAqEw2HMzs4+alC/zqB5FBMrMU3cGIZBOp1GIpHgfVaIKHA9V1Xj8vl8ePPmDcLhMHq9Hl68eCGae1yr1ZDL5fiy3qOmUCggkUhgenpaEjvq96HZbCIUCsFms42kHHw/er0eVqsV+Xx+pOXhb4NlWWxtbeHk5AQWi4VP41IoFDeWbCf8islkQqFQQKlUgsvlgsfjEU1/InVCoRBomobP5xO6KfeC3P9zDAYDDAYDgHNxlIvc58YWlmXx4cMHaDQa3v9Hq9UObU6TzWYBEP8ewughIyhBVHA+PlynOEhYlkUoFEK5XEa32wXw645At9vlBR8uJJYgfWQyGaampnB8fIxcLveoQfaq9CopGSoPgnK5jHA4jHa7DZVKxefOE64nGo1+VI1LLpfjs88+w9u3bxGLxcAwDD799FNRTNKj0SgoihLMr6JcLqPRaIws5H6UO/cKhQK1Wg0KhWLkgg9wvqtdLBYRjUaxsrIiuFDLLbY4Eeyzzz7j73t/9S5OsCd8jEKhwMzMDCqVCqLRKJLJJL8hQaKRHwdXFcrv95OUuTFAoVDAZrNdiJDr9XrQ6XSoVCqoVCo4OzuDTCaDwWBAMBgcuOdaLpcj/j0EQSCCD0FUDMrHp9fr8RE83M4mRVFoNBpQKpWw2+0wGAwjKftLEJbp6WkcHx8jFAo9elelP73qtpLs4xhSTVEUer0e/H4/nE6n4AtGKeDz+aBWq+FyuS78XCaT4dWrV3j79i3Ozs7Q7Xbx8uVLQU1qGYaBRqOBTqcTrJR3uVyGSqUa2QJrlJEuMpmMX1wIUTFLqVTC7Xaj2WyCYRhBqzz1ej28f/8e8XgcDocDr1+//iiKx+12QyaTEVH5DhgMBiwvLyObzeLs7IwYOg+AUCgEALx/I2H8kMvlmJubA8uyqFar/LqhXq/z/WOpVEKxWOQj/x8abUj8ewhCQgQfguh4qI9Po9FAoVDg07Q4WJaF1WoFACwvL5NF6oRhMBhgt9txdnb2KBGRE3C4gfomQ+Vxifzpdrs4OzuDxWLhQ6O59EfC9TAMg2q1CqPRCLlc/pHYw0HTNF6+fImNjQ1EIhF88803+OyzzwSr3kXTNKanpwU5N3BeUaXdbgsS/TIqjEYjarUa6vW6IClrHo9n5Oe8TKPRwI8//ohSqQSPx4NPP/302j6l/1moVCrQaDQkvesaKIqCw+GA1Wrlr2ej0UAqlYLP5yMVz+5Bt9tFNBqFwWCQlDfdOG40jQKKovg5jtfrvSCYVqtVZLNZPvNAq9XyKc/36cOJfw9BSEivQBAd/T4+N9FoNC6UcK9UKkgkEmg2mzCbzZiamsLa2tqFBQwReyaTYDAIlmURiUQe9PuhUAjv37/nd/z6j3u5JLvUSqlfBcuySKfT2NraQiaTQT6f5/+NiD03w3n2cCbNt0HTNJ4/f461tTVUq1V88803SKfTI2jpRarVquDParlcBgDec2EUbG9vY3t7e2Tn4yKKuO8qFCzLolKpjPy8+XweX3/9NUqlEhYWFvDq1as79SmtVguHh4c4ODjgU7IJV9N/PfP5PHK5HLa2tpBMJgV/x6VCPB5Ht9tFMBiUzLzxunkK4f7033Ofz4f19XVMT0/DYrGg3W4jmUyiVCrxn8nn87eO98S/hyAkZJuEIDqu8/HpN1yrVCrodDoAzg0L5XI5XzZzmIZrBGni8XigUqkQCoUwNzd3r+eDE26uS926qkS72Eup30S5XEY0GkWz2YRSqeQnOYTbuWzQrNVq7/R7FEVhdnYWBoMBP/30E3744Qesrq5iZmZmJH1Zu93G4eEhDAaDoBWcOAFCLIbCw0Cn04GmaZTLZUGjbcLhMHK5HFZWVkaWvheJRLCxsQGKovDy5ct7GeGqVCp4vV5i5HxPfD4f9Ho9YrEY4vE4MpkM/H4/6dNvIRQKQSaTSaY6120p5oTHwVlBcGJNvV7n+x+GYRAKhcCyLORyOW/+bDQaL6QmE/8egpCQ0ZIgOvp9fOr1OrRaLRiGwebmJh9mqdFoYLVaYTAY+EGNq+xBIFyGpmlMTU3h8PAQ6XT62hSby3CpWY1GAxqN5s4Czk2l1MUcct1ut3F0dASKouD1euFyuUTbVrFxVTWu++J0OvGHP/wBP/74I7a2tlAul/H06dOhR1VxxtF3fS+GxfT0NBwOx1hHkVEUhfn5eajVakHb4XQ6kcvlEI1GsbCwMNRzsSyL7e1tHB8fQ6PR4PXr1w9a9PQbORPR5+6YTCYYjUa+uuLJyclIhT6pUSgUUCwWMTU1JYk5JTenkPJGk9To38yhKApzc3O8/0+hUEChUAAArK+vQ6lUotPpEP8egqCQkZIgGliWRb1ev1BFKxQKYWVlBTRN81EaBoNBEoMwQVwEg0EcHh7i9PT0Tgvb/h0zjUaDZ8+e3WtxcdWgPmhvn0GIR71eD61WC1qtFkqlEsFgEHq9nlQluQcsyz5a7OHQ6/X48ssv8fbtW0QiEVSrVbx69WpoAkG1WkWhUIDZbB5pKtVVcNVRxh2hPJr60Wq1sNvtyGazKBaLQ9t17nQ6ePv2LdLpNKxW66Of5cuiz9LSEllA3QGKouByuWCz2VAsFnmxh6uIR4SzXzk9PQUASVRsvTynIJE9o4eiKD6ix+fzodvtolKpoF6v8/OoSCQChmHAsizOzs74ojEkG4EwKkgPTxAFqVQKiUQCvV4PwK/5s/3my2IwmyRIF61WC4/Hg0QigWq1euui6/KO2eUJ8X3FlkGHXD9WPGJZFrlcDvF4HBRFYW1tDTRN8wbnhLtDURRsNht0Ot1AypkrFAp8/vnn2NnZwdHREb755psHR0XcBMuygpdh56jVaqAo6s5pcFKn0Wig2+0KKnB5vV4UCgXEYjEYjcaBLxQrlQp+/PFH1Go1TE1NDSxajRN9gKuFdcL1yOVyPi2FZVmcnJyg0+nA6/XC4XBM/AK01WohHo/DarWKvjocSeMSJ5zFRH/aZLVa5f8tkUggkUiApmm4XK57FachEB4K6RkII6Xb7SKfzyMUCuHg4ID/uVwuh0ajgcfjweLiIl6+fAm1Wi2IqSRhfOHKq97V1PAqU2bu9+9rjsgJSHK5/NFhvY81hq5Wq9jb20M4HAZFUfD5fGSi+AAYhuFFarvdPlDRhKIorK6u4sWLF2i1WvjHP/6BeDw+sOMDvxpNulyuB1evGxTxeBz7+/sTU0768PAQ0WhU0DYoFAp4PB60Wi1kMpmBHjudTuObb75BvV7H2toanj9/PtBUPbfbzQs/DMMQI+cHwKXuymQyRKNR7OzsCG4mLjThcBgMw0giumeQcwrCcKlUKpDJZHj58iWWlpbg9Xqh0+kubCQeHx/j9PQUuVyO9yglEAYFifAhDJ1er4dEIoFyuYxGo8H/XK1Wo9frQSaTwWazwWazXfg9zsfnMaW0CYR+7HY7DAYDwuEwlpaW7hTGfnkS1S+2ZDIZTE1NXfm5qxhUyPVj8vXD4TCy2SwoiuIXTePsmTIsOM8elmWxsLAwtMn21NQU9Ho93rx5g7dv36JSqWBxcXEgO/EWiwWdTkfwMuhcGXuDwTDyCAOhTKoNBgPy+Tw6nY6gKcpOpxMsyw6scgwXNbK1tcVHqjmdzoEc+7rzHR8fo9PpEE+fB2CxWGAymZBKpZBMJnF4eAiz2YzZ2VmhmzZwbovK5cx3VSqVZCLKSRqX+On1eigUCrDZbJDJZNDpdNDpdBeeMZZl0W63Ua/X+aqoarUaRqMRbreb2FgQHg0ZGQkDhfPhqVQqMBqNfMWsTCbDp4sYjUYYDIZbPUI4wSedTkumUgJB3FAUhSdPnuDDhw+IxWIPSoXixJbNzU0AwHfffQeNRgOLxXJhV/C6yeV9J2Zc9M7l33voRE+tVsNsNsPv9xMh9YFcNmge9mTbarXiD3/4A968eYP9/X3kcjm8ePHi0elPNE1fSI8Rimq1CpZlBanOJdQ7YDQakc/nUalUBE2j5ITfQdBsNrGxsYFkMgm9Xo/PPvts6H5FFEXBYDAQI+dHwHkk2mw2xOPxsfRvu0sKdDKZRKPRkJwvlJTaOolks1kwDHPjxgpFUVheXkan0+HNn8vlMtLpNC8MtVot5PN5GAwG6HS6iU+/JNwPMioSHk273b5QLp0LrWYYBlqtFjRNY2Vl5d4Ta85YN5lMEsGHMDACgQB2dnZwcnKC6enpBw2aU1NTSKVS6Ha7OD09hUajwe7uLoBzo8dBmTOHQiFeWFpfX//oWHeZ6OXzeSQSCSwsLEChUMDlcglejUnKDKIa10PQaDT43e9+h62tLYRCIfzlL3/B6uoqgsHgvZ/hZrOJdDoNr9crisUxl0YihODTarUAjF744b5ruVwWhW8WF4lrsVig0+nu9bssyyIWi2FzcxOdTgc+nw/Pnj0b2a40qd41GJRKJZ/2DJw/E/v7+3A6nbDZbJJdYN7V6+bk5AQURWF6elqAVhLGlWQyCQB3mncpFApYrVZ+TGi1WnxfViqVcHZ2BuDXAgdcCXihqz4SxA+RhQn3ptvtXjBTTiQSCIfDKBQKUKlUcLvdWFhYuBCu+JDJtFqthsViQTqdvrdHCYFwHXK5HMFgEJVKhR+I70skEsHm5ibevHkDhUKBRqMBnU6HQqHATyof6q/DwTAMMpkMcrkc8vk8MpnMvY5Vr9exv7+P09NTdDqdC+mUhIchlNjDIZPJ8OzZM3zxxRdQKpX48OEDvvvuO9Tr9XsdJxaLIZPJoNlsDqml96NcLvM+bqPm6OgIR0dHIz+vQqGAWq0WjWdKp9NBOp2+t69Qs9nEmzdv8PPPP4Omabx69QovX74ceQqC2+2Gz+dDo9HAwcEB8fQZAM1mE91uF+FwGHt7e7zxrNS4i9dNLpdDLpeD3+8ni2fCwGBZFslkEjqd7kEG/f1rJ4fDgcXFRXg8Hmg0GpRKJUSj0QvefvV6nfj/EK6EbIEQboVhGNRqNT6Kp16vQ6FQ4OnTpwDOOyEuTWvQu2putxuFQgHZbHaoPgCE8eCulbNmZ2dxcnKCw8NDuN3ue+1cckKMQqGAyWTCzMwMLBYLSqXShUnlQ/x1+qFpGg6Hg/e2cjgcdzpWp9NBPB5HLpcDRVFwOp3weDxkx3sAMAwDhmEEEXv6cTqd+Oqrr7C9vY1wOHyvaJ9SqYRSqQSr1SqK8uAsy0Kj0UxEOfbLWCwWNJtN3stOSNRqNRwOB9LpNPL5/K1RRyzLIh6P48OHD3xUz/r6uqBpolykTzabnRjz72Gi0+mwurqKZDKJVCqF/f19WCwW+P1+yaV93ZYCfXh4CACYn58fZbMIY06pVEKz2cTs7OyjI+QoioJer+fH7V6vh0qlcmFuFwqF0Gg0oNFo+FLxer2epP0RiOBDuBqWZUFRFJrNJnZ3d/nIAq7coNFo5D+j1WqHVkrX7XZjd3cXyWSSCD6EG7lPGpVarcbU1BRCoRCy2ey9TGs5IYZbEDkcDgSDQV5sYhhmYEaK3HG4896FSqWCXC4Hg8GAQCDwqKiJ+5aeH3fkcjkWFxdFcU0UCgWeP38Or9eLX375BR8+fMDZ2dmN3j5c6g1N0/D5fCNu8dVwvlqTiNjK8Xq9XuTzecRiMZjN5muf836vHqVSiVevXonmu7jdbjidTlG8o+OATCaDz+fjPRULhQL0ev3Q5mPDHHOuO26pVEIqlYLH45lI4ZkwPFKpFIC7pXPdF5lMBrPZfOFnLpeL35xPpVJIpVKgKAqLi4t8qi63diNMFkTwIQD41YeHMwsLBoMwmUxQqVQwGAzQ6/UwGo3QaDQj7SgMBgO0Wi2SySTW19dJJ0W4krvm6PczNzeHUCiEw8PDe1cpukqIoWl6YN49/dxl8lssFqFSqaDRaGC1WqFQKB49cR3Gd5EiDMPg6OiIryQotoXkVdE+a2trV/pTcWlcXq9Xcjv0hOEjk8ng9XoRiUSQTCY/EnHEGNVzFdw7WiqVkEgkMDc3RyIcH4lKpcLs7Cyq1Sq/cGy326hWqwPzoBJqzBF7dA/ZeJEuiUQCCoXioyrEw6K/4nGj0eDXddzGX61Ww+HhIZ+VYTQaRdd/E4YDGQEnnGQyiVwud8HLQavV8uHQFEUJVraWO7/b7cbJyQlf+YtAuMxDypTrdDr4fD7E43EUi8WPdkrucs5+HiI6PZZGo4FYLIZyuXyhlO5jxR4hvosY6ffsGVYU4yDoj/Z5//49NjY2cHZ2hufPn19od6lUglKpFJVp9/7+PoxGo2TKIA+adDqNXC6HpaUlUWxo2O12ZDIZlEoleDwevk3NZhMfPnxAIpEQXVTPdTQaDdRqNWLkPED600ATiQSy2SwymQz8fv+9zb77EWrMqdVqiMfjcDgcsFgsQz/ffSEbL9Kl0WigVCrB7/cLMn/SaDTQaDQXxnuGYaBWq1EoFFAoFACci7kWi0U0Ub+E4UBGvwmBZVneh4dlWf7F7na7YBgGdrudV3vFNiniBJ9EIkEEH8K1PCSNan5+nq/s8vr160ed/yGi00PpdrtIJBLIZDJgWRY2m22gg/Uov4tYEdqg+SE4nU788Y9/xNbWFiKRCP76179iZWUF09PToGka8/PzaLVaormfzWZT9GLasOn1eqjX66jVaqLwVOI2eRQKBSiK4tMAt7a20G634fV68fTpU0nsCpPqXcPF5/OBpmlkMhns7e3x49BDDLuFGnM4w3YxRveQjRdpM8x0rodiMBiwtLSEbreLSqXCZ3X0Gz0nk0n0ej0YjUbodDryzI0JFEuc7caWbreLfD7Ph/RxPjxKpRLr6+sApJHLyTAM/u///b/Q6/X4wx/+IHRzCGPGDz/8gFQqhT/+8Y/3ioy5Lsx62OHX3W4X29vb6Ha70Ov1CAQCQ1swT2oouRTFnsukUin88ssvaDab0Ov1WF5evhCxIQa4qlCzs7P3jrAbF6rVKvb39+HxeEQXMZNOp7Gzs8NHhj179kx0bbwLyWQS8XgcGo2GiD5DoD/SlKZprKysPFgQHOWY02w28R//8R8wmUz4/e9/L6q+kYNE+EiXH374Ael0Gv/1v/7XkVctvC/9793u7i5f+ZOmad7Sw2KxkFRwCUNGvTGi0+mgXC7DZDJBLpej2+0iGo2CoijodDresb1/cSjGAe4yNE3D5XIhHo+j2WySkpmEgTI/P49UKoWjoyO8ePHiTr9z0yRsWJNVrpKPXC6H1WqFTqcbmHfCdUyi2AOcG19LWewBzncV//jHP+Lo6AiHh4f46aefYLFYsLKyArvdLnTzAJxfZ4qiJtooVafTQSaToVwui0ZMKRQK2NnZQTabBUVRmJmZweLiomQn+/2RPlw1RcLg0Gg0mJ+fR7FYRKlU4sWeh1SfG+WYc3x8DIZhMD8/L9q58KAKQBBGS7fbRSaTgc1mE73YA1x875aWlnj/n35vV51OB6VSCYZhkM/nYTQaJTsmTCJE8JEwDMPwL2KlUkGj0QAAPHnyBFarFWq1GvPz8/yEUsq43W7E43GkUilMT08L3RzCGMGZ3EWjUSwtLd1a1eq2MOtB71C2Wi3EYjE0m02srKyAoigEAoGBHf8hjHvkj8lkwtLS0qM8KcSAQqGAx+NBpVJBp9NBLpfDt99+C6fTiZWVFZhMJsHaxrIsKpWK4ONTuVwGAMHShTnBq1QqCV6evVqtYnd3F2dnZwDAL1Y8Ho/kJ/ZutxsGg0Hy77SYMZvNFyL1jo6O+PHqMdUih0G73cbp6SkMBgMvCIqVcR5rx5VMJgOGYUT/bF1Ff/Vlt9sNhmEumLVXq1WEw2EA5xVvOTsQg8Eg+bXmOEMEHwnBsiy63S6vFnMpBwB4F3juxeMYF88bp9MJiqKQTCaJ4EMYOPPz8/jhhx9wdHTEpztex01eA4MMv+71ekgmk0ilUmBZFhaLBQzDCD6gjmuIOcMwiMVi8Pl8kMlkY7EwZBgG0WgUSqUSL168QLvdxu7uLuLxONLpNPx+v2DCVq1WQ6/XEzy6JxqNAgBWV1cFa4PBYECxWESlUhEkta3RaGB/fx+RSAQsy8LtdmN5eRk6nQ7b29uIx+OwWCyC9z2PhXvOuXfd6/WS9K4hwZnDZrNZ7OzswOFwiOp6n56eotfriTq6hyBdkskkAEhS8LkMTdMX1pI6nQ5PnjzhAw4ymQwymQzUajU/jna7XchkMvJuiQhx9LyEa2k2mxeieLRaLRYWFgCArypgMBhEt3syaJRKJWw2GzKZDLrdrmgmDYTxwOl0wmQyIRwOY2Fh4Vb/gWAwCL/ff+E55CJ+BmGwmMvlEI/H0el0oNVqEQgERGHoOq4mkv2ePWq1Gk6nU+gmDYR0Oo12uw2/3w+FQgGFQoGXL19ibm4Ou7u7iMViiMfjCAaDWFxcHKkRLzeWST1yZBBYLBao1eqRv+PtdhuHh4f84tdqtWJlZeVCypPP50MoFEIikZBseuNlisUiMpkMqtUq8fQZEjRNY3p6Gg6HA9FoFJlMBvl8Hl6vd+j9620RqN1uFycnJ9BqtaQyEWHgsCyLZDI5thGFMpkMVquVtxTg1qn94k4kEkGpVLoQ/TPu61SxQ0Y5kVKtVnF6eop2u83/TKfTXdgNHbZ/h9hwu93IZrPIZrNjoZoTxANFUZifn8fbt29xcnKC5eXlGz9/OcqF+3uj0YBGo3l0lZFGowGWZTE9PQ2bzSaaXZJxrN512aB5XMSeTqeDRCIBlUr10Xcym8344osvkMlksLOzg9PTU0QiEczNzWF2dnYkngM0TQse3SMWODFuVPR6PZycnODw8BCdTgcGgwErKytwuVwf9TXcRks6nYbdbh8LDz2r1Yp2u02qd40ArVaLxcVF5PN5xONx3gz2Nh6aNnyXCNRwOIx2u42lpaWxGMMI4qJQKKDdbk9MNoJarf5oXNDr9byvbKlUAnA+zk1PTwuaSj7JkBFOYLjcSC6CZ2ZmBiqVCkqlEhRFweFwkNzI/8TlcmFrawvJZJIIPoSB4/V6odPpcHJywr+HV3E5ysXv9/N/12g0ePbs2b0XD+12G8lkkk8n8ng88Hg8onznx8lEchyqcV0Hy7IwGo2w2+3XCoYOhwNffvklEokEdnd3sb+/j9PTUzx58gTBYHBoi3uGYfgy5GIRM4WGZVnUajWo1eqhiQ/tdhuhUAinp6doNpvQaDRYX1+H3++/8T4EAgHE4/GhtEkoSMn20WK1WmE2m/lqsSzLIhqNwuVyfTTWPjRt+C4RqN1uF4eHh1CpVJiamnr09yIQLjNO6VwPxel0wul0fuQ1y21s9Ho97O/v8xFAer1elPPdcYKMbgKRTqdRLBZRrVbBsiwAQC6Xo9Vq8YLP2tqawK0UF3q9Hnq9HslkUhLl5AnSgqIoLC8v4+3btzg8PLz2/bsc5SKXyz/6+3Vc3rVkGAapVArJZBIMw0Cr1cJut4t+4BsHsQcAYrHYWIo9wHka7Ozs7K2foygKXq8Xbrcb0WgUBwcH2N/fx8HBAXw+H2ZmZmCxWAbatkqlgqOjIwQCgbGJqHoshUIBp6enCAaDA68iVS6XcXJygmg0CoZhoFKpsLa2hmAweKe+RqfT8ank40S/6BOJRDAzMyNwi8Ybmqb5sYPz/shms3A6nfwGx2PShu8SgXpycoJWq4WnT5+KfpwlSJNkMgmVSjXwcVOK0DQNk8n0UVRPq9VCt9tFOp1GOp2+UE3a4/EI1Nrxhgg+I6DVaqFSqYCmaT4Nq1QqoVarXchv7C+XTrgat9uNo6MjFItF0pkSBo7X64XJZMLp6SlmZmaufScvR7n0//26UPTLu5aFQgGxWAztdhtqtRqBQGBsTNalgs/nGyvPHo5isQiTyXQvUZzz3JiamkIikcDJyQlisRhisRgsFgtmZ2fh8XgGIvYJXRmrn1H6Ft0Edy3K5fJABB+WZZFKpXB8fIxsNgvgPJVvdnYWXq/3wffxIc+WmHG73ZDJZIKYZU8yJpMJi4uLiEajSKVSyOVy8Pl8sNvtj0obvikClfOs0ul0E5NuQxgttVoNlUoFU1NTY9NHDgOtVounT5+i0WhciABiGIYXfEqlEtrtNgwGw1ikEgsNEXyGQK/X4x/ecrmMVqsF4HyXjBN8pqenIZfLx2anfFRwgk8ymSSCD2HgUBSFlZUVfP/999jb28Mnn3xy7WevKsV+XSj65V1LvV6PcDgMmUyGQCAAh8NBJgcjggsxNplMkMlkYyf25HI5hEIh+Hy+B4WUcxE/Xq8XpVKJF37evn3Lp0FMT08/yoyyXC5DoVCIYhI3NzcndBMAnEf4ajQaXgx7KI1GA5FIBOFwGI1GAxRF8ZFaj/X9454tv98Pl8v1qGOJCYfDwf+5XC5Dq9WS9K4RoNfrsbS0xBcpCIfDYBjm0WnD1/3ewcEBut0unj17Jpm590O9jAjCQNK57odGo4FGo4HT6QTLsuh0Ovy/ZTIZ3v9HqVTywRFGo5H0zw+AXLEh0Gw2cXJyAuB899But/MPKgepTPIwrFYrlEolksnkrca6BMJDcDqdsNvtiEajmJubuzUKgRN5LBYLCoXClaHoXFgrJwbZbDa02204nU4ycI2Qfs8eocqRDxOGYRCPxyGXyy8sYh+KyWTCixcvsLKygnA4jHA4jMPDQxweHsLhcGB6evreUT/tdhvNZnPgaUvjgNFoRCqV4s3f7wqXGhoOh5FKpQCcG2kuLCwgGAwOrDqKxWLB2dkZEonEremrUqTVauHo6Ii/duP2/cQIRVGw2+2wWCxIpVKw2+0AziPU2u32wObK9Xodp6enMJlMkqnM9VAvI4JwJJNJ0DQ9kPF30qAo6sL73l/6vVKp8EV75ubmiPHzAyCj2RDQarWYmpqC0WgUTbj4uEBRFFwuF6LRKOr1OkmDIwyFlZUVfPPNN9jd3cVnn3127ecuR+7YbDYUCoULoegsyyKdTqNarcJut/MTN6/XO4qvQvhPLhs0j5vYAwCJRAKdTgdTU1MD9adQqVRYWFjA/Pw8MpkMwuEwEokEMpkMlEolAoEAPB4PrFbrrZFqlUoFgDjSuYDzXUQAopigc4JPuVy+VaRhWRbFYhGJRALRaBTNZhPAeXGD6elpuFyugUcG0DQNv9+Pk5MTxOPxsUuLUalU8Hq9xMhZAGQy2YUx8ezsjK/IOohneX9/HwzDYGVlRRLRtI/xMiIIQ6fTQS6XIxt5A4JLteXSbdvtNsrlMvR6vbANkyjkiRwCXHUtwnDweDyIRqOIx+OYn58XujmEMcRiscDr9eLs7IwXcq6CM4nc3NwEcL5ofPHiBT8xK5VKiEajvBk7iWoQhnGuxsXRarWQSqWg0Wj4XfJBQ1EUX32j1WrxqUPHx8c4Pj6GUqmEy+WC2+2Gw+G4stQ4y7JQqVSiKcmeTqcBiEPw0ev1N24SdbtdZLNZJJNJJJNJPl1co9FgaWkJU1NTA4vmuQ6LxQKDwYBsNguHwzF2my6kepc4MJlMKJfLvPDj8/kenJJYLpcRiURgt9tF8Z7fhbsYUBPExdnZGViWJabDQ0KpVA5tbjMJUCxXIopAkAi9Xg//7//9P2g0Gnz11VdCN4cwplSrVfzlL3+BxWLB7373u2t3BRmGwbt378AwDORyOV68eAGWZXFycoJyuQyapuHxeOB0OsmkTSAODg5QqVTGVuwBfg3/X1hYGKmYwkWacCIE50FD0zTsdjvcbjfcbvfQhYiHsr29DQBYXV0VuCVX02w2+Up+mUwGvV4PwLk4xF3bu0RWDZJ6vY7d3V2YTCbReCANmmQyiXg8Do1Gg+XlZUlEhYwbLMsik8ng7OwMvV4Per0eMzMzVwrJN/Hjjz8imUziyy+/FL3341WVPMm8QRp8++23yOfz+Od//ud7P6MEwrAh2xYEycGF/obDYZTLZdGkBhDGC71ej+npaYRCIaRSqWtN+Lh87cs7cSzLwmazwefzkcFfYGw2G7Ra7diKPQDg9/uh1+tHHjlDURQsFgssFguWl5dRr9d58SeTySCdTuPDhw8wmUx8eobZbCYL6GtgWRaVSgWJRALJZBLFYhHA+XW22Wz8NRQyrF2r1SIYDI712Mv19zRNk2dVILiIQqvVirOzM9RqtXtHW+XzeSSTSXg8HtGLPVd59hCxRxo0Gg1ks1l4PB4y3yOIEiL4ECSJ3+9HOBxGNBoV7c4sQfosLCwgGo1iZ2cHLpfr2on/9PQ0NBoNarUa/7P5+XmyUBAQhmH4qKtJSKWTy+WiCHfWarWYmZnBzMwMOp0OMpkMEokE0uk09vf3sb+/D5VKBbfbDZvNBpPJBIPBMLHvCsuyqNVqKBaL/OK00WgAOL+nXLU1p9MpqmIPk/BO9Yv8/f0JYbTI5XJMTU2BZVm+nwiHw1Cr1XA6ndf2HSzLYmdnBxRFib7Ix1WePQARfKRCPB4HgLHeVCJIGzJyESSJzWaDRqNBPB6XjAkfQXpoNBrMzMzg8PAQ0WiUn4T1U6lUEA6H0Wq1oFAo+Moi3DPJhWRLLTRbau3th/PsYRgGi4uLkv0edyGXy6Hdbg/FpPexKBQKvsQ7wzDY3NxELpcDwzB81S/gPGrTZDLBZDLxJo16vV503+exsCyLarWKYrGIUqnE/7/b7fKf0Wq1MBgMfIU0MV8DzpAewFiVab8My7I4PDxEr9cjnj4Cwo2pvV6Pr9qTyWQQCASurNqTTqeRy+UwPT0tGs+w67js2ROJREiFLgkRi8WgUCjGuh8kSBsyahEkCUVR8Pv9ODw8RC6XE8XONmE8mZ+fRygUwt7eHnw+H1/9qNVqIRaLYWdnB+VyGXNzcx8t0LgQba7M8m2TN7GILFIuB3vZoFkM13NY9Ho9xGIxvnqhmKEoCgzDwO/3Y2FhgY9q4f4rlUrI5/P852UyGYxGIy8ADUsEGlZaUr+40y/wcB48wHnkQr/IZTKZoNfrcXp6ikKhIJr+4Cay2Sza7TasVuvYpjJQFAWTySRZI2cpPEf3QSaTYWVlBel0GolEAkdHRzAajQgEAlCr1QB+je6haRqLi4sCt/huBINBTE1NgWEYbGxs8NE+fr9fUs/bpFEul1EqlTA9PT3Q6pgEwiAhPQhBsnCCTywWI4IPYWgoFArMz89jZ2cHJycnfGW4RCKBfD4PhmEwNTX10YSMC9Fut9sIhUKYnZ29sbyqWEQWKZeDnYRqXP2cnZ2h2+0iGAyK/h5Vq1UwDMPvtOt0Ouh0Ovh8PgDnC7R6vf6RQFIoFPhj0DQNg8EAjUYDlUoFtVp94T+VSgWVSnWvaxEIBO79XViWRavVQrPZRLPZvPBn7r9KpfKRuGOxWC4IPDqd7sroVKPRiEKhgEqlImrfEW7j5ejoCLFYDE+ePBG6SUNDqtW7xDKuDBqapvm00Hg8jlwuh1gsxpuIRyIRfiNGrIbxV8FF9nCbRI1GAxsbG2N3/8aJWCwGgKRzEcSN+EcrAuEajEYjv+u2vr5OlHXC0JiZmUE4HOajfLRaLXw+H2w225WGzcDFEO1gMAilUnlteVUxiSxSLQc7aWJPs9lEJpOBTqeThJ9KpVIBcH1EDUVR14pAnPhTLBZRqVRQLpdxU4HRfjGI+zOXZklRFG/Ey/3HnYv7j2EY/s+dTucjMafdbl97foqioFKpYLFY+Kidm8Sdq+BEsXK5LGrBBwCfipfP5+F0OqHT6YRu0tCQmugjpnFlWCgUCgSDQTgcDn4O2G63sb29DZVKhYWFBYFbeHf675dGo8H6+jo2NzfH+v5JHZZlEYvF+AhuAkGsiHekIhDugN/vx/b2NlKpFLxer9DNIYwpzWYTZrMZtVoNP//8M373u99BoVBAoVDAYDBcOxHjQrRv8/ARm8jS326pwC3QJ0HsAc53FVmWfVCEihCUy2XIZDJotdo7/06/CNTfv7Msi3a7fUGEuRxl02q1UKlUwDDMQNpPURTUajW0Wi0sFstH0UX9EUaP9ZTjjsOJZGLH7/ejXC4jGo1iaWlJ6OYMFU70yeVyN4qOYkBs48ow6Rcaf/nlF3Q6HbhcLjSbTcmkGl6+X9wm0STcP6mSz+fRaDQwNzdHvEQJooZixT5iEQg30Gg08O///u/weDx4/fq10M0hjBmdTgexWAz5fB4URaFSqaBYLOI3v/kNHA7HwM83bl4Lo6C/csukXL9ut4u9vT3o9XrJhPnX63W0Wq2RRqz0R+h0u90LkTtcJE8kEgEAXuDsj/yhaRpyuRwqleqCEfsoKJVKkMlkgpZfvw9cP7m4uAiVSiV0c4ZOf1/T3weJkUnpFwGgWCzi66+/hl6vh8ViAcuyMJvN8Pv9knguOYG6/35N0v2TGr/88gvC4TC++uqrofnBEQiDgET4ECSNRqOB3W5HKpXiqyMRCIOgUqng6OgIDMPAZDLB7/eDYRj8+c9/xocPH/DVV18NfBJGJnX3g0vjstlssNvtE3P95HI5VlZWRB9h0I9Wq71XdM8goCgKSqXyxnGBM4r2eDyjataduKrqkJjxeDzwer0T8w5y37NQKCCZTGJ+fl606V2Tck9YlsWHDx9AURRevnwJjUaDWCyGQqGAUqmEmZkZmM1moZt5Ldf5LU3K/ZMavV4PZ2dnMBqNROwhiB7SixAkD7cQPzs7E7ophDGAW0RrtVrodDrMzc1hbm6OT+dYWFhAtVrF8fGxwC2dbPo9e5rNptDNGRmcETBN05LxLWs0GhcMjAl3g2EY1Ot1oZtxJ2QyGb8wnaR73Wq1UK/XcXBwgG63K3RzJppIJIJCoYAnT57AZDJBqVRiZmYGCwsLfGooAFEK5Zf9lgaVikoYHul0Gp1OZyJSyAnShwg+BMnD7SpyTvkEwkNoNBo4ODhAPB4HcL6AWVhY+GinfW5uDjqdDvv7+2g0GkI0deKZNINmjm63i83NTcmJ28fHx9jd3RW6GZLj4OAAh4eHolygXkc6ncaHDx/QarWEbspIcLvd8Pl8/PghVdFH6gJDu93Gzs4OVCrVRz5SBoMBi4uLvJdPKpXC3t4earXag8836OvF+ffI5XLi1yMRotEoAFKdiyANSI9CkDwKhQJutxu5XE4yu6EE8dDtdhGJRLCzs4NKpXLr4komk2F9fR29Xg/b29t3Po/UJ9RiYVLFHuC8OlCv15NUmeF2u41Wq8VXniLcHYPBgG63KylhWaPRgGGYidqAkbroEwqF8P79e4RCIaGb8mD29vbQbrexsrJyq0kzFzm3t7eH09NTtNvte51rWNcrGAzixYsXkvFlm2Q6nQ5SqRTsdrukxmPC5EIEH8JYwC36uOgMAuE2WJZFOp3G1tYWMpkM9Ho9lpeX71T1yOVywe12Ix6PI5PJ3Pr5cZhQi4VqtTqRYk+9Xkc2m4XBYBB9qe5+yuUygOvLsQuN0+mE0+kUuhlXwl0z7hpKAe75LBaLkqkyNgj6RR8p3a9xSCUqFos4PT2F1Wq90/jt9XqxsrICk8mEfD6P7e1tJBKJO333YV8vEtkjDc7OzsAwzETNQQjShvQshLHA5XJBoVAgGo1KKvydICzZbBYymQwzMzNYXFy8l6ns+vo6aJrGhw8fbpz0jcOEWkwYjUYsLy9P3ESLCx+XShl2Dm7xK9YIH4fDMZSKe4NAp9OBpmlJCQjA+QYMRVETNx673W4sLy/DarUK3ZQ7I/VUIs6oGQCePn1652pparWa9+dTKpXIZrN3+j2pXy/CYIjFYqBpGl6vV+imEAh3gvRUhLGApmn4fD5UKhXJTY4Jo6PZbCKVSgE4r+AzOzuL1dXVB0VM9Bs4n5ycXPs5MkF8PAzDIBwO86kSo672JDSFQgHVahUOh0Ny4eOVSgVarVa0FYzEDE3T0Ov1qFarkhKKlUol3G43Go3GnRfS4wLXN/V6vQt9lpiRcipRNBq9YNR8X0wmE1ZWVjA/P8+PzZlM5kZ7gEFeLym914RzuH6N22gmEKQAmYERxga/349QKIRYLCa5kraE4dLr9ZBIJJBOp8GyLEwmE9RqNVQq1aOOOzc3h2g0ir29Pfh8Pt6/4rKoEwwGMTU1xf/8qs8Mi1Geaxj0e/ao1Wq4XC6hmzRyVCoVjEaj5HYTO50OFAqFaNO5AODo6AjA+bssRoxGI9rtNtrtNtRqtdDNuTNutxu1Wk1SbR4kxWIR2WwWtVoNCwsLohc8pThGdDodbG9vQ6VSYXl5+cHHoSiKf047nQ4fmWa32+Hz+a68d4O4XteVYSeIG86fTGrRtoTJRno9PIFwDVarFVqtFrFYbKLCyAnXw7Isstkstra2kEqloNFosLi4OLBFSL+B84cPH3B6enqtVw83QRyln4/UvYMuGzRPotgDnEcNzM/Pi37ReBmFQoGVlRX4fD6hm3ItrVZL1BWlXC4XVldXJSec0DSN+fl50abyDRubzSZpI2cpsLW1dWej5ruiUCiwvLwMg8FwYe4w6DklSfWWLrFYDAqFQrTebwTCVRDBhzA2UBQFv9+PZrM5cWHkhKuJRqMIh8OgKArBYBDLy8vQ6/UDPYfL5YLP58PZ2Rl2dnZunMCNcpIn9QnlJFfj4mi32yiVSkI3g0B4FJVKBc1mU+hmjBypV+8SM6lUCpFIBA6HY+CRFhqNBgsLC5iZmYFMJkMsFsPp6elAz0FSvaVJqVRCuVyG1+uFTCYTujkEwp0hPQxhrOAGfqlGNBAeT6fT4f/scDjgdruxuroKm802tHM+ffoUGo0G6XQavV7v2gncKCd5Up9QxuPxiRZ7gPNrcHR0hFqtJnRT7g3DMDg+PkaxWBS6KZKnUqng5OREkoJBq9XCwcEBbzo+afSLPmK+BrdtCIhpw6DT6eCXX36BXC7H8+fP72zUfF8sFgtWV1fh9XovRHPct4z7dUjZO2lSCYfDAICpqSmBW0Ig3A9pxYcTCLeg1+tht9uRSCTQbDYlFwZPeDgMwyCZTCKZTCIYDMJqtUKj0YwknUSpVOLZs2dotVqgKArT09PXfvayn88wGeW5Bo3X64VKpZrYsOlqtYp8Pg+TyQSdTid0c+5NtVpFsViUZNvFRrvdRqFQgNlsllQFKODcf8pmsyGXy6FUKk2kv57b7YZcLofZbBa6KVdym5eM2Lxmtra20Gw28ezZs6Eb+NM0DY/Hw/+9XC7j6OgIDodjIFEeUhybJ5Vut4toNAqj0figQh8EgpCQnoYwdgSDQbAsi0gkInRTCCMin89ja2sLiUQCarUaSqVy5G3weDzw+/1Ip9O8qd91jHKSJ6UJJcMwfESITCabWLEHOE9H5NJUpUilUgEAURs2SwXOB4e7plLD5/OBpumJK9Pej91u5z24SqWSaKK1bkv9FVtqcH8q100bK8NCLpdDq9UinU5ja2sLmUzmwc+00NeScD/i8Ti63S6CweDQosoIhGEhnZUAgXBHPB4PVCoVwuHwxE4uJ4Vms4m9vT2cnp6CZVlMTU3d6NMz7AnW+vo6VCoVNjc3BfeskNpkkvPsOT4+RrVaFbo5gpLL5VCv1+F0OiUbpVgul/nFkZgJBAKir7aiVCqhVqtRLpeFbsqDUCgU8Hg8aLVaSKfTQjdHUJrNJo6Pj0Xj6XNb6q+YUoNHlcp1E1qtFktLS/yiPxKJYHd396My7lcJZ/1IvaDCJBIKhSCTySS7CUOYbIjgQxg7aJrG1NQU6vX6xE8uxx2ZTIZmswmn04nV1VU4HI5rJ4GjmGBxqV2dTgcbGxuCCY5Sm0z2GzQ7HI6BG2tLCZZlcXZ2BrlcfiGVQEp0u13U63VJVGgyGo2SiEIyGAxot9uCC8kPxel0QqVSIZlMSk6MHiRqtRper1dURs63ecmIxWuGS+VaW1sTXEi22WxYXV2F2+1Gq9W6IIRdHn8v/11sUVOE2ykWiygWi/D7/QOrCEcgjBIi+BDGEi7UVyoLXsLd4Hx6MpkMgPOd4/X1dQQCgRtLVo9ygsWldiWTScRisZFP5qQ2mewXe9rtNjKZzES/txRFYWFhAU+ePJFsFRCSzjV4uGsp1bQumqYRDAaxsLAgqTTTYSDG6l233ROh7xmXyuV0OkVjmCuTyeDz+fD06VM+EjObzWJvbw/tdpsfhzOZDD8ed7tdUUVNEe4GNycRWvQkEB4K6WUIY4lOp4PT6UQqlUKj0RC6OYQBUCwWsbOzg3g8jmw2y//8LoviUU+wuNSu/+//+//w/fffj1TAkNpk8ujoiI/sUSqVkhGqholKpZK0WKLT6RAIBCRh0Lu9vY3t7W2hm3ErBoMBfr9f0s+FXq+HRqMRuhmioF/0OTw8JOnnN9ButwVP5bqJ/jlIoVBAp9NBOBzmS7onk0mk02k0Gg1sbGwgFAqJJmqKcDudTgexWAxms1m0xusEwm2QKl2EsSUYDCKdTiMSiWBxcVHo5hAeCFfOtlKp8PnTDzHzHWXFKqVSiadPn2J7exu7u7tQqVQjrZYl5upcDMNcaJfD4YBWq4Xf7+ejk6QgVA2DcDgMnU4Hu90udFMehVKpnGjD7WEgk8ngcrmEbsZAyOfzKBaLmJmZEbopguJ2uwGc31uxiRhigkvlev78uegFw7m5OZjNZsRiMXQ6Hbx79w5Wq5VPQeM2NMQ6PhM+JhaLodfrEXGOIGmI4EMYW1wuF9RqNUKhEObn58ngKkFYlsXR0RHa7Tbsdju8Xu+j8qdH+Qx4vV4sLCzg4ODgoxz/USDG550r72uxWDA1NQW5XA6LxcKXOMpiNR4AAMDvSURBVBWzUDVsyuUystkser2epAWfXq8HlmVvTLEkPBwu/UfK17daraJQKKBQKEx8eWNO9AHIu3MVyWQS0WhUVKlcN0FRFBwOB6xWK87OzpBKpZBIJOD3+1EqlQCcRwBP4hgnRViWRSgUglwuh8/nE7o5BMKDIaMKYWyhaRrT09PY399HKpWSrAHqpMGyLGq1GvR6PSiKwvT0tCSq/VzFf/kv/wUymQzFYhGNRoPfnbwc5TIJcNE77XYb79+/R71ex/Ly8kcpeZN2XYDzZz4Wi4GmaclXAMnn84hEIpifn5d0+pEYqdfr2N3dhdfrlfR45vV6kc/nEYvFYDKZJvKdvwzLsjg8PATDMLzP0X2uyziOKe12GxsbG6JN5boJmUyGQCAAh8OBarWKcDgMlUqFZrMp+T5+kigUCiiXywgGg0SIJUia8RodCIRLTE9Pg6IonJ6eCt0Uwh0ol8vY2dnBwcEBX43GaDRKUuwBzlNbPv30U3S7Xbx9+xYMw9ypgtZd/Wuk5HND0zQsFgvi8TiUSiXMZrNkTYkHTTabRaPRgMvlglKpFLo5j4IrHa7T6QRuyfih0WhA07Rky7NzyOVyeL1etNttpFIpoZsjCiiKgtlsRqPRwF//+lf89NNPd/Z+k1pVxrvAsix+/vlnNJtNrK+viz6V6zrUajXsdjtsNhuA8+i23d1dFItFYRtGuBMnJycAgCdPngjcEgLhcRDBhzDWaDQaeL1eZDIZyVY3mQRarRaOjo5weHiIdrsNj8cj+YUvh8vlwuzsLPL5PHZ2dm6toHXXybvUJvkMw+D09BT1eh12u53scv4n3W4XZ2dnUCgUF9I7pAjLsqhUKtDpdETMGwIURcFgMKBWq6HX6wndnEfhcDigVquRTCbRbreFbo4ocLvd8Hg8SKVSOD09RSqVulXUl1pVxrtycnKCVCoFv9+PQCAgdHMeTTAYxMuXL/Hy5Uv0ej0cHx/j4OCAFBURMc1mE2dnZ7Db7SRalSB5iOBDGHs4ZZ5E+YiTdDqN7e1tlEolWK1WrK6uwuPxjFV4+srKCsxmM46Pj3mPhquMie86eZfaJJ9hGOzv7yORSMBsNkOpVIq+zaOCi2Tz+/2Sf+br9Tp6vZ6kJsdzc3OYm5sTuhl3xmg0gmVZVKtVoZvyKCiKQiAQAEVRZNHbh9frxeLiIrrdLsrl8q39pNSqMt6FQqGA7e1t6HQ6PHv2TFKpXDfBGa+vrq7CbrejUqlgZ2cHiURC6KYRriAUCoFl2Yk3lyeMByQhkTD2WK1WmEwmRCIRLC8vP8r0lzB4NBoNNBoNAoEA9Hq90M0ZCjRN4+XLl/jb3/6GbDaLL7/88so0NW7yflulqrt+TiywLAuapjE7OwulUimJNo8KvV6PtbW1sYiI4VKNDAaDwC25OyqVSugm3Avu2pbLZUmUvb8Jo9GI9fX1sXj2B8mrV6/g8/nunPYzTmb3nU4Hb9++BUVRePXq1Vj6pigUCkxPT8PhcCAajUKtVgvdJMIluPR7jUYj+chbAgEAKJZlWaEbQSAMm3A4jF9++QXr6+tErReYarWKaDQKv98vqYXhIIjH43j79i3sdjt+85vfXLtzeVcDTrEbdbIsy39Hrq1ib/Mo6XQ6YyVAR6NR5HI5Se3Kt1otANISfjY3N6HX68fKV2Lc3oVB0N9X9vel4wrLsnj79i3Ozs7w9OnTsXq+70Kj0cDp6Sn8fr+koiTHkVgshnfv3mFlZQXz8/NCN4dAeDRk1k2YCPx+PxQKBU5OTkA0TmFot9s4OTnB/v4+Go0Gn8oySfh8PgSDQWSzWRwcHFz7ubsKImIWThiGwcHBAdLpNIBf2yrmNo+SYrGIra2tsTLvDAQCePr0qaQWpkdHRzg6OhK6GfdidXV1rBbDlUoFW1tbyGazQjdlYAwiZZXrK/P5PPb29tDtdh99TDETCoVwdnYGr9eLYDAodHNGTqPRQKvVwuHhIY6OjiZyjiQWTk9P+Uq/BMI4QGbehIlAJpNhenoatVoNmUxG6OZMFAzD4OzsDNvb2ygUCjCbzVhdXYXD4RC6aYKwtrYGo9GIvb29sVrg9MMwDA4PD1GtVokh6xVwZdiB8atmRQS94TNu11ir1YKmaZydnUnejBoYvKF+u91GvV7HwcHB2Io+pVIJW1tb0Gq1kivBPig4D0Or1YpSqYSdnR3EYrGxeCekRLFYRD6fh9/vH5viIQTCeM0aCIQbIObNwtBut5FMJqFUKjE/P4/Z2VlJpU8MGplMhpcvX0Imk+Hdu3d8Ssm40C/2uFwuUo3rCtLpNFqtFjwez9iksWQyGSSTSRJBOSJSqdTYlDSXyWTw+XzodDpIJpNCN+dRDMNQ3+12w+fzodFoPFj0EbNJfrfbxU8//QSWZfHy5cux6RMfglKpxJMnT7C4uAiNRoNUKkVMzUcMt0YYpyhKAoEIPoSJQavVwu12I5lMolarCd2csaZer/MGrmq1GgsLC1hZWSF56f+JwWDAs2fP0Gw28fPPP4/NIpmIPbfT6XSQSCSgUqngdDqFbs7AyGQySKfTE7kzLwS5XG5sBB8AsNls0Gq1SKVSkhbBh1U16zGiz6AjjgYJy7LY2NhArVbDysoKLBaL0E0SBXq9HsvLy1hYWOCLWVSrVclX5xM7rVYLsVgMVqsVZrNZ6OYQCAODCD6EiYIzbJaaZ4NU6HQ6CIfD2N3dRTgc5oUMvV5PFoKXCAQCCAQCSKfTOD4+Fro5A6FWq6FWq4lG7BHjrjaXtjIOZdg5Op0OGo3GxJmwC4nBYOCv+zjAlWnvT3eUKsFgEC9evBi4D02/6FOpVO70O8OIOBok0WgUsVgMLpcLs7OzQjdHdPT3qZFIBPv7+zg5OSGp0kPi9PQUDMOQ4i6EsWP86h0SCDdgt9thNpsRiUSwuLhIymEOCJZlkUqlkEwm0ev1YDAYEAgEiMhzC0+fPkWhUMDOzg6sViusVqvQTXoUBoMBy8vL0Gg0QjcFoVCIL1svJgNQbtdwnHYPucUnieAbHUajEel0GpVKRRTv2yDQ6/VwOp1j4Ws1LDHX7XbDaDRCq9XeuR02m43vC8UkMpfLZXz48AFqtRqffPIJmS/cwuzsLGKxGAqFAkqlElwuF9xut6juqZTpdDo4OTmBTqeD1+sVujkEwkAhvQRhoqAoCvPz82AYBicnJ0I3Z2zY29tDPB6HXC7H7OwsFhYWxmYRMkzkcjlevXoFmqbx5s2bG3frxbYzy8EwDMLhMDqdDgCI4r6LeVfbZDKNXeUPLn1TioLP6uoqVldXhW7GvTEYDKAoir/240IgEJC88P1YbuuvOLGn1+shFArdmt41rIijx9But/HmzRswDIOXL18Sc9w7oFKpMDs7i/n5eahUKiQSCezs7IxNSrjQcPOYubk5Ij4Sxg4i+BAmDo/HA71ej9PTU36RSrg//ZUj7HY7fD4fVldXxypyYRQYjUa8ePECrVYLb968ubIiB+fBIDaRkvPsyWazyOfzQjeHZ1g+Go+hXC6PrXdYuVyGWq2eaLPVUUPTNHQ6HSqVylgu+BqNBorFotDNGDn38dspFovI5XJ38vQRQx/IwTAMfvrpJ9RqNayvr8NmswndJElhNBqxvLyMqakp2O12Xpwg1bweTq/Xw/HxMdRqNQKBgNDNIRAGjnhGAAJhRHBRPt1ul1TsegDdbhfRaBSbm5u8YOZwOOB2u8muyAPx+XxYWFhAsVjEL7/8cmEBxzAMMpkMIpEIvvvuO9GIPpcNml0ul9BNuoCYdrW5KKijoyNRRRsNApZl4fP54Ha7hW7KgyiXy5KNknG5XLzvzTjBsiyOjo7uFL0yTtw3MtFmsz26epcQbG9vI5vNIhgMkkpID4SiKH7eBZwLFtvb2wiFQmQj8wFEo1E0m03Mzs5CJpMJ3RwCYeAQwYcwkfj9fmg0GhwfH0tmkiQ0LMsik8lge3sb6XQaarWa7CgNkKWlJbjdbsRisQum4pFIBGdnZwiFQtDpdKJIUZJKNS6x7Gonk0m02214PB7RtGlQUBQFm80m2V36aDSKaDQ6svMlk0m8efMGX3/9Nd68efOoMuRmsxl2u30snymfz4der4ezszOhm3Mjg+yLHxKZOIiS7aMkHA7j5OQENpsN6+vrQjfnXgg97t5Er9eDWq1GLpfD1tYWksnk2AnBw4ITmBUKxdilWxMIHMS0mTCR0DSNubk5bG5uIhKJEEf+W6hWq4hEImg0GlAoFHjy5MnE+ywMGoqi8Omnn+Lvf/87dnZ2YDAY4HQ6kcvlLkRPJJNJRCIRQSNXzs7ORC/2iIV2u41UKgW1Wg2HwyF0cwZOt9uFXE6mEnfhw4cPODg4QDqdRqPRgEajQSQSwcLCAp4+ffrg447jPbBarchkMshkMnA4HKLwBrvMMIzhg8Egpqam7iXiceNDPB5HLBYTRVTjVeRyOWxsbECr1fLedVJBrEUAOJRKJR8lHIvFEI/Hkc1mEQgEYDKZhG6eqDk7O0OtVsPi4iJJSyaMLdLpbQmEATM1NQWlUjmWaRaDpt1uo9VqwePxYG1tjYg9Q0Iul+P169dQKpV49+4dqtUqLBYL5HI51tfX4fV6eRHoqmd2VM+x1+vF1NSUaMQeMb+/sVgMDMOMZdU6lmWxtbUlmjRDMZNMJnFwcICDgwPIZDJ4PB7IZDL+Zw+N9IlEIvjw4cNYRltyXhqjjMC6K8M0hn+IEOJ2uzE9PX1jnyxkP1mv1/HmzRvQNI3Xr19DpVIJ1pb7IuYiAJcxm81YXV2Fz+dDp9NBq9USukmihmVZvk8mG7+EcYYIPoSJRS6XY2ZmBo1GA7FYTOjmiIper4d4PM5XjbJarVhbW4PX65XUrpwU0el0ePXqFXq9Hv71X/8V6XQaFosFMzMzcDgc14b738fs8yEwDINCoQDgfEEilmiVYX/vx9BqtVAoFGAymSRZweo2arUaer2eKKMvxEYkEkE6neZ9V4xGI3w+H2w2G9LpNCKRyIOOq9FowLIsKpXKgFssPFqtFna7HZVKRXSG52I0hrfb7XykV7FYvJDeJWQ/2e128ebNG7TbbXzyySeSizgR472+CYqi4Ha7sba2xo/T7XYb0WhU9Cl/oyadTqNcLmN6eppUiiOMNeLutQiEITMzMwO5XI7Dw0OS7/yf5HI5bG9vI5lMIpPJ8D8noa6jw263Y3V1FalUCh8+fOB3Fa8zIh72DiTn2XNycoJqtTrQYz8Gse+8qlQqLC8vj23VD87s2GAwCNwS8dNoNNBoND66VgaDgf+3h8AdT6rG07fh9XqxsLAAnU4ndFM+QkzG8P00Gg0cHx/znj5C9pMsy+L9+/colUpYWlqC1+sd2bkHiVjv9U0oFAo+qjSbzSKdTmNrawvpdJrMd/+Tg4MDUBSFubk5oZtCIAwVIvgQJhqFQoFgMIhqtfoo88xxoFqtYnd3F6FQCCzLYnp6emwXqlJgdnYWy8vLqFQqyOVy/K7iVbuLw9yBvGzQrNfrB3bsxyKFnVetViup9IX7UKlUIJPJRLkYvysqlWok90ej0UCj0XwUiVOpVPh/ewhqtRpKpXIsI3yA8zFazIKiGPscjUZzwciZYRjB+smDgwOcnZ3xwp2UEeO9viterxdPnjyBTCZDNBrFzs7O2IrEdyWXyyGfzyMQCJAoVcLYM14ufwTCA5idncXJyQkODg4mtrR4s9nE/v4+KIqCy+Xi/SUIwvLP//zPMBgMyOfzOD09vbGE7UPMPm9DCtW4hvG9H0uv18PR0RE8Hs9YpnIB59+xVqvBZDJJus8c1c7u1NQUIpEIDg4OAJxH5nBi7sLCAqamph58bKPRiGw2i3a7PbZpCdVqFfF4HDMzMyTa9A70GzkfHBzwz9go+8mzszPs7e3BZDLhxYsXku4nxgGr1Qqz2YxkMolUKoXDw0MsLi6KahNnlBweHgIY3RhAIAiJeGbIBIJAqNVqTE1NoVgsIpvNCt2ckcEwDG/op1ar4ff7sbKyAr/fT8QekcAZXJbLZfyf//N/8O7duwv/fjk0f9CT+aOjI8HFnrukH4hJ7AGARCKBarWKdrstdFOGRqPRAEVRoo6+EBNutxsLCwtYWFhAr9dDIpFAr9fjf9Zfie++GAwGUBT14LQwKdDtdnnRh3A3+ku2Hx4ejlRwKRaL+Pnnn6FSqfD69euxqyInVWiahtfrxerqKrxeLy/2tNvtsTR+v45SqYRUKgWv10vGMMJEQHpgAgHnCn84HMbBwYFozGiHSaFQQCwWg0wmw/LyMh/ZQxAfCoUCU1NTSKfT+Mc//oEnT57AarWOpEys0+mEVqsVTOy57TsyDCM6safVaiGdTvOGs+OKXq/H8+fPJe8FwfmUjaLff/r0KZxOJyKRCF+WfWpq6lFiD3Bemef58+eiexcGidlshtFoRC6Xg8PhkHQa4Sjhni25XD4ywadareL7778Hy7J49eoVtFrtSM47TMQ41jwGpVIJj8fD//309BStVgter3esxy0OLrpnfn5e4JYQCKOBCD4EAs4rI/l8PsRiMRQKBVgsFqGbNBTq9Tqi0Siq1SpkMhkReSQATdOYnp5Gt9vF6ekp3rx5g9/+9rcXTDgHGarPMAx6vR4UCgXMZjPMZvNAjvuQdtz0HUcheN0XhmEQi8XAsuxE+F9RFCX5NI10Og1gNIIPcL4Af6zAc5lxWojehN/vx+7uLqLRKJaWloRujmTof956vR5Ylh1axE2z2cT333+PdruN169fw2azDeU8o0SMY82gsdlsiMfjCIfDyGQyCAQCY5vqxUUKOp1OweY3BMKomYxZAoFwBziln1P+x41IJILd3V1Uq1U4HA6sra3B6XRKfsE2CQSDQXz11Vf4b//tv6HVauHHH3+EXq+/lwnnXVKjOM+eg4MDwcO7bzJkFmN1rlAohL///e/Y2dmB1Wod28kyAHQ6HcTj8bFOIZIarVYLZ2dnaDabQjdlaGg0GjgcDtRqNeTzeaGbIzlYlsXBwQFfvWvQdDodfP/996jX63j+/PmFCBKpIsaxZhjY7Xasra3B5XKh0Whgf38fp6enko/gvIqjoyMAJLqHMFkQwYdA+E+MRiPcbjcSicRYVi+gaRoGgwErKyuYmpoiOfUSg8u9f/r0KWq1GhKJBNbW1u604xgKhfD+/XuEQqFrP9Nv0GwymUTh43RdKVyxVefiFgWNRgPVanUsFjo3US6XkUwmieAjIlqtFhKJBEqlktBNGSoejwcKhWKs/bGuYhBCA0VRsFgsfPWuQYo+vV4Pb968QblcxtLSEqanpwd2bCER21gzTGQyGfx+P1ZXV3kz/nHbEGw0GohGo7BYLGMRfUYg3BWy4iMQ+pifn0cymcTR0RE++eQToZvzKEqlEpLJJObm5iCTyeDz+cZu8J5Epqen0Wq1sL+/j7dv3+Lzzz+/UZy5LTWK+4xYq3FdN8EWU3UublEAAAsLC1Cr1QK3aLhwgjgxuxQPer0eFEWhXC6PdaquXC7H2tqaKN77UTHIlKKrqnc9dvOHZVn8/PPPyGazePLkieTLr19GTGPNKFCpVJibm+Oje1iWxdHREex2u+TtDo6Pj8EwDBYWFsh8mDBRTEbvRSDcEavVCpvNhlgshnq9LnRzHkSz2cTh4SGOjo5Qr9f570EGN+nDReqoVCoEg0Fks1m8f//+xrDr23YoxSz23IZYJuC9Xg9+vx8vXrzAzMyM0M0ZOuVyGRqNhpTHFhE0TUOv16NarY5t2gkH9973er2hpCaJiWGkFPVX73pspA/Lsvjw4QPOzs7g9Xqxvr4+lnMNsYw1o4S7j41GA7VaDScnJ9jf35fs3LjdbiMUCsFgMIy1KE4gXMXk9WAEwi0sLCyAZVns7e0J3ZR70ev1EI1GsbOzg3K5DJvNhrW1NbILPyb0T/zz+Tyfbx+Px7G5uQmWZa9cDDAMc21qFPd5rkqblMQeMRGPx7G9vY1OpyN0U4ZOo9FAt9uF0WgUuikDwWg0jtV3YRgGtVpN6KYMnW63i+3tbUQiEaGbMlSGlVLEiT6PTds5ODhAKBSC3W7HJ598MpZiz6Sj1WqxtrYGh8OBarWK3d1dhMNhyYmtnDchie4hTCIkpYtAuITT6YTdbkc0GsXc3JxkFgO5XA7pdBo6nQ6BQICUrR0zuIk/F9ofjUZB0zTa7TZOT0+RzWZhMpkuhP1flQrAlZc9PT1FPp+HzWbD/Pw8mQA9kEajgUwmA71eD5VKJXRzhg6XziWVfvE2xqmamtFoRDweR7lcHnuhXy6XQ6fToVAooFqtjrVJ+rBSitxuN5xOJ39clmXvNQ6EQiHs7e3BZDLh9evXovB9GyTjVor9McjlckxNTcHhcCAajSKbzUKhUMDr9QrdtDtRr9dxenoKk8kEn88ndHMIhJFDejIC4QpWVlYAADs7OwK35GYqlQofVeBwODAzM4OlpSUi9owpXKTO1NQUcrkcWJbF1NQUtFot3r9/j2g0yof9X5UKwKWEHR0d4eeff0YqleKPQ3gY0WgUwHgJBzeh0+ngcDjGeoEtVbgqVuMu9nD4/X5QFIVoNDr2fdiwhAfuuLlcDnt7e3eO2jg7O8PGxga0Wi0+//xzSad3XhUZe5dCB5OIRqPBwsICZmdneT+oXq8nerP4/f19MAyDlZUVsrlFmEiI4EMgXIHFYoHX6+UXxGKj1Wrh+PgYBwcHiMfjAH6twEEYb2iavhDm73K58Pvf/x5OpxPHx8fo9XoffYYzFM7lcmi329jY2OCNOse98sgwKRaLqFQqsNvt0Gq1QjdnJOj1+rEyMI1Go7xoJ3UoisLU1NTYRF/dhkqlgsvlQr1eF+U4LSU6nQ7q9fqdPH2y2SzevXsHlUqFL774QtIm9ScnJx8JO5NSiv0xmM1mfgxIJBI4OjrC4eEhms2mwC37mHK5jEgkArvdDofDIXRzCARBICldBMI1LC8vI5FIYGdnB7/73e9EsSvAMAwSiQRSqRRYloXFYhn7EtCEq7kc5v8//sf/wNdff41UKoVUKgWHw/HRZywWC96/fw+lUokXL17A6/WOzcJ91DAMg1gsBplMJpmw9scyjikOXIrauDGO9+oq3G43crkc4vE4LBbL2KUVXceg7+9dq3flcjn88MMPoGkan3/+uaQj/U5OTvDdd9/xEdHcWHk5fXoS3qPH4HK5eHFsZ2cHDocDHo/n0dXfBsXu7i4AkOgewkQjjreRQBAher0e09PTCIVCSKVS/IRIKNrtNvb29tDpdKDRaBAIBCYmdJ9wNf0TUb1ej9///vf49ttv8W//9m+Ynp7G/Pz8Be+eTqeDqakpeDweYtD8SCiKgtvtBsuykk5nuA+JRALZbBZLS0sT4VckRXq9Hra3t2EymTA9PS10c4aOTCaD3+9Hp9OZmIX5IMu093Ob6JPP5/H9998DAL744guYzeaBnXvUMAyDQqEAnU6HWq0Gi8Vy4fmZtFLsj0GhUCAYDPL+Pul0Gvl8HgsLC9BoNIK2LZ/PI5lMwuPxkAh4wkRDBB8C4QYWFhb4ylcul0uQ3QHOSFGpVEKv18NgMMBut5OdCsJHGI1GfP755/jf//t/Y2NjA8Cvu5a1Wg21Wo2IPQOCoijY7XahmzFSKpUKWJaFUqkUuimEa5DJZKBpGpVKReimjAyr1Sp0E0bG5XSjQYsS/aJPtVrlRZ1CoXBB7JH6NeeieIDzyNeZmZkrP0O4OzqdDktLS8jn88jlcnyq333NwAcFy7LY2dkBRVFYXl4e+fkJBDFBejMC4QY0Gg1mZmZQqVRG7vPQ6XQQCoVweHjI/2xmZgYOh4OIPYRrsVgs+Oqrr6BQKBCJRHhvC4PBgOXlZSL2DIBMJoNWqyV0M0ZKr9dDrVaD0Wgk/Y/IMRqNaLVaE/eMdjodpFIpoZsxVIZVpr0ft9uNlZUVXuwpFov4/vvvwbIsPv/8c14okTpcEYSrxB7Cw7FarRcqf56enuL4+Hjk/VE6neZFURINT5h0iOBDINzC/Pw8FAoF9vb20Ov1hn4+hmGQTCaxtbWFXC4HiqJGcl7C+PD06VP8r//1v+B0OvHDDz8gmUwCOBcwiQHl46jVaohEImNj9HtXOK8bMnEWP9w9Gld/ouuIx+OIxWKirxj0WDihYpDpXJfhUnFyuRz+8Y9/oNfr4bPPPhu7qEYSxTNcuOp5xWIR29vbiMfjI5nPctE9NE1jcXFx6OcjEMQO6ekIhFtQKBRYWFhAo9EYeonO/kFRqVRibm4O8/PzE2NESRgcpVIJlUoFyWQSP/30EzKZDCk1OwCi0SgoioLP5xO6KSOFSxEatwpQTqcTTqdT6GYMFO4eTVJaFwDehD4Wi5Ey7QOgWCzihx9+QK/Xg9vtJh4ohHtDURRmZmawsLAAtVqNZDKJ7e3toVfVi8ViKJfLmJmZEdxHiEAQA0TwIRDuwJMnT6BWq3FwcIBOpzO08xQKBfR6Pfj9fqysrMBkMg3tXITxpdvt4v3792i327zXwvfff4/Dw0NRlZoVQxvuQz6fR61Wg8PhmLhJZK1Wg0qlGjuzZofDMXalemUyGW9GO0kolUq43W40m01kMpmBHltqfdVjKRQK+Pbbb8EwDBYXF0HT9J1KthMIV8GllE9PT4NlWeTz+aGdq9frYW9vDwqFAvPz80M7D4EgJYjgQyDcAZlMhqWlJbTbbRwdHQ3suN1uF2dnZ/xupN/vx9rammAG0QTp0+12cXx8DKVSCafTiU8//RS/+93vIJfLEQ6HUS6XRVFqVmrRRlwZdrlcDo/HI3RzRs7S0hIWFhaEbgbhjszMzGBtbU3oZowcl8sFpVKJs7OzgYkTUuurHks+n8d3333He/YsLS3B5/Oh0WgQ0YfwYLhCB2traxcqCCYSCbTb7YGdJxQKoV6vY35+nhQYIBD+EyL4EAh3JBAIQK/X4/j4GM1m81HHYlkW6XQaW1tbSCQSKBQKAM7Tx/rLoBII9yEUCuE//uM/cHBwgBcvXuCf//mfEQwGYbFY8Jvf/AZerxf1el3w6JTLlWaksHteKBTQ6XTg9Xon8h3lKgWOG0dHRwMV8cWCUqmcyE0Dmqbh9/vR6/UGkjYixb7qMeRyuQtiDxf95na7edEnFosJ3Mr7cd09G/d7KVZkMhk/lpTLZZydnWF7exuJROLR96TT6eDg4ABqtRpPnjwZRHMJhLGACD4Ewh2haRrLy8vo9Xo4ODh48HHK5TJ2dnYQjUYhk8kwMzMj+RKnBOHhFiZmsxlarZb3s+Awm8347W9/C6VSiR9//BFnZ2fXHmfYjKLSzKCx2WxYWFgYO9PSu5DNZsfWCHecq1lVKpWBpzaJkct9lsViwfz8PFwu16OPLcW+6qFkMpkLpdcv93VutxvBYBCBQECI5t0LhmHAMMy10VmTFrUlVoxGI+bm5viovO3tbX4D9CEcHx+j3W5jcXFxIjdmCITrIG8DgXAPPB4PLBYLQqEQZmdnodPp7vX72WwW4XAYNE3D6/XC5XKN9QSSMBoYhkGxWITNZkMul4PH47nyuTKZTPjtb3+L7777Dj/99BOePXt2odJLKBRCLpeDzWYbagUY4LzSzNTUlKSe/0msUMWyLG8iTzzFpEUymUSlUhlroeK6PmuQ5uJS7KvuSzwex88//wyapvHFF19cuwnVX5K9UCjAYDCIbmEdCoWwubkJhmFA0zScTidfnpum6Y+itsb93oodk8kEo9GIdDqNRCKBk5MT+Hw+uN3uex2n1Wrh6OgIOp0OU1NTQ2otgSBNSA9HINwDiqKwsrIClmWxu7t7p9/p9Xp8GUqLxQKHw4HV1dVrF+UEwn1gGAaHh4c4PT2FzWa7tVyv0WjEb3/7W2i1WmxsbGB/fx8sywqSuiCF579SqWBvbw+NRkPopghCo9FAt9sdu+pck4DRaATLsqhWq0I3ZSjc1me1Wi0cHBygWCw++lz9fdW4pQKdnJzg7du3UCgU+N3vfneniONGo4GTkxPRefowDINMJoNcLodiscjfq37Rc5KitqQCRVFwuVxYW1uD0+nkhUWWZe/8fO3v76PX62FlZYXcUwLhEuSNIBDuid1uh9PpRDwev3EiybIsstks79MDnOcuT01NjaUXBmH0cGJPtVqFy+WCwWC4daITCoVwcHAAv98Pk8mEvb09bG5ugqIoMgm+BMuyiMViqNfrE3s9yuUygPErxz4JcPeMu4fjxm0Ld5lMhnq9jmg0OjCRZpxSgbiNq83NTeh0Onz55Zd3juLTaDSiNHKmaRoOhwM2mw1Wq/XasSwYDN66OUIYPXK5HIFAAAqFAgCQSqWwtbWFVCrFFze5ilqthlAoBLPZPJFFFQiE2xBXHCaBIBFWVlaQTqexu7uLL7744qN/r1QqiEajaDQaUCgUgpvkEsaPy2KP3++/0+/kcjlEIhHUajW8evUKCoUCp6enaLVa+OSTT0h4ex+5XA7VahVer3fsypHflXK5DJqm752+ShAejUYDuVw+toIPcHO6FVdRLxaLIZ1O3ztF5DJSTAXi0pqu+vmHDx8QDodhNpvx+eef37uP465nPB7HwcEBFhYWRJHexT0TDMNgY2Pj2vsl9ntHANRqNWQyGWKxGLLZLL9RdZm9vT2wLIuVlZWJNKsnEG6D9HYEwgMwmUzw+/1Ip9NIpVL8z3u9Hh/m3Gw24Xa7sbq6eiHvnUAYBMfHx/cSe4DzCa7FYkGtVoNOp0O1WsXr16/h9XpxdnaGH374gU8/5Bi39IW70uv18ObNm4FU5ZMqDMOgWq1Cr9eP7eIoEAhIwoT2oRiNRjQaDXQ6nTv/jtTe+ZueTafTCZVKhUQica9rcN15pBQFeV00Uq/Xw08//YRwOAyHw4Hf/va3Dxa0+6t3HR4e3hiFMUpomr5wn6RwvwgfYzabsbq6Cq/Xi3a7zVdV7H+X8/k8YrEYHA4HX1WOQCBcRHgpnkCQKCsrK0gkEtjc3ITdbodMJgNN02g0GjCbzfD7/RMbFUAYPk6nE1qtFj6f716/NzMzA+DccNNms0GhUODly5fY3NzE6ekpvv32W3z++edQq9UjNXEWG/F4HPl8Hk6nk/eC4BYM1+2ajxsMw8DpdI51hOK4p6pZLBbI5fI7L8TF9s4/9l2jKAqBQABHR0eIx+OP/k5SMXC+Lhqp0+ngxx9/RC6Xg9/vx4sXLx79XbhIH6VSSaIrCAOHpml4PB7YbDbE43FUq1XIZDIA52mJHz58AEVRWFtbE7ilBIJ4oVixyPEEggQ5PDzEzs4OPB4PXr9+DeB894wbjAiEQcIwDHq9Hp/f/thjAb/ujrMsi4ODA+zt7UGr1eKzzz7D4eEhut0u5HL5QBYGUiISieDw8BBms/nC4ldsC2ICYVAwDIP379+L5p0f5Lt2eHgIuVyOYDA4MaLE5evXaDTw/fffo1KpYHZ2Fqurq0O5Fpyfj9DpXWJ7ngmDoX+O/csvvyAcDmN2dpYIPgTCDZAIHwLhgdRqNX4ikUwmUS6XYTQaidhDGAqcZ0+n08HS0tKjJ9ORSOTCYoCiKCwuLkKlUmFjYwPfffcdvF4vAIx9OPxVUQRTU1MIBALo9Xr8tZaih8djYFl27BfH29vbAIDV1VWBWzJc7nIvudQXrl8Q8tke9Ls2NzfHf/9JidDrj0aqVCr4/vvv0Wg0sLKycuF6DBKGYXBwcAAAgnv6iOl5JgwObo7daDQQjUb5+1qpVGAwGIRsGoEgWkjvRyDck06ng1AoxJdqDgaD9yrTTiDcl36DZrPZ/OhJ9E3ljIPBIF6/fo1Op4NIJAKfzzfWkSyXfS5arRZ/PcLhMDY2Nvh/k5qHx2PodrvY2Ni44FFGkCbZbBYbGxt38qISS/WiQb9rnLhxenqKH374YSyqbN0FmqaRz+fxj3/8A81mEy9evMD8/PzQhFyapmG1WkVTvUsszzNh8Ozv74NhGASDQbTbbRwcHODk5ATtdlvophEIomN8Z6sEwpAIh8PI5XIwGo1YWVnhDeWSySRZHBEGzkOqcd3GbYspj8eD3/zmN6AoCm/evMHp6emjzylGLgtfvV4PR0dH2NvbQ6/Xu1IUm5QFRLlcJumpY4JcLkev17tztS6xCJk3vWsPMZZmGAY///wzTk5OkMlkJGdO/RBisRi+/fZb9Ho9vH79GlNTU0M/Z7+R8yBFn4feL7E8z4TBkc/nEQ6HYbfbsba2htXVVZjNZhQKBZycnAjdPAJBdJBekEC4A5VKhf+zz+fD3Nwc5ufnoVarAQBra2uQyWTY3Nz8qMoRYTIYxuJhGGIPx1WLqf7vYLPZ8OWXX0Kr1eLDhw/Y2NgYuwXSZeErl8uh2WzCYrFAJpNdK4pNwgKC6/PG3dR4EjAYDKAo6sI4JhWueteuqz51l2Nx/d24p3WxLIudnR28e/cOSqUSv/3tbx9dlv4+DFr06b/n4zYOEe5Hv1Hz+vo6KIqCSqXC7OwsFhYWLlRdlGKfRyAMA+LhQyDcAJcjXKlUMDMzA4vFAo1G81HVGo1Gg8XFRezs7ODo6AiLi4sCtZggBMM08qVpeuBiT/+xObjvYLFY+EpeBoMBX375Jd6+fYtQKIRKpYJXr16NVfW5YDDIX9utrS0olUq4XC7+38bdp+c6yuUy1Go1lEql0E25lXFfvD8WmUwGnU6HSqUieV+mx3r7fPLJJ1CpVGi322i1WmPVl3F0Oh28e/cOqVQKFosFr1+/5jenRgknMBWLxUc9c/33fHNzE5lMBg6HY+yjLAlXEwqFUCqVMDc399GGRL+HT6VSwcHBAXQ6HQKBAHQ63aibSiCIBjJDIhCuoNvtIhKJYGdnB5VKBXa7HXq9/sbfmZ2dhV6vx+HhIer1+ohaShCam/xwHgpXPJGmaczNzQ1F7OmH+w6RSATffffdhZBopVKJzz//HDMzM8jlcvj6669RKpWG2p5REgqFsLGxgR9//BG9Xg9+v3/ionku02w20W63JWGA+dBoj0nDYDCg1+uhVqsJ3ZRH8VhvH4qiMD09DZZlEY/Hh9RK4ahWq/jmm2+QSqUQCATw29/+VhCxh8PtdmNxcfFCGe37wt1z7l5z4xWJ9Jk8Wq0Wdnd3oVarsbCwcONnNRoNnE4n6vU69vb2EAqF0Ol0RtRSAkFcTN5MlkC4hXK5jK2tLWQyGej1eiwvL2N6evrWUtg0TWN9fR29Xg+bm5sjai1BaAZtLspVOUkkEgAwkt14mqZhsVhQq9Wg0+lQKBQuTKa5Z/v58+doNpv4+9//jrOzs6G3a9hwC4dqtYrT01NotVpYLBahmyU41WoVgPjTue4rtl7173Nzc5ibmxtWE0UDdy+5eytlHuujZTAYeL+PcUr5yGQy+Oabb1CtVrG6uooXL16IwoOLG8MymQz29vYelN4VDAbx6aefYn19fSJM8wlXs7u7i06ng9XV1Vvn5HK5HIFAACsrKzAajcjlctja2kKhUBhRawkE8UCxD5HbCYQxptPp4ODgAB6PB1ar9d6//9NPP+Hs7Ayff/45nxpCGH8GkVYyTM+eu3BycoJCoXBjaloul8NPP/2EVquFpaUlLCwsSDpFJBQKIZPJgGVZrK2tQavVCt0kUdBsNqFUKkW/qLprOuUw0y6lAMuyaDabH6Ujjwqxpd21Wi1ks1m43W5RiCKPgWVZnJ6eYmtrCzKZDC9fvhTl3COZTCIej0Oj0TyqZLvYniXCaCgUCvjmm29gt9v5ohL3oVQqIRaLYXZ2VtCoNwJBCIjgQ5h4Wq0WotEoDAbDQCZJjUYDf/7zn6FWq/HVV19JfjJJGA1Ciz397egPnb9qYl2v1/HmzRuUSiV4vV68ePHi0aXihYQsIKTNbfePYRi8f/8e3W4XcrkcL1684D/farUAYCy9XMTCpIpto+hXGIbBhw8fEA6HodPp8Nlnn4k6FXNQog9hsmBZFt988w1KpRL+6Z/+aSDRp7lcDrlcDoFAQDAhnEAYFWSGS5hYer0eYrEYtre3USqV0Gw2B3JcbiJTq9VwdHQ0kGMSxhuxiD3Ar54113mjMAwDrVaL3/3ud/B6vTg7O8Pf//53SfpWMQyDeDxOvCD6aDabyOfzkqo2eNui+qa0y6Ojo4npp3u9HgqFwkjf1WF4nA2SXq+Hs7OzgT/vo/CWarVa+PbbbxEOh+F0OvHll1+KWuwBhleynTDehMNhFItFzMzMDCzVuNlsolKpYGdnB5FIhDyLhLGGCD6EiYNlWWSzWWxtbSGVSvEVtqanpwd2jrm5OWLgTLgz9XodtVpNcLGH47pFWv8iRi6X4+XLl1haWkK5XMbXX3+NbDYrcMvvRyqVQjKZRD6fF7opoqFQKOD09BSNRkPopgyUx/q+jAOdTgcnJyfI5XIjO+egPc4GTalUQiKRGKgn2ShErmKxiK+//hr5fB6zs7P47LPPJFFRD/hV9Gk2m1eaiItNFCQIS6vVws7ODtRq9UAr4Pp8PiwvL0Ov1yOTyWBrawvpdPpBxuIEgtgR18hLIIwAlmX5yd309DSWlpZurcB1X/oNnLe2tgZ6bML4odfrsbKyIgqxB7h6kXbVIoaiKCwuLuLVq1fo9Xr49ttvsb+//6AJ06gn+Z1OB8lkEmq1Gg6HY6TnFjPlchk0TY9lCVuxiQ2jRq1WQ6FQoFwuj/S8YhbbrFYrdDodMpnMwKJ8hylysSyL4+NjfPPNN2i1Wnjx4gXW1tYk92y73W6srKzAZDJd+PlNkaWEyeQ+Rs33RavVYnFxETMzM5DJZEOJ9iMQxABJniVMBO12G9VqFVarlS91rVKphuqv43Q6+ZSXVColShNFgnAwDINwOAyfzwelUik6E8FgMIipqSl+IcEtYjgvjv4FhtfrhcFgwNu3b7G3t4dsNotPP/30zt9JCI8PLpXL7/dL2nT6LtzVS4RhGNRqNRiNxrG/JuPIXe4zV62m0+kMfPF0E2IWJAKBAPb29hCNRjE/Pz+QY17uPwdBu93G+/fvkUwmodPp8PLlS5jN5oEdf9Rw40O320U0GoXP57uwqcBdv0n1gCKcR5yGw2HYbDb4fL6hncdiscBkMqHRaPC+UoVCAVqtlvi7EcYC8Y7ABMIAYBgGiUQC29vbCIVCaLfbAM5V/VGYKa+trUEmk2Fzc5PsGhB4OM+efD4v6nSiy4uVm3bqDQYDvvzySwSDQWSzWfztb39DOp2+9RxCeHzUajXkcjkYjcaPdpjHjft4iVQqFbAsK/py7ISPuet95u7tqKN8xIxOp4PNZkO5XEapVBrYcQcp9uTzefztb39DMpmEz+fDH/7wB0mLPf0Ui0Xk83kcHR3BZDLxmwvXRZYSJgOWZfHhwwdQFIWnT58OfROiP7K11+shFAphe3sbsViMzN8JkocIPoSxJZ/PY3t7G2dnZ1AqlZibmxt5jjsxcCZc5rJBs9vtFrpJ9+KmRYxMJsOzZ8/4FK/vv/8eOzs7N07ShfD4yGazoCgKgUBg6OcSkvsuljgRQOzGr4SL3Oc+c/eWCD4X8fl8oGladD5kLMvi8PAQ//jHP9But/H8+XN8+umnI43OGjZ2u503cj4+Pr5gnit2DyjC8BiGUfNdkclkmJ+fh0ajQSqVwtbWFrLZLPH3IUgWUpadMJaEw2Fks1nIZDJ4vV44HA7BUhR6vR7+9re/oV6v45/+6Z/IYmqCEVM1rmFTq9Xw9u1bFItFWK1WvHz58sbSp6MujV6r1R7sUyOlMu73SYfIZrMolUqYnZ0dTeMIA+M+9/n09BRarZakGV+iVqtBq9WKJp2x1Wrh559/RjqdhsFgwMuXL8c6+u7HH3/Ev//7v8NsNuP169d49eoV389Kqc8lPJ5Go4G//OUvkMlk+NOf/iSowJnL5RCPx9HpdGA2m8n4SJAkRPAhjA29Xo9P06pUKigUCvB6vXw+rpDkcjn84x//gMViwe9//3vRTCgJoyUejyOZTI692MPBMAx2dnZwfHwMhUKBTz75RNCIJpZlH/3uSdFPgiyWhotYrq9Y2jEODKKveAzZbBZv375Fq9XC1NQU1tfXRTGXGRYMw+Ddu3fY3NxEPB7HH/7wB3z55ZdCN4sgACzL4ocffkA6ncZnn30miijoXq/He2dxqZT9aw4CQewQwYcgeViWRTqdRiKRwOzsrGgjaLa2tnB8fIyVlZWBGUMSpAXDMMjn87Db7UI35U7cdwF53efPzs7wyy+/oNPpYHZ2FisrK4IsTOPxOBqNBoLB4IMWTwzD4P379+h2u5DL5Xjx4gVZYI+AYQoZXGrTQyMnpCgAEq6HM9OnaRrT09MjPz/Lstjf38f+/j6fIjvOqafcux0KhbC5uQngvAjA8+fPyWJ6QgmHw/jll18QCATwySefCN2cK2k0Gtjb2+PT8sk8gCB2xne7gDARlEolRKNRtFot0TvpLy8vI5VK8YPEOIdmE36FYRgUCgXef0AqYs/lhexti+7+z/dXpwmFQshkMpiZmUEmk8Hx8TFyuRxevnw50tLfrVYLqVQKarX6wQuJmyqVSZ1wOIxWq4X5+XlRRSAOW1CJRqMAgNXV1Xv/7mXvnEFXZRomR0dHoGkaMzMzQjdFVNA0jU6ng0qlAofDAa1WO7JzNxoN/Pzzz8hmszCZTHj58iX0ev3Izj9KGIZBJBJBLpeDxWJBoVCA0+kETdMXhPR8Pg+j0TjW0U2EX2k0Gtja2oJarcba2prQzbkWhmGgVCqRSCSQy+Xg8/lgtVqFbhaBcC3SmJkQCJdotVo4PDzE0dEROp0OfD4fVlZWRBvdA5ybwL148YKPEiDVJsYfzrMnFApJyiT18kL25OTkxgpA/Z/f3NzEu3fvEAqFwDAMNjc3sb29jcPDQ3zxxRdYWFhAsVjEX//6V5yeno7MBDEWi4FlWQQCgUcJGjdVKpMypVIJ3W5XVGKP2Cv0SNlQlmEYlEolUZiQiu2+chE1nBg4bFiWRTQaxV//+ldks1k8efIEv//978dW7AmFQnz6VrfbRaFQgMVigVwuh8Ph4N+jer2O09NTHBwcXDByJownLMvil19+QbfbxbNnz0ZeZOU+6HQ6rKysIBAIoNfr4fT0FPv7+2g0GkI3jUC4EunMTgiEPliWRaVSgc1mw9rammRCKq1WK+bm5lAsFknVrjHnskGzlCK6+hey3O7rbYvu/gUvt1BnGAYMw/AiAk3TWF5exm9+8xsolUp8+PAB3333Her1+lC/T6VSQbFYhMViGYgoLIW+5j40Gg10Oh3RCeZSEFSkKgAaDAYwDINqtSpoO+5aTn6UaDQaOBwOVKtVFAqFoZ6r2WzizZs3+Pnnn0HTNF6/fo2nT5+OXToTN270jw3Ar+/4zMzMR++RVqvlq3cR0Wf8iUQiSKfTCAQCovDtuQ2KouB0OrG2tgaHw4FarUbKtxNEC/HwIUgClmWRzWb5BSgAtNttUe8AXEd/1a4//OEPkhICCHdjXKpx9fsrXJdWczmViwvTt9lsAIDNzU0wDINnz55d+N1Op4OdnR2EQiHIZDKsrq4iGAwOPMKEZVns7u6i2WxidXVV9KmfQpBOpxGNRjE3NweTySR0cz5imB4+29vbAB6W0iVlarUa9vb24PF44PV6BWmDmD2xut0utra2+L5p0O1iWRaxWAybm5vodDrw+/1YX1+X5JzmNi6PH9el/15HMplEPB6HRqPBwsICSe8aQ7iqXHK5HH/84x8Frcr1UPrXJOVyGfV6HS6XS1RRs4TJRRwjK4FwA5VKBbu7u4hEIkilUvzPpToxIqld48/x8bHkxR7g10iW66IYLqfc9H92amoKuVwOTqcTXq8XU1NTF35XoVDg2bNnQ4/26fV6UKlUcLvdROy5hnK5DIqiRBfhwyEWEWCc0Gq1kMlkd041HcY4JeYILrlcDq/XC5VKNfBd+6uiej799FPJzmlu4qq0zGAwiGfPnt3Z88rtdvORPoeHh6JIQyQMjv5UrufPn0tS7AEurknS6TTi8Ti2t7dRLBaFaxSB8J8QmZwgWlqtFmKxGIrFImiahsfjkUSY513gUruOjo5wdHSEhYUFoZtEGCAul4sPRx8XrpqYX2dizP3/LgbHDocDX331FR/t85e//AVra2uYnp4eyM6YXC7H7OwsWSRcA5ceq9PpRLXg5hh2qfFJFQE5ga9YLN5aXniYxtnBYFC0ZtdOpxNOp3Ngx2NZFvF4HB8+fOC9B58+fTp2Qk9/utZVY0R/Ra719fU7PVPc3E+lUpGIiTGDS+WampqCy+USujkDYXZ2FqlUColEAsfHxzAajfD7/dBoNEI3jTChkJQugijhzF673S4sFgv8fv/YTYpIatd4wTAMut3u2D2nd+GmRfl9FuzpdBq//PILGo0G7HY7Xrx48agqObVabaSVwKRKu91Gr9cTZDJ60/NBSp4Pjquuc7PZBEVRN4peYk67GiWP7UuazSY2NjaQTCahUqnw9OlTwVLphsl1Yg73/DEMg3fv3mF7exsURWFlZQWffvrpvZ+pTqcDiqJIepfEqdfr+Otf/yrpVK6b6HQ6iMfjyOVyoGka6+vr5JklCMLkjdoEUcM53NM0jUAggIWFBczMzIzlIpqkdo0PnGfP/v7+RBpL3jRZv89E3ul04quvvsL09DSy2Sz+8pe/IBQKPSg6p9lsYn9/H+Fw+N6/O2kolUpBxJ6bDHvFXqFLSlx3ndVq9a0RTmJOuxo23DMXj8ext7f3IINrzqvnL3/5C5LJJHw+H7766quxFHsYhkEmk0E+n0cmk0Emk7kQ7cP93+FwwGazwWq1XqjKdZ/zHBwcECNniTMuqVw3oVAoEAwGsbS0hEAgwIs9zWaTRB0TRgqRGQmioFarIRqNotFoYG1tDQqFAlarVehmDR2S2iV9Lhs0T/LuTX8UwUNTcRQKBZ4/fw6v14tffvkFGxsbODs7w7Nnz+61wx6NRsGyLOx2+73bMEkUCgVotdqRpzZdFnQup/Vcly44aDKZDIDz1MJx5Lbr3G63Ua1WbxxvxZx2NSz6o8vcbjdSqRSi0SiWl5fvfIxGo4HNzU0kEgkolUq8evVqZELPsFMhr4ITczqdDiqVClqt1pVt4J4n7ncech6bzYZ4PI6DgwNi5CxRwuEwMpnMWKVyXYdOp+PnL71eD/v7+1AoFPD7/SS6nzASSA9JEJR2u414PI58Ps+XOJykSSUALC0tIZlMYm9vD263m3T+EmJcqnENgv4FEoBHp+Jw0T7b29sIh8P4y1/+grm5OczPz986uS+VSiiXy7DZbCSl6wZ6vR5OT09hMpkwOzs7svNyi9HbBJ1RCA3pdBrA+Ao+t13nRCKBbDYLvV5/YyTtJI3LV4lkTqcTqVTqQh930+8fHx9jf38fvV4PPp8P6+vrIxNVhUqFZBgGU1NTePbsGZ/ezKUCXuaxzxPn6UNEH2lSr9exvb0NtVqNtbU1oZszUiiKgsPhQCqVwuHhIcxmM/x+/8T6yRFGA/HwIQhGJpNBLBYDwzAwmUzw+/1Qq9VCN0sQCoUC/v/27jy2sXy7E/uX+06KkihR+65SSaqqrqVfdVXX6+4Xv2cnGRuB4SXjIB47kz8cOJMEMSaZjBPkL8P/xI6BGINkgEnsxDMe23hvPDHmwfGzYXd3bV3V1bVKpX0lJVIkRYr7fm/+4LssSqVdJC+X7wcQiiVxOaLIy3vPPb9zvvzyS9hsNnzyySdNtXNdr5jseae0z0dphY/U8wO42A5+IBDAmzdvEIlEYDQaMT09DafTeWjzTlEUMTs7i2w2W6wWpMPt7e1hZWUF/f39VUt4HDwYlaMSoVSzjGU/6nkOhUJYXV3FwMAAq+FKHHyd5vN5zMzMQKFQYGpq6sgm136/H69fv0YsFoPJZMKVK1eqWr0gV88l6fmy2+1QKpXY3d1FMpmEwWCoaOKJI9vrjyiKePz4Mfx+P+7cuVPWxuj1JJPJwO12IxQKQaFQoLu7u2EG01Dt4VElyUalUkGr1WJ0dBSjo6NNm+wBALvdjrGxMYTDYSwtLckdDp2CQqGASqVq+mQPsL/Ph8PhgMPhKPb82NzcPLJPy2m1t7fj008/xfT0NDKZDJ4+fYonT54c2lPD7/cjnU6jq6uLyZ4TSCO5LzqO/bT9dQ7ry8PkdnUc9TxLf/vTjmdvFoODg7h+/XoxUaFSqdDT04NsNguv1/ve9ZPJJL7++ms8evQIyWQSExMT+M53vlP1pSpy9FyS3tebm5t49OgRBEHAtWvXYDAYKt6DSxrZrlKpuC2pE6VLuZo12QMUeucNDw/j0qVLMBgMfP1SRTEVTlWTSCTgdrvR19cHg8GA1tZW2O12jtj8sUuXLsHr9WJhYQFdXV1c2lWjRFGEQqGAQqHAyMgIX78/dnD5jdSjQTrbfFj/kLNQKpUYGRlBT08PZmdn4Xa74ff731vm1draimw229Q7kqcVjUah1WovlGw/y/KRavXlodNTq9UwGo2IRqNyh1JzDr4+29rakMlk9lXDHVy+1dXVhenp6QtNF7yoavVckhK2SqUSNputOMksFAphcHCwau91p9OJzs7O4mex9BlNtSeRSGBmZqYpl3IdxWw2Y2Jiovj/TCaDtbU19PT0wGw2yxgZNRIu6aKKy+Vy2NraQiAQAAD09fXxYOwIoVAI9+/fh9Vq5dKuGiQt47JYLA05ZaUSytVP4mA1SOkyL4PBgCtXrhy5zEsutVzBkslk8ObNG7S3t2NgYOBc93He5SO19Lw0y5Ku42xtbcHr9eLy5cuyJirqjc/nw5s3b2RbviWnw3q2SQmf0m19td/rPp8PgUCAy7tqEJdynU4wGCxOJ21tbUVPT09DTiqm6uLWkCpGFEX4fD54PB7k83lYLBb09vZyh/IYdrsdo6OjWFpawvz8PCYnJ+UOiX6stGcPGwGfXjnONh+WNJKWea2trWF+fh5Pnz6FzWbDzZs3L7xEqRwq3Tj1ogdS+XweNpsNNpvt3Pdx3oqdWkn2AGAlJQrPQTwe55jgU0okEvjmm28QDAahUqkwMTGB0dHRI/v6NJrSpZk7OztQKpUQBAEmkwnXrl3bl2ip9ntdEAQkk0k2cq5Bq6ur8Pv9GBgYYLLnGK2trTAajXC73QgGg9jb2ytWsdXSZyfVF1b4UMXEYjEsLCxAq9Wit7cXdrtd7pDqQj6fx/379xEOh3kWpEawQbN8TlNFkkql8PjxY0QiESgUCoyNjWF0dFS2Hj6Vbpwq1xSeo9RSxQ5RpeTzeaysrGBxcRH5fB4mkwl37txpqhMA0nt9fX0db968AVA4UaXT6eBwOGpie8RGzrVHql43Go349NNP2V/vlCKRCFwuF1KpFEZGRtDS0iJ3SFSnuIdGZZVKpZBIJAAU1qUODw9jamqKyZ4zUKlU+PDDD6FWq/H8+XOkUim5Q2pqTPZUxmmbeJ6mCWkymYTVasXY2BgsFgsWFxfxN3/zN1hdXUU+ny936GWJ+bwEQYDf7694M9SzOO3vVwuxEp2VIAjY2NjA3/zN32Bubg56vR7j4+Ow2+3F/Z1GVfqeXV9fLzbg7+/vh9PpREdHB0KhUE29t6VGzlKlTy6XkzukppbNZvHs2TMoFArcunWLyZ4zsFqtmJycxPDwcDHZk0wmG367Q+XHCh8qi3w+j+3tbfj9fuj1ei5FKoOtrS08e/YM7e3tuHv3bk31Jmkm8Xgci4uLcDgcTPaUyVkrVKSDicMSC4IgYHZ2Fvl8HtPT01Aqldjc3MTCwgJSqRSMRiMmJibQ29tb9fdQJSpfSs+sX7ly5Vxn1JPJJNbX19Hd3X2hJV1nUWtVSRKXywWg0FuumcViMbjdbvT09NTEkshaIIoiPB4P5ubmEIvFoNVqMT4+jsHBQSgUCszMzEAURUxNTTVkFUnpe7a/v/+9qsXNzU34/X54vV50dHRUdQz8aXi9Xmxvb2N0dJRLN2UiiiKePXuG7e1tXLlyBcPDw3KHVPcWFxcRjUbR3t6Onp6ehtz2UPnxVUIXIooiAoEAtre3kcvlYDKZmn7HuVx6enoQCASwvr6OxcVFXLp0Se6QmpLJZMLk5CR0Op3coTSEg6O5T+rvc1KiYGdnB5lMBn19fcUdn8HBQfT29mJtbQ1LS0t4/vw5lpeXMTk5iY6Ojqolfsp94CM9dx0dHVAqlcVJaGcViUSQSCSq9jyc9W9eTRxHXqBUKhGPxxGJRJjwQaEp/Nu3bxEKhaBSqTA+Pv7eMlFpG+PxeBpuv+ew92xbWxv8fn+xalHqz7a5uVmTk/ecTidaWlouNIWQLmZjYwPb29vo6urC0NCQ3OE0hL6+PrhcLgQCAYRCIXR1dVV1v4bqU+1smanuiKKI+fl5bG5uQqFQYHBwEBMTE021nr3SpqenYbVaMT8/j93dXbnDaRqCIGBtbQ3pdBoAmOwpo7Msdzp40HFw2YAoigiFQtDr9ftGJQOFcdNjY2P47ne/i9HRUcRiMXz11Vd4+PAhgsFgRX63Sit97hwOx7kPrqReR9Ua+VrJJW5UHkajEWq1uukTYOFwGI8fP8bDhw+xt7eHoaEhfPe738Xly5ffW4rS2toKk8mEvb29mlrSVA6nfc9KiZ/r16/XVOWeREr2ZLNZrK6ucnlXFYXDYbx58wZGoxHXr19nQqJMpN5UIyMjUKlUcLvdePv2bcNtg6i8uKSLzkwUxeKGe2trCwDQ1dXFnfgKiUaj+OKLL6DRaPDZZ58x+VBhpT17uru70dXVJXdIDengcqejlj+dVOEjCAKy2eyJ74tkMomFhQVsbm5CFEU4nU5cvny5Lkv9L7JUTBAEvHr1CiaTCePj42WO7OTHrrXPCY5lf2d1dRWhUOi9SUvNIB6PY35+Hm63G0Cheuc0J7DS6TTUanXDTuiS3rNSI/pMJgOtVltTS7dOw+/3Y3Nzk42cqySXy+GLL75APB7HvXv30NraKndIDUkQBPh8PmQymWLFb+kxGpGEWzw6NUEQ4PV6EQwGcfnyZahUKvT09MgdVsOzWCy4evUqXrx4gRcvXuD27dvcmFfIwQbNTPZUTunBwnFJnaPGuks7NUql8lRJUIPBgA8++AAjIyOYm5uDx+OB1+tFf38/JiYmYDAYyvJ7HaWcyY6L3E88HocgCLIkus4Tdy0miRqV1WpFKBRCNBptmkEL6XQaCwsLWF9fhyiK6OjowOTk5Kl7W5VuexrxQEt67ymVymLvr8HBwbp7TzocDuTzeWxtbXFkexW8fv0asVgMU1NTTPZUkFKphNPpLP5fFEXMzc3BYrGgu7u7YRPRdHbc2tGpBINBuN1uZLNZGAwGZLNZbkiqqL+/H4FAAC6XCysrKxgdHZU7pIbDaVzyOKq/S+mB/mEHFwsLCzAajWfuY2OxWPCtb30LoVAIb9++xebmJtxuNwYGBjA6Ogqj0ViW36tUNRsWn5QgkZbs1ENlU602em5U0msiEok0fMInlUphZWUFa2tryOfzaGlpwdTUFNrb2891f9vb2wiFQpicnGy4pA9Q2K4YDAaMjIxAq9XWZSJWOjBm0qeyNjc34XK50NnZiZGREbnDaSrZbBZKpRI+nw/BYBDd3d1ob29vyG0SnQ23dHSseDwOl8uFeDwOtVqN/v5+bjxkcvXq1eJBaltbW8PvkFeb1+tlskcGUq+I0qaf0oG+3W4/dKrH7u4u4vH4ez1opAkyp2G323H37l34/X7Mzc1hbW0N6+vr6OnpwdjYWNkSIgcTWr29vRU7yDhNgsTpdMJkMlW8oumiqtXouaOjo+z3Wa+0Wi1GRkaq1ttJDvF4HMvLy9jc3IQgCLBYLJiYmEBXV9eF9muUSiVSqRR8Ph86OzvLGHFtOGw7XY9Kkz7b29vnbnxPh4tGo3j9+jX0ej379shAq9ViYmICu7u72NraKk7S6+vrYzP+JscePnSsYDCI9fV1OBwOlgfWgHA4jC+//BJ6vR6fffbZe00k6fxEUUQwGERbW5vcoTSlg70iNjc3EY/Hcffu3X1Jn3w+j9nZWYiiiOnp6eI26cGDB8XlBvfu3TvTY4uiCL/fj6WlJQQCAQCFA4OxsbGylKNLiZhkMgmDwVCRihXpeSsdm1yvB2WSclf41GNVApVHOBzG0tJSse+g3W7H2NgYnE5nWQ5KBUHA27dvkcvlMDU11bCfzY3yHgoGg2hpaWmI36VW5PN5fPnll4hEIvj444/PXS1H5SG14fB6vejp6WnIRDSdHhM+dKJUKsWxljVkbW0Nr1+/RldXFz788EOeQbkAQRAQDAa5Y1JjVldX8ejRI5hMJvT39+9LXmxtbcHr9WJgYKD4d8vlcviTP/mTYkLlF3/xF6HVas/12MFgEEtLS/B6vQCA9vZ2jI2NweFwXOi9lsvl8OrVq4omZE5KkKRSKYiiWPPVPaXKdYDJ5WGnV4+vk6Ps7u5iaWkJOzs7AAq9XMbHx9HW1lb2z869vT2srKygvb0dAwMDZb1vqpzd3V3YbDYu77qgV69eYX19HRMTE7h06ZLc4dCPpdNpaLVaHis0OW7d6ERM9tSWwcFBBAIBbG9vY319HUNDQ3KHVJdKe/ZoNJpTN+mkypMqekKh0L7lA+l0Gjs7OzAajfsqsdRqNXQ6HdbW1tDa2oo3b96c+8C+tbUVt2/fRiQSKVYEBAIBtLS0YGxs7NxLP6TxxpVcEnFUg2vJzs4OAoEApqen62baXzmep+OWhy0vLwMA+6L9mFRB19LSUrf9N0RRhM/nw9LSEnZ3dwEUJomOj4+jpaWlYo/b0tICi8WCQCAAh8NRkX5gldQo1TtnEY/Hsb6+zuldF7S1tYX19XW0t7dXffojHa9ePuupsrhlI6ozCoUCH3zwAfb29jAzM4PW1lYmK87oYINmPn+1Z3h4+NDR7UajEb29vfuSLoIgYHh4GF1dXVhfX0cmk7lw3xer1YqbN2/i8uXLWF5exsbGBr7++muYzWaMjY2ht7f3zPd9UkKmHI6772g0Cp1O13Q7gMf1H0mn0zJGVntUKhVMJhOi0WjdTZ0SRRHb29tYWlpCOByGQqFAf38/RkdHq9a/oq+vrzjxq540awWcyWRCT08PGzlfQDwex8uXL6HT6XDz5s262mYQNQsu6WoCv/mbwO4u8Cu/Aty9K3c0VC6hUAj379+H0WjEp59+2rA9A8qN07ga0/r6Ovx+P9LpdEX65KRSKayurmJtbQ25XA56vR5DQ0MYGBioiwRKOp3GzMwMHA5H0zYqPayCYXZ2FgAwNTUlR0g1aXt7Gx6PBxMTEzCZTHKHc6JsNovNzU2sra0hHo9DpVIVp+41wrK0SqvGctNa5/V6sbW1xUqfM8rn87h//z7C4TDu3LnDJvh0Kr/7u8DiIvDTPw38zM/IHU1z4BatSjKZwot7c7PwtbEBBIOFn533Bf+v/hXw5ZeFy21twG//dvnipdpnt9sxNTWFmZkZvH79Gjdu3OCZlVNYWVlhsqfOiKKIWCx2qrP0vb29Fami0ev1mJycxNjYGNbW1rC2toa5uTksLCygp6cHQ0NDNT05TxrH3syTOprtIPa8LBYLPB4PIpFITSd8IpEI1tbW4HK5kM/nodVqMT4+juHh4ZpIwsZiMRiNxqq/7s6yNOuwhvLN+D4pnd61vLyMiYkJmSOqD2/fvkU4HMbY2BiTPXUmHgdevQLm5wvHpbu7gCAAZjMwMADcuQNcv17+25I8mPCpkvV14Pd/v3z3t7AA3L9fvvuj+jQ8PAy/3w+3281GkafU1dUFo9GInp4euUOhU/L7/XC5XBgcHDx0iprUo0X6t5IVLBqNBuPj4xgdHYXH4ykecLpcLtjtdgwNDdXkRMNoNAqguRM+dDpmsxlKpRLRaBSdnZ01lQCQJs+sra0VJ+q1tLRgaGgIPT09NfO+C4fDWF5eRldXF7q7u6v2uGdZmlXa28pgMODatWtNXdkiJX3Yt/J0PB4PVldX0draygRZHfrH/7iQpJFoNIBKBeztFb5evQKmp4Ff+zXg4AyMi9yW5NG8W3YZGI1Af/+7rz/7M+DHJ13PJJMB/uiPAKUS6O0tVAtRc1IoFLhx4wY+//xzvH79GlartaarDOQiCAKy2Sx0Oh3MZjPMZrPcIdEp5XI5bG9vQ6PRHPnaPq5HS6UolUr09PSgp6cH4XAYa2trcLvdeP78OWZmZtDf34+BgYF9rzU5m6KqVCpYrdamPqCj0xFFES0tLXC5XIhGozXR1yWRSGBjYwMbGxtIp9NQKBTo7e0tVtbVWnWr1WqFXq/Hzs4O2tvbzz018CwEQYDf79+X+D5ue3Nwu8ltw7ukD1BYKqhQKPi8HCIajeL58+fQaDS4detWTSWF6XQEARgcLLT6mJoCpGG1u7vAD38IPHwIzMwA//JfAv/wH5bvtiQPbsWqZHQU+L3f2/+9P//z893Xv/23gN8P/If/IRAKMeHT7LRaLb71rW/h/v37ePLkCT799FP2LSgh9exJp9OYnJzkzlud8Xg8yOfzJx68HNcQudKJFpvNhg8++ACTk5PY3NzE+vo6lpeXsby8DIfDgcHBQaRSqeLUMTkOnln9d7i+vj65Q6gpUoWI3W6HyWQ6dLJZtYiiiJ2dHWxsbMDr9QIADAYDJiYmMDAwUNOVGAqFAn19fcVJf9WYprm5uVl8nq5cuXLk36t0e1iNRvL1SBAELCwsQKlUsqfPAZlMBk+ePEE+n8edO3e4v1mnfuM3gEuX3v9+WxvwD/5BoWLnyy+BJ0+An/1ZoPR820VuS/LgFqxKyvVZuroK/O3fAp2dhYTPv/pXZ7t9Lle4/ZMngM9XiGtgAPipnypkaak+tbS04Pr16/jmm2/w9OlT3Lt3r2ZK2+V0sEEzd9rqSzKZhN/vh9lsRmtr64nXP+yg5aglDpVIAmm1WoyOjmJkZASBQADr6+vweDzY2dmB2+2Gw+FALBbjAVYNsVqtcodQM0qX+IRCIdjt9mKSspqv13g8DrfbjY2NDSSTSQCFyouBgQF0dnbWXDXPUaxWK2w2G4LBIBwOR0UrS6XEXEdHB5RK5ZHLWg/bHnJb9D6lUon29nZO7zpAEAQ8e/YM8XgcV65cgcPhkDskOqfDEjalPv74XZ/Y9fX9SZuL3PYgUQQePCh8eb2F//f0AJ99Bty+fcIvQafGrVcdyeWA/+f/KVz+T//TwprJs0ingd/5HWBtrZB9VauBVKrQD2hxEfjlXy68Sak+9fb2IhKJYGlpCS9fvmz6Js6cxlX/tra2IIriuaswSg9gS6sUKj2CWKFQwOFwwOFwIJVKYXNzE7FYDFtbW4hEIhBFEb29vejp6anK2dGNjQ2oVCq+B+hYB5f46HQ6CIJQlYq0dDqNra0tuN1uhEIhAIBOp8OlS5cwMDBQt1UEfX19iEQicLvdFetzctrGy0dtD+lwpY2cmfQpmJ2dhd/vx8DAQFWq1kg+pceYZ53nfdrbCgLwv//vhZ4/SmWh3086XShuWF0tFCZwild5NPeWq878u38HeDzAvXvA+PjZb/8Xf1F4M/36rxeaaalUwM4O8Id/WHhj/emfAjduAHW6X0UALl++jGg0CrfbDavVirGxMblDkgWTPY2hr68PNpsNRqPxXLc/rLdPtQ969Ho9xsfHMTY2Br/fj+3tbWxtbWF2dhazs7NwOBzo7e1FV1cXNGfN4p+C9PuyWfPhOJZ9v9IlPmtrawiHw8hmsxV5beZyOXi9Xrjdbvh8PoiiWExM9vX1ob29ve4TEjqdDgMDA+fehp3kLI2X5eh1Vu+Y9HlnY2MDq6uraGtrw9WrV5v6hGIzWFx8d/msM05Oe9vPPy8khH71V4FbtwqJolAI+OM/Bl6/LvQDun0b4AC4i2vOrVYdcrmAv/orwGoFfu7nzncfmQzwT/4JUNKTDp2dhQTQP/2nhazq69csoatnUhPn+/fv4+3bt7Barejs7JQ7rKpTKBTQaDRM9tQ5nU534ZLx0gNYaRmXHAc9CoUCHR0d6OjowJUrV4rLvHZ2duD3+/Hq1Ss4nU709fUVl2WUQywWgyiKZVm6dNwyODkbUlN5SX9Hq9WKYDCIaDR6qiWVpyEIAgKBAFwuV7E/l/Te6O3thdPpbLgD6sMmC5aLUqnct/TupOeOPXvOTkr6RCKRpn3ednd38erVKxgMBnz44YdN+zw0i0QC+Mu/LFweGyscK1bitonE+/2A7PbCdK//8X8sTPx69qzQwoQuprE+VRuUIAD/9/9d+Pc//o8L077O4+bN/ckeicUCDA8XlnZtbV0sVpKfRqPB7du38cUXX+DZs2f45JNPmubsvnTQqVAoMDQ0xDNQdcrv90OhUKCtra0sf8PDlnHJedCjUqnQ3d2N7u5uZDIZbG9vw+12Y3t7uziRrKenB319fReeQBT58SjIiyZ8jlsGV6klckwiyUt6zUQikQslfERRRDgchsvlwtbWFtLpNADAbrcXlzbqdLqyxFzLgsEgstlsWU/CrK+vF/stnfa9x/fU2Tmdzn39o5pp25RIJPD1119DqVTi9u3bTfFebWaiCPzBHwDhcKHi5u///crddmTk8H5AajUwOQk8esTj0nJhwqcO/H//X6HC5+rVQsnbeR233LalpfBvPH7++6faYTKZ8OGHH+Lx48d48uQJPvnkk6qMhZWTtIzLZDKht7eXyZ46lc1msbW1BbVaXbYz47Xcu0Kr1WJwcBCDg4NIJBJwu91wu91YX1/H+vo6DAYDnE4nnE7nuZa4RCIRqNXqC/VAOe75q9RzW+k+S3QyjUYDvV5fTBqehSAICAaD8Hq98Hq9iP9458JkMmFwcBC9vb0wGo018z6sNGniWDKZREtLS1kOmg822W6mJIQcpH0Kr9eLYDDYFMu7crkcnj59inQ6jQ8//BA2m03ukKjC/vRPC6s9AOCXfgk4S5H8WW/L49LqaewtVQPweAprGHU64D/5Ty52X8ftX0j7CPn8xR6DaofD4cD09DTevHmDZ8+e4aOPPmrYncHSnj0mk0nucOgCtre3kc/nMTg4WLak3VmXcVXjwOmwxzAajcV+P1Kj1+3tbaytrWFtbQ1qtRodHR3Fs80nJXGz2SySyeSFl+Mc9/xVYolcLSfomo3VaoXP50MqlTpxDHo2m4XP54PX68XOzg6y2SyAQh+roaEh9PX1oaWlBQqFoukSetKY9oWFBbhcLoyOjl74PtmTRz7JZLLhe/qIoogXL14gHA7j0qVL6O7uljskqrDvfx/4u78rXP7FXzzbIJ/z3Pa4jxQel5ZXY26lGsgf/3FhOtfP/ExhKdePK6GLBKHwryi++5laXWjITDQ0NIRIJIKNjQ3Mzs7iypUrcodUdmzQ3DgSiQQCgQAsFgtapNM7ZXLaZVzVOBA96TEUCgVsNhtsNhsmJycRjUaLlRLSsi+FQoHW1tZi9c9hI5/VajXGxsagKsMHwnHPX7mXyPFAtna0t7fDarUemVxMJBLF12YgEID445EsNput+Nq02Wz7krfNmtAzm81obW1FMBhEJBJ5b5ml8OMdurM8F3IvT21GzdLIeXFxEdvb2+jq6sKlk+ZwU937wQ+Av/7rwuWf/3ngJ36iOrel6mi8LVSD2d0t/Pvnf174OkowCPzX/3Xh8i/+It9sVKBQKHD16lXEYjGsrq7CarViYGBA7rDKhsmexuJyuQDg3GPYT3LcQZF0sHXc0iU5qlcUCgWsViusVivGx8eRSqWws7MDr9cLv9+P3d1dzM7Owmw2Fw+wW1tboVAoirctl+PiLPcBZ7UOZMtRadHIDAbDvuWAoihib2+vmOSRlnsplUo4HI7ia/C4JYTNnNDr6enB3t4eXC4XJicni4mw9fV1vHnzBgBw5cqVMyWbm+n5qxWNnvTxeDyYn5+H1WrFjRs3uES+wf3gB8CPflS4/HM/B3zve9W5LVVP42ydiOhQSqUSH374Ib744gu8evUKZrO5olNDqimVSiGRSDDZ0wDS6TRSqRQcDseF+s2cx/r6Ovx+PxwOx6EHouet+jksSXTRg129Xo+BgQEMDAwgn8/D7/cXD76Xl5exvLwMrVaL9vZ2mM1mdHd3w2q11uUOezUOZNmA9HiiKCIWi2F7exvRaBSBQKDYdFmr1aKvrw9OpxMdHR1nOuBt1soUrVYLp9MJr9eLZDIJo9EIQRCKyVuFQgG/33/oc8MePbVFSvpsb28jmUw2zHCMSCSCb775BlqtFrdv326oRBa97/vff1ed83M/B/zkT1bntlRdfBfXuN/+7eN//od/CDx+DLS1nXxdal46nQ63b9/G/fv38fXXX+OTTz6B8bzj3mqI0WjE5OQkD9oagE6nw9TUVNUTE4Ig4M2bNwgGg2htbcXf+3t/ryxNiY9LEpXrYFelUhUrKkorL3Z2drC9vQ2gUJYvJYDa2trQ3t4Oi8VSlwmgSpCSF9yGFIiiiHg8jkAgUPxKl6wlt1qtxSSPVEl2Xs2avOjs7ER7ezs0Gg2Ad9VR0okYh8Px3nPTbD2P6oXT6YTdbm+Y7Uc6ncaTJ08gCALu3LnTEPuJdLTShM3P//zZqnMucluqPiZ8qiiReNdzB3h3OZMBYrF339dojm+wTHQeNpsNN27cwNdff42nT5/i3r17dXnmRhAErK+vo7u7G3q9vmF2tJqZdOZaztej1HsE2H8gqlQqYbfbEQqFTl2Rc5okUbkPdhUKBex2O+x2Oy5fvozt7W2srq7CYDAgGo0We/8AKCaApCRQMyeAlpeXAQBTU1MyRyKP0gTP7u4uAoEAUqlU8edWqxUOhwPJZBJ9fX0NtSRYLkql8r2lolISWPp5qWbteVQvpH2QTCYDl8uFgYGBut23+vrrr5FIJHDt2rWGqQSnw5X23fmFXwC++93q3JbkUX9bpDr2W7/1ridPqR/96N36RwC4cwf41V+tWljURLq7uzExMYH5+Xm8ePECt27dqqsDvdKePQaDAV1dXXKHRBeUyWQwNzeH7u5uOByOqj++UqnElStXiku6DjuzHgqFYLfbT31mvXTZlt1ur0DUJ5OWi1y7dg0qlQrZbLZ4QB8IBA5NALW2tqKlpQU2m60uD1iOwqUw7+TzeYTDYezt7SEUCh2a4Onq6iomA3U6HURRxKtXr/Zdjy4uFAphY2MDly5dgsFgOPI12sw9j+qJ9L5Kp9N12dPnzZs32N3dxdDQEKvIGlww+O64U6EA/uqvCl9H+d733i3XushtST71tTUiogsbHx9HJBLB9vY2FhcX62b6wsEGzUz2NAa3241cLidrpdZRS6yk3hqCICAUCh2ZODjs+4ODgxAEAbOzs8UJedXaiRZFEdFoFCaTqTihS6PRFJd/ATg2AQQUJgq1tLQUE0A2m624BKWeNPNSmFwuh0gkgr29Pezt7SEcDiMaje6rZjsswXOQQqGAxWJBOBxGPp8vy9Q3KlSG5PN5uFwujI+PH3vdZu15VE8cDgfy+XxdNnJeW1vD+vo62tvbMT09LXc4VGElHwEQReDHvfePVDoh+iK3JfkoxNJPfiJqCrlcDg8ePEA4HMaNGzcqNhWpXDiNqzHFYjEsLCygpaUFIyMjcofzntNMzjkqoSAIAr755hvMzs5CoVBgcnISN2/erMoBm/S8dnV1obu7+1S3yWazCIVCxbPUe3t7SCQS+64jJYFsNlvx31pOAgmCgBcvXiCXy0GtVuP69evvPf+zs7MA6n9JVy6XK/7tpH+j0ei+6xgMhn1/v5aWllMnWn0+H1wuF0ZGRtDS0lKB36B5lCaI19bWEAwG+bw2EK/Xi62tLRgMhrpI+ni9Xjx9+hQGgwGffvoptFqt3CERUZnV9laIiCpCrVYXmzi/ePECWq0WnZ2dcod1pJ2dHSZ7GowoinC5XFAoFDX5N5X6ZnR0dECpVBb7axx2ncN6a5ymEWul5HI5aLXaM41k12g06OjoQEdHR/F7mUxmXwIoHA7D7XbD7XYXr2MymWCxWGA2m2E2m2EwGGC1WqHT6WRfLtpoS2FEUUQmk0EsFkMsFkM8HkcsFkM0GkWstBEgUFzyWlqldZEqOqvVCo1Gg3w+f9Ffo6mVJoiBQiJtd3cXOp0OVqu17l+jtH9ku8fjqekTasFgEM+ePYNGo8GdO3eY7CFqUKzwIWpi0WgU9+/fhyAIuHv3LlpbW+UO6VCiKCIUCtVsfHR2gUAAGxsbcDqd6OnpkTucQ51mOdBJ1xEEAYIg1PxZ3tPKZrP7EkBSJZAoitjZ2UE0GoXFYkFPTw9MJlMxEWQ2m4v/r3ZV0HE9fGqxwieXy+1L6JQmeLLZ7HvXNxqN+6p2LprcoYs77DUnVZxlMpni9iCXyyEajcJutxenn1FjCAaDaGlpqdkkXiQSwYMHDyAIAj7++GPZ+s0RUeUx4UPU5ILBIB49egSVSoV79+7BYrHIHRKAd9UTcjTypcqLRCLweDwYHR2t6Z4gp2n4e9x1mqGHjCAIiMViePz4MWKxGDKZDHp7e5FIJA5t9KvT6WAymaDX64tfOp1u3/81Go3sFULlJooicrkckskk0uk0UqlU8Uv6fzweP/I5O5g4M5vNMBqNNf3+aUYH3/Ol24cHDx5gfX29uC1YX1/HwMAAOjs74XA4eNDdoAKBAFpaWmom8Z9MJvHll18inU7jo48+2lfZSUSNhwkfIsLOzg6ePHkCvV6Pb3/72zAYDLLGU9qzh70NqF6dpodMuUWjUezu7sLpdEKv11f0sQ46LLmVy+X2VapIl+PxODKZzJH3pVQq30sC6XQ66HQ6qNXq975UKlXxcqUTRaIoIp/PI5fLHfqVz+f3JXRKLwuCcOT9arVaGI3G9xI7JpOpJqqiMpkMPB5PsZpI7nhq0cH3vN1uRygUQltbG/r7+w+t8NFqtVXZNpA8pJ5qtdLTJ5PJ4P79+4jFYnXRw5GILo4JHyICAGxubuLFixewWCy4d++ebGu52aC5saXTaeTzeRiNRrlDqYpqV/i4XC74fD5MTU1VPeEDnO3AXBCE9ypdDiZIpP+fRWnyR/pSKpVQKBTFZJD0r9STRq1WF6dXiaJY/BIE4dCEzllIiarS5NXBqiadTlczlTpHvWaz2Sxev36N1tZWDA0NyR5PLTjs9S7FKyV7ShO+m5ub+3r4HPy9UqkURFGU/aQLlVetNHLO5XJ49OgRQqEQpqena3JYAhGVHxM+RFS0tLSEt2/forW1FXfv3q36AQiTPY1veXkZ4XAY09PTTdNn5LgkSLkrF2ZnZ5HP53H16tWy3afcBEFAJpNBKpVCJpM5srJGSsYc9n1BEN5L6EiXAexLBJVeViqVR1YSHfZ9jUYDlUoFrVZbTOTUU+XGSVVpb9++RTabxbVr12oinmo5LrFz2IQ+oFCldth1Su+r9HIul8ObN29gMBgwMTFR+V+KqkrupI8gCHj69Cl2dnYwOjpaU33LiKiyamMxKRHVhNHRUaTTaaysrODZs2f48MMPq7pzvbq6ymRPA4tEIgiHw2htbW2aZA+AQ99DgiDsO9tfjsqFbDaLVCpVrB5oFEqlslgJU2612LRZTidNNrNardjZ2UEymaxKFUotTForrdgZHh4GUHj/+v3+Yq85aULfwQTP4ODgvul90u902GW1Wo329nb4fD4Eg0EOKWgwpdO7lpeXq5rUE0URL1++xM7ODvr6+jA5OVm1xyYi+THhQ0RFCoUCU1NTSKfTcLvdeP36Na5du1a15qldXV0wGo3o7u6uyuNR9Uhj2JVKZc1O5aqW1dVV7O7uwuv1oqOj472R7ucViUQA4Ezj2IkOOixJIZESPpFIpGrLjo6Lp9KkhM7m5ibm5uYAAMPDw9jc3ITX6wUAXLlyBUqlsnjdXC637z19lri7uroQDAbhdrtresITnY+U9Kn2kua5uTm4XC50dnbigw8+aLiG+ER0PH6SENE+CoUC169fR0dHBzY2NjA/P1/Rx5P6eACAyWRisqdB+f1+pFIpOJ1O2fpD1YLV1VU8evQIbrcbwLsKhnIc2EkJn4OT9o5rFEx0mKNej2azGQqFovhakzuecjju/aFUKmGz2RCPx2EymYo9eXZ3d9HR0QGn04n+/v7iddva2qBWq8/9nlar1eju7kY2my0mlKixOJ3OYlJeWqJaSSsrK1haWoLdbsetW7eYRCRqQqzwIaL3KJVKfPjhh3j48CEWFxeh0+mKpezlJPXsSafTuHz5ctUn0VB1CIIAj8cDrVaLzs5OucORjSAICIVCMJlMiMfjuHv3LgYHB8u2A97Z2Qmz2bzvfVS6xESuKglqHEqlEv39/bI0BK+Ek3rsrK+vIxwOo7+/HyaTaV9C57BlZuWoRmpvb4ff78fOzg46Ojpkn+pElZHP57G4uAilUlmxnj5utxszMzMwm8346KOP+FoialJ85xPRodRqNT766CPcv38fb968gU6nK+tSnIMNmpnsaVxKpRKjo6PI5/NNnXCQKgAA7OsHclpS49qjGI3GfQfipUtM3rx5A7/fD4fDUXOTjuTUTL2kyqW9vV3uEMpCen9kMpniEqzSvlr9/f3F94/JZMK1a9eK77/jEjsX3cYpFAr09/dDFEUeoDcwlUqF9vZ2bG1tYXFxsexJH5/Ph+fPn0Ov1+POnTtNXVlL1Oyad8+biE6k0+lw9+5d6HQ6fPPNN/D7/WW5X07jaj4mk4m9ZVA4ULx+/fqZkz0PHjzAn/zJn+DBgweH/jyTyWB1dRUvXrzA+vp6sUqhtAJBOsDlEq93RkdHMTo6KncYdad0KW69UiqVSCaTWFlZQTKZBIB9PXgA7KvoOXgwXsnktdlsfm9pJjUep9OJnp4eJJNJLC4ulm15VygUwtOnT6FWq3Hnzp2q9wwiotrChA8RHctoNOLOnTtQqVR4+vQp9vb2LnR/TPY0l42NDYTDYbnDqClnPVDM5XJYX19HOp3G+vr6oQcF6+vrePz4MbLZLN68eYNvvvkG6+vrGBwcxM2bN3HlypUL9RYhKjUzM4O1tTW5w7gQQRBgMBgwMjJSbEB9sAePlKCVqyouGo1ibW0NoijK8vhUeeVO+sRiMXz11VcQRRG3b9/miRYiYsKHiE5ms9lw+/ZtCIKAr776CvF4/Nz3pVAoir1cmOxpbHt7ewgEAhdOEjY7tVqNwcFB6HQ6DA4OvldpIIoi4vE4urq6oFKpAOyv5qmFA9da5ff7y1a52EzMZjPi8Tjy+bzcoZybVAGn1WqPTfDImSCNRCIIBoPFiiNqTFLSR6vVXuj1lkqlion/Dz/8sLiEmIiam0LkaQMiOiWPx4OnT5/CaDTi3r17ZxrLW9oIUxRFjgVtcIIg4O3bt8jlcpiammKPpjI4qodPLBbDwsICuru70dnZua8PyWEJntL3YrObnZ0FAExNTckcSX3x+/3Y3NzE8PAw7Ha73OFcSC2/H/L5PGZnZyGKIqanp4sJXWpMpftGZ31dZjIZPHz4EJFIBB988AEGBgYqFSYR1Zna/IQjoprU1dWFDz74AIlEAg8fPiz2PTiJtIzL5XIBAJM9TcDn8yGdTqOrq4vJnjI5qqGnNCLbarWeWM2zvr5e7PNDdF7SMpFoNFr1xz6sB9VF+lIddlBdK32uVCoVenp6kMvl4PF45A6HKkzaN/J4PJifnz/18q5MJoNHjx4hEolgcnKSyR4i2ocJHyI6k4GBAVy9ehXxeByPHj1CKpU69vqlPXuY6GkO2WwWHo8HOp0OHR0dcofT8CKRCFQq1b7GnKUHsdLBa+nULjZvpovQ6XTQ6XTFZGO1HJawPC6JeZ7XeK0lRdva2mA0GuHz+U78vKXGoFAoTt3TJ5vN4vHjxwiHw5iYmMDY2FiVoiSiesGEDxGd2dDQEKanpxGLxfDo0aMjp7WwQXNzkno89fX1MclXYaIoQhAEWCyWQ5/r0oNXqWcJmzdTOUhTpKrVx0cQBPj9/n0Jy+OSmOdJ3NRqUrS/vx9AYfkmNb7TNnKWkj17e3u4dOkSLl26VOVIiagecG+PiM5lZGQE09PTiEajhyZ9mOxpXi0tLZienobNZpM7lIanUCgwOTl56Jj3ww5epeVe0gEknU+tJALk1N/fX9W+Mpubm/B6vfD5fMWE5VFJzPMmbmo1KWoymXDlyhW0t7fLHQpVyUlJn2w2i6+++gqhUAhjY2NM9hDRkQ5vCEBEdAojIyPF5ryPHj3Cxx9/DK1WCwBIp9NIJpNM9jSZfD4PlUrFvj1Vdlh1j3TwKjVwlg5eS5s69/f318xBrRzOM7J4fX392KbYzaLS1XulTWulBE5HRweUSuW+hOXg4OB7r+OjXvuncdj91QJpm5rP56FUKlk92QScTieAQk+fVCoFs9kMoNDA/6uvvkIwGMTo6CguX77M1wMRHYlTuojowhYXFzE3NwebzYa7d+8Wkz6ZTKZ4mRpfMBiEy+XCyMhIcceUKmtzcxNmsxmtra1HXufggfOLFy+Qy+Xg8/ngdDrhcDhOTFyUc5JRLU9FOknp86dWq3H9+vW6/V3KIRwOIxQKnTnxddJr4LCk2nkSbfX8WjtMMpnE0tISnE4n+6M1kdJ9KSnZs7u7i5GREUxNTTHZQ0THapxPQSKSzfj4OCYmJhAOh/H5558XG3ky2dM8BEGA2+0GABgMBpmjaQ6ZTAZ+v//ESUmHVT4crJwoXfJycPnL6urqqXuhnLR0ptYa4p5VrS75kUssFsPu7i4SicSpb3PSa+Cw5VilyxHPklxqtL+PTqeDQqHA9vb2qSc4Uf2T9qWSySQ+//xz7O7uYnh4mMkeIjqVxvokJCLZjI2Noa2tDclkEk+fPkUmk5E7JKoir9eLbDaL7u7uqvX0aHal49jPYnBwEDdv3sSVK1feS1wcPBhfXV3Fo0ePisvAjkvonOdAXm4ulwsul+tMtzlP4qFRSa+9007rOvgaOJi0kCpySpNqm5ub+xqPNzOlUone3l7k83lsb2/LHQ5VUS6Xw5MnTxCPx2Gz2TAxMcFkDxGdSnN/chJRWUgNmvV6Pbq6uooj25n0aQ6ZTAZerxcGg4FNRatIOsiWpiWdhVKpfC9xcdjBeCgUgslkQjweh91uP/KA+6hkjlSdIT1mrVXHRCKRc40Wr4XYa4HJZIJSqTz1c1j6Gkgmk/sShKUJw9Lm4rWWJJSb3W6H2WyG3+8/U2UV1S9pGVc4HEZnZyfMZjOWlpZY5UVEp8I9FiK6kNJpXE6nE9/61reKy7sePnx45Mh2ahxutxuiKHIMe5VFo1EYjUao1eefv3DYci8pISP929/fj7t37x46Ceyo2yqVSqyvr+OHP/whfvjDHxYP6uWojmGSoHKUSiXMZjNisdipn+fBwUFcu3YNoVAIs7OzePPmzb4ko5TYOW4KV7Pr6+sDgOIyWmpc0uh1aRnX7du30dvbe+LIdiIiCad0EdGF+Hy+90avX7p0CQqFAnNzc3j48CE+/vhj6HQ6mSOlSrFarVCpVOeqNKHzSSQSyOVyZa+oOjih6CwTi0qvKwgC/H4/gsEgRFGE3+8v/qyaB+2cqFV5VqsVkUgEsVjszMsLpQTxcVO1anVqlpyMRiM6Ozuh0WggiiIT7Q1KSvaEQqF9DZql6V1bW1vwer2chEpEx2LCh4gupLOzE1qt9r0pQePj41AoFHj79i0ePnyIu3fvQq/XyxQlVVJ7ezuXclWZRqNBb29vRZJsBw+sz3OgrVQq4XA4itsFh8NR9SlfB5eZVSNp0GhToU7DZrNBFMVTb9+lJJzdbi9OiZOWGB71N2q25/Q0eJDf2LLZLB49eoS9vT2Mjo5icnJyX2LP6XRCp9OhpaVFviCJqC5wLDsRnZkgCAgEAqcaC7uysoKZmRmYzWbcvXuXE5waSCQSgU6nY/UWATi8mkbq4XORZWcnPcZFrj87OwsAmJqaqnpszejgWPtr166V7bXRrLLZLBKJBGw2m9yhUJlkMhk8evQI4XC4OAX1pCouv98Pu93O9xMRvYenTIjoTKSePS6XC3t7eydef2RkBFeuXEEsFsPDhw+RTCYrHyRVXD6fx9raGhYXF8HzBtUlimLN9W04qmnz5uYmXr16da4x7IdNcDprA1+pX0xpAqpUR0fHqRLXJ6n2BLJq3v9xj1X6s3w+/951D/7/sD5R7LF0McvLy1hdXUU2m5U7FCqD0mTPpUuXTpXsicVi2NzcZE8fIjoU08BEdGqlDZo7OztPXUo8PDwMhUKB169f48GDB7hz5w7MZnNlg6WK8ng8yOVyGBwcZP+IKovFYlhcXMTAwEDNLKU7rAfLRZZUPXjwoDit6d69e8c+xsH7LP1eadUNgPcqcBwOx5kTDoc95nE9aI66zVl+XqrSlUSl9y8IAkKh0KGPVXq9lpYWrKysYGhoqLiM76g4S5dusSrq4rq7u7G8vIytrS0+h3UumUzi8ePHiEajmJiYwKVLl051O7PZjJ6eHmxtbWFxcRHj4+Os9CGiIlb4ENGpHEz2nLV/wNDQED744AMkEgncv38foVCoQpFSpaVSKfh8PphMpuKBNFWPNALbaDTKHMl+BydwnXfCUi6Xw/r6OtLpNNbX1/edsS59jNIx3pLS75UmnPx+P/x+/3sVOIfdx3GOu/5RE8ik26yurp76Po9KQh38nQ673kUqZkrv/9WrV3jw4AE2Nzffq1o6mMyT+vdEo9FDf35YpU+1q6Ialc1mg9Vqxe7uLuLxuNzh0DlFo1Hcv38f0WgUU1NTp072SJxOJ3p6eji9i4jew4QPEZ3K6urquZM9koGBAXzrW99CLpfDw4cP4fP5yhwlVUPpGHaqvkgkArVaXXMJH+D95rrnGcOuVqsxODgInU6HwcHB985UH5UsOPg9AMWEk8PhgMPh2Jd8EgQBL1++LFaZnJRwOE2C4rDKnt3dXWxubuLRo0fvJX0Ou8+jkkpSFVBbWxu8Xi+8Xi82Nzf3XeesCazD4peeH6VSCYvFgng8Drvdvu93O5jM0+v10Ov1xWTkaZJ9HLlePn19fVAoFHC5XHKHQucQDAZx//59pFIpXL9+HaOjo+e6n9Kkz/LycpmjJKJ6xXo/IjqV7u5uGI1GdHd3X+h+urq6cPfuXTx58gRfffUVbty4wWkjdSQejyMcDqO1tRUmk0nucJpOLpdDIpGA3W6XO5RTO8+B/L179/DRRx8duSzhqCVUB793cPJT6WWlUgmj0Yi9vb1TJRyOW7Z11JIspVIJu92Oubk5mEwmhEKhfdc9eJ8ADl0GV7r0KZfLIRwOw2Kx7LtOuaaSSc+ZVNljt9sxPDx85PWkx7BYLPD7/Uin08Vk3UkxcOR6eej1ejgcDvh8PoTDYTZwriM7Ozv4+uuvAQC3b99GZ2fnhe7P6XRCoVDU5AkBIpIHp3QR0ZEEQUAmk6nIOPVIJILHjx8jlUphenoaIyMjZX8MqoxwOAyj0QiNRiN3KE0nFAphdXW1pvr3yOmkHj4nmZ2dhSAIuHLlyrkf8zR9aFZXVw/thSPd11F9hwYHB/dNtvJ6vQiHw0gmkzCZTLh79y4GBwePvO15fp/T/uygvb09rKysoL+/Hw6H41S3ofLJ5/OIRCJ1lQxudpubm3j58iXUajU++uijYv+rckqn01CpVOzpQ9TE+O4nokNJPXtSqRQmJyfLfnBvtVrx7W9/G48fP8bMzAzS6TQuX77MBsB1gGeP5ZNOpwEU3j90+BKqs1aLnLe6RFrSdZqqmuHh4VMnig5WvUhVQH6/v7jMSqlU4qOPPoJSqcSLFy+KVThnrZg5KUF0lufGYrFAoVAUX6NUXSqVismeOrK8vIzZ2VkYDAbcuXMHFoul7I+Rz+exuLgIlUrFRs5ETYwVPkT0nos2aD6LdDqNJ0+eIBQKob+/H9euXWN5fw3K5XJYW1tDT08PS8Vlls/noVKp5A6j5pynumV2dhYAMDU1deR1Dqu+SSaTMBgMR07/Oklp1Y5arcb169dPrLIRBGHfMqvBwUG8ePECm5ubiMfjuHv37qFLr8oRw2nxtSm/VCoFl8uF/v5+6HQ6ucOhA0RRxOzsLFZWVmCxWHDnzh0YDIaKPZ7X68XW1hYMBgOTPkRNikdVRLRPNZM9AKDT6XD37l10dHRgc3MTT58+5XSJGrS9vY1IJMKz9zWAB9Tvq9TEp8OmfmUyGayvryOTyRSres7amPq0DYtLH1/qSXT9+nUMDw8X+wPF4/F9/YHKHcNZ8LUpv2w2i0gkArfbLXcodIAgCHj+/DlWVlbQ2tqKe/fuVTTZA3B6FxGxwoeISlQ72XPwsV++fAmXywW73Y6PPvoIWq22ao9PR0skEpibm4PFYsH4+Ljc4TQtqXeLw+HggfUhzlPhI02VOmyJ3GEVMFKFTWmFz1kSPYc9xnGVPaepwDmqP1A5YjjPfQUCAWg0Gi4vkpH0mhgfH6/IUiE6u1wuh6+//ho+nw9OpxO3bt2q6naclT5EzYvvdiIqUiqV0Ol0MJlMVZ+cpVQqcf36deh0OiwvL+P+/fu4e/duxc9+0cmkM8WcpiavQCCAvb09NsQ9wnkmPh3XC+mwqVylj1GORMlxtz9uKlipw/oDlSuGs1IoFNja2oLRaGTCR0Y9PT3Y29uDy+Vib7wakE6n8dVXX2Fvbw8DAwO4evVq1ZeuO51OAIVJmzxhQNRcWOFDRGU9w1sOUjNDvV6PO3fusEGtjKSpUO3t7RgYGJA7nKYliiJevXoFvV6PiYkJucNpKnJvH+V+/LNaXl5GJBLBBx98UFdxN5rt7W14PB5OTZNZIpHAo0ePEI/HMT4+jomJCVkTcKIoFh+/3rYtRHQ+fJcTNTlpGdfGxobcoRSNjo7ixo0bSKfTePDgAYLBoNwhNa1kMgmVSoWenh65Q2lqiUQC+XyeyzPKbHZ2tti4+ShyHxDJ/fhnZbVaIYoiotGo3KE0NafTCY1Gg1QqJXcoTSsSieD+/fuIx+O4cuVKTVRbSY+/tbWF+fl59vQhagL1tRdBRGVV2rOn1kp8+/r68NFHH0EQBDx69Aher1fukJpSd3c3rly5wvX+Mjuu1wxRLZGSktJrluShVCoxNTWFvr4+uUNpSru7u7h//z7S6TRu3bp1pgl61aBSqdjImahJMOFD1KTkbNB8Wh0dHfj444+hUqnw9OlTbG5uyh1S08jlcsWJP7WWDGxG0WgUSqUSZrNZ7lCIjmUwGKDRaFjhUwOkbbcoijyoryKPx4NHjx4BAO7cuVOTFbKc3kXUPJjwIWpC9ZDskdjtdty7dw96vR4vXrzA3Nwc2Hqs8lwuF96+fcudwBrR1taGrq4u2ZcDEJ2G0+lk35gaIQgC5ubmsLa2JncoDU8URaysrODp06fQaDT4+OOPa/p9wKQPUXNgjT5RE0qn00gmkzWf7JFYLBZ8+9vfxtOnT7G4uIhIJIKbN29ymVGFxONxBINB2Gw2Psc1oq2tTe4QiE6to6ND7hDox5RKJYxGI3Z3dxEOh2Gz2eQOqSHl83m8evUKLpcLZrMZH330EUwmk9xhnUia3uXxeJBOp/mZT9SAOKWLqEllMhlotVq5wziTfD6PFy9eYGtrC1arFd/61rfqYoeq3szPzyORSGBychJ6vV7ucJoeJ6lUjtSweWpqSuZIGhNfu7Uhm81iZmYGGo0GU1NTrBQss1QqhadPnyIUCqGzsxM3b96ERqORO6wzqcd9QiI6HX4KEzUJQRCwsrKCRCIBAHX5wa5SqXDz5k1cvnwZkUgEX375JQKBgNxhNZTd3V3E43F0dHQw2VMj5ufnsbCwIHcYDWl0dBSjo6Nyh9GQVlZWMDMzI3cYBECj0aCrqwvpdBo+n0/ucBrK3t4evvjiC4RCIYyOjuL27dt1l+wB3u0TptNpLC8vc3kXUQNhwoeoCUg9e/b29rC3tyd3OBeiUCgwPj6O27dvI5/P49GjR+xNUCb5fB5bW1tQq9Xo6uqSOxxC4cx8MpmsywRtPdDpdNDpdHKH0ZC0Wi2y2SzHgteIjo4OaLVaeDweZLNZucNpCG63G/fv30cmk8GNGzcaonoqHA4jHA6zpw9RA2HCh6jBHWzQ3N3dLXdIZeF0OvHJJ5/AYDDg9evXePXqVXGqFJ2PQqGAw+FAb28vJ3PVCGnSEcexV0Y6nUY6nZY7jIYkvWY5nr02KJVK9PX1ob29ncvsLkgURbx9+xbffPMNNBoN7t27h76+PrnDKouOjg42ciZqMNziEzWweprGdR5WqxWffvop2tvbsb6+jsePH/Pg7QKUSiW6urrYILiGSAfLFotF5kga0/LyMpaXl+UOoyGZzWYoFAomfGpIS0sLE/oXlM1m8fTpUywtLaGlpQWffvop7Ha73GGVFad3ETUWJnyIGpjf72/YZI9Eq9Xizp07GBoaQiAQwJdffskDjHMIBALcqatB0WgUer2eS7qo7qhUKphMJkSjUXA+SG3J5/Pw+/1yh1F34vE47t+/D6/Xi97eXty7dw8Gg0HusCqiNOmzs7MjdzhEdAGcvUfUwDo7O6HVahvu7NNBSqUSV69ehdVqxevXr/Hll1/i5s2b7ENzStFoFBsbG4jFYhgcHJQ7HPqxTCaDbDYLh8MhdyhE52K1WhGPx5FKpRr2wLgeeTwe7OzsQK1WN/z+Qbn4/X58/fXXyGazmJycxOjoaN336zmJ0+mETqdDS0uL3KEQ0QVwLDtRgxEEAX6/H52dnXKHIovd3V08ffoUmUwGExMTGB8fb/idsosQRRFzc3NIpVKYnp5mJUmNEQQBgiBAreb5mUrgWPbKyufzUCgU7BlTY3K5HGZmZqBSqTA1NcW/zzFEUcT6+jrevHkDlUqFW7duNe3+lc/nQ2trKz+PiOoMt/BEDUTq2eN2uxEKheQORxZtbW349NNPYbVaMT8/j2fPnnGp0jECgQCSySScTieTPTVIqVRy55rqlkqlYjKhBqnVanR3dyOTyXC5zjEEQcDr16/x+vVrGI1GfPLJJ02b7IlGo3C5XOzpQ1SH+ClM1CAONmhu5jJto9GIb3/72+jq6sL29jYePHiAZDIpd1g1J5fLYXt7GxqNBk6nU+5wqIQoitje3kYikZA7FKILSaVS8Hg8yOfzcodCJRwOB/R6PbxeLzKZjNzh1Jx0Oo1Hjx5hfX0dDocDn3zySVM3z7dYLGzkTFSnmPAhagCNPo3rPNRqNT788ENcunQJ4XAYX3zxBYLBoNxh1RSpUXNvby/PwteYeDwOj8eDcDgsdygNbWpqisu5KiwajWJ7exvRaFTuUKiEQqFAX18fBEGAz+eTO5yaIu0z7O7uYnh4GB999BErYMHpXUT1inv4RA1gbW2NyZ5DKBQKTExM4MMPP0Qul8ODBw+wtrbGiTE/1tnZiZGREbS2tsodCh0gHRw38xllagzSa5jTE2uP1WrFyMgIenp65A6lZrjdbty/fx+pVAoffPABrly5whMiJUqTPisrK3KHQ0SnwMYARA2gu7sbBoMB3d3dcodSk7q7u2EymfD06VO8fv0afr8f169fh0ajkTs0WSkUCk7fqFGRSKQ41poqR0pCWK1WmSNpXHq9HlqtlhU+NYqfAQW5XA5v3rzB5uYmdDodPvzwQ7S1tckdVk1yOp1QKBT8fCKqE0xZE9UpQRCKfWmY7DmZzWbDZ599hu7ubng8Hnz++edN29g6HA5jeXmZfRtqVD6fRzweh8Vi4YS5CnO5XHC5XHKH0fCsVitSqRS3OTUql8thbW0Nu7u7cocii0gkgi+//BKbm5vo6OjAd77zHSZ7TtDZ2Qmz2Qyg0O+Iy7uIahcTPkR1SOrZs7CwwB3oM9BoNLh16xauXbuGVCqF+/fvY3l5uamWeImiCJfLhWg0ymRCjYrFYhBFkcu5qGFIr2VW+dQmhUKBSCSCra2tpmquLYoiNjY28OWXXyIWi2FychIfffQRdDqd3KHVjVwuh4WFBfb0IaphTPgQ1ZnSBs3t7e1sJHhGCoUCg4OD+OSTT2AymTA7O4snT54gnU7LHVpV+Hw+pNNpdHV1Nf2Stlql0WjQ3t4Om80mdyhEZWG1WtHW1sYD6RqlUqnQ09ODbDYLr9crdzhVkc1m8fz5c7x8+RJarRb37t3D2NgYT4SckVqtRkdHBxs5E9UwhdhMp7aJ6hyncZVXLpfD69ev4XK5oNfrcevWrYYu485ms5idnYVarcbk5CQbUVLTm52dBQBO6qKmJ4oi5ufnkUwmMTU11dDJub29PTx79gzxeBxOpxPXr1/nybML8nq92NragsFgwPj4ONRqtoklqhXc2yeqE0z2lJ9arcaNGzdw/fp1ZLNZPHjwAAsLCw27xGt7exv5fJ5j2GtYo772iCR8jdcmaUy7KIpwu91yh1MRoihidXUV9+/fRzKZxJUrV/Ctb32LyZ4yODiyvZmWBhLVOqZfieqEUqmEwWCAyWRisqfM+vv7Ybfb8ezZM8zPz2N3dxc3btyAXq+XO7SyEUURuVwOFouFU1lqWDAYxNbWFoaHh4sNMalyGrmKodakUiksLS2ho6MDnZ2dcodDhzCbzbDb7cjlchAEoaFODGQyGbx8+RIejwcmkwm3bt3iZ2GZOZ1OAEAikWio1w5RveOSLqIaJwgCFAoF15VXQT6fx8zMDNbX16HT6XDjxg10dHTIHVZZNdpOfKNZW1tDMBjE1atX2WOJGoogCHj58iUsFgvGxsbkDoeO0IifEcFgEM+ePUMymURPTw+uXbvG7WuV5PN5qFQqucMgamqNtUUnajDSMq6NjQ25Q2kKKpUK165dw61bt5DP5/H48WPMzc1BEAS5Q7uQ0obUjbYj32ii0SgMBgMPRqjhKJVKmM1mxGKxut+mNrLSz4h6H2YgiiKWl5fx4MEDpNNpXLt2DTdv3uT2tUrcbjcWFhbYyJlIZtzzJ6pRpT172Pyuunp6evDZZ5/BZrNhcXERDx8+RDKZlDuscxEEAYuLi1haWpI7FDpBMplENpuF1WqVO5Sm4ff74ff75Q6jaVitVgiCgHg8LncodIK1tTXMzc3V7cF6Op3GV199hdnZWZhMJnz66acYHBxktXQVqdVqTu8iqgFM+BDVIDZolp/JZMK3v/1tDA8PIxgM4u/+7u/qclztzs4OMpkMR3zXgUgkAgBM+FSRz+eDz+eTO4ymIb22pdc61S6bzYZ8Pg+PxyN3KGcWCATw+eefw+fzob+/H59++im3qzI42MiZSR8ieTDhQ1RjmOypHSqVqjjFAwCePHmCmZmZupk+kclk4PV6odfr4XA45A6HThCLxaBQKNismRqWwWCASqVCLBaTOxQ6QWtrK0wmE/x+f91UuAqCgIWFBTx8+BDZbLY4hZNV0vJh0odIftwCEtWYTCaDVCrFZE8N6erqgs1mwzfffIOVlRX4fD5cv34ddrtd7tCOtbW1BUEQ0NfXxzL2OjA8PIxUKsU+S9SwFAoFJiYmOB2tTvT19WF+fh5ut7vmG21HIhG8ePECe3t7sFqtuHXrFiwWi9xhEd5N7/J6vUin00zAEVUZp3QR1aBsNsumgjVIEAQsLy9jfn4eoihibGwMly5dqskJFLFYDAsLC7DZbBgdHZU7HKKaNDs7CwCYmpqSORKi2rS+vo7d3V2MjIzU5Bhz6XN5YWEBgiBgdHQUExMTNfm53Oy4b0skD6ZYiWqAIAhYXV1FV1cXTCYTPxBrlFKpxPj4OJxOJ54/f46lpSV4vd6arPaRlnE12lj5RhUOhwEUepywGosaXSQSgSAINZlAoP16enqgUChgMpnkDuU9pVU9ZrMZ169fR2trq9xh0RGkfdtUKgWXy4WhoSFW+xBVASt8iGRW2rOnq6sL3d3dcodEpyD93RYWFgAAo6OjNVvtQ7Vvfn4eqVQK165dY8KnilwuF4DC0hWqnpmZGQDA9PS0zJFQPRIEASsrK5ifn2dVTx3y+XxwuVwwGAwYHx9n0oeowpjwIZIRGzTXv3A4jBcvXiAcDsNiseDGjRuynrXO5/Pw+/3o6OhgL5g6kc/n8fLlS9jtdgwPD8sdDlHFbW5uwu/3Y3p6mv186oQoivD7/bDb7bJWIUejUTx//pxVPXXO6/Via2uLSR+iKuDRAJFMmOxpDDabDZ988gkmJiYQi8Xw5ZdfYm5uTrZJXtJOVCgUkuXx6eyi0SgAsMEoNQ3ptc7x7PUjEonA5XJhe3tblscXRRFLS0v4/PPPsbe3h9HRUXz22WdM9tQpTu8iqh6mU4lkEggEmOxpEEqlEpcuXYLT6cSLFy+wuLgIj8dT9WqfdDqNnZ0dGI1G7gTXEemg12q1yhxJ8+GSLnlICZ9oNAqHwyFzNHQaNpsNVqsVgUAADocDRqOxao8djUbx4sULhEIhmEwm3Lhxg59xDUCa3rW1tQWfz8eWBkQVwoQPkUw6Ojqg1WrZtLKBSNU+Um+fL7/8sjjJqxrLq9xuN0RR5Bj2OhOJRKDVarm0RQasMJGHWq2GyWRCJBKBKIrcXtWJ3t5evH37Fi6XC5cuXar444miWJyMKQgCRkZGcPnyZfbqaSBOpxN6vR42m03uUIgaFhM+RFUkCAJ8Ph86OzuhUCiY7GlAh1X7SJO8Kvn3jkQi2Nvbg91uh9lsrtjjUHmJogibzcb+BdR0WltbkUqlIAgCD+DrhMFggMPhgN/vRzAYrGiVDat6mkfpvtHOzg7a2tr4mUhURmzaTFQlpT17hoaGuOPSBARBwOLiIhYXFwGgotU+y8vLiEajmJqaglarLfv9EzWi2dlZAMDU1JTMkRDVh1wuh5mZGej1ekxMTJT9/kVRxMrKCubm5ljV02QikQiWlpbYyJmozJjwIaoCNmhubuFwGM+fP0ckEoHVaq1ItY8gCEgkEqzuIToDJnyIzi4ej0Ov15c9CXOwquf69etoa2sr62NQbeP0LqLyY8KHqMKY7CHg/WqfkZERXLp0iTszTW5mZgZ2ux09PT1yh9KUmPCRl9frhc/nw/T0dFX6nFFtyufzWF5exuLiYrGqZ2Jigp+PTYpJH6Ly4juIqMLW19eZ7CEolUpMTEzA6XTi5cuXWF5ehtvtxvT0NLq7u8/dtNTlckEQBPT19fGAqc4kEgmk02m5w2hqHR0dcofQ1BQKBbLZLGKxGKfU1RlRFLG1tYVsNouhoaFz38/Ozg7evHmDeDwOs9mMDz74gFU9Ta50etfKykpVGoQTNTImfIgqrK+vDwaDAV1dXXKHQjWgpaUFn376KdbW1jA3N4dnz57B4XDgypUrxVHFp5VMJuH3+2EymZjsqUMcxy4/jgSXl/Tal5a7Uv1QKBRIp9PY29uDw+E483LiRCKBN2/ewOv1QqVSYXJyEiMjI/wsIwCFpA+HmxCVB5d0ERHJJJ1O4+3bt9jc3IRCoTjzMq/FxUVEo1FcvnwZRqOxwtFSuS0uLiIej+PatWs8yKGm9erVK2g0GkxOTsodCp1ROp3G7OwsDAYDJiYmTlWpKi3fWlpaQj6fR3d3N6anp2EwGKoQMRFR82GFDxGRTHQ6Ha5fv46BgQG8fv36TMu89vb2EI1G0dbWxmRPHRIEAbFYDBaLhckeGS0vLwMARkdHZY6keVmtVgSDQeRyOfbqqDM6nQ6dnZ3wer3Y3d1Fe3v7sdc/uHzrypUrXFZJRFRh/GQlIpJZa2srPv30U6yvrxeXebW3t+Pq1auHLvMSRRFutxtKpZLNfutUPB6HKIpnXsZH5cUeSvKTEj7RaBR2u13ucOiMnE4ndnd3sbW1BbvdfujkLi7fIiKSD5d0ERHVkNMs88pkMlhdXUVLS0uxuSHVn2QyCbVaDY1GI3coTYtTuuSXy+WQyWRYqVjHAoEAfD4fhoeHodfri98/OH2Ly7eIiKqPCR8iohoUDAbx+vVrhMNh6PX6Q5d5iaJ47uleRMSED1G5HPw8Orh86+rVq2ySTkQkAyZ8iIhqlCiKxWVe2WwW7e3tGB8f505zncvlcsWpROxZIi8mfGpDPp9HNBqF0WiEVquVOxy6gGAwiKWlpeLyrUuXLnH5FhGRjLinSURUoxQKBYaGhtDd3V1c5hUIBOB0OnHjxg0uBapT0WgUa2trGBgYOLHJKVEziEajWFlZQV9fH5v41ql8Po9Xr17B5XIBAHp6ejA1NcXlW0REMmPCh4ioxknTvBQKBba3t+H1evG3f/u3p5rmRbUnEokAKDSrJXn19fXJHQIBsFgsUCgUiEajTPjUIa/Xi5mZGcTjcajVanR0dODmzZv8bCIiqgFM+BAR1YFgMIh8Po/p6Wnk8/niNC+73Y7JyUlWitSRSCQCnU7HpSs1gEm32qBSqWA0GhGNRtmbrI6EQiG8ffsWgUAAKpWqWNHj9Xrh9/uZvCMiqgFM+BAR1ThBELC1tQW1Wo3u7u7ivwsLC1hfX8fDhw/R0dGByclJ2Gw2ucOlY6TTaWQyGfZhIjrAarUiHo8jkUjAZDLJHQ4dIxaLYW5uDtvb2wAKlXKXL1+GwWCAIAgIBoPY3t5Ga2sr+5QREcmMW2Eiohrn9XqRyWTQ19dX3HnW6XS4evUqRkZGMDc3h62tLfh8PvT29mJiYoIHTDWKy7lqC5s21w6r1QqPx4NIJMLtV41KJpNYWFjA5uYmRFGE0+nE5cuX923PlEolenp6sLa2hu3tbfT398sYMRERMeFDRFTj2trakM/nD60KMZlMuHXrFkZHRzE3Nwe3242trS0MDg7i0qVL0Ol0MkRMR1GpVDCbzbBYLHKHQlRTTCYTzGYzm9HXoGw2i6WlJayuriKfz6O1tRWTk5Noa2s79Pqtra1IJBJH/pyIiKqHY9mJiBqI3+/H27dvsbe3B5VKhdHRUYyMjPAgiugQrPAhOlo+n8fq6iqWlpaQzWZhsVgwOTmJzs5O9lkiIqoTTPgQEdWoWCyGVCqFtra2M+1ci6IIj8eDubk5xGIxaLVajI+PY3BwECqVqoIRE9UXJnyI3icIAlwuF+bn55FKpWAwGHD58mX09vaeOdETDAahVqu5jJWISCZc0kVEVINEUYTL5UIymYTFYjnT0iyFQoHu7m44nU5sbm5iYWEBMzMzWF1dxcTExLl22unidnZ2EA6HMTQ0xIorokPk83msra3BYDCgp6dH7nCazmEnC6anp899siCXy2FzcxNqtRqTk5NQKpUViJqIiI7DhA8RUQ3a3d1FIpGA0+k8dx8epVKJwcFB9Pb2Ym1tDUtLS3j+/DmWl5dx+fJlluVX2d7eHhKJBKfWEB1BpVIhkUggnU4z4VNlB5cDX7p06cLLgdVqNbq6uuB2u+Hz+eB0OssYMRERnQb3OomIakw+n8fW1hY0Gk1ZdpDVajXGxsYwMDBQbLz55MkTtLW1YXJyEq2trWWImo4jCALi8TisViuTbDVkdHRU7hDoAKvVit3dXWSzWVbCVUE4HMbbt2/h8/mgUCgwNDSE8fFx6PX6stx/R0cH/H4/PB4P2tra+DclIqoy9vAhIqoxbrcbOzs7GBwcrMiUk9OM1qXyCofDWF5eRm9vLzo7O+UOh6hmBYNBrK2tVWz7RwWxWAzz8/PY2toCAPT29mJiYgImk6nsjyVt/9ra2jA4OFj2+ycioqOxwoeIqIYIgoBgMAij0Vixgx2DwYAPPvgAIyMjmJubg8fjgdfrhdPpxNjYGCt+KiAajQIAk2o1Jp1OA8C5l01S+VksFgCF9wwTPuUXDoexuLiI7e1tAIUKnMnJSdhstoo9ps1mg9Vqxd7eHnK5HJe1EhFVESt8iIhqTC6XQy6XK1tJ/UlCoRCWlpbg8XgAAG1tbRgfH4fD4eDyozJ5+/Ytcrkcrl69KncoVIJTumoT3y/lt7u7i8XFRfh8PgCFRM/Y2Bja29ur8viZTAYKhYJLuoiIqowJHyKiGiGKoqwJlkgkguXlZbjdboiiCJvNhvHxcXR1dTHxc0GZTAbpdLpYvUC1gQmf2hSLxaDRaFh5dUGiKGJnZwdLS0sIBoMAgO7uboyNjaGlpUXWuPiZQkRUHUz4EBHVAFEUMT8/D7vdLvskk0QigeXlZWxsbEAQBJhMJoyNjaGvr49jdamhMOFDjUgQBGxvb2NpaQmRSAQKhQJ9fX0YGxuD2WyWNTa/3w+fz4fLly/z84SIqAq4iJaIqAb4/X4kEglZz7pKjEYjrl69ikuXLmFlZQVra2t4+fIl5ufnMTo6ioGBAfZgOINoNAqdTgetVit3KER1I5vNIplMsu/VGeTzebhcLiwvLyMej0OlUmFkZAQjIyMwGAxyh1eUSqXg9XrR3d0tdyhERA2PFT5ERDLL5XKYmZmBSqXC1NRUzZ31zGazWF9fx8rKCtLpNLRaLYaHhzE0NMQkxim8fv26+Lel2sIKn9q1sLCARCKBDz74gMt/TpDNZrGxsYHl5WWk02loNJriNrrWlsWJooi5uTmkUilMT0/zM4SIqMJ4ipaISGbb29vI5/MYGBiouWQPAGg0GoyNjWF4eBibm5tYXl7G/Pw8lpaWMDQ0hJGRkao1mK43qVQK2WwWdrtd7lCI6orVakUsFkM8Hpd9GVKtSqfTWF1dxdraGrLZLPR6PaampjA4OFizVZjS8rLFxUW43W4MDw/LHRIRUUOrzU8DIqImkUwm4ff7YTabaz4poFKpMDQ0hIGBAWxtbWFpaQnLy8tYXV0t9ocwmUxyh1lTIpEIAI5jr1Ws7KldVqsV29vbiEQiTPgckEwmi33W8vk8TCYTJicn0dfXB5VKJXd4J7JYLGhpaUEoFEI0GmUzeyKiCmLCh4hIRvl8HjqdDn19fXKHcmpKpRJ9fX3o7e3Fzs4OFhcXsbGxgY2NDfT09GB0dLQmehHVAqlhKg9Yic7GaDRCpVIhEomw18uPRSIRrKyswOVyQRRFWK1WjI+Po7u7u+6WvfX29iKZTEIQBLlDISJqaOzhQ0Qks3ofUSuKInZ3d7G0tASfzwcAsNvtGB4eRnd3d00uU6sGURTx8uVLGI1GXLp0Se5w6BCswKptKysr2NvbwwcffFAXlSuVIAgCvF4v1tbWEAgEAABtbW0YGxtDR0dH3X921HP8RET1gAkfIiIZCIKAVCoFo9Eodyhltbe3h7W1NbjdbgiCAJ1Oh8HBQQwMDNTUlJhqkJpdWywWOJ1OucOhQ7Bpc20LBAIIBoPo7+9vuj5h6XQaGxsbWF9fRzKZhEKhQHd3N4aHh9Ha2ip3eGWVSqWg0WiaNqlHRFRJTPgQEcnA6/Via2sLY2NjDVldkMlksLGxgbW1tX0HK0NDQ2htbeVZXaoJTPhQrdnb28Pq6iq2trb2Jc0HBwcbMukVj8exsLCAjo4O9Pb2yh0OEVHDYQ8fIqIqy2az8Hg80Ol0DdusUqvVYmxsDKOjo/B6vcUDmK2tLdhsNgwNDaGnp6dmJ8kQEVVLPp+Hx+PB6uoqQqEQAKC1tRVDQ0MNvyzWZDLBaDTC5/Ohvb29IZNaRERyYoUPEVGVra+vY3d3F6Ojo7DZbHKHUzWRSARra2twuVzI5/NQq9Xo6+vD4OBgw1U55fN5LC0toaOjo+GWXzQSVvjUvnA4DK/Xi6GhIWi1WrnDKatYLIaNjQ1sbm4ik8lAqVSit7cXQ0NDTdX4Ph6PY35+HjabDaOjo3KHQ0TUUHhqlYioiuLxOHZ3d2G1Wpsq2QMUGuNeu3YNk5OTcLlcWF9fx9raGtbW1tDa2orBwUF0d3c3RB+HaDSKeDyOXC4ndyhEdS2fzyMWiyESiaC9vV3ucC5MasK8vr4Ov98PoFDlMjo6iv7+fuh0OpkjrD6TyYTW1lYEg0GEw+Gm+2wkIqokJnyIiKrI7XZDoVDU1Rj2ctNoNBgeHsbQ0BCCwSDW19exvb2N58+fY2Zmplj1U8+jzKPRKABOf6p1zXhwXW+k91A0Gq3rhE8ikcDGxgY2NjaQTqeLfc0GBwfR3t7e9H3Nenp6sLe3B7fbDavV2vTPBxFRuXBJFxFRFcXjcSQSCTgcDrlDqSmZTAabm5tYX19HPB4HALS3t2NgYABOp7Puev3Mzs5CEARcuXJF7lCI6t7c3BwymQyuXbsmdyhnks/n4fP5sLGxgZ2dHQCAwWDA4OBgU04eO8nu7i60Wm3D9rYjIpIDEz5ERFQzRFFEIBDAxsYGtre3IYoi1Go1urq60NvbC4fDUfNnfjOZDN68eYO2tjYMDg7KHQ5R3XO73djZ2cHly5dhNBrlDudYoigiGAzC7XZja2sL2WwWAOB0OjE4OIiOjo6a34YREVHjqK9TpkREdcrn80Gn07E3wQkUCgUcDgccDgfS6TTcbjfcbjdcLhdcLhd0Oh16e3vR29sLm81WkwdOXM5VP6QeKqy4q21WqxU7OzuIRqM1m/CJRCLF7VUymQRQiHtsbAy9vb0wGAwyR1g/pB5oTqdT7lCIiOoeK3yIiCosnU5jdnYWer0ely9frskkRa2LRqPFg6lEIgEAMJvN6OvrQ29vb00dBOZyOUSjUVgslrpbitZsOKWrPgiCgL29PVgsFmg0GrnDKUomk9ja2oLb7UY4HAYA6PX6fUlpOrvFxUVEo9G6qOgiIqp1TPgQEVXY6uoqQqEQxsfH2ZvggkRRRCgUKi6XyGQyAIDW1lb09fWhu7u74UY3U+Uw4UNnlc1m4fF44HK5EAgEAABqtRrd3d3o6+tDW1sbk/oXlEgkMDc3B4vFgvHxcbnDISKqazz1SERUQdFoFKFQCC0tLUz2lIFCoUBraytaW1sxPT0Nn88Ht9sNr9eLYDCI169fo7OzE319fejs7Kz6iPdsNotcLsflG0QVkEqloFQqq57UFQQBPp8PLpcLXq8XgiBAqVQWe4vJsa1pZEajEe3t7QgEAgiFQrDb7XKHRERUt5jwISKqEFEU4XK5oFAo0NvbK3c4DUepVMLpdMLpdBbPukvJH6/XWzzr3tvbW7Wxx1Kz1rGxMfbwISojqerD6XSip6en4o93VPPltrY29Pb2spqwwnp6eorVnDabDUqlUu6QiIjqEhM+REQVkkwmkUql0NnZCZ1OJ3c4DU2j0aC/vx/9/f1IpVLY2tqCy+XC5uYmNjc3i301uru70dLSUrHkTyQSgUKhgNlsrsj9EzUro9EItVqNSCRSsYSPKIqIRCLY3t7e1y/MYrFgdHS05vqFNTJpOuPW1hZisRgT6ERE58QePkREFZTJZKBSqVjuL5PDmj3rdLpiZVB7e3vZGiuLooiXL1/CZDKx70SdcLlcAIC+vj6ZI6HTkPqhXbt2rWzv23w+j93d3WJloDRhq7T5stVqZV8eGYiiiHQ6Db1eL3coRER1iwkfIqIKEEWRBwg1RGr27PF44PV6EYvFAAAqlQoOhwNOpxOdnZ0XOrCIRqNYXFxET08PxwkTVUAgEMDGxgaGh4cv1NclnU5jZ2en+JXP5wEUqoicTie6urrYfLnG8DOViOh8uKSLiKjMUqkUFhcX0d/fj5aWFrnDIexv9jw1NYVYLIadnR14vd7ivwDQ0tJSPOCzWCxnOsCIRCIAwObcRBUiLeuJRCJnTvhEo9Hi+313d7f4/dbW1mLC96zveaqOaDSKtbU1jIyMwGQyyR0OEVFdYcKHiKjM3G43stksNBqN3KHQEcxmM8xmM0ZGRpDJZODz+YoHg/Pz85ifn4fBYNi39Os0TUN1Oh17fNQRLumqL1qtFkaj8VRJGUEQEAwGi0u14vE4gEJVX1dXVzHJw/5qtU+j0SCXy8HlcmFiYkLucIiI6gqXdBERlVE4HMby8jJaW1sxNDQkdzh0RoIg7OvnIfX9UavV6OjoKB4kcjpPY5idnQUATE1NyRwJlUM2m92XvJUma+n1+n3JW/ZUqz8ulws+nw+Dg4Noa2uTOxwiorrBCh8iojIRRRFutxtKpZJj2OuUUqmEw+GAw+HA9PR0cRmI1+vF9vY2tre3i8vDnE4nOjo6uAyESCaiKCIWi8Hv98Pr9SIQCEA6j2mz2YpJHpvNxvdonevu7kYwGMTW1hZaWlqYtCMiOiVW+BARlcnOzg7cbje6u7vR1dUldzhUZqlUqtjvx+/3Fxu9arVamEwmmEwmjI6OcqJPHWGFT32REjwrKyuIRqOIx+NIp9MACsna9vb2YpLHYDDIHC2Vm9/vx+bmJpxOJ3p6euQOh4ioLrDCh4ioTNRqNYxGIzo7O+UOhSpAr9djYGAAAwMDyOfzCAQCxa9QKIRQKAS32w2tVou2tja0t7ejvb2dFUBE5yQleHZ3d4vvNSnBAxSaOPf09KC9vR0Oh6Nso9qpNrW3tyMYDLI/HhHRGbDCh4iI6ALS6TRev34NnU4HlUqFQCCAvb294s+ZAKpdrPCpLaIoIh6P70umHkzwtLe3Q6FQIJFIYGpqilObiIiIjsFTIUREF5RKpaBQKDjtpUlFo1EolUr09fUVR0Vns9l9VQkejwcejwdAIQHU3t5eTAIxASSfjo4OuUNoaqdJ8PT09BTfK1Kz9Gg0isXFRUQiESZ8mlQ2m0Uul+PSPSKiEzDhQ0R0QRsbG0gkErhy5QqXFDShSCQCALBYLMXvaTSaYi8R4P0EkNQAGtifAGpra4PFYjnVCHi6OIfDIXcITUUQBMRiMQSDwTMleA4ym81QKpWIRqPsl9aEBEHA27dvodFocPnyZSbMiYiOwSMTIqILCIVCiMVi7B/RpERRRDQahdFoPPbvf5YEkFKphNVqRUtLC2w2G1paWmC1WpkEoroiCAKi0Sj29vYQDoext7eHSCRSbHYOFBI83d3dxYTnaaskFQoFzGYzotEoBEHge6PJSNMUPR4PAoEAE7dERMdgDx8ionMSBAGzs7PI5/OYnp5mwqcJiaJYrPCx2Wznvh8pARQKhYoHyKWVD0qlEhaLBS0tLcUvi8XC0cQXtLy8DAAYHR2VOZL6VprckV6/4XAYgiAUr6PRaIpJTLvdfqYEz2Gi0Sjy+TxHrjcpQRAwMzMDURQxNTXFz18ioiMw4UNEdE4ejwfb29vo6+tjLxAqK1EUkUql9h1A7+3t7UsCKRSKYiWQdCBttVqZBDoDNm0+O0EQEIlEiq9JqXKnNLmj1WqL1WnSl8FgYGKGyioYDGJtbQ0dHR3o6+uTOxwioprEdDgR0Tnkcjl4vV7o9XqWkzexVCoFnU5X9gNZhUIBg8EAg8FQ7FFSmgQqPdje2NjAxsZG8XZWq7V4sG2z2WCxWDjGmM4lm80iFosVK3aOSu60t7fvS/BUK7kjvSfYuLc5tba2wufzwe/3o6Ojg4MTiIgOwQofIqJzCofDxaU21HwEQcDLly9hs9kwMjIiWxzJZHJfAuhgJRAA6HQ6mEwmmM1mmM3m4mWTydTUFUGs8Cm8juPxOGKxWPFf6evg60ir1e6rKJO7cmdjYwOBQABXr15lUrNJJRIJpNPp4oREIiLajxU+RETndJGeLVT/YrEYRFGE2WyWNQ6pEkhqCA1gXyVQ6UF8MBh87/ZGo3FfMkhKBBmNRi7BaRCiKCKZTL6X1InH44jH4+9dX61Ww2w2w+FwwGw2F5cO6vX6mnpNmM1mBAIBRKNRtLa2yh0OycBoNMJoNModBhFRzWLCh4jojDY2NtDe3g6TySR3KCSjw8ax1wq9Xr9vKpgkk8nsO9gvTQT5/f5911UqlTCZTO8lg4xGI3Q6HScj1RhBEJBOp4uJnYN/59JlWMC7v29XV9e+qi+z2QytVltTiZ2jSO+9SCTChE+TSyaT2NnZwcDAQF28domIqoUJHyKiM5BGaatUKiZ8mlwkEoFara6rs8tarRatra3vHRxLvVAOSwbt7OzA6/Ueel96vR56vR46na54+eD3annJWD00ehUEAalUqviVTqcP/f/B5VcSo9GI9vb295I6jdBEWXoNSslXal7hcBi7u7swGAzo7OyUOxwioprBhA8R0Snl83lsbW1BrVYXG+lSc8rlckgmkw1TVVDaJPpgE3JBEJBIJIoJoGQyuS/RsLu7i3w+f+R9azSaI5NC0vc1Gg3UajWUSmVVkxBWq7Vqj1VKEATkcjlks9nic5lMJg9N5mQymSPvR6lUQq/Xw2QyFcecGwyGfdVYtZxwKwer1Qqfz4dUKgW9Xi93OCSTjo4OBAIBeDwetLa2sqcTEdGPMeFDRHRKXq8X2WwWAwMDDX8QRcdLp9PQaDQ1uZyr3JRKZTGBcBhRFJHL5U6sQNnb20Mulzv2sRQKBdRq9b4vlUr13vcO+zp4PYVCUfyS7lv69+D3pPkVoijuu1z6Pen3zOfzyOVyx36ddJ2T5mWoVCro9XpYLJZjq6ik37OZWa1WBINBZDIZJnyamFKpRG9vL1ZWVrC9vY2BgQG5QyIiqgmc0kVEdArpdBqzs7PQ6/W4fPly0x9kUYEoinwtnIGUGDqYFDopgXJSoqhWnSZRdTCRI1U80enwPUilFhcXEY1Gcfny5bpabktEVCms8CEiOoVIJAJRFNHX18eDCyria+FspOlPZ51sJopicRnUaatrDlbrHFa5Ew6HARQm7p1UCaRQKE5VbSRdR6VS8fVRBXyOqVRfXx/m5uYQiUSY8CEiAit8iIhOLZ1OQ6fTyR0GySydTsPr9cLhcPCAos7Nzs4CAKampmSOhC4imUzC7/ejvb2d70niZzURUQnOVCUiOoZUWQCAO5AEoFDtFQgEjm2mS0TVk8/n4ff7ixVb1Nykz+rSyj4iombFhA8R0TECgQDevn2LZDIpdyhUIyKRCBQKRVM0bCaqByaTCSqViuPZqSiTyeDt27fwer1yh0JEJCsmfIiIjpDL5bC9vQ1BEFjdQwAKZ4yj0WhTjLsmqhcKhQJmsxnxeBz5fF7ucKgGSI3PvV4vqzGJqKkx4UNEdASPx4NcLofe3l4oldxcEpBIJJDP52G1WuUOhcpgdHQUo6OjcodBZWC1WiGKImKxmNyhUA1QKBTo6+uDIAjY2tqSOxwiItnwCIaI6BCpVAp+vx8mkwmtra1yh0M1QloywoRPY9DpdKzeaxDSe5LLukhitVphs9kQDAaZCCSipsWEDxHRIVwuV3EMO5GkpaUF3d3dMJlMcodCZZBOp5FOp+UOg8pAr9eju7ubCXrap7e3FwqFAi6XS+5QiIhkoZY7ACKiWiOKIsxmM3Q6HQ/saR+DwQCDwSB3GFQmy8vLADiWvVF0dXXJHQLVGL1ej87OzuLETS7PJqJmw4QPEdEBCoWCBw70nlwuB6VSyQMGohomiiLy+TzUau7iUkFPT4/cIRARyYZ7rUREJSKRCHK5nNxhUA3yeDx4+fIlJ74Q1ah8Po+XL19y+Q4dKp/PIxwOyx0GEVFVMeFDRPRj2WwWq6urWFpakjsUqkHRaBRqtRparVbuUIjoECqVCjqdDtFoVO5QqAatrq5iZWWFfbuIqKkw4UNE9GPb29vI5/NczkXvyWazSCaTnM5FVOOsVmvx/UpUqqurC6Iowu12yx0KEVHVMOFDRAQgkUggEAjAYrGgpaVF7nCoxkijni0Wi8yRENFxpPcox7PTQWazGXa7HXt7e3x9EFHTYMKHiAgo9nzgGHY6jLREhBU+jWVqaooTuhqMxWKBQqHgsi46VG9vL5RKJVwuF0RRlDscIqKKY8KHiJpeOBxGLBaDw+HgyG06VCaTgcFggEajkTsUIjqGUqmE2Wxmc3U6lFarRWdnJ1KpFILBoNzhEBFVnEJkepuICJFIBEajkaN86Uj5fB4qlUruMKiMpGUdrNxqLHyv0nEEQUAkEuHybSJqCkz4EBERUVOanZ0FAC7rIiIioobEJV1ERETH8Hq92N3dlTsMIjqDUCiE7e1tucMgIiKSFRM+RERERxBFER6PB4FAQO5QiOgMgsEgPB4P8vm83KEQERHJhgkfIiKiI8TjcQiCwB4vRHVGes9yWhcRETUzJnyIiIiOwKa+RPVJes9K72EiIqJmxHE0RERER4hEIlCpVDAajXKHQhWg0+nkDoEqRKfTQavVMuFDRERNjQkfIiKiQ+TzeSQSCdhsNigUCrnDoQoYHR2VOwSqIKvVikAggEwmA61WK3c4REREVceEDxER0RF6enqg1+vlDoOIzqG1tRU6nY4JWyIialoKURRFuYMgIiIiqja/3w8AcDgcMkdCREREVH5s2kxERHQIjnNufD6fDz6fT+4wqML4XiYiombFhA8REdEBmUwGL1++hMfjkTsUIroAv9+PV69eIZFIyB0KERFR1THhQ0REdIA02YdTnIjqm06ngyiKnNZFRERNiQkfIiKiA6LRKIDClB8iql9msxlKpbL4niYiImomTPgQUdP5zd8Efu3XgEeP5I6EalUkEoHRaIRazWGWRPVMqVTCbDYjGo1CEAS5w6Emw/0NIpIb92SJSBaZDLC4CGxuFr42NoBgsPCzn/5p4Gd+5nT3E4kAf/d3wMwMEAgA2SxgsQBdXcD4OPC97wEqVeV+D2o8iUQCuVwObW1tcodCFcYKruZgsVgQiUQQi8X4N29C8Tjw6hUwP1/Y39jdBQQBMJuBgQHgzh3g+vXj7yOVAv76r4Hnzwu3VyiAzk7gww+B73wH4LkBIqpV3DwRkSzW14Hf//2L3cezZ8Af/VFhRwwANJpCcicYLHzNzgKffAIYjRcOl5pIMpkEwGRAM+jr65M7BKoCq9WKra0tJJNJvq+b0D/+x4UEj0TaV9jbK3y9egVMTxcqcbTa92+/uwv87u8W/gUK18nnCyeqNjaAJ0+A3/gN7msQUW1iwoeIZGM0Av39777+7M8KFTun8c03wL/4F4AoAt/+NvATP1Go6gEKCSCXC3j5ktU9dHZtbW2w2WxQ8cVD1BCMRiOuXr0KjUYjdygkA0EABgeBu3eBqSmgvb3w/d1d4Ic/BB4+LFQJ/8t/CfzDf/j+bf/ZPytc12YD/rP/DLh8ubDv8c03hZNOLhfwf/6fwH/1X1X9VyMiOhETPkQki9FR4Pd+b//3/vzPT3fbcLiwYyaKwC/8AvDd7+7/uV4PjI0VvojOg717moPL5QLASp9mwGRP8/qN3wAuXXr/+21twD/4B4UTQ19+WajU+dmfBez2d9d5/BjY2ipc/i/+C2B4uHBZoQBu3Srsh/yLf1FIGM3PAxMTlf99iIjOgnu0RCQL5QVaxv/t3wKJBNDXV6jsuYhcrnB/T54APl8hroEB4Kd+qnAmkJpLIpFANBpFa2srDxCbAEd1N49cLodgMAij0Qiz2Sx3OFRFhyV7Sn38cSHhAxSWmx9M+Ej3ISV7St26Bfzbf1voIfj48fEJH+5vEJEcOKWLiOrOV18V/v3oo8JZtvNKp4Hf+R3gBz8APJ7CfaVSwMJCob/Qw4fliZfqRygUgtvtRjablTsUIiojQRDgcrmwKzViIfqx0ty+KL67nMkAy8uFy9PTh99WoXiXrHn79ujH4P4GEcmFFT5EVFcCgUKTRaDQ92drC/jLvyzsNCUShakbo6PAv/fvASMjx9/XX/xFofnir/96YWdOpQJ2doA//ENgdRX40z8FbtwADIZK/1ZUKyKRCNRqNQz8oxM1FK1WC51Ox6oues/i4rvLPT3vLns87xJA3d1H3176WSRSmAhmMr1/He5vEJFcWOFDRHVlZ+fd5ZUV4Ld/G/j6ayCZLIxF3dsrTO/6X/6XQjPG42QywH/73wLXrr1r7tzZWdgh02gKZ+Rev67Yr0I1JpfLIZFIwGKxQHGR0jEiqklWqxWZTAbpdFruUKhGJBKFk0ZAoe9fZ+e7n4XD7y63tBx9H6VLwEpvU4r7G0QkF1b4EFFdSSTeXf5//1+gtRX45V8urJtXKApn5P74jwtn7P7iLwpn3q5fP/y+bt4EnM73v2+xFNbqLyy8a9ZIjS8ajQLgOHaiRmW1WuH3+xGJROBwOOQOh2QmisAf/EEhSaPRAH//7+//eSr17vJh49oP+1npbUpxf4OI5MIKHyKqK6Xr64HC1IzLl9/18unqAv7RPwKkY/Z/9++Ovq+hoaN/Jp3Ni8fPHSrVGWmph8VikTkSqpaOjg50dHTIHQZVifTe5rIuAgrLqKSqml/6JaC3t3KPxf0NIpILEz5EVFf0+neXJyYKfXwO0umA73yncNntLqyrP4xOd/TjSFPE8vnzxUn1x2q1wuFwQHfcC4MaisPhYKVHE1GpVOjs7ITNZpM7FJLZ978P/N3fFS7/4i8WJnUdVLq/kckcfV+lPyu9TSnubxCRXLiki4jqSuk6+sPKoyVdXe8uB4PvKn6IjmK322EvbcZARA2nt5JlHFQXfvAD4K//unD5538e+ImfOPx6pXnBvb2jK4BCocNvQ0RUC1jhQ0R1pavr3dmw4xxc+kV0HJEvmKa0vLyMZWnuMjUVvueb0w9+APzoR4XLP/dzwPe+d/R1u7reLRff3j76etLPrNbDJ3QREcmJCR8iqisaTWGSBgB4vUdfz+Mp/KtQAG1tlY+L6tva2hrevn3Lg8Amk06nObGpCS0sLGBpaUnuMKjKvv/9/cmen/zJ46+v1QKjo4XLs7OHX0cU3/1scrI8cRIRlRMTPkRUd+7eLfw7Pw9sbr7/83Qa+PzzwuWhocIUDKKjiKKISCQCpVLJcexETUClUiEWi0EQBLlDoSr5/vf3L+M6KdkjuXOn8O/CArC29v7Pv/kGCAT2X5eIqJYw4UNEskkkgFjs3Ze0753J7P/+wRPwt28Dg4OFM2v/x/9RSPxIhRkeD/DP/lmhUbNCAfxH/1FVfyWqQ4lEAvl8ntO5iJqExWKBKIqIRqNyh0JVUNqz5xd+4fhlXAfduQP09Ozf3wAK///mG+CP/qjw/+npwiAJIqJaw6bNRCSb3/otYHf3/e//6Efvyq6Bwg7Xr/7qu/8rFMB/+V8C/+v/Wkjw/N7vFUqvVSogmSxcR6UqjFnlDhidRDros7KzN1FTkN7r0WiUE7saXDD4bn9CoQD+6q8KX0f53vf2V/8olYX9jd/93cL+irS/IYpANlu4Tl8f8J//55X7HYiILoIJHyKqS1Yr8D/9T4Wxqs+eATs7hZ2vtrZCkue73wW6u+WOkuqBtJzLbDbLHQoRVYHBYIBGo0EkEpE7FKqw0rZsolio/j3OYS292tqA//l/LlQJPX9eSPwolYV9jA8/BL7zHUDNIyoiqlEKkR0qiYioSYmiiFevXsFkMmFM6gZOTUM64Gd1V/NZW1tDKBTC1atXoebROhERNSgmfIiIqKkJgoBcLgetVit3KERUJZlMBiqVCiqVSu5QiIiIKoYJHyIiIiIiIiKiBsMpXURE1LT8fj8SiYTcYZBMZmdnMTs7K3cYJJNkMomdnR25wyAiIqoYJnyIiKgpZbNZbG5u8oCPqEkFAgG43W6kUim5QyEiIqoIJnyIiKgpcRw7UXOT3vuc1kVERI2KCR8iImpK0kGexWKRORIikoPZbIZCoWDCh4iIGhYTPkRE1JSi0Sj0ej2ncxE1KZVKBZPJhGg0Cs4wISKiRsSEDxERNZ1UKoVMJsPlXERNzmq1QhAExONxuUMhIiIqO7XcARAREcmhra0NNptN7jBIRqOjo3KHQDKz2WxIpVJQKnkOlIiIGo9CZA0rEREREREREVFD4ekMIiIiakrpdBrpdFruMIiIiIgqggkfIiJqKrFYDG/evMHe3p7coZDMlpeXsby8LHcYJLNoNIqZmRluE4iIqOEw4UNERE0lGo0ik8lArWYbOyICNBoN0uk0otGo3KEQERGVFRM+RETUVCKRSHEcMxGRXq+HVqtFJBKROxQiIqKyYsKHiIiaRj6fRzweh9lshkKhkDscIqoRFosFqVQKmUxG7lCIiIjKhgkfIiJqGrFYDKIowmq1yh0KEdUQaZvAZV1ERNRImPAhIqKmIR3MMeFDRKWY8CEiokakEEVRlDsIIiKiaslkMtBqtXKHQUQ1JpPJQKPRcLknERE1DCZ8iIiIiIiIiIgaDJd0ERERUVOKRCKczEREREQNiwkfIiIiakoulwsul0vuMIiIiIgqggkfIiIiIiIiIqIGw4QPEREREREREVGDYcKHiIiIiIiIiKjBMOFDRERERERERNRg1HIHQERERCQHnU4ndwhEREREFaMQRVGUOwgiIiIiIiIiIiofLukiIiIiIiIiImowTPgQERFRU/L7/fD7/XKHQURERFQR7OFDRERETcnn8wEAHA6HzJEQERERlR8rfIiIiIiIiIiIGgwTPkREREREREREDYYJHyIiIiIiIiKiBsOEDxERERERERFRg2HTZiIiImpKbW1tcodAREREVDEKURRFuYMgIiIiIiIiIqLy4ZIuIiIiIiIiIqIGw4QPEREREREREVGDYcKHiIiIiIiIiKjBMOFDRERERERERNRgmPAhIiIiIiIiImowTPgQERERERERETUYJnyIiIiIiIiIiBoMEz5ERERERERERA2GCR8iIiIiIiIiogbDhA8RERERERERUYNhwoeIiIiIiIiIqMEw4UNERERERERE1GCY8CEiIiIiIiIiajBM+BARERERERERNRgmfIiIiIiIiIiIGgwTPkREREREREREDYYJHyIiIqIT/OZvAr/2a8CjR3JHQkRERHQ6arkDICIiIjqNTAZYXAQ2NwtfGxtAMFj42U//NPAzP3PyfTx/Djx+XLhtLAaoVIDdDoyNAZ99BvT1VfRXICIiIqoaJnyIiIioLqyvA7//++e7bS4H/PN/Drx+/e57Oh2QzwM7O4Wvhw+Bn/954LvfLUu4RERERLJiwoeIiIjqhtEI9Pe/+/qzPwMikZNv95d/+S7Z89lnwH/wHwAtLYAoFqqF/uzPgOVl4PvfL1T7DAxU8rcgIiIiqjwmfIiIiKgujI4Cv/d7+7/3539+uts+flz4d3wc+KVfevd9haKQ3PlH/wj4J/8ESKcLy76Y8CEiIqJ6x4QPERER1QXlBUZNhMOFf49K5BgMQGdnodonnT7+vnI54G//FnjyBPD5CnENDAA/9VPA1NT5YyQiIiIqJyZ8iIiIqOE5HIDHU2jWfJhkstDHBzi+uiedBn7nd4C1tULDZ7UaSKWAhYVCQ+lf/mXg44/LHz8RERHRWTHhQ0RERA3v00+BP/mTQlLmX//r/T18XC7gT/+0kMwZHgZu3z76fv7iLwCtFvj1XwempwtJn50d4A//EFhdLdzPjRuFiiEiIiIiOTHhQ0RERA3vs8+AUAj40Y+Azz8vfElTunI5wGoF/v1/vzDe/bilY5lModeP0/nue52dhQTQP/2nhaTR69fHJ42IiIiIquECq+GJiIiI6oNCAfzszwK/8iuFRA9QSM7kcoXLuVxhWddJ/Xtu3tyf7JFYLIXqIADY2ipf3ERERETnxQofIiIianixGPDP/3lhSdfly8DP/AzQ3Q1ks8DKCvBv/g3wxRfA7Czw3/13heVehxkaOvoxpNvE4+W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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib as mpl\n", + "from ossssim import plotter\n", + "# This installation has no fonts, if working on a local device you might set your font here.\n", + "mpl.rcParams['font.family'] = []\n", + "mpl.rcParams['font.serif'] = []\n", + "\n", + "plot = plotter.RosePlot(epoch=model_save_file.epoch)\n", + "plot.add_model(model_save_file, ms=1, mc='k', alpha=0.2)\n", + "plot.add_model(detect_save_file, ms=5, mc='g')\n", + "plot.add_planets()\n", + "plot.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "965789d4-93e8-4a43-8d62-3a631e59067d", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/python_examples/hotPopulation.ipynb b/python_examples/hotPopulation.ipynb new file mode 100644 index 0000000..203dd8d --- /dev/null +++ b/python_examples/hotPopulation.ipynb @@ -0,0 +1,589 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "a166da12-a038-4f86-b109-2327559670ab", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "Import the packages needed to simulation of detections and modelling orbital distributions.\n", + "\"\"\"\n", + "%load_ext autoreload\n", + "%autoreload 2\n", + "import ossssim\n", + "from ossssim import models\n", + "from ossssim import OSSSSim, DetectFile, ModelFile, ModelOutputFile \n", + "from astropy import units\n", + "import numpy\n", + "import os\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "4b8baa4a-49fa-4dd1-aea5-c94dc6c2c1e9", + "metadata": {}, + "outputs": [], + "source": [ + "# setup some paths to characterization files and where to store your model outputs.\n", + "CHARACTERIZATION_DIR=\"Surveys\"\n", + "MODEL_OUTPUT_DIR=os.getenv('HOME')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "a7e0dbc6-5a26-4103-acf4-bf28d364f0b1", + "metadata": {}, + "outputs": [], + "source": [ + "# I load this Distributions object here so I can select on the Context Senstive Help \n", + "# On the object (click on Distributions) and see what funcitons are defined. \n", + "from ossssim.distributions import Distributions" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "optional-testament", + "metadata": {}, + "outputs": [], + "source": [ + "# We can also create new populations by defining a new class of Parametric or other availalbe model type. \n", + "# A Parametric based orbit model gets a 'cold-classical' H-distribution by default while an Implanted based model gets a \n", + "# H-distribution that is more consistent with the hot-classicals\n", + "\n", + "# NOTE The distributions of orbital elemetns are set by defining the functions with names that match the pattern:\n", + "# {element}_distribution (e.g. a_distribution, e_distribution, M_distribution where the value of element is one of\n", + "# [a, e, inc, node, peri, M, H, peri, phi]\n", + "\n", + "# NOTE: When defining a distribution we call the distributions attached to the model (e.g. self.distributions.FUNCTION_NAME )\n", + "# this is to ensure that all our distributions are seeded with a common random number and we can thuse re-produce a model if \n", + "# we know the seed value.\n", + "\n", + "class Hot(models.Implanted):\n", + " \"\"\"\n", + " Class used to create and store the objects generated and passed by the GiMeObj module into the main Driver.py\n", + " module that executes the survey simulator code.\n", + " \"\"\"\n", + " def __init__(self, q_min=36*units.au, q_max=40*units.au, q_centre=38*units.au,\n", + " q_width=1*units.au, a_max=100*units.au, a_beta=-5/2, model_band='r', \n", + " size=100000, **kwargs):\n", + " \"\"\"Build a Hot model orbital element distribution based on the peri-centre distribution \n", + " and declining 'a' distributions as a^beta power\n", + " \n", + " \"\"\"\n", + " super().__init__(size=size, H_max=8.5, model_band=model_band, **kwargs)\n", + " self.q_min = q_min\n", + " self.q_max = q_max\n", + " self.q_centre = q_centre\n", + " self.q_width = q_width\n", + " self.a_max = a_max\n", + " self.a_beta = a_beta\n", + "\n", + " @property\n", + " def q_distribution(self):\n", + " \"\"\"\n", + " A Normal or Gaussian distribution where we clip values above max and below min to remove\n", + " the long tails of the Normal disrtibution.\n", + " \"\"\"\n", + " return self.distributions.truncated_normal(mu=self.q_centre.to('au').value, \n", + " maximum=self.q_max.to('au').value, \n", + " minimum=self.q_min.to('au').value, \n", + " sigma=self.q_width.to('au').value) * units.au\n", + "\n", + " @property\n", + " def q(self):\n", + " if self._q is None:\n", + " self._q = self.q_distribution\n", + " return self._q\n", + "\n", + " @property\n", + " def a_distribution(self):\n", + " \"\"\"\n", + " Limited to be larger than 'q' but dropping as a to the power -5/2\n", + " \"\"\"\n", + " # based on functions described in Distributions.\n", + "\n", + " # we define our function be go between the minimum value of q and maximum value of a\n", + " fp = numpy.linspace(self.q_min.to('au').value, \n", + " self.a_max.to('au').value, \n", + " num=1000)\n", + " xp = (fp/self.q_min.to('au').value)**self.a_beta\n", + " xp = xp.cumsum() / xp.sum() # Normalizes the cdf\n", + " \n", + " # interpolator = self.rnd_gen.uniform(xp[0], xp[-1], self.size)\n", + " # a = numpy.interp(interpolator, xp, fp) * au\n", + " \n", + " # we don't what a fully uniform distribution of 'xp' (likelihood of a given a value) \n", + " # as we have the additional constraint that a > q so we need to eliminate the 'xp' \n", + " # values that would return fp < q \n", + " xp_min = numpy.interp(self.q.to('au').value,\n", + " fp,\n", + " xp)\n", + " # Generates an array (of a size given in our instance initialization) of uniformly distributed random values\n", + " # ranging from the minimum value of of our normalized cdf that provides a>q and the maximum value of xo.\n", + " interpolator = self.distributions.rnd_gen.uniform(xp_min, xp[-1], self.size)\n", + "\n", + " # Calls the interpolation function to generate a randomized array, corresponding to the probability\n", + " # density, by interpolating between the given points.\n", + " return numpy.interp(interpolator, xp, fp) * units.au\n", + " \n", + " @property\n", + " def e_distribution(self):\n", + " \"\"\"\n", + " Eccentricity axis distribution for a narrow ring\n", + " \"\"\"\n", + " a = self.a \n", + " q = self._q\n", + " e = 1 - q/a\n", + " return 1 - self.q/self.a\n", + "\n", + " @property\n", + " def inc_distribution(self):\n", + " \"\"\"\n", + " Inclination distribution for a narrow ring\n", + " \"\"\"\n", + " # truncated_sin_normal expects to get values in radians. \n", + " return self.distributions.truncated_sin_normal(0.0, 9.0/57.3, 0.0, 45/57.3) * units.radian\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ffc2a90e-2bf5-4c7c-8f8a-7a1850473b51", + "metadata": {}, + "outputs": [], + "source": [ + "h = Hot(size=1000000)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "8496c3e9-0415-4df8-a2ab-f010b2109bbb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# confirm that the 'a' distribution looks like what we want.\n", + "hot = Hot(size=100000)\n", + "from matplotlib import pyplot as plt\n", + "n = plt.hist(hot.a, histtype='step', bins=numpy.arange(35,100,1)*units.au)\n", + "plt.yscale('log')\n", + "plt.xlabel('a (au)')\n", + "plt.ylabel('$\\log(\\Sigma(]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# confirm that the 'q' distribution looks like what we want.\n", + "hot = Hot(size=10000)\n", + "print(hot.size)\n", + "import scipy\n", + "from matplotlib import pyplot as plt\n", + "n = plt.hist(hot.q, histtype='step', bins=50)\n", + "plt.xlabel('q (au)')\n", + "plt.ylabel('N')\n", + "# expected function, normalized to match the histogram bins from the model \n", + "x = numpy.linspace((n[1][0]+n[1][1])/2, (n[1][-1]+n[1][-2])/2, 1000) * units.au\n", + "n = (numpy.exp(-(x - hot.q_centre) ** 2 / (2 * hot.q_width ** 2))) * numpy.array(n[0]).max()\n", + "plt.plot(x, n)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "c98f2302-973a-4c72-94fe-f48d75425599", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# confirm that the 'inc' distribution looks like what we want.\n", + "import scipy\n", + "from matplotlib import pyplot as plt\n", + "n = plt.hist(hot.inc, histtype='step', bins=50)\n", + "plt.xlabel('inc (radians)')\n", + "plt.ylabel('N')\n", + "# expected function, normalized to match the histogram bins from the model \n", + "x = numpy.linspace((n[1][0]+n[1][1])/2, (n[1][-1]+n[1][-2])/2, 1000) * units.radian\n", + "n = numpy.sin(x)*(numpy.exp(-x ** 2 / (2 * (9/57.3*units.radian)** 2))) * (numpy.array(n[0])/numpy.sin(n[1][1:])).max()\n", + "plt.plot(x, n)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "66c294c0-d609-48f2-ac65-6a7c4a1f0e63", + "metadata": {}, + "outputs": [], + "source": [ + "# to determine if an object was detectable we use an OSSSSim object, initializing it with the name of directory holding the \n", + "# survey characterization of interest.\n", + "ssim = OSSSSim(characterization_directory=os.path.join(CHARACTERIZATION_DIR,'CFEPS'))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "c9458efd-1807-4b0d-beac-bf3779e757b5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iteration 10000\r" + ] + } + ], + "source": [ + "# let's create a model that is 50% twotinos and 50% 'Ring'\n", + "from numpy import random\n", + "import sys\n", + "n_detections = n_iterations = n_tracked = 0\n", + "\n", + "def delete_if_file_exists(filename):\n", + " import os\n", + " if os.access(filename, os.F_OK):\n", + " os.remove(filename)\n", + "\n", + "model_filename = os.path.join(MODEL_OUTPUT_DIR,'example_model.txt')\n", + "detect_filename = os.path.join(MODEL_OUTPUT_DIR, 'example_detect.txt')\n", + "\n", + "# Create some objects to store our model and our detections.\n", + "# First we delete any existing files with these names as all writes are appends.\n", + "for filename in [model_filename, detect_filename]:\n", + " delete_if_file_exists(filename)\n", + " \n", + "model_save_file=ModelOutputFile(filename=model_filename)\n", + "detect_save_file=DetectFile(filename=detect_filename)\n", + "\n", + "model = Hot(size=10000)\n", + "\n", + "total_iterations = 10000\n", + "\n", + "while n_iterations < total_iterations:\n", + " n_iterations += 1\n", + " row = next(model)\n", + " sys.stdout.write(f\"Iteration {n_iterations}\\r\")\n", + " model_save_file.write_row(row)\n", + " result = ssim.simulate(row, \n", + " epoch=model.epoch, \n", + " colors=model.colors, \n", + " seed=model.seed, \n", + " model_band=model.model_band)\n", + " if result['flag'] > 0:\n", + " n_detections += 1\n", + " detect_save_file.write_row(result)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "decreased-division", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# some diagnostic plots\n", + "import matplotlib as mpl\n", + "from matplotlib import pyplot\n", + "# This installation has no fonts, if working on a local device you might set your font here.\n", + "mpl.rcParams['font.family'] = []\n", + "mpl.rcParams['font.serif'] = []\n", + "pyplot.plot(model_save_file.table['a'], model_save_file.table['e'], ',g', label='cold')\n", + "pyplot.ylabel('e')\n", + "pyplot.xlabel('a (au)')\n", + "pyplot.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "2923c95b-1c8a-4494-9553-01f7ab063648", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "findfont: Font family [] not found. Falling back to DejaVu Sans.\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "a = numpy.array(model_save_file.table['a'])\n", + "q = numpy.array(model_save_file.table['q'])\n", + "pyplot.hist(a, bins=30, histtype='step', label='a')\n", + "pyplot.hist(q, bins=30, histtype='step', label='q')\n", + "# pyplot.ylabel('q (au)')\n", + "pyplot.xlabel('a/q (au)')\n", + "pyplot.yscale('log')\n", + "pyplot.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "51ac07aa-bef8-4479-a66c-3b5fa18e9258", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "H = numpy.array(model_save_file.table['H'])\n", + "pyplot.hist(H, cumulative=True, bins=30, histtype='step', label='H')\n", + "# pyplot.ylabel('q (au)')\n", + "pyplot.xlabel('H')\n", + "pyplot.yscale('log')\n", + "pyplot.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "4a9c83a8-0b2c-47c9-a8b0-90f6e76454df", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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T3d2t1tbW8O9tbW0KBALKycnR+PHjVVtbq+rqas2cOVOzZs1SfX29QqGQlixZEtWgfr9ffr9f/f2R3WQPAACYb8hhsnv3bl1//fXh32trayVJ1dXV2rhxoxYvXqwjR45o7dq1am9vV1lZmV5++eVzTogdKp/PJ5/Pp2AwqMxM7mUDAEAyGnKYzJkzR5ZlXfQ1q1at0qpVqyIeCgBSSWtnd0TLcVdzJKOEfysHAPCp7AyPvG6XahoCES3vdbvUWFdJnCCpECYAYJPiLK8a6yrVFeob8rKtnd2qaQioK9RHmCCpECYAYKPiLC9hAfyPmH5dGAAAIBqOCRO/36+SkhKVl5fbPQoAAIgTx4SJz+fT3r171dzcbPcoAAAgThwTJgAAIPkRJgAAwBiECQAAMAZhAgAAjEGYAAAAYzgmTPi6MAAAyc8xYcLXhQEASH6OCRMAAJD8CBMAAGAMbuIHAA7W2tkd0XLZGR5uHggjESYA4EDZGR553S7VNAQiWt7rdqmxrpI4gXEIEwBwoOIsrxrrKtUV6hvysq2d3appCKgr1EeYwDiECQA4VHGWl7BA0uHkVwAAYAzHhAkXWAMAIPk5Jky4wBoAAMnPMWECAACSH2ECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiOCROu/AoAQPJzTJhw5VcAAJKfY8IEAAAkP8IEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABiDMAEAAMYgTAAAgDEIEwAAYIzhdg8AALBHa2d3RMtlZ3hUnOWN8TTApxwTJn6/X36/X/39/XaPAgCOlp3hkdftUk1DIKLlvW6XGusqiRPEhWPCxOfzyefzKRgMKjMz0+5xAMCxirO8aqyrVFeob8jLtnZ2q6YhoK5QH2GCuHBMmAAAYqc4y0tYwEiECQBgyDg/BfFCmAAAvjDOT0G8ESYAgC+M81MQb4QJAGBIOD8F8cQF1gAAgDEIEwAAYAzCBAAAGIMwAQAAxiBMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxHBMmfr9fJSUlKi8vt3sUAAAQJ44JE5/Pp71796q5udnuUQAAQJw4JkwAAEDyI0wAAIAxCBMAAGCM4XYPAABILa2d3REtl53hUXGWN8bTwDSECQAgIbIzPPK6XappCES0vNftUmNdJXGS5AgTAEBCFGd51VhXqa5Q35CXbe3sVk1DQF2hPsIkyREmAICEKc7yEha4KE5+BQAAxiBMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABiDMAEAAMYgTAAAgDEIEwAAYAzCBAAAGIMwAQAAxiBMAACAMRwTJn6/XyUlJSovL7d7FAAAECeOCROfz6e9e/equbnZ7lEAAECcOCZMAABA8iNMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABiDMAEAAMYgTAAAgDEIEwAAYAzCBAAAGIMwAQAAxiBMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABiDMAEAAMYgTAAAgDEIEwAAYAzCBAAAGIMwAQAAxiBMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxhts9AAAAX1RrZ3dEy2VneFSc5Y3xNIgHW8Lk1ltv1fbt2zV37lxt3rzZjhEAAA6SneGR1+1STUMgouW9bpca6yqJEwewJUzuueceLV26VL/73e/s+HgAgMMUZ3nVWFeprlDfkJdt7exWTUNAXaE+wsQBbAmTOXPmaPv27XZ8NADAoYqzvIRFChjyya87d+7UzTffrKKiIqWlpWnr1q3nvMbv92vixIkaMWKEKioq9Oabb8ZiVgAAkOSGvMckFAqptLRUS5cu1aJFi855vqGhQbW1tdqwYYMqKipUX1+vefPmad++fcrLyxvygL29vert7Q3/HgwGh/weAABEeuJsNDjpduiGHCbz58/X/PnzL/j8448/rmXLlmnJkiWSpA0bNugvf/mLnnnmGa1evXrIA65fv14PPfTQkJcDAECK/sTZaHDS7dDF9ByTvr4+tbS0aM2aNeHHhg0bpqqqKu3atSui91yzZo1qa2vDvweDQY0bNy7qWQEAqSGaE2ejwUm3kYlpmBw9elT9/f3Kz88f9Hh+fr7ef//98O9VVVV6++23FQqFNHbsWG3atEmzZ88+73ump6crPT09lmMCAFIMJ846hy3fymlsbLTjYwEAgOFiekn63NxcuVwudXR0DHq8o6NDBQUFsfwoAACQhGIaJh6PRzNmzFBTU1P4sYGBATU1NV3wUA0AAMBZQz6U093drdbW1vDvbW1tCgQCysnJ0fjx41VbW6vq6mrNnDlTs2bNUn19vUKhUPhbOpHy+/3y+/3q7++P6n0AAIC5hhwmu3fv1vXXXx/+/ew3Zqqrq7Vx40YtXrxYR44c0dq1a9Xe3q6ysjK9/PLL55wQO1Q+n08+n0/BYFCZmZlRvRcAADDTkMNkzpw5sizroq9ZtWqVVq1aFfFQAAAgNcX0HBMAAIBoECYAAMAYhAkAADCGY8LE7/erpKRE5eXldo8CAADixDFh4vP5tHfvXjU3N9s9CgAAiBPHhAkAAEh+hAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMIZjwoTrmAAAkPwcEyZcxwQAgOTnmDABAADJjzABAADGIEwAAIAxCBMAAGAMwgQAABiDMAEAAMZwTJhwHRMAAJKfY8KE65gAAJD8HBMmAAAg+REmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIzhmDDhyq8AACQ/x4QJV34FACD5OSZMAABA8iNMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABiDMAEAAMYgTAAAgDEIEwAAYAzHhAk38QMAIPk5Jky4iR8AAMnPMWECAACSH2ECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGMPtHgAAAJzr4PEedYX6Ilo2O8Oj4ixvjCdKDMeEid/vl9/vV39/v92jAAAQVweP96jqsR3qORPZ3zyv26XGukpHxoljwsTn88nn8ykYDCozM9PucQAAiJuuUJ96zvSrfnGZJueNGtKyrZ3dqmkIqCvUR5gAAIDYmZw3SlOLU+s/xjn5FQAAGIMwAQAAxiBMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABiDMAEAAMYgTAAAgDEIEwAAYAzCBAAAGIMwAQAAxiBMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxhts9AAAAyay1szshy8TqPbIzPCrO8kb9+ZFyTJj4/X75/X719/fbPQoAAJeUneGR1+1STUMgouW9bpeyMzy2fG5jXaVtceKYMPH5fPL5fAoGg8rMzLR7HAAALqo4y6vGukp1hfoiWj7SPRfRfG5rZ7dqGgLqCvURJgAAJJviLK8tf+Dt+txY4ORXAABgDMIEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABiDMAEAAMYgTAAAgDEIEwAAYAzCBAAAGIMwAQAAxiBMAACAMQgTAABgDMfdXdiyLElSMBiM6ft2nwxqoPeUuk8GFQymxfS9AQBwgnj+LTz7d/vs3/ELSbMu9QrDHDhwQOPGjbN7DAAAEIH9+/dr7NixF3zecWEyMDCgQ4cOafTo0UpLi13NBYNBjRs3Tvv379eYMWNi9r6mS8X1TsV1llJzvVNxnaXUXO9UXGfJWettWZZOnjypoqIiDRt24TNJHHcoZ9iwYRctrWiNGTPG+I0bD6m43qm4zlJqrncqrrOUmuudiussOWe9MzMzL/kaTn4FAADGIEwAAIAxCJPPpKena926dUpPT7d7lIRKxfVOxXWWUnO9U3GdpdRc71RcZyk519txJ78CAIDkxR4TAABgDMIEAAAYgzABAADGIEwAAIAxCJPP+P1+TZw4USNGjFBFRYXefPNNu0eKmwcffFBpaWmDfq655hq7x4q5nTt36uabb1ZRUZHS0tK0devWQc9blqW1a9eqsLBQXq9XVVVV+uCDD+wZNkYutc533nnnOdv+pptusmfYGFm/fr3Ky8s1evRo5eXlaeHChdq3b9+g15w+fVo+n0+XXXaZRo0apW9+85vq6OiwaeLY+CLrPWfOnHO291133WXTxNH79a9/renTp4cvJjZ79mz99a9/DT+fjNtZuvR6J9t2JkwkNTQ0qLa2VuvWrdNbb72l0tJSzZs3T52dnXaPFjdf/vKXdfjw4fDPP/7xD7tHirlQKKTS0lL5/f7zPv/zn/9cv/zlL7Vhwwa98cYbysjI0Lx583T69OkETxo7l1pnSbrpppsGbfvnnnsugRPG3o4dO+Tz+fT666/r73//u86cOaMbb7xRoVAo/Jof/OAH+tOf/qRNmzZpx44dOnTokBYtWmTj1NH7IustScuWLRu0vX/+85/bNHH0xo4dq0ceeUQtLS3avXu3brjhBt1yyy365z//KSk5t7N06fWWkms7y4I1a9Ysy+fzhX/v7++3ioqKrPXr19s4VfysW7fOKi0ttXuMhJJkbdmyJfz7wMCAVVBQYD366KPhx44fP26lp6dbzz33nA0Txt7n19myLKu6utq65ZZbbJknUTo7Oy1J1o4dOyzL+nS7ut1ua9OmTeHX/Otf/7IkWbt27bJrzJj7/HpblmVVVlZa99xzj31DJUB2drb19NNPp8x2PuvseltW8m3nlN9j0tfXp5aWFlVVVYUfGzZsmKqqqrRr1y4bJ4uvDz74QEVFRbriiiv03e9+Vx9//LHdIyVUW1ub2tvbB233zMxMVVRUJPV2l6Tt27crLy9PU6ZM0YoVK/TJJ5/YPVJMnThxQpKUk5MjSWppadGZM2cGbetrrrlG48ePT6pt/fn1Puv3v/+9cnNzNXXqVK1Zs0anTp2yY7yY6+/v1/PPP69QKKTZs2enzHb+/HqflUzb2XE38Yu1o0ePqr+/X/n5+YMez8/P1/vvv2/TVPFVUVGhjRs3asqUKTp8+LAeeughfeMb39B7772n0aNH2z1eQrS3t0vSebf72eeS0U033aRFixZp0qRJ+vDDD3X//fdr/vz52rVrl1wul93jRW1gYEA1NTX62te+pqlTp0r6dFt7PB5lZWUNem0ybevzrbckfec739GECRNUVFSkd955R/fdd5/27dunF154wcZpo/Puu+9q9uzZOn36tEaNGqUtW7aopKREgUAgqbfzhdZbSr7tnPJhkormz58f/vf06dNVUVGhCRMm6A9/+IO+//3v2zgZ4u3b3/52+N/Tpk3T9OnTdeWVV2r79u2aO3eujZPFhs/n03vvvZeU50xdzIXWe/ny5eF/T5s2TYWFhZo7d64+/PBDXXnllYkeMyamTJmiQCCgEydOaPPmzaqurtaOHTvsHivuLrTeJSUlSbedU/5QTm5urlwu1zlnbnd0dKigoMCmqRIrKytLV199tVpbW+0eJWHObttU3u6SdMUVVyg3Nzcptv2qVav05z//Wdu2bdPYsWPDjxcUFKivr0/Hjx8f9Ppk2dYXWu/zqaiokCRHb2+Px6PJkydrxowZWr9+vUpLS/WLX/wi6bfzhdb7fJy+nVM+TDwej2bMmKGmpqbwYwMDA2pqahp0/C6ZdXd368MPP1RhYaHdoyTMpEmTVFBQMGi7B4NBvfHGGymz3SXpwIED+uSTTxy97S3L0qpVq7Rlyxa9+uqrmjRp0qDnZ8yYIbfbPWhb79u3Tx9//LGjt/Wl1vt8AoGAJDl6e3/ewMCAent7k3Y7X8jZ9T4fx29nu8++NcHzzz9vpaenWxs3brT27t1rLV++3MrKyrLa29vtHi0u6urqrO3bt1ttbW3Wa6+9ZlVVVVm5ublWZ2en3aPF1MmTJ609e/ZYe/bssSRZjz/+uLVnzx7ro48+sizLsh555BErKyvLevHFF6133nnHuuWWW6xJkyZZPT09Nk8euYut88mTJ60f/vCH1q5du6y2tjarsbHR+spXvmJdddVV1unTp+0ePWIrVqywMjMzre3bt1uHDx8O/5w6dSr8mrvuussaP3689eqrr1q7d++2Zs+ebc2ePdvGqaN3qfVubW21fvKTn1i7d++22trarBdffNG64oorrOuuu87mySO3evVqa8eOHVZbW5v1zjvvWKtXr7bS0tKsV155xbKs5NzOlnXx9U7G7UyYfObJJ5+0xo8fb3k8HmvWrFnW66+/bvdIcbN48WKrsLDQ8ng8VnFxsbV48WKrtbXV7rFibtu2bZakc36qq6sty/r0K8MPPPCAlZ+fb6Wnp1tz58619u3bZ+/QUbrYOp86dcq68cYbrcsvv9xyu93WhAkTrGXLljk+wM+3vpKs3/72t+HX9PT0WCtXrrSys7OtkSNHWrfeeqt1+PBh+4aOgUut98cff2xdd911Vk5OjpWenm5NnjzZuvfee60TJ07YO3gUli5dak2YMMHyeDzW5Zdfbs2dOzccJZaVnNvZsi6+3sm4ndMsy7ISt38GAADgwlL+HBMAAGAOwgQAABiDMAEAAMYgTAAAgDEIEwAAYAzCBAAAGIMwAQAAxiBMAACAMQgTAAkzZ84c1dTU2D0GAINx5VcACXPs2DG53W6NHj3a7lEAGIowAQAAxuBQDoCE+d9DORMnTtTDDz+spUuXavTo0Ro/fryeeuqpQa8/cOCAbr/9duXk5CgjI0MzZ87UG2+8YcPkABKFMAFgm8cee0wzZ87Unj17tHLlSq1YsUL79u2TJHV3d6uyslIHDx7USy+9pLfffls/+tGPNDAwYPPUAOJpuN0DAEhdCxYs0MqVKyVJ9913n5544glt27ZNU6ZM0bPPPqsjR46oublZOTk5kqTJkyfbOS6ABGCPCQDbTJ8+PfzvtLQ0FRQUqLOzU5IUCAR07bXXhqMEQGogTADYxu12D/o9LS0tfKjG6/XaMRIAmxEmAIw0ffp0BQIBHTt2zO5RACQQYQLASLfffrsKCgq0cOFCvfbaa/r3v/+tP/7xj9q1a5fdowGII8IEgJE8Ho9eeeUV5eXlacGCBZo2bZoeeeQRuVwuu0cDEEdcYA0AABiDPSYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACM8f8BwhciwxVP5CoAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inc = numpy.array(model_save_file.table['inc'])\n", + "pyplot.hist(inc, cumulative=False, bins=30, histtype='step', label='inc')\n", + "# pyplot.ylabel('q (au)')\n", + "pyplot.xlabel('inc')\n", + "pyplot.yscale('log')\n", + "pyplot.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "latin-bullet", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/SSim/python/ossssim/plotter.py:143: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n", + " self.ax1.set_xticklabels(x_tick_labels, color='b', alpha=0.6)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib as mpl\n", + "from ossssim import plotter\n", + "# This installation has no fonts, if working on a local device you might set your font here.\n", + "mpl.rcParams['font.family'] = []\n", + "mpl.rcParams['font.serif'] = []\n", + "\n", + "plot = plotter.RosePlot(epoch=model_save_file.epoch)\n", + "plot.add_model(model_save_file, ms=1, mc='k', alpha=0.2)\n", + "plot.add_model(detect_save_file, ms=5, mc='g')\n", + "plot.add_planets()\n", + "plot.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "77373ab8-9cfc-43fa-b7f1-25fece5b03a4", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/python/examples/ploting.py b/python_examples/ploting.py similarity index 100% rename from python/examples/ploting.py rename to python_examples/ploting.py diff --git a/python/examples/plutino.py b/python_examples/plutino.py similarity index 100% rename from python/examples/plutino.py rename to python_examples/plutino.py diff --git a/python/examples/read_model_from_file.py b/python_examples/read_model_from_file.py similarity index 100% rename from python/examples/read_model_from_file.py rename to python_examples/read_model_from_file.py diff --git a/python/examples/res_model.py b/python_examples/res_model.py similarity index 84% rename from python/examples/res_model.py rename to python_examples/res_model.py index fee1ed4..07f359c 100644 --- a/python/examples/res_model.py +++ b/python_examples/res_model.py @@ -77,66 +77,24 @@ def __init__(self, q_c=0.07, q_w=0.30, j=2, k=1, sigma_i=14.5, H_min=4.5, H_max= @property - def inc(self): + def inc_distribution(self): """ Distribute the inclinations based on Brown 2001 functional form. """ - if self._inc is None: - self._inc = self.distributions.truncated_sin_normal(0, - numpy.deg2rad(self.sigma_i), - 0, - numpy.deg2rad(45)) * units.rad - return self._inc + return self.distributions.truncated_sin_normal(0, + numpy.deg2rad(self.sigma_i), + 0, + numpy.deg2rad(45)) * units.rad @property def e(self): """ Set values of 'e' by sampling 'q' and the setting 'e' """ - if self._e is None: - # self._e = self.distributions.uniform(0.3,0.33) - # return self._e - # max is set by q but also limited by users choice of e_max. - res_a = 29.9*((self.j[0]/self.k[0])**(2/3)) - q = self.distributions.truncated_normal(self.q_c, self.q_w, res_a*(1-0.8), res_a*(1-0.001)) - self._e = 1 - q/res_a - return self._e + res_a = 29.9*((self.j[0]/self.k[0])**(2/3)) + q = self.distributions.truncated_normal(self.q_c, self.q_w, res_a*(1-0.8), res_a*(1-0.001)) + return 1 - q/res_a - @property - def off_resamp(self): - """ - Uniformly distributed across the width - """ - if self._resamp is None: - # self._resamp = self.distributions.uniform(0., 1.) * units.deg - # return self._resamp - self._resamp = self.distributions.uniform(80., 160.) * units.deg - return self._resamp - - @property - def phi(self): - """ - Resonance centre is the libration centre +/- the resamp - - The default phi is distributed using a sin weighted distribution but in the OSSOS++ model this was switched to uniform for - the symmetric resonance. - """ - if self._phi is None: - self._phi = self.phi0 + self.distributions.uniform(-1, 1) * self.resamp - return self._phi - - @property - def H(self): - """ - Generate an H distribution following Kavelaars et al. (2021). - """ - if self._H is None: - fp = numpy.arange(self.H_min, self.H_max, 0.1) - xp = H_cfd(fp) - xp = xp/xp[-1] - x = self.distributions.rnd_gen.uniform(xp[0], xp[-1], self.distributions.size) - self._H = numpy.interp(x, xp, fp) - return self._H class Asymmetric(Symmetric): diff --git a/python/examples/res_params.txt b/python_examples/res_params.txt similarity index 100% rename from python/examples/res_params.txt rename to python_examples/res_params.txt diff --git a/python/examples/ring.py b/python_examples/ring.py similarity index 63% rename from python/examples/ring.py rename to python_examples/ring.py index d701506..ecac59c 100644 --- a/python/examples/ring.py +++ b/python_examples/ring.py @@ -6,27 +6,28 @@ from ossssim.models import Parametric from ossssim import OSSSSim, DetectFile, ModelFile, definitions, plotter from astropy import units - +from astropy.table import Table +import os class Ring(Parametric): """ Class used to create and store the objects generated and passed by the GiMeObj module into the main Driver.py module that executes the survey simulator code. """ - def __init__(self, ring_centre, ring_width, **kwargs): + def __init__(self, ring_centre, ring_width, model_band='r', **kwargs): """Build a ring distribution of given with at a given distance. Ring is edge-on and circular. Args: ring_center (units.Quantity): The location of the ring, given as unit quantity ring_width (units.Quantity): Width of the ring. """ - super().__init__(**kwargs) + super().__init__(model_band=model_band, **kwargs) self.ring_center = ring_centre self.ring_width = ring_width @property - def a(self): + def a_distribution(self): """ Semi-major axis distribution for a narrow ring """ @@ -36,14 +37,14 @@ def a(self): @property - def e(self): + def e_distribution(self): """ Eccentricity axis distribution for a narrow ring """ return self.distributions.constant(0.0) @property - def inc(self): + def inc_distribution(self): """ Inclination distribution for a narrow ring """ @@ -62,37 +63,34 @@ def run(model_filename, characterization_directory (str): Relative or absolute path to directory on disk where the characterization files are organized seed (int): random number seed, specifying allows reproducibility ntrack (int): < 0 continue for ntrack iterations; - > 0 continue until n_tracked tracked detections; + > 0 continue until ntrack tracked detections; = 0 continue until input exhausted """ - ssim = OSSSSim(characterization_directory=characterization_directory) # the default Resonant class arguments setup for a Plutino model.... - model = Ring(45*units.au, 1*units.au, seed=seed, component='Ring') - - model_file = DetectFile(model_filename) - model_file.epoch = model.epoch - model_file.longitude_neptune =model.longitude_neptune - model_file.colors = definitions.COLORS.values() - model_file.write_header(seed) - - detect_file = DetectFile(detect_filename) - detect_file.epoch = model.epoch - detect_file.longitude_neptune = model.longitude_neptune - detect_file.colors = definitions.COLORS.values() - detect_file.write_header(seed) - + model = Ring(45*units.au, 1*units.au, seed=seed, component='Ring', size=1, H_max=9) + model_file = DetectFile(model_filename, + epoch=model.epoch, + longitude_neptune=model.longitude_neptune, + seed=model.seed) + detect_file = DetectFile(detect_filename, + epoch=model.epoch, + longitude_neptune=model.longitude_neptune, + seed=model.seed) + + ssim = OSSSSim(characterization_directory=characterization_directory, + seed=model.seed) n_iter = n_track = n_hits = 0 for row in model: n_iter += 1 - result = ssim.simulate(row, seed=model.seed) + result = ssim.simulate(row, colors=model.colors, model_band=model.model_band, epoch=model.epoch) model_file.write_row(result) if result['flag'] > 0: n_hits += 1 - detect_file.write_row(result) - if result['flag'] > 2: + if result['flag'] == 4: n_track += 1 - if (0 < ntrack < n_track) or (0 < -ntrack < n_iter): + detect_file.write_row(result) + if (0 < ntrack <= n_track) or (0 < -ntrack <= n_iter): break detect_file.write_footer(n_iter=n_iter, n_hits=n_hits, n_track=n_track) @@ -110,13 +108,30 @@ def face_down_plot(model_file: str, detect_file: str) -> None: plot = plotter.RosePlot(definitions.Neptune['Longitude']) plot.add_model(ModelFile(model_file), mc='k', ms=0.05, alpha=0.1) plot.add_model(ModelFile(detect_file), ms=5, mc='g') - # plot.add_scale_rings() - plot.show() + # plot.show() + plot.savefig('ring.png') + +def delete_file_if_exists(filename): + if os.access(filename, os.F_OK): + os.remove(filename) if __name__ == '__main__': - run('RingModel.dat', 'RingDetect.dat', - '../tests/data/CFEPS', - 123456789, - 28) - face_down_plot('RingModel.dat', 'RingDetect.dat') + from ossssim import Characterizations + seed = 123456789 + n_track = 10 + for i in range(2): + file_format='ecsv' + model_filename = f'RingModel_{i}.{file_format}' + detect_filename = f'RingDetect_{i}.{file_format}' + delete_file_if_exists(model_filename) + delete_file_if_exists(detect_filename) + run(model_filename, detect_filename, + Characterizations.surveys['CFEPS'], + seed, + n_track) + print(f"iter : {i}") + print(f"niter :{len(Table.read(model_filename, format='ascii.ecsv'))}") + print(f"ntrack:{len(Table.read(detect_filename, format='ascii.ecsv'))}") + #face_down_plot('RingModel.dat', 'RingDetect.dat') + diff --git a/python/examples/roseplot.py b/python_examples/roseplot.py similarity index 100% rename from python/examples/roseplot.py rename to python_examples/roseplot.py diff --git a/python/examples/twotinos.py b/python_examples/twotinos.py similarity index 100% rename from python/examples/twotinos.py rename to python_examples/twotinos.py diff --git a/python/examples/wcs.py b/python_examples/wcs.py similarity index 100% rename from python/examples/wcs.py rename to python_examples/wcs.py diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index fc7c4c2..0000000 --- a/requirements.txt +++ /dev/null @@ -1,11 +0,0 @@ -ossssim~=1.0 -astropy~=5.0.4 -f90wrap~=0.2.7 -numpy~=1.23.1 -matplotlib~=3.3.4 -astroquery~=0.4.6 -ephem~=3.7.7.1 -setuptools~=56.0.0 - -rebound~=3.24.0 -scipy~=1.6.1 \ No newline at end of file diff --git a/setup.py b/setup.py new file mode 100644 index 0000000..ffde746 --- /dev/null +++ b/setup.py @@ -0,0 +1,48 @@ +# setup.py +from distutils.dir_util import remove_tree +from glob import glob +import os +import pathlib +from setuptools import setup, Extension +from setuptools.command.build_ext import build_ext +import shutil +import subprocess +import sys + +# Remove the build directory at the start + +if pathlib.PosixPath("build").is_dir(): + remove_tree('build', verbose=True) + + +ROOT = pathlib.Path(__file__).parent.resolve() +FORTRAN_DIR = ROOT / "F95" +make = shutil.which('make') +ext_name = "ossssimlib" + + +class BuildExtWithMake(build_ext): + def run(self): + # 1. Run make to build the Fortran-based extension + module_name = ext_name.split(".")[-1] # "simsubs" + subprocess.check_call([make, f"MODULE={module_name}"], cwd=FORTRAN_DIR) + + # 2. Continue normal extension build process + super().run() + + + def build_extension(self, ext): + # We assume the Makefile produced a shared library for this extension. + assert ext_name == ext.name # "ossssimlib" + target_path = pathlib.Path(self.get_ext_fullpath(ext.name)).parent + built_so = pathlib.Path(self.get_ext_fullpath(ext.name)).name + built_so = FORTRAN_DIR / f"_{built_so}" + built_py = FORTRAN_DIR / f"{ext_name}" + built_so.rename(target_path/built_so.name) + built_py.rename(target_path / built_py.name) + + +setup( + cmdclass={"build_ext": BuildExtWithMake}, +) + diff --git a/src/MANIFEST.in b/src/MANIFEST.in new file mode 100644 index 0000000..8618417 --- /dev/null +++ b/src/MANIFEST.in @@ -0,0 +1,2 @@ +include ossssim/lib/_SurveySubsF95.so +recursive-include ossssim/Characterizations * diff --git a/python/README.md b/src/README.md similarity index 100% rename from python/README.md rename to src/README.md diff --git a/src/ossssim/Characterizations/All_Surveys/2013AE.eff b/src/ossssim/Characterizations/All_Surveys/2013AE.eff new file mode 100644 index 0000000..b9d8feb --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/2013AE.eff @@ -0,0 +1,56 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 15.00 20.00 30.00 +# +mag_error= 0.06 0.38 24.7 0.6 23.7 -0.5 +# +phot_frac= 0.04 0.06 0.90 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +# As of 2015-08-07, we realised that measured magnitudes had changed for E +# block, in particular due to change in zeropoint when going from level 1 +# to level 3. The new zeropoint are on average 0.02 mag larger than before. +# Hence the magnitude term in the square_param lines below have been +# offset by that amount (the old values are kept in comments). +rates= 0.50 8.00 +function= square +square_param= 0.887741923 2.76305359E-02 24.1423416 0.153656587 +# Goodness of fit (reduced chi^2): 0.669 +# +# Limiting magnitude of the block +# Initial value of characterizatin limit was determined to insure 100% tracking +# efficiency, at a detection efficiency above 40% +#mag_lim= 24.05 +# We can now push the characterization limit to 40% efficiency and loose only +# o3e33, assuming we keep only the 3rd image measurement for o3e15. +mag_lim= 24.09 +# +rates= 8.00 11.00 +function= square +square_param= 0.895575285 2.31122747E-02 24.0048294 0.157101125 +# Goodness of fit (reduced chi^2): 0.470 +# +# Limiting magnitude of the block +#mag_lim= 23.95 +mag_lim= 23.85 +# +rates= 11.00 15.00 +function= square +square_param= 0.865791440 2.12179236E-02 23.8810692 0.155520618 +# Goodness of fit (reduced chi^2): 0.501 +# +# Limiting magnitude of the block +#mag_lim= 23.83 +mag_lim= 23.73 +# diff --git a/src/ossssim/Characterizations/All_Surveys/2013AO.eff b/src/ossssim/Characterizations/All_Surveys/2013AO.eff new file mode 100644 index 0000000..1671b0b --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/2013AO.eff @@ -0,0 +1,48 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 15.00 20.00 30.00 +# +mag_error= 0.06 0.30 25.1 0.6 24.4 -0.5 +# +phot_frac= 0.00 0.222 0.778 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +rates= 0.50 7.00 +function= square +square_param= 0.841375411 2.05407962E-02 24.5497284 0.110739127 +# Goodness of fit (reduced chi^2): 5.478 +# +# Limiting magnitude of the block +#mag_lim= 24.46 +mag_lim= 24.40 +# +# +rates= 7.00 10.00 +function= square +square_param= 0.877626657 1.88417193E-02 24.4186745 0.121682763 +# Goodness of fit (reduced chi^2): 1.396 +# +# Limiting magnitude of the block +#mag_lim= 24.36 +mag_lim= 24.26 +# +rates= 10.00 15.00 +function= square +square_param= 0.863873243 1.87772699E-02 24.2575226 0.145261303 +# Goodness of fit (reduced chi^2): 0.818 +# +# Limiting magnitude of the block +#mag_lim= 24.20 +mag_lim= 24.10 +# diff --git a/src/ossssim/Characterizations/All_Surveys/2013BL.eff b/src/ossssim/Characterizations/All_Surveys/2013BL.eff new file mode 100644 index 0000000..c6605cc --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/2013BL.eff @@ -0,0 +1,55 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 15.00 -23.00 30.00 +# +mag_error= 0.03 0.11 23.5 -0.12 24.5 -0.6 +# +phot_frac= 0.013 0.152 0.835 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +rates= 0.50 2.50 +function= square +square_param= 0.852392793 1.68104991E-02 24.5213051 0.148857504 +# Goodness of fit (reduced chi^2): 1.086 +# +# Limiting magnitude of the block +mag_lim= 24.45 +# +rates= 2.50 8.00 +function= square +square_param= 0.888259053 1.33343311E-02 24.4792595 0.145277739 +# Goodness of fit (reduced chi^2): 2.910 +# +# Limiting magnitude of the block +#mag_lim= 24.45 +mag_lim= 24.46 +# +rates= 8.00 12.00 +function= square +square_param= 0.884100020 9.23251361E-03 24.3310623 0.160950899 +# Goodness of fit (reduced chi^2): 0.689 +# +# Limiting magnitude of the block +#mag_lim= 24.32 +mag_lim= 24.22 +# +rates= 12.00 15.00 +function= square +square_param= 0.868348002 1.05533712E-02 24.2242832 0.154411465 +# Goodness of fit (reduced chi^2): 0.761 +# +# Limiting magnitude of the block +#mag_lim= 24.20 +mag_lim= 24.10 +# diff --git a/src/ossssim/Characterizations/All_Surveys/2014BH.eff b/src/ossssim/Characterizations/All_Surveys/2014BH.eff new file mode 100644 index 0000000..107629f --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/2014BH.eff @@ -0,0 +1,72 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.06 0.24 24.6 -0.01 24.4 -0.6 +# +phot_frac= 0.090 0.179 0.731 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.935312152 8.83434433E-03 24.6528168 0.176062375 +# Goodness of fit (reduced chi^2): 0.749 +# +# Limiting magnitude of the block +mag_lim= 24.66 +# +rates= 2.00 6.00 +function= double +double_param= 0.902244687 24.7926483 0.285338759 0.769840360 +# Goodness of fit (reduced chi^2): 0.833 +# +# Limiting magnitude of the block +#mag_lim= 24.64 +mag_lim= 24.67 +# +rates= 6.00 8.00 +function= square +square_param= 0.899700284 1.00836307E-02 24.5681419 0.171323597 +# Goodness of fit (reduced chi^2): 0.600 +# +# Limiting magnitude of the block +mag_lim= 24.55 +# +rates= 8.00 10.00 +function= square +square_param= 0.893210411 1.13223456E-02 24.5112667 0.166278049 +# Goodness of fit (reduced chi^2): 0.496 +# +# Limiting magnitude of the block +#mag_lim= 24.49 +mag_lim= 24.39 +# +rates= 10.00 12.00 +function= square +square_param= 0.878397822 1.13094356E-02 24.4453583 0.166974485 +# Goodness of fit (reduced chi^2): 0.879 +# +# Limiting magnitude of the block +#mag_lim= 24.42 +mag_lim= 24.32 +# +rates= 12.00 15.00 +function= square +square_param= 0.866272926 1.40404310E-02 24.3540421 0.167420089 +# Goodness of fit (reduced chi^2): 0.633 +# +# Limiting magnitude of the block +#mag_lim= 24.31 +mag_lim= 24.21 +# diff --git a/src/ossssim/Characterizations/All_Surveys/2015AM.eff b/src/ossssim/Characterizations/All_Surveys/2015AM.eff new file mode 100644 index 0000000..33af820 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/2015AM.eff @@ -0,0 +1,71 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 12.0 20.0 +# +mag_error= 0.020 0.12 23.8 -0.14 24.7 -0.34 +# +phot_frac= 0.073 0.364 0.563 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.938154340 1.07404441E-02 24.9222641 0.156125039 +# Goodness of fit (reduced chi^2): 0.967 +# +# Limiting magnitude of the block +mag_lim= 24.91 +# +rates= 2.00 6.00 +function= square +square_param= 0.916795731 1.27213169E-02 24.9023361 0.148992002 +# Goodness of fit (reduced chi^2): 0.269 +# +# Limiting magnitude of the block +mag_lim= 24.87 +# +rates= 6.00 8.00 +function= square +square_param= 0.890322566 1.30775571E-02 24.8419151 0.148460299 +# Goodness of fit (reduced chi^2): 0.696 +# +# Limiting magnitude of the block +mag_lim= 24.79 +# +rates= 8.00 10.00 +function= square +square_param= 0.881018519 1.35978991E-02 24.7838840 0.146249115 +# Goodness of fit (reduced chi^2): 0.504 +# +# Limiting magnitude of the block +#mag_lim= 24.73 +mag_lim= 24.63 +# +rates= 10.00 12.00 +function= square +square_param= 0.865377665 1.44656133E-02 24.7113113 0.148179635 +# Goodness of fit (reduced chi^2): 0.799 +# +# Limiting magnitude of the block +#mag_lim= 24.65 +mag_lim= 24.55 +# +rates= 12.00 15.00 +function= square +square_param= 0.845461726 1.48604941E-02 24.6220360 0.151784837 +# Goodness of fit (reduced chi^2): 0.846 +# +# Limiting magnitude of the block +#mag_lim= 24.55 +mag_lim= 24.45 +# diff --git a/src/ossssim/Characterizations/All_Surveys/2015AP.eff b/src/ossssim/Characterizations/All_Surveys/2015AP.eff new file mode 100644 index 0000000..5e8605d --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/2015AP.eff @@ -0,0 +1,72 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 20.0 22.0 +# +mag_error= 0.035 0.21 24.4 -0.05 24.8 -0.4 +# +phot_frac= 0.129 0.279 0.592 +# +track_frac= 0.9865 25.35 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.947899103 1.17114708E-02 24.7796631 0.183700129 +# Goodness of fit (reduced chi^2): 2.188 +# +# Limiting magnitude of the block +mag_lim= 24.77 +# +rates= 2.00 5.00 +function= square +square_param= 0.926963389 1.31419227E-02 24.7708035 0.178037807 +# Goodness of fit (reduced chi^2): 1.311 +# +# Limiting magnitude of the block +#mag_lim= 24.74 +mag_lim= 24.80 +# +rates= 5.00 8.00 +function= square +square_param= 0.898972332 1.24170277E-02 24.6998901 0.174402624 +# Goodness of fit (reduced chi^2): 0.726 +# +# Limiting magnitude of the block +mag_lim= 24.66 +# +rates= 8.00 10.00 +function= square +square_param= 0.877519727 1.25099272E-02 24.6331863 0.174904048 +# Goodness of fit (reduced chi^2): 0.840 +# +# Limiting magnitude of the block +#mag_lim= 24.59 +mag_lim= 24.49 +# +rates= 10.00 12.00 +function= square +square_param= 0.860023141 1.24099599E-02 24.5626755 0.177125990 +# Goodness of fit (reduced chi^2): 0.418 +# +# Limiting magnitude of the block +#mag_lim= 24.51 +mag_lim= 24.41 +# +rates= 12.00 15.00 +function= double +double_param= 0.825767696 24.6297474 0.910857081 0.311173081 +# Goodness of fit (reduced chi^2): 2.340 +# +# Limiting magnitude of the block +#mag_lim= 24.42 +mag_lim= 24.32 +# diff --git a/src/ossssim/Characterizations/All_Surveys/2015BC.eff b/src/ossssim/Characterizations/All_Surveys/2015BC.eff new file mode 100644 index 0000000..ff06bab --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/2015BC.eff @@ -0,0 +1,74 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.02 0.27 25.0 0.001 24.0 -0.22 +# +phot_frac= 0.129 0.279 0.592 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.933323383 1.22420564E-02 24.8778725 0.129970565 +# Goodness of fit (reduced chi^2): 2.789 +# +# Limiting magnitude of the block +# OK +mag_lim= 24.86 +# +rates= 2.00 6.00 +function= double +double_param= 0.878271341 24.9278564 0.235119641 0.791498780 +# Goodness of fit (reduced chi^2): 8.641 +# +# Limiting magnitude of the block +# OK +mag_lim= 24.78 +# +rates= 6.00 8.00 +function= square +square_param= 0.863195181 1.08388867E-02 24.7044296 0.136396363 +# Goodness of fit (reduced chi^2): 1.871 +# +# Limiting magnitude of the block +mag_lim= 24.67 +# +rates= 8.00 10.00 +function= square +square_param= 0.843950450 1.24595305E-02 24.6312561 0.145581514 +# Goodness of fit (reduced chi^2): 1.763 +# +# Limiting magnitude of the block +#mag_lim= 24.58 +mag_lim= 24.48 +# +rates= 10.00 12.00 +function= square +square_param= 0.812560320 1.14012510E-02 24.5263748 0.131260082 +# Goodness of fit (reduced chi^2): 2.618 +# +# Limiting magnitude of the block +#mag_lim= 24.47 +mag_lim= 24.37 +# +rates= 12.00 15.00 +function= square +square_param= 0.784676313 1.28535815E-02 24.3943558 0.145704076 +# Goodness of fit (reduced chi^2): 1.097 +# +# Limiting magnitude of the block +#mag_lim= 24.32 +mag_lim= 24.22 +# diff --git a/src/ossssim/Characterizations/All_Surveys/2015BD.eff b/src/ossssim/Characterizations/All_Surveys/2015BD.eff new file mode 100644 index 0000000..a420128 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/2015BD.eff @@ -0,0 +1,73 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.02 0.22 25.0 -0.02 24.5 -0.2 +# +phot_frac= 0.129 0.279 0.592 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.952559114 7.21653039E-03 25.2269707 0.151720747 +# Goodness of fit (reduced chi^2): 1.411 +# +# Limiting magnitude of the block +mag_lim= 25.23 +# +rates= 2.00 6.00 +function= square +square_param= 0.930487275 9.34686325E-03 25.1766472 0.171281680 +# Goodness of fit (reduced chi^2): 0.790 +# +# Limiting magnitude of the block +#mag_lim= 25.16 +mag_lim= 25.15 +# +rates= 6.00 8.00 +function= square +square_param= 0.909285843 1.10610612E-02 25.0602646 0.155915767 +# Goodness of fit (reduced chi^2): 1.511 +# +# Limiting magnitude of the block +mag_lim= 25.03 +# +rates= 8.00 10.00 +function= square +square_param= 0.889755666 1.15875900E-02 24.9648933 0.160667822 +# Goodness of fit (reduced chi^2): 1.838 +# +# Limiting magnitude of the block +#mag_lim= 24.92 +mag_lim= 24.82 +# +rates= 10.00 12.00 +function= square +square_param= 0.877756357 1.17960759E-02 24.8429909 0.153235033 +# Goodness of fit (reduced chi^2): 2.457 +# +# Limiting magnitude of the block +#mag_lim= 24.80 +mag_lim= 24.70 +# +rates= 12.00 15.00 +function= square +square_param= 0.852235436 1.44369807E-02 24.6762257 0.158442006 +# Goodness of fit (reduced chi^2): 1.905 +# +# Limiting magnitude of the block +#mag_lim= 24.61 +mag_lim= 24.51 +# diff --git a/src/ossssim/Characterizations/All_Surveys/2015BS.eff b/src/ossssim/Characterizations/All_Surveys/2015BS.eff new file mode 100644 index 0000000..4ecce61 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/2015BS.eff @@ -0,0 +1,73 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.06 0.088 23.65 -0.09 24.5 -0.16 +# +phot_frac= 0.176 0.162 0.662 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.959340930 6.62358711E-03 25.3835297 0.206354752 +# Goodness of fit (reduced chi^2): 1.842 +# +# Limiting magnitude of the block +mag_lim= 25.39 +# +rates= 2.00 6.00 +function= square +square_param= 0.935269296 7.23091885E-03 25.3351059 0.198516250 +# Goodness of fit (reduced chi^2): 0.994 +# +# Limiting magnitude of the block +#mag_lim= 25.33 +mag_lim= 25.15 +# +rates= 6.00 8.00 +function= square +square_param= 0.916525841 7.48339947E-03 25.2458649 0.186383575 +# Goodness of fit (reduced chi^2): 1.105 +# +# Limiting magnitude of the block +mag_lim= 25.23 +# +rates= 8.00 10.00 +function= square +square_param= 0.907858610 9.18652676E-03 25.1958694 0.181990102 +# Goodness of fit (reduced chi^2): 1.180 +# +# Limiting magnitude of the block +#mag_lim= 25.17 +mag_lim= 25.07 +# +rates= 10.00 12.00 +function= square +square_param= 0.896520257 9.09573119E-03 25.1039543 0.170556724 +# Goodness of fit (reduced chi^2): 1.060 +# +# Limiting magnitude of the block +#mag_lim= 25.07 +mag_lim= 24.97 +# +rates= 12.00 15.00 +function= square +square_param= 0.871073961 1.04473457E-02 24.9980659 0.169737995 +# Goodness of fit (reduced chi^2): 0.928 +# +# Limiting magnitude of the block +#mag_lim= 24.95 +mag_lim= 24.85 +# diff --git a/src/ossssim/Characterizations/All_Surveys/2015BT.eff b/src/ossssim/Characterizations/All_Surveys/2015BT.eff new file mode 100644 index 0000000..d59de0a --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/2015BT.eff @@ -0,0 +1,73 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.05 0.12 23.6 -0.1 24.5 -0.3 +# +phot_frac= 0.111 0.333 0.556 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.779432952 9.55713075E-03 25.0930557 0.154308304 +# Goodness of fit (reduced chi^2): 1.206 +# +# Limiting magnitude of the block +mag_lim= 25.00 +# +rates= 2.00 6.00 +function= square +square_param= 0.733703613 7.04801176E-03 25.0357132 0.176427126 +# Goodness of fit (reduced chi^2): 1.006 +# +# Limiting magnitude of the block +#mag_lim= 24.93 +mag_lim= 24.97 +# +rates= 6.00 8.00 +function= square +square_param= 0.704545498 7.21824309E-03 24.9767361 0.179162621 +# Goodness of fit (reduced chi^2): 0.794 +# +# Limiting magnitude of the block +mag_lim= 24.85 +# +rates= 8.00 10.00 +function= square +square_param= 0.682164788 6.79409411E-03 24.9148598 0.169436932 +# Goodness of fit (reduced chi^2): 1.131 +# +# Limiting magnitude of the block +#mag_lim= 24.78 +mag_lim= 24.68 +# +rates= 10.00 12.00 +function= square +square_param= 0.680245638 9.88271739E-03 24.8708954 0.168957204 +# Goodness of fit (reduced chi^2): 0.803 +# +# Limiting magnitude of the block +#mag_lim= 24.69 +mag_lim= 24.59 +# +rates= 12.00 15.00 +function= square +square_param= 0.654836535 9.64413211E-03 24.7750816 0.175563812 +# Goodness of fit (reduced chi^2): 1.331 +# +# Limiting magnitude of the block +#mag_lim= 24.57 +mag_lim= 24.47 +# diff --git a/src/ossssim/Characterizations/All_Surveys/All_Surveys_v11.CDS b/src/ossssim/Characterizations/All_Surveys/All_Surveys_v11.CDS new file mode 100644 index 0000000..2c3dd9d --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/All_Surveys_v11.CDS @@ -0,0 +1,1247 @@ +Title: The Outer Solar System Origins Survey: +Authors: Bannister M.T., Kavelaars J.J., Petit J.-M., Gladman B.J., Gwyn S.D.J., +Table: Orbit and discovery properties of the characterized OSSOS objects +================================================================================ +Byte-by-byte Description of file: All_Surveys_v11.CDS +-------------------------------------------------------------------------------- + Bytes Format Units Label Explanation (with possible notes) +-------------------------------------------------------------------------------- + 1- 3 A3 --- cl Orbital population/class (1) + 5- 5 A1 --- p Possibly additional information based on + class + IF cl=cent OR sca OR det: + no information ('x') + IF cl=res: + U or N indicating MMR planet (2) + IF cl=cla, portion of classical belt is + indicated as: + i : inner (a < a_(3:2 resonance) ) + m : inner (a_(3:2 resonance) < a + < a_(2:1 resonance) ) + o : outer (a < a_(2:1 resonance) ) + and not detached + 7- 9 I3 --- j Resonant object is in the j : k resonance + (-1 is null) + 11- 13 I3 --- k Resonant object is in the j : k resonance + (-1 is null) + 15- 16 A2 --- sh [ISH] Orbit classification status (3) + 18- 27 A10 --- object Object identifier/designation (4) + See ossos-survey.org/tnodb for a + correspondence list to MPC + 29- 33 F5.2 mag mag Cleaned mean magnitude DURING DISCOVERY + Cleaned = flagged photometry not part of + average + 35- 39 F5.3 mag e_mag Uncertainty in magnitude + (applies to Hsur also) + 41- 41 A1 --- Filt Filter used in discovery observation + 43- 47 F5.2 mag Hsur Surmised Absolute magnitude H, in + discovery filter + 49- 55 F7.3 AU dist Object distance at discovery (5) + 57- 63 F7.3 AU e_dist Uncertainty in dist (6) + 65- 68 I4 --- Nobs Number of observations available + 70- 78 F9.4 years time Length of measured orbital arc + (last-first observation) + 80- 85 F6.3 arcsec av-xres Mean orbit-fit residual, RA + 87- 92 F6.3 arcsec av-yres Mean orbit-fit residual, DEC + 94- 99 F6.3 arcsec max-x Maximum orbit-fit residual, RA + 101-106 F6.3 arcsec max-y Maximum orbit-fit residual, DEC + 108-118 F11.6 AU a Semimajor axis (5) + 120-129 F10.4 AU e_a Uncertainty in a (6) + 131-139 F9.6 --- e Orbital eccentricity (5) + 141-149 F9.6 --- e_e Uncertainty in e (6) + 151-157 F7.3 deg i Inclination to the ecliptic (5) + 159-165 F7.3 deg e_i Uncertainty in i (6) + 167-174 F8.3 deg Omega Longitude of ascending node + 176-182 F7.3 deg e_Omega Uncertainty in Omega + 184-191 F8.3 deg omega Argument of perihelion + 193-201 F9.3 deg e_omega Uncertainty in omega + 203-212 F10.3 d tperi Modified Julian Date of osculating + perihelion passage + 214-223 F10.3 d e_tperi Uncertainty in tperi + 225-231 F7.3 deg RAdeg Right ascension (J2000) at mean equinox of + discovery + 233-239 F7.3 deg DEdeg Declination (J2000) at mean equinox of + discovery + 241-253 F13.5 d JD Central Julian Date of of first discovery + image + 255-259 F5.2 arcsec/h rate Angular rate of sky motion at discovery + 261-267 A7 --- MPC Compact MPC designation +-------------------------------------------------------------------------------- +Note (1): Orbital population/Dynamical class, based on scheme from + Gladman et al. (2008), "Solar System beyond Neptune" + cen = centaur + sca = scattering disk object + cla = classical belt + res = in mean-motion resonance + det = detached object ( a>a_(2:1) and e>0.24 and non-resonant and + non-scattering ) + jco = Jupiter Coupled +Note (2): Mean-motion resonance occupancy is checked for planets [U]ranus and + [N]eptune. +Note (3): Orbit classification status: + First character: + I = the orbit classification is currently insecure; + or + S = the orbit classification is secure. + Optional second character + H = human operator intervened and set the given orbit security status +Note (4): Survey designations here based on their OSSOS discovery, with a format + "o" for OSSOS, the last digit of the year in which the object was discovered + by OSSOS (3-6), the block ID letter (e,o) and the sequential number to give + unique identifiers, "PD" indicates previous discovery. + Object beginning "KO2" are Presurvey objects (Jones et al 2006, Icarus) + Object beginning "L" are CFEPS objects (Petit et al 2011, AJ)) + Object beginning "HL" are Hilat Survey objects (Petit et al 2016, AJ)) + Object beginning "ma" are from the PhD thesis of (Alexandersen et al + 2016, AJ)) +Note (5): J2000 ecliptic barycentric coordinates. +Note (6): Uncertainties from the covariance matrix of the orbital parameter + confidence regions as determined by the method described in + Bernstein and Khushalani (2000). +-------------------------------------------------------------------------------- +sca x -1 -1 S o3e01 21.50 0.087 r 7.73 23.291 0.000 120 15.1322 0.083 0.073 0.311 0.343 34.419111 0.0012 0.589613 0.000009 7.711 0.000 32.982 0.000 275.186 0.002 62220.913 0.038 213.148 -13.587 2456386.92978 4.87 K02GG6G +res N 3 2 S o3e02 23.34 0.140 r 8.32 31.080 0.001 32 3.2522 0.047 0.052 0.187 0.134 39.440179 0.0041 0.228123 0.000131 13.468 0.000 35.741 0.000 152.551 0.047 52153.805 6.812 213.839 -13.500 2456386.94170 3.73 K13GD7H +res N 3 2 S o3e03 23.72 0.109 r 8.70 31.131 0.000 29 4.1449 0.092 0.052 0.195 0.207 39.334897 0.0052 0.256758 0.000153 3.866 0.000 31.386 0.001 136.792 0.022 49608.799 2.481 211.891 -13.064 2456386.91785 3.68 K13GD7E +res N 3 2 S o3e04 23.39 0.163 r 8.25 32.136 0.000 29 3.1756 0.059 0.050 0.253 0.320 39.495980 0.0043 0.266711 0.000188 16.873 0.000 42.491 0.000 230.926 0.036 65131.641 3.559 214.699 -11.658 2456391.88210 3.72 K13GD7J +res N 2 1 S o3e05 22.69 0.066 r 7.42 33.001 0.001 31 2.1187 0.044 0.047 0.139 0.093 47.744356 0.0099 0.344105 0.000246 6.660 0.001 219.318 0.000 35.600 0.060 62234.242 8.108 216.271 -14.536 2456391.88613 3.40 K13GD6W +res N 3 2 S o3e06 24.03 0.309 r 8.59 34.357 0.001 36 2.0422 0.110 0.103 0.432 0.463 39.258556 0.0083 0.199499 0.000505 10.440 0.001 44.493 0.000 235.115 0.091 66946.358 10.054 217.397 -13.633 2456391.90177 3.27 K13GD7L +res N 3 2 S o3e07 24.06 0.162 r 8.52 35.160 0.001 25 1.3764 0.097 0.102 0.425 0.453 39.333143 0.0184 0.135343 0.001629 2.392 0.001 96.067 0.023 74.042 0.699 47992.924 118.516 212.643 -10.849 2456386.93770 3.51 K13GD7G +res N 3 2 S o3e08 24.02 0.130 r 8.45 35.413 0.001 34 4.2867 0.069 0.071 0.235 0.230 39.371591 0.0028 0.103683 0.000078 6.942 0.000 204.436 0.000 352.259 0.091 53206.618 18.199 210.956 -11.526 2456386.90980 3.41 K13GD7D +res N 5 2 S o3e09 22.94 0.051 r 7.32 35.765 0.001 38 2.1189 0.059 0.058 0.268 0.329 55.536335 0.0202 0.414113 0.000368 10.877 0.001 221.020 0.000 43.984 0.055 64191.070 6.648 216.853 -15.028 2456391.89790 3.24 K13GD6Y +cla i -1 -1 S o3e10 23.73 0.187 r 8.00 36.716 0.001 31 2.1218 0.089 0.088 0.294 0.433 38.768244 0.0054 0.060387 0.000503 24.276 0.001 39.138 0.000 148.820 0.691 49757.641 146.549 216.728 -14.223 2456391.89790 3.36 K13GD6O +sca x -1 -1 S o3e11 23.60 0.098 r 7.86 36.851 0.001 33 4.1367 0.083 0.166 0.160 0.253 86.736041 0.0210 0.609305 0.000107 18.362 0.000 213.926 0.000 36.549 0.014 62736.013 1.897 210.617 -12.965 2456386.90583 3.23 K13GD6Z +res N 3 2 S o3e12 23.90 0.134 r 8.11 37.246 0.001 37 1.9632 0.101 0.109 0.320 0.349 39.556783 0.0107 0.156869 0.000795 14.679 0.001 35.789 0.000 101.826 0.063 41302.829 3.468 212.805 -12.830 2456386.92978 3.18 K13GD7F +res N 16 9 IH o3e13 23.72 0.113 r 7.86 37.877 0.001 34 4.2869 0.114 0.162 0.220 0.378 44.118257 0.0041 0.167468 0.000149 8.318 0.000 49.169 0.001 125.890 0.055 48297.846 10.310 212.216 -10.496 2456386.92583 3.12 K13GD6U +cla m -1 -1 S o3e15 23.86 0.150 r 7.87 39.055 0.001 27 1.8894 0.105 0.097 0.245 0.263 43.932301 0.0050 0.113549 0.000268 5.420 0.001 57.011 0.004 146.669 0.485 53218.946 112.418 216.041 -12.328 2456391.89399 3.18 K13GD8D +cla m -1 -1 S o3e16 23.47 0.142 r 7.44 39.491 0.001 27 2.1218 0.057 0.064 0.238 0.142 43.865613 0.0052 0.099767 0.000084 2.595 0.000 95.871 0.018 120.985 0.660 56797.205 157.995 214.076 -11.197 2456391.87047 3.08 K13GD7S +cla m -1 -1 IH o3e17 24.00 0.140 r 7.85 40.609 0.001 34 4.2242 0.114 0.078 0.336 0.277 41.097734 0.0032 0.034898 0.000250 7.451 0.000 216.046 0.000 288.779 0.114 38169.437 24.570 214.917 -13.830 2456391.87434 2.96 K13GD6V +cla m -1 -1 S o3e18 23.87 0.364 r 7.69 40.893 0.001 28 4.2269 0.099 0.088 0.310 0.238 41.441841 0.0060 0.048136 0.000484 21.116 0.001 212.131 0.000 288.248 0.071 37078.442 14.629 215.455 -12.182 2456391.89399 3.04 K13GD7Z +res N 7 4 S o3e19 23.40 0.098 r 7.20 41.042 0.001 28 4.1532 0.105 0.080 0.211 0.240 43.646726 0.0035 0.076386 0.000202 1.645 0.000 198.739 0.005 55.544 0.229 66883.277 55.024 211.186 -12.217 2456386.90583 2.96 K13GD6R +cla m -1 -1 S o3e20PD 23.09 0.215 r 6.82 41.568 0.001 54 15.9186 0.120 0.043 0.251 0.172 43.237096 0.0034 0.039490 0.000059 1.171 0.000 56.759 0.002 171.768 0.027 59765.942 7.205 214.170 -13.232 2456386.94170 2.81 K01FI5K +cla m -1 -1 S o3e21 23.40 0.093 r 7.12 41.693 0.001 32 4.1367 0.061 0.056 0.306 0.212 45.685486 0.0075 0.131261 0.000302 2.848 0.000 90.464 0.007 69.726 0.070 43035.565 13.225 213.386 -10.854 2456386.93770 2.97 K13GD7Q +cla m -1 -1 S o3e22 22.97 0.093 r 6.70 41.715 0.001 39 4.1394 0.076 0.057 0.411 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0.278 39.579688 0.0065 0.150948 0.000138 13.310 0.000 25.757 0.000 220.700 0.071 61092.575 12.143 202.218 -8.906 2453121.82777 3.68 K04H78Z +res N 3 2 S L4h09PD 21.26 0.123 g 6.67 28.512 0.000 53 15.1348 0.364 0.635 0.378 0.675 39.351847 0.0027 0.281203 0.000041 10.815 0.000 26.099 0.000 195.131 0.002 55212.852 0.273 203.567 -9.770 2453121.83060 4.10 K00GH1N +res N 3 2 S L4h10PD 22.98 0.105 g 8.01 31.110 0.000 35 9.1536 0.166 0.100 0.270 0.416 39.520906 0.0028 0.251967 0.000037 4.814 0.000 186.666 0.000 60.185 0.007 59327.429 0.986 204.015 -8.268 2453121.83202 4.09 J95H05M +res N 15 8 I L4h11 23.01 0.084 g 7.25 37.377 0.002 20 5.1552 0.137 0.233 0.211 0.462 45.741623 0.0121 0.229706 0.000118 11.670 0.000 32.824 0.000 219.032 0.066 62304.299 11.424 204.258 -8.523 2453121.83202 3.26 K04H79N +cla m -1 -1 S L4h12 23.96 0.157 g 7.77 41.302 0.002 16 2.0204 0.094 0.195 0.290 0.604 43.887907 0.0111 0.078000 0.000872 1.946 0.001 68.976 0.020 181.504 0.649 64323.724 154.329 204.882 -8.896 2453121.83202 3.01 K04H79K +res N 4 3 S L4h14 23.55 0.171 g 7.72 37.989 0.003 15 2.8232 0.101 0.213 0.205 0.547 36.441149 0.0054 0.079432 0.000758 1.172 0.001 195.906 0.009 244.355 0.288 26694.446 62.728 204.264 -9.868 2453121.83344 3.31 K04H79M +res N 3 2 S L4h15 24.05 0.052 g 8.98 31.964 0.001 13 2.1764 0.163 0.118 0.343 0.191 39.259977 0.0110 0.228623 0.000752 2.661 0.001 62.609 0.009 188.810 0.255 60104.012 33.975 205.635 -8.922 2453121.83486 3.89 K04H79B +cla m -1 -1 S L4h16 24.04 0.445 g 7.99 40.044 0.002 15 5.1552 0.165 0.132 0.625 0.373 42.108694 0.0086 0.073510 0.000224 16.757 0.001 202.495 0.000 313.366 0.136 40644.890 30.048 205.385 -9.024 2453121.83486 3.35 K04H79L +res N 2 1 S L4h18 23.16 0.155 g 7.17 39.515 0.001 18 5.1549 0.233 0.249 0.358 0.621 47.596917 0.0069 0.183631 0.000082 2.252 0.000 174.003 0.007 60.615 0.098 59240.016 21.449 206.060 -9.408 2453121.83769 3.19 K04H79P +det x -1 -1 I L4h21 23.75 0.046 g 8.11 36.551 0.002 15 2.8232 0.041 0.090 0.202 0.133 63.298805 0.0212 0.422638 0.000171 6.473 0.001 37.237 0.001 173.572 0.079 53433.612 14.907 207.282 -10.240 2453121.84052 3.25 K04H79Q +cla m -1 -1 S L4j01 23.80 0.254 g 7.75 39.971 0.004 16 3.0581 0.092 0.233 0.311 0.499 44.316254 0.0137 0.098046 0.000191 3.089 0.001 62.816 0.003 162.916 0.515 53080.915 125.824 223.986 -15.795 2453120.92986 2.79 K04H79E +cla m -1 -1 S L4j02 23.38 0.086 g 7.06 42.419 0.002 17 2.1081 0.111 0.123 0.433 0.288 43.269131 0.0059 0.025466 0.000931 1.484 0.001 76.660 0.021 190.800 2.624 64247.339 708.897 225.074 -16.282 2453120.93410 2.81 K04H79F +cla m -1 -1 S L4j03 23.81 0.097 g 7.41 43.205 0.002 17 2.1081 0.066 0.148 0.218 0.316 44.199894 0.0062 0.022980 0.000296 3.595 0.001 56.314 0.003 182.834 3.891 56531.438 1106.017 225.157 -16.478 2453120.93410 3.02 K04H79G +cla m -1 -1 S L4j05 23.53 0.091 g 7.58 38.954 0.001 19 4.1276 0.170 0.264 0.499 0.455 46.398509 0.0083 0.160639 0.000131 1.446 0.000 68.459 0.006 156.503 0.108 52349.318 24.600 226.358 -16.888 2453120.93696 3.09 K04H79C +res N 5 2 S L4j06PD 22.14 0.034 g 7.02 32.057 0.001 62 3.0944 0.186 0.070 0.532 0.342 55.386888 0.0075 0.421953 0.000071 1.559 0.000 124.021 0.009 110.669 0.027 53937.727 3.865 227.818 -16.202 2453120.93836 3.79 K02G32P +cla m -1 -1 S L4j07 22.91 0.090 g 6.11 47.329 0.002 15 2.0306 0.110 0.145 0.364 0.608 45.940983 0.0087 0.032046 0.000819 1.305 0.000 159.190 0.060 230.953 3.579 103621.256 1129.554 227.158 -16.336 2453120.93836 2.59 K04H79D +res N 5 2 S L4j08 23.59 0.144 g 7.82 37.260 0.001 22 4.0410 0.076 0.105 0.235 0.360 55.205527 0.0140 0.411661 0.000207 5.624 0.000 53.634 0.000 119.934 0.020 43396.310 1.804 227.589 -17.321 2453120.93977 3.20 K04H79O +cla m -1 -1 S L4j10 23.75 0.214 g 7.34 43.160 0.002 13 2.1081 0.086 0.066 0.176 0.171 43.259250 0.0111 0.060099 0.001648 8.610 0.001 222.345 0.001 99.221 0.103 77460.660 56.074 228.457 -16.718 2453120.94121 2.92 K04H79H +res N 3 2 S L4j11 23.71 0.178 g 8.38 33.566 0.001 20 2.1844 0.093 0.083 0.308 0.226 39.419732 0.0046 0.152697 0.000191 16.272 0.001 228.958 0.000 19.126 0.292 55991.230 52.811 230.613 -17.503 2453120.94688 3.70 K04H78X +cla m -1 -1 S L4j12 23.64 0.063 g 7.32 42.234 0.005 13 2.0255 0.074 0.092 0.141 0.207 44.961294 0.0116 0.060941 0.000320 0.317 0.000 144.489 0.231 93.482 2.074 54728.863 555.724 230.085 -18.058 2453120.94830 2.72 K06J58V +res N 3 2 S L4k01 24.01 0.121 g 7.98 39.476 0.003 16 2.0071 0.110 0.099 0.330 0.246 39.483636 0.0235 0.218587 0.001080 17.156 0.001 43.972 0.000 286.342 0.081 72626.468 33.478 224.346 -18.045 2453149.85457 3.44 K04K19B +cla m -1 -1 S L4k02 23.24 0.056 g 6.89 42.554 0.003 17 4.0380 0.073 0.112 0.155 0.216 44.359851 0.0095 0.049814 0.000302 1.178 0.000 292.435 0.022 258.106 0.452 43096.423 119.111 224.247 -17.971 2453149.85457 2.77 K04K19E +cla m -1 -1 S L4k03 23.58 0.328 g 7.35 41.429 0.003 19 4.0381 0.139 0.131 0.353 0.258 44.122544 0.0111 0.063475 0.000212 0.108 0.000 327.413 0.316 278.068 0.426 57567.580 74.032 225.725 -17.360 2453149.85597 2.99 K04K19F +cla m -1 -1 S L4k04 24.18 0.176 g 7.85 42.363 0.003 16 2.0071 0.076 0.117 0.204 0.283 43.272025 0.0116 0.021635 0.000374 0.963 0.000 298.892 0.061 275.699 3.575 49274.800 986.001 225.512 -18.152 2453149.85737 2.94 K04K19G +xxx x -1 -1 x L4k05nt 23.65 0.173 R 7.86 37.460 3.080 8 0.0467 0.068 0.068 0.144 0.195 39.412234 16.5374 0.167075 1.939700 11.877 5.054 40.381 3.623 106.327 313.658 37190.189 29300.311 225.310 -18.996 2453149.85737 3.31 ------- +xxx x -1 -1 x L4k06nt 24.07 0.169 R 7.66 43.199 3.505 6 0.0467 0.068 0.073 0.154 0.134 44.160314 23.0231 0.481872 0.675221 12.350 6.391 48.008 0.615 297.749 56.142 70951.377 11385.428 226.337 -17.694 2453149.85877 2.70 ------- +sca x -1 -1 S L4k09 23.64 0.237 g 9.33 26.634 0.001 20 1.9386 0.064 0.108 0.209 0.203 30.191945 0.0033 0.185168 0.000291 13.586 0.001 235.598 0.000 295.040 0.075 46035.172 6.237 226.651 -18.947 2453149.86017 4.48 K04K18V +cla m -1 -1 I L4k10 24.32 0.075 g 7.64 46.026 0.002 24 5.8211 0.143 0.109 0.380 0.741 42.388028 0.0056 0.142670 0.000199 4.485 0.000 238.057 0.001 218.956 0.058 19445.363 17.385 227.384 -18.339 2453149.86157 2.69 K04K19K +res N 3 2 S L4k11 23.35 0.179 g 8.50 30.225 0.004 17 3.9539 0.068 0.049 0.175 0.170 39.258064 0.0310 0.236054 0.000477 5.637 0.000 240.601 0.000 6.795 0.076 55614.731 11.267 227.923 -18.843 2453149.86297 4.02 K04K19C +cla m -1 -1 S L4k12 23.12 0.162 g 6.68 43.587 0.002 20 4.9151 0.144 0.183 0.303 0.397 40.771605 0.0064 0.117209 0.000247 35.230 0.001 232.957 0.000 225.437 0.107 21298.918 30.005 227.029 -19.571 2453149.86297 3.04 K04K19H +cla m -1 -1 S L4k13 23.99 0.157 g 7.27 46.510 0.004 17 1.9412 0.087 0.076 0.157 0.253 46.238529 0.0166 0.124640 0.001909 7.035 0.002 238.491 0.001 253.402 0.123 25871.609 53.738 228.851 -18.956 2453149.86576 2.84 K06J58U +res N 5 2 S L4k14 24.05 0.155 g 8.64 34.441 0.002 14 2.0997 0.079 0.114 0.206 0.297 55.418575 0.0221 0.381906 0.000230 22.645 0.001 232.118 0.000 11.183 0.126 55126.852 21.577 229.121 -18.237 2453149.86716 3.61 K04K18Z +cla m -1 -1 S L4k15PD 23.24 0.069 g 7.17 40.146 0.001 23 1.9612 0.110 0.103 0.293 0.290 45.580328 0.0110 0.131303 0.000454 2.294 0.001 49.643 0.002 155.878 0.326 46405.873 74.936 230.955 -18.779 2453149.86996 3.06 K03L07B +res N 2 1 S L4k16 23.99 0.183 g 8.86 32.309 0.001 20 3.9481 0.097 0.141 0.176 0.348 47.659598 0.0112 0.322616 0.000137 5.732 0.000 38.550 0.001 199.229 0.033 53887.264 5.255 230.004 -19.920 2453149.87136 3.81 K04K19L +cla m -1 -1 S L4k17 23.02 0.162 g 7.13 38.510 0.002 16 2.1025 0.089 0.074 0.306 0.158 46.967058 0.0246 0.235428 0.000907 24.421 0.001 236.614 0.000 46.521 0.187 63402.637 29.232 230.613 -19.956 2453149.87136 3.26 K04K19J +cla i -1 -1 S L4k18 23.57 0.084 g 7.64 38.872 0.002 14 3.9482 0.070 0.109 0.162 0.262 38.256763 0.0067 0.017072 0.000157 2.126 0.000 4.705 0.014 68.462 1.032 14731.406 247.781 230.845 -20.290 2453149.87136 3.18 K04K19D +cla m -1 -1 S L4k19 23.79 0.109 g 7.95 38.030 0.002 17 2.1025 0.050 0.104 0.156 0.235 41.470909 0.0107 0.105883 0.000747 20.220 0.001 238.399 0.000 36.968 0.434 62529.739 88.353 230.151 -20.385 2453149.87136 3.31 K05JI6B +res N 2 1 S L4k20 23.93 0.144 g 8.61 33.827 0.002 18 4.0405 0.161 0.143 0.184 0.229 47.719831 0.0146 0.291797 0.000177 1.686 0.000 283.847 0.008 305.739 0.038 52237.178 6.420 231.821 -20.174 2453149.87418 3.54 K04K19M +sca x -1 -1 S L4m01 23.75 0.104 g 8.75 31.360 0.001 17 4.9911 0.221 0.118 0.298 0.261 33.467236 0.0042 0.332719 0.000081 8.205 0.000 289.554 0.000 94.455 0.012 65031.544 1.196 287.022 -23.161 2453181.95953 3.63 K04M08W +res N 3 2 S L4m02 23.41 0.185 g 8.94 27.791 0.001 16 2.3318 0.061 0.048 0.151 0.230 39.344312 0.0084 0.296774 0.000190 12.249 0.000 288.330 0.000 345.011 0.101 51712.312 12.972 286.508 -23.388 2453181.95953 4.16 K04M08S +cla m -1 -1 I L4m03 23.72 0.037 g 7.16 44.911 0.006 12 2.8911 0.106 0.161 0.286 0.388 43.120301 0.0181 0.041955 0.000394 2.239 0.001 87.239 0.010 26.486 1.295 3955.289 370.698 287.576 -23.192 2453181.96094 2.49 K04M08T +cla m -1 -1 S L4m04 23.32 0.131 g 7.33 39.076 0.001 15 3.9532 0.239 0.141 0.648 0.429 47.234126 0.0072 0.175028 0.000115 27.205 0.001 110.244 0.000 193.074 0.087 55715.866 19.654 294.402 -22.474 2453181.96944 2.87 K04M08V +res N 7 4 S L4n03 23.71 0.133 g 7.60 40.482 0.001 23 11.8033 0.080 0.133 0.182 0.367 43.650399 0.0050 0.125184 0.000062 9.727 0.000 110.765 0.000 238.696 0.034 67452.667 7.233 290.051 -21.820 2453208.93884 3.00 K04O15Q +cla m -1 -1 S L4n04 23.65 0.165 g 6.79 48.159 0.002 18 2.8939 0.015 0.094 0.075 0.163 44.856425 0.0096 0.081796 0.000597 3.580 0.001 109.745 0.000 336.428 0.636 99552.576 192.305 291.428 -21.996 2453208.94048 2.59 K04M08U +det x -1 -1 I L4n05 23.58 0.112 g 7.84 37.257 0.002 20 3.7838 0.078 0.109 0.343 0.388 56.248318 0.0187 0.338819 0.000194 6.919 0.000 285.221 0.001 13.015 0.038 54561.760 7.512 292.732 -21.018 2453208.94263 3.32 K04O15R +det x -1 -1 S L4n06 23.62 0.087 g 7.65 39.503 0.001 18 3.8766 0.070 0.098 0.206 0.330 55.760383 0.0147 0.316669 0.000198 4.248 0.001 123.603 0.001 202.815 0.046 59917.416 8.906 296.606 -20.520 2453208.94916 3.03 K04O15S +cla i -1 -1 I L4o01 23.02 0.067 g 7.08 38.723 0.002 16 3.7757 0.073 0.114 0.115 0.189 38.584206 0.0076 0.055319 0.000268 22.946 0.001 289.181 0.000 93.422 0.162 75219.294 45.259 287.058 -23.909 2453210.93076 3.19 K04O15P +cla m -1 -1 S L4p01 23.90 0.131 g 7.45 43.593 0.002 16 3.0853 0.119 0.079 0.340 0.256 42.983289 0.0065 0.041150 0.000599 1.238 0.001 0.123 0.030 194.781 0.372 22382.759 108.323 309.587 -19.519 2453232.83672 2.74 K04PB7T +cla m -1 -1 S L4p02 23.82 0.250 g 7.48 42.426 0.003 14 1.9438 0.100 0.139 0.204 0.302 42.817224 0.0089 0.014613 0.001012 1.874 0.000 23.106 0.036 336.275 3.113 67635.066 843.949 309.899 -20.320 2453232.83672 3.02 K04PB7U +cla m -1 -1 S L4p03 23.14 0.120 g 7.12 39.489 0.002 20 1.7170 0.056 0.137 0.132 0.364 46.068915 0.0168 0.153431 0.000416 4.324 0.001 329.217 0.005 314.285 0.285 47460.460 63.668 310.922 -19.770 2453232.84003 2.91 K04PB7V +det x -1 -1 S L4p04PD 22.03 0.015 g 6.24 37.574 0.001 29 4.9803 0.063 0.092 0.267 0.500 54.318332 0.0084 0.342164 0.000118 18.416 0.000 127.354 0.000 147.449 0.020 46245.218 3.343 313.190 -18.746 2453232.84665 3.27 K00P30E +cla m -1 -1 S L4p05 23.59 0.089 g 6.92 45.988 0.002 16 3.8112 0.109 0.095 0.176 0.249 43.620105 0.0084 0.060230 0.000220 1.862 0.001 81.353 0.019 72.886 0.340 8593.727 99.310 312.552 -19.196 2453232.84665 2.69 K04PB7W +cla m -1 -1 S L4p06PD 22.35 0.117 g 6.00 42.753 0.001 48 3.9377 0.114 0.045 0.168 0.322 43.835336 0.0041 0.083322 0.000272 1.547 0.000 108.746 0.006 125.789 0.045 33162.360 7.369 314.288 -17.891 2453232.85161 2.86 K01QT7Y +sca x -1 -1 S L4p07 22.41 0.345 g 7.66 29.586 0.001 19 4.8516 0.083 0.073 0.154 0.150 39.953648 0.0120 0.280856 0.000217 23.545 0.000 130.074 0.000 152.442 0.014 49048.719 1.681 314.402 -18.144 2453232.85326 4.16 K04PB7Y +cla m -1 -1 S L4p08PD 23.75 0.206 g 7.49 41.975 0.002 19 4.1811 0.054 0.083 0.347 0.215 44.282728 0.0085 0.064421 0.000215 1.856 0.000 15.978 0.014 258.683 0.307 43125.412 78.154 315.620 -18.637 2453232.85657 3.18 K01QT7Z +cla m -1 -1 S L4p09 23.51 0.077 g 6.84 46.149 0.003 14 1.9278 0.079 0.087 0.246 0.208 44.260877 0.0265 0.099653 0.001620 3.747 0.001 120.092 0.006 73.199 0.678 20334.037 217.503 316.202 -17.643 2453232.85823 2.83 K04PB7X +cla m -1 -1 I L4q03 23.57 0.068 g 7.45 40.574 0.002 23 4.9311 0.171 0.221 0.322 0.408 43.030054 0.0050 0.114461 0.000165 23.863 0.000 135.276 0.000 114.532 0.065 37667.401 11.767 317.960 -16.398 2453236.84857 3.26 K04Q29D +cla m -1 -1 S L4q05 23.51 0.081 g 7.75 37.465 0.003 12 1.9169 0.135 0.088 0.345 0.151 40.877929 0.0090 0.083725 0.000158 24.125 0.001 317.865 0.000 355.066 0.887 52185.708 197.943 319.881 -15.710 2453236.85603 3.22 K04Q29E +cla o -1 -1 S L4q06 24.02 0.266 g 8.23 37.784 0.003 12 1.9169 0.081 0.136 0.184 0.300 48.479526 0.0144 0.235173 0.000554 27.134 0.001 319.895 0.000 333.670 0.302 47898.851 59.379 321.564 -15.450 2453236.86256 3.46 K04Q29G +cla m -1 -1 S L4q09 24.11 0.153 g 7.50 45.741 0.004 15 1.9168 0.097 0.204 0.187 0.505 46.518611 0.0098 0.022323 0.001189 4.594 0.001 330.618 0.003 308.387 3.699 40159.245 1120.005 323.899 -15.127 2453236.86907 2.80 K00P30D +cla i -1 -1 S L4q10 23.66 0.163 g 7.85 38.123 0.001 40 9.2065 0.069 0.160 0.292 0.375 38.026517 0.0033 0.025239 0.000046 4.000 0.000 127.498 0.001 292.300 0.145 75664.562 37.073 325.156 -15.044 2453236.87071 3.37 J99O04J +cla m -1 -1 I L4q11 23.94 0.157 g 7.50 44.046 0.001 35 8.1663 0.165 0.139 0.479 0.396 45.984694 0.0056 0.120138 0.000093 2.088 0.000 113.802 0.003 132.565 0.044 33314.552 9.294 325.007 -15.045 2453236.87071 3.15 J99O04M +cla i -1 -1 S L4q12PD 24.11 0.094 g 8.49 36.522 0.004 20 5.0842 0.037 0.121 0.152 0.278 37.821855 0.0148 0.034975 0.000271 4.458 0.000 126.853 0.001 206.543 0.342 55680.276 75.066 324.879 -15.294 2453236.87071 3.42 K00O51B +res N 11 5 I L4q14 23.54 0.052 g 7.54 39.866 0.003 19 2.1761 0.204 0.499 0.797 0.840 50.859008 0.0291 0.229217 0.000961 12.010 0.001 326.678 0.000 20.084 0.513 58776.966 111.518 325.005 -14.939 2453236.87071 3.05 K04Q29H +cla m -1 -1 S L4q15 24.08 0.277 g 7.97 40.892 0.002 38 8.1663 0.178 0.350 0.380 0.367 42.640563 0.0063 0.041033 0.000107 3.187 0.000 133.062 0.000 187.231 0.105 52710.489 27.162 324.727 -14.611 2453236.87236 3.13 J99O04N +cla m -1 -1 S L4q16 23.76 0.173 g 7.20 45.248 0.001 61 8.1608 0.050 0.249 0.360 0.325 44.946946 0.0037 0.064780 0.000078 2.660 0.000 134.393 0.000 88.145 0.056 25050.858 20.235 324.537 -14.508 2453236.87236 2.54 K04Q29F +cla m -1 -1 S L4v03 22.85 0.142 g 6.73 40.709 0.003 13 2.0396 0.025 0.083 0.067 0.183 43.951488 0.0165 0.073950 0.000265 0.490 0.000 124.923 0.127 278.952 1.089 54396.073 274.246 37.214 14.165 2453318.88100 3.26 K04VD1C +sca x -1 -1 S L4v04 24.14 0.110 g 9.09 31.848 0.001 14 1.9519 0.136 0.088 0.352 0.275 64.100391 0.0429 0.506381 0.000352 13.642 0.001 42.724 0.000 345.332 0.077 51651.054 11.140 37.073 13.781 2453318.88100 3.98 K04VD1G +res N 5 3 S L4v05 24.10 0.213 g 8.12 39.555 0.002 14 1.9488 0.195 0.210 0.427 0.567 42.296966 0.0258 0.258892 0.001285 5.198 0.001 219.187 0.001 272.421 0.051 70370.404 18.285 38.559 14.937 2453318.88425 3.44 K04VD1E +res N 2 1 S L4v06 23.63 0.171 g 8.50 32.544 0.001 18 1.9488 0.069 0.216 0.180 0.640 47.755360 0.0223 0.330146 0.000406 1.467 0.001 67.536 0.011 312.155 0.111 49880.759 16.773 38.667 14.447 2453318.88425 3.77 K04V78K +res N 3 1 S L4v08 23.92 0.184 g 6.95 49.685 0.002 23 4.0734 0.081 0.154 0.268 0.435 62.193747 0.0553 0.428055 0.000742 8.024 0.001 42.958 0.000 271.531 0.016 33264.625 13.401 39.025 15.049 2453318.88752 2.56 K04VD0U +res N 3 2 S L4v09 23.56 0.085 g 8.14 34.753 0.001 19 4.7750 0.186 0.369 0.397 0.541 39.459616 0.0080 0.208016 0.000145 5.745 0.000 44.431 0.000 291.284 0.032 41945.851 4.582 38.732 14.828 2453318.88752 3.48 K04VD0X +res N 7 4 S L4v10 23.90 0.247 g 7.67 41.971 0.002 23 4.7750 0.202 0.261 0.742 0.526 43.665389 0.0085 0.214605 0.000186 0.817 0.000 246.487 0.013 63.786 0.036 33574.622 7.181 39.620 15.815 2453318.88913 3.18 K04VD1F +sca x -1 -1 S L4v11 24.19 0.239 g 9.94 26.757 0.001 26 2.8394 0.065 0.251 0.257 0.298 60.035908 0.0177 0.629283 0.000144 11.972 0.000 39.623 0.000 308.144 0.012 48042.419 0.406 40.467 16.569 2453318.89236 4.43 K04VD1H +res N 3 2 S L4v12 23.99 0.095 g 9.35 29.172 0.001 28 4.7750 0.160 0.159 0.408 0.653 39.551772 0.0039 0.281562 0.000058 11.582 0.000 40.070 0.000 334.520 0.013 49436.557 1.596 39.873 16.107 2453318.89236 4.61 K04VD0Z +res N 3 2 S L4v13 22.72 0.107 g 7.59 32.762 0.001 28 4.7750 0.101 0.171 0.303 0.374 39.452107 0.0041 0.188190 0.000078 23.923 0.000 46.450 0.000 29.101 0.021 58600.977 3.384 42.535 15.567 2453318.89728 3.99 K04VD0V +cla m -1 -1 S L4v14 23.32 0.109 g 7.16 41.486 0.003 25 2.1847 0.143 0.146 0.415 0.496 46.324366 0.0108 0.122529 0.001291 3.646 0.001 36.126 0.002 333.132 0.886 44415.981 208.027 41.952 16.744 2453318.89893 3.08 K04VD1D +sca x -1 -1 S L4v15 22.47 0.029 g 8.91 22.950 0.000 23 16.4158 0.277 0.220 0.313 0.337 68.385618 0.0181 0.698262 0.000073 14.032 0.000 225.910 0.000 137.746 0.003 50102.308 0.181 42.034 16.519 2453318.89893 5.17 K04VD1M +res N 3 2 S L4v18 22.95 0.223 g 8.41 28.478 0.000 33 4.7750 0.422 0.618 0.438 0.660 39.340357 0.0036 0.276133 0.000057 10.203 0.000 222.369 0.000 180.718 0.012 53431.646 1.583 39.638 15.482 2453318.88913 4.43 K04VD0Y +cla m -1 -1 S L5c02 23.59 0.131 g 7.10 44.246 0.001 20 3.2275 0.144 0.181 0.266 0.482 45.735469 0.0073 0.035346 0.000554 1.791 0.000 40.983 0.024 68.139 1.659 46479.072 480.790 135.629 18.776 2453411.79591 2.99 K06C69H +cla m -1 -1 S L5c03 23.96 0.269 g 7.83 40.768 0.002 15 2.0291 0.211 0.051 0.435 0.160 42.714559 0.0122 0.046659 0.000297 3.084 0.001 103.831 0.009 42.495 2.284 56740.327 586.804 136.108 18.357 2453411.79591 3.13 K05C81E +cla m -1 -1 S L5c06 24.30 0.267 g 7.67 45.810 0.003 15 2.7438 0.108 0.171 0.335 0.323 45.440829 0.0166 0.077212 0.000982 1.185 0.001 356.748 0.031 236.938 0.240 81874.169 87.489 135.799 17.688 2453411.79754 2.93 K07C79Q +cla m -1 -1 S L5c07PD 22.92 0.117 g 6.70 41.664 0.001 29 2.0291 0.200 0.174 0.524 0.533 43.397612 0.0074 0.102835 0.000736 7.869 0.001 318.434 0.000 101.854 0.128 35521.976 16.708 135.522 17.693 2453411.79754 3.19 K05XA0U +res N 5 3 S L5c08 23.59 0.243 g 8.06 35.541 0.001 19 5.1030 0.088 0.319 0.123 0.619 42.174502 0.0053 0.228308 0.000105 17.916 0.000 130.429 0.000 59.435 0.044 63678.250 6.222 135.338 17.796 2453411.79754 3.74 K06C69J +cla m -1 -1 S L5c10PD 24.02 0.051 g 7.73 42.330 0.001 25 6.1631 0.096 0.224 0.183 0.244 45.325142 0.0048 0.066507 0.000076 3.205 0.000 313.356 0.000 187.527 0.124 55270.265 33.480 136.282 16.641 2453411.80078 3.02 J99CB9J +res N 3 2 S L5c11 23.87 0.278 g 7.31 45.199 0.002 15 3.2302 0.143 0.104 0.327 0.411 39.262363 0.0043 0.151580 0.000075 21.344 0.001 317.871 0.000 2.160 0.456 9684.992 112.553 139.121 16.367 2453411.80733 3.06 K05C81D +res N 12 5 S L5c12 22.30 0.021 g 6.70 36.324 0.003 17 4.1829 0.055 0.026 0.170 0.110 53.891995 0.0189 0.346510 0.000482 15.733 0.000 317.033 0.000 151.062 0.148 48161.802 24.671 138.659 16.210 2453411.80733 3.49 K02CM4Y +res N 5 3 S L5c13PD 23.85 0.247 g 7.64 41.806 0.002 24 6.1630 0.047 0.069 0.260 0.234 42.239989 0.0044 0.233872 0.000191 9.757 0.000 127.991 0.000 110.316 0.018 74036.449 5.758 139.960 17.263 2453411.80899 3.10 J99CD1X +cla m -1 -1 S L5c14 23.41 0.091 g 7.74 36.875 0.001 15 3.2302 0.120 0.114 0.189 0.270 47.148903 0.0061 0.218764 0.000104 21.869 0.001 133.275 0.000 357.313 0.131 52110.897 26.834 139.417 17.212 2453411.80899 3.52 K07C79R +det x -1 -1 IH L5c15 24.09 0.113 g 8.34 37.611 0.002 19 5.1030 0.165 0.154 0.322 0.530 55.172539 0.0196 0.318313 0.000212 5.137 0.000 122.792 0.001 15.344 0.042 53582.121 8.589 139.995 16.959 2453411.80899 3.37 K05C81H +cla o -1 -1 I L5c16 23.14 0.122 g 6.64 44.628 0.001 22 11.2333 0.199 0.227 0.454 0.537 53.848777 0.0075 0.237346 0.000068 26.153 0.000 134.664 0.000 56.941 0.027 67196.879 5.629 139.807 16.901 2453411.80899 2.95 K05C81G +cla m -1 -1 S L5c18 23.77 0.064 g 7.46 42.791 0.003 15 2.7438 0.191 0.114 0.475 0.272 44.159105 0.0095 0.035816 0.000379 1.540 0.001 330.284 0.006 135.837 1.194 44756.669 326.402 139.752 16.021 2453411.81064 3.01 K07C79S +res N 7 3 S L5c19PD 24.08 0.075 g 8.50 36.160 0.001 21 5.0248 0.076 0.132 0.234 0.426 53.039909 0.0097 0.389128 0.000104 5.466 0.000 135.182 0.000 310.946 0.023 44677.213 2.822 139.544 15.916 2453411.81064 3.51 K06C69K +cla m -1 -1 I L5c20PD 24.12 0.151 g 7.33 47.707 0.002 24 4.7948 0.102 0.354 0.338 0.926 44.980389 0.0083 0.063039 0.000268 1.687 0.000 66.511 0.018 266.115 0.380 3531.602 115.214 140.531 17.121 2453411.81228 2.80 K02CM4Z +cla m -1 -1 IH L5c21PD 23.75 0.198 g 7.11 46.186 0.002 32 2.0263 0.282 0.255 1.209 1.126 44.126005 0.0080 0.068045 0.000727 3.296 0.001 342.001 0.006 291.972 0.649 92193.042 195.298 140.712 16.798 2453411.81228 2.95 K05ET6E +cla m -1 -1 S L5c22 23.55 0.203 g 7.06 44.605 0.002 17 2.0128 0.108 0.099 0.347 0.188 43.990748 0.0125 0.084744 0.001410 1.389 0.000 26.525 0.044 216.003 0.236 81423.164 78.204 141.083 16.622 2453411.81228 2.97 K07DA1S +res N 4 3 S L5c23 24.19 0.088 g 8.85 34.379 0.001 16 11.2333 0.070 0.122 0.124 0.515 36.473497 0.0073 0.063565 0.000158 0.405 0.000 109.642 0.014 2.007 0.042 48092.807 7.630 141.044 15.460 2453411.81392 3.74 K05C81F +cla m -1 -1 S L5c24PD 23.84 0.398 g 7.54 42.737 0.002 24 8.0088 0.097 0.311 0.377 0.939 44.171950 0.0083 0.065197 0.000095 2.698 0.000 139.273 0.001 295.579 0.138 36481.395 33.989 140.609 15.333 2453411.81392 3.10 J99CF3U +cla m -1 -1 S L5i01 23.71 0.313 g 7.55 40.982 0.003 17 2.0094 0.167 0.182 0.733 0.515 42.777915 0.0064 0.046152 0.000555 3.303 0.001 52.045 0.004 164.791 1.454 46847.807 371.630 240.578 -21.315 2453502.94350 3.09 K06HC3A +cla m -1 -1 I L5i02PD 23.80 0.155 g 7.78 39.589 0.001 27 5.9799 0.079 0.157 0.271 0.214 46.012882 0.0059 0.216135 0.000130 10.460 0.000 61.830 0.000 241.743 0.021 66258.629 3.300 241.748 -21.227 2453502.94678 3.17 K01K76W +cla m -1 -1 S L5i03PD 23.80 0.242 g 7.98 37.695 0.002 21 5.0275 0.186 0.103 0.340 0.317 43.898185 0.0080 0.145688 0.000120 20.726 0.000 245.590 0.000 16.063 0.083 57052.309 17.879 243.858 -21.340 2453502.95334 3.12 K01K77O +det x -1 -1 S L5i04 23.14 0.119 g 7.28 38.099 0.001 19 10.9901 0.017 0.099 0.096 0.225 47.275244 0.0050 0.244201 0.000058 27.251 0.000 63.150 0.000 229.403 0.011 63017.377 2.077 243.610 -22.418 2453502.95497 3.21 K05JI6K +cla m -1 -1 I L5i05 23.71 0.073 g 7.16 44.620 0.017 16 2.9872 0.179 0.063 0.266 0.111 44.077094 0.0468 0.068484 0.001711 2.139 0.001 31.887 0.013 109.705 0.488 24869.436 179.452 243.983 -22.526 2453502.95498 2.73 K05JI5Y +res N 3 2 S L5i06PD 23.13 0.059 g 7.48 36.173 0.001 30 8.2408 0.125 0.024 0.396 0.176 39.507206 0.0030 0.156476 0.000050 15.616 0.000 248.483 0.000 64.744 0.024 66042.918 3.599 246.656 -21.855 2453502.96319 3.29 K01K77Q +cla m -1 -1 S L5i08 23.50 0.090 g 7.21 41.831 0.002 16 2.0094 0.051 0.107 0.158 0.263 44.635916 0.0096 0.094308 0.001026 4.141 0.001 63.766 0.002 238.327 0.564 66861.403 126.884 248.431 -22.403 2453502.96647 2.83 K05JI6J +det x -1 -1 I L5j02 23.28 0.124 g 6.86 43.135 0.003 20 2.9080 0.066 0.395 0.201 0.585 67.354055 0.0466 0.462792 0.000488 22.443 0.001 65.560 0.000 236.833 0.056 66043.022 6.036 239.843 -19.040 2453531.89687 2.60 K05L54C +cla m -1 -1 S L5j03 23.16 0.072 g 6.89 41.643 0.003 16 1.9327 0.089 0.103 0.245 0.187 44.314082 0.0157 0.067189 0.000572 7.919 0.001 70.662 0.001 198.865 1.010 60858.990 259.691 239.362 -19.153 2453531.89687 2.84 K05L54A +cla m -1 -1 IH L5j04 22.56 0.121 g 6.28 41.810 0.003 12 1.9302 0.030 0.082 0.104 0.245 43.689694 0.0170 0.047521 0.000659 3.006 0.001 96.056 0.014 173.227 1.729 60541.746 455.285 240.913 -19.040 2453531.90017 2.86 K05L54B +det x -1 -1 I L5r01 23.70 0.254 g 7.74 39.045 0.002 27 3.8910 0.201 0.099 0.449 0.410 153.761629 0.0904 0.746377 0.000137 20.447 0.000 306.114 0.001 32.537 0.029 52807.928 5.426 337.966 4.135 2453616.80423 3.24 K05R52H +cla m -1 -1 S L5s01PD 20.84 0.021 g 4.35 43.708 0.001 35 23.9200 0.164 0.164 0.201 0.599 42.027544 0.0036 0.106671 0.000028 23.931 0.000 280.095 0.000 309.721 0.032 24235.560 11.119 337.949 15.047 2453616.82908 2.97 K04S60B +det x -1 -1 I L7a02 23.50 0.328 g 7.55 38.903 0.001 17 3.1620 0.071 0.156 0.170 0.263 50.398033 0.0165 0.290541 0.000467 14.295 0.001 317.225 0.000 122.624 0.068 43918.716 9.030 133.743 19.222 2454119.80897 3.23 K06WK6G +sca x -1 -1 S L7a03 23.84 0.016 g 7.11 46.991 0.002 19 2.8476 0.122 0.175 0.411 0.419 59.613266 0.0435 0.439491 0.000646 4.575 0.001 327.938 0.003 248.628 0.014 72028.353 8.442 133.914 18.780 2454119.80897 2.67 K06BS4S +cla m -1 -1 S L7a04PD 23.25 0.101 g 6.08 51.774 0.002 34 7.1297 0.411 0.115 1.059 0.815 46.198229 0.0047 0.146393 0.000132 7.038 0.000 300.707 0.000 337.759 0.075 98884.655 24.333 130.872 17.137 2454119.83928 2.50 K02CO8Y +cla m -1 -1 I L7a05 23.77 0.303 g 7.53 41.807 0.001 21 5.0132 0.194 0.102 0.399 0.248 43.681525 0.0068 0.045164 0.000086 7.981 0.000 116.078 0.001 28.455 0.328 58476.771 87.316 131.253 19.832 2454119.81365 2.91 K05B49V +cla m -1 -1 S L7a06 23.72 0.067 g 7.23 44.357 0.002 19 2.1791 0.138 0.094 0.420 0.329 43.499576 0.0050 0.042456 0.003473 2.056 0.000 58.110 0.027 188.279 2.262 87660.748 660.397 129.885 20.426 2454119.81674 2.99 K06WK6F +cla m -1 -1 S L7a07 23.43 0.249 g 7.19 41.946 0.002 16 5.0131 0.058 0.082 0.143 0.245 44.080188 0.0084 0.078180 0.000200 2.103 0.000 58.990 0.014 121.798 0.192 68074.335 45.044 129.871 20.466 2454119.81674 3.04 K05B49W +res N 4 3 I L7a10 23.65 0.001 g 8.77 30.603 0.001 22 4.9551 0.086 0.513 0.413 0.748 36.657304 0.0040 0.188072 0.000044 17.152 0.000 311.854 0.000 209.680 0.047 59036.161 6.757 132.631 18.432 2454119.81997 4.03 K05GM8H +cla m -1 -1 S L7a11PD 23.27 0.133 g 6.25 49.315 0.001 46 7.0285 0.080 0.199 0.317 0.551 47.045919 0.0037 0.147499 0.000121 19.270 0.000 307.259 0.000 55.594 0.031 18502.074 12.409 129.284 18.767 2454119.82759 2.84 K00CA5O +xxx x -1 -1 x l3f05nt 23.65 0.170 g 7.76 38.554 2.818 4 0.0082 0.092 0.048 0.182 0.094 39.596763 20.7993 0.026636 0.579012 25.893 10.876 189.614 1.437 12.070 1273.444 54828.149 304898.710 192.346 -3.703 2452722.98130 3.41 ------- +xxx x -1 -1 x l3q05nt 23.51 0.126 g 7.05 43.953 2.546 4 0.0113 0.037 0.047 0.074 0.095 44.883509 23.3049 0.021042 0.563063 2.929 0.897 182.053 11.488 136.857 1603.007 49994.199 468808.772 330.193 -10.411 2452882.82951 2.78 ------- +xxx x -1 -1 x l3q07nt 23.92 0.191 g 7.32 45.514 2.692 7 0.0113 0.097 0.173 0.337 0.464 46.563301 24.1731 0.022719 0.562999 15.794 5.791 146.601 1.071 175.265 1487.328 50526.285 457637.527 331.642 -12.503 2452882.83777 3.09 ------- +xxx x -1 -1 x l3w14nt 23.40 0.200 g 8.70 29.280 3.899 3 0.0001 0.047 0.105 0.071 0.158 30.268997 16.2312 0.033226 0.597713 2.316 19.617 254.934 10.260 168.043 1029.129 51291.561 162465.527 71.973 22.456 2452989.82962 4.31 ------- +xxx x -1 -1 x l3w19nt 23.70 0.300 g 7.35 43.087 6.793 3 0.0001 0.003 0.088 0.005 0.132 44.049657 22.8804 0.021980 0.577759 4.588 35.143 269.286 87.246 162.615 1539.601 51244.154 436096.622 76.820 23.804 2452989.83624 3.06 ------- +xxx x -1 -1 x l4h03nt 23.55 0.012 g 7.40 40.734 2.658 4 0.0027 0.035 0.018 0.070 0.036 41.672142 21.7326 0.023342 0.570890 13.885 5.544 24.141 0.870 162.117 1447.748 49013.739 376586.000 200.282 -7.988 2453121.82210 3.02 ------- +xxx x -1 -1 x l4h17nt 23.63 0.063 g 7.17 44.028 2.511 4 0.0027 0.053 0.042 0.104 0.084 44.937717 23.3148 0.020530 0.561849 1.803 0.367 131.367 50.364 67.325 1645.627 50295.181 481672.039 206.782 -9.131 2453121.83769 2.80 ------- +xxx x -1 -1 x l4h19nt 23.72 0.125 g 8.11 36.194 2.778 4 0.0027 0.027 0.046 0.055 0.092 37.260343 19.6963 0.028826 0.583744 24.743 10.469 207.080 0.705 354.511 1179.533 51565.703 256607.743 206.604 -10.224 2453121.83911 3.64 ------- +xxx x -1 -1 x l4k08nt 24.26 0.293 g 9.30 30.923 2.433 4 0.0028 0.093 0.095 0.188 0.190 32.066642 17.1871 0.036509 0.587414 5.357 2.100 36.496 5.423 180.839 938.304 50947.403 160192.019 226.866 -18.917 2453149.86017 4.19 ------- +xxx x -1 -1 x l4o02nt 23.52 0.089 g 7.17 42.566 0.314 7 0.8900 0.053 0.050 0.162 0.078 46.724686 15.1755 0.166455 1.048451 3.694 0.052 309.241 0.326 44.170 176.393 69277.497 23962.027 288.561 -23.769 2453210.93219 2.86 ------- +xxx x -1 -1 x l4q01nt 23.81 0.056 g 7.14 46.109 7.360 3 0.0002 0.054 0.011 0.079 0.017 46.998590 24.3196 0.019420 0.578658 1.181 7.032 56.983 1705.297 245.583 2432.915 49117.179 545591.096 318.250 -17.343 2453236.84692 2.79 ------- +xxx x -1 -1 x l4q02nt 23.76 0.247 g 7.69 40.130 2.868 4 0.0028 0.096 0.088 0.187 0.172 41.048390 21.4778 0.022923 0.577810 22.642 9.483 319.772 2.059 342.291 1475.887 49935.084 375773.502 318.137 -18.098 2453236.84692 3.12 ------- +xxx x -1 -1 x l4q04nt 23.70 0.113 g 7.28 43.550 2.559 5 0.0028 0.167 0.022 0.248 0.048 44.530583 23.1503 0.022441 0.563684 3.251 1.584 122.086 7.009 182.723 1506.146 49948.639 433345.957 318.661 -16.831 2453236.85278 2.84 ------- +xxx x -1 -1 x l4q08nt 23.30 0.110 g 7.67 36.543 5.517 3 0.0002 0.081 0.053 0.122 0.080 37.560311 19.8230 0.027195 0.594165 19.018 29.811 136.724 6.931 178.797 1249.776 52009.942 276080.650 323.542 -15.983 2453236.86744 3.51 ------- +xxx x -1 -1 x l4v07nt 23.62 0.115 g 7.01 45.717 7.800 3 0.0001 0.065 0.019 0.097 0.029 46.683473 24.1816 0.020817 0.579722 9.666 40.663 41.973 2.164 353.447 1621.981 51443.865 503035.907 38.943 15.152 2453318.88752 2.87 ------- +xxx x -1 -1 x l4v16nt 24.30 0.431 g 7.77 44.821 7.426 3 0.0001 0.004 0.044 0.005 0.066 45.787225 23.7375 0.021277 0.578689 5.368 38.262 223.404 22.784 169.364 1587.500 51076.213 477781.355 37.567 15.128 2453318.88264 2.92 ------- +xxx x -1 -1 x l4v17nt 24.19 0.197 g 8.47 37.334 8.357 3 0.0001 0.013 0.030 0.019 0.045 38.324387 20.3225 0.025911 0.638360 36.844 54.296 41.164 1.268 356.583 1310.222 52350.463 299150.168 39.080 15.818 2453318.88913 3.63 ------- +xxx x -1 -1 x l4v19nt 23.99 0.427 g 9.45 28.642 3.759 3 0.0001 0.023 0.074 0.034 0.110 29.663844 15.9788 0.034474 0.599209 4.246 18.815 213.399 51.185 188.953 994.222 52945.777 151680.392 42.478 15.412 2453318.89728 4.46 ------- +xxx x -1 -1 x l5c01nt 24.05 0.554 g 8.29 37.428 3.496 3 0.0003 0.057 0.041 0.085 0.062 38.403409 20.1725 0.025660 0.580622 24.388 17.754 130.311 1.629 353.619 1321.883 51445.275 302827.158 134.801 18.069 2453411.79429 3.46 ------- +xxx x -1 -1 x l5c04nt 24.21 0.332 g 8.39 37.952 3.065 3 0.0003 0.003 0.149 0.004 0.223 38.913248 20.3759 0.024985 0.569537 3.689 12.020 118.559 49.360 6.012 1358.120 51353.302 317403.272 135.871 17.806 2453411.79754 3.41 ------- +xxx x -1 -1 x l7a12nt 23.86 0.127 g 8.62 33.209 2.928 6 0.0002 0.299 0.054 0.486 0.109 34.198990 18.1132 0.029360 0.579510 6.341 11.677 117.519 19.185 20.220 1158.764 56018.485 221512.146 130.759 19.386 2454119.82608 3.79 ------- +cla m -1 -1 S HL6r1 22.97 0.067 r 6.79 40.771 0.002 20 2.8501 0.097 0.110 0.403 0.358 40.385613 0.0077 0.038584 0.000446 21.057 0.001 211.259 0.002 23.279 0.271 27410.864 74.848 337.687 8.367 2453996.92750 3.21 K07RV4L +det x -1 -1 I HL6r2 23.60 0.058 r 7.71 38.188 0.001 26 7.0497 0.140 0.459 0.417 0.796 49.758679 0.0088 0.253884 0.000107 25.048 0.000 310.362 0.000 68.700 0.020 60340.168 4.033 340.771 8.761 2453996.92563 3.18 K06Sf5H +res N 2 1 SH HL6r3 23.27 0.033 r 7.75 35.007 0.001 30 7.0498 0.150 0.235 0.430 0.524 47.931346 0.0064 0.291508 0.000073 31.376 0.000 186.954 0.000 183.080 0.014 59375.076 2.473 339.270 6.329 2453996.90385 3.72 K06Sf5G +det x -1 -1 I HL6r4 22.70 0.173 r 6.33 42.622 0.001 33 7.0389 0.140 0.212 0.328 1.199 70.813767 0.0216 0.484623 0.000155 20.884 0.000 209.422 0.000 75.833 0.009 42557.035 1.431 338.169 7.846 2453996.90574 2.91 K07RV4M +cla m -1 -1 S HL6r5 23.73 0.120 r 7.40 42.266 0.002 17 1.9518 0.148 0.247 0.595 0.424 42.599421 0.0083 0.027342 0.001135 18.517 0.001 208.990 0.003 58.999 0.754 33729.986 175.922 340.182 6.265 2453996.90994 3.02 K06Sf5E +cla m -1 -1 S HL6r6 23.87 0.088 r 7.70 40.713 0.003 16 1.9518 0.080 0.182 0.218 0.310 43.197883 0.0150 0.077006 0.000964 15.712 0.000 269.148 0.005 121.140 0.649 65149.510 150.287 339.971 8.449 2453996.91929 3.06 K06Sf5F +res N 5 1 I HL7c1 23.20 0.058 r 7.17 39.100 0.001 41 6.0402 0.387 0.164 0.496 0.426 87.493815 0.0344 0.618771 0.000160 23.237 0.000 102.286 0.001 9.961 0.005 45267.518 0.478 171.828 26.332 2454180.87722 2.87 K07F51N +cla m -1 -1 S HL7c2 23.00 0.153 r 6.59 42.557 0.001 26 8.0053 0.178 0.126 0.624 0.451 45.547957 0.0086 0.160926 0.000202 29.222 0.000 106.633 0.001 342.223 0.025 36258.601 7.513 171.427 30.686 2454180.90321 2.84 K07F51M +det x -1 -1 IH HL7c3 22.87 0.186 r 6.99 37.562 0.001 24 8.0053 0.355 0.356 0.770 0.763 50.403067 0.0077 0.287912 0.000057 27.945 0.000 43.225 0.000 150.465 0.032 61465.070 5.870 171.843 32.041 2454180.90836 3.39 K07F51O +det x -1 -1 S HL7j1 23.07 0.186 r 7.03 38.848 0.001 23 7.7790 0.094 0.121 0.351 0.402 72.361527 0.0225 0.469690 0.000149 31.540 0.000 137.807 0.000 117.995 0.013 57447.709 2.622 245.439 10.467 2454263.81694 2.97 K07L38J +sca x -1 -1 S HL7j2 23.37 0.033 r 7.50 37.377 0.001 44 8.9070 0.082 0.217 0.591 0.752 133.932936 0.0380 0.725235 0.000074 34.197 0.000 122.926 0.000 130.152 0.004 56974.507 0.602 245.362 10.487 2454263.81694 3.12 K07L38H +res N 5 2 S HL7j3 22.93 0.088 r 7.68 32.219 0.001 34 7.7791 0.126 0.225 0.415 0.614 55.452064 0.0089 0.434019 0.000086 32.579 0.000 139.630 0.000 75.869 0.005 50647.250 0.721 244.922 12.074 2454263.81068 3.71 K07L38G +res N 5 1 I HL7j4 22.53 0.088 r 5.54 48.432 0.001 54 6.0689 0.168 0.104 0.551 0.349 87.569525 0.0275 0.555223 0.000171 35.825 0.000 169.294 0.001 12.737 0.007 39707.498 0.918 246.382 14.100 2454263.82707 2.47 K07L38F +cla o -1 -1 S HL7j5 23.27 0.067 r 6.93 41.799 0.001 24 7.7790 0.265 0.190 0.875 0.494 54.049813 0.0097 0.226754 0.000118 35.966 0.000 193.529 0.001 53.665 0.037 53729.730 9.019 246.549 8.453 2454263.83334 2.91 K07L38E +res N 22 15 I HL7p1 23.20 0.115 r 7.30 37.952 0.001 32 6.0727 0.192 0.335 0.692 0.537 38.817011 0.0032 0.067756 0.000086 25.479 0.000 232.249 0.001 180.436 0.066 70812.984 12.753 331.697 15.292 2454349.80821 3.42 K07RW6Y +res N 17 9 I HL7p2 23.70 0.100 r 8.16 35.127 0.002 17 1.7909 0.083 0.163 0.216 0.535 45.922682 0.0132 0.235493 0.000157 20.500 0.000 264.306 0.003 72.051 0.233 53533.533 43.888 333.496 11.026 2454349.80317 3.43 K07RW6W +cla m -1 -1 S HL7p3 23.30 0.300 r 7.25 39.343 0.001 22 1.7934 0.116 0.168 0.317 0.859 46.096206 0.0074 0.156517 0.000328 25.029 0.000 264.444 0.003 52.385 0.248 48812.282 54.881 331.534 15.030 2454349.80821 3.29 K07RW6X +sca x -1 -1 S HL8a1 22.93 0.233 r 6.29 44.517 0.001 24 7.2032 0.123 0.199 0.595 0.538 32.392864 0.0023 0.374396 0.000085 42.826 0.000 50.544 0.001 253.120 0.043 87750.764 7.420 138.145 60.228 2454473.86123 3.02 K08AD8U +det x -1 -1 S HL8k1 24.57 0.120 r 7.91 44.453 0.001 35 5.1773 0.120 0.242 0.383 0.512 87.348572 0.0203 0.543117 0.000137 48.815 0.000 153.059 0.000 146.559 0.020 64524.370 3.215 263.826 25.038 2454597.98591 2.65 K08J41O +sca x -1 -1 S HL8n1 23.73 0.033 r 8.52 31.849 0.000 48 5.3495 0.108 0.217 0.399 0.510 41.531221 0.0041 0.491379 0.000069 103.447 0.000 260.968 0.000 133.097 0.004 64629.370 0.435 253.643 19.381 2454617.85234 5.12 K08K42V +sca x -1 -1 I HL9m1 21.13 0.088 r 9.57 12.872 0.000 71 4.0303 0.171 0.169 0.278 0.314 348.905416 0.1571 0.968470 0.000014 68.016 0.000 220.228 0.000 128.662 0.000 56335.536 0.011 283.374 48.929 2455007.97918 8.44 K09M09S +cen x -1 -1 I mah01 24.20 0.000 r 10.61 22.432 0.001 19 1.0429 0.084 0.107 0.359 0.288 30.072429 0.0028 0.259122 0.000159 53.886 0.001 20.010 0.001 34.380 0.195 57566.284 18.396 23.809 28.215 2456220.86078 6.11 K12UH7W +res N 1 1 S mah02 23.67 0.067 r 8.89 29.578 0.001 30 1.4614 0.085 0.070 0.231 0.201 30.023515 0.0044 0.072277 0.000854 20.833 0.000 265.668 0.002 204.284 0.104 68166.873 4.907 23.280 28.683 2456220.85652 4.27 K12UH7V +res N 3 2 S mah03 24.37 0.033 r 9.45 30.482 0.002 18 1.2344 0.036 0.055 0.173 0.172 39.303880 0.0103 0.224762 0.000267 21.876 0.001 261.872 0.002 130.578 0.705 56470.979 108.594 24.230 28.805 2456220.86936 4.11 K12UH7G +res N 5 2 I mah04 24.10 0.058 r 8.62 34.429 0.001 25 1.4585 0.062 0.082 0.190 0.299 55.196603 0.0740 0.433338 0.001267 15.632 0.000 298.867 0.003 46.945 0.159 48559.586 16.450 25.969 27.937 2456221.89663 3.61 K12UH7J +res N 11 7 I mah05 22.90 0.000 r 7.22 36.474 0.001 30 1.4643 0.074 0.069 0.185 0.232 40.666012 0.0087 0.116618 0.000780 19.236 0.000 272.168 0.003 147.620 0.643 62316.150 128.432 23.213 28.344 2456220.86078 3.50 K12UH7L +det x -1 -1 IH mah06 24.20 0.100 r 8.48 36.605 0.002 25 1.4665 0.071 0.082 0.207 0.197 56.088975 0.0494 0.366517 0.001076 17.214 0.001 271.782 0.003 92.511 0.325 50735.469 55.269 26.969 27.174 2456221.91369 3.43 K12UH7S +cla m -1 -1 S mah07 22.95 0.050 r 7.25 36.611 0.002 29 1.4667 0.094 0.063 0.279 0.204 43.181427 0.0097 0.158914 0.000614 20.094 0.001 341.291 0.002 71.189 0.652 59873.200 132.287 24.766 28.006 2456220.87365 3.51 K12UH7N +det x -1 -1 I mah08 24.05 0.050 r 8.35 36.784 0.001 25 1.4560 0.086 0.063 0.235 0.156 92.321941 0.1656 0.617263 0.000887 24.852 0.001 251.482 0.002 162.468 0.172 60322.956 26.524 24.334 27.989 2456220.87365 3.41 K12UH7K +res N 17 10 I mah09 24.03 0.088 r 7.94 39.922 0.002 27 1.4585 0.057 0.084 0.245 0.210 42.823392 0.0143 0.098642 0.001688 16.601 0.001 280.170 0.004 59.871 0.781 43723.386 160.589 25.444 27.402 2456221.90089 3.20 K12UH7P +det x -1 -1 I mah10 23.83 0.033 r 7.74 40.257 0.002 26 1.4560 0.088 0.079 0.256 0.177 51.970057 0.0731 0.312457 0.002009 19.603 0.001 330.160 0.003 120.092 0.237 67748.156 25.547 23.463 29.111 2456220.85652 3.23 K12UH7Q +xxx x -1 -1 x mah11nt 24.17 0.088 r 8.27 38.339 4.146 3 0.0002 0.035 0.081 0.052 0.121 39.292151 20.5413 0.024508 0.573417 14.614 3.683 315.660 80.083 87.978 1383.856 58192.717 328501.024 27.428 27.082 2456221.91369 3.29 ------- +cla m -1 -1 S mah12 24.57 0.167 r 8.30 41.687 0.002 19 1.4586 0.077 0.119 0.176 0.288 43.548763 0.0112 0.058274 0.002153 16.177 0.000 287.738 0.006 56.905 2.053 43990.595 504.822 23.641 27.176 2456220.86510 3.23 K12UH7M +cla m -1 -1 IH mah13 24.45 0.150 r 8.11 42.380 0.002 25 1.4560 0.084 0.064 0.255 0.241 41.562084 0.0051 0.035094 0.002027 16.446 0.000 289.959 0.006 336.026 2.382 22542.167 649.401 25.432 28.128 2456221.89663 3.07 K12UH7O +res N 23 6 IH mah14 24.23 0.088 r 7.73 44.388 0.003 26 1.4560 0.072 0.101 0.211 0.230 73.787390 0.3243 0.491581 0.003349 16.353 0.000 291.500 0.006 158.157 0.249 68245.377 18.528 25.403 28.108 2456221.89663 2.90 K12UH7R +res N 3 2 S mah15 24.20 0.200 r 7.55 45.464 0.002 27 1.4559 0.087 0.076 0.204 0.213 39.392371 0.0177 0.190726 0.001195 23.749 0.001 255.149 0.003 346.198 0.626 21340.843 160.100 26.817 28.406 2456221.90942 2.83 K12UH7H +cen x -1 -1 S mal01 22.57 0.033 r 9.56 20.296 0.000 33 1.4722 0.056 0.056 0.137 0.174 19.091885 0.0028 0.176854 0.000395 10.811 0.000 222.498 0.000 287.469 0.068 64381.360 6.862 27.666 13.909 2455858.91192 6.27 K11Q99F +res N 3 2 S mal02 22.30 0.000 r 7.72 28.724 0.000 43 2.0894 0.059 0.085 0.205 0.286 39.270353 0.0035 0.271787 0.000086 4.652 0.000 289.175 0.005 88.353 0.058 54193.649 7.782 25.741 15.740 2455860.78698 4.36 K11Uf1C +res N 3 2 S mal03 24.43 0.088 r 9.83 28.997 0.001 19 2.0893 0.147 0.086 0.344 0.192 39.292648 0.0040 0.262943 0.000069 12.623 0.001 19.330 0.001 15.395 0.084 56688.516 11.806 25.729 12.950 2455858.92047 4.28 K11Uf0U +res N 3 2 S mal04 23.73 0.088 r 9.00 29.828 0.001 29 2.1003 0.104 0.085 0.350 0.173 39.222939 0.0036 0.244589 0.000089 8.645 0.000 237.962 0.002 167.515 0.093 58007.263 13.493 27.509 15.660 2455860.77825 4.19 K11Uf1A +res N 3 2 S mal05 22.50 0.000 r 7.76 29.862 0.001 26 2.1766 0.068 0.092 0.174 0.201 39.420581 0.0069 0.259110 0.000251 4.308 0.000 332.153 0.006 30.141 0.090 51936.278 11.981 25.833 14.710 2455858.92476 4.16 K11Uf0V +res N 3 2 S mal06 24.43 0.033 r 9.58 30.875 0.001 21 2.2693 0.081 0.078 0.193 0.251 39.412004 0.0086 0.268526 0.000376 17.320 0.001 27.050 0.000 50.367 0.086 62610.166 9.943 28.399 12.997 2455858.90763 4.10 K11Uf0R +res N 3 2 S mal07 24.23 0.088 r 9.35 30.974 0.001 26 2.0071 0.090 0.109 0.277 0.227 39.399608 0.0077 0.263650 0.000311 3.246 0.001 10.821 0.004 335.396 0.060 49041.457 6.638 29.834 13.487 2455858.90337 4.05 K11Uf0Q +res N 3 1 S mal08 24.03 0.067 r 9.10 31.226 0.002 21 1.4308 0.082 0.118 0.235 0.323 62.430542 0.0106 0.499834 0.000083 22.040 0.001 24.813 0.000 9.439 0.276 55818.951 39.895 30.317 16.341 2455860.81804 4.12 K11Uf1S +res N 4 3 S mal09 24.03 0.067 r 9.05 31.606 0.001 24 1.4422 0.111 0.100 0.236 0.245 36.433437 0.0029 0.132951 0.000118 6.812 0.001 9.788 0.003 27.400 0.661 56710.041 111.729 28.930 14.694 2455858.93755 4.11 K11Uf2Z +res N 4 3 S mal10 23.30 0.000 r 8.27 31.794 0.003 19 1.2866 0.076 0.047 0.235 0.114 36.527842 0.0090 0.132867 0.001034 5.437 0.000 292.353 0.013 83.477 1.690 53378.397 283.658 26.243 16.801 2455860.79124 4.01 K11Uf3A +xxx x -1 -1 x mal11nt 24.53 0.088 r 9.39 32.811 0.532 11 0.0986 0.072 0.119 0.216 0.319 38.689001 9.7015 0.162268 0.453720 23.421 2.019 25.504 0.674 31.713 247.617 60080.438 41346.486 29.183 15.247 2455860.77399 4.02 K11Uf2U +res N 3 2 S mal12 23.40 0.058 r 8.21 33.293 0.001 32 2.2503 0.069 0.106 0.200 0.215 39.602513 0.0044 0.174956 0.000295 2.733 0.001 241.740 0.006 179.170 0.200 60931.339 33.635 29.633 13.577 2455858.90337 3.86 K11Uf0P +res N 5 3 S mal13 24.20 0.115 r 8.98 33.447 0.002 23 1.4395 0.120 0.094 0.332 0.256 42.340597 0.0069 0.210384 0.000257 3.234 0.000 326.453 0.017 60.998 0.685 55089.831 121.538 28.472 14.910 2455860.77399 3.74 K11Uf1N +res N 5 3 S mal14 23.80 0.058 r 8.50 33.891 0.001 26 1.4395 0.044 0.088 0.140 0.237 42.281965 0.0113 0.206050 0.000596 5.289 0.000 310.100 0.010 98.933 0.518 59267.158 91.169 26.011 16.512 2455860.79124 3.72 K11Uf1O +res N 5 3 S mal15 21.93 0.033 r 6.65 33.939 0.001 27 1.4724 0.073 0.084 0.238 0.258 42.316514 0.0229 0.232786 0.001079 13.424 0.001 219.278 0.001 210.287 0.335 62702.039 50.553 27.593 13.656 2455858.91192 3.74 K10TI2O +res N 3 2 S mal16 24.40 0.058 r 9.09 34.137 0.002 24 1.4313 0.079 0.095 0.210 0.185 39.312316 0.0077 0.136442 0.000669 8.590 0.001 12.404 0.002 2.932 0.844 52510.286 156.619 29.564 15.392 2455860.76973 3.70 K11Uf0Y +res N 3 2 S mal17 23.70 0.058 r 8.26 35.150 0.001 30 4.1122 0.055 0.072 0.158 0.147 39.514146 0.0063 0.255656 0.000193 11.876 0.000 20.577 0.000 290.401 0.011 42909.427 2.622 26.816 13.150 2455858.91621 3.66 K11Uf0S +res N 19 10 I mal18 24.20 0.058 r 8.71 35.636 0.002 18 1.4504 0.079 0.084 0.273 0.217 46.139736 0.0198 0.238570 0.000852 27.041 0.001 214.057 0.000 198.344 0.547 60032.777 101.001 28.279 13.332 2455858.91192 3.62 K11Uf1H +res N 10 3 I mal19 23.03 0.033 r 7.50 35.912 0.001 22 1.4311 0.058 0.066 0.158 0.177 67.321317 0.0771 0.482854 0.000905 16.712 0.001 219.944 0.000 197.547 0.245 60171.077 39.303 30.192 14.549 2455858.94181 3.53 K11Uf2Q +det x -1 -1 I mal20 24.17 0.145 r 8.59 36.158 0.002 20 1.4395 0.076 0.085 0.150 0.202 50.074947 0.0560 0.314096 0.001632 17.873 0.001 15.280 0.001 54.225 0.410 62768.737 64.217 27.182 16.776 2455860.80517 3.56 K11Uf2R +res N 3 2 S mal21 23.70 0.000 r 8.13 36.258 0.001 28 2.1738 0.076 0.108 0.249 0.341 39.404540 0.0192 0.327945 0.000672 17.479 0.001 223.962 0.000 263.515 0.011 70270.678 9.919 29.530 15.825 2455860.76973 3.59 K11Uf0X +res N 2 1 S mal22 24.60 0.100 r 8.99 36.574 0.002 14 1.3792 0.079 0.092 0.283 0.307 47.612442 0.0900 0.319787 0.002696 9.355 0.001 17.099 0.003 73.288 0.321 66099.629 29.818 29.255 14.673 2455858.93755 3.64 K11Uf1E +res N 3 1 IH mal23 24.00 0.058 r 8.32 37.042 0.001 17 4.0383 0.090 0.095 0.220 0.214 61.841493 0.0138 0.433397 0.000152 26.582 0.000 23.364 0.000 45.048 0.041 62204.786 6.453 28.686 16.770 2455860.81377 3.61 K11Uf1R +cla m -1 -1 S mal24 23.43 0.033 r 7.73 37.131 0.002 29 1.4476 0.079 0.081 0.220 0.195 40.737407 0.0071 0.092034 0.000727 26.365 0.001 218.923 0.001 151.607 1.328 51996.797 287.227 25.348 15.742 2455860.78698 3.54 K11Uf2K +res N 2 1 S mal25 24.05 0.050 r 8.34 37.267 0.002 31 1.4313 0.077 0.068 0.316 0.220 47.728107 0.0877 0.344476 0.002377 5.872 0.001 261.775 0.010 195.753 0.174 67591.230 3.849 25.992 15.848 2455860.78698 3.42 K11Uf1F +det x -1 -1 IH mal26 23.80 0.058 r 8.09 37.450 0.002 23 1.4422 0.086 0.093 0.179 0.263 56.343378 0.0326 0.344260 0.000724 19.721 0.001 23.081 0.000 26.434 0.380 59496.893 72.823 27.561 14.323 2455858.93329 3.43 K11Uf2P +res N 5 3 S mal27 23.90 0.100 r 8.19 37.500 0.002 21 1.4338 0.093 0.097 0.216 0.307 42.290464 0.0089 0.118938 0.000743 5.141 0.001 21.604 0.003 30.012 1.027 60173.199 221.212 29.398 13.020 2455858.90337 3.41 K11Uf1J +res N 3 2 S mal28 23.80 0.058 r 8.06 37.600 0.001 30 2.1631 0.066 0.113 0.199 0.287 39.578271 0.0138 0.217496 0.000727 10.752 0.001 17.914 0.001 285.455 0.014 39497.528 13.251 29.422 15.045 2455860.76973 3.49 K11Uf0W +cla i -1 -1 I mal29 23.40 0.000 r 7.61 37.892 0.002 26 1.4146 0.071 0.071 0.266 0.197 38.039160 0.0246 0.128766 0.002599 27.787 0.001 21.128 0.000 273.127 0.125 36565.721 81.731 25.411 15.152 2455860.78698 3.52 K11Uf2O +res N 3 2 S mal30 21.87 0.033 r 6.10 37.958 0.001 31 2.2717 0.092 0.075 0.229 0.231 39.307760 0.0187 0.210805 0.001016 12.842 0.001 26.610 0.000 272.045 0.028 38634.445 22.650 29.058 13.136 2455858.90763 3.42 K04V75T +res N 3 2 S mal31 24.00 0.000 r 8.16 38.402 0.001 26 2.3184 0.086 0.079 0.245 0.227 39.520545 0.0133 0.124484 0.001159 3.833 0.000 298.461 0.010 8.437 0.041 38191.667 16.937 27.475 15.512 2455860.77825 3.52 K11Uf0Z +res N 3 2 I mal32 23.77 0.033 r 7.91 38.548 0.001 25 2.0862 0.076 0.080 0.281 0.252 39.600536 0.0056 0.043646 0.000750 14.900 0.001 13.374 0.001 322.525 0.612 43039.790 131.718 26.307 15.687 2455860.78262 3.42 K11Uf1B +res N 4 1 S mal33 24.20 0.100 r 8.34 38.569 0.003 17 1.4228 0.063 0.090 0.131 0.205 75.785556 0.0220 0.491166 0.000149 13.435 0.001 231.961 0.002 160.345 0.495 56178.002 98.469 27.269 16.537 2455860.80517 3.21 K11Uf1P +res N 5 3 S mal34 24.27 0.088 r 8.36 39.189 0.002 16 1.4340 0.086 0.091 0.216 0.263 42.223676 0.0047 0.071898 0.000092 1.974 0.000 308.534 0.043 82.373 2.385 56151.282 572.392 26.861 13.224 2455858.91621 3.26 K11Uf1L +res N 3 2 S mal35 21.50 0.000 r 5.57 39.355 0.001 27 4.1122 0.045 0.096 0.097 0.207 39.512594 0.0040 0.178507 0.000226 13.497 0.000 19.795 0.000 109.099 0.017 75569.660 6.173 26.827 13.695 2455858.91621 3.36 K11Uf0T +cla m -1 -1 I mal36 24.60 0.173 r 8.65 39.507 0.003 12 1.1468 0.090 0.118 0.166 0.311 46.250117 0.0110 0.147643 0.000843 2.956 0.001 252.563 0.024 146.427 2.231 58270.138 519.823 25.905 12.975 2455858.92047 3.26 K11Uf2A +cla m -1 -1 I mal37 24.23 0.133 r 8.27 39.653 0.002 23 1.3793 0.118 0.137 0.275 0.353 42.432680 0.0185 0.098398 0.002359 7.210 0.001 24.163 0.002 315.718 1.041 43456.458 209.011 30.125 13.445 2455858.90337 3.27 K11Uf1X +cla m -1 -1 IH mal38 24.40 0.153 r 8.35 40.339 0.002 27 1.4309 0.123 0.099 0.313 0.249 45.382779 0.0219 0.131928 0.001813 10.729 0.001 231.692 0.002 124.064 1.022 46961.974 225.627 29.765 15.901 2455860.81804 3.36 K11Uf2M +cla m -1 -1 S mal39 23.80 0.058 r 7.74 40.517 0.002 26 1.4723 0.098 0.067 0.230 0.145 43.408021 0.0058 0.070503 0.000850 3.132 0.001 337.472 0.019 32.829 1.774 50639.411 441.022 27.930 14.237 2455858.93329 3.19 K11Uf2C +cla m -1 -1 S mal40 23.13 0.033 r 7.03 40.875 0.002 24 1.4339 0.066 0.064 0.291 0.162 43.048298 0.0116 0.070517 0.001847 7.737 0.001 14.293 0.003 329.394 1.353 43929.543 313.333 27.994 13.942 2455858.93329 3.17 J99RL5U +cla i -1 -1 S mal41 24.47 0.067 r 8.36 40.960 0.004 13 1.2892 0.059 0.075 0.164 0.206 38.960081 0.0183 0.057848 0.002627 20.411 0.002 216.340 0.001 325.615 5.440 93092.918 1343.401 25.278 13.703 2455858.92047 3.13 K11Uf2N +cla m -1 -1 S mal42 22.57 0.033 r 6.43 41.288 0.002 23 1.3795 0.070 0.119 0.191 0.387 44.061145 0.0047 0.063950 0.000495 2.122 0.002 8.325 0.019 34.887 2.643 58648.018 686.860 30.029 13.190 2455858.90337 3.13 K01RE3Z +cla m -1 -1 S mal43 24.07 0.033 r 7.92 41.355 0.002 23 1.4340 0.123 0.079 0.228 0.201 43.362997 0.0132 0.066840 0.002121 4.419 0.001 20.174 0.004 323.075 1.529 43238.873 359.215 29.926 13.229 2455858.90337 3.15 K11Uf1V +cla m -1 -1 S mal44 24.17 0.033 r 8.01 41.372 0.002 22 1.4313 0.077 0.091 0.177 0.246 42.603289 0.0268 0.116416 0.002709 15.118 0.002 21.517 0.001 94.399 0.213 75304.677 12.265 30.145 15.790 2455860.76973 3.17 K11Uf2H +res N 3 2 S mal45 23.07 0.033 r 6.90 41.480 0.001 28 2.2668 0.064 0.061 0.264 0.191 39.212242 0.0272 0.288434 0.001143 15.700 0.001 19.081 0.001 131.877 0.109 77058.855 44.885 29.485 16.301 2455860.81804 3.20 K11Uf1D +cla m -1 -1 I mal46 24.53 0.167 r 8.37 41.526 0.002 20 1.4340 0.090 0.114 0.264 0.299 43.839053 0.0391 0.165471 0.002631 4.529 0.002 18.484 0.005 94.657 0.169 74173.180 14.681 30.075 13.468 2455858.90337 3.28 K11Uf1W +res N 2 1 S mal47 24.57 0.133 r 8.33 41.987 0.001 21 3.9566 0.147 0.080 0.365 0.194 47.693004 0.0084 0.141996 0.000276 10.691 0.000 238.834 0.001 114.086 0.110 46437.643 25.154 26.561 16.561 2455860.80517 3.02 K11Uf1G +cla m -1 -1 S mal48 23.83 0.033 r 7.57 42.436 0.002 33 1.4313 0.082 0.095 0.229 0.306 46.451000 0.0339 0.155030 0.002303 2.496 0.000 303.964 0.028 24.904 0.407 40158.170 58.463 29.832 14.893 2455860.76973 3.07 K11Uf2G +cla m -1 -1 I mal49 23.73 0.033 r 7.41 42.833 0.002 21 1.4395 0.071 0.104 0.170 0.195 43.028360 0.0215 0.083076 0.002884 10.371 0.002 239.455 0.005 60.139 0.104 32305.258 103.291 27.842 16.754 2455860.80951 3.07 K11Uf2L +cla m -1 -1 S mal50 24.30 0.200 r 7.98 42.997 0.002 17 1.4338 0.057 0.071 0.157 0.193 42.030971 0.0066 0.029441 0.001841 29.757 0.002 27.031 0.000 147.942 4.534 94556.742 1254.021 28.820 14.932 2455860.77399 3.12 K11Uf2J +cla m -1 -1 S mal51 23.97 0.088 r 7.64 43.191 0.002 25 1.4423 0.101 0.052 0.245 0.119 44.217924 0.0151 0.064180 0.002442 1.907 0.000 309.431 0.040 154.113 0.723 75286.666 137.994 28.659 13.809 2455858.90763 2.99 K11Uf1Y +cla m -1 -1 S mal52 24.30 0.000 r 7.95 43.301 0.002 24 1.4723 0.105 0.099 0.262 0.256 43.940956 0.0082 0.030894 0.002452 1.694 0.001 357.000 0.029 98.659 2.328 73617.814 599.391 29.882 13.259 2455858.90337 2.99 K11Uf1U +cla m -1 -1 S mal53 23.20 0.000 r 6.74 44.397 0.001 25 4.1122 0.121 0.120 0.259 0.291 45.413690 0.0039 0.052319 0.000331 5.496 0.000 358.348 0.003 100.405 0.214 75027.845 53.039 28.178 14.852 2455858.93329 2.94 K11Uf2D +cla m -1 -1 S mal54 24.27 0.033 r 7.75 44.937 0.005 17 1.2809 0.100 0.105 0.202 0.221 43.495764 0.0186 0.055618 0.005116 15.311 0.002 14.512 0.002 245.796 4.194 19787.907 1227.682 25.362 14.784 2455858.92476 2.99 K11Uf2B +cla m -1 -1 S mal55 24.27 0.033 r 7.74 45.158 0.002 22 1.4504 0.061 0.098 0.124 0.269 45.535456 0.0143 0.053150 0.002964 1.214 0.000 315.356 0.069 352.167 0.320 31494.864 18.823 29.187 13.224 2455858.90763 2.83 K11Uf1Z +cla m -1 -1 S mal56 24.40 0.000 r 7.82 45.576 0.004 12 1.1466 0.080 0.090 0.153 0.227 45.069927 0.0169 0.011888 0.002565 2.146 0.000 313.968 0.066 277.782 41.184 6484.545 12639.352 30.198 14.597 2455858.94181 2.94 K11Uf2F +cla o -1 -1 I mal57 24.13 0.088 r 7.49 46.124 0.003 15 1.4395 0.115 0.103 0.286 0.257 48.080094 0.0726 0.182727 0.003915 17.822 0.002 224.314 0.002 79.714 0.046 33180.331 87.605 28.825 15.946 2455860.81377 2.98 K11Uf2T +cla m -1 -1 I mal58 24.40 0.100 r 7.74 46.661 0.004 16 1.4501 0.093 0.084 0.176 0.184 47.879267 0.0788 0.160826 0.004845 2.606 0.002 5.095 0.021 116.380 0.044 79920.003 123.636 28.917 13.103 2455858.90763 2.81 K11Uf2S +cla m -1 -1 S mal59 23.27 0.033 r 6.44 48.245 0.003 26 1.4339 0.084 0.112 0.221 0.301 43.495625 0.0053 0.111878 0.000549 22.799 0.002 218.117 0.000 5.580 1.448 7508.573 419.189 30.111 14.586 2455858.94181 2.84 K11Uf2E +res N 5 3 S mal60 24.07 0.088 r 7.23 48.408 0.007 12 1.2891 0.063 0.098 0.150 0.265 42.222091 0.0142 0.146728 0.000412 9.385 0.003 11.445 0.006 196.753 3.581 104918.269 986.116 27.424 14.695 2455858.93329 2.76 K11Uf1M +res N 5 2 I mal61 24.53 0.067 r 7.45 51.239 0.004 20 1.4338 0.088 0.132 0.221 0.242 55.668479 0.2748 0.406186 0.005081 6.420 0.002 4.876 0.011 130.185 0.159 79336.444 140.708 28.610 14.909 2455860.77399 2.61 K11Uf1T +res N 3 1 I mal62 23.90 0.000 r 6.75 52.005 0.002 25 1.4396 0.074 0.079 0.150 0.177 62.442250 0.2131 0.404531 0.003525 40.400 0.002 215.504 0.000 263.654 0.018 78060.666 65.762 27.736 15.359 2455860.77825 2.68 K11Uf1Q diff --git a/src/ossssim/Characterizations/All_Surveys/All_Surveys_v11.detections b/src/ossssim/Characterizations/All_Surveys/All_Surveys_v11.detections new file mode 100644 index 0000000..26a431f --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/All_Surveys_v11.detections @@ -0,0 +1,1149 @@ +# File: All_Surveys_v11.detections +# +# cl p j k sh object mag e_mag Filt Hsur dist e_dist Nobs time av_xres av_yres max_x max_y a e_a e e_e i e_i Omega e_Omega omega e_omega tperi e_tperi RAdeg DEdeg JD rate MPC +sca x -1 -1 S o3e01 21.50 0.087 r 7.73 23.291 0.000 120 15.1322 0.083 0.073 0.311 0.343 34.419111 0.0012 0.589613 0.000009 7.711 0.000 32.982 0.000 275.186 0.002 62220.913 0.038 213.148 -13.587 2456386.92978 4.87 K02GG6G +res N 3 2 S o3e02 23.34 0.140 r 8.32 31.080 0.001 32 3.2522 0.047 0.052 0.187 0.134 39.440179 0.0041 0.228123 0.000131 13.468 0.000 35.741 0.000 152.551 0.047 52153.805 6.812 213.839 -13.500 2456386.94170 3.73 K13GD7H +res N 3 2 S o3e03 23.72 0.109 r 8.70 31.131 0.000 29 4.1449 0.092 0.052 0.195 0.207 39.334897 0.0052 0.256758 0.000153 3.866 0.000 31.386 0.001 136.792 0.022 49608.799 2.481 211.891 -13.064 2456386.91785 3.68 K13GD7E +res N 3 2 S o3e04 23.39 0.163 r 8.25 32.136 0.000 29 3.1756 0.059 0.050 0.253 0.320 39.495980 0.0043 0.266711 0.000188 16.873 0.000 42.491 0.000 230.926 0.036 65131.641 3.559 214.699 -11.658 2456391.88210 3.72 K13GD7J +res N 2 1 S o3e05 22.69 0.066 r 7.42 33.001 0.001 31 2.1187 0.044 0.047 0.139 0.093 47.744356 0.0099 0.344105 0.000246 6.660 0.001 219.318 0.000 35.600 0.060 62234.242 8.108 216.271 -14.536 2456391.88613 3.40 K13GD6W +res N 3 2 S o3e06 24.03 0.309 r 8.59 34.357 0.001 36 2.0422 0.110 0.103 0.432 0.463 39.258556 0.0083 0.199499 0.000505 10.440 0.001 44.493 0.000 235.115 0.091 66946.358 10.054 217.397 -13.633 2456391.90177 3.27 K13GD7L +res N 3 2 S o3e07 24.06 0.162 r 8.52 35.160 0.001 25 1.3764 0.097 0.102 0.425 0.453 39.333143 0.0184 0.135343 0.001629 2.392 0.001 96.067 0.023 74.042 0.699 47992.924 118.516 212.643 -10.849 2456386.93770 3.51 K13GD7G +res N 3 2 S o3e08 24.02 0.130 r 8.45 35.413 0.001 34 4.2867 0.069 0.071 0.235 0.230 39.371591 0.0028 0.103683 0.000078 6.942 0.000 204.436 0.000 352.259 0.091 53206.618 18.199 210.956 -11.526 2456386.90980 3.41 K13GD7D +res N 5 2 S o3e09 22.94 0.051 r 7.32 35.765 0.001 38 2.1189 0.059 0.058 0.268 0.329 55.536335 0.0202 0.414113 0.000368 10.877 0.001 221.020 0.000 43.984 0.055 64191.070 6.648 216.853 -15.028 2456391.89790 3.24 K13GD6Y +cla i -1 -1 S o3e10 23.73 0.187 r 8.00 36.716 0.001 31 2.1218 0.089 0.088 0.294 0.433 38.768244 0.0054 0.060387 0.000503 24.276 0.001 39.138 0.000 148.820 0.691 49757.641 146.549 216.728 -14.223 2456391.89790 3.36 K13GD6O +sca x -1 -1 S o3e11 23.60 0.098 r 7.86 36.851 0.001 33 4.1367 0.083 0.166 0.160 0.253 86.736041 0.0210 0.609305 0.000107 18.362 0.000 213.926 0.000 36.549 0.014 62736.013 1.897 210.617 -12.965 2456386.90583 3.23 K13GD6Z +res N 3 2 S o3e12 23.90 0.134 r 8.11 37.246 0.001 37 1.9632 0.101 0.109 0.320 0.349 39.556783 0.0107 0.156869 0.000795 14.679 0.001 35.789 0.000 101.826 0.063 41302.829 3.468 212.805 -12.830 2456386.92978 3.18 K13GD7F +res N 16 9 IH o3e13 23.72 0.113 r 7.86 37.877 0.001 34 4.2869 0.114 0.162 0.220 0.378 44.118257 0.0041 0.167468 0.000149 8.318 0.000 49.169 0.001 125.890 0.055 48297.846 10.310 212.216 -10.496 2456386.92583 3.12 K13GD6U +cla m -1 -1 S o3e15 23.86 0.150 r 7.87 39.055 0.001 27 1.8894 0.105 0.097 0.245 0.263 43.932301 0.0050 0.113549 0.000268 5.420 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L3y12PD 21.75 0.027 g 6.06 36.418 0.001 82 3.0776 0.137 0.118 0.750 0.587 42.331834 0.0033 0.140430 0.000058 11.078 0.000 108.852 0.000 355.092 0.089 51598.282 18.487 112.898 22.131 2452997.96484 3.32 K01YE0H +res N 11 8 I L3y14PD 23.54 0.138 g 7.99 35.306 0.001 27 3.0829 0.149 0.077 0.266 0.239 37.219762 0.0027 0.052107 0.000066 4.262 0.000 94.731 0.001 4.932 0.273 50957.599 56.584 111.770 23.059 2452997.95784 3.31 K01XP4S +cla m -1 -1 I L4h01PD 23.77 0.402 g 7.50 41.857 0.000 70 14.9377 0.309 0.845 0.573 0.940 43.719581 0.0017 0.048039 0.000026 7.750 0.000 187.908 0.000 43.279 0.027 60818.000 6.974 200.966 -6.692 2453121.82065 3.21 J93F00W +res N 5 2 S L4h02PD 23.50 0.184 g 8.36 32.223 0.001 18 1.8782 0.225 0.139 0.301 0.316 55.550320 0.0123 0.422907 0.000128 16.213 0.001 196.409 0.000 16.593 0.097 54773.263 14.921 200.638 -6.854 2453121.82065 3.62 K04E96G +xxx x -1 -1 x L4h04nt 23.89 0.169 g 8.71 32.561 3.976 6 0.1507 0.034 0.062 0.077 0.151 33.590099 14.4898 0.066282 7.464194 4.848 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22.98 0.105 g 8.01 31.110 0.000 35 9.1536 0.166 0.100 0.270 0.416 39.520906 0.0028 0.251967 0.000037 4.814 0.000 186.666 0.000 60.185 0.007 59327.429 0.986 204.015 -8.268 2453121.83202 4.09 J95H05M +res N 15 8 I L4h11 23.01 0.084 g 7.25 37.377 0.002 20 5.1552 0.137 0.233 0.211 0.462 45.741623 0.0121 0.229706 0.000118 11.670 0.000 32.824 0.000 219.032 0.066 62304.299 11.424 204.258 -8.523 2453121.83202 3.26 K04H79N +cla m -1 -1 S L4h12 23.96 0.157 g 7.77 41.302 0.002 16 2.0204 0.094 0.195 0.290 0.604 43.887907 0.0111 0.078000 0.000872 1.946 0.001 68.976 0.020 181.504 0.649 64323.724 154.329 204.882 -8.896 2453121.83202 3.01 K04H79K +res N 4 3 S L4h14 23.55 0.171 g 7.72 37.989 0.003 15 2.8232 0.101 0.213 0.205 0.547 36.441149 0.0054 0.079432 0.000758 1.172 0.001 195.906 0.009 244.355 0.288 26694.446 62.728 204.264 -9.868 2453121.83344 3.31 K04H79M +res N 3 2 S L4h15 24.05 0.052 g 8.98 31.964 0.001 13 2.1764 0.163 0.118 0.343 0.191 39.259977 0.0110 0.228623 0.000752 2.661 0.001 62.609 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7.06 42.419 0.002 17 2.1081 0.111 0.123 0.433 0.288 43.269131 0.0059 0.025466 0.000931 1.484 0.001 76.660 0.021 190.800 2.624 64247.339 708.897 225.074 -16.282 2453120.93410 2.81 K04H79F +cla m -1 -1 S L4j03 23.81 0.097 g 7.41 43.205 0.002 17 2.1081 0.066 0.148 0.218 0.316 44.199894 0.0062 0.022980 0.000296 3.595 0.001 56.314 0.003 182.834 3.891 56531.438 1106.017 225.157 -16.478 2453120.93410 3.02 K04H79G +cla m -1 -1 S L4j05 23.53 0.091 g 7.58 38.954 0.001 19 4.1276 0.170 0.264 0.499 0.455 46.398509 0.0083 0.160639 0.000131 1.446 0.000 68.459 0.006 156.503 0.108 52349.318 24.600 226.358 -16.888 2453120.93696 3.09 K04H79C +res N 5 2 S L4j06PD 22.14 0.034 g 7.02 32.057 0.001 62 3.0944 0.186 0.070 0.532 0.342 55.386888 0.0075 0.421953 0.000071 1.559 0.000 124.021 0.009 110.669 0.027 53937.727 3.865 227.818 -16.202 2453120.93836 3.79 K02G32P +cla m -1 -1 S L4j07 22.91 0.090 g 6.11 47.329 0.002 15 2.0306 0.110 0.145 0.364 0.608 45.940983 0.0087 0.032046 0.000819 1.305 0.000 159.190 0.060 230.953 3.579 103621.256 1129.554 227.158 -16.336 2453120.93836 2.59 K04H79D +res N 5 2 S L4j08 23.59 0.144 g 7.82 37.260 0.001 22 4.0410 0.076 0.105 0.235 0.360 55.205527 0.0140 0.411661 0.000207 5.624 0.000 53.634 0.000 119.934 0.020 43396.310 1.804 227.589 -17.321 2453120.93977 3.20 K04H79O +cla m -1 -1 S L4j10 23.75 0.214 g 7.34 43.160 0.002 13 2.1081 0.086 0.066 0.176 0.171 43.259250 0.0111 0.060099 0.001648 8.610 0.001 222.345 0.001 99.221 0.103 77460.660 56.074 228.457 -16.718 2453120.94121 2.92 K04H79H +res N 3 2 S L4j11 23.71 0.178 g 8.38 33.566 0.001 20 2.1844 0.093 0.083 0.308 0.226 39.419732 0.0046 0.152697 0.000191 16.272 0.001 228.958 0.000 19.126 0.292 55991.230 52.811 230.613 -17.503 2453120.94688 3.70 K04H78X +cla m -1 -1 S L4j12 23.64 0.063 g 7.32 42.234 0.005 13 2.0255 0.074 0.092 0.141 0.207 44.961294 0.0116 0.060941 0.000320 0.317 0.000 144.489 0.231 93.482 2.074 54728.863 555.724 230.085 -18.058 2453120.94830 2.72 K06J58V +res N 3 2 S L4k01 24.01 0.121 g 7.98 39.476 0.003 16 2.0071 0.110 0.099 0.330 0.246 39.483636 0.0235 0.218587 0.001080 17.156 0.001 43.972 0.000 286.342 0.081 72626.468 33.478 224.346 -18.045 2453149.85457 3.44 K04K19B +cla m -1 -1 S L4k02 23.24 0.056 g 6.89 42.554 0.003 17 4.0380 0.073 0.112 0.155 0.216 44.359851 0.0095 0.049814 0.000302 1.178 0.000 292.435 0.022 258.106 0.452 43096.423 119.111 224.247 -17.971 2453149.85457 2.77 K04K19E +cla m -1 -1 S L4k03 23.58 0.328 g 7.35 41.429 0.003 19 4.0381 0.139 0.131 0.353 0.258 44.122544 0.0111 0.063475 0.000212 0.108 0.000 327.413 0.316 278.068 0.426 57567.580 74.032 225.725 -17.360 2453149.85597 2.99 K04K19F +cla m -1 -1 S L4k04 24.18 0.176 g 7.85 42.363 0.003 16 2.0071 0.076 0.117 0.204 0.283 43.272025 0.0116 0.021635 0.000374 0.963 0.000 298.892 0.061 275.699 3.575 49274.800 986.001 225.512 -18.152 2453149.85737 2.94 K04K19G +xxx x -1 -1 x L4k05nt 23.65 0.173 R 7.86 37.460 3.080 8 0.0467 0.068 0.068 0.144 0.195 39.412234 16.5374 0.167075 1.939700 11.877 5.054 40.381 3.623 106.327 313.658 37190.189 29300.311 225.310 -18.996 2453149.85737 3.31 ------- +xxx x -1 -1 x L4k06nt 24.07 0.169 R 7.66 43.199 3.505 6 0.0467 0.068 0.073 0.154 0.134 44.160314 23.0231 0.481872 0.675221 12.350 6.391 48.008 0.615 297.749 56.142 70951.377 11385.428 226.337 -17.694 2453149.85877 2.70 ------- +sca x -1 -1 S L4k09 23.64 0.237 g 9.33 26.634 0.001 20 1.9386 0.064 0.108 0.209 0.203 30.191945 0.0033 0.185168 0.000291 13.586 0.001 235.598 0.000 295.040 0.075 46035.172 6.237 226.651 -18.947 2453149.86017 4.48 K04K18V +cla m -1 -1 I L4k10 24.32 0.075 g 7.64 46.026 0.002 24 5.8211 0.143 0.109 0.380 0.741 42.388028 0.0056 0.142670 0.000199 4.485 0.000 238.057 0.001 218.956 0.058 19445.363 17.385 227.384 -18.339 2453149.86157 2.69 K04K19K +res N 3 2 S L4k11 23.35 0.179 g 8.50 30.225 0.004 17 3.9539 0.068 0.049 0.175 0.170 39.258064 0.0310 0.236054 0.000477 5.637 0.000 240.601 0.000 6.795 0.076 55614.731 11.267 227.923 -18.843 2453149.86297 4.02 K04K19C +cla m -1 -1 S L4k12 23.12 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0.001 199.229 0.033 53887.264 5.255 230.004 -19.920 2453149.87136 3.81 K04K19L +cla m -1 -1 S L4k17 23.02 0.162 g 7.13 38.510 0.002 16 2.1025 0.089 0.074 0.306 0.158 46.967058 0.0246 0.235428 0.000907 24.421 0.001 236.614 0.000 46.521 0.187 63402.637 29.232 230.613 -19.956 2453149.87136 3.26 K04K19J +cla i -1 -1 S L4k18 23.57 0.084 g 7.64 38.872 0.002 14 3.9482 0.070 0.109 0.162 0.262 38.256763 0.0067 0.017072 0.000157 2.126 0.000 4.705 0.014 68.462 1.032 14731.406 247.781 230.845 -20.290 2453149.87136 3.18 K04K19D +cla m -1 -1 S L4k19 23.79 0.109 g 7.95 38.030 0.002 17 2.1025 0.050 0.104 0.156 0.235 41.470909 0.0107 0.105883 0.000747 20.220 0.001 238.399 0.000 36.968 0.434 62529.739 88.353 230.151 -20.385 2453149.87136 3.31 K05JI6B +res N 2 1 S L4k20 23.93 0.144 g 8.61 33.827 0.002 18 4.0405 0.161 0.143 0.184 0.229 47.719831 0.0146 0.291797 0.000177 1.686 0.000 283.847 0.008 305.739 0.038 52237.178 6.420 231.821 -20.174 2453149.87418 3.54 K04K19M +sca x -1 -1 S L4m01 23.75 0.104 g 8.75 31.360 0.001 17 4.9911 0.221 0.118 0.298 0.261 33.467236 0.0042 0.332719 0.000081 8.205 0.000 289.554 0.000 94.455 0.012 65031.544 1.196 287.022 -23.161 2453181.95953 3.63 K04M08W +res N 3 2 S L4m02 23.41 0.185 g 8.94 27.791 0.001 16 2.3318 0.061 0.048 0.151 0.230 39.344312 0.0084 0.296774 0.000190 12.249 0.000 288.330 0.000 345.011 0.101 51712.312 12.972 286.508 -23.388 2453181.95953 4.16 K04M08S +cla m -1 -1 I L4m03 23.72 0.037 g 7.16 44.911 0.006 12 2.8911 0.106 0.161 0.286 0.388 43.120301 0.0181 0.041955 0.000394 2.239 0.001 87.239 0.010 26.486 1.295 3955.289 370.698 287.576 -23.192 2453181.96094 2.49 K04M08T +cla m -1 -1 S L4m04 23.32 0.131 g 7.33 39.076 0.001 15 3.9532 0.239 0.141 0.648 0.429 47.234126 0.0072 0.175028 0.000115 27.205 0.001 110.244 0.000 193.074 0.087 55715.866 19.654 294.402 -22.474 2453181.96944 2.87 K04M08V +res N 7 4 S L4n03 23.71 0.133 g 7.60 40.482 0.001 23 11.8033 0.080 0.133 0.182 0.367 43.650399 0.0050 0.125184 0.000062 9.727 0.000 110.765 0.000 238.696 0.034 67452.667 7.233 290.051 -21.820 2453208.93884 3.00 K04O15Q +cla m -1 -1 S L4n04 23.65 0.165 g 6.79 48.159 0.002 18 2.8939 0.015 0.094 0.075 0.163 44.856425 0.0096 0.081796 0.000597 3.580 0.001 109.745 0.000 336.428 0.636 99552.576 192.305 291.428 -21.996 2453208.94048 2.59 K04M08U +det x -1 -1 I L4n05 23.58 0.112 g 7.84 37.257 0.002 20 3.7838 0.078 0.109 0.343 0.388 56.248318 0.0187 0.338819 0.000194 6.919 0.000 285.221 0.001 13.015 0.038 54561.760 7.512 292.732 -21.018 2453208.94263 3.32 K04O15R +det x -1 -1 S L4n06 23.62 0.087 g 7.65 39.503 0.001 18 3.8766 0.070 0.098 0.206 0.330 55.760383 0.0147 0.316669 0.000198 4.248 0.001 123.603 0.001 202.815 0.046 59917.416 8.906 296.606 -20.520 2453208.94916 3.03 K04O15S +cla i -1 -1 I L4o01 23.02 0.067 g 7.08 38.723 0.002 16 3.7757 0.073 0.114 0.115 0.189 38.584206 0.0076 0.055319 0.000268 22.946 0.001 289.181 0.000 93.422 0.162 75219.294 45.259 287.058 -23.909 2453210.93076 3.19 K04O15P +cla m -1 -1 S L4p01 23.90 0.131 g 7.45 43.593 0.002 16 3.0853 0.119 0.079 0.340 0.256 42.983289 0.0065 0.041150 0.000599 1.238 0.001 0.123 0.030 194.781 0.372 22382.759 108.323 309.587 -19.519 2453232.83672 2.74 K04PB7T +cla m -1 -1 S L4p02 23.82 0.250 g 7.48 42.426 0.003 14 1.9438 0.100 0.139 0.204 0.302 42.817224 0.0089 0.014613 0.001012 1.874 0.000 23.106 0.036 336.275 3.113 67635.066 843.949 309.899 -20.320 2453232.83672 3.02 K04PB7U +cla m -1 -1 S L4p03 23.14 0.120 g 7.12 39.489 0.002 20 1.7170 0.056 0.137 0.132 0.364 46.068915 0.0168 0.153431 0.000416 4.324 0.001 329.217 0.005 314.285 0.285 47460.460 63.668 310.922 -19.770 2453232.84003 2.91 K04PB7V +det x -1 -1 S L4p04PD 22.03 0.015 g 6.24 37.574 0.001 29 4.9803 0.063 0.092 0.267 0.500 54.318332 0.0084 0.342164 0.000118 18.416 0.000 127.354 0.000 147.449 0.020 46245.218 3.343 313.190 -18.746 2453232.84665 3.27 K00P30E +cla m -1 -1 S L4p05 23.59 0.089 g 6.92 45.988 0.002 16 3.8112 0.109 0.095 0.176 0.249 43.620105 0.0084 0.060230 0.000220 1.862 0.001 81.353 0.019 72.886 0.340 8593.727 99.310 312.552 -19.196 2453232.84665 2.69 K04PB7W +cla m -1 -1 S L4p06PD 22.35 0.117 g 6.00 42.753 0.001 48 3.9377 0.114 0.045 0.168 0.322 43.835336 0.0041 0.083322 0.000272 1.547 0.000 108.746 0.006 125.789 0.045 33162.360 7.369 314.288 -17.891 2453232.85161 2.86 K01QT7Y +sca x -1 -1 S L4p07 22.41 0.345 g 7.66 29.586 0.001 19 4.8516 0.083 0.073 0.154 0.150 39.953648 0.0120 0.280856 0.000217 23.545 0.000 130.074 0.000 152.442 0.014 49048.719 1.681 314.402 -18.144 2453232.85326 4.16 K04PB7Y +cla m -1 -1 S L4p08PD 23.75 0.206 g 7.49 41.975 0.002 19 4.1811 0.054 0.083 0.347 0.215 44.282728 0.0085 0.064421 0.000215 1.856 0.000 15.978 0.014 258.683 0.307 43125.412 78.154 315.620 -18.637 2453232.85657 3.18 K01QT7Z +cla m -1 -1 S L4p09 23.51 0.077 g 6.84 46.149 0.003 14 1.9278 0.079 0.087 0.246 0.208 44.260877 0.0265 0.099653 0.001620 3.747 0.001 120.092 0.006 73.199 0.678 20334.037 217.503 316.202 -17.643 2453232.85823 2.83 K04PB7X +cla m -1 -1 I L4q03 23.57 0.068 g 7.45 40.574 0.002 23 4.9311 0.171 0.221 0.322 0.408 43.030054 0.0050 0.114461 0.000165 23.863 0.000 135.276 0.000 114.532 0.065 37667.401 11.767 317.960 -16.398 2453236.84857 3.26 K04Q29D +cla m -1 -1 S L4q05 23.51 0.081 g 7.75 37.465 0.003 12 1.9169 0.135 0.088 0.345 0.151 40.877929 0.0090 0.083725 0.000158 24.125 0.001 317.865 0.000 355.066 0.887 52185.708 197.943 319.881 -15.710 2453236.85603 3.22 K04Q29E +cla o -1 -1 S L4q06 24.02 0.266 g 8.23 37.784 0.003 12 1.9169 0.081 0.136 0.184 0.300 48.479526 0.0144 0.235173 0.000554 27.134 0.001 319.895 0.000 333.670 0.302 47898.851 59.379 321.564 -15.450 2453236.86256 3.46 K04Q29G +cla m -1 -1 S L4q09 24.11 0.153 g 7.50 45.741 0.004 15 1.9168 0.097 0.204 0.187 0.505 46.518611 0.0098 0.022323 0.001189 4.594 0.001 330.618 0.003 308.387 3.699 40159.245 1120.005 323.899 -15.127 2453236.86907 2.80 K00P30D +cla i -1 -1 S L4q10 23.66 0.163 g 7.85 38.123 0.001 40 9.2065 0.069 0.160 0.292 0.375 38.026517 0.0033 0.025239 0.000046 4.000 0.000 127.498 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0.173 g 7.20 45.248 0.001 61 8.1608 0.050 0.249 0.360 0.325 44.946946 0.0037 0.064780 0.000078 2.660 0.000 134.393 0.000 88.145 0.056 25050.858 20.235 324.537 -14.508 2453236.87236 2.54 K04Q29F +cla m -1 -1 S L4v03 22.85 0.142 g 6.73 40.709 0.003 13 2.0396 0.025 0.083 0.067 0.183 43.951488 0.0165 0.073950 0.000265 0.490 0.000 124.923 0.127 278.952 1.089 54396.073 274.246 37.214 14.165 2453318.88100 3.26 K04VD1C +sca x -1 -1 S L4v04 24.14 0.110 g 9.09 31.848 0.001 14 1.9519 0.136 0.088 0.352 0.275 64.100391 0.0429 0.506381 0.000352 13.642 0.001 42.724 0.000 345.332 0.077 51651.054 11.140 37.073 13.781 2453318.88100 3.98 K04VD1G +res N 5 3 S L4v05 24.10 0.213 g 8.12 39.555 0.002 14 1.9488 0.195 0.210 0.427 0.567 42.296966 0.0258 0.258892 0.001285 5.198 0.001 219.187 0.001 272.421 0.051 70370.404 18.285 38.559 14.937 2453318.88425 3.44 K04VD1E +res N 2 1 S L4v06 23.63 0.171 g 8.50 32.544 0.001 18 1.9488 0.069 0.216 0.180 0.640 47.755360 0.0223 0.330146 0.000406 1.467 0.001 67.536 0.011 312.155 0.111 49880.759 16.773 38.667 14.447 2453318.88425 3.77 K04V78K +res N 3 1 S L4v08 23.92 0.184 g 6.95 49.685 0.002 23 4.0734 0.081 0.154 0.268 0.435 62.193747 0.0553 0.428055 0.000742 8.024 0.001 42.958 0.000 271.531 0.016 33264.625 13.401 39.025 15.049 2453318.88752 2.56 K04VD0U +res N 3 2 S L4v09 23.56 0.085 g 8.14 34.753 0.001 19 4.7750 0.186 0.369 0.397 0.541 39.459616 0.0080 0.208016 0.000145 5.745 0.000 44.431 0.000 291.284 0.032 41945.851 4.582 38.732 14.828 2453318.88752 3.48 K04VD0X +res N 7 4 S L4v10 23.90 0.247 g 7.67 41.971 0.002 23 4.7750 0.202 0.261 0.742 0.526 43.665389 0.0085 0.214605 0.000186 0.817 0.000 246.487 0.013 63.786 0.036 33574.622 7.181 39.620 15.815 2453318.88913 3.18 K04VD1F +sca x -1 -1 S L4v11 24.19 0.239 g 9.94 26.757 0.001 26 2.8394 0.065 0.251 0.257 0.298 60.035908 0.0177 0.629283 0.000144 11.972 0.000 39.623 0.000 308.144 0.012 48042.419 0.406 40.467 16.569 2453318.89236 4.43 K04VD1H +res N 3 2 S L4v12 23.99 0.095 g 9.35 29.172 0.001 28 4.7750 0.160 0.159 0.408 0.653 39.551772 0.0039 0.281562 0.000058 11.582 0.000 40.070 0.000 334.520 0.013 49436.557 1.596 39.873 16.107 2453318.89236 4.61 K04VD0Z +res N 3 2 S L4v13 22.72 0.107 g 7.59 32.762 0.001 28 4.7750 0.101 0.171 0.303 0.374 39.452107 0.0041 0.188190 0.000078 23.923 0.000 46.450 0.000 29.101 0.021 58600.977 3.384 42.535 15.567 2453318.89728 3.99 K04VD0V +cla m -1 -1 S L4v14 23.32 0.109 g 7.16 41.486 0.003 25 2.1847 0.143 0.146 0.415 0.496 46.324366 0.0108 0.122529 0.001291 3.646 0.001 36.126 0.002 333.132 0.886 44415.981 208.027 41.952 16.744 2453318.89893 3.08 K04VD1D +sca x -1 -1 S L4v15 22.47 0.029 g 8.91 22.950 0.000 23 16.4158 0.277 0.220 0.313 0.337 68.385618 0.0181 0.698262 0.000073 14.032 0.000 225.910 0.000 137.746 0.003 50102.308 0.181 42.034 16.519 2453318.89893 5.17 K04VD1M +res N 3 2 S L4v18 22.95 0.223 g 8.41 28.478 0.000 33 4.7750 0.422 0.618 0.438 0.660 39.340357 0.0036 0.276133 0.000057 10.203 0.000 222.369 0.000 180.718 0.012 53431.646 1.583 39.638 15.482 2453318.88913 4.43 K04VD0Y +cla m -1 -1 S L5c02 23.59 0.131 g 7.10 44.246 0.001 20 3.2275 0.144 0.181 0.266 0.482 45.735469 0.0073 0.035346 0.000554 1.791 0.000 40.983 0.024 68.139 1.659 46479.072 480.790 135.629 18.776 2453411.79591 2.99 K06C69H +cla m -1 -1 S L5c03 23.96 0.269 g 7.83 40.768 0.002 15 2.0291 0.211 0.051 0.435 0.160 42.714559 0.0122 0.046659 0.000297 3.084 0.001 103.831 0.009 42.495 2.284 56740.327 586.804 136.108 18.357 2453411.79591 3.13 K05C81E +cla m -1 -1 S L5c06 24.30 0.267 g 7.67 45.810 0.003 15 2.7438 0.108 0.171 0.335 0.323 45.440829 0.0166 0.077212 0.000982 1.185 0.001 356.748 0.031 236.938 0.240 81874.169 87.489 135.799 17.688 2453411.79754 2.93 K07C79Q +cla m -1 -1 S L5c07PD 22.92 0.117 g 6.70 41.664 0.001 29 2.0291 0.200 0.174 0.524 0.533 43.397612 0.0074 0.102835 0.000736 7.869 0.001 318.434 0.000 101.854 0.128 35521.976 16.708 135.522 17.693 2453411.79754 3.19 K05XA0U +res N 5 3 S L5c08 23.59 0.243 g 8.06 35.541 0.001 19 5.1030 0.088 0.319 0.123 0.619 42.174502 0.0053 0.228308 0.000105 17.916 0.000 130.429 0.000 59.435 0.044 63678.250 6.222 135.338 17.796 2453411.79754 3.74 K06C69J +cla m -1 -1 S L5c10PD 24.02 0.051 g 7.73 42.330 0.001 25 6.1631 0.096 0.224 0.183 0.244 45.325142 0.0048 0.066507 0.000076 3.205 0.000 313.356 0.000 187.527 0.124 55270.265 33.480 136.282 16.641 2453411.80078 3.02 J99CB9J +res N 3 2 S L5c11 23.87 0.278 g 7.31 45.199 0.002 15 3.2302 0.143 0.104 0.327 0.411 39.262363 0.0043 0.151580 0.000075 21.344 0.001 317.871 0.000 2.160 0.456 9684.992 112.553 139.121 16.367 2453411.80733 3.06 K05C81D +res N 12 5 S L5c12 22.30 0.021 g 6.70 36.324 0.003 17 4.1829 0.055 0.026 0.170 0.110 53.891995 0.0189 0.346510 0.000482 15.733 0.000 317.033 0.000 151.062 0.148 48161.802 24.671 138.659 16.210 2453411.80733 3.49 K02CM4Y +res N 5 3 S L5c13PD 23.85 0.247 g 7.64 41.806 0.002 24 6.1630 0.047 0.069 0.260 0.234 42.239989 0.0044 0.233872 0.000191 9.757 0.000 127.991 0.000 110.316 0.018 74036.449 5.758 139.960 17.263 2453411.80899 3.10 J99CD1X +cla m -1 -1 S L5c14 23.41 0.091 g 7.74 36.875 0.001 15 3.2302 0.120 0.114 0.189 0.270 47.148903 0.0061 0.218764 0.000104 21.869 0.001 133.275 0.000 357.313 0.131 52110.897 26.834 139.417 17.212 2453411.80899 3.52 K07C79R +det x -1 -1 IH L5c15 24.09 0.113 g 8.34 37.611 0.002 19 5.1030 0.165 0.154 0.322 0.530 55.172539 0.0196 0.318313 0.000212 5.137 0.000 122.792 0.001 15.344 0.042 53582.121 8.589 139.995 16.959 2453411.80899 3.37 K05C81H +cla o -1 -1 I L5c16 23.14 0.122 g 6.64 44.628 0.001 22 11.2333 0.199 0.227 0.454 0.537 53.848777 0.0075 0.237346 0.000068 26.153 0.000 134.664 0.000 56.941 0.027 67196.879 5.629 139.807 16.901 2453411.80899 2.95 K05C81G +cla m -1 -1 S L5c18 23.77 0.064 g 7.46 42.791 0.003 15 2.7438 0.191 0.114 0.475 0.272 44.159105 0.0095 0.035816 0.000379 1.540 0.001 330.284 0.006 135.837 1.194 44756.669 326.402 139.752 16.021 2453411.81064 3.01 K07C79S +res N 7 3 S L5c19PD 24.08 0.075 g 8.50 36.160 0.001 21 5.0248 0.076 0.132 0.234 0.426 53.039909 0.0097 0.389128 0.000104 5.466 0.000 135.182 0.000 310.946 0.023 44677.213 2.822 139.544 15.916 2453411.81064 3.51 K06C69K +cla m -1 -1 I L5c20PD 24.12 0.151 g 7.33 47.707 0.002 24 4.7948 0.102 0.354 0.338 0.926 44.980389 0.0083 0.063039 0.000268 1.687 0.000 66.511 0.018 266.115 0.380 3531.602 115.214 140.531 17.121 2453411.81228 2.80 K02CM4Z +cla m -1 -1 IH L5c21PD 23.75 0.198 g 7.11 46.186 0.002 32 2.0263 0.282 0.255 1.209 1.126 44.126005 0.0080 0.068045 0.000727 3.296 0.001 342.001 0.006 291.972 0.649 92193.042 195.298 140.712 16.798 2453411.81228 2.95 K05ET6E +cla m -1 -1 S L5c22 23.55 0.203 g 7.06 44.605 0.002 17 2.0128 0.108 0.099 0.347 0.188 43.990748 0.0125 0.084744 0.001410 1.389 0.000 26.525 0.044 216.003 0.236 81423.164 78.204 141.083 16.622 2453411.81228 2.97 K07DA1S +res N 4 3 S L5c23 24.19 0.088 g 8.85 34.379 0.001 16 11.2333 0.070 0.122 0.124 0.515 36.473497 0.0073 0.063565 0.000158 0.405 0.000 109.642 0.014 2.007 0.042 48092.807 7.630 141.044 15.460 2453411.81392 3.74 K05C81F +cla m -1 -1 S L5c24PD 23.84 0.398 g 7.54 42.737 0.002 24 8.0088 0.097 0.311 0.377 0.939 44.171950 0.0083 0.065197 0.000095 2.698 0.000 139.273 0.001 295.579 0.138 36481.395 33.989 140.609 15.333 2453411.81392 3.10 J99CF3U +cla m -1 -1 S L5i01 23.71 0.313 g 7.55 40.982 0.003 17 2.0094 0.167 0.182 0.733 0.515 42.777915 0.0064 0.046152 0.000555 3.303 0.001 52.045 0.004 164.791 1.454 46847.807 371.630 240.578 -21.315 2453502.94350 3.09 K06HC3A +cla m -1 -1 I L5i02PD 23.80 0.155 g 7.78 39.589 0.001 27 5.9799 0.079 0.157 0.271 0.214 46.012882 0.0059 0.216135 0.000130 10.460 0.000 61.830 0.000 241.743 0.021 66258.629 3.300 241.748 -21.227 2453502.94678 3.17 K01K76W +cla m -1 -1 S L5i03PD 23.80 0.242 g 7.98 37.695 0.002 21 5.0275 0.186 0.103 0.340 0.317 43.898185 0.0080 0.145688 0.000120 20.726 0.000 245.590 0.000 16.063 0.083 57052.309 17.879 243.858 -21.340 2453502.95334 3.12 K01K77O +det x -1 -1 S L5i04 23.14 0.119 g 7.28 38.099 0.001 19 10.9901 0.017 0.099 0.096 0.225 47.275244 0.0050 0.244201 0.000058 27.251 0.000 63.150 0.000 229.403 0.011 63017.377 2.077 243.610 -22.418 2453502.95497 3.21 K05JI6K +cla m -1 -1 I L5i05 23.71 0.073 g 7.16 44.620 0.017 16 2.9872 0.179 0.063 0.266 0.111 44.077094 0.0468 0.068484 0.001711 2.139 0.001 31.887 0.013 109.705 0.488 24869.436 179.452 243.983 -22.526 2453502.95498 2.73 K05JI5Y +res N 3 2 S L5i06PD 23.13 0.059 g 7.48 36.173 0.001 30 8.2408 0.125 0.024 0.396 0.176 39.507206 0.0030 0.156476 0.000050 15.616 0.000 248.483 0.000 64.744 0.024 66042.918 3.599 246.656 -21.855 2453502.96319 3.29 K01K77Q +cla m -1 -1 S L5i08 23.50 0.090 g 7.21 41.831 0.002 16 2.0094 0.051 0.107 0.158 0.263 44.635916 0.0096 0.094308 0.001026 4.141 0.001 63.766 0.002 238.327 0.564 66861.403 126.884 248.431 -22.403 2453502.96647 2.83 K05JI6J +det x -1 -1 I L5j02 23.28 0.124 g 6.86 43.135 0.003 20 2.9080 0.066 0.395 0.201 0.585 67.354055 0.0466 0.462792 0.000488 22.443 0.001 65.560 0.000 236.833 0.056 66043.022 6.036 239.843 -19.040 2453531.89687 2.60 K05L54C +cla m -1 -1 S L5j03 23.16 0.072 g 6.89 41.643 0.003 16 1.9327 0.089 0.103 0.245 0.187 44.314082 0.0157 0.067189 0.000572 7.919 0.001 70.662 0.001 198.865 1.010 60858.990 259.691 239.362 -19.153 2453531.89687 2.84 K05L54A +cla m -1 -1 IH L5j04 22.56 0.121 g 6.28 41.810 0.003 12 1.9302 0.030 0.082 0.104 0.245 43.689694 0.0170 0.047521 0.000659 3.006 0.001 96.056 0.014 173.227 1.729 60541.746 455.285 240.913 -19.040 2453531.90017 2.86 K05L54B +det x -1 -1 I L5r01 23.70 0.254 g 7.74 39.045 0.002 27 3.8910 0.201 0.099 0.449 0.410 153.761629 0.0904 0.746377 0.000137 20.447 0.000 306.114 0.001 32.537 0.029 52807.928 5.426 337.966 4.135 2453616.80423 3.24 K05R52H +cla m -1 -1 S L5s01PD 20.84 0.021 g 4.35 43.708 0.001 35 23.9200 0.164 0.164 0.201 0.599 42.027544 0.0036 0.106671 0.000028 23.931 0.000 280.095 0.000 309.721 0.032 24235.560 11.119 337.949 15.047 2453616.82908 2.97 K04S60B +det x -1 -1 I L7a02 23.50 0.328 g 7.55 38.903 0.001 17 3.1620 0.071 0.156 0.170 0.263 50.398033 0.0165 0.290541 0.000467 14.295 0.001 317.225 0.000 122.624 0.068 43918.716 9.030 133.743 19.222 2454119.80897 3.23 K06WK6G +sca x -1 -1 S L7a03 23.84 0.016 g 7.11 46.991 0.002 19 2.8476 0.122 0.175 0.411 0.419 59.613266 0.0435 0.439491 0.000646 4.575 0.001 327.938 0.003 248.628 0.014 72028.353 8.442 133.914 18.780 2454119.80897 2.67 K06BS4S +cla m -1 -1 S L7a04PD 23.25 0.101 g 6.08 51.774 0.002 34 7.1297 0.411 0.115 1.059 0.815 46.198229 0.0047 0.146393 0.000132 7.038 0.000 300.707 0.000 337.759 0.075 98884.655 24.333 130.872 17.137 2454119.83928 2.50 K02CO8Y +cla m -1 -1 I L7a05 23.77 0.303 g 7.53 41.807 0.001 21 5.0132 0.194 0.102 0.399 0.248 43.681525 0.0068 0.045164 0.000086 7.981 0.000 116.078 0.001 28.455 0.328 58476.771 87.316 131.253 19.832 2454119.81365 2.91 K05B49V +cla m -1 -1 S L7a06 23.72 0.067 g 7.23 44.357 0.002 19 2.1791 0.138 0.094 0.420 0.329 43.499576 0.0050 0.042456 0.003473 2.056 0.000 58.110 0.027 188.279 2.262 87660.748 660.397 129.885 20.426 2454119.81674 2.99 K06WK6F +cla m -1 -1 S L7a07 23.43 0.249 g 7.19 41.946 0.002 16 5.0131 0.058 0.082 0.143 0.245 44.080188 0.0084 0.078180 0.000200 2.103 0.000 58.990 0.014 121.798 0.192 68074.335 45.044 129.871 20.466 2454119.81674 3.04 K05B49W +res N 4 3 I L7a10 23.65 0.001 g 8.77 30.603 0.001 22 4.9551 0.086 0.513 0.413 0.748 36.657304 0.0040 0.188072 0.000044 17.152 0.000 311.854 0.000 209.680 0.047 59036.161 6.757 132.631 18.432 2454119.81997 4.03 K05GM8H +cla m -1 -1 S L7a11PD 23.27 0.133 g 6.25 49.315 0.001 46 7.0285 0.080 0.199 0.317 0.551 47.045919 0.0037 0.147499 0.000121 19.270 0.000 307.259 0.000 55.594 0.031 18502.074 12.409 129.284 18.767 2454119.82759 2.84 K00CA5O +xxx x -1 -1 x l3f05nt 23.65 0.170 g 7.76 38.554 2.818 4 0.0082 0.092 0.048 0.182 0.094 39.596763 20.7993 0.026636 0.579012 25.893 10.876 189.614 1.437 12.070 1273.444 54828.149 304898.710 192.346 -3.703 2452722.98130 3.41 ------- +xxx x -1 -1 x l3q05nt 23.51 0.126 g 7.05 43.953 2.546 4 0.0113 0.037 0.047 0.074 0.095 44.883509 23.3049 0.021042 0.563063 2.929 0.897 182.053 11.488 136.857 1603.007 49994.199 468808.772 330.193 -10.411 2452882.82951 2.78 ------- +xxx x -1 -1 x l3q07nt 23.92 0.191 g 7.32 45.514 2.692 7 0.0113 0.097 0.173 0.337 0.464 46.563301 24.1731 0.022719 0.562999 15.794 5.791 146.601 1.071 175.265 1487.328 50526.285 457637.527 331.642 -12.503 2452882.83777 3.09 ------- +xxx x -1 -1 x l3w14nt 23.40 0.200 g 8.70 29.280 3.899 3 0.0001 0.047 0.105 0.071 0.158 30.268997 16.2312 0.033226 0.597713 2.316 19.617 254.934 10.260 168.043 1029.129 51291.561 162465.527 71.973 22.456 2452989.82962 4.31 ------- +xxx x -1 -1 x l3w19nt 23.70 0.300 g 7.35 43.087 6.793 3 0.0001 0.003 0.088 0.005 0.132 44.049657 22.8804 0.021980 0.577759 4.588 35.143 269.286 87.246 162.615 1539.601 51244.154 436096.622 76.820 23.804 2452989.83624 3.06 ------- +xxx x -1 -1 x l4h03nt 23.55 0.012 g 7.40 40.734 2.658 4 0.0027 0.035 0.018 0.070 0.036 41.672142 21.7326 0.023342 0.570890 13.885 5.544 24.141 0.870 162.117 1447.748 49013.739 376586.000 200.282 -7.988 2453121.82210 3.02 ------- +xxx x -1 -1 x l4h17nt 23.63 0.063 g 7.17 44.028 2.511 4 0.0027 0.053 0.042 0.104 0.084 44.937717 23.3148 0.020530 0.561849 1.803 0.367 131.367 50.364 67.325 1645.627 50295.181 481672.039 206.782 -9.131 2453121.83769 2.80 ------- +xxx x -1 -1 x l4h19nt 23.72 0.125 g 8.11 36.194 2.778 4 0.0027 0.027 0.046 0.055 0.092 37.260343 19.6963 0.028826 0.583744 24.743 10.469 207.080 0.705 354.511 1179.533 51565.703 256607.743 206.604 -10.224 2453121.83911 3.64 ------- +xxx x -1 -1 x l4k08nt 24.26 0.293 g 9.30 30.923 2.433 4 0.0028 0.093 0.095 0.188 0.190 32.066642 17.1871 0.036509 0.587414 5.357 2.100 36.496 5.423 180.839 938.304 50947.403 160192.019 226.866 -18.917 2453149.86017 4.19 ------- +xxx x -1 -1 x l4o02nt 23.52 0.089 g 7.17 42.566 0.314 7 0.8900 0.053 0.050 0.162 0.078 46.724686 15.1755 0.166455 1.048451 3.694 0.052 309.241 0.326 44.170 176.393 69277.497 23962.027 288.561 -23.769 2453210.93219 2.86 ------- +xxx x -1 -1 x l4q01nt 23.81 0.056 g 7.14 46.109 7.360 3 0.0002 0.054 0.011 0.079 0.017 46.998590 24.3196 0.019420 0.578658 1.181 7.032 56.983 1705.297 245.583 2432.915 49117.179 545591.096 318.250 -17.343 2453236.84692 2.79 ------- +xxx x -1 -1 x l4q02nt 23.76 0.247 g 7.69 40.130 2.868 4 0.0028 0.096 0.088 0.187 0.172 41.048390 21.4778 0.022923 0.577810 22.642 9.483 319.772 2.059 342.291 1475.887 49935.084 375773.502 318.137 -18.098 2453236.84692 3.12 ------- +xxx x -1 -1 x l4q04nt 23.70 0.113 g 7.28 43.550 2.559 5 0.0028 0.167 0.022 0.248 0.048 44.530583 23.1503 0.022441 0.563684 3.251 1.584 122.086 7.009 182.723 1506.146 49948.639 433345.957 318.661 -16.831 2453236.85278 2.84 ------- +xxx x -1 -1 x l4q08nt 23.30 0.110 g 7.67 36.543 5.517 3 0.0002 0.081 0.053 0.122 0.080 37.560311 19.8230 0.027195 0.594165 19.018 29.811 136.724 6.931 178.797 1249.776 52009.942 276080.650 323.542 -15.983 2453236.86744 3.51 ------- +xxx x -1 -1 x l4v07nt 23.62 0.115 g 7.01 45.717 7.800 3 0.0001 0.065 0.019 0.097 0.029 46.683473 24.1816 0.020817 0.579722 9.666 40.663 41.973 2.164 353.447 1621.981 51443.865 503035.907 38.943 15.152 2453318.88752 2.87 ------- +xxx x -1 -1 x l4v16nt 24.30 0.431 g 7.77 44.821 7.426 3 0.0001 0.004 0.044 0.005 0.066 45.787225 23.7375 0.021277 0.578689 5.368 38.262 223.404 22.784 169.364 1587.500 51076.213 477781.355 37.567 15.128 2453318.88264 2.92 ------- +xxx x -1 -1 x l4v17nt 24.19 0.197 g 8.47 37.334 8.357 3 0.0001 0.013 0.030 0.019 0.045 38.324387 20.3225 0.025911 0.638360 36.844 54.296 41.164 1.268 356.583 1310.222 52350.463 299150.168 39.080 15.818 2453318.88913 3.63 ------- +xxx x -1 -1 x l4v19nt 23.99 0.427 g 9.45 28.642 3.759 3 0.0001 0.023 0.074 0.034 0.110 29.663844 15.9788 0.034474 0.599209 4.246 18.815 213.399 51.185 188.953 994.222 52945.777 151680.392 42.478 15.412 2453318.89728 4.46 ------- +xxx x -1 -1 x l5c01nt 24.05 0.554 g 8.29 37.428 3.496 3 0.0003 0.057 0.041 0.085 0.062 38.403409 20.1725 0.025660 0.580622 24.388 17.754 130.311 1.629 353.619 1321.883 51445.275 302827.158 134.801 18.069 2453411.79429 3.46 ------- +xxx x -1 -1 x l5c04nt 24.21 0.332 g 8.39 37.952 3.065 3 0.0003 0.003 0.149 0.004 0.223 38.913248 20.3759 0.024985 0.569537 3.689 12.020 118.559 49.360 6.012 1358.120 51353.302 317403.272 135.871 17.806 2453411.79754 3.41 ------- +xxx x -1 -1 x l7a12nt 23.86 0.127 g 8.62 33.209 2.928 6 0.0002 0.299 0.054 0.486 0.109 34.198990 18.1132 0.029360 0.579510 6.341 11.677 117.519 19.185 20.220 1158.764 56018.485 221512.146 130.759 19.386 2454119.82608 3.79 ------- +cla m -1 -1 S HL6r1 22.97 0.067 r 6.79 40.771 0.002 20 2.8501 0.097 0.110 0.403 0.358 40.385613 0.0077 0.038584 0.000446 21.057 0.001 211.259 0.002 23.279 0.271 27410.864 74.848 337.687 8.367 2453996.92750 3.21 K07RV4L +det x -1 -1 I HL6r2 23.60 0.058 r 7.71 38.188 0.001 26 7.0497 0.140 0.459 0.417 0.796 49.758679 0.0088 0.253884 0.000107 25.048 0.000 310.362 0.000 68.700 0.020 60340.168 4.033 340.771 8.761 2453996.92563 3.18 K06Sf5H +res N 2 1 SH HL6r3 23.27 0.033 r 7.75 35.007 0.001 30 7.0498 0.150 0.235 0.430 0.524 47.931346 0.0064 0.291508 0.000073 31.376 0.000 186.954 0.000 183.080 0.014 59375.076 2.473 339.270 6.329 2453996.90385 3.72 K06Sf5G +det x -1 -1 I HL6r4 22.70 0.173 r 6.33 42.622 0.001 33 7.0389 0.140 0.212 0.328 1.199 70.813767 0.0216 0.484623 0.000155 20.884 0.000 209.422 0.000 75.833 0.009 42557.035 1.431 338.169 7.846 2453996.90574 2.91 K07RV4M +cla m -1 -1 S HL6r5 23.73 0.120 r 7.40 42.266 0.002 17 1.9518 0.148 0.247 0.595 0.424 42.599421 0.0083 0.027342 0.001135 18.517 0.001 208.990 0.003 58.999 0.754 33729.986 175.922 340.182 6.265 2453996.90994 3.02 K06Sf5E +cla m -1 -1 S HL6r6 23.87 0.088 r 7.70 40.713 0.003 16 1.9518 0.080 0.182 0.218 0.310 43.197883 0.0150 0.077006 0.000964 15.712 0.000 269.148 0.005 121.140 0.649 65149.510 150.287 339.971 8.449 2453996.91929 3.06 K06Sf5F +res N 5 1 I HL7c1 23.20 0.058 r 7.17 39.100 0.001 41 6.0402 0.387 0.164 0.496 0.426 87.493815 0.0344 0.618771 0.000160 23.237 0.000 102.286 0.001 9.961 0.005 45267.518 0.478 171.828 26.332 2454180.87722 2.87 K07F51N +cla m -1 -1 S HL7c2 23.00 0.153 r 6.59 42.557 0.001 26 8.0053 0.178 0.126 0.624 0.451 45.547957 0.0086 0.160926 0.000202 29.222 0.000 106.633 0.001 342.223 0.025 36258.601 7.513 171.427 30.686 2454180.90321 2.84 K07F51M +det x -1 -1 IH HL7c3 22.87 0.186 r 6.99 37.562 0.001 24 8.0053 0.355 0.356 0.770 0.763 50.403067 0.0077 0.287912 0.000057 27.945 0.000 43.225 0.000 150.465 0.032 61465.070 5.870 171.843 32.041 2454180.90836 3.39 K07F51O +det x -1 -1 S HL7j1 23.07 0.186 r 7.03 38.848 0.001 23 7.7790 0.094 0.121 0.351 0.402 72.361527 0.0225 0.469690 0.000149 31.540 0.000 137.807 0.000 117.995 0.013 57447.709 2.622 245.439 10.467 2454263.81694 2.97 K07L38J +sca x -1 -1 S HL7j2 23.37 0.033 r 7.50 37.377 0.001 44 8.9070 0.082 0.217 0.591 0.752 133.932936 0.0380 0.725235 0.000074 34.197 0.000 122.926 0.000 130.152 0.004 56974.507 0.602 245.362 10.487 2454263.81694 3.12 K07L38H +res N 5 2 S HL7j3 22.93 0.088 r 7.68 32.219 0.001 34 7.7791 0.126 0.225 0.415 0.614 55.452064 0.0089 0.434019 0.000086 32.579 0.000 139.630 0.000 75.869 0.005 50647.250 0.721 244.922 12.074 2454263.81068 3.71 K07L38G +res N 5 1 I HL7j4 22.53 0.088 r 5.54 48.432 0.001 54 6.0689 0.168 0.104 0.551 0.349 87.569525 0.0275 0.555223 0.000171 35.825 0.000 169.294 0.001 12.737 0.007 39707.498 0.918 246.382 14.100 2454263.82707 2.47 K07L38F +cla o -1 -1 S HL7j5 23.27 0.067 r 6.93 41.799 0.001 24 7.7790 0.265 0.190 0.875 0.494 54.049813 0.0097 0.226754 0.000118 35.966 0.000 193.529 0.001 53.665 0.037 53729.730 9.019 246.549 8.453 2454263.83334 2.91 K07L38E +res N 22 15 I HL7p1 23.20 0.115 r 7.30 37.952 0.001 32 6.0727 0.192 0.335 0.692 0.537 38.817011 0.0032 0.067756 0.000086 25.479 0.000 232.249 0.001 180.436 0.066 70812.984 12.753 331.697 15.292 2454349.80821 3.42 K07RW6Y +res N 17 9 I HL7p2 23.70 0.100 r 8.16 35.127 0.002 17 1.7909 0.083 0.163 0.216 0.535 45.922682 0.0132 0.235493 0.000157 20.500 0.000 264.306 0.003 72.051 0.233 53533.533 43.888 333.496 11.026 2454349.80317 3.43 K07RW6W +cla m -1 -1 S HL7p3 23.30 0.300 r 7.25 39.343 0.001 22 1.7934 0.116 0.168 0.317 0.859 46.096206 0.0074 0.156517 0.000328 25.029 0.000 264.444 0.003 52.385 0.248 48812.282 54.881 331.534 15.030 2454349.80821 3.29 K07RW6X +sca x -1 -1 S HL8a1 22.93 0.233 r 6.29 44.517 0.001 24 7.2032 0.123 0.199 0.595 0.538 32.392864 0.0023 0.374396 0.000085 42.826 0.000 50.544 0.001 253.120 0.043 87750.764 7.420 138.145 60.228 2454473.86123 3.02 K08AD8U +det x -1 -1 S HL8k1 24.57 0.120 r 7.91 44.453 0.001 35 5.1773 0.120 0.242 0.383 0.512 87.348572 0.0203 0.543117 0.000137 48.815 0.000 153.059 0.000 146.559 0.020 64524.370 3.215 263.826 25.038 2454597.98591 2.65 K08J41O +sca x -1 -1 S HL8n1 23.73 0.033 r 8.52 31.849 0.000 48 5.3495 0.108 0.217 0.399 0.510 41.531221 0.0041 0.491379 0.000069 103.447 0.000 260.968 0.000 133.097 0.004 64629.370 0.435 253.643 19.381 2454617.85234 5.12 K08K42V +sca x -1 -1 I HL9m1 21.13 0.088 r 9.57 12.872 0.000 71 4.0303 0.171 0.169 0.278 0.314 348.905416 0.1571 0.968470 0.000014 68.016 0.000 220.228 0.000 128.662 0.000 56335.536 0.011 283.374 48.929 2455007.97918 8.44 K09M09S +cen x -1 -1 I mah01 24.20 0.000 r 10.61 22.432 0.001 19 1.0429 0.084 0.107 0.359 0.288 30.072429 0.0028 0.259122 0.000159 53.886 0.001 20.010 0.001 34.380 0.195 57566.284 18.396 23.809 28.215 2456220.86078 6.11 K12UH7W +res N 1 1 S mah02 23.67 0.067 r 8.89 29.578 0.001 30 1.4614 0.085 0.070 0.231 0.201 30.023515 0.0044 0.072277 0.000854 20.833 0.000 265.668 0.002 204.284 0.104 68166.873 4.907 23.280 28.683 2456220.85652 4.27 K12UH7V +res N 3 2 S mah03 24.37 0.033 r 9.45 30.482 0.002 18 1.2344 0.036 0.055 0.173 0.172 39.303880 0.0103 0.224762 0.000267 21.876 0.001 261.872 0.002 130.578 0.705 56470.979 108.594 24.230 28.805 2456220.86936 4.11 K12UH7G +res N 5 2 I mah04 24.10 0.058 r 8.62 34.429 0.001 25 1.4585 0.062 0.082 0.190 0.299 55.196603 0.0740 0.433338 0.001267 15.632 0.000 298.867 0.003 46.945 0.159 48559.586 16.450 25.969 27.937 2456221.89663 3.61 K12UH7J +res N 11 7 I mah05 22.90 0.000 r 7.22 36.474 0.001 30 1.4643 0.074 0.069 0.185 0.232 40.666012 0.0087 0.116618 0.000780 19.236 0.000 272.168 0.003 147.620 0.643 62316.150 128.432 23.213 28.344 2456220.86078 3.50 K12UH7L +det x -1 -1 IH mah06 24.20 0.100 r 8.48 36.605 0.002 25 1.4665 0.071 0.082 0.207 0.197 56.088975 0.0494 0.366517 0.001076 17.214 0.001 271.782 0.003 92.511 0.325 50735.469 55.269 26.969 27.174 2456221.91369 3.43 K12UH7S +cla m -1 -1 S mah07 22.95 0.050 r 7.25 36.611 0.002 29 1.4667 0.094 0.063 0.279 0.204 43.181427 0.0097 0.158914 0.000614 20.094 0.001 341.291 0.002 71.189 0.652 59873.200 132.287 24.766 28.006 2456220.87365 3.51 K12UH7N +det x -1 -1 I mah08 24.05 0.050 r 8.35 36.784 0.001 25 1.4560 0.086 0.063 0.235 0.156 92.321941 0.1656 0.617263 0.000887 24.852 0.001 251.482 0.002 162.468 0.172 60322.956 26.524 24.334 27.989 2456220.87365 3.41 K12UH7K +res N 17 10 I mah09 24.03 0.088 r 7.94 39.922 0.002 27 1.4585 0.057 0.084 0.245 0.210 42.823392 0.0143 0.098642 0.001688 16.601 0.001 280.170 0.004 59.871 0.781 43723.386 160.589 25.444 27.402 2456221.90089 3.20 K12UH7P +det x -1 -1 I mah10 23.83 0.033 r 7.74 40.257 0.002 26 1.4560 0.088 0.079 0.256 0.177 51.970057 0.0731 0.312457 0.002009 19.603 0.001 330.160 0.003 120.092 0.237 67748.156 25.547 23.463 29.111 2456220.85652 3.23 K12UH7Q +xxx x -1 -1 x mah11nt 24.17 0.088 r 8.27 38.339 4.146 3 0.0002 0.035 0.081 0.052 0.121 39.292151 20.5413 0.024508 0.573417 14.614 3.683 315.660 80.083 87.978 1383.856 58192.717 328501.024 27.428 27.082 2456221.91369 3.29 ------- +cla m -1 -1 S mah12 24.57 0.167 r 8.30 41.687 0.002 19 1.4586 0.077 0.119 0.176 0.288 43.548763 0.0112 0.058274 0.002153 16.177 0.000 287.738 0.006 56.905 2.053 43990.595 504.822 23.641 27.176 2456220.86510 3.23 K12UH7M +cla m -1 -1 IH mah13 24.45 0.150 r 8.11 42.380 0.002 25 1.4560 0.084 0.064 0.255 0.241 41.562084 0.0051 0.035094 0.002027 16.446 0.000 289.959 0.006 336.026 2.382 22542.167 649.401 25.432 28.128 2456221.89663 3.07 K12UH7O +res N 23 6 IH mah14 24.23 0.088 r 7.73 44.388 0.003 26 1.4560 0.072 0.101 0.211 0.230 73.787390 0.3243 0.491581 0.003349 16.353 0.000 291.500 0.006 158.157 0.249 68245.377 18.528 25.403 28.108 2456221.89663 2.90 K12UH7R +res N 3 2 S mah15 24.20 0.200 r 7.55 45.464 0.002 27 1.4559 0.087 0.076 0.204 0.213 39.392371 0.0177 0.190726 0.001195 23.749 0.001 255.149 0.003 346.198 0.626 21340.843 160.100 26.817 28.406 2456221.90942 2.83 K12UH7H +cen x -1 -1 S mal01 22.57 0.033 r 9.56 20.296 0.000 33 1.4722 0.056 0.056 0.137 0.174 19.091885 0.0028 0.176854 0.000395 10.811 0.000 222.498 0.000 287.469 0.068 64381.360 6.862 27.666 13.909 2455858.91192 6.27 K11Q99F +res N 3 2 S mal02 22.30 0.000 r 7.72 28.724 0.000 43 2.0894 0.059 0.085 0.205 0.286 39.270353 0.0035 0.271787 0.000086 4.652 0.000 289.175 0.005 88.353 0.058 54193.649 7.782 25.741 15.740 2455860.78698 4.36 K11Uf1C +res N 3 2 S mal03 24.43 0.088 r 9.83 28.997 0.001 19 2.0893 0.147 0.086 0.344 0.192 39.292648 0.0040 0.262943 0.000069 12.623 0.001 19.330 0.001 15.395 0.084 56688.516 11.806 25.729 12.950 2455858.92047 4.28 K11Uf0U +res N 3 2 S mal04 23.73 0.088 r 9.00 29.828 0.001 29 2.1003 0.104 0.085 0.350 0.173 39.222939 0.0036 0.244589 0.000089 8.645 0.000 237.962 0.002 167.515 0.093 58007.263 13.493 27.509 15.660 2455860.77825 4.19 K11Uf1A +res N 3 2 S mal05 22.50 0.000 r 7.76 29.862 0.001 26 2.1766 0.068 0.092 0.174 0.201 39.420581 0.0069 0.259110 0.000251 4.308 0.000 332.153 0.006 30.141 0.090 51936.278 11.981 25.833 14.710 2455858.92476 4.16 K11Uf0V +res N 3 2 S mal06 24.43 0.033 r 9.58 30.875 0.001 21 2.2693 0.081 0.078 0.193 0.251 39.412004 0.0086 0.268526 0.000376 17.320 0.001 27.050 0.000 50.367 0.086 62610.166 9.943 28.399 12.997 2455858.90763 4.10 K11Uf0R +res N 3 2 S mal07 24.23 0.088 r 9.35 30.974 0.001 26 2.0071 0.090 0.109 0.277 0.227 39.399608 0.0077 0.263650 0.000311 3.246 0.001 10.821 0.004 335.396 0.060 49041.457 6.638 29.834 13.487 2455858.90337 4.05 K11Uf0Q +res N 3 1 S mal08 24.03 0.067 r 9.10 31.226 0.002 21 1.4308 0.082 0.118 0.235 0.323 62.430542 0.0106 0.499834 0.000083 22.040 0.001 24.813 0.000 9.439 0.276 55818.951 39.895 30.317 16.341 2455860.81804 4.12 K11Uf1S +res N 4 3 S mal09 24.03 0.067 r 9.05 31.606 0.001 24 1.4422 0.111 0.100 0.236 0.245 36.433437 0.0029 0.132951 0.000118 6.812 0.001 9.788 0.003 27.400 0.661 56710.041 111.729 28.930 14.694 2455858.93755 4.11 K11Uf2Z +res N 4 3 S mal10 23.30 0.000 r 8.27 31.794 0.003 19 1.2866 0.076 0.047 0.235 0.114 36.527842 0.0090 0.132867 0.001034 5.437 0.000 292.353 0.013 83.477 1.690 53378.397 283.658 26.243 16.801 2455860.79124 4.01 K11Uf3A +xxx x -1 -1 x mal11nt 24.53 0.088 r 9.39 32.811 0.532 11 0.0986 0.072 0.119 0.216 0.319 38.689001 9.7015 0.162268 0.453720 23.421 2.019 25.504 0.674 31.713 247.617 60080.438 41346.486 29.183 15.247 2455860.77399 4.02 K11Uf2U +res N 3 2 S mal12 23.40 0.058 r 8.21 33.293 0.001 32 2.2503 0.069 0.106 0.200 0.215 39.602513 0.0044 0.174956 0.000295 2.733 0.001 241.740 0.006 179.170 0.200 60931.339 33.635 29.633 13.577 2455858.90337 3.86 K11Uf0P +res N 5 3 S mal13 24.20 0.115 r 8.98 33.447 0.002 23 1.4395 0.120 0.094 0.332 0.256 42.340597 0.0069 0.210384 0.000257 3.234 0.000 326.453 0.017 60.998 0.685 55089.831 121.538 28.472 14.910 2455860.77399 3.74 K11Uf1N +res N 5 3 S mal14 23.80 0.058 r 8.50 33.891 0.001 26 1.4395 0.044 0.088 0.140 0.237 42.281965 0.0113 0.206050 0.000596 5.289 0.000 310.100 0.010 98.933 0.518 59267.158 91.169 26.011 16.512 2455860.79124 3.72 K11Uf1O +res N 5 3 S mal15 21.93 0.033 r 6.65 33.939 0.001 27 1.4724 0.073 0.084 0.238 0.258 42.316514 0.0229 0.232786 0.001079 13.424 0.001 219.278 0.001 210.287 0.335 62702.039 50.553 27.593 13.656 2455858.91192 3.74 K10TI2O +res N 3 2 S mal16 24.40 0.058 r 9.09 34.137 0.002 24 1.4313 0.079 0.095 0.210 0.185 39.312316 0.0077 0.136442 0.000669 8.590 0.001 12.404 0.002 2.932 0.844 52510.286 156.619 29.564 15.392 2455860.76973 3.70 K11Uf0Y +res N 3 2 S mal17 23.70 0.058 r 8.26 35.150 0.001 30 4.1122 0.055 0.072 0.158 0.147 39.514146 0.0063 0.255656 0.000193 11.876 0.000 20.577 0.000 290.401 0.011 42909.427 2.622 26.816 13.150 2455858.91621 3.66 K11Uf0S +res N 19 10 I mal18 24.20 0.058 r 8.71 35.636 0.002 18 1.4504 0.079 0.084 0.273 0.217 46.139736 0.0198 0.238570 0.000852 27.041 0.001 214.057 0.000 198.344 0.547 60032.777 101.001 28.279 13.332 2455858.91192 3.62 K11Uf1H +res N 10 3 I mal19 23.03 0.033 r 7.50 35.912 0.001 22 1.4311 0.058 0.066 0.158 0.177 67.321317 0.0771 0.482854 0.000905 16.712 0.001 219.944 0.000 197.547 0.245 60171.077 39.303 30.192 14.549 2455858.94181 3.53 K11Uf2Q +det x -1 -1 I mal20 24.17 0.145 r 8.59 36.158 0.002 20 1.4395 0.076 0.085 0.150 0.202 50.074947 0.0560 0.314096 0.001632 17.873 0.001 15.280 0.001 54.225 0.410 62768.737 64.217 27.182 16.776 2455860.80517 3.56 K11Uf2R +res N 3 2 S mal21 23.70 0.000 r 8.13 36.258 0.001 28 2.1738 0.076 0.108 0.249 0.341 39.404540 0.0192 0.327945 0.000672 17.479 0.001 223.962 0.000 263.515 0.011 70270.678 9.919 29.530 15.825 2455860.76973 3.59 K11Uf0X +res N 2 1 S mal22 24.60 0.100 r 8.99 36.574 0.002 14 1.3792 0.079 0.092 0.283 0.307 47.612442 0.0900 0.319787 0.002696 9.355 0.001 17.099 0.003 73.288 0.321 66099.629 29.818 29.255 14.673 2455858.93755 3.64 K11Uf1E +res N 3 1 IH mal23 24.00 0.058 r 8.32 37.042 0.001 17 4.0383 0.090 0.095 0.220 0.214 61.841493 0.0138 0.433397 0.000152 26.582 0.000 23.364 0.000 45.048 0.041 62204.786 6.453 28.686 16.770 2455860.81377 3.61 K11Uf1R +cla m -1 -1 S mal24 23.43 0.033 r 7.73 37.131 0.002 29 1.4476 0.079 0.081 0.220 0.195 40.737407 0.0071 0.092034 0.000727 26.365 0.001 218.923 0.001 151.607 1.328 51996.797 287.227 25.348 15.742 2455860.78698 3.54 K11Uf2K +res N 2 1 S mal25 24.05 0.050 r 8.34 37.267 0.002 31 1.4313 0.077 0.068 0.316 0.220 47.728107 0.0877 0.344476 0.002377 5.872 0.001 261.775 0.010 195.753 0.174 67591.230 3.849 25.992 15.848 2455860.78698 3.42 K11Uf1F +det x -1 -1 IH mal26 23.80 0.058 r 8.09 37.450 0.002 23 1.4422 0.086 0.093 0.179 0.263 56.343378 0.0326 0.344260 0.000724 19.721 0.001 23.081 0.000 26.434 0.380 59496.893 72.823 27.561 14.323 2455858.93329 3.43 K11Uf2P +res N 5 3 S mal27 23.90 0.100 r 8.19 37.500 0.002 21 1.4338 0.093 0.097 0.216 0.307 42.290464 0.0089 0.118938 0.000743 5.141 0.001 21.604 0.003 30.012 1.027 60173.199 221.212 29.398 13.020 2455858.90337 3.41 K11Uf1J +res N 3 2 S mal28 23.80 0.058 r 8.06 37.600 0.001 30 2.1631 0.066 0.113 0.199 0.287 39.578271 0.0138 0.217496 0.000727 10.752 0.001 17.914 0.001 285.455 0.014 39497.528 13.251 29.422 15.045 2455860.76973 3.49 K11Uf0W +cla i -1 -1 I mal29 23.40 0.000 r 7.61 37.892 0.002 26 1.4146 0.071 0.071 0.266 0.197 38.039160 0.0246 0.128766 0.002599 27.787 0.001 21.128 0.000 273.127 0.125 36565.721 81.731 25.411 15.152 2455860.78698 3.52 K11Uf2O +res N 3 2 S mal30 21.87 0.033 r 6.10 37.958 0.001 31 2.2717 0.092 0.075 0.229 0.231 39.307760 0.0187 0.210805 0.001016 12.842 0.001 26.610 0.000 272.045 0.028 38634.445 22.650 29.058 13.136 2455858.90763 3.42 K04V75T +res N 3 2 S mal31 24.00 0.000 r 8.16 38.402 0.001 26 2.3184 0.086 0.079 0.245 0.227 39.520545 0.0133 0.124484 0.001159 3.833 0.000 298.461 0.010 8.437 0.041 38191.667 16.937 27.475 15.512 2455860.77825 3.52 K11Uf0Z +res N 3 2 I mal32 23.77 0.033 r 7.91 38.548 0.001 25 2.0862 0.076 0.080 0.281 0.252 39.600536 0.0056 0.043646 0.000750 14.900 0.001 13.374 0.001 322.525 0.612 43039.790 131.718 26.307 15.687 2455860.78262 3.42 K11Uf1B +res N 4 1 S mal33 24.20 0.100 r 8.34 38.569 0.003 17 1.4228 0.063 0.090 0.131 0.205 75.785556 0.0220 0.491166 0.000149 13.435 0.001 231.961 0.002 160.345 0.495 56178.002 98.469 27.269 16.537 2455860.80517 3.21 K11Uf1P +res N 5 3 S mal34 24.27 0.088 r 8.36 39.189 0.002 16 1.4340 0.086 0.091 0.216 0.263 42.223676 0.0047 0.071898 0.000092 1.974 0.000 308.534 0.043 82.373 2.385 56151.282 572.392 26.861 13.224 2455858.91621 3.26 K11Uf1L +res N 3 2 S mal35 21.50 0.000 r 5.57 39.355 0.001 27 4.1122 0.045 0.096 0.097 0.207 39.512594 0.0040 0.178507 0.000226 13.497 0.000 19.795 0.000 109.099 0.017 75569.660 6.173 26.827 13.695 2455858.91621 3.36 K11Uf0T +cla m -1 -1 I mal36 24.60 0.173 r 8.65 39.507 0.003 12 1.1468 0.090 0.118 0.166 0.311 46.250117 0.0110 0.147643 0.000843 2.956 0.001 252.563 0.024 146.427 2.231 58270.138 519.823 25.905 12.975 2455858.92047 3.26 K11Uf2A +cla m -1 -1 I mal37 24.23 0.133 r 8.27 39.653 0.002 23 1.3793 0.118 0.137 0.275 0.353 42.432680 0.0185 0.098398 0.002359 7.210 0.001 24.163 0.002 315.718 1.041 43456.458 209.011 30.125 13.445 2455858.90337 3.27 K11Uf1X +cla m -1 -1 IH mal38 24.40 0.153 r 8.35 40.339 0.002 27 1.4309 0.123 0.099 0.313 0.249 45.382779 0.0219 0.131928 0.001813 10.729 0.001 231.692 0.002 124.064 1.022 46961.974 225.627 29.765 15.901 2455860.81804 3.36 K11Uf2M +cla m -1 -1 S mal39 23.80 0.058 r 7.74 40.517 0.002 26 1.4723 0.098 0.067 0.230 0.145 43.408021 0.0058 0.070503 0.000850 3.132 0.001 337.472 0.019 32.829 1.774 50639.411 441.022 27.930 14.237 2455858.93329 3.19 K11Uf2C +cla m -1 -1 S mal40 23.13 0.033 r 7.03 40.875 0.002 24 1.4339 0.066 0.064 0.291 0.162 43.048298 0.0116 0.070517 0.001847 7.737 0.001 14.293 0.003 329.394 1.353 43929.543 313.333 27.994 13.942 2455858.93329 3.17 J99RL5U +cla i -1 -1 S mal41 24.47 0.067 r 8.36 40.960 0.004 13 1.2892 0.059 0.075 0.164 0.206 38.960081 0.0183 0.057848 0.002627 20.411 0.002 216.340 0.001 325.615 5.440 93092.918 1343.401 25.278 13.703 2455858.92047 3.13 K11Uf2N +cla m -1 -1 S mal42 22.57 0.033 r 6.43 41.288 0.002 23 1.3795 0.070 0.119 0.191 0.387 44.061145 0.0047 0.063950 0.000495 2.122 0.002 8.325 0.019 34.887 2.643 58648.018 686.860 30.029 13.190 2455858.90337 3.13 K01RE3Z +cla m -1 -1 S mal43 24.07 0.033 r 7.92 41.355 0.002 23 1.4340 0.123 0.079 0.228 0.201 43.362997 0.0132 0.066840 0.002121 4.419 0.001 20.174 0.004 323.075 1.529 43238.873 359.215 29.926 13.229 2455858.90337 3.15 K11Uf1V +cla m -1 -1 S mal44 24.17 0.033 r 8.01 41.372 0.002 22 1.4313 0.077 0.091 0.177 0.246 42.603289 0.0268 0.116416 0.002709 15.118 0.002 21.517 0.001 94.399 0.213 75304.677 12.265 30.145 15.790 2455860.76973 3.17 K11Uf2H +res N 3 2 S mal45 23.07 0.033 r 6.90 41.480 0.001 28 2.2668 0.064 0.061 0.264 0.191 39.212242 0.0272 0.288434 0.001143 15.700 0.001 19.081 0.001 131.877 0.109 77058.855 44.885 29.485 16.301 2455860.81804 3.20 K11Uf1D +cla m -1 -1 I mal46 24.53 0.167 r 8.37 41.526 0.002 20 1.4340 0.090 0.114 0.264 0.299 43.839053 0.0391 0.165471 0.002631 4.529 0.002 18.484 0.005 94.657 0.169 74173.180 14.681 30.075 13.468 2455858.90337 3.28 K11Uf1W +res N 2 1 S mal47 24.57 0.133 r 8.33 41.987 0.001 21 3.9566 0.147 0.080 0.365 0.194 47.693004 0.0084 0.141996 0.000276 10.691 0.000 238.834 0.001 114.086 0.110 46437.643 25.154 26.561 16.561 2455860.80517 3.02 K11Uf1G +cla m -1 -1 S mal48 23.83 0.033 r 7.57 42.436 0.002 33 1.4313 0.082 0.095 0.229 0.306 46.451000 0.0339 0.155030 0.002303 2.496 0.000 303.964 0.028 24.904 0.407 40158.170 58.463 29.832 14.893 2455860.76973 3.07 K11Uf2G +cla m -1 -1 I mal49 23.73 0.033 r 7.41 42.833 0.002 21 1.4395 0.071 0.104 0.170 0.195 43.028360 0.0215 0.083076 0.002884 10.371 0.002 239.455 0.005 60.139 0.104 32305.258 103.291 27.842 16.754 2455860.80951 3.07 K11Uf2L +cla m -1 -1 S mal50 24.30 0.200 r 7.98 42.997 0.002 17 1.4338 0.057 0.071 0.157 0.193 42.030971 0.0066 0.029441 0.001841 29.757 0.002 27.031 0.000 147.942 4.534 94556.742 1254.021 28.820 14.932 2455860.77399 3.12 K11Uf2J +cla m -1 -1 S mal51 23.97 0.088 r 7.64 43.191 0.002 25 1.4423 0.101 0.052 0.245 0.119 44.217924 0.0151 0.064180 0.002442 1.907 0.000 309.431 0.040 154.113 0.723 75286.666 137.994 28.659 13.809 2455858.90763 2.99 K11Uf1Y +cla m -1 -1 S mal52 24.30 0.000 r 7.95 43.301 0.002 24 1.4723 0.105 0.099 0.262 0.256 43.940956 0.0082 0.030894 0.002452 1.694 0.001 357.000 0.029 98.659 2.328 73617.814 599.391 29.882 13.259 2455858.90337 2.99 K11Uf1U +cla m -1 -1 S mal53 23.20 0.000 r 6.74 44.397 0.001 25 4.1122 0.121 0.120 0.259 0.291 45.413690 0.0039 0.052319 0.000331 5.496 0.000 358.348 0.003 100.405 0.214 75027.845 53.039 28.178 14.852 2455858.93329 2.94 K11Uf2D +cla m -1 -1 S mal54 24.27 0.033 r 7.75 44.937 0.005 17 1.2809 0.100 0.105 0.202 0.221 43.495764 0.0186 0.055618 0.005116 15.311 0.002 14.512 0.002 245.796 4.194 19787.907 1227.682 25.362 14.784 2455858.92476 2.99 K11Uf2B +cla m -1 -1 S mal55 24.27 0.033 r 7.74 45.158 0.002 22 1.4504 0.061 0.098 0.124 0.269 45.535456 0.0143 0.053150 0.002964 1.214 0.000 315.356 0.069 352.167 0.320 31494.864 18.823 29.187 13.224 2455858.90763 2.83 K11Uf1Z +cla m -1 -1 S mal56 24.40 0.000 r 7.82 45.576 0.004 12 1.1466 0.080 0.090 0.153 0.227 45.069927 0.0169 0.011888 0.002565 2.146 0.000 313.968 0.066 277.782 41.184 6484.545 12639.352 30.198 14.597 2455858.94181 2.94 K11Uf2F +cla o -1 -1 I mal57 24.13 0.088 r 7.49 46.124 0.003 15 1.4395 0.115 0.103 0.286 0.257 48.080094 0.0726 0.182727 0.003915 17.822 0.002 224.314 0.002 79.714 0.046 33180.331 87.605 28.825 15.946 2455860.81377 2.98 K11Uf2T +cla m -1 -1 I mal58 24.40 0.100 r 7.74 46.661 0.004 16 1.4501 0.093 0.084 0.176 0.184 47.879267 0.0788 0.160826 0.004845 2.606 0.002 5.095 0.021 116.380 0.044 79920.003 123.636 28.917 13.103 2455858.90763 2.81 K11Uf2S +cla m -1 -1 S mal59 23.27 0.033 r 6.44 48.245 0.003 26 1.4339 0.084 0.112 0.221 0.301 43.495625 0.0053 0.111878 0.000549 22.799 0.002 218.117 0.000 5.580 1.448 7508.573 419.189 30.111 14.586 2455858.94181 2.84 K11Uf2E +res N 5 3 S mal60 24.07 0.088 r 7.23 48.408 0.007 12 1.2891 0.063 0.098 0.150 0.265 42.222091 0.0142 0.146728 0.000412 9.385 0.003 11.445 0.006 196.753 3.581 104918.269 986.116 27.424 14.695 2455858.93329 2.76 K11Uf1M +res N 5 2 I mal61 24.53 0.067 r 7.45 51.239 0.004 20 1.4338 0.088 0.132 0.221 0.242 55.668479 0.2748 0.406186 0.005081 6.420 0.002 4.876 0.011 130.185 0.159 79336.444 140.708 28.610 14.909 2455860.77399 2.61 K11Uf1T +res N 3 1 I mal62 23.90 0.000 r 6.75 52.005 0.002 25 1.4396 0.074 0.079 0.150 0.177 62.442250 0.2131 0.404531 0.003525 40.400 0.002 215.504 0.000 263.654 0.018 78060.666 65.762 27.736 15.359 2455860.77825 2.68 K11Uf1Q diff --git a/src/ossssim/Characterizations/All_Surveys/Duplicates b/src/ossssim/Characterizations/All_Surveys/Duplicates new file mode 100644 index 0000000..03553bb --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/Duplicates @@ -0,0 +1,7 @@ +# List of objects re-detected in OSSOS that were part of CFEPS +o3e20PD L4h05PD +o3e37PD L4h13 +o3l13PD L3s05 +o5t34PD L3s04 +o5c051PD L4v01 +o5d135PD L4v02 diff --git a/src/ossssim/Characterizations/All_Surveys/HL6l-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL6l-smooth.eff new file mode 100644 index 0000000..e1285bd --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL6l-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.1 -0.7 17.1 +# +mag_error= 0.20 0.34 23.1 0.0 23.4 -0.6 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.0 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7043254 22.9666500 2.2559040 0.5284785 +# +# Limiting magnitude of the block +mag_lim= 22.37 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL6r-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL6r-smooth.eff new file mode 100644 index 0000000..02e9418 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL6r-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.1 -25.9 17.7 +# +mag_error= 0.06 0.29 24.5 0.5 23.8 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.1 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7548555 24.0922600 0.7971879 0.2173410 +# +# Limiting magnitude of the block +mag_lim= 23.89 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL7a-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL7a-smooth.eff new file mode 100644 index 0000000..36fb33b --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL7a-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 5.7 27.2 20.6 +# +mag_error= 0.06 0.30 24.3 0.3 23.5 -0.5 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.7 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8075634 23.7355400 0.6376818 0.2137201 +# +# Limiting magnitude of the block +mag_lim= 23.58 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL7b-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL7b-smooth.eff new file mode 100644 index 0000000..6ee6aab --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL7b-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 5.4 11.9 21.9 +# +mag_error= 0.06 0.36 23.7 0.2 23.0 -0.5 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.1 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7842286 23.1307500 0.8299735 0.3304917 +# +# Limiting magnitude of the block +mag_lim= 22.89 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL7c-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL7c-smooth.eff new file mode 100644 index 0000000..894bdb6 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL7c-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 5.8 16.6 19.7 +# +mag_error= 0.03 0.33 24.5 0.6 23.5 -0.5 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.9 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8300000 23.9000000 0.8000000 0.2500000 +# +# Limiting magnitude of the block +mag_lim= 23.72 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL7d-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL7d-smooth.eff new file mode 100644 index 0000000..92d8ecb --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL7d-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 4.6 0.6 26.3 +# +mag_error= 0.04 0.32 24.1 0.2 23.1 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8000000 23.5000000 0.6000000 0.4000000 +# +# Limiting magnitude of the block +mag_lim= 23.28 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL7e-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL7e-smooth.eff new file mode 100644 index 0000000..b3303a1 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL7e-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 4.7 0.9 26.1 +# +mag_error= 0.04 0.34 24.0 0.2 23.3 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.6 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8350000 23.6300000 0.7000000 0.2500000 +# +# Limiting magnitude of the block +mag_lim= 23.47 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL7j-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL7j-smooth.eff new file mode 100644 index 0000000..a4548d5 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL7j-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 5.6 -1.1 20.9 +# +mag_error= 0.06 0.31 24.0 0.1 23.3 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.7 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8203012 23.6612300 0.7696587 0.2401818 +# +# Limiting magnitude of the block +mag_lim= 23.49 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL7l-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL7l-smooth.eff new file mode 100644 index 0000000..2b5a3a2 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL7l-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.2 6.0 16.1 +# +mag_error= 0.06 0.44 24.4 0.5 23.3 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.6 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7807334 23.5570600 0.8784808 0.2453918 +# +# Limiting magnitude of the block +mag_lim= 23.35 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL7o-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL7o-smooth.eff new file mode 100644 index 0000000..f0af88e --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL7o-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.3 -13.4 14.6 +# +mag_error= 0.06 0.33 23.3 0.2 22.9 -0.5 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 22.8 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 1.2447450 22.8351500 7.6695250 0.3147754 +# +# Limiting magnitude of the block +mag_lim= 22.74 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL7p-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL7p-smooth.eff new file mode 100644 index 0000000..a47d112 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL7p-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.2 -24.3 17.0 +# +mag_error= 0.04 0.33 24.7 0.5 23.7 -0.6 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.0 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8044963 24.0281300 0.6931058 0.2429195 +# +# Limiting magnitude of the block +mag_lim= 23.85 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL7s-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL7s-smooth.eff new file mode 100644 index 0000000..1cd1957 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL7s-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.3 -19.6 15.7 +# +mag_error= 0.05 0.31 23.9 0.1 23.2 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.6 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8074985 23.5546300 0.6844909 0.2533396 +# +# Limiting magnitude of the block +mag_lim= 23.38 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL8a-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL8a-smooth.eff new file mode 100644 index 0000000..16e2d61 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL8a-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.6 6.6 36.1 14.0 +# +mag_error= 0.05 0.31 24.36 0.4 23.66 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.9 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8006741 23.9021700 0.6118510 0.1740703 +# +# Limiting magnitude of the block +mag_lim= 23.76 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL8b-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL8b-smooth.eff new file mode 100644 index 0000000..3aec8b4 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL8b-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.6 6.6 40.0 14.0 +# +mag_error= 0.06 0.26 23.5 0.3 23.3 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8243651 23.5274400 1.1549520 0.4392962 +# +# Limiting magnitude of the block +mag_lim= 23.24 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL8h-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL8h-smooth.eff new file mode 100644 index 0000000..b869831 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL8h-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.2 20.6 15.2 +# +mag_error= 0.05 0.31 24.51 0.4 23.81 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.1 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7750316 24.1237500 0.8642930 0.2478390 +# +# Limiting magnitude of the block +mag_lim= 23.91 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL8i-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL8i-smooth.eff new file mode 100644 index 0000000..fe7a683 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL8i-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.3 22.8 14.7 +# +mag_error= 0.05 0.31 24.91 0.4 24.21 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8100000 24.4700000 0.8000000 0.2000000 +# +# Limiting magnitude of the block +mag_lim= 24.31 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL8k-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL8k-smooth.eff new file mode 100644 index 0000000..6b387c0 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL8k-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.4 28.7 12.3 +# +mag_error= 0.05 0.31 25.23 0.4 24.53 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.8 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7926344 24.8080000 0.9970490 0.1864885 +# +# Limiting magnitude of the block +mag_lim= 24.63 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL8l-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL8l-smooth.eff new file mode 100644 index 0000000..a31acfd --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL8l-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.3 25.9 12.9 +# +mag_error= 0.05 0.31 24.75 0.4 24.05 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.4 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7658910 24.3551800 0.9999816 0.2038589 +# +# Limiting magnitude of the block +mag_lim= 24.15 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL8m-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL8m-smooth.eff new file mode 100644 index 0000000..243148a --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL8m-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.1 9.1 17.0 +# +mag_error= 0.05 0.31 24.86 0.4 24.16 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7695928 24.4581400 0.7177849 0.2430487 +# +# Limiting magnitude of the block +mag_lim= 24.26 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL8n-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL8n-smooth.eff new file mode 100644 index 0000000..4d0b9c1 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL8n-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.1 8.2 17.3 +# +mag_error= 0.05 0.31 25.40 0.4 24.70 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.9 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8044370 24.9387500 0.8647624 0.1480772 +# +# Limiting magnitude of the block +mag_lim= 24.80 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL8o-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL8o-smooth.eff new file mode 100644 index 0000000..bc82c15 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL8o-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 5.8 1.7 19.4 +# +mag_error= 0.03 0.26 24.5 0.5 24.3 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7661330 24.4503400 0.7292022 0.2353008 +# +# Limiting magnitude of the block +mag_lim= 24.26 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL901-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL901-smooth.eff new file mode 100644 index 0000000..b6c832b --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL901-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.15 0.4 24.45 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.885563 24.731524 1.251577 0.270272 +# +# Limiting magnitude of the block +mag_lim= 24.55 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL902-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL902-smooth.eff new file mode 100644 index 0000000..59e7a8c --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL902-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.23 0.4 24.53 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.898088 24.768938 1.308583 0.185456 +# +# Limiting magnitude of the block +mag_lim= 24.63 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL903-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL903-smooth.eff new file mode 100644 index 0000000..0e7f7d5 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL903-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.12 0.4 24.42 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.890248 24.664196 0.976620 0.217743 +# +# Limiting magnitude of the block +mag_lim= 24.52 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL904-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL904-smooth.eff new file mode 100644 index 0000000..dabf575 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL904-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.96 0.4 24.26 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.872440 24.498099 0.937454 0.188283 +# +# Limiting magnitude of the block +mag_lim= 24.36 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL905-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL905-smooth.eff new file mode 100644 index 0000000..cc55a5b --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL905-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.11 0.4 24.41 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.886419 24.646720 1.078918 0.195211 +# +# Limiting magnitude of the block +mag_lim= 24.51 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL906-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL906-smooth.eff new file mode 100644 index 0000000..eb10189 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL906-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.24 0.4 23.54 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.826214 23.879625 0.807730 0.405490 +# +# Limiting magnitude of the block +mag_lim= 23.64 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL907-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL907-smooth.eff new file mode 100644 index 0000000..7c8733c --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL907-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.60 0.4 23.90 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.830165 24.224074 0.981876 0.331268 +# +# Limiting magnitude of the block +mag_lim= 24.00 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL908-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL908-smooth.eff new file mode 100644 index 0000000..f41faa9 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL908-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.79 0.4 24.09 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.855383 24.410583 1.033837 0.348987 +# +# Limiting magnitude of the block +mag_lim= 24.19 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL909-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL909-smooth.eff new file mode 100644 index 0000000..df2cb21 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL909-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.64 0.4 23.94 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.835511 24.287143 1.040664 0.382423 +# +# Limiting magnitude of the block +mag_lim= 24.04 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL910-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL910-smooth.eff new file mode 100644 index 0000000..d6407fe --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL910-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.94 0.4 24.24 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.831882 24.595210 1.398189 0.327308 +# +# Limiting magnitude of the block +mag_lim= 24.34 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL911-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL911-smooth.eff new file mode 100644 index 0000000..90a1cfa --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL911-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.93 0.4 24.23 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.827337 24.582428 1.233999 0.342477 +# +# Limiting magnitude of the block +mag_lim= 24.33 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL912-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL912-smooth.eff new file mode 100644 index 0000000..14ef780 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL912-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.06 0.4 24.36 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.805538 24.746193 1.391453 0.351113 +# +# Limiting magnitude of the block +mag_lim= 24.46 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL913-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL913-smooth.eff new file mode 100644 index 0000000..e71c5e2 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL913-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.75 0.4 24.05 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.819009 24.405157 1.033049 0.388813 +# +# Limiting magnitude of the block +mag_lim= 24.15 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL914-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL914-smooth.eff new file mode 100644 index 0000000..f6992f1 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL914-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.09 0.4 24.39 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.795576 24.758349 1.487361 0.298124 +# +# Limiting magnitude of the block +mag_lim= 24.49 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL915-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL915-smooth.eff new file mode 100644 index 0000000..07e450f --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL915-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.58 0.4 23.88 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.789216 24.241030 1.240080 0.303785 +# +# Limiting magnitude of the block +mag_lim= 23.98 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL916-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL916-smooth.eff new file mode 100644 index 0000000..2fd0ba5 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL916-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.66 0.4 23.96 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.842853 24.314676 1.209286 0.389630 +# +# Limiting magnitude of the block +mag_lim= 24.06 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL917-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL917-smooth.eff new file mode 100644 index 0000000..7019511 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL917-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.78 0.4 24.08 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.830261 24.434144 1.243348 0.348062 +# +# Limiting magnitude of the block +mag_lim= 24.18 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL918-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL918-smooth.eff new file mode 100644 index 0000000..b8b1012 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL918-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.25 0.4 24.55 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.795576 24.919935 1.487361 0.298124 +# +# Limiting magnitude of the block +mag_lim= 24.65 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL919-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL919-smooth.eff new file mode 100644 index 0000000..517a1f0 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL919-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.62 0.4 23.92 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.801055 24.300647 1.434612 0.327268 +# +# Limiting magnitude of the block +mag_lim= 24.02 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL920-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL920-smooth.eff new file mode 100644 index 0000000..ea70fce --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL920-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.44 0.4 23.74 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.826214 24.079425 0.807730 0.405490 +# +# Limiting magnitude of the block +mag_lim= 23.84 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL921-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL921-smooth.eff new file mode 100644 index 0000000..d8f3548 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL921-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.10 0.4 24.40 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.879677 24.675781 1.275484 0.253514 +# +# Limiting magnitude of the block +mag_lim= 24.50 +# diff --git a/src/ossssim/Characterizations/All_Surveys/HL922-smooth.eff b/src/ossssim/Characterizations/All_Surveys/HL922-smooth.eff new file mode 100644 index 0000000..36dc62a --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/HL922-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.84 0.4 24.14 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.789216 24.504980 1.240080 0.303785 +# +# Limiting magnitude of the block +mag_lim= 24.24 +# diff --git a/src/ossssim/Characterizations/All_Surveys/L3f-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L3f-smooth.eff new file mode 100644 index 0000000..20c03f6 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L3f-smooth.eff @@ -0,0 +1,26 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 1.7 5.1 20.0 30.0 +# +mag_error= 0.027 0.30 24.5 1.0 24.1 -0.5 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +function= double +double_param= 0.909 23.894 0.559 0.329 +# +# Limiting magnitude of the block +mag_lim= 23.75 diff --git a/src/ossssim/Characterizations/All_Surveys/L3h-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L3h-smooth.eff new file mode 100644 index 0000000..4e83795 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L3h-smooth.eff @@ -0,0 +1,26 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.2 23.6 18.0 +# +mag_error= 0.030 0.28 24.0 0.9 23.3 -0.1 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.1 -0.25 +# +filter= r +# +rates= 0.00 20.00 +function= double +double_param= 0.901 23.865 0.799 0.244 +# +# Limiting magnitude of the block +mag_lim= 23.73 diff --git a/src/ossssim/Characterizations/All_Surveys/L3q-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L3q-smooth.eff new file mode 100644 index 0000000..304d436 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L3q-smooth.eff @@ -0,0 +1,26 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 1.2 6.2 -20.0 18.0 +# +mag_error= 0.027 0.45 24.8 1.0 24.0 -0.5 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +function= double +double_param= 0.862 24.229 0.876 0.214 +# +# Limiting magnitude of the block +mag_lim= 24.08 diff --git a/src/ossssim/Characterizations/All_Surveys/L3s-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L3s-smooth.eff new file mode 100644 index 0000000..ec2c69a --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L3s-smooth.eff @@ -0,0 +1,26 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 8.0 -23.8 18.8 +# +mag_error= 0.027 0.29 24.3 0.5 23.7 -0.3 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +function= double +double_param= 0.875 24.094 0.511 0.298 +# +# Limiting magnitude of the block +mag_lim= 23.95 diff --git a/src/ossssim/Characterizations/All_Surveys/L3w-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L3w-smooth.eff new file mode 100644 index 0000000..6d0a264 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L3w-smooth.eff @@ -0,0 +1,26 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.0 -9.0 20.0 +# +mag_error= 0.027 0.33 24.7 0.5 24.3 -0.6 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +function= double +double_param= 0.900 24.394 1.050 0.220 +# +# Limiting magnitude of the block +mag_lim= 24.25 diff --git a/src/ossssim/Characterizations/All_Surveys/L3y-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L3y-smooth.eff new file mode 100644 index 0000000..7b2f32c --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L3y-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 1.7 5.1 9.0 15.0 +# +mag_error= 0.027 0.406 24.7 0.9 23.9 -0.5 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.865 24.241 0.787 0.259 +# +# Limiting magnitude of the block +mag_lim= 24.08 diff --git a/src/ossssim/Characterizations/All_Surveys/L4h-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L4h-smooth.eff new file mode 100644 index 0000000..8c3145c --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L4h-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.0 22.0 20.0 +# +mag_error= 0.034 0.33 24.4 0.6 23.8 -0.5 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.9001827 24.18428 0.8322120 0.2116960 +# +# Limiting magnitude of the block +mag_lim= 24.06 diff --git a/src/ossssim/Characterizations/All_Surveys/L4j-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L4j-smooth.eff new file mode 100644 index 0000000..5c85282 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L4j-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 5.6 16.4 20.0 +# +mag_error= 0.025 0.272 24.3 0.2 23.8 -0.2 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.8988845 24.13437 0.9571753 0.2120223 +# +# Limiting magnitude of the block +mag_lim= 24.00 diff --git a/src/ossssim/Characterizations/All_Surveys/L4k-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L4k-smooth.eff new file mode 100644 index 0000000..6368e5c --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L4k-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 5.7 17.0 18.0 +# +mag_error= 0.021 0.354 24.75 0.6 24.1 -0.4 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.9149023 24.48660 1.229787 0.2011446 +# +# Limiting magnitude of the block +mag_lim= 24.35 diff --git a/src/ossssim/Characterizations/All_Surveys/L4m-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L4m-smooth.eff new file mode 100644 index 0000000..3237439 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L4m-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 5.6 -5.0 20.0 +# +mag_error= 0.043 0.335 24.3 0.9 23.9 -0.6 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.7811143 24.18 1.8 0.8 +# +# Limiting magnitude of the block +mag_lim= 23.76 diff --git a/src/ossssim/Characterizations/All_Surveys/L4n-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L4n-smooth.eff new file mode 100644 index 0000000..cc9df13 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L4n-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.0 -7.7 20.0 +# +mag_error= 0.052 0.35 24.3 0.15 24.0 -0.18 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.810 23.97158 1.300 0.2735873 +# +# Limiting magnitude of the block +mag_lim= 23.74 diff --git a/src/ossssim/Characterizations/All_Surveys/L4o-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L4o-smooth.eff new file mode 100644 index 0000000..3fb4cb6 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L4o-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.0 -6.7 18.0 +# +mag_error= 0.054 0.294 24.3 0.9 23.7 -0.2 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.800 23.83 1.7 0.3 +# +# Limiting magnitude of the block +mag_lim= 23.53 diff --git a/src/ossssim/Characterizations/All_Surveys/L4p-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L4p-smooth.eff new file mode 100644 index 0000000..cb96d27 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L4p-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 1.0 5.7 -15.0 15.0 +# +mag_error= 0.025 0.36 24.5 0.8 23.8 -0.25 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.8767797 24.14081 0.9309396 0.1992458 +# +# Limiting magnitude of the block +mag_lim= 24.00 diff --git a/src/ossssim/Characterizations/All_Surveys/L4q-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L4q-smooth.eff new file mode 100644 index 0000000..0f2b451 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L4q-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 1.2 6.1 -18.0 17.5 +# +mag_error= 0.025 0.292 24.5 0.5 24.3 -0.4 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.9021078 24.32594 0.7811524 0.1915528 +# +# Limiting magnitude of the block +mag_lim= 24.21 diff --git a/src/ossssim/Characterizations/All_Surveys/L4v-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L4v-smooth.eff new file mode 100644 index 0000000..647f2d2 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L4v-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.3 -18.0 16.0 +# +mag_error= 0.027 0.305 24.6 0.2 24.3 -0.4 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.9032068 24.53925 1.116423 0.2093347 +# +# Limiting magnitude of the block +mag_lim= 24.40 diff --git a/src/ossssim/Characterizations/All_Surveys/L5c-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L5c-smooth.eff new file mode 100644 index 0000000..3436cde --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L5c-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.4 15.0 16.0 +# +mag_error= 0.026 0.4 24.9 0.5 24.3 -0.4 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.8701848 24.48639 1.124860 0.2793053 +# +# Limiting magnitude of the block +mag_lim= 24.30 diff --git a/src/ossssim/Characterizations/All_Surveys/L5i-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L5i-smooth.eff new file mode 100644 index 0000000..66e334f --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L5i-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.4 7.3 11.4 20.8 +# +mag_error= 0.037 0.286 24.3 0.2 23.85 -0.3 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.8092190 24.00469 0.9892598 0.1977594 +# +# Limiting magnitude of the block +mag_lim= 23.84 diff --git a/src/ossssim/Characterizations/All_Surveys/L5j-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L5j-smooth.eff new file mode 100644 index 0000000..6f26eb9 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L5j-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.4 7.0 12.0 21.9 +# +mag_error= 0.044 0.236 24.2 0.6 23.7 -0.2 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.8103361 23.73561 1.298201 0.3049419 +# +# Limiting magnitude of the block +mag_lim= 23.49 diff --git a/src/ossssim/Characterizations/All_Surveys/L5r-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L5r-smooth.eff new file mode 100644 index 0000000..cf85e95 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L5r-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.7 7.5 -22.0 20.1 +# +mag_error= 0.026 0.33 24.45 0.7 23.7 -0.3 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.8218872 24.05242 0.8814433 0.2051573 +# +# Limiting magnitude of the block +mag_lim= 23.89 diff --git a/src/ossssim/Characterizations/All_Surveys/L5s-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L5s-smooth.eff new file mode 100644 index 0000000..bd3f0bd --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L5s-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.7 7.5 -21.9 19.9 +# +mag_error= 0.026 0.275 24.45 0.5 23.7 -0.3 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.8421513 24.15968 0.9134728 0.2241167 +# +# Limiting magnitude of the block +mag_lim= 24.00 diff --git a/src/ossssim/Characterizations/All_Surveys/L7a-smooth.eff b/src/ossssim/Characterizations/All_Surveys/L7a-smooth.eff new file mode 100644 index 0000000..de252a7 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/L7a-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 7.7 15.4 19.5 +# +mag_error= 0.04 0.4 24.5 0.8 23.7 -0.4 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.9027138 24.11391 0.9906607 0.2201505 +# +# Limiting magnitude of the block +mag_lim= 23.98 diff --git a/src/ossssim/Characterizations/All_Surveys/README.allsurveys b/src/ossssim/Characterizations/All_Surveys/README.allsurveys new file mode 100644 index 0000000..6b9e373 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/README.allsurveys @@ -0,0 +1,60 @@ + +README.allsurveys + +COMBINED SURVEY ANALYSIS + +This subdir contains the COMBINED OSSOS, CFEPS, HiLat and Mike A; surveys. +Mostly this is the union of the detection lists for all surveys and the +union of all the block characterizations into a single pointing-list file. + +HOWEVER, +Using the all surveys jointly requires some care: +1. There are some Duplicates (see file so labeled), which are objects that + CFEPS detected and which were (blindly, not targeted) re-detected in + OSSOS (almost all are cold classical). These objects appear only once in + the All_Surveys.detections file. +2. CFEPS was dominantly in g band while other surveys are in r band. The OSSOS + Survey Simulator outputs the "measured" apparent magnitude m_rand and the + surmised absolute magnitude H_rand of a synthetic detection in the + photometric band of the block it is detected in. The input intrinsic + absolute magnitude and the corresponding magnitude at distance of discovery + are given in X band. It also provides the difference between the magnitude + of the simulated detection in the filter of the survey that fictitiously + detects it and the magnitude in this X band (the color term). + + If you are attempting to compare the magnitudes of the real detected objects + to your model, you need to come up with a scheme as to how you will compare + magnitudes when two bands are involved. + +-------------------------------------------------------------------------------- + +This directory contains the pointing history, efficiency functions for each +block, and the list of detected objects, in two files for all surveys +(All_Surveys.detections and All_Surveys.CDS). + +The content of this directory is: + +All_Surveys + \---- README.allsurveys (this file) Describes content of the directory + \--------- README.format Describes format of a survey "block" + \-------- pointings.list List of pointings and times of the + | survey, often grouped into chunks. + \------- LnX-smooth.eff Efficiency function for CFEPS block. + \------ presurvey-smooth.eff Efficiency function for presurvey + \----- HLn*-smooth.eff Efficiency function for HiLat + \---- ma*.eff Efficiency function for Mike A. + \--- 201ySn.eff Efficiency functions for OSSOS blocks, + | where y gives the year (201y), S (a + | single letter) semester, and n the + | block name (eg, E, O, L, H, P, M, S, T, + | D, C) + \- All_Surveys_v11.detections List of objects really detected in + | OSSOS, MA, CFEPS and HiLat, with their + | dynamical class if known, magnitude at + | detection, rate of motion, + | H mag, and more. + \- All_Surveys_v11.CDS Same as All_Surveys_v11.detections, in + | CDS format. + \- Duplicates The duplicated OSSOS/CFEPS detections + +-------------------------------------------------------------------------------- diff --git a/src/ossssim/Characterizations/All_Surveys/README.formats b/src/ossssim/Characterizations/All_Surveys/README.formats new file mode 100644 index 0000000..40f4373 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/README.formats @@ -0,0 +1,119 @@ + +README.formats + +This file explains the format of the survey characterization that +is critical to the operation of the survey simulator. + +The Survey Simulator divides the sky coverage of all observations +into 'blocks' of contiguous rectangular area. The +pointings.list +file lists each such rectangular block, one per line. +Each such line should contain the name of an 'efficiency file' +that is in the same directory. Although rare, different blocks in +the pointing file could share a single efficiency definition. + +-------------------------------------------------------------------------------- + +pointings.list: + +Each line in pointings.list file has the format: + + \ + + +where: + +: width of FOV, in degree +: height of FOV, in degree +: Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +: Declination of pointing, decimal degree or DD:MM:SS[.ss...] +: epoch of pointing, in Julian day (decimal) +: filling factor of that FOV (fraction of FOV occupied by + active pixels) +: observatory code +: name of efficiency file for that pointing + +Lines starting with '#' are ignored and can be used for comments. + +-------------------------------------------------------------------------------- + +Efficiency file: + +The parameters are given using a " = pair, one per line. +Some can only appear after a previous had a specific value +(see below). The list of keys and associated values is as follows + +- rate cut used for detection (the pipeline restrict detection to certain rates + and directions of motion on the sky) +rate_cut= + : Lower rate cut (" arc/hour) + : Upper rate cut (" arc/hour) + : Mean direction of motion (degrees from due West) + : Half-width of direction cone (degrees) + +- magnitude error (the "real" magnitude determined from the absolute magnitude, + phase angle [Bowel formalism] and distance from Sun is further modified by a + "noise" that represents the uncertainty in magnitude determination) +mag_error= *6 + The first 4 parameters define the growth of the uncertainty: + - alpha = log10(mag_er(2)/mag_er(1))/(mag_er(3)-21) + - for mag < mag_er(3), mag_er(1)*10.**(alpha*(mag - 21)) + - for mag > mag_er(3), mag_er(1)*10.**(alpha*(mag_er(3) - 21)) + - (mag - mag_er(3))*mag_er(4) + The last 2 parameters determine the asymmetry of the error + - for mag < mag_er(5), center = 0. + - for mag > mag_er(5), center = (mag - mag_er(5))*mag_er(6) + +- fraction of objects with 1, 2 or 3 photometric measurements to define the + official magnitude +phot_frac= + : fraction of objects with only 1 measurement + : fraction of objects with 2 measurements + : fraction of objects with 3 measurements + +- Tracked fraction (for some survey, not all objects are tracked; some are + missed due to being very faint, others are missed due to leaking out of + recovery coverage, thus the following formula) +track_frac= + Tracked fraction = min(track_max, 1 + (mag - track_mag)*track_slope) + +- Filter used for this survey +filter= + : one of g, r, i, z, u, B, V, R, I + +- Efficiency functions are given for ranges of rates of motion given by the + following keyword (detection efficiency varies with rate of motion, so + efficiency is determined for ranges of rates) +rates= + : minimum rate for range of rates for this efficiency function + : maximum rate for range of rates for this efficiency function + +- Functional form used to define the efficiency +function= + is one of: + : single hyperbolic tangent + : double hyperbolic tangent + : piecewise linear function + : (eff_max-c*(m-21)**2)/(1+exp((m-M_0)/sig)) + : a look-up table + +- Parameters for the efficiency function, depending on the functional form +linear_param= +single_param= +double_param= +square_param= + +- For the look-up table, there will be as many lines as entries in the look-up + table +lookup_param= +lookup_param= + +- The sequence can be repeated + as many times as needed if the efficiency has been determined for several + different rate ranges. + +- Limiting magnitude of the block +mag_lim= + : largest magnitude for a characterized object + +Lines starting with '#' are ignored and can be used for comments. diff --git a/src/ossssim/Characterizations/All_Surveys/Template.eff b/src/ossssim/Characterizations/All_Surveys/Template.eff new file mode 100644 index 0000000..19a6d58 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/Template.eff @@ -0,0 +1,121 @@ +# This is a sample efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value +# (see below). +# +# Although it is not mendatory, we can try to group the parameters logically. +# +# First define the rate cut used for detection with a line +# "rate_cut= " +# +# : Lower rate cut (" arc/hour) +# : Upper rate cut (" arc/hour) +# : Mean direction of motion (degrees from due West) +# : Half-width of direction cone (degrees) +# +rate_cut= 0.50 5.38 -21.050 15.62 +# +# Second define the magnitude error. +# First 4 parameters define the growth of the uncertainty: +# - alpha = log10(mag_er(2)/mag_er(1))/(mag_er(3)-21) +# - for mag < mag_er(3), mag_er(1)*10.**(alpha*(mag - 21)) +# - for mag > mag_er(3), mag_er(1)*10.**(alpha*(mag_er(3) - 21)) +# - (mag - mag_er(3))*mag_er(4) +# The last 2 parameters determine the asymmetry of the error +# - for mag < mag_er(5), center = 0. +# - for mag > mag_er(5), center = (mag - mag_er(5))*mag_er(6) +# +mag_error= 0.013 0.17 24.9 0.5 24.2 -0.2 +# +# Define the fraction of objects with 1, 2 or 3 photometric measurements use to +# determine the official magnitude +# : fraction of objects with only 1 measurement +# : fraction of objects with 2 measurements +# : fraction of objects with 3 measurements +# +phot_frac= 0.033 0.117 0.850 +# +# Now define the tracking fraction as a function of magnitude +# The fraction of objects tracked = min(track_max, +# 1 + (mag - track_mag)*track_slope) +# For the presurvey the drop is at 23.8 to 0 instantly.... +# +# BEWARE: this needs to be modified together with the limiting magnitude if one +# wants to simulate a deeper survey. +# +track_frac= 1.0 25.35 -5.00 +# +# The survey simulator (SSim) has the ability to deal with magnitudes in +# various band filters, so we define the filter used for that particular +# pointing. +# Here the filter is given by a letter, but will be translated into an integer +# in the SSim in order to access the correct magnitude of the object that is +# passed as an array. Correspondance table: +# g -> 1 +# r -> 2 +# i -> 3 +# z -> 4 +# u -> 5 +# B -> 6 +# V -> 7 +# R -> 8 +# I -> 9 +# +filter= r +# +# Here things become tricky. We first define the rate range the following +# efficiency is defined for. +# +# Rate range is defined as "rates= " +# +rates= 0.50 2.06 +# +# Now we define the type of functional form used to define the efficiency by +# "function= ", where is: +# +# : single hyperbolic tangent +# : double hyperbolic tangent +# : piecewise linear function +# : (eff_max-c*(m-21)**2)/(1+exp((m-M_0)/sig)) +# : a look-up table +# +# Parameters are then given by "= [ [...]]". +# More specifically, we have: +# +# "linear_param= " +# "single_param= " +# "double_param= " +# "square_param= " +# +# For the look-up table, there will be as many lines as entries in the look-up +# table: +# "lookup_param= " +# "lookup_param= " +# "..." +# +# : magnitude of the center of the bin +# : efficiency for that magnitude, in range [0, 1] +# +# All "lookup_param= ..." lines must be consecutive, not even a comment line in +# between. The list ends up at the first non-"lookup_param= ..." line. +# +# All the "func_typ_param= ..." lines must be the first non-comment lines after +# the "function= ..." line. +# +function= double +# +double_param= 0.93086964 24.734407 0.69756073 0.22470799 +# +rates= 2.06 3.72 +function= double +double_param= 0.88791895 24.727974 0.65072048 0.24242181 +# +rates= 3.72 5.38 +function= double +double_param= 0.87152964 24.704845 0.28593567 0.58923745 +# +# Limiting magnitude of the block +mag_lim= 24.04 diff --git a/src/ossssim/Characterizations/All_Surveys/TotalAreaOSSOS b/src/ossssim/Characterizations/All_Surveys/TotalAreaOSSOS new file mode 100644 index 0000000..0ef99a4 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/TotalAreaOSSOS @@ -0,0 +1,5 @@ +# Nominal footprint of OSSOS (E+O+L+H+P+M+S+T+D+C) and actual surveyed area +# (pixel searched) +# +21.+21.+20.+21.+21.6544+21.6544+10.8272+10.8272+8.66178+12.99267 +21.*0.9079+21.*0.9055+20.*0.9151+21.*0.9103+21.6544*0.9186+21.6544*0.9211+10.8272*0.9223+10.8272*0.9223+8.66178*0.9211+12.99267*0.9215 diff --git a/src/ossssim/Characterizations/All_Surveys/ma11la.eff b/src/ossssim/Characterizations/All_Surveys/ma11la.eff new file mode 100644 index 0000000..e21d2b3 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/ma11la.eff @@ -0,0 +1,55 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 10.00 -21.050 15.62 +# +mag_error= 0.013 0.17 24.9 0.5 24.2 -0.2 +# +phot_frac= 0.026 0.156 0.818 +# +track_frac= 1.000 24.421 -2.453 +# +filter= r +# +rates= 0.50 2.06 +function= square +square_param= 0.949881315 1.35535756E-02 24.6197796 0.126009449 +# Goodness of fit (reduced chi^2): 1.299 +# Limiting magnitude of the block +mag_lim= 24.62 +# +rates= 2.06 3.72 +function= square +square_param= 0.921203673 1.26445778E-02 24.6113796 0.136990249 +# Goodness of fit (reduced chi^2): 1.423 +# Limiting magnitude of the block +mag_lim= 24.61 +# +rates= 3.72 5.38 +function= square +square_param= 0.901384294 1.02973068E-02 24.5602989 0.146653786 +# Goodness of fit (reduced chi^2): 0.659 +# Limiting magnitude of the block +mag_lim= 24.57 +# +rates= 5.38 6.40 +function= square +square_param= 0.993546128 4.81119640E-02 24.5993443 6.69738501E-02 +# Goodness of fit (reduced chi^2): 1.300 +# Limiting magnitude of the block +mag_lim= 24.42 +# +rates= 6.40 10.00 +function= square +square_param= 0.786008000 1.34810088E-02 24.3750610 0.137408525 +# Goodness of fit (reduced chi^2): 0.796 +# Limiting magnitude of the block +mag_lim= 24.37 +# diff --git a/src/ossssim/Characterizations/All_Surveys/ma12ha.eff b/src/ossssim/Characterizations/All_Surveys/ma12ha.eff new file mode 100644 index 0000000..ce59f9b --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/ma12ha.eff @@ -0,0 +1,41 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 10.36 -20.655 19.335 +# +mag_error= 0.026 0.17 24.9 0.3 24.3 -0.3 +# +phot_frac= 0.026 0.156 0.818 +# +track_frac= 0.965 24.544 -1.494 +# +filter= r +# +rates= 0.50 1.00 +function= square +square_param= 1.00177896 3.54992263E-02 24.6771965 8.01343620E-02 +# Goodness of fit (reduced chi^2): 1.220 +# Limiting magnitude of the block +mag_lim= 24.59 +# +rates= 1.00 6.00 +function= square +square_param= 0.910572529 1.46200368E-02 24.6077938 0.119519040 +# Goodness of fit (reduced chi^2): 0.847 +# Limiting magnitude of the block +mag_lim= 24.60 +# +rates= 6.00 10.36 +function= square +square_param= 0.881355107 1.36201698E-02 24.4823380 0.129530221 +# Goodness of fit (reduced chi^2): 1.038 +# Limiting magnitude of the block +mag_lim= 24.48 +# diff --git a/src/ossssim/Characterizations/All_Surveys/pointings-area.list b/src/ossssim/Characterizations/All_Surveys/pointings-area.list new file mode 100644 index 0000000..f203932 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/pointings-area.list @@ -0,0 +1,561 @@ +# This is the OSSOS survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# For Megaprime, the 36 CCDs are 2048x4612 with pixels 0.18689x0.18689", so +# assuming a total footprint of 1 sq.deg, the filling factor is 0.9164 +# +# 2013A-E block +# +# From JJ's e-mail on Dec. 2nd, 2014, there were 7 chips out of 756 that had +# a PSF problem, thus the pipeline did not run to the end. All other cases +# had good trans.jmp files and completed correctly. So effective surface +# area is 749/756 = 99.07%, so filling factor is 0.9907*0.9164=0.9079 +# +21.00 14:15:28.89 -12:32:28.5 2456391.86686 0.9079 500 2013AE.eff +# +# 2013A-O block +# +# From my own work and from JJ's e-mail from Nov. 30th, 2014, there were 9 +# chips out of 756 which had bad trans.jmp files. So the effective search area +# was 747/756 = 98.81% of the total area, so the filling factor is +# 0.9881*0.9164 = 0.9055 +# +21.00 15:58:01.35 -12:19:54.2 2456420.95956 0.9055 500 2013AO.eff +# +# 2013B-L block +# +# From checking the vtags of Lblock_redo, only 20 fields were searched, and out +# of the 720 chips, 1 had problems at step2 which propaged to step3 and +# combine. So effective surface area is 719/720 = 99.86% of the total area, so +# filling factor is 0.9986*0.9164 = 0.9151 +# +# Here we use the 'polygon search' feature. Make sure we remove the 1 +# sq.deg. field that was not searched, at the bottom of the central column. +# +20.00 00:52:55.81 +03:43:49.1 2456596.72735 0.9151 500 2013BL.eff +# +# 2014B-H block +# +# From checking the vtags of Hblock, I find only 751 chips successful out of +# 756 (my e-mail to JJ from Nov. 30, 2015). In the same time, JJ find only 2 +# faulty chips. Until I get an answer from him, I'll stick to my findings. +# So effective surface area is 751/756 = 99.34% of the total area, so +# filling factor is 0.9986*0.9164 = 0.9103 +# +# This is using the new feature (as of 2016-03-09) of polygons to describe the +# footprint of the block. +# +21.00 01:35:14.39 +13:28:25.3 2456952.77017 0.9103 500 2014BH.eff +# +# 2015A-P block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 2 out of 800 chips failed, so effective area is +# 798/800 = 0.9975 = 99.75% of the total area, so filling factor becomes +# 0.99875*0.9297 = 0.9274. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994446 so the factor is 1./1.005554 +# So the filling factor is 0.9975*0.9297/1.005554 = 0.9223. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*798/1.005554 = 19.89139 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.89139/21.6544 = 0.9186 +# +21.65 13:30:22.11 -07:47:23.0 2457125.86971 0.9186 500 2015AP.eff +# +# 2015A-M block +# +# This is a block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, 0 out of 800 chips failed, so effective area is +# 800/800 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994672 so the factor is 1./1.005328 +# So the filling factor is 1.0*0.9297/1.005328 = 0.9248. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*800/1.005328 = 19.94573 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.94573/21.6544 = 0.9211 +# +21.65 15:34:41.30 -12:08:36.0 2457163.81831 0.9211 500 2015AM.eff +# +# 2015B-S block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995995 so the factor is 1./1.004005 +# So the filling factor is 1.0*0.9297/1.004005 = 0.92599. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004005 = 9.98601 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98601/10.8272 = 0.9223 +# +10.83 00:30:08.35 +06:00:09.5 2457274.92965 0.9223 500 2015BS.eff +# +# 2015B-T block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995991 so the factor is 1./1.004009 +# So the filling factor is 1.0*0.9297/1.004009 = 0.9260. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004009 = 9.98597 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98597/10.8272 = 0.9223 +# +10.83 00:30:08.35 +04:02:04.5 2457273.92965 0.9223 500 2015BT.eff +# +# 2015B-D block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 320 chips failed, so effective area is +# 320/320 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994686 so the factor is 1./1.005314 +# So the filling factor is 1.0*0.9297/1.005314 = 0.92479. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*320/1.005314 = 7.97840 +# sq.deg. +# +# In the following, the total surface area is 2*1.0887916*(2.3866217+1.5910813) +# = 8.66178 sq.deg. So the final filling factor is effective area / total +# surface area = 7.97840/8.66178 = 0.9211 +# +#poly 4 03:08:30.88 +15:46:36.6 2457333.85377 0.9211 500 2015BD.eff +8.66 03:12:58.36 +16:16:06.4 2457333.85377 0.9211 500 2015BD.eff +# +# 2015B-C block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 480 chips failed, so effective area is +# 480/480 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995172 so the factor is 1./1.004828 +# So the filling factor is 1.0*0.9297/1.004828 = 0.92523. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*480/1.004828 = 11.97339 +# sq.deg. +# +# In the following, the total surface area is 2*1.6331874*(2.5855068+1.3921962) +# = 12.99267 sq.deg. So the final filling factor is effective area / total +# surface area = 11.97339/12.99267 = 0.9215 +# +12.99 03:19:52.10 +17:00:44.9 2457332.83884 0.9215 500 2015BC.eff +# +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +9.73 01:51:08.00 +15:51:48.0 2455860.843750 0.916 500 ma11la.eff +9.79 01:51:08.00 +13:54:00.0 2455858.963195 0.912 500 ma11la.eff +5.95 01:41:01.70 +28:10:00.0 2456220.904167 0.907 500 ma12ha.eff +5.95 01:49:58.30 +28:10:00.0 2456221.947917 0.907 500 ma12ha.eff +# +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# For Megaprime, the 36 CCDs are 2048x4612 with pixels 0.18689x0.18689", so +# assuming a total footprint of 1 sq.deg, the filling factor is 0.9164 +# +# L3f block +# +14.13 12:42:04.00 -04:31:00.0 2452722.9600000 0.80 500 L3f-smooth.eff +# +# L3h block +# +16.00 13:03:51.43 -06:47:24.4 2452755.8399121 0.81 500 L3h-smooth.eff +# +# L3q block +# +16.00 22:01:39.48 -12:04:38.5 2452882.8300000 0.89 500 L3q-smooth.eff +# +# L3w block +# +8.00 04:17:14.71 +21:50:00.0 2452989.8165311 0.87 500 L3w-smooth.eff +8.00 04:50:41.56 +22:58:33.6 2452989.8296229 0.87 500 L3w-smooth.eff +# +# L3s block +# +14.00 23:43:22.00 -01:18:42.5 2452909.8670000 0.83 500 L3s-smooth.eff +# +# L3y block +# +16.00 07:30:39.60 +21:48:15.0 2452997.9570000 0.85 500 L3y-smooth.eff +# +# L4j block +8.00 15:03:37.90 -16:19:00.0 2453120.9341016 0.89 500 L4j-smooth.eff +8.00 15:19:54.35 -17:23:18.5 2453120.9454667 0.89 500 L4j-smooth.eff +# L4h block +8.00 13:27:56.10 -08:14:20.0 2453121.8249416 0.89 500 L4h-smooth.eff +7.00 13:43:40.50 -09:45:00.0 2453121.8362773 0.89 500 L4h-smooth.eff +# L4k block +8.00 15:03:35.00 -18:15:42.0 2453149.8573703 0.90 500 L4k-smooth.eff +8.00 15:19:51.50 -19:19:57.0 2453149.8685572 0.90 500 L4k-smooth.eff +# L4m block +6.00 19:01:54.83 -23:09:36.4 2453181.9567119 0.89 500 L4m-smooth.eff +6.00 19:27:00.80 -22:24:49.2 2453181.9651722 0.89 500 L4m-smooth.eff +# L4n block +7.00 19:08:07.46 -22:01:49.1 2453208.9339484 0.90 500 L4n-smooth.eff +7.00 19:37:23.47 -21:04:04.8 2453208.9458980 0.90 500 L4n-smooth.eff +# L4o block +6.00 19:01:47.45 -24:06:53.8 2453210.9279286 0.90 500 L4o-smooth.eff +7.00 19:29:01.82 -23:24:16.3 2453210.9378452 0.90 500 L4o-smooth.eff +# L4p block +8.00 20:45:23.22 -18:59:46.4 2453232.8416795 0.85 500 L4p-smooth.eff +8.00 21:01:36.60 -17:53:50.5 2453232.8549195 0.85 500 L4p-smooth.eff +# L4q block +8.00 21:17:44.53 -16:42:31.2 2453236.8527797 0.85 500 L4q-smooth.eff +8.00 21:33:45.46 -15:26:41.3 2453236.8658183 0.85 500 L4q-smooth.eff +# L4v block +8.00 02:26:53.36 +14:32:03.2 2453318.8793730 0.78 500 L4v-smooth.eff +7.00 02:42:55.80 +15:48:10.4 2453318.8923642 0.78 500 L4v-smooth.eff +# +# L5c block +4.00 09:01:05.00 +17:56:40.0 2453411.7959145 0.84 500 L5c-smooth.eff +6.00 09:11:11.50 +17:13:16.1 2453411.8024141 0.84 500 L5c-smooth.eff +4.00 09:21:14.40 +16:27:27.4 2453411.8106376 0.84 500 L5c-smooth.eff +1.00 09:27:16.34 +16:28:18.1 2453411.8286424 0.84 500 L5c-smooth.eff +# L5i block +8.00 16:09:18.20 -21:57:38:0 2453502.9484194 0.90 500 L5i-smooth.eff +8.00 16:25:57:20 -22:38:20.0 2453502.9615431 0.90 500 L5i-smooth.eff +# L5j block +8.00 16:01:01.00 -19:35:46.0 2453531.9001671 0.89 500 L5j-smooth.eff +8.00 16:17:36.10 -20:22:54.0 2453531.9116918 0.89 500 L5j-smooth.eff +# L5r block +5.73 22:32:16.80 +03:25:50.0 2453616.8042273 0.90 500 L5r-smooth.eff +1.00 22:36:06.38 +04:53:28.3 2453616.8092135 0.90 500 L5r-smooth.eff +3.84 22:41:50.10 +04:24:52.3 2453616.8125445 0.90 500 L5r-smooth.eff +# L5s block +5.75 22:24:35.47 +14:05:15.6 2453616.8225482 0.90 500 L5s-smooth.eff +1.00 22:28:28.28 +15:32:56.5 2453616.8274346 0.90 500 L5s-smooth.eff +3.94 22:34:10.10 +15:04:40.0 2453616.8307352 0.90 500 L5s-smooth.eff +# L7a block +1.00 08:57:19.75 +15:52:32.0 2454119.9187501 0.89 500 L7a-smooth.eff +3.00 08:57:38.25 +18:33:44.9 2454119.8411424 0.89 500 L7a-smooth.eff +5.28 08:43:11.55 +16:28:50.0 2454119.8392796 0.89 500 L7a-smooth.eff +11.00 08:45:10.00 +18:50:00.0 2454119.8245472 0.89 500 L7a-smooth.eff +4.73 08:31:35.35 +19:30:20.0 2454115.9009350 0.89 500 L7a-smooth.eff +# +# Presurvey block +6.58 21:59:59.30 -12:59:59.0 2452491.9932900 0.90 500 presurvey-smooth.eff +# +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# HL6l block 15 sq.deg. Initially 16 pointings, but 2 at the same place +6.00 18:14:00.00 -06:30:00.0 2453909.9164294 0.80 500 HL6l-smooth.eff +8.00 18:18:03.00 -06:30:00.0 2453909.9164294 0.80 500 HL6l-smooth.eff +1.00 18:14:00.00 -11:00:00.0 2453909.9164294 0.80 500 HL6l-smooth.eff +# +# HL6r block 16 sq.deg. +12.00 22:37:52.50 +07:35:00.0 2453996.9038535 0.80 500 HL6r-smooth.eff +4.00 22:35:58.48 +05:30:00.0 2453996.9038535 0.80 500 HL6r-smooth.eff +# +# HL7a block 32 sq.deg. +7.00 12:59:44.79 +61:15:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +8.00 13:01:41.93 +57:30:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +10.00 13:07:38.87 +53:00:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +7.00 13:16:52.99 +48:45:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +# +# HL7b block 32 sq.deg. +16.00 11:31:54.00 +39:30:00.0 2454182.9163265 0.88 500 HL7b-smooth.eff +16.00 11:33:40.00 +35:30:00.0 2454182.9163265 0.88 500 HL7b-smooth.eff +# +# HL7c block 32 sq.deg. +16.00 11:34:28.22 +31:30:15.0 2454180.9057794 0.89 500 HL7c-smooth.eff +16.00 11:32:22.08 +27:30:08.7 2454180.9057794 0.89 500 HL7c-smooth.eff +# +# HL7d block 32 sq.deg. +9.00 12:42:10.77 +62:45:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +10.00 12:46:11.82 +58:00:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +8.00 12:53:09.13 +53:30:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +5.00 13:01:00.78 +50:15:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +# +# HL7e block 32 sq.deg. +11.00 13:16:24.26 +58:15:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +8.00 13:20:16.94 +53:30:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +8.00 13:27:03.84 +49:30:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +5.00 13:34:50.13 +46:00:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +# +# HL7j block 32 sq.deg. +15.00 16:20:00.00 +17:00:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +8.00 16:23:09.35 +12:30:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +7.00 16:23:22.09 +07:30:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +2.00 16:25:00.00 +02:30:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +# +# HL7l block 27 sq.deg. +12.00 17:50:36.80 +20:00:00.0 2454263.9342620 0.90 500 HL7l-smooth.eff +15.00 17:44:18.00 +16:30:00.0 2454263.9342620 0.90 500 HL7l-smooth.eff +# +# HL7o block 32 sq.deg. +3.00 22:17:10.00 +13:00:00.0 2454332.7937039 0.90 500 HL7o-smooth.eff +4.00 22:14:35.00 +15:30:00.0 2454332.7937039 0.90 500 HL7o-smooth.eff +3.00 22:13:18.02 +18:00:45.7 2454332.7937039 0.90 500 HL7o-smooth.eff +22.00 22:10:00.02 +25:00:45.7 2454332.7937039 0.90 500 HL7o-smooth.eff +# +# HL7p block 32 sq.deg. +8.00 22:11:36.38 +12:30:33.0 2454349.7989514 0.84 500 HL7p-smooth.eff +10.00 22:06:24.38 +17:00:33.0 2454349.7989514 0.84 500 HL7p-smooth.eff +14.00 22:02:24.38 +25:00:33.0 2454349.7989514 0.84 500 HL7p-smooth.eff +# +# HL7s block 31 sq.deg. +3.00 23:56:04.32 +39:00:00.0 2454362.8066242 0.98 500 HL7s-smooth.eff +18.00 23:57:04.13 +28:30:00.0 2454362.8066242 0.98 500 HL7s-smooth.eff +10.00 00:02:02.70 +23:30:00.0 2454362.8066242 0.98 500 HL7s-smooth.eff +# +# HL8a block 30 sq.deg. +12.00 09:24:00.82 +66:30:00.0 2454473.8962679 0.90 500 HL8a-smooth.eff +18.00 09:23:12.32 +61:30:00.0 2454473.8962679 0.90 500 HL8a-smooth.eff +# +# HL8b block 25 sq.deg. +17.00 09:51:40.55 +63:45:00.0 2454474.9093352 0.90 500 HL8b-smooth.eff +4.00 09:45:47.70 +59:00:00.0 2454474.9093352 0.90 500 HL8b-smooth.eff +4.00 09:59:26.36 +57:30:00.0 2454474.9093352 0.90 500 HL8b-smooth.eff +# +# HL8h block 11 sq.deg. +1.00 16:33:11.28 +13:47:06.0 2454592.0612175 0.88 500 HL8h-smooth.eff +10.00 16:32:00.07 +09:35:00.0 2454592.0612175 0.88 500 HL8h-smooth.eff +# +# HL8i block 11 sq.deg. +5.00 16:37:30.00 +25:00:00.0 2454595.9743127 0.90 500 HL8i-smooth.eff +6.00 16:08:00.00 +26:00:00.0 2454595.9743127 0.90 500 HL8i-smooth.eff +# +# HL8k block 12 sq.deg. +9.00 17:34:52.33 +25:00:00.0 2454597.9723680 0.90 500 HL8k-smooth.eff +2.00 17:33:49.23 +23:00:00.0 2454597.9723680 0.90 500 HL8k-smooth.eff +1.00 17:36:58.07 +22:00:00.0 2454597.9723680 0.90 500 HL8k-smooth.eff +# +# HL8l block 13 sq.deg. +13.00 17:35:36.30 +19:15:00.0 2454599.9639675 0.90 500 HL8l-smooth.eff +# +# HL8m block 12 sq.deg. +6.00 16:56:57.59 +26:00:00.0 2454616.9307835 0.90 500 HL8m-smooth.eff +6.00 16:58:10.96 +20:30:00.0 2454616.9307835 0.90 500 HL8m-smooth.eff +# +# HL8n block 11 sq.deg. +10.00 16:53:21.57 +22:00:00.0 2454617.8623710 0.89 500 HL8n-smooth.eff +1.00 16:50:17.94 +28:00:00.0 2454617.8623710 0.89 500 HL8n-smooth.eff +# +# HL8o block 12 sq.deg. +12.10 16:48:12.00 +23:00:00.0 2454624.9487368 0.90 500 HL8o-smooth.eff +# +# HL9 block 219 sq.deg. +10.00 18:11:12.61 +47:34:30.0 2454994.97183 0.9164 500 HL902-smooth.eff + 6.00 18:35:37.61 +47:34:30.0 2454994.97183 0.9164 500 HL901-smooth.eff + 4.00 18:11:36.90 +49:05:54.0 2454994.97183 0.9164 500 HL901-smooth.eff +10.00 18:54:36.90 +49:05:54.0 2454994.97183 0.9164 500 HL903-smooth.eff +10.00 18:30:00.90 +50:06:14.0 2454994.97183 0.9164 500 HL904-smooth.eff +10.00 18:29:46.90 +51:06:34.0 2454994.97183 0.9164 500 HL905-smooth.eff +10.00 18:29:26.90 +52:07:04.0 2454994.97183 0.9164 500 HL906-smooth.eff +10.00 18:29:06.90 +53:07:34.0 2454994.97183 0.9164 500 HL907-smooth.eff +10.00 18:28:50.90 +54:07:54.0 2454994.97183 0.9164 500 HL908-smooth.eff +10.00 19:10:08.90 +52:07:04.0 2454994.97183 0.9164 500 HL909-smooth.eff +10.00 19:23:54.90 +52:07:04.0 2454994.97183 0.9164 500 HL910-smooth.eff + 9.00 18:05:20.00 +56:09:36.0 2454994.97183 0.9164 500 HL911-smooth.eff +10.00 18:53:20.00 +55:08:36.0 2454994.97183 0.9164 500 HL912-smooth.eff +10.00 18:53:40.00 +56:09:36.0 2454994.97183 0.9164 500 HL913-smooth.eff +10.00 18:53:52.00 +57:10:06.0 2454994.97183 0.9164 500 HL914-smooth.eff +10.00 18:34:46.38 +58:10:44.0 2454994.97183 0.9164 500 HL915-smooth.eff +10.00 18:34:37.38 +59:11:24.0 2454994.97183 0.9164 500 HL916-smooth.eff +10.00 18:34:19.38 +60:12:04.0 2454994.97183 0.9164 500 HL917-smooth.eff + 6.00 19:23:31.38 +59:11:24.0 2454994.97183 0.9164 500 HL918-smooth.eff + 1.00 17:58:54.78 +61:12:35.9 2454994.97183 0.9164 500 HL911-smooth.eff +10.00 18:45:20.78 +61:12:35.9 2454994.97183 0.9164 500 HL919-smooth.eff +10.00 18:52:26.63 +62:43:30.0 2454994.97183 0.9164 500 HL920-smooth.eff + 4.00 19:24:12.63 +62:43:30.0 2454994.97183 0.9164 500 HL918-smooth.eff + 9.00 18:54:11.17 +43:05:45.3 2455034.89755 0.9164 500 HL921-smooth.eff +10.00 19:01:11.17 +42:35:45.3 2455034.89755 0.9164 500 HL922-smooth.eff diff --git a/src/ossssim/Characterizations/All_Surveys/pointings.list b/src/ossssim/Characterizations/All_Surveys/pointings.list new file mode 100644 index 0000000..f007571 --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/pointings.list @@ -0,0 +1,627 @@ +# This is the OSSOS survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# For Megaprime, the 36 CCDs are 2048x4612 with pixels 0.18689x0.18689", so +# assuming a total footprint of 1 sq.deg, the filling factor is 0.9164 +# +# 2013A-E block +# +# From JJ's e-mail on Dec. 2nd, 2014, there were 7 chips out of 756 that had +# a PSF problem, thus the pipeline did not run to the end. All other cases +# had good trans.jmp files and completed correctly. So effective surface +# area is 749/756 = 99.07%, so filling factor is 0.9907*0.9164=0.9079 +# +poly 4 14:15:28.89 -12:32:28.5 2456391.86686 0.9079 500 2013AE.eff +-3.5 -0.434889 +-3.5 2.565111 + 3.5 0.473417 + 3.5 -2.526583 +# +# 2013A-O block +# +# From my own work and from JJ's e-mail from Nov. 30th, 2014, there were 9 +# chips out of 756 which had bad trans.jmp files. So the effective search area +# was 747/756 = 98.81% of the total area, so the filling factor is +# 0.9881*0.9164 = 0.9055 +# +poly 4 15:58:01.35 -12:19:54.2 2456420.95956 0.9055 500 2013AO.eff +-3.5 -0.862333 +-3.5 2.137667 + 3.5 0.915750 + 3.5 -2.084250 +# +# 2013B-L block +# +# From checking the vtags of Lblock_redo, only 20 fields were searched, and out +# of the 720 chips, 1 had problems at step2 which propaged to step3 and +# combine. So effective surface area is 719/720 = 99.86% of the total area, so +# filling factor is 0.9986*0.9164 = 0.9151 +# +# Here we use the 'polygon search' feature. Make sure we remove the 1 +# sq.deg. field that was not searched, at the bottom of the central column. +# +poly 8 00:52:55.81 +03:43:49.1 2456596.72735 0.9151 500 2013BL.eff +-3.5 -2.743222 +-3.5 0.256778 + 3.5 2.743222 + 3.5 -0.256778 + 0.5 -1.322397 + 0.5 -0.322397 +-0.5 -0.677603 +-0.5 -1.677603 +# +# 2014B-H block +# +# From checking the vtags of Hblock, I find only 751 chips successful out of +# 756 (my e-mail to JJ from Nov. 30, 2015). In the same time, JJ find only 2 +# faulty chips. Until I get an answer from him, I'll stick to my findings. +# So effective surface area is 751/756 = 99.34% of the total area, so +# filling factor is 0.9986*0.9164 = 0.9103 +# +# This is using the new feature (as of 2016-03-09) of polygons to describe the +# footprint of the block. +# +poly 4 01:35:14.39 +13:28:25.3 2456952.77017 0.9103 500 2014BH.eff +-3.5 -2.700361 +-3.5 0.299639 + 3.5 2.670528 + 3.5 -0.329472 +# +# 2015A-P block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 2 out of 800 chips failed, so effective area is +# 798/800 = 0.9975 = 99.75% of the total area, so filling factor becomes +# 0.99875*0.9297 = 0.9274. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994446 so the factor is 1./1.005554 +# So the filling factor is 0.9975*0.9297/1.005554 = 0.9223. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*798/1.005554 = 19.89139 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.89139/21.6544 = 0.9186 +# +poly 4 13:30:22.11 -07:47:23.0 2457125.86971 0.9186 500 2015AP.eff +-2.721979 -0.994426 +-2.721979 2.983277 + 2.721979 0.994426 + 2.721979 -2.983277 +# +# 2015A-M block +# +# This is a block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, 0 out of 800 chips failed, so effective area is +# 800/800 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994672 so the factor is 1./1.005328 +# So the filling factor is 1.0*0.9297/1.005328 = 0.9248. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*800/1.005328 = 19.94573 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.94573/21.6544 = 0.9211 +# +poly 4 15:34:41.30 -12:08:36.0 2457163.81831 0.9211 500 2015AM.eff +-2.721979 -0.994426 +-2.721979 2.983277 + 2.721979 0.994426 + 2.721979 -2.983277 +# +# 2015B-S block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995995 so the factor is 1./1.004005 +# So the filling factor is 1.0*0.9297/1.004005 = 0.92599. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004005 = 9.98601 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98601/10.8272 = 0.9223 +# +poly 4 00:30:08.35 +06:00:09.5 2457274.92965 0.9223 500 2015BS.eff +-2.721979 -1.98885125 +-2.721979 0. + 2.721979 1.98885125 + 2.721979 -0. +# +# 2015B-T block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995991 so the factor is 1./1.004009 +# So the filling factor is 1.0*0.9297/1.004009 = 0.9260. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004009 = 9.98597 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98597/10.8272 = 0.9223 +# +poly 4 00:30:08.35 +04:02:04.5 2457273.92965 0.9223 500 2015BT.eff +-2.721979 -1.98885125 +-2.721979 0. + 2.721979 1.98885125 + 2.721979 -0. +# +# 2015B-D block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 320 chips failed, so effective area is +# 320/320 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994686 so the factor is 1./1.005314 +# So the filling factor is 1.0*0.9297/1.005314 = 0.92479. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*320/1.005314 = 7.97840 +# sq.deg. +# +# In the following, the total surface area is 2*1.0887916*(2.3866217+1.5910813) +# = 8.66178 sq.deg. So the final filling factor is effective area / total +# surface area = 7.97840/8.66178 = 0.9211 +# +#poly 4 03:08:30.88 +15:46:36.6 2457333.85377 0.9211 500 2015BD.eff +poly 4 03:12:58.36 +16:16:06.4 2457333.85377 0.9211 500 2015BD.eff +-1.0887916 -2.3866217 +-1.0887916 1.5910813 + 1.0887916 2.3866217 + 1.0887916 -1.5910813 +# +# 2015B-C block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 480 chips failed, so effective area is +# 480/480 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995172 so the factor is 1./1.004828 +# So the filling factor is 1.0*0.9297/1.004828 = 0.92523. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*480/1.004828 = 11.97339 +# sq.deg. +# +# In the following, the total surface area is 2*1.6331874*(2.5855068+1.3921962) +# = 12.99267 sq.deg. So the final filling factor is effective area / total +# surface area = 11.97339/12.99267 = 0.9215 +# +#poly 4 03:19:52.10 +17:00:44.9 2457332.83884 0.9215 500 2015BC.eff +#-1.6331874 -2.5855068 +#-1.6331874 1.3921962 +# 1.6331874 2.5855068 +# 1.6331874 -1.3921962 +poly 4 03:22:09.15 +17:15:44.0 2457332.83884 0.9215 500 2015BC.eff +-1.0887916 -2.3866217 +-1.0887916 1.5910813 + 1.0887916 2.3866217 + 1.0887916 -1.5910813 +poly 4 03:06:18.32 +15:31:56.3 2457332.83884 0.9215 500 2015BC.eff +-0.5443958 -2.1877366 +-0.5443958 1.7899664 + 0.5443958 2.1877366 + 0.5443958 -1.7899664 +# +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# + 4.887 1.990 01:51:08.00 +15:51:48.0 2455860.843750 0.916 500 ma11la.eff + 4.922 1.990 01:51:08.00 +13:54:00.0 2455858.963195 0.912 500 ma11la.eff + 1.993 2.984 01:41:01.70 +28:10:00.0 2456220.904167 0.907 500 ma12ha.eff + 1.993 2.984 01:49:58.30 +28:10:00.0 2456221.947917 0.907 500 ma12ha.eff +# +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# For Megaprime, the 36 CCDs are 2048x4612 with pixels 0.18689x0.18689", so +# assuming a total footprint of 1 sq.deg, the filling factor is 0.9164 +# +# L3f block +# +poly 4 12:42:04.00 -04:31:00.0 2452722.9600000 0.80 500 L3f-smooth.eff +-2.56342553 -1.19534495 +-1.19534495 2.56342553 + 2.56342553 1.19534495 + 1.19534495 -2.56342553 +# +# L3h block +# +4.00 4.00 13:03:51.43 -06:47:24.4 2452755.8399121 0.81 500 L3h-smooth.eff +# +# L3q block +# +poly 4 22:01:39.48 -12:04:38.5 2452882.8300000 0.89 500 L3q-smooth.eff +-2. -2.5 +-2. 1.5 + 2. 2.5 + 2. -1.5 +# +# L3w block +# +8.00 1.00 04:17:14.71 +21:50:00.0 2452989.8165311 0.87 500 L3w-smooth.eff +8.00 1.00 04:50:41.56 +22:58:33.6 2452989.8296229 0.87 500 L3w-smooth.eff +# +# L3s block +# +poly 4 23:43:22.00 -01:18:42.5 2452909.8670000 0.83 500 L3s-smooth.eff +-7. -3.20764 +-7. -2.20764 + 7. 3.20764 + 7. 2.20764 +# +# L3y block +# +4.00 4.00 07:30:39.60 +21:48:15.0 2452997.9570000 0.85 500 L3y-smooth.eff +# +# L4j block +4.00 2.00 15:03:37.90 -16:19:00.0 2453120.9341016 0.89 500 L4j-smooth.eff +4.00 2.00 15:19:54.35 -17:23:18.5 2453120.9454667 0.89 500 L4j-smooth.eff +# L4h block +4.00 2.00 13:27:56.10 -08:14:20.0 2453121.8249416 0.89 500 L4h-smooth.eff +3.50 2.00 13:43:40.50 -09:45:00.0 2453121.8362773 0.89 500 L4h-smooth.eff +# L4k block +4.00 2.00 15:03:35.00 -18:15:42.0 2453149.8573703 0.90 500 L4k-smooth.eff +4.00 2.00 15:19:51.50 -19:19:57.0 2453149.8685572 0.90 500 L4k-smooth.eff +# L4m block +6.00 1.00 19:01:54.83 -23:09:36.4 2453181.9567119 0.89 500 L4m-smooth.eff +6.00 1.00 19:27:00.80 -22:24:49.2 2453181.9651722 0.89 500 L4m-smooth.eff +# L4n block +7.00 1.00 19:08:07.46 -22:01:49.1 2453208.9339484 0.90 500 L4n-smooth.eff +7.00 1.00 19:37:23.47 -21:04:04.8 2453208.9458980 0.90 500 L4n-smooth.eff +# L4o block +6.00 1.00 19:01:47.45 -24:06:53.8 2453210.9279286 0.90 500 L4o-smooth.eff +7.00 1.00 19:29:01.82 -23:24:16.3 2453210.9378452 0.90 500 L4o-smooth.eff +# L4p block +4.00 2.00 20:45:23.22 -18:59:46.4 2453232.8416795 0.85 500 L4p-smooth.eff +4.00 2.00 21:01:36.60 -17:53:50.5 2453232.8549195 0.85 500 L4p-smooth.eff +# L4q block +4.00 2.00 21:17:44.53 -16:42:31.2 2453236.8527797 0.85 500 L4q-smooth.eff +4.00 2.00 21:33:45.46 -15:26:41.3 2453236.8658183 0.85 500 L4q-smooth.eff +# L4v block +4.00 2.00 02:26:53.36 +14:32:03.2 2453318.8793730 0.78 500 L4v-smooth.eff +3.50 2.00 02:42:55.80 +15:48:10.4 2453318.8923642 0.78 500 L4v-smooth.eff +# +# L5c block +2.00 2.00 09:01:05.00 +17:56:40.0 2453411.7959145 0.84 500 L5c-smooth.eff +3.00 2.00 09:11:11.50 +17:13:16.1 2453411.8024141 0.84 500 L5c-smooth.eff +2.00 2.00 09:21:14.40 +16:27:27.4 2453411.8106376 0.84 500 L5c-smooth.eff +1.00 1.00 09:27:16.34 +16:28:18.1 2453411.8286424 0.84 500 L5c-smooth.eff +# L5i block +4.00 2.00 16:09:18.20 -21:57:38:0 2453502.9484194 0.90 500 L5i-smooth.eff +4.00 2.00 16:25:57:20 -22:38:20.0 2453502.9615431 0.90 500 L5i-smooth.eff +# L5j block +4.00 2.00 16:01:01.00 -19:35:46.0 2453531.9001671 0.89 500 L5j-smooth.eff +4.00 2.00 16:17:36.10 -20:22:54.0 2453531.9116918 0.89 500 L5j-smooth.eff +# L5r block +2.91 1.97 22:32:16.80 +03:25:50.0 2453616.8042273 0.90 500 L5r-smooth.eff +1.00 1.00 22:36:06.38 +04:53:28.3 2453616.8092135 0.90 500 L5r-smooth.eff +1.95 1.97 22:41:50.10 +04:24:52.3 2453616.8125445 0.90 500 L5r-smooth.eff +# L5s block +2.92 1.97 22:24:35.47 +14:05:15.6 2453616.8225482 0.90 500 L5s-smooth.eff +1.00 1.00 22:28:28.28 +15:32:56.5 2453616.8274346 0.90 500 L5s-smooth.eff +2.00 1.97 22:34:10.10 +15:04:40.0 2453616.8307352 0.90 500 L5s-smooth.eff +# L7a block +1.00 1.00 08:57:19.75 +15:52:32.0 2454119.9187501 0.89 500 L7a-smooth.eff +2.00 1.50 08:57:38.25 +18:33:44.9 2454119.8411424 0.89 500 L7a-smooth.eff +2.75 1.92 08:43:11.55 +16:28:50.0 2454119.8392796 0.89 500 L7a-smooth.eff +4.00 2.75 08:45:10.00 +18:50:00.0 2454119.8245472 0.89 500 L7a-smooth.eff +2.17 2.18 08:31:35.35 +19:30:20.0 2454115.9009350 0.89 500 L7a-smooth.eff +# +# Presurvey block +3.50 1.88 21:59:59.30 -12:59:59.0 2452491.9932900 0.90 500 presurvey-smooth.eff +# +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# HL6l block 15 sq.deg. Initially 16 pointings, but 2 at the same place +1.00 6.00 18:14:00.00 -06:30:00.0 2453909.9164294 0.80 500 HL6l-smooth.eff +1.00 8.00 18:18:03.00 -06:30:00.0 2453909.9164294 0.80 500 HL6l-smooth.eff +1.00 1.00 18:14:00.00 -11:00:00.0 2453909.9164294 0.80 500 HL6l-smooth.eff +# +# HL6r block 16 sq.deg. +4.00 3.00 22:37:52.50 +07:35:00.0 2453996.9038535 0.80 500 HL6r-smooth.eff +3.00 1.33 22:35:58.48 +05:30:00.0 2453996.9038535 0.80 500 HL6r-smooth.eff +# +# HL7a block 32 sq.deg. +2.00 3.50 12:59:44.79 +61:15:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +2.00 4.00 13:01:41.93 +57:30:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +2.00 5.00 13:07:38.87 +53:00:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +2.00 3.50 13:16:52.99 +48:45:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +# +# HL7b block 32 sq.deg. +4.00 4.00 11:31:54.00 +39:30:00.0 2454182.9163265 0.88 500 HL7b-smooth.eff +4.00 4.00 11:33:40.00 +35:30:00.0 2454182.9163265 0.88 500 HL7b-smooth.eff +# +# HL7c block 32 sq.deg. +4.00 4.00 11:34:28.22 +31:30:15.0 2454180.9057794 0.89 500 HL7c-smooth.eff +4.00 4.00 11:32:22.08 +27:30:08.7 2454180.9057794 0.89 500 HL7c-smooth.eff +# +# HL7d block 32 sq.deg. +2.00 4.50 12:42:10.77 +62:45:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +2.00 5.00 12:46:11.82 +58:00:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +2.00 4.00 12:53:09.13 +53:30:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +2.00 2.50 13:01:00.78 +50:15:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +# +# HL7e block 32 sq.deg. +2.00 5.50 13:16:24.26 +58:15:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +2.00 4.00 13:20:16.94 +53:30:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +2.00 4.00 13:27:03.84 +49:30:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +2.00 2.50 13:34:50.13 +46:00:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +# +# HL7j block 32 sq.deg. +3.00 5.00 16:20:00.00 +17:00:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +2.00 4.00 16:23:09.35 +12:30:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +1.17 6.00 16:23:22.09 +07:30:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +1.00 2.00 16:25:00.00 +02:30:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +# +# HL7l block 27 sq.deg. +4.00 3.00 17:50:36.80 +20:00:00.0 2454263.9342620 0.90 500 HL7l-smooth.eff +3.75 4.00 17:44:18.00 +16:30:00.0 2454263.9342620 0.90 500 HL7l-smooth.eff +# +# HL7o block 32 sq.deg. +1.00 3.00 22:17:10.00 +13:00:00.0 2454332.7937039 0.90 500 HL7o-smooth.eff +2.00 2.00 22:14:35.00 +15:30:00.0 2454332.7937039 0.90 500 HL7o-smooth.eff +1.00 3.00 22:13:18.02 +18:00:45.7 2454332.7937039 0.90 500 HL7o-smooth.eff +2.00 11.0 22:10:00.02 +25:00:45.7 2454332.7937039 0.90 500 HL7o-smooth.eff +# +# HL7p block 32 sq.deg. +2.00 4.00 22:11:36.38 +12:30:33.0 2454349.7989514 0.84 500 HL7p-smooth.eff +2.00 5.00 22:06:24.38 +17:00:33.0 2454349.7989514 0.84 500 HL7p-smooth.eff +1.27 11.0 22:02:24.38 +25:00:33.0 2454349.7989514 0.84 500 HL7p-smooth.eff +# +# HL7s block 31 sq.deg. +1.00 3.00 23:56:04.32 +39:00:00.0 2454362.8066242 0.98 500 HL7s-smooth.eff +1.28 14.0 23:57:04.13 +28:30:00.0 2454362.8066242 0.98 500 HL7s-smooth.eff +2.00 5.00 00:02:02.70 +23:30:00.0 2454362.8066242 0.98 500 HL7s-smooth.eff +# +# HL8a block 30 sq.deg. +3.00 4.00 09:24:00.82 +66:30:00.0 2454473.8962679 0.90 500 HL8a-smooth.eff +3.00 6.00 09:23:12.32 +61:30:00.0 2454473.8962679 0.90 500 HL8a-smooth.eff +# +# HL8b block 25 sq.deg. +2.62 6.50 09:51:40.55 +63:45:00.0 2454474.9093352 0.90 500 HL8b-smooth.eff +1.33 3.00 09:45:47.70 +59:00:00.0 2454474.9093352 0.90 500 HL8b-smooth.eff +2.00 2.00 09:59:26.36 +57:30:00.0 2454474.9093352 0.90 500 HL8b-smooth.eff +# +# HL8h block 11 sq.deg. +1.00 1.00 16:33:11.28 +13:47:06.0 2454592.0612175 0.88 500 HL8h-smooth.eff +3.16 3.16 16:32:00.07 +09:35:00.0 2454592.0612175 0.88 500 HL8h-smooth.eff +# +# HL8i block 11 sq.deg. +5.00 1.00 16:37:30.00 +25:00:00.0 2454595.9743127 0.90 500 HL8i-smooth.eff +6.00 1.00 16:08:00.00 +26:00:00.0 2454595.9743127 0.90 500 HL8i-smooth.eff +# +# HL8k block 12 sq.deg. +3.00 3.00 17:34:52.33 +25:00:00.0 2454597.9723680 0.90 500 HL8k-smooth.eff +2.00 1.00 17:33:49.23 +23:00:00.0 2454597.9723680 0.90 500 HL8k-smooth.eff +1.00 1.00 17:36:58.07 +22:00:00.0 2454597.9723680 0.90 500 HL8k-smooth.eff +# +# HL8l block 13 sq.deg. +2.36 5.50 17:35:36.30 +19:15:00.0 2454599.9639675 0.90 500 HL8l-smooth.eff +# +# HL8m block 12 sq.deg. +2.00 3.00 16:56:57.59 +26:00:00.0 2454616.9307835 0.90 500 HL8m-smooth.eff +1.00 6.00 16:58:10.96 +20:30:00.0 2454616.9307835 0.90 500 HL8m-smooth.eff +# +# HL8n block 11 sq.deg. +1.11 9.00 16:53:21.57 +22:00:00.0 2454617.8623710 0.89 500 HL8n-smooth.eff +1.00 1.00 16:50:17.94 +28:00:00.0 2454617.8623710 0.89 500 HL8n-smooth.eff +# +# HL8o block 12 sq.deg. +1.10 11.0 16:48:12.00 +23:00:00.0 2454624.9487368 0.90 500 HL8o-smooth.eff +# +# HL9 block 219 sq.deg. + 5.00 2.00 18:11:12.61 +47:34:30.0 2454994.97183 0.9164 500 HL902-smooth.eff + 3.00 2.00 18:35:37.61 +47:34:30.0 2454994.97183 0.9164 500 HL901-smooth.eff + 4.00 1.00 18:11:36.90 +49:05:54.0 2454994.97183 0.9164 500 HL901-smooth.eff +10.00 1.00 18:54:36.90 +49:05:54.0 2454994.97183 0.9164 500 HL903-smooth.eff +10.00 1.00 18:30:00.90 +50:06:14.0 2454994.97183 0.9164 500 HL904-smooth.eff +10.00 1.00 18:29:46.90 +51:06:34.0 2454994.97183 0.9164 500 HL905-smooth.eff +10.00 1.00 18:29:26.90 +52:07:04.0 2454994.97183 0.9164 500 HL906-smooth.eff +10.00 1.00 18:29:06.90 +53:07:34.0 2454994.97183 0.9164 500 HL907-smooth.eff +10.00 1.00 18:28:50.90 +54:07:54.0 2454994.97183 0.9164 500 HL908-smooth.eff + 2.00 5.00 19:10:08.90 +52:07:04.0 2454994.97183 0.9164 500 HL909-smooth.eff + 2.00 5.00 19:23:54.90 +52:07:04.0 2454994.97183 0.9164 500 HL910-smooth.eff + 3.00 3.00 18:05:20.00 +56:09:36.0 2454994.97183 0.9164 500 HL911-smooth.eff +10.00 1.00 18:53:20.00 +55:08:36.0 2454994.97183 0.9164 500 HL912-smooth.eff +10.00 1.00 18:53:40.00 +56:09:36.0 2454994.97183 0.9164 500 HL913-smooth.eff +10.00 1.00 18:53:52.00 +57:10:06.0 2454994.97183 0.9164 500 HL914-smooth.eff +10.00 1.00 18:34:46.38 +58:10:44.0 2454994.97183 0.9164 500 HL915-smooth.eff +10.00 1.00 18:34:37.38 +59:11:24.0 2454994.97183 0.9164 500 HL916-smooth.eff +10.00 1.00 18:34:19.38 +60:12:04.0 2454994.97183 0.9164 500 HL917-smooth.eff + 2.00 3.00 19:23:31.38 +59:11:24.0 2454994.97183 0.9164 500 HL918-smooth.eff + 1.00 1.00 17:58:54.78 +61:12:35.9 2454994.97183 0.9164 500 HL911-smooth.eff +10.00 1.00 18:45:20.78 +61:12:35.9 2454994.97183 0.9164 500 HL919-smooth.eff + 5.00 2.00 18:52:26.63 +62:43:30.0 2454994.97183 0.9164 500 HL920-smooth.eff + 2.00 2.00 19:24:12.63 +62:43:30.0 2454994.97183 0.9164 500 HL918-smooth.eff + 1.00 9.00 18:54:11.17 +43:05:45.3 2455034.89755 0.9164 500 HL921-smooth.eff + 1.00 10.00 19:01:11.17 +42:35:45.3 2455034.89755 0.9164 500 HL922-smooth.eff diff --git a/src/ossssim/Characterizations/All_Surveys/presurvey-smooth.eff b/src/ossssim/Characterizations/All_Surveys/presurvey-smooth.eff new file mode 100644 index 0000000..3199c1a --- /dev/null +++ b/src/ossssim/Characterizations/All_Surveys/presurvey-smooth.eff @@ -0,0 +1,26 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 8. -20. 15. +# +mag_error= 0.027 0.406 24.7 0.9 23.9 -0.5 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 23.3 -2.5 +# +filter= R +# +rates= 0.00 20.00 +function= double +double_param= 0.905 24.197 0.615 0.309 +# +# Limiting magnitude of the block +mag_lim= 24.05 diff --git a/src/ossssim/Characterizations/All_r_Surveys/2013AE.eff b/src/ossssim/Characterizations/All_r_Surveys/2013AE.eff new file mode 100644 index 0000000..b9d8feb --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/2013AE.eff @@ -0,0 +1,56 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 15.00 20.00 30.00 +# +mag_error= 0.06 0.38 24.7 0.6 23.7 -0.5 +# +phot_frac= 0.04 0.06 0.90 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +# As of 2015-08-07, we realised that measured magnitudes had changed for E +# block, in particular due to change in zeropoint when going from level 1 +# to level 3. The new zeropoint are on average 0.02 mag larger than before. +# Hence the magnitude term in the square_param lines below have been +# offset by that amount (the old values are kept in comments). +rates= 0.50 8.00 +function= square +square_param= 0.887741923 2.76305359E-02 24.1423416 0.153656587 +# Goodness of fit (reduced chi^2): 0.669 +# +# Limiting magnitude of the block +# Initial value of characterizatin limit was determined to insure 100% tracking +# efficiency, at a detection efficiency above 40% +#mag_lim= 24.05 +# We can now push the characterization limit to 40% efficiency and loose only +# o3e33, assuming we keep only the 3rd image measurement for o3e15. +mag_lim= 24.09 +# +rates= 8.00 11.00 +function= square +square_param= 0.895575285 2.31122747E-02 24.0048294 0.157101125 +# Goodness of fit (reduced chi^2): 0.470 +# +# Limiting magnitude of the block +#mag_lim= 23.95 +mag_lim= 23.85 +# +rates= 11.00 15.00 +function= square +square_param= 0.865791440 2.12179236E-02 23.8810692 0.155520618 +# Goodness of fit (reduced chi^2): 0.501 +# +# Limiting magnitude of the block +#mag_lim= 23.83 +mag_lim= 23.73 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/2013AO.eff b/src/ossssim/Characterizations/All_r_Surveys/2013AO.eff new file mode 100644 index 0000000..1671b0b --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/2013AO.eff @@ -0,0 +1,48 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 15.00 20.00 30.00 +# +mag_error= 0.06 0.30 25.1 0.6 24.4 -0.5 +# +phot_frac= 0.00 0.222 0.778 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +rates= 0.50 7.00 +function= square +square_param= 0.841375411 2.05407962E-02 24.5497284 0.110739127 +# Goodness of fit (reduced chi^2): 5.478 +# +# Limiting magnitude of the block +#mag_lim= 24.46 +mag_lim= 24.40 +# +# +rates= 7.00 10.00 +function= square +square_param= 0.877626657 1.88417193E-02 24.4186745 0.121682763 +# Goodness of fit (reduced chi^2): 1.396 +# +# Limiting magnitude of the block +#mag_lim= 24.36 +mag_lim= 24.26 +# +rates= 10.00 15.00 +function= square +square_param= 0.863873243 1.87772699E-02 24.2575226 0.145261303 +# Goodness of fit (reduced chi^2): 0.818 +# +# Limiting magnitude of the block +#mag_lim= 24.20 +mag_lim= 24.10 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/2013BL.eff b/src/ossssim/Characterizations/All_r_Surveys/2013BL.eff new file mode 100644 index 0000000..c6605cc --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/2013BL.eff @@ -0,0 +1,55 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 15.00 -23.00 30.00 +# +mag_error= 0.03 0.11 23.5 -0.12 24.5 -0.6 +# +phot_frac= 0.013 0.152 0.835 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +rates= 0.50 2.50 +function= square +square_param= 0.852392793 1.68104991E-02 24.5213051 0.148857504 +# Goodness of fit (reduced chi^2): 1.086 +# +# Limiting magnitude of the block +mag_lim= 24.45 +# +rates= 2.50 8.00 +function= square +square_param= 0.888259053 1.33343311E-02 24.4792595 0.145277739 +# Goodness of fit (reduced chi^2): 2.910 +# +# Limiting magnitude of the block +#mag_lim= 24.45 +mag_lim= 24.46 +# +rates= 8.00 12.00 +function= square +square_param= 0.884100020 9.23251361E-03 24.3310623 0.160950899 +# Goodness of fit (reduced chi^2): 0.689 +# +# Limiting magnitude of the block +#mag_lim= 24.32 +mag_lim= 24.22 +# +rates= 12.00 15.00 +function= square +square_param= 0.868348002 1.05533712E-02 24.2242832 0.154411465 +# Goodness of fit (reduced chi^2): 0.761 +# +# Limiting magnitude of the block +#mag_lim= 24.20 +mag_lim= 24.10 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/2014BH.eff b/src/ossssim/Characterizations/All_r_Surveys/2014BH.eff new file mode 100644 index 0000000..107629f --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/2014BH.eff @@ -0,0 +1,72 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.06 0.24 24.6 -0.01 24.4 -0.6 +# +phot_frac= 0.090 0.179 0.731 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.935312152 8.83434433E-03 24.6528168 0.176062375 +# Goodness of fit (reduced chi^2): 0.749 +# +# Limiting magnitude of the block +mag_lim= 24.66 +# +rates= 2.00 6.00 +function= double +double_param= 0.902244687 24.7926483 0.285338759 0.769840360 +# Goodness of fit (reduced chi^2): 0.833 +# +# Limiting magnitude of the block +#mag_lim= 24.64 +mag_lim= 24.67 +# +rates= 6.00 8.00 +function= square +square_param= 0.899700284 1.00836307E-02 24.5681419 0.171323597 +# Goodness of fit (reduced chi^2): 0.600 +# +# Limiting magnitude of the block +mag_lim= 24.55 +# +rates= 8.00 10.00 +function= square +square_param= 0.893210411 1.13223456E-02 24.5112667 0.166278049 +# Goodness of fit (reduced chi^2): 0.496 +# +# Limiting magnitude of the block +#mag_lim= 24.49 +mag_lim= 24.39 +# +rates= 10.00 12.00 +function= square +square_param= 0.878397822 1.13094356E-02 24.4453583 0.166974485 +# Goodness of fit (reduced chi^2): 0.879 +# +# Limiting magnitude of the block +#mag_lim= 24.42 +mag_lim= 24.32 +# +rates= 12.00 15.00 +function= square +square_param= 0.866272926 1.40404310E-02 24.3540421 0.167420089 +# Goodness of fit (reduced chi^2): 0.633 +# +# Limiting magnitude of the block +#mag_lim= 24.31 +mag_lim= 24.21 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/2015AM.eff b/src/ossssim/Characterizations/All_r_Surveys/2015AM.eff new file mode 100644 index 0000000..33af820 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/2015AM.eff @@ -0,0 +1,71 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 12.0 20.0 +# +mag_error= 0.020 0.12 23.8 -0.14 24.7 -0.34 +# +phot_frac= 0.073 0.364 0.563 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.938154340 1.07404441E-02 24.9222641 0.156125039 +# Goodness of fit (reduced chi^2): 0.967 +# +# Limiting magnitude of the block +mag_lim= 24.91 +# +rates= 2.00 6.00 +function= square +square_param= 0.916795731 1.27213169E-02 24.9023361 0.148992002 +# Goodness of fit (reduced chi^2): 0.269 +# +# Limiting magnitude of the block +mag_lim= 24.87 +# +rates= 6.00 8.00 +function= square +square_param= 0.890322566 1.30775571E-02 24.8419151 0.148460299 +# Goodness of fit (reduced chi^2): 0.696 +# +# Limiting magnitude of the block +mag_lim= 24.79 +# +rates= 8.00 10.00 +function= square +square_param= 0.881018519 1.35978991E-02 24.7838840 0.146249115 +# Goodness of fit (reduced chi^2): 0.504 +# +# Limiting magnitude of the block +#mag_lim= 24.73 +mag_lim= 24.63 +# +rates= 10.00 12.00 +function= square +square_param= 0.865377665 1.44656133E-02 24.7113113 0.148179635 +# Goodness of fit (reduced chi^2): 0.799 +# +# Limiting magnitude of the block +#mag_lim= 24.65 +mag_lim= 24.55 +# +rates= 12.00 15.00 +function= square +square_param= 0.845461726 1.48604941E-02 24.6220360 0.151784837 +# Goodness of fit (reduced chi^2): 0.846 +# +# Limiting magnitude of the block +#mag_lim= 24.55 +mag_lim= 24.45 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/2015AP.eff b/src/ossssim/Characterizations/All_r_Surveys/2015AP.eff new file mode 100644 index 0000000..5e8605d --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/2015AP.eff @@ -0,0 +1,72 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 20.0 22.0 +# +mag_error= 0.035 0.21 24.4 -0.05 24.8 -0.4 +# +phot_frac= 0.129 0.279 0.592 +# +track_frac= 0.9865 25.35 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.947899103 1.17114708E-02 24.7796631 0.183700129 +# Goodness of fit (reduced chi^2): 2.188 +# +# Limiting magnitude of the block +mag_lim= 24.77 +# +rates= 2.00 5.00 +function= square +square_param= 0.926963389 1.31419227E-02 24.7708035 0.178037807 +# Goodness of fit (reduced chi^2): 1.311 +# +# Limiting magnitude of the block +#mag_lim= 24.74 +mag_lim= 24.80 +# +rates= 5.00 8.00 +function= square +square_param= 0.898972332 1.24170277E-02 24.6998901 0.174402624 +# Goodness of fit (reduced chi^2): 0.726 +# +# Limiting magnitude of the block +mag_lim= 24.66 +# +rates= 8.00 10.00 +function= square +square_param= 0.877519727 1.25099272E-02 24.6331863 0.174904048 +# Goodness of fit (reduced chi^2): 0.840 +# +# Limiting magnitude of the block +#mag_lim= 24.59 +mag_lim= 24.49 +# +rates= 10.00 12.00 +function= square +square_param= 0.860023141 1.24099599E-02 24.5626755 0.177125990 +# Goodness of fit (reduced chi^2): 0.418 +# +# Limiting magnitude of the block +#mag_lim= 24.51 +mag_lim= 24.41 +# +rates= 12.00 15.00 +function= double +double_param= 0.825767696 24.6297474 0.910857081 0.311173081 +# Goodness of fit (reduced chi^2): 2.340 +# +# Limiting magnitude of the block +#mag_lim= 24.42 +mag_lim= 24.32 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/2015BC.eff b/src/ossssim/Characterizations/All_r_Surveys/2015BC.eff new file mode 100644 index 0000000..ff06bab --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/2015BC.eff @@ -0,0 +1,74 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.02 0.27 25.0 0.001 24.0 -0.22 +# +phot_frac= 0.129 0.279 0.592 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.933323383 1.22420564E-02 24.8778725 0.129970565 +# Goodness of fit (reduced chi^2): 2.789 +# +# Limiting magnitude of the block +# OK +mag_lim= 24.86 +# +rates= 2.00 6.00 +function= double +double_param= 0.878271341 24.9278564 0.235119641 0.791498780 +# Goodness of fit (reduced chi^2): 8.641 +# +# Limiting magnitude of the block +# OK +mag_lim= 24.78 +# +rates= 6.00 8.00 +function= square +square_param= 0.863195181 1.08388867E-02 24.7044296 0.136396363 +# Goodness of fit (reduced chi^2): 1.871 +# +# Limiting magnitude of the block +mag_lim= 24.67 +# +rates= 8.00 10.00 +function= square +square_param= 0.843950450 1.24595305E-02 24.6312561 0.145581514 +# Goodness of fit (reduced chi^2): 1.763 +# +# Limiting magnitude of the block +#mag_lim= 24.58 +mag_lim= 24.48 +# +rates= 10.00 12.00 +function= square +square_param= 0.812560320 1.14012510E-02 24.5263748 0.131260082 +# Goodness of fit (reduced chi^2): 2.618 +# +# Limiting magnitude of the block +#mag_lim= 24.47 +mag_lim= 24.37 +# +rates= 12.00 15.00 +function= square +square_param= 0.784676313 1.28535815E-02 24.3943558 0.145704076 +# Goodness of fit (reduced chi^2): 1.097 +# +# Limiting magnitude of the block +#mag_lim= 24.32 +mag_lim= 24.22 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/2015BD.eff b/src/ossssim/Characterizations/All_r_Surveys/2015BD.eff new file mode 100644 index 0000000..a420128 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/2015BD.eff @@ -0,0 +1,73 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.02 0.22 25.0 -0.02 24.5 -0.2 +# +phot_frac= 0.129 0.279 0.592 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.952559114 7.21653039E-03 25.2269707 0.151720747 +# Goodness of fit (reduced chi^2): 1.411 +# +# Limiting magnitude of the block +mag_lim= 25.23 +# +rates= 2.00 6.00 +function= square +square_param= 0.930487275 9.34686325E-03 25.1766472 0.171281680 +# Goodness of fit (reduced chi^2): 0.790 +# +# Limiting magnitude of the block +#mag_lim= 25.16 +mag_lim= 25.15 +# +rates= 6.00 8.00 +function= square +square_param= 0.909285843 1.10610612E-02 25.0602646 0.155915767 +# Goodness of fit (reduced chi^2): 1.511 +# +# Limiting magnitude of the block +mag_lim= 25.03 +# +rates= 8.00 10.00 +function= square +square_param= 0.889755666 1.15875900E-02 24.9648933 0.160667822 +# Goodness of fit (reduced chi^2): 1.838 +# +# Limiting magnitude of the block +#mag_lim= 24.92 +mag_lim= 24.82 +# +rates= 10.00 12.00 +function= square +square_param= 0.877756357 1.17960759E-02 24.8429909 0.153235033 +# Goodness of fit (reduced chi^2): 2.457 +# +# Limiting magnitude of the block +#mag_lim= 24.80 +mag_lim= 24.70 +# +rates= 12.00 15.00 +function= square +square_param= 0.852235436 1.44369807E-02 24.6762257 0.158442006 +# Goodness of fit (reduced chi^2): 1.905 +# +# Limiting magnitude of the block +#mag_lim= 24.61 +mag_lim= 24.51 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/2015BS.eff b/src/ossssim/Characterizations/All_r_Surveys/2015BS.eff new file mode 100644 index 0000000..4ecce61 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/2015BS.eff @@ -0,0 +1,73 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.06 0.088 23.65 -0.09 24.5 -0.16 +# +phot_frac= 0.176 0.162 0.662 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.959340930 6.62358711E-03 25.3835297 0.206354752 +# Goodness of fit (reduced chi^2): 1.842 +# +# Limiting magnitude of the block +mag_lim= 25.39 +# +rates= 2.00 6.00 +function= square +square_param= 0.935269296 7.23091885E-03 25.3351059 0.198516250 +# Goodness of fit (reduced chi^2): 0.994 +# +# Limiting magnitude of the block +#mag_lim= 25.33 +mag_lim= 25.15 +# +rates= 6.00 8.00 +function= square +square_param= 0.916525841 7.48339947E-03 25.2458649 0.186383575 +# Goodness of fit (reduced chi^2): 1.105 +# +# Limiting magnitude of the block +mag_lim= 25.23 +# +rates= 8.00 10.00 +function= square +square_param= 0.907858610 9.18652676E-03 25.1958694 0.181990102 +# Goodness of fit (reduced chi^2): 1.180 +# +# Limiting magnitude of the block +#mag_lim= 25.17 +mag_lim= 25.07 +# +rates= 10.00 12.00 +function= square +square_param= 0.896520257 9.09573119E-03 25.1039543 0.170556724 +# Goodness of fit (reduced chi^2): 1.060 +# +# Limiting magnitude of the block +#mag_lim= 25.07 +mag_lim= 24.97 +# +rates= 12.00 15.00 +function= square +square_param= 0.871073961 1.04473457E-02 24.9980659 0.169737995 +# Goodness of fit (reduced chi^2): 0.928 +# +# Limiting magnitude of the block +#mag_lim= 24.95 +mag_lim= 24.85 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/2015BT.eff b/src/ossssim/Characterizations/All_r_Surveys/2015BT.eff new file mode 100644 index 0000000..d59de0a --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/2015BT.eff @@ -0,0 +1,73 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.05 0.12 23.6 -0.1 24.5 -0.3 +# +phot_frac= 0.111 0.333 0.556 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.779432952 9.55713075E-03 25.0930557 0.154308304 +# Goodness of fit (reduced chi^2): 1.206 +# +# Limiting magnitude of the block +mag_lim= 25.00 +# +rates= 2.00 6.00 +function= square +square_param= 0.733703613 7.04801176E-03 25.0357132 0.176427126 +# Goodness of fit (reduced chi^2): 1.006 +# +# Limiting magnitude of the block +#mag_lim= 24.93 +mag_lim= 24.97 +# +rates= 6.00 8.00 +function= square +square_param= 0.704545498 7.21824309E-03 24.9767361 0.179162621 +# Goodness of fit (reduced chi^2): 0.794 +# +# Limiting magnitude of the block +mag_lim= 24.85 +# +rates= 8.00 10.00 +function= square +square_param= 0.682164788 6.79409411E-03 24.9148598 0.169436932 +# Goodness of fit (reduced chi^2): 1.131 +# +# Limiting magnitude of the block +#mag_lim= 24.78 +mag_lim= 24.68 +# +rates= 10.00 12.00 +function= square +square_param= 0.680245638 9.88271739E-03 24.8708954 0.168957204 +# Goodness of fit (reduced chi^2): 0.803 +# +# Limiting magnitude of the block +#mag_lim= 24.69 +mag_lim= 24.59 +# +rates= 12.00 15.00 +function= square +square_param= 0.654836535 9.64413211E-03 24.7750816 0.175563812 +# Goodness of fit (reduced chi^2): 1.331 +# +# Limiting magnitude of the block +#mag_lim= 24.57 +mag_lim= 24.47 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/All_r_Surveys_v11.CDS b/src/ossssim/Characterizations/All_r_Surveys/All_r_Surveys_v11.CDS new file mode 100644 index 0000000..7a5de33 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/All_r_Surveys_v11.CDS @@ -0,0 +1,1057 @@ +Title: The Outer Solar System Origins Survey: +Authors: Bannister M.T., Kavelaars J.J., Petit J.-M., Gladman B.J., Gwyn S.D.J., +Table: Orbit and discovery properties of the characterized OSSOS objects +================================================================================ +Byte-by-byte Description of file: All_r_Surveys_v11.CDS +-------------------------------------------------------------------------------- + Bytes Format Units Label Explanation (with possible notes) +-------------------------------------------------------------------------------- + 1- 3 A3 --- cl Orbital population/class (1) + 5- 5 A1 --- p Possibly additional information based on + class + IF cl=cent OR sca OR det: + no information ('x') + IF cl=res: + U or N indicating MMR planet (2) + IF cl=cla, portion of classical belt is + indicated as: + i : inner (a < a_(3:2 resonance) ) + m : inner (a_(3:2 resonance) < a + < a_(2:1 resonance) ) + o : outer (a < a_(2:1 resonance) ) + and not detached + 7- 9 I3 --- j Resonant object is in the j : k resonance + (-1 is null) + 11- 13 I3 --- k Resonant object is in the j : k resonance + (-1 is null) + 15- 16 A2 --- sh [ISH] Orbit classification status (3) + 18- 27 A10 --- object Object identifier/designation (4) + See ossos-survey.org/tnodb for a + correspondence list to MPC + 29- 33 F5.2 mag mag Cleaned mean magnitude DURING DISCOVERY + Cleaned = flagged photometry not part of + average + 35- 39 F5.3 mag e_mag Uncertainty in magnitude + (applies to Hsur also) + 41- 41 A1 --- Filt Filter used in discovery observation + 43- 47 F5.2 mag Hsur Surmised Absolute magnitude H, in + discovery filter + 49- 55 F7.3 AU dist Object distance at discovery (5) + 57- 63 F7.3 AU e_dist Uncertainty in dist (6) + 65- 68 I4 --- Nobs Number of observations available + 70- 78 F9.4 years time Length of measured orbital arc + (last-first observation) + 80- 85 F6.3 arcsec av-xres Mean orbit-fit residual, RA + 87- 92 F6.3 arcsec av-yres Mean orbit-fit residual, DEC + 94- 99 F6.3 arcsec max-x Maximum orbit-fit residual, RA + 101-106 F6.3 arcsec max-y Maximum orbit-fit residual, DEC + 108-118 F11.6 AU a Semimajor axis (5) + 120-129 F10.4 AU e_a Uncertainty in a (6) + 131-139 F9.6 --- e Orbital eccentricity (5) + 141-149 F9.6 --- e_e Uncertainty in e (6) + 151-157 F7.3 deg i Inclination to the ecliptic (5) + 159-165 F7.3 deg e_i Uncertainty in i (6) + 167-174 F8.3 deg Omega Longitude of ascending node + 176-182 F7.3 deg e_Omega Uncertainty in Omega + 184-191 F8.3 deg omega Argument of perihelion + 193-201 F9.3 deg e_omega Uncertainty in omega + 203-212 F10.3 d tperi Modified Julian Date of osculating + perihelion passage + 214-223 F10.3 d e_tperi Uncertainty in tperi + 225-231 F7.3 deg RAdeg Right ascension (J2000) at mean equinox of + discovery + 233-239 F7.3 deg DEdeg Declination (J2000) at mean equinox of + discovery + 241-253 F13.5 d JD Central Julian Date of of first discovery + image + 255-259 F5.2 arcsec/h rate Angular rate of sky motion at discovery + 261-267 A7 --- MPC Compact MPC designation +-------------------------------------------------------------------------------- +Note (1): Orbital population/Dynamical class, based on scheme from + Gladman et al. (2008), "Solar System beyond Neptune" + cen = centaur + sca = scattering disk object + cla = classical belt + res = in mean-motion resonance + det = detached object ( a>a_(2:1) and e>0.24 and non-resonant and + non-scattering ) + jco = Jupiter Coupled +Note (2): Mean-motion resonance occupancy is checked for planets [U]ranus and + [N]eptune. +Note (3): Orbit classification status: + First character: + I = the orbit classification is currently insecure; + or + S = the orbit classification is secure. + Optional second character + H = human operator intervened and set the given orbit security status +Note (4): Survey designations here based on their OSSOS discovery, with a format + "o" for OSSOS, the last digit of the year in which the object was discovered + by OSSOS (3-6), the block ID letter (e,o) and the sequential number to give + unique identifiers, "PD" indicates previous discovery. + Object beginning "KO2" are Presurvey objects (Jones et al 2006, Icarus) + Object beginning "L" are CFEPS objects (Petit et al 2011, AJ)) + Object beginning "HL" are Hilat Survey objects (Petit et al 2016, AJ)) + Object beginning "ma" are from the PhD thesis of (Alexandersen et al + 2016, AJ)) +Note (5): J2000 ecliptic barycentric coordinates. +Note (6): Uncertainties from the covariance matrix of the orbital parameter + confidence regions as determined by the method described in + Bernstein and Khushalani (2000). +-------------------------------------------------------------------------------- +sca x -1 -1 S o3e01 21.50 0.087 r 7.73 23.291 0.000 120 15.1322 0.083 0.073 0.311 0.343 34.419111 0.0012 0.589613 0.000009 7.711 0.000 32.982 0.000 275.186 0.002 62220.913 0.038 213.148 -13.587 2456386.92978 4.87 K02GG6G +res N 3 2 S o3e02 23.34 0.140 r 8.32 31.080 0.001 32 3.2522 0.047 0.052 0.187 0.134 39.440179 0.0041 0.228123 0.000131 13.468 0.000 35.741 0.000 152.551 0.047 52153.805 6.812 213.839 -13.500 2456386.94170 3.73 K13GD7H +res N 3 2 S o3e03 23.72 0.109 r 8.70 31.131 0.000 29 4.1449 0.092 0.052 0.195 0.207 39.334897 0.0052 0.256758 0.000153 3.866 0.000 31.386 0.001 136.792 0.022 49608.799 2.481 211.891 -13.064 2456386.91785 3.68 K13GD7E +res N 3 2 S o3e04 23.39 0.163 r 8.25 32.136 0.000 29 3.1756 0.059 0.050 0.253 0.320 39.495980 0.0043 0.266711 0.000188 16.873 0.000 42.491 0.000 230.926 0.036 65131.641 3.559 214.699 -11.658 2456391.88210 3.72 K13GD7J +res N 2 1 S o3e05 22.69 0.066 r 7.42 33.001 0.001 31 2.1187 0.044 0.047 0.139 0.093 47.744356 0.0099 0.344105 0.000246 6.660 0.001 219.318 0.000 35.600 0.060 62234.242 8.108 216.271 -14.536 2456391.88613 3.40 K13GD6W +res N 3 2 S o3e06 24.03 0.309 r 8.59 34.357 0.001 36 2.0422 0.110 0.103 0.432 0.463 39.258556 0.0083 0.199499 0.000505 10.440 0.001 44.493 0.000 235.115 0.091 66946.358 10.054 217.397 -13.633 2456391.90177 3.27 K13GD7L +res N 3 2 S o3e07 24.06 0.162 r 8.52 35.160 0.001 25 1.3764 0.097 0.102 0.425 0.453 39.333143 0.0184 0.135343 0.001629 2.392 0.001 96.067 0.023 74.042 0.699 47992.924 118.516 212.643 -10.849 2456386.93770 3.51 K13GD7G +res N 3 2 S o3e08 24.02 0.130 r 8.45 35.413 0.001 34 4.2867 0.069 0.071 0.235 0.230 39.371591 0.0028 0.103683 0.000078 6.942 0.000 204.436 0.000 352.259 0.091 53206.618 18.199 210.956 -11.526 2456386.90980 3.41 K13GD7D +res N 5 2 S o3e09 22.94 0.051 r 7.32 35.765 0.001 38 2.1189 0.059 0.058 0.268 0.329 55.536335 0.0202 0.414113 0.000368 10.877 0.001 221.020 0.000 43.984 0.055 64191.070 6.648 216.853 -15.028 2456391.89790 3.24 K13GD6Y +cla i -1 -1 S o3e10 23.73 0.187 r 8.00 36.716 0.001 31 2.1218 0.089 0.088 0.294 0.433 38.768244 0.0054 0.060387 0.000503 24.276 0.001 39.138 0.000 148.820 0.691 49757.641 146.549 216.728 -14.223 2456391.89790 3.36 K13GD6O +sca x -1 -1 S o3e11 23.60 0.098 r 7.86 36.851 0.001 33 4.1367 0.083 0.166 0.160 0.253 86.736041 0.0210 0.609305 0.000107 18.362 0.000 213.926 0.000 36.549 0.014 62736.013 1.897 210.617 -12.965 2456386.90583 3.23 K13GD6Z +res N 3 2 S o3e12 23.90 0.134 r 8.11 37.246 0.001 37 1.9632 0.101 0.109 0.320 0.349 39.556783 0.0107 0.156869 0.000795 14.679 0.001 35.789 0.000 101.826 0.063 41302.829 3.468 212.805 -12.830 2456386.92978 3.18 K13GD7F +res N 16 9 IH o3e13 23.72 0.113 r 7.86 37.877 0.001 34 4.2869 0.114 0.162 0.220 0.378 44.118257 0.0041 0.167468 0.000149 8.318 0.000 49.169 0.001 125.890 0.055 48297.846 10.310 212.216 -10.496 2456386.92583 3.12 K13GD6U +cla m -1 -1 S o3e15 23.86 0.150 r 7.87 39.055 0.001 27 1.8894 0.105 0.097 0.245 0.263 43.932301 0.0050 0.113549 0.000268 5.420 0.001 57.011 0.004 146.669 0.485 53218.946 112.418 216.041 -12.328 2456391.89399 3.18 K13GD8D +cla m -1 -1 S o3e16 23.47 0.142 r 7.44 39.491 0.001 27 2.1218 0.057 0.064 0.238 0.142 43.865613 0.0052 0.099767 0.000084 2.595 0.000 95.871 0.018 120.985 0.660 56797.205 157.995 214.076 -11.197 2456391.87047 3.08 K13GD7S +cla m -1 -1 IH o3e17 24.00 0.140 r 7.85 40.609 0.001 34 4.2242 0.114 0.078 0.336 0.277 41.097734 0.0032 0.034898 0.000250 7.451 0.000 216.046 0.000 288.779 0.114 38169.437 24.570 214.917 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353.443 0.004 218.758 0.824 12311.498 240.257 8.976 4.978 2457273.90498 2.52 K15RR9Z +cla m -1 -1 I o5t45 24.77 0.177 r 7.98 46.908 0.001 53 2.4441 0.106 0.091 0.471 0.354 44.106759 0.0029 0.064040 0.000237 0.156 0.001 9.007 0.015 169.847 1.534 108397.523 454.850 5.725 2.467 2457273.87633 2.55 K15RR9M +res N 3 2 S o5t46 24.13 0.110 r 7.33 47.056 0.002 47 2.5017 0.062 0.055 0.249 0.206 39.385171 0.0184 0.241353 0.000918 8.001 0.001 8.335 0.000 206.048 0.407 23282.372 104.941 5.820 2.112 2457273.87633 2.67 K15RR7R +res N 2 1 S o5t47 24.37 0.245 r 7.49 47.811 0.002 24 2.1929 0.067 0.062 0.164 0.223 47.642393 0.0293 0.206288 0.001456 0.073 0.001 72.562 0.947 38.225 0.951 83669.357 53.244 7.738 3.268 2457273.89268 2.44 K15RR7X +res N 5 3 S o5t48 24.59 0.525 r 7.63 48.741 0.002 31 2.5018 0.058 0.085 0.134 0.215 42.182535 0.0032 0.156181 0.000110 5.209 0.001 358.367 0.002 193.456 0.541 9031.891 148.395 6.618 3.741 2457273.88855 2.48 K15RR8J +cla m -1 -1 S o5t49 24.34 0.095 r 7.34 49.086 0.002 34 2.5016 0.064 0.055 0.174 0.146 44.850951 0.0034 0.095994 0.000195 1.968 0.001 353.231 0.009 205.988 0.763 5916.475 231.510 9.220 4.595 2457273.90906 2.43 K15RS0A +sca x -1 -1 I o5t50 24.32 0.130 r 7.12 51.422 0.002 35 2.2503 0.095 0.084 0.541 0.358 59.872018 0.1850 0.688095 0.001195 30.267 0.002 189.651 0.000 304.002 0.064 75863.668 27.419 9.083 4.037 2457273.90090 2.38 K15RR9A +det x -1 -1 IH o5t51 23.81 0.064 r 6.58 51.825 0.002 37 2.5016 0.053 0.038 0.184 0.128 59.830006 0.0944 0.424769 0.001520 13.851 0.001 9.393 0.000 263.196 0.030 34495.968 37.390 9.447 4.197 2457273.90906 2.29 K15RR9G +sca x -1 -1 I o5t52 24.13 0.118 r 6.10 62.394 0.002 37 2.5016 0.067 0.052 0.186 0.263 426.017995 9.4058 0.893106 0.002502 12.138 0.001 8.605 0.000 65.139 0.079 75605.858 7.811 8.613 3.817 2457273.90090 1.88 K15RO5X +res N 5 2 I o5t53 24.97 0.183 r 6.89 63.280 0.003 31 2.4170 0.135 0.105 0.299 0.369 55.483721 0.0984 0.385306 0.001970 5.038 0.002 191.137 0.002 305.810 0.250 95335.611 165.180 5.484 2.887 2457273.87633 1.98 K15RR8H +res N 3 1 I o5t54 24.94 0.182 r 6.58 67.478 0.003 27 2.5017 0.095 0.110 0.437 0.457 62.239671 0.1984 0.444722 0.002837 5.827 0.002 194.181 0.003 45.776 0.272 19491.230 289.950 5.248 3.214 2457273.88042 1.84 K15RR7Z +cla m -1 -1 S o5t58 24.63 0.130 r 7.80 47.109 0.002 24 1.4748 0.073 0.102 0.240 0.321 45.404657 0.0146 0.062657 0.002276 23.820 0.002 7.868 0.000 233.651 1.781 18832.640 559.019 9.949 5.746 2457274.01862 2.44 K15RS0K +res N 3 2 S L3h01 23.12 0.112 r 7.81 33.324 0.001 21 2.2715 0.232 0.633 0.495 1.176 39.492378 0.0060 0.157495 0.000095 9.114 0.001 197.976 0.000 7.021 0.286 54322.837 51.660 194.416 -6.450 2452755.82408 3.62 K04FG4W +cla m -1 -1 S L3h04 23.59 0.183 r 6.94 45.469 0.002 22 4.0546 0.317 0.218 0.863 0.512 47.196094 0.0088 0.223870 0.000378 29.525 0.001 197.544 0.000 265.169 0.023 30420.334 10.879 194.534 -6.883 2452755.82408 2.87 K03H56X +cla m -1 -1 S L3h05 23.30 0.134 r 6.95 42.450 0.002 16 2.2091 0.183 0.261 0.563 0.651 42.603511 0.0076 0.036813 0.005146 2.578 0.001 35.620 0.009 247.517 0.966 75954.552 113.600 195.268 -5.585 2452755.82670 2.99 K03H56Y +sca x -1 -1 I L3h08 23.59 0.177 r 7.66 38.445 0.001 22 5.1218 0.128 0.239 0.248 0.360 159.681973 0.1233 0.761413 0.000176 15.500 0.000 197.871 0.000 10.841 0.013 54874.804 2.236 195.127 -6.718 2452755.83459 3.02 K03H57B +cla m -1 -1 S L3h09 22.12 0.048 r 5.67 43.430 0.002 20 2.2113 0.149 0.166 0.461 0.551 44.046269 0.0248 0.071521 0.004999 1.038 0.001 234.051 0.041 46.116 0.673 74897.734 49.883 195.390 -7.250 2452755.83459 2.82 K03H57C +xxx x -1 -1 x L3h10nt 22.84 0.085 r 7.80 31.300 0.678 7 0.0932 0.059 0.065 0.125 0.146 32.233582 17.1309 0.731564 0.199416 14.580 1.961 15.128 0.293 46.809 12.642 44247.934 2377.119 195.168 -7.106 2452755.83459 4.11 K03H57M +res N 3 2 S L3h11 23.16 0.128 r 7.94 32.701 0.001 15 2.2091 0.257 0.468 0.829 1.223 39.399366 0.0060 0.171023 0.000096 27.626 0.001 199.712 0.000 5.173 0.380 54049.542 66.441 195.423 -7.726 2452755.83196 3.85 K03H57A +cla m -1 -1 S L3h13 23.05 0.110 r 6.93 40.229 0.002 14 2.2010 0.125 0.210 0.316 0.618 44.038284 0.0240 0.087995 0.001303 1.436 0.001 39.091 0.020 146.335 3.129 49886.440 771.389 195.452 -5.990 2452755.86103 2.90 K03H57H +res N 3 2 S L3h14 22.98 0.096 r 7.73 32.896 0.001 15 2.2091 0.179 0.177 0.286 0.344 39.446413 0.0278 0.179332 0.001229 5.621 0.001 34.377 0.002 136.528 0.602 48156.404 99.427 196.193 -5.064 2452755.83724 3.56 K03H57D +xxx x -1 -1 x L3h15nt 23.53 0.170 r 7.18 42.466 1.167 7 0.0932 0.035 0.117 0.078 0.289 43.543254 22.6625 0.359925 0.592358 2.283 0.375 34.054 2.705 271.363 44.689 71833.329 15937.845 196.502 -6.324 2452755.84521 2.90 K03H57N +xxx x -1 -1 x L3h16nt 23.51 0.183 r 7.03 43.802 1.361 7 0.0933 0.121 0.190 0.201 0.499 44.939624 23.5191 0.745922 0.204180 6.845 1.791 27.397 2.363 34.162 14.304 38905.682 3797.288 197.149 -6.115 2452755.84782 3.14 K03H57O +cla m -1 -1 S L3h18 22.46 0.070 r 6.06 42.976 0.001 20 4.0548 0.154 0.238 0.360 0.618 43.612247 0.0053 0.032259 0.000304 2.098 0.000 36.306 0.004 227.668 0.299 70706.911 76.890 197.592 -6.783 2452755.85572 2.88 K03H57G +res N 3 2 S L3h19 23.30 0.138 r 8.13 32.364 0.002 19 5.0263 0.043 0.153 0.132 0.164 39.352922 0.0093 0.193231 0.000136 1.422 0.000 48.135 0.004 123.039 0.039 48039.949 6.206 197.510 -6.665 2452755.85572 3.67 K03H57F +cla m -1 -1 IH L3h20 23.06 0.123 r 6.97 40.006 0.002 13 2.2063 0.094 0.187 0.178 0.389 44.172946 0.0364 0.099792 0.002081 8.863 0.001 9.996 0.002 168.644 2.493 47640.750 595.397 197.062 -8.890 2452755.85049 2.97 K03H57E +cla m -1 -1 S HL6r1 22.97 0.067 r 6.79 40.771 0.002 20 2.8501 0.097 0.110 0.403 0.358 40.385613 0.0077 0.038584 0.000446 21.057 0.001 211.259 0.002 23.279 0.271 27410.864 74.848 337.687 8.367 2453996.92750 3.21 K07RV4L +det x -1 -1 I HL6r2 23.60 0.058 r 7.71 38.188 0.001 26 7.0497 0.140 0.459 0.417 0.796 49.758679 0.0088 0.253884 0.000107 25.048 0.000 310.362 0.000 68.700 0.020 60340.168 4.033 340.771 8.761 2453996.92563 3.18 K06Sf5H +res N 2 1 SH HL6r3 23.27 0.033 r 7.75 35.007 0.001 30 7.0498 0.150 0.235 0.430 0.524 47.931346 0.0064 0.291508 0.000073 31.376 0.000 186.954 0.000 183.080 0.014 59375.076 2.473 339.270 6.329 2453996.90385 3.72 K06Sf5G +det x -1 -1 I HL6r4 22.70 0.173 r 6.33 42.622 0.001 33 7.0389 0.140 0.212 0.328 1.199 70.813767 0.0216 0.484623 0.000155 20.884 0.000 209.422 0.000 75.833 0.009 42557.035 1.431 338.169 7.846 2453996.90574 2.91 K07RV4M +cla m -1 -1 S HL6r5 23.73 0.120 r 7.40 42.266 0.002 17 1.9518 0.148 0.247 0.595 0.424 42.599421 0.0083 0.027342 0.001135 18.517 0.001 208.990 0.003 58.999 0.754 33729.986 175.922 340.182 6.265 2453996.90994 3.02 K06Sf5E +cla m -1 -1 S HL6r6 23.87 0.088 r 7.70 40.713 0.003 16 1.9518 0.080 0.182 0.218 0.310 43.197883 0.0150 0.077006 0.000964 15.712 0.000 269.148 0.005 121.140 0.649 65149.510 150.287 339.971 8.449 2453996.91929 3.06 K06Sf5F +res N 5 1 I HL7c1 23.20 0.058 r 7.17 39.100 0.001 41 6.0402 0.387 0.164 0.496 0.426 87.493815 0.0344 0.618771 0.000160 23.237 0.000 102.286 0.001 9.961 0.005 45267.518 0.478 171.828 26.332 2454180.87722 2.87 K07F51N +cla m -1 -1 S HL7c2 23.00 0.153 r 6.59 42.557 0.001 26 8.0053 0.178 0.126 0.624 0.451 45.547957 0.0086 0.160926 0.000202 29.222 0.000 106.633 0.001 342.223 0.025 36258.601 7.513 171.427 30.686 2454180.90321 2.84 K07F51M +det x -1 -1 IH HL7c3 22.87 0.186 r 6.99 37.562 0.001 24 8.0053 0.355 0.356 0.770 0.763 50.403067 0.0077 0.287912 0.000057 27.945 0.000 43.225 0.000 150.465 0.032 61465.070 5.870 171.843 32.041 2454180.90836 3.39 K07F51O +det x -1 -1 S HL7j1 23.07 0.186 r 7.03 38.848 0.001 23 7.7790 0.094 0.121 0.351 0.402 72.361527 0.0225 0.469690 0.000149 31.540 0.000 137.807 0.000 117.995 0.013 57447.709 2.622 245.439 10.467 2454263.81694 2.97 K07L38J +sca x -1 -1 S HL7j2 23.37 0.033 r 7.50 37.377 0.001 44 8.9070 0.082 0.217 0.591 0.752 133.932936 0.0380 0.725235 0.000074 34.197 0.000 122.926 0.000 130.152 0.004 56974.507 0.602 245.362 10.487 2454263.81694 3.12 K07L38H +res N 5 2 S HL7j3 22.93 0.088 r 7.68 32.219 0.001 34 7.7791 0.126 0.225 0.415 0.614 55.452064 0.0089 0.434019 0.000086 32.579 0.000 139.630 0.000 75.869 0.005 50647.250 0.721 244.922 12.074 2454263.81068 3.71 K07L38G +res N 5 1 I HL7j4 22.53 0.088 r 5.54 48.432 0.001 54 6.0689 0.168 0.104 0.551 0.349 87.569525 0.0275 0.555223 0.000171 35.825 0.000 169.294 0.001 12.737 0.007 39707.498 0.918 246.382 14.100 2454263.82707 2.47 K07L38F +cla o -1 -1 S HL7j5 23.27 0.067 r 6.93 41.799 0.001 24 7.7790 0.265 0.190 0.875 0.494 54.049813 0.0097 0.226754 0.000118 35.966 0.000 193.529 0.001 53.665 0.037 53729.730 9.019 246.549 8.453 2454263.83334 2.91 K07L38E +res N 22 15 I HL7p1 23.20 0.115 r 7.30 37.952 0.001 32 6.0727 0.192 0.335 0.692 0.537 38.817011 0.0032 0.067756 0.000086 25.479 0.000 232.249 0.001 180.436 0.066 70812.984 12.753 331.697 15.292 2454349.80821 3.42 K07RW6Y +res N 17 9 I HL7p2 23.70 0.100 r 8.16 35.127 0.002 17 1.7909 0.083 0.163 0.216 0.535 45.922682 0.0132 0.235493 0.000157 20.500 0.000 264.306 0.003 72.051 0.233 53533.533 43.888 333.496 11.026 2454349.80317 3.43 K07RW6W +cla m -1 -1 S HL7p3 23.30 0.300 r 7.25 39.343 0.001 22 1.7934 0.116 0.168 0.317 0.859 46.096206 0.0074 0.156517 0.000328 25.029 0.000 264.444 0.003 52.385 0.248 48812.282 54.881 331.534 15.030 2454349.80821 3.29 K07RW6X +sca x -1 -1 S HL8a1 22.93 0.233 r 6.29 44.517 0.001 24 7.2032 0.123 0.199 0.595 0.538 32.392864 0.0023 0.374396 0.000085 42.826 0.000 50.544 0.001 253.120 0.043 87750.764 7.420 138.145 60.228 2454473.86123 3.02 K08AD8U +det x -1 -1 S HL8k1 24.57 0.120 r 7.91 44.453 0.001 35 5.1773 0.120 0.242 0.383 0.512 87.348572 0.0203 0.543117 0.000137 48.815 0.000 153.059 0.000 146.559 0.020 64524.370 3.215 263.826 25.038 2454597.98591 2.65 K08J41O +sca x -1 -1 S HL8n1 23.73 0.033 r 8.52 31.849 0.000 48 5.3495 0.108 0.217 0.399 0.510 41.531221 0.0041 0.491379 0.000069 103.447 0.000 260.968 0.000 133.097 0.004 64629.370 0.435 253.643 19.381 2454617.85234 5.12 K08K42V +sca x -1 -1 I HL9m1 21.13 0.088 r 9.57 12.872 0.000 71 4.0303 0.171 0.169 0.278 0.314 348.905416 0.1571 0.968470 0.000014 68.016 0.000 220.228 0.000 128.662 0.000 56335.536 0.011 283.374 48.929 2455007.97918 8.44 K09M09S +cen x -1 -1 I mah01 24.20 0.000 r 10.61 22.432 0.001 19 1.0429 0.084 0.107 0.359 0.288 30.072429 0.0028 0.259122 0.000159 53.886 0.001 20.010 0.001 34.380 0.195 57566.284 18.396 23.809 28.215 2456220.86078 6.11 K12UH7W +res N 1 1 S mah02 23.67 0.067 r 8.89 29.578 0.001 30 1.4614 0.085 0.070 0.231 0.201 30.023515 0.0044 0.072277 0.000854 20.833 0.000 265.668 0.002 204.284 0.104 68166.873 4.907 23.280 28.683 2456220.85652 4.27 K12UH7V +res N 3 2 S mah03 24.37 0.033 r 9.45 30.482 0.002 18 1.2344 0.036 0.055 0.173 0.172 39.303880 0.0103 0.224762 0.000267 21.876 0.001 261.872 0.002 130.578 0.705 56470.979 108.594 24.230 28.805 2456220.86936 4.11 K12UH7G +res N 5 2 I mah04 24.10 0.058 r 8.62 34.429 0.001 25 1.4585 0.062 0.082 0.190 0.299 55.196603 0.0740 0.433338 0.001267 15.632 0.000 298.867 0.003 46.945 0.159 48559.586 16.450 25.969 27.937 2456221.89663 3.61 K12UH7J +res N 11 7 I mah05 22.90 0.000 r 7.22 36.474 0.001 30 1.4643 0.074 0.069 0.185 0.232 40.666012 0.0087 0.116618 0.000780 19.236 0.000 272.168 0.003 147.620 0.643 62316.150 128.432 23.213 28.344 2456220.86078 3.50 K12UH7L +det x -1 -1 IH mah06 24.20 0.100 r 8.48 36.605 0.002 25 1.4665 0.071 0.082 0.207 0.197 56.088975 0.0494 0.366517 0.001076 17.214 0.001 271.782 0.003 92.511 0.325 50735.469 55.269 26.969 27.174 2456221.91369 3.43 K12UH7S +cla m -1 -1 S mah07 22.95 0.050 r 7.25 36.611 0.002 29 1.4667 0.094 0.063 0.279 0.204 43.181427 0.0097 0.158914 0.000614 20.094 0.001 341.291 0.002 71.189 0.652 59873.200 132.287 24.766 28.006 2456220.87365 3.51 K12UH7N +det x -1 -1 I mah08 24.05 0.050 r 8.35 36.784 0.001 25 1.4560 0.086 0.063 0.235 0.156 92.321941 0.1656 0.617263 0.000887 24.852 0.001 251.482 0.002 162.468 0.172 60322.956 26.524 24.334 27.989 2456220.87365 3.41 K12UH7K +res N 17 10 I mah09 24.03 0.088 r 7.94 39.922 0.002 27 1.4585 0.057 0.084 0.245 0.210 42.823392 0.0143 0.098642 0.001688 16.601 0.001 280.170 0.004 59.871 0.781 43723.386 160.589 25.444 27.402 2456221.90089 3.20 K12UH7P +det x -1 -1 I mah10 23.83 0.033 r 7.74 40.257 0.002 26 1.4560 0.088 0.079 0.256 0.177 51.970057 0.0731 0.312457 0.002009 19.603 0.001 330.160 0.003 120.092 0.237 67748.156 25.547 23.463 29.111 2456220.85652 3.23 K12UH7Q +xxx x -1 -1 x mah11nt 24.17 0.088 r 8.27 38.339 4.146 3 0.0002 0.035 0.081 0.052 0.121 39.292151 20.5413 0.024508 0.573417 14.614 3.683 315.660 80.083 87.978 1383.856 58192.717 328501.024 27.428 27.082 2456221.91369 3.29 ------- +cla m -1 -1 S mah12 24.57 0.167 r 8.30 41.687 0.002 19 1.4586 0.077 0.119 0.176 0.288 43.548763 0.0112 0.058274 0.002153 16.177 0.000 287.738 0.006 56.905 2.053 43990.595 504.822 23.641 27.176 2456220.86510 3.23 K12UH7M +cla m -1 -1 IH mah13 24.45 0.150 r 8.11 42.380 0.002 25 1.4560 0.084 0.064 0.255 0.241 41.562084 0.0051 0.035094 0.002027 16.446 0.000 289.959 0.006 336.026 2.382 22542.167 649.401 25.432 28.128 2456221.89663 3.07 K12UH7O +res N 23 6 IH mah14 24.23 0.088 r 7.73 44.388 0.003 26 1.4560 0.072 0.101 0.211 0.230 73.787390 0.3243 0.491581 0.003349 16.353 0.000 291.500 0.006 158.157 0.249 68245.377 18.528 25.403 28.108 2456221.89663 2.90 K12UH7R +res N 3 2 S mah15 24.20 0.200 r 7.55 45.464 0.002 27 1.4559 0.087 0.076 0.204 0.213 39.392371 0.0177 0.190726 0.001195 23.749 0.001 255.149 0.003 346.198 0.626 21340.843 160.100 26.817 28.406 2456221.90942 2.83 K12UH7H +cen x -1 -1 S mal01 22.57 0.033 r 9.56 20.296 0.000 33 1.4722 0.056 0.056 0.137 0.174 19.091885 0.0028 0.176854 0.000395 10.811 0.000 222.498 0.000 287.469 0.068 64381.360 6.862 27.666 13.909 2455858.91192 6.27 K11Q99F +res N 3 2 S mal02 22.30 0.000 r 7.72 28.724 0.000 43 2.0894 0.059 0.085 0.205 0.286 39.270353 0.0035 0.271787 0.000086 4.652 0.000 289.175 0.005 88.353 0.058 54193.649 7.782 25.741 15.740 2455860.78698 4.36 K11Uf1C +res N 3 2 S mal03 24.43 0.088 r 9.83 28.997 0.001 19 2.0893 0.147 0.086 0.344 0.192 39.292648 0.0040 0.262943 0.000069 12.623 0.001 19.330 0.001 15.395 0.084 56688.516 11.806 25.729 12.950 2455858.92047 4.28 K11Uf0U +res N 3 2 S mal04 23.73 0.088 r 9.00 29.828 0.001 29 2.1003 0.104 0.085 0.350 0.173 39.222939 0.0036 0.244589 0.000089 8.645 0.000 237.962 0.002 167.515 0.093 58007.263 13.493 27.509 15.660 2455860.77825 4.19 K11Uf1A +res N 3 2 S mal05 22.50 0.000 r 7.76 29.862 0.001 26 2.1766 0.068 0.092 0.174 0.201 39.420581 0.0069 0.259110 0.000251 4.308 0.000 332.153 0.006 30.141 0.090 51936.278 11.981 25.833 14.710 2455858.92476 4.16 K11Uf0V +res N 3 2 S mal06 24.43 0.033 r 9.58 30.875 0.001 21 2.2693 0.081 0.078 0.193 0.251 39.412004 0.0086 0.268526 0.000376 17.320 0.001 27.050 0.000 50.367 0.086 62610.166 9.943 28.399 12.997 2455858.90763 4.10 K11Uf0R +res N 3 2 S mal07 24.23 0.088 r 9.35 30.974 0.001 26 2.0071 0.090 0.109 0.277 0.227 39.399608 0.0077 0.263650 0.000311 3.246 0.001 10.821 0.004 335.396 0.060 49041.457 6.638 29.834 13.487 2455858.90337 4.05 K11Uf0Q +res N 3 1 S mal08 24.03 0.067 r 9.10 31.226 0.002 21 1.4308 0.082 0.118 0.235 0.323 62.430542 0.0106 0.499834 0.000083 22.040 0.001 24.813 0.000 9.439 0.276 55818.951 39.895 30.317 16.341 2455860.81804 4.12 K11Uf1S +res N 4 3 S mal09 24.03 0.067 r 9.05 31.606 0.001 24 1.4422 0.111 0.100 0.236 0.245 36.433437 0.0029 0.132951 0.000118 6.812 0.001 9.788 0.003 27.400 0.661 56710.041 111.729 28.930 14.694 2455858.93755 4.11 K11Uf2Z +res N 4 3 S mal10 23.30 0.000 r 8.27 31.794 0.003 19 1.2866 0.076 0.047 0.235 0.114 36.527842 0.0090 0.132867 0.001034 5.437 0.000 292.353 0.013 83.477 1.690 53378.397 283.658 26.243 16.801 2455860.79124 4.01 K11Uf3A +xxx x -1 -1 x mal11nt 24.53 0.088 r 9.39 32.811 0.532 11 0.0986 0.072 0.119 0.216 0.319 38.689001 9.7015 0.162268 0.453720 23.421 2.019 25.504 0.674 31.713 247.617 60080.438 41346.486 29.183 15.247 2455860.77399 4.02 K11Uf2U +res N 3 2 S mal12 23.40 0.058 r 8.21 33.293 0.001 32 2.2503 0.069 0.106 0.200 0.215 39.602513 0.0044 0.174956 0.000295 2.733 0.001 241.740 0.006 179.170 0.200 60931.339 33.635 29.633 13.577 2455858.90337 3.86 K11Uf0P +res N 5 3 S mal13 24.20 0.115 r 8.98 33.447 0.002 23 1.4395 0.120 0.094 0.332 0.256 42.340597 0.0069 0.210384 0.000257 3.234 0.000 326.453 0.017 60.998 0.685 55089.831 121.538 28.472 14.910 2455860.77399 3.74 K11Uf1N +res N 5 3 S mal14 23.80 0.058 r 8.50 33.891 0.001 26 1.4395 0.044 0.088 0.140 0.237 42.281965 0.0113 0.206050 0.000596 5.289 0.000 310.100 0.010 98.933 0.518 59267.158 91.169 26.011 16.512 2455860.79124 3.72 K11Uf1O +res N 5 3 S mal15 21.93 0.033 r 6.65 33.939 0.001 27 1.4724 0.073 0.084 0.238 0.258 42.316514 0.0229 0.232786 0.001079 13.424 0.001 219.278 0.001 210.287 0.335 62702.039 50.553 27.593 13.656 2455858.91192 3.74 K10TI2O +res N 3 2 S mal16 24.40 0.058 r 9.09 34.137 0.002 24 1.4313 0.079 0.095 0.210 0.185 39.312316 0.0077 0.136442 0.000669 8.590 0.001 12.404 0.002 2.932 0.844 52510.286 156.619 29.564 15.392 2455860.76973 3.70 K11Uf0Y +res N 3 2 S mal17 23.70 0.058 r 8.26 35.150 0.001 30 4.1122 0.055 0.072 0.158 0.147 39.514146 0.0063 0.255656 0.000193 11.876 0.000 20.577 0.000 290.401 0.011 42909.427 2.622 26.816 13.150 2455858.91621 3.66 K11Uf0S +res N 19 10 I mal18 24.20 0.058 r 8.71 35.636 0.002 18 1.4504 0.079 0.084 0.273 0.217 46.139736 0.0198 0.238570 0.000852 27.041 0.001 214.057 0.000 198.344 0.547 60032.777 101.001 28.279 13.332 2455858.91192 3.62 K11Uf1H +res N 10 3 I mal19 23.03 0.033 r 7.50 35.912 0.001 22 1.4311 0.058 0.066 0.158 0.177 67.321317 0.0771 0.482854 0.000905 16.712 0.001 219.944 0.000 197.547 0.245 60171.077 39.303 30.192 14.549 2455858.94181 3.53 K11Uf2Q +det x -1 -1 I mal20 24.17 0.145 r 8.59 36.158 0.002 20 1.4395 0.076 0.085 0.150 0.202 50.074947 0.0560 0.314096 0.001632 17.873 0.001 15.280 0.001 54.225 0.410 62768.737 64.217 27.182 16.776 2455860.80517 3.56 K11Uf2R +res N 3 2 S mal21 23.70 0.000 r 8.13 36.258 0.001 28 2.1738 0.076 0.108 0.249 0.341 39.404540 0.0192 0.327945 0.000672 17.479 0.001 223.962 0.000 263.515 0.011 70270.678 9.919 29.530 15.825 2455860.76973 3.59 K11Uf0X +res N 2 1 S mal22 24.60 0.100 r 8.99 36.574 0.002 14 1.3792 0.079 0.092 0.283 0.307 47.612442 0.0900 0.319787 0.002696 9.355 0.001 17.099 0.003 73.288 0.321 66099.629 29.818 29.255 14.673 2455858.93755 3.64 K11Uf1E +res N 3 1 IH mal23 24.00 0.058 r 8.32 37.042 0.001 17 4.0383 0.090 0.095 0.220 0.214 61.841493 0.0138 0.433397 0.000152 26.582 0.000 23.364 0.000 45.048 0.041 62204.786 6.453 28.686 16.770 2455860.81377 3.61 K11Uf1R +cla m -1 -1 S mal24 23.43 0.033 r 7.73 37.131 0.002 29 1.4476 0.079 0.081 0.220 0.195 40.737407 0.0071 0.092034 0.000727 26.365 0.001 218.923 0.001 151.607 1.328 51996.797 287.227 25.348 15.742 2455860.78698 3.54 K11Uf2K +res N 2 1 S mal25 24.05 0.050 r 8.34 37.267 0.002 31 1.4313 0.077 0.068 0.316 0.220 47.728107 0.0877 0.344476 0.002377 5.872 0.001 261.775 0.010 195.753 0.174 67591.230 3.849 25.992 15.848 2455860.78698 3.42 K11Uf1F +det x -1 -1 IH mal26 23.80 0.058 r 8.09 37.450 0.002 23 1.4422 0.086 0.093 0.179 0.263 56.343378 0.0326 0.344260 0.000724 19.721 0.001 23.081 0.000 26.434 0.380 59496.893 72.823 27.561 14.323 2455858.93329 3.43 K11Uf2P +res N 5 3 S mal27 23.90 0.100 r 8.19 37.500 0.002 21 1.4338 0.093 0.097 0.216 0.307 42.290464 0.0089 0.118938 0.000743 5.141 0.001 21.604 0.003 30.012 1.027 60173.199 221.212 29.398 13.020 2455858.90337 3.41 K11Uf1J +res N 3 2 S mal28 23.80 0.058 r 8.06 37.600 0.001 30 2.1631 0.066 0.113 0.199 0.287 39.578271 0.0138 0.217496 0.000727 10.752 0.001 17.914 0.001 285.455 0.014 39497.528 13.251 29.422 15.045 2455860.76973 3.49 K11Uf0W +cla i -1 -1 I mal29 23.40 0.000 r 7.61 37.892 0.002 26 1.4146 0.071 0.071 0.266 0.197 38.039160 0.0246 0.128766 0.002599 27.787 0.001 21.128 0.000 273.127 0.125 36565.721 81.731 25.411 15.152 2455860.78698 3.52 K11Uf2O +res N 3 2 S mal30 21.87 0.033 r 6.10 37.958 0.001 31 2.2717 0.092 0.075 0.229 0.231 39.307760 0.0187 0.210805 0.001016 12.842 0.001 26.610 0.000 272.045 0.028 38634.445 22.650 29.058 13.136 2455858.90763 3.42 K04V75T +res N 3 2 S mal31 24.00 0.000 r 8.16 38.402 0.001 26 2.3184 0.086 0.079 0.245 0.227 39.520545 0.0133 0.124484 0.001159 3.833 0.000 298.461 0.010 8.437 0.041 38191.667 16.937 27.475 15.512 2455860.77825 3.52 K11Uf0Z +res N 3 2 I mal32 23.77 0.033 r 7.91 38.548 0.001 25 2.0862 0.076 0.080 0.281 0.252 39.600536 0.0056 0.043646 0.000750 14.900 0.001 13.374 0.001 322.525 0.612 43039.790 131.718 26.307 15.687 2455860.78262 3.42 K11Uf1B +res N 4 1 S mal33 24.20 0.100 r 8.34 38.569 0.003 17 1.4228 0.063 0.090 0.131 0.205 75.785556 0.0220 0.491166 0.000149 13.435 0.001 231.961 0.002 160.345 0.495 56178.002 98.469 27.269 16.537 2455860.80517 3.21 K11Uf1P +res N 5 3 S mal34 24.27 0.088 r 8.36 39.189 0.002 16 1.4340 0.086 0.091 0.216 0.263 42.223676 0.0047 0.071898 0.000092 1.974 0.000 308.534 0.043 82.373 2.385 56151.282 572.392 26.861 13.224 2455858.91621 3.26 K11Uf1L +res N 3 2 S mal35 21.50 0.000 r 5.57 39.355 0.001 27 4.1122 0.045 0.096 0.097 0.207 39.512594 0.0040 0.178507 0.000226 13.497 0.000 19.795 0.000 109.099 0.017 75569.660 6.173 26.827 13.695 2455858.91621 3.36 K11Uf0T +cla m -1 -1 I mal36 24.60 0.173 r 8.65 39.507 0.003 12 1.1468 0.090 0.118 0.166 0.311 46.250117 0.0110 0.147643 0.000843 2.956 0.001 252.563 0.024 146.427 2.231 58270.138 519.823 25.905 12.975 2455858.92047 3.26 K11Uf2A +cla m -1 -1 I mal37 24.23 0.133 r 8.27 39.653 0.002 23 1.3793 0.118 0.137 0.275 0.353 42.432680 0.0185 0.098398 0.002359 7.210 0.001 24.163 0.002 315.718 1.041 43456.458 209.011 30.125 13.445 2455858.90337 3.27 K11Uf1X +cla m -1 -1 IH mal38 24.40 0.153 r 8.35 40.339 0.002 27 1.4309 0.123 0.099 0.313 0.249 45.382779 0.0219 0.131928 0.001813 10.729 0.001 231.692 0.002 124.064 1.022 46961.974 225.627 29.765 15.901 2455860.81804 3.36 K11Uf2M +cla m -1 -1 S mal39 23.80 0.058 r 7.74 40.517 0.002 26 1.4723 0.098 0.067 0.230 0.145 43.408021 0.0058 0.070503 0.000850 3.132 0.001 337.472 0.019 32.829 1.774 50639.411 441.022 27.930 14.237 2455858.93329 3.19 K11Uf2C +cla m -1 -1 S mal40 23.13 0.033 r 7.03 40.875 0.002 24 1.4339 0.066 0.064 0.291 0.162 43.048298 0.0116 0.070517 0.001847 7.737 0.001 14.293 0.003 329.394 1.353 43929.543 313.333 27.994 13.942 2455858.93329 3.17 J99RL5U +cla i -1 -1 S mal41 24.47 0.067 r 8.36 40.960 0.004 13 1.2892 0.059 0.075 0.164 0.206 38.960081 0.0183 0.057848 0.002627 20.411 0.002 216.340 0.001 325.615 5.440 93092.918 1343.401 25.278 13.703 2455858.92047 3.13 K11Uf2N +cla m -1 -1 S mal42 22.57 0.033 r 6.43 41.288 0.002 23 1.3795 0.070 0.119 0.191 0.387 44.061145 0.0047 0.063950 0.000495 2.122 0.002 8.325 0.019 34.887 2.643 58648.018 686.860 30.029 13.190 2455858.90337 3.13 K01RE3Z +cla m -1 -1 S mal43 24.07 0.033 r 7.92 41.355 0.002 23 1.4340 0.123 0.079 0.228 0.201 43.362997 0.0132 0.066840 0.002121 4.419 0.001 20.174 0.004 323.075 1.529 43238.873 359.215 29.926 13.229 2455858.90337 3.15 K11Uf1V +cla m -1 -1 S mal44 24.17 0.033 r 8.01 41.372 0.002 22 1.4313 0.077 0.091 0.177 0.246 42.603289 0.0268 0.116416 0.002709 15.118 0.002 21.517 0.001 94.399 0.213 75304.677 12.265 30.145 15.790 2455860.76973 3.17 K11Uf2H +res N 3 2 S mal45 23.07 0.033 r 6.90 41.480 0.001 28 2.2668 0.064 0.061 0.264 0.191 39.212242 0.0272 0.288434 0.001143 15.700 0.001 19.081 0.001 131.877 0.109 77058.855 44.885 29.485 16.301 2455860.81804 3.20 K11Uf1D +cla m -1 -1 I mal46 24.53 0.167 r 8.37 41.526 0.002 20 1.4340 0.090 0.114 0.264 0.299 43.839053 0.0391 0.165471 0.002631 4.529 0.002 18.484 0.005 94.657 0.169 74173.180 14.681 30.075 13.468 2455858.90337 3.28 K11Uf1W +res N 2 1 S mal47 24.57 0.133 r 8.33 41.987 0.001 21 3.9566 0.147 0.080 0.365 0.194 47.693004 0.0084 0.141996 0.000276 10.691 0.000 238.834 0.001 114.086 0.110 46437.643 25.154 26.561 16.561 2455860.80517 3.02 K11Uf1G +cla m -1 -1 S mal48 23.83 0.033 r 7.57 42.436 0.002 33 1.4313 0.082 0.095 0.229 0.306 46.451000 0.0339 0.155030 0.002303 2.496 0.000 303.964 0.028 24.904 0.407 40158.170 58.463 29.832 14.893 2455860.76973 3.07 K11Uf2G +cla m -1 -1 I mal49 23.73 0.033 r 7.41 42.833 0.002 21 1.4395 0.071 0.104 0.170 0.195 43.028360 0.0215 0.083076 0.002884 10.371 0.002 239.455 0.005 60.139 0.104 32305.258 103.291 27.842 16.754 2455860.80951 3.07 K11Uf2L +cla m -1 -1 S mal50 24.30 0.200 r 7.98 42.997 0.002 17 1.4338 0.057 0.071 0.157 0.193 42.030971 0.0066 0.029441 0.001841 29.757 0.002 27.031 0.000 147.942 4.534 94556.742 1254.021 28.820 14.932 2455860.77399 3.12 K11Uf2J +cla m -1 -1 S mal51 23.97 0.088 r 7.64 43.191 0.002 25 1.4423 0.101 0.052 0.245 0.119 44.217924 0.0151 0.064180 0.002442 1.907 0.000 309.431 0.040 154.113 0.723 75286.666 137.994 28.659 13.809 2455858.90763 2.99 K11Uf1Y +cla m -1 -1 S mal52 24.30 0.000 r 7.95 43.301 0.002 24 1.4723 0.105 0.099 0.262 0.256 43.940956 0.0082 0.030894 0.002452 1.694 0.001 357.000 0.029 98.659 2.328 73617.814 599.391 29.882 13.259 2455858.90337 2.99 K11Uf1U +cla m -1 -1 S mal53 23.20 0.000 r 6.74 44.397 0.001 25 4.1122 0.121 0.120 0.259 0.291 45.413690 0.0039 0.052319 0.000331 5.496 0.000 358.348 0.003 100.405 0.214 75027.845 53.039 28.178 14.852 2455858.93329 2.94 K11Uf2D +cla m -1 -1 S mal54 24.27 0.033 r 7.75 44.937 0.005 17 1.2809 0.100 0.105 0.202 0.221 43.495764 0.0186 0.055618 0.005116 15.311 0.002 14.512 0.002 245.796 4.194 19787.907 1227.682 25.362 14.784 2455858.92476 2.99 K11Uf2B +cla m -1 -1 S mal55 24.27 0.033 r 7.74 45.158 0.002 22 1.4504 0.061 0.098 0.124 0.269 45.535456 0.0143 0.053150 0.002964 1.214 0.000 315.356 0.069 352.167 0.320 31494.864 18.823 29.187 13.224 2455858.90763 2.83 K11Uf1Z +cla m -1 -1 S mal56 24.40 0.000 r 7.82 45.576 0.004 12 1.1466 0.080 0.090 0.153 0.227 45.069927 0.0169 0.011888 0.002565 2.146 0.000 313.968 0.066 277.782 41.184 6484.545 12639.352 30.198 14.597 2455858.94181 2.94 K11Uf2F +cla o -1 -1 I mal57 24.13 0.088 r 7.49 46.124 0.003 15 1.4395 0.115 0.103 0.286 0.257 48.080094 0.0726 0.182727 0.003915 17.822 0.002 224.314 0.002 79.714 0.046 33180.331 87.605 28.825 15.946 2455860.81377 2.98 K11Uf2T +cla m -1 -1 I mal58 24.40 0.100 r 7.74 46.661 0.004 16 1.4501 0.093 0.084 0.176 0.184 47.879267 0.0788 0.160826 0.004845 2.606 0.002 5.095 0.021 116.380 0.044 79920.003 123.636 28.917 13.103 2455858.90763 2.81 K11Uf2S +cla m -1 -1 S mal59 23.27 0.033 r 6.44 48.245 0.003 26 1.4339 0.084 0.112 0.221 0.301 43.495625 0.0053 0.111878 0.000549 22.799 0.002 218.117 0.000 5.580 1.448 7508.573 419.189 30.111 14.586 2455858.94181 2.84 K11Uf2E +res N 5 3 S mal60 24.07 0.088 r 7.23 48.408 0.007 12 1.2891 0.063 0.098 0.150 0.265 42.222091 0.0142 0.146728 0.000412 9.385 0.003 11.445 0.006 196.753 3.581 104918.269 986.116 27.424 14.695 2455858.93329 2.76 K11Uf1M +res N 5 2 I mal61 24.53 0.067 r 7.45 51.239 0.004 20 1.4338 0.088 0.132 0.221 0.242 55.668479 0.2748 0.406186 0.005081 6.420 0.002 4.876 0.011 130.185 0.159 79336.444 140.708 28.610 14.909 2455860.77399 2.61 K11Uf1T +res N 3 1 I mal62 23.90 0.000 r 6.75 52.005 0.002 25 1.4396 0.074 0.079 0.150 0.177 62.442250 0.2131 0.404531 0.003525 40.400 0.002 215.504 0.000 263.654 0.018 78060.666 65.762 27.736 15.359 2455860.77825 2.68 K11Uf1Q diff --git a/src/ossssim/Characterizations/All_r_Surveys/All_r_Surveys_v11.detections b/src/ossssim/Characterizations/All_r_Surveys/All_r_Surveys_v11.detections new file mode 100644 index 0000000..bff123d --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/All_r_Surveys_v11.detections @@ -0,0 +1,959 @@ +# File: All_r_Surveys_v11.detections +# +# cl p j k sh object mag e_mag Filt Hsur dist e_dist Nobs time av_xres av_yres max_x max_y a e_a e e_e i e_i Omega e_Omega omega e_omega tperi e_tperi RAdeg DEdeg JD rate MPC +sca x -1 -1 S o3e01 21.50 0.087 r 7.73 23.291 0.000 120 15.1322 0.083 0.073 0.311 0.343 34.419111 0.0012 0.589613 0.000009 7.711 0.000 32.982 0.000 275.186 0.002 62220.913 0.038 213.148 -13.587 2456386.92978 4.87 K02GG6G +res N 3 2 S o3e02 23.34 0.140 r 8.32 31.080 0.001 32 3.2522 0.047 0.052 0.187 0.134 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0.066792 0.002218 1.457 0.001 331.948 0.030 339.855 1.122 41081.445 265.582 9.766 5.213 2457273.91317 2.63 K15RS0J +cla m -1 -1 S o5t39 24.67 0.157 r 8.18 43.756 0.001 46 1.6035 0.094 0.087 0.361 0.295 45.492119 0.0111 0.062713 0.001912 0.531 0.001 17.399 0.018 44.536 1.237 72726.821 308.995 6.460 2.681 2457273.88448 2.76 K15RR9O +cla m -1 -1 S o5t40 24.59 0.130 r 7.89 45.849 0.001 36 2.5016 0.060 0.058 0.170 0.155 44.165219 0.0030 0.039113 0.000283 0.717 0.000 297.849 0.070 238.668 1.682 106871.661 500.120 8.344 4.353 2457273.90090 2.58 K15RR9S +cla m -1 -1 S o5t41 24.40 0.104 r 7.68 45.945 0.001 30 2.5016 0.069 0.074 0.308 0.189 44.310073 0.0040 0.043379 0.000576 0.997 0.001 0.222 0.010 220.390 1.366 13325.614 408.959 9.761 4.395 2457273.90906 2.52 K15RS0E +res N 3 2 S o5t42 23.71 0.064 r 7.00 45.989 0.001 35 17.2432 0.082 0.089 0.203 0.188 39.456500 0.0024 0.203719 0.000052 1.588 0.000 238.322 0.004 338.347 0.013 22705.537 3.652 6.720 4.275 2457273.88855 2.65 K00QO3A +cla m -1 -1 S o5t43 24.03 0.080 r 7.28 46.311 0.002 28 2.5016 0.043 0.053 0.142 0.142 44.648511 0.0196 0.108996 0.001846 1.491 0.001 13.183 0.002 241.095 0.496 25781.206 162.600 9.741 4.105 2457273.90906 2.53 K15RS0D +cla m -1 -1 S o5t44 24.48 0.160 r 7.72 46.375 0.001 37 2.4442 0.067 0.066 0.220 0.176 43.559724 0.0036 0.070802 0.000405 3.566 0.001 353.443 0.004 218.758 0.824 12311.498 240.257 8.976 4.978 2457273.90498 2.52 K15RR9Z +cla m -1 -1 I o5t45 24.77 0.177 r 7.98 46.908 0.001 53 2.4441 0.106 0.091 0.471 0.354 44.106759 0.0029 0.064040 0.000237 0.156 0.001 9.007 0.015 169.847 1.534 108397.523 454.850 5.725 2.467 2457273.87633 2.55 K15RR9M +res N 3 2 S o5t46 24.13 0.110 r 7.33 47.056 0.002 47 2.5017 0.062 0.055 0.249 0.206 39.385171 0.0184 0.241353 0.000918 8.001 0.001 8.335 0.000 206.048 0.407 23282.372 104.941 5.820 2.112 2457273.87633 2.67 K15RR7R +res N 2 1 S o5t47 24.37 0.245 r 7.49 47.811 0.002 24 2.1929 0.067 0.062 0.164 0.223 47.642393 0.0293 0.206288 0.001456 0.073 0.001 72.562 0.947 38.225 0.951 83669.357 53.244 7.738 3.268 2457273.89268 2.44 K15RR7X +res N 5 3 S o5t48 24.59 0.525 r 7.63 48.741 0.002 31 2.5018 0.058 0.085 0.134 0.215 42.182535 0.0032 0.156181 0.000110 5.209 0.001 358.367 0.002 193.456 0.541 9031.891 148.395 6.618 3.741 2457273.88855 2.48 K15RR8J +cla m -1 -1 S o5t49 24.34 0.095 r 7.34 49.086 0.002 34 2.5016 0.064 0.055 0.174 0.146 44.850951 0.0034 0.095994 0.000195 1.968 0.001 353.231 0.009 205.988 0.763 5916.475 231.510 9.220 4.595 2457273.90906 2.43 K15RS0A +sca x -1 -1 I o5t50 24.32 0.130 r 7.12 51.422 0.002 35 2.2503 0.095 0.084 0.541 0.358 59.872018 0.1850 0.688095 0.001195 30.267 0.002 189.651 0.000 304.002 0.064 75863.668 27.419 9.083 4.037 2457273.90090 2.38 K15RR9A +det x -1 -1 IH o5t51 23.81 0.064 r 6.58 51.825 0.002 37 2.5016 0.053 0.038 0.184 0.128 59.830006 0.0944 0.424769 0.001520 13.851 0.001 9.393 0.000 263.196 0.030 34495.968 37.390 9.447 4.197 2457273.90906 2.29 K15RR9G +sca x -1 -1 I o5t52 24.13 0.118 r 6.10 62.394 0.002 37 2.5016 0.067 0.052 0.186 0.263 426.017995 9.4058 0.893106 0.002502 12.138 0.001 8.605 0.000 65.139 0.079 75605.858 7.811 8.613 3.817 2457273.90090 1.88 K15RO5X +res N 5 2 I o5t53 24.97 0.183 r 6.89 63.280 0.003 31 2.4170 0.135 0.105 0.299 0.369 55.483721 0.0984 0.385306 0.001970 5.038 0.002 191.137 0.002 305.810 0.250 95335.611 165.180 5.484 2.887 2457273.87633 1.98 K15RR8H +res N 3 1 I o5t54 24.94 0.182 r 6.58 67.478 0.003 27 2.5017 0.095 0.110 0.437 0.457 62.239671 0.1984 0.444722 0.002837 5.827 0.002 194.181 0.003 45.776 0.272 19491.230 289.950 5.248 3.214 2457273.88042 1.84 K15RR7Z +cla m -1 -1 S o5t58 24.63 0.130 r 7.80 47.109 0.002 24 1.4748 0.073 0.102 0.240 0.321 45.404657 0.0146 0.062657 0.002276 23.820 0.002 7.868 0.000 233.651 1.781 18832.640 559.019 9.949 5.746 2457274.01862 2.44 K15RS0K +res N 3 2 S L3h01 23.12 0.112 r 7.81 33.324 0.001 21 2.2715 0.232 0.633 0.495 1.176 39.492378 0.0060 0.157495 0.000095 9.114 0.001 197.976 0.000 7.021 0.286 54322.837 51.660 194.416 -6.450 2452755.82408 3.62 K04FG4W +cla m -1 -1 S L3h04 23.59 0.183 r 6.94 45.469 0.002 22 4.0546 0.317 0.218 0.863 0.512 47.196094 0.0088 0.223870 0.000378 29.525 0.001 197.544 0.000 265.169 0.023 30420.334 10.879 194.534 -6.883 2452755.82408 2.87 K03H56X +cla m -1 -1 S L3h05 23.30 0.134 r 6.95 42.450 0.002 16 2.2091 0.183 0.261 0.563 0.651 42.603511 0.0076 0.036813 0.005146 2.578 0.001 35.620 0.009 247.517 0.966 75954.552 113.600 195.268 -5.585 2452755.82670 2.99 K03H56Y +sca x -1 -1 I L3h08 23.59 0.177 r 7.66 38.445 0.001 22 5.1218 0.128 0.239 0.248 0.360 159.681973 0.1233 0.761413 0.000176 15.500 0.000 197.871 0.000 10.841 0.013 54874.804 2.236 195.127 -6.718 2452755.83459 3.02 K03H57B +cla m -1 -1 S L3h09 22.12 0.048 r 5.67 43.430 0.002 20 2.2113 0.149 0.166 0.461 0.551 44.046269 0.0248 0.071521 0.004999 1.038 0.001 234.051 0.041 46.116 0.673 74897.734 49.883 195.390 -7.250 2452755.83459 2.82 K03H57C +xxx x -1 -1 x L3h10nt 22.84 0.085 r 7.80 31.300 0.678 7 0.0932 0.059 0.065 0.125 0.146 32.233582 17.1309 0.731564 0.199416 14.580 1.961 15.128 0.293 46.809 12.642 44247.934 2377.119 195.168 -7.106 2452755.83459 4.11 K03H57M +res N 3 2 S L3h11 23.16 0.128 r 7.94 32.701 0.001 15 2.2091 0.257 0.468 0.829 1.223 39.399366 0.0060 0.171023 0.000096 27.626 0.001 199.712 0.000 5.173 0.380 54049.542 66.441 195.423 -7.726 2452755.83196 3.85 K03H57A +cla m -1 -1 S L3h13 23.05 0.110 r 6.93 40.229 0.002 14 2.2010 0.125 0.210 0.316 0.618 44.038284 0.0240 0.087995 0.001303 1.436 0.001 39.091 0.020 146.335 3.129 49886.440 771.389 195.452 -5.990 2452755.86103 2.90 K03H57H +res N 3 2 S L3h14 22.98 0.096 r 7.73 32.896 0.001 15 2.2091 0.179 0.177 0.286 0.344 39.446413 0.0278 0.179332 0.001229 5.621 0.001 34.377 0.002 136.528 0.602 48156.404 99.427 196.193 -5.064 2452755.83724 3.56 K03H57D +xxx x -1 -1 x L3h15nt 23.53 0.170 r 7.18 42.466 1.167 7 0.0932 0.035 0.117 0.078 0.289 43.543254 22.6625 0.359925 0.592358 2.283 0.375 34.054 2.705 271.363 44.689 71833.329 15937.845 196.502 -6.324 2452755.84521 2.90 K03H57N +xxx x -1 -1 x L3h16nt 23.51 0.183 r 7.03 43.802 1.361 7 0.0933 0.121 0.190 0.201 0.499 44.939624 23.5191 0.745922 0.204180 6.845 1.791 27.397 2.363 34.162 14.304 38905.682 3797.288 197.149 -6.115 2452755.84782 3.14 K03H57O +cla m -1 -1 S L3h18 22.46 0.070 r 6.06 42.976 0.001 20 4.0548 0.154 0.238 0.360 0.618 43.612247 0.0053 0.032259 0.000304 2.098 0.000 36.306 0.004 227.668 0.299 70706.911 76.890 197.592 -6.783 2452755.85572 2.88 K03H57G +res N 3 2 S L3h19 23.30 0.138 r 8.13 32.364 0.002 19 5.0263 0.043 0.153 0.132 0.164 39.352922 0.0093 0.193231 0.000136 1.422 0.000 48.135 0.004 123.039 0.039 48039.949 6.206 197.510 -6.665 2452755.85572 3.67 K03H57F +cla m -1 -1 IH L3h20 23.06 0.123 r 6.97 40.006 0.002 13 2.2063 0.094 0.187 0.178 0.389 44.172946 0.0364 0.099792 0.002081 8.863 0.001 9.996 0.002 168.644 2.493 47640.750 595.397 197.062 -8.890 2452755.85049 2.97 K03H57E +cla m -1 -1 S HL6r1 22.97 0.067 r 6.79 40.771 0.002 20 2.8501 0.097 0.110 0.403 0.358 40.385613 0.0077 0.038584 0.000446 21.057 0.001 211.259 0.002 23.279 0.271 27410.864 74.848 337.687 8.367 2453996.92750 3.21 K07RV4L +det x -1 -1 I HL6r2 23.60 0.058 r 7.71 38.188 0.001 26 7.0497 0.140 0.459 0.417 0.796 49.758679 0.0088 0.253884 0.000107 25.048 0.000 310.362 0.000 68.700 0.020 60340.168 4.033 340.771 8.761 2453996.92563 3.18 K06Sf5H +res N 2 1 SH HL6r3 23.27 0.033 r 7.75 35.007 0.001 30 7.0498 0.150 0.235 0.430 0.524 47.931346 0.0064 0.291508 0.000073 31.376 0.000 186.954 0.000 183.080 0.014 59375.076 2.473 339.270 6.329 2453996.90385 3.72 K06Sf5G +det x -1 -1 I HL6r4 22.70 0.173 r 6.33 42.622 0.001 33 7.0389 0.140 0.212 0.328 1.199 70.813767 0.0216 0.484623 0.000155 20.884 0.000 209.422 0.000 75.833 0.009 42557.035 1.431 338.169 7.846 2453996.90574 2.91 K07RV4M +cla m -1 -1 S HL6r5 23.73 0.120 r 7.40 42.266 0.002 17 1.9518 0.148 0.247 0.595 0.424 42.599421 0.0083 0.027342 0.001135 18.517 0.001 208.990 0.003 58.999 0.754 33729.986 175.922 340.182 6.265 2453996.90994 3.02 K06Sf5E +cla m -1 -1 S HL6r6 23.87 0.088 r 7.70 40.713 0.003 16 1.9518 0.080 0.182 0.218 0.310 43.197883 0.0150 0.077006 0.000964 15.712 0.000 269.148 0.005 121.140 0.649 65149.510 150.287 339.971 8.449 2453996.91929 3.06 K06Sf5F +res N 5 1 I HL7c1 23.20 0.058 r 7.17 39.100 0.001 41 6.0402 0.387 0.164 0.496 0.426 87.493815 0.0344 0.618771 0.000160 23.237 0.000 102.286 0.001 9.961 0.005 45267.518 0.478 171.828 26.332 2454180.87722 2.87 K07F51N +cla m -1 -1 S HL7c2 23.00 0.153 r 6.59 42.557 0.001 26 8.0053 0.178 0.126 0.624 0.451 45.547957 0.0086 0.160926 0.000202 29.222 0.000 106.633 0.001 342.223 0.025 36258.601 7.513 171.427 30.686 2454180.90321 2.84 K07F51M +det x -1 -1 IH HL7c3 22.87 0.186 r 6.99 37.562 0.001 24 8.0053 0.355 0.356 0.770 0.763 50.403067 0.0077 0.287912 0.000057 27.945 0.000 43.225 0.000 150.465 0.032 61465.070 5.870 171.843 32.041 2454180.90836 3.39 K07F51O +det x -1 -1 S HL7j1 23.07 0.186 r 7.03 38.848 0.001 23 7.7790 0.094 0.121 0.351 0.402 72.361527 0.0225 0.469690 0.000149 31.540 0.000 137.807 0.000 117.995 0.013 57447.709 2.622 245.439 10.467 2454263.81694 2.97 K07L38J +sca x -1 -1 S HL7j2 23.37 0.033 r 7.50 37.377 0.001 44 8.9070 0.082 0.217 0.591 0.752 133.932936 0.0380 0.725235 0.000074 34.197 0.000 122.926 0.000 130.152 0.004 56974.507 0.602 245.362 10.487 2454263.81694 3.12 K07L38H +res N 5 2 S HL7j3 22.93 0.088 r 7.68 32.219 0.001 34 7.7791 0.126 0.225 0.415 0.614 55.452064 0.0089 0.434019 0.000086 32.579 0.000 139.630 0.000 75.869 0.005 50647.250 0.721 244.922 12.074 2454263.81068 3.71 K07L38G +res N 5 1 I HL7j4 22.53 0.088 r 5.54 48.432 0.001 54 6.0689 0.168 0.104 0.551 0.349 87.569525 0.0275 0.555223 0.000171 35.825 0.000 169.294 0.001 12.737 0.007 39707.498 0.918 246.382 14.100 2454263.82707 2.47 K07L38F +cla o -1 -1 S HL7j5 23.27 0.067 r 6.93 41.799 0.001 24 7.7790 0.265 0.190 0.875 0.494 54.049813 0.0097 0.226754 0.000118 35.966 0.000 193.529 0.001 53.665 0.037 53729.730 9.019 246.549 8.453 2454263.83334 2.91 K07L38E +res N 22 15 I HL7p1 23.20 0.115 r 7.30 37.952 0.001 32 6.0727 0.192 0.335 0.692 0.537 38.817011 0.0032 0.067756 0.000086 25.479 0.000 232.249 0.001 180.436 0.066 70812.984 12.753 331.697 15.292 2454349.80821 3.42 K07RW6Y +res N 17 9 I HL7p2 23.70 0.100 r 8.16 35.127 0.002 17 1.7909 0.083 0.163 0.216 0.535 45.922682 0.0132 0.235493 0.000157 20.500 0.000 264.306 0.003 72.051 0.233 53533.533 43.888 333.496 11.026 2454349.80317 3.43 K07RW6W +cla m -1 -1 S HL7p3 23.30 0.300 r 7.25 39.343 0.001 22 1.7934 0.116 0.168 0.317 0.859 46.096206 0.0074 0.156517 0.000328 25.029 0.000 264.444 0.003 52.385 0.248 48812.282 54.881 331.534 15.030 2454349.80821 3.29 K07RW6X +sca x -1 -1 S HL8a1 22.93 0.233 r 6.29 44.517 0.001 24 7.2032 0.123 0.199 0.595 0.538 32.392864 0.0023 0.374396 0.000085 42.826 0.000 50.544 0.001 253.120 0.043 87750.764 7.420 138.145 60.228 2454473.86123 3.02 K08AD8U +det x -1 -1 S HL8k1 24.57 0.120 r 7.91 44.453 0.001 35 5.1773 0.120 0.242 0.383 0.512 87.348572 0.0203 0.543117 0.000137 48.815 0.000 153.059 0.000 146.559 0.020 64524.370 3.215 263.826 25.038 2454597.98591 2.65 K08J41O +sca x -1 -1 S HL8n1 23.73 0.033 r 8.52 31.849 0.000 48 5.3495 0.108 0.217 0.399 0.510 41.531221 0.0041 0.491379 0.000069 103.447 0.000 260.968 0.000 133.097 0.004 64629.370 0.435 253.643 19.381 2454617.85234 5.12 K08K42V +sca x -1 -1 I HL9m1 21.13 0.088 r 9.57 12.872 0.000 71 4.0303 0.171 0.169 0.278 0.314 348.905416 0.1571 0.968470 0.000014 68.016 0.000 220.228 0.000 128.662 0.000 56335.536 0.011 283.374 48.929 2455007.97918 8.44 K09M09S +cen x -1 -1 I mah01 24.20 0.000 r 10.61 22.432 0.001 19 1.0429 0.084 0.107 0.359 0.288 30.072429 0.0028 0.259122 0.000159 53.886 0.001 20.010 0.001 34.380 0.195 57566.284 18.396 23.809 28.215 2456220.86078 6.11 K12UH7W +res N 1 1 S mah02 23.67 0.067 r 8.89 29.578 0.001 30 1.4614 0.085 0.070 0.231 0.201 30.023515 0.0044 0.072277 0.000854 20.833 0.000 265.668 0.002 204.284 0.104 68166.873 4.907 23.280 28.683 2456220.85652 4.27 K12UH7V +res N 3 2 S mah03 24.37 0.033 r 9.45 30.482 0.002 18 1.2344 0.036 0.055 0.173 0.172 39.303880 0.0103 0.224762 0.000267 21.876 0.001 261.872 0.002 130.578 0.705 56470.979 108.594 24.230 28.805 2456220.86936 4.11 K12UH7G +res N 5 2 I mah04 24.10 0.058 r 8.62 34.429 0.001 25 1.4585 0.062 0.082 0.190 0.299 55.196603 0.0740 0.433338 0.001267 15.632 0.000 298.867 0.003 46.945 0.159 48559.586 16.450 25.969 27.937 2456221.89663 3.61 K12UH7J +res N 11 7 I mah05 22.90 0.000 r 7.22 36.474 0.001 30 1.4643 0.074 0.069 0.185 0.232 40.666012 0.0087 0.116618 0.000780 19.236 0.000 272.168 0.003 147.620 0.643 62316.150 128.432 23.213 28.344 2456220.86078 3.50 K12UH7L +det x -1 -1 IH mah06 24.20 0.100 r 8.48 36.605 0.002 25 1.4665 0.071 0.082 0.207 0.197 56.088975 0.0494 0.366517 0.001076 17.214 0.001 271.782 0.003 92.511 0.325 50735.469 55.269 26.969 27.174 2456221.91369 3.43 K12UH7S +cla m -1 -1 S mah07 22.95 0.050 r 7.25 36.611 0.002 29 1.4667 0.094 0.063 0.279 0.204 43.181427 0.0097 0.158914 0.000614 20.094 0.001 341.291 0.002 71.189 0.652 59873.200 132.287 24.766 28.006 2456220.87365 3.51 K12UH7N +det x -1 -1 I mah08 24.05 0.050 r 8.35 36.784 0.001 25 1.4560 0.086 0.063 0.235 0.156 92.321941 0.1656 0.617263 0.000887 24.852 0.001 251.482 0.002 162.468 0.172 60322.956 26.524 24.334 27.989 2456220.87365 3.41 K12UH7K +res N 17 10 I mah09 24.03 0.088 r 7.94 39.922 0.002 27 1.4585 0.057 0.084 0.245 0.210 42.823392 0.0143 0.098642 0.001688 16.601 0.001 280.170 0.004 59.871 0.781 43723.386 160.589 25.444 27.402 2456221.90089 3.20 K12UH7P +det x -1 -1 I mah10 23.83 0.033 r 7.74 40.257 0.002 26 1.4560 0.088 0.079 0.256 0.177 51.970057 0.0731 0.312457 0.002009 19.603 0.001 330.160 0.003 120.092 0.237 67748.156 25.547 23.463 29.111 2456220.85652 3.23 K12UH7Q +xxx x -1 -1 x mah11nt 24.17 0.088 r 8.27 38.339 4.146 3 0.0002 0.035 0.081 0.052 0.121 39.292151 20.5413 0.024508 0.573417 14.614 3.683 315.660 80.083 87.978 1383.856 58192.717 328501.024 27.428 27.082 2456221.91369 3.29 ------- +cla m -1 -1 S mah12 24.57 0.167 r 8.30 41.687 0.002 19 1.4586 0.077 0.119 0.176 0.288 43.548763 0.0112 0.058274 0.002153 16.177 0.000 287.738 0.006 56.905 2.053 43990.595 504.822 23.641 27.176 2456220.86510 3.23 K12UH7M +cla m -1 -1 IH mah13 24.45 0.150 r 8.11 42.380 0.002 25 1.4560 0.084 0.064 0.255 0.241 41.562084 0.0051 0.035094 0.002027 16.446 0.000 289.959 0.006 336.026 2.382 22542.167 649.401 25.432 28.128 2456221.89663 3.07 K12UH7O +res N 23 6 IH mah14 24.23 0.088 r 7.73 44.388 0.003 26 1.4560 0.072 0.101 0.211 0.230 73.787390 0.3243 0.491581 0.003349 16.353 0.000 291.500 0.006 158.157 0.249 68245.377 18.528 25.403 28.108 2456221.89663 2.90 K12UH7R +res N 3 2 S mah15 24.20 0.200 r 7.55 45.464 0.002 27 1.4559 0.087 0.076 0.204 0.213 39.392371 0.0177 0.190726 0.001195 23.749 0.001 255.149 0.003 346.198 0.626 21340.843 160.100 26.817 28.406 2456221.90942 2.83 K12UH7H +cen x -1 -1 S mal01 22.57 0.033 r 9.56 20.296 0.000 33 1.4722 0.056 0.056 0.137 0.174 19.091885 0.0028 0.176854 0.000395 10.811 0.000 222.498 0.000 287.469 0.068 64381.360 6.862 27.666 13.909 2455858.91192 6.27 K11Q99F +res N 3 2 S mal02 22.30 0.000 r 7.72 28.724 0.000 43 2.0894 0.059 0.085 0.205 0.286 39.270353 0.0035 0.271787 0.000086 4.652 0.000 289.175 0.005 88.353 0.058 54193.649 7.782 25.741 15.740 2455860.78698 4.36 K11Uf1C +res N 3 2 S mal03 24.43 0.088 r 9.83 28.997 0.001 19 2.0893 0.147 0.086 0.344 0.192 39.292648 0.0040 0.262943 0.000069 12.623 0.001 19.330 0.001 15.395 0.084 56688.516 11.806 25.729 12.950 2455858.92047 4.28 K11Uf0U +res N 3 2 S mal04 23.73 0.088 r 9.00 29.828 0.001 29 2.1003 0.104 0.085 0.350 0.173 39.222939 0.0036 0.244589 0.000089 8.645 0.000 237.962 0.002 167.515 0.093 58007.263 13.493 27.509 15.660 2455860.77825 4.19 K11Uf1A +res N 3 2 S mal05 22.50 0.000 r 7.76 29.862 0.001 26 2.1766 0.068 0.092 0.174 0.201 39.420581 0.0069 0.259110 0.000251 4.308 0.000 332.153 0.006 30.141 0.090 51936.278 11.981 25.833 14.710 2455858.92476 4.16 K11Uf0V +res N 3 2 S mal06 24.43 0.033 r 9.58 30.875 0.001 21 2.2693 0.081 0.078 0.193 0.251 39.412004 0.0086 0.268526 0.000376 17.320 0.001 27.050 0.000 50.367 0.086 62610.166 9.943 28.399 12.997 2455858.90763 4.10 K11Uf0R +res N 3 2 S mal07 24.23 0.088 r 9.35 30.974 0.001 26 2.0071 0.090 0.109 0.277 0.227 39.399608 0.0077 0.263650 0.000311 3.246 0.001 10.821 0.004 335.396 0.060 49041.457 6.638 29.834 13.487 2455858.90337 4.05 K11Uf0Q +res N 3 1 S mal08 24.03 0.067 r 9.10 31.226 0.002 21 1.4308 0.082 0.118 0.235 0.323 62.430542 0.0106 0.499834 0.000083 22.040 0.001 24.813 0.000 9.439 0.276 55818.951 39.895 30.317 16.341 2455860.81804 4.12 K11Uf1S +res N 4 3 S mal09 24.03 0.067 r 9.05 31.606 0.001 24 1.4422 0.111 0.100 0.236 0.245 36.433437 0.0029 0.132951 0.000118 6.812 0.001 9.788 0.003 27.400 0.661 56710.041 111.729 28.930 14.694 2455858.93755 4.11 K11Uf2Z +res N 4 3 S mal10 23.30 0.000 r 8.27 31.794 0.003 19 1.2866 0.076 0.047 0.235 0.114 36.527842 0.0090 0.132867 0.001034 5.437 0.000 292.353 0.013 83.477 1.690 53378.397 283.658 26.243 16.801 2455860.79124 4.01 K11Uf3A +xxx x -1 -1 x mal11nt 24.53 0.088 r 9.39 32.811 0.532 11 0.0986 0.072 0.119 0.216 0.319 38.689001 9.7015 0.162268 0.453720 23.421 2.019 25.504 0.674 31.713 247.617 60080.438 41346.486 29.183 15.247 2455860.77399 4.02 K11Uf2U +res N 3 2 S mal12 23.40 0.058 r 8.21 33.293 0.001 32 2.2503 0.069 0.106 0.200 0.215 39.602513 0.0044 0.174956 0.000295 2.733 0.001 241.740 0.006 179.170 0.200 60931.339 33.635 29.633 13.577 2455858.90337 3.86 K11Uf0P +res N 5 3 S mal13 24.20 0.115 r 8.98 33.447 0.002 23 1.4395 0.120 0.094 0.332 0.256 42.340597 0.0069 0.210384 0.000257 3.234 0.000 326.453 0.017 60.998 0.685 55089.831 121.538 28.472 14.910 2455860.77399 3.74 K11Uf1N +res N 5 3 S mal14 23.80 0.058 r 8.50 33.891 0.001 26 1.4395 0.044 0.088 0.140 0.237 42.281965 0.0113 0.206050 0.000596 5.289 0.000 310.100 0.010 98.933 0.518 59267.158 91.169 26.011 16.512 2455860.79124 3.72 K11Uf1O +res N 5 3 S mal15 21.93 0.033 r 6.65 33.939 0.001 27 1.4724 0.073 0.084 0.238 0.258 42.316514 0.0229 0.232786 0.001079 13.424 0.001 219.278 0.001 210.287 0.335 62702.039 50.553 27.593 13.656 2455858.91192 3.74 K10TI2O +res N 3 2 S mal16 24.40 0.058 r 9.09 34.137 0.002 24 1.4313 0.079 0.095 0.210 0.185 39.312316 0.0077 0.136442 0.000669 8.590 0.001 12.404 0.002 2.932 0.844 52510.286 156.619 29.564 15.392 2455860.76973 3.70 K11Uf0Y +res N 3 2 S mal17 23.70 0.058 r 8.26 35.150 0.001 30 4.1122 0.055 0.072 0.158 0.147 39.514146 0.0063 0.255656 0.000193 11.876 0.000 20.577 0.000 290.401 0.011 42909.427 2.622 26.816 13.150 2455858.91621 3.66 K11Uf0S +res N 19 10 I mal18 24.20 0.058 r 8.71 35.636 0.002 18 1.4504 0.079 0.084 0.273 0.217 46.139736 0.0198 0.238570 0.000852 27.041 0.001 214.057 0.000 198.344 0.547 60032.777 101.001 28.279 13.332 2455858.91192 3.62 K11Uf1H +res N 10 3 I mal19 23.03 0.033 r 7.50 35.912 0.001 22 1.4311 0.058 0.066 0.158 0.177 67.321317 0.0771 0.482854 0.000905 16.712 0.001 219.944 0.000 197.547 0.245 60171.077 39.303 30.192 14.549 2455858.94181 3.53 K11Uf2Q +det x -1 -1 I mal20 24.17 0.145 r 8.59 36.158 0.002 20 1.4395 0.076 0.085 0.150 0.202 50.074947 0.0560 0.314096 0.001632 17.873 0.001 15.280 0.001 54.225 0.410 62768.737 64.217 27.182 16.776 2455860.80517 3.56 K11Uf2R +res N 3 2 S mal21 23.70 0.000 r 8.13 36.258 0.001 28 2.1738 0.076 0.108 0.249 0.341 39.404540 0.0192 0.327945 0.000672 17.479 0.001 223.962 0.000 263.515 0.011 70270.678 9.919 29.530 15.825 2455860.76973 3.59 K11Uf0X +res N 2 1 S mal22 24.60 0.100 r 8.99 36.574 0.002 14 1.3792 0.079 0.092 0.283 0.307 47.612442 0.0900 0.319787 0.002696 9.355 0.001 17.099 0.003 73.288 0.321 66099.629 29.818 29.255 14.673 2455858.93755 3.64 K11Uf1E +res N 3 1 IH mal23 24.00 0.058 r 8.32 37.042 0.001 17 4.0383 0.090 0.095 0.220 0.214 61.841493 0.0138 0.433397 0.000152 26.582 0.000 23.364 0.000 45.048 0.041 62204.786 6.453 28.686 16.770 2455860.81377 3.61 K11Uf1R +cla m -1 -1 S mal24 23.43 0.033 r 7.73 37.131 0.002 29 1.4476 0.079 0.081 0.220 0.195 40.737407 0.0071 0.092034 0.000727 26.365 0.001 218.923 0.001 151.607 1.328 51996.797 287.227 25.348 15.742 2455860.78698 3.54 K11Uf2K +res N 2 1 S mal25 24.05 0.050 r 8.34 37.267 0.002 31 1.4313 0.077 0.068 0.316 0.220 47.728107 0.0877 0.344476 0.002377 5.872 0.001 261.775 0.010 195.753 0.174 67591.230 3.849 25.992 15.848 2455860.78698 3.42 K11Uf1F +det x -1 -1 IH mal26 23.80 0.058 r 8.09 37.450 0.002 23 1.4422 0.086 0.093 0.179 0.263 56.343378 0.0326 0.344260 0.000724 19.721 0.001 23.081 0.000 26.434 0.380 59496.893 72.823 27.561 14.323 2455858.93329 3.43 K11Uf2P +res N 5 3 S mal27 23.90 0.100 r 8.19 37.500 0.002 21 1.4338 0.093 0.097 0.216 0.307 42.290464 0.0089 0.118938 0.000743 5.141 0.001 21.604 0.003 30.012 1.027 60173.199 221.212 29.398 13.020 2455858.90337 3.41 K11Uf1J +res N 3 2 S mal28 23.80 0.058 r 8.06 37.600 0.001 30 2.1631 0.066 0.113 0.199 0.287 39.578271 0.0138 0.217496 0.000727 10.752 0.001 17.914 0.001 285.455 0.014 39497.528 13.251 29.422 15.045 2455860.76973 3.49 K11Uf0W +cla i -1 -1 I mal29 23.40 0.000 r 7.61 37.892 0.002 26 1.4146 0.071 0.071 0.266 0.197 38.039160 0.0246 0.128766 0.002599 27.787 0.001 21.128 0.000 273.127 0.125 36565.721 81.731 25.411 15.152 2455860.78698 3.52 K11Uf2O +res N 3 2 S mal30 21.87 0.033 r 6.10 37.958 0.001 31 2.2717 0.092 0.075 0.229 0.231 39.307760 0.0187 0.210805 0.001016 12.842 0.001 26.610 0.000 272.045 0.028 38634.445 22.650 29.058 13.136 2455858.90763 3.42 K04V75T +res N 3 2 S mal31 24.00 0.000 r 8.16 38.402 0.001 26 2.3184 0.086 0.079 0.245 0.227 39.520545 0.0133 0.124484 0.001159 3.833 0.000 298.461 0.010 8.437 0.041 38191.667 16.937 27.475 15.512 2455860.77825 3.52 K11Uf0Z +res N 3 2 I mal32 23.77 0.033 r 7.91 38.548 0.001 25 2.0862 0.076 0.080 0.281 0.252 39.600536 0.0056 0.043646 0.000750 14.900 0.001 13.374 0.001 322.525 0.612 43039.790 131.718 26.307 15.687 2455860.78262 3.42 K11Uf1B +res N 4 1 S mal33 24.20 0.100 r 8.34 38.569 0.003 17 1.4228 0.063 0.090 0.131 0.205 75.785556 0.0220 0.491166 0.000149 13.435 0.001 231.961 0.002 160.345 0.495 56178.002 98.469 27.269 16.537 2455860.80517 3.21 K11Uf1P +res N 5 3 S mal34 24.27 0.088 r 8.36 39.189 0.002 16 1.4340 0.086 0.091 0.216 0.263 42.223676 0.0047 0.071898 0.000092 1.974 0.000 308.534 0.043 82.373 2.385 56151.282 572.392 26.861 13.224 2455858.91621 3.26 K11Uf1L +res N 3 2 S mal35 21.50 0.000 r 5.57 39.355 0.001 27 4.1122 0.045 0.096 0.097 0.207 39.512594 0.0040 0.178507 0.000226 13.497 0.000 19.795 0.000 109.099 0.017 75569.660 6.173 26.827 13.695 2455858.91621 3.36 K11Uf0T +cla m -1 -1 I mal36 24.60 0.173 r 8.65 39.507 0.003 12 1.1468 0.090 0.118 0.166 0.311 46.250117 0.0110 0.147643 0.000843 2.956 0.001 252.563 0.024 146.427 2.231 58270.138 519.823 25.905 12.975 2455858.92047 3.26 K11Uf2A +cla m -1 -1 I mal37 24.23 0.133 r 8.27 39.653 0.002 23 1.3793 0.118 0.137 0.275 0.353 42.432680 0.0185 0.098398 0.002359 7.210 0.001 24.163 0.002 315.718 1.041 43456.458 209.011 30.125 13.445 2455858.90337 3.27 K11Uf1X +cla m -1 -1 IH mal38 24.40 0.153 r 8.35 40.339 0.002 27 1.4309 0.123 0.099 0.313 0.249 45.382779 0.0219 0.131928 0.001813 10.729 0.001 231.692 0.002 124.064 1.022 46961.974 225.627 29.765 15.901 2455860.81804 3.36 K11Uf2M +cla m -1 -1 S mal39 23.80 0.058 r 7.74 40.517 0.002 26 1.4723 0.098 0.067 0.230 0.145 43.408021 0.0058 0.070503 0.000850 3.132 0.001 337.472 0.019 32.829 1.774 50639.411 441.022 27.930 14.237 2455858.93329 3.19 K11Uf2C +cla m -1 -1 S mal40 23.13 0.033 r 7.03 40.875 0.002 24 1.4339 0.066 0.064 0.291 0.162 43.048298 0.0116 0.070517 0.001847 7.737 0.001 14.293 0.003 329.394 1.353 43929.543 313.333 27.994 13.942 2455858.93329 3.17 J99RL5U +cla i -1 -1 S mal41 24.47 0.067 r 8.36 40.960 0.004 13 1.2892 0.059 0.075 0.164 0.206 38.960081 0.0183 0.057848 0.002627 20.411 0.002 216.340 0.001 325.615 5.440 93092.918 1343.401 25.278 13.703 2455858.92047 3.13 K11Uf2N +cla m -1 -1 S mal42 22.57 0.033 r 6.43 41.288 0.002 23 1.3795 0.070 0.119 0.191 0.387 44.061145 0.0047 0.063950 0.000495 2.122 0.002 8.325 0.019 34.887 2.643 58648.018 686.860 30.029 13.190 2455858.90337 3.13 K01RE3Z +cla m -1 -1 S mal43 24.07 0.033 r 7.92 41.355 0.002 23 1.4340 0.123 0.079 0.228 0.201 43.362997 0.0132 0.066840 0.002121 4.419 0.001 20.174 0.004 323.075 1.529 43238.873 359.215 29.926 13.229 2455858.90337 3.15 K11Uf1V +cla m -1 -1 S mal44 24.17 0.033 r 8.01 41.372 0.002 22 1.4313 0.077 0.091 0.177 0.246 42.603289 0.0268 0.116416 0.002709 15.118 0.002 21.517 0.001 94.399 0.213 75304.677 12.265 30.145 15.790 2455860.76973 3.17 K11Uf2H +res N 3 2 S mal45 23.07 0.033 r 6.90 41.480 0.001 28 2.2668 0.064 0.061 0.264 0.191 39.212242 0.0272 0.288434 0.001143 15.700 0.001 19.081 0.001 131.877 0.109 77058.855 44.885 29.485 16.301 2455860.81804 3.20 K11Uf1D +cla m -1 -1 I mal46 24.53 0.167 r 8.37 41.526 0.002 20 1.4340 0.090 0.114 0.264 0.299 43.839053 0.0391 0.165471 0.002631 4.529 0.002 18.484 0.005 94.657 0.169 74173.180 14.681 30.075 13.468 2455858.90337 3.28 K11Uf1W +res N 2 1 S mal47 24.57 0.133 r 8.33 41.987 0.001 21 3.9566 0.147 0.080 0.365 0.194 47.693004 0.0084 0.141996 0.000276 10.691 0.000 238.834 0.001 114.086 0.110 46437.643 25.154 26.561 16.561 2455860.80517 3.02 K11Uf1G +cla m -1 -1 S mal48 23.83 0.033 r 7.57 42.436 0.002 33 1.4313 0.082 0.095 0.229 0.306 46.451000 0.0339 0.155030 0.002303 2.496 0.000 303.964 0.028 24.904 0.407 40158.170 58.463 29.832 14.893 2455860.76973 3.07 K11Uf2G +cla m -1 -1 I mal49 23.73 0.033 r 7.41 42.833 0.002 21 1.4395 0.071 0.104 0.170 0.195 43.028360 0.0215 0.083076 0.002884 10.371 0.002 239.455 0.005 60.139 0.104 32305.258 103.291 27.842 16.754 2455860.80951 3.07 K11Uf2L +cla m -1 -1 S mal50 24.30 0.200 r 7.98 42.997 0.002 17 1.4338 0.057 0.071 0.157 0.193 42.030971 0.0066 0.029441 0.001841 29.757 0.002 27.031 0.000 147.942 4.534 94556.742 1254.021 28.820 14.932 2455860.77399 3.12 K11Uf2J +cla m -1 -1 S mal51 23.97 0.088 r 7.64 43.191 0.002 25 1.4423 0.101 0.052 0.245 0.119 44.217924 0.0151 0.064180 0.002442 1.907 0.000 309.431 0.040 154.113 0.723 75286.666 137.994 28.659 13.809 2455858.90763 2.99 K11Uf1Y +cla m -1 -1 S mal52 24.30 0.000 r 7.95 43.301 0.002 24 1.4723 0.105 0.099 0.262 0.256 43.940956 0.0082 0.030894 0.002452 1.694 0.001 357.000 0.029 98.659 2.328 73617.814 599.391 29.882 13.259 2455858.90337 2.99 K11Uf1U +cla m -1 -1 S mal53 23.20 0.000 r 6.74 44.397 0.001 25 4.1122 0.121 0.120 0.259 0.291 45.413690 0.0039 0.052319 0.000331 5.496 0.000 358.348 0.003 100.405 0.214 75027.845 53.039 28.178 14.852 2455858.93329 2.94 K11Uf2D +cla m -1 -1 S mal54 24.27 0.033 r 7.75 44.937 0.005 17 1.2809 0.100 0.105 0.202 0.221 43.495764 0.0186 0.055618 0.005116 15.311 0.002 14.512 0.002 245.796 4.194 19787.907 1227.682 25.362 14.784 2455858.92476 2.99 K11Uf2B +cla m -1 -1 S mal55 24.27 0.033 r 7.74 45.158 0.002 22 1.4504 0.061 0.098 0.124 0.269 45.535456 0.0143 0.053150 0.002964 1.214 0.000 315.356 0.069 352.167 0.320 31494.864 18.823 29.187 13.224 2455858.90763 2.83 K11Uf1Z +cla m -1 -1 S mal56 24.40 0.000 r 7.82 45.576 0.004 12 1.1466 0.080 0.090 0.153 0.227 45.069927 0.0169 0.011888 0.002565 2.146 0.000 313.968 0.066 277.782 41.184 6484.545 12639.352 30.198 14.597 2455858.94181 2.94 K11Uf2F +cla o -1 -1 I mal57 24.13 0.088 r 7.49 46.124 0.003 15 1.4395 0.115 0.103 0.286 0.257 48.080094 0.0726 0.182727 0.003915 17.822 0.002 224.314 0.002 79.714 0.046 33180.331 87.605 28.825 15.946 2455860.81377 2.98 K11Uf2T +cla m -1 -1 I mal58 24.40 0.100 r 7.74 46.661 0.004 16 1.4501 0.093 0.084 0.176 0.184 47.879267 0.0788 0.160826 0.004845 2.606 0.002 5.095 0.021 116.380 0.044 79920.003 123.636 28.917 13.103 2455858.90763 2.81 K11Uf2S +cla m -1 -1 S mal59 23.27 0.033 r 6.44 48.245 0.003 26 1.4339 0.084 0.112 0.221 0.301 43.495625 0.0053 0.111878 0.000549 22.799 0.002 218.117 0.000 5.580 1.448 7508.573 419.189 30.111 14.586 2455858.94181 2.84 K11Uf2E +res N 5 3 S mal60 24.07 0.088 r 7.23 48.408 0.007 12 1.2891 0.063 0.098 0.150 0.265 42.222091 0.0142 0.146728 0.000412 9.385 0.003 11.445 0.006 196.753 3.581 104918.269 986.116 27.424 14.695 2455858.93329 2.76 K11Uf1M +res N 5 2 I mal61 24.53 0.067 r 7.45 51.239 0.004 20 1.4338 0.088 0.132 0.221 0.242 55.668479 0.2748 0.406186 0.005081 6.420 0.002 4.876 0.011 130.185 0.159 79336.444 140.708 28.610 14.909 2455860.77399 2.61 K11Uf1T +res N 3 1 I mal62 23.90 0.000 r 6.75 52.005 0.002 25 1.4396 0.074 0.079 0.150 0.177 62.442250 0.2131 0.404531 0.003525 40.400 0.002 215.504 0.000 263.654 0.018 78060.666 65.762 27.736 15.359 2455860.77825 2.68 K11Uf1Q diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL6l-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL6l-smooth.eff new file mode 100644 index 0000000..e1285bd --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL6l-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.1 -0.7 17.1 +# +mag_error= 0.20 0.34 23.1 0.0 23.4 -0.6 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.0 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7043254 22.9666500 2.2559040 0.5284785 +# +# Limiting magnitude of the block +mag_lim= 22.37 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL6r-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL6r-smooth.eff new file mode 100644 index 0000000..02e9418 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL6r-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.1 -25.9 17.7 +# +mag_error= 0.06 0.29 24.5 0.5 23.8 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.1 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7548555 24.0922600 0.7971879 0.2173410 +# +# Limiting magnitude of the block +mag_lim= 23.89 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL7a-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL7a-smooth.eff new file mode 100644 index 0000000..36fb33b --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL7a-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 5.7 27.2 20.6 +# +mag_error= 0.06 0.30 24.3 0.3 23.5 -0.5 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.7 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8075634 23.7355400 0.6376818 0.2137201 +# +# Limiting magnitude of the block +mag_lim= 23.58 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL7b-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL7b-smooth.eff new file mode 100644 index 0000000..6ee6aab --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL7b-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 5.4 11.9 21.9 +# +mag_error= 0.06 0.36 23.7 0.2 23.0 -0.5 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.1 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7842286 23.1307500 0.8299735 0.3304917 +# +# Limiting magnitude of the block +mag_lim= 22.89 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL7c-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL7c-smooth.eff new file mode 100644 index 0000000..894bdb6 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL7c-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 5.8 16.6 19.7 +# +mag_error= 0.03 0.33 24.5 0.6 23.5 -0.5 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.9 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8300000 23.9000000 0.8000000 0.2500000 +# +# Limiting magnitude of the block +mag_lim= 23.72 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL7d-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL7d-smooth.eff new file mode 100644 index 0000000..92d8ecb --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL7d-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 4.6 0.6 26.3 +# +mag_error= 0.04 0.32 24.1 0.2 23.1 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8000000 23.5000000 0.6000000 0.4000000 +# +# Limiting magnitude of the block +mag_lim= 23.28 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL7e-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL7e-smooth.eff new file mode 100644 index 0000000..b3303a1 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL7e-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 4.7 0.9 26.1 +# +mag_error= 0.04 0.34 24.0 0.2 23.3 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.6 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8350000 23.6300000 0.7000000 0.2500000 +# +# Limiting magnitude of the block +mag_lim= 23.47 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL7j-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL7j-smooth.eff new file mode 100644 index 0000000..a4548d5 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL7j-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 5.6 -1.1 20.9 +# +mag_error= 0.06 0.31 24.0 0.1 23.3 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.7 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8203012 23.6612300 0.7696587 0.2401818 +# +# Limiting magnitude of the block +mag_lim= 23.49 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL7l-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL7l-smooth.eff new file mode 100644 index 0000000..2b5a3a2 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL7l-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.2 6.0 16.1 +# +mag_error= 0.06 0.44 24.4 0.5 23.3 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.6 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7807334 23.5570600 0.8784808 0.2453918 +# +# Limiting magnitude of the block +mag_lim= 23.35 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL7o-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL7o-smooth.eff new file mode 100644 index 0000000..f0af88e --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL7o-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.3 -13.4 14.6 +# +mag_error= 0.06 0.33 23.3 0.2 22.9 -0.5 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 22.8 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 1.2447450 22.8351500 7.6695250 0.3147754 +# +# Limiting magnitude of the block +mag_lim= 22.74 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL7p-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL7p-smooth.eff new file mode 100644 index 0000000..a47d112 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL7p-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.2 -24.3 17.0 +# +mag_error= 0.04 0.33 24.7 0.5 23.7 -0.6 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.0 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8044963 24.0281300 0.6931058 0.2429195 +# +# Limiting magnitude of the block +mag_lim= 23.85 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL7s-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL7s-smooth.eff new file mode 100644 index 0000000..1cd1957 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL7s-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.3 -19.6 15.7 +# +mag_error= 0.05 0.31 23.9 0.1 23.2 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.6 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8074985 23.5546300 0.6844909 0.2533396 +# +# Limiting magnitude of the block +mag_lim= 23.38 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL8a-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL8a-smooth.eff new file mode 100644 index 0000000..16e2d61 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL8a-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.6 6.6 36.1 14.0 +# +mag_error= 0.05 0.31 24.36 0.4 23.66 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.9 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8006741 23.9021700 0.6118510 0.1740703 +# +# Limiting magnitude of the block +mag_lim= 23.76 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL8b-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL8b-smooth.eff new file mode 100644 index 0000000..3aec8b4 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL8b-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.6 6.6 40.0 14.0 +# +mag_error= 0.06 0.26 23.5 0.3 23.3 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 23.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8243651 23.5274400 1.1549520 0.4392962 +# +# Limiting magnitude of the block +mag_lim= 23.24 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL8h-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL8h-smooth.eff new file mode 100644 index 0000000..b869831 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL8h-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.2 20.6 15.2 +# +mag_error= 0.05 0.31 24.51 0.4 23.81 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.1 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7750316 24.1237500 0.8642930 0.2478390 +# +# Limiting magnitude of the block +mag_lim= 23.91 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL8i-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL8i-smooth.eff new file mode 100644 index 0000000..fe7a683 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL8i-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.3 22.8 14.7 +# +mag_error= 0.05 0.31 24.91 0.4 24.21 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8100000 24.4700000 0.8000000 0.2000000 +# +# Limiting magnitude of the block +mag_lim= 24.31 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL8k-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL8k-smooth.eff new file mode 100644 index 0000000..6b387c0 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL8k-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.4 28.7 12.3 +# +mag_error= 0.05 0.31 25.23 0.4 24.53 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.8 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7926344 24.8080000 0.9970490 0.1864885 +# +# Limiting magnitude of the block +mag_lim= 24.63 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL8l-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL8l-smooth.eff new file mode 100644 index 0000000..a31acfd --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL8l-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.3 25.9 12.9 +# +mag_error= 0.05 0.31 24.75 0.4 24.05 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.4 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7658910 24.3551800 0.9999816 0.2038589 +# +# Limiting magnitude of the block +mag_lim= 24.15 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL8m-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL8m-smooth.eff new file mode 100644 index 0000000..243148a --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL8m-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.1 9.1 17.0 +# +mag_error= 0.05 0.31 24.86 0.4 24.16 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7695928 24.4581400 0.7177849 0.2430487 +# +# Limiting magnitude of the block +mag_lim= 24.26 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL8n-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL8n-smooth.eff new file mode 100644 index 0000000..4d0b9c1 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL8n-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 6.1 8.2 17.3 +# +mag_error= 0.05 0.31 25.40 0.4 24.70 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.9 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.8044370 24.9387500 0.8647624 0.1480772 +# +# Limiting magnitude of the block +mag_lim= 24.80 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL8o-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL8o-smooth.eff new file mode 100644 index 0000000..bc82c15 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL8o-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 5.8 1.7 19.4 +# +mag_error= 0.03 0.26 24.5 0.5 24.3 -0.4 +# +phot_frac= 0. 0.08 0.92 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.7661330 24.4503400 0.7292022 0.2353008 +# +# Limiting magnitude of the block +mag_lim= 24.26 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL901-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL901-smooth.eff new file mode 100644 index 0000000..b6c832b --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL901-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.15 0.4 24.45 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.885563 24.731524 1.251577 0.270272 +# +# Limiting magnitude of the block +mag_lim= 24.55 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL902-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL902-smooth.eff new file mode 100644 index 0000000..59e7a8c --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL902-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.23 0.4 24.53 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.898088 24.768938 1.308583 0.185456 +# +# Limiting magnitude of the block +mag_lim= 24.63 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL903-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL903-smooth.eff new file mode 100644 index 0000000..0e7f7d5 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL903-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.12 0.4 24.42 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.890248 24.664196 0.976620 0.217743 +# +# Limiting magnitude of the block +mag_lim= 24.52 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL904-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL904-smooth.eff new file mode 100644 index 0000000..dabf575 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL904-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.96 0.4 24.26 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.872440 24.498099 0.937454 0.188283 +# +# Limiting magnitude of the block +mag_lim= 24.36 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL905-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL905-smooth.eff new file mode 100644 index 0000000..cc55a5b --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL905-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.11 0.4 24.41 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.886419 24.646720 1.078918 0.195211 +# +# Limiting magnitude of the block +mag_lim= 24.51 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL906-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL906-smooth.eff new file mode 100644 index 0000000..eb10189 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL906-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.24 0.4 23.54 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.826214 23.879625 0.807730 0.405490 +# +# Limiting magnitude of the block +mag_lim= 23.64 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL907-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL907-smooth.eff new file mode 100644 index 0000000..7c8733c --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL907-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.60 0.4 23.90 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.830165 24.224074 0.981876 0.331268 +# +# Limiting magnitude of the block +mag_lim= 24.00 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL908-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL908-smooth.eff new file mode 100644 index 0000000..f41faa9 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL908-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.79 0.4 24.09 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.855383 24.410583 1.033837 0.348987 +# +# Limiting magnitude of the block +mag_lim= 24.19 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL909-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL909-smooth.eff new file mode 100644 index 0000000..df2cb21 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL909-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.64 0.4 23.94 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.835511 24.287143 1.040664 0.382423 +# +# Limiting magnitude of the block +mag_lim= 24.04 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL910-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL910-smooth.eff new file mode 100644 index 0000000..d6407fe --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL910-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.94 0.4 24.24 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.831882 24.595210 1.398189 0.327308 +# +# Limiting magnitude of the block +mag_lim= 24.34 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL911-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL911-smooth.eff new file mode 100644 index 0000000..90a1cfa --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL911-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.93 0.4 24.23 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.827337 24.582428 1.233999 0.342477 +# +# Limiting magnitude of the block +mag_lim= 24.33 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL912-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL912-smooth.eff new file mode 100644 index 0000000..14ef780 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL912-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.06 0.4 24.36 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.805538 24.746193 1.391453 0.351113 +# +# Limiting magnitude of the block +mag_lim= 24.46 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL913-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL913-smooth.eff new file mode 100644 index 0000000..e71c5e2 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL913-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.75 0.4 24.05 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.819009 24.405157 1.033049 0.388813 +# +# Limiting magnitude of the block +mag_lim= 24.15 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL914-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL914-smooth.eff new file mode 100644 index 0000000..f6992f1 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL914-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.09 0.4 24.39 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.795576 24.758349 1.487361 0.298124 +# +# Limiting magnitude of the block +mag_lim= 24.49 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL915-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL915-smooth.eff new file mode 100644 index 0000000..07e450f --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL915-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.58 0.4 23.88 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.789216 24.241030 1.240080 0.303785 +# +# Limiting magnitude of the block +mag_lim= 23.98 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL916-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL916-smooth.eff new file mode 100644 index 0000000..2fd0ba5 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL916-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.66 0.4 23.96 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.842853 24.314676 1.209286 0.389630 +# +# Limiting magnitude of the block +mag_lim= 24.06 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL917-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL917-smooth.eff new file mode 100644 index 0000000..7019511 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL917-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.78 0.4 24.08 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.830261 24.434144 1.243348 0.348062 +# +# Limiting magnitude of the block +mag_lim= 24.18 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL918-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL918-smooth.eff new file mode 100644 index 0000000..b8b1012 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL918-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.25 0.4 24.55 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.795576 24.919935 1.487361 0.298124 +# +# Limiting magnitude of the block +mag_lim= 24.65 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL919-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL919-smooth.eff new file mode 100644 index 0000000..517a1f0 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL919-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.62 0.4 23.92 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.801055 24.300647 1.434612 0.327268 +# +# Limiting magnitude of the block +mag_lim= 24.02 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL920-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL920-smooth.eff new file mode 100644 index 0000000..ea70fce --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL920-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.44 0.4 23.74 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.826214 24.079425 0.807730 0.405490 +# +# Limiting magnitude of the block +mag_lim= 23.84 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL921-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL921-smooth.eff new file mode 100644 index 0000000..d8f3548 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL921-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 25.10 0.4 24.40 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.879677 24.675781 1.275484 0.253514 +# +# Limiting magnitude of the block +mag_lim= 24.50 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/HL922-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/HL922-smooth.eff new file mode 100644 index 0000000..36dc62a --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/HL922-smooth.eff @@ -0,0 +1,27 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.5 20 35 55 +# +mag_error= 0.05 0.31 24.84 0.4 24.14 -0.4 +# +phot_frac= 0.033 0.117 0.850 +# +track_frac= 1.0 24.5 -0.25 +# +filter= r +# +rates= 0.00 50.00 +function= double +double_param= 0.789216 24.504980 1.240080 0.303785 +# +# Limiting magnitude of the block +mag_lim= 24.24 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/L3h-smooth.eff b/src/ossssim/Characterizations/All_r_Surveys/L3h-smooth.eff new file mode 100644 index 0000000..4e83795 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/L3h-smooth.eff @@ -0,0 +1,26 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.2 23.6 18.0 +# +mag_error= 0.030 0.28 24.0 0.9 23.3 -0.1 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.1 -0.25 +# +filter= r +# +rates= 0.00 20.00 +function= double +double_param= 0.901 23.865 0.799 0.244 +# +# Limiting magnitude of the block +mag_lim= 23.73 diff --git a/src/ossssim/Characterizations/All_r_Surveys/README.allrsurveys b/src/ossssim/Characterizations/All_r_Surveys/README.allrsurveys new file mode 100644 index 0000000..a06adb6 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/README.allrsurveys @@ -0,0 +1,47 @@ + +README.allrsurveys + +COMBINED SURVEY ANALYSIS + +This subdir contains the COMBINED OSSOS, CFEPS, HiLat and Mike A surveys, +limited to detections acquired with the 'r' filter. +Mostly this is the union of the detection lists for all surveys and the +union of all the block characterizations into a single pointing-list file. + +This subdir provides a sample that avoids the problem of multiple bands at +detections mentioned in All_Surveys. This is done at the expense of dropping +most of CFEPS objects, only keeping L3h objects, and cnosequantly decreasing +the surveyed area. But the avoids the complication of having to deal with +magnitudes in different bands and the effect of unknown colors. + +-------------------------------------------------------------------------------- + +This directory contains the pointing history, efficiency functions for each +block, and the list of detected objects, in two files for all surveys +(All_r_Surveys.detections and All_r_Surveys.CDS). + +The content of this directory is: + +All_r_Surveys + \---- README.allsurveys (this file) Describes content of the directory + \--------- README.format Describes format of a survey "block" + \-------- pointings.list List of pointings and times of the + | survey, often grouped into chunks. + \------- LnX-smooth.eff Efficiency function for CFEPS block. + \------ presurvey-smooth.eff Efficiency function for presurvey + \----- HLn*-smooth.eff Efficiency function for HiLat + \---- ma*.eff Efficiency function for Mike A. + \--- 201ySn.eff Efficiency functions for OSSOS blocks, + | where y gives the year (201y), S (a + | single letter) semester, and n the + | block name (eg, E, O, L, H, P, M, S, T, + | D, C) + \- All_r_Surveys_v11.detections List of objects really detected in + | OSSOS, MA, CFEPS and HiLat, with their + | dynamical class if known, magnitude at + | detection, rate of motion, + | H mag, and more. + \- All_r_Surveys_v11.CDS Same as All_r_Surveys_v11.detections, + in CDS format. + +-------------------------------------------------------------------------------- diff --git a/src/ossssim/Characterizations/All_r_Surveys/Template.eff b/src/ossssim/Characterizations/All_r_Surveys/Template.eff new file mode 100644 index 0000000..19a6d58 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/Template.eff @@ -0,0 +1,121 @@ +# This is a sample efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value +# (see below). +# +# Although it is not mendatory, we can try to group the parameters logically. +# +# First define the rate cut used for detection with a line +# "rate_cut= " +# +# : Lower rate cut (" arc/hour) +# : Upper rate cut (" arc/hour) +# : Mean direction of motion (degrees from due West) +# : Half-width of direction cone (degrees) +# +rate_cut= 0.50 5.38 -21.050 15.62 +# +# Second define the magnitude error. +# First 4 parameters define the growth of the uncertainty: +# - alpha = log10(mag_er(2)/mag_er(1))/(mag_er(3)-21) +# - for mag < mag_er(3), mag_er(1)*10.**(alpha*(mag - 21)) +# - for mag > mag_er(3), mag_er(1)*10.**(alpha*(mag_er(3) - 21)) +# - (mag - mag_er(3))*mag_er(4) +# The last 2 parameters determine the asymmetry of the error +# - for mag < mag_er(5), center = 0. +# - for mag > mag_er(5), center = (mag - mag_er(5))*mag_er(6) +# +mag_error= 0.013 0.17 24.9 0.5 24.2 -0.2 +# +# Define the fraction of objects with 1, 2 or 3 photometric measurements use to +# determine the official magnitude +# : fraction of objects with only 1 measurement +# : fraction of objects with 2 measurements +# : fraction of objects with 3 measurements +# +phot_frac= 0.033 0.117 0.850 +# +# Now define the tracking fraction as a function of magnitude +# The fraction of objects tracked = min(track_max, +# 1 + (mag - track_mag)*track_slope) +# For the presurvey the drop is at 23.8 to 0 instantly.... +# +# BEWARE: this needs to be modified together with the limiting magnitude if one +# wants to simulate a deeper survey. +# +track_frac= 1.0 25.35 -5.00 +# +# The survey simulator (SSim) has the ability to deal with magnitudes in +# various band filters, so we define the filter used for that particular +# pointing. +# Here the filter is given by a letter, but will be translated into an integer +# in the SSim in order to access the correct magnitude of the object that is +# passed as an array. Correspondance table: +# g -> 1 +# r -> 2 +# i -> 3 +# z -> 4 +# u -> 5 +# B -> 6 +# V -> 7 +# R -> 8 +# I -> 9 +# +filter= r +# +# Here things become tricky. We first define the rate range the following +# efficiency is defined for. +# +# Rate range is defined as "rates= " +# +rates= 0.50 2.06 +# +# Now we define the type of functional form used to define the efficiency by +# "function= ", where is: +# +# : single hyperbolic tangent +# : double hyperbolic tangent +# : piecewise linear function +# : (eff_max-c*(m-21)**2)/(1+exp((m-M_0)/sig)) +# : a look-up table +# +# Parameters are then given by "= [ [...]]". +# More specifically, we have: +# +# "linear_param= " +# "single_param= " +# "double_param= " +# "square_param= " +# +# For the look-up table, there will be as many lines as entries in the look-up +# table: +# "lookup_param= " +# "lookup_param= " +# "..." +# +# : magnitude of the center of the bin +# : efficiency for that magnitude, in range [0, 1] +# +# All "lookup_param= ..." lines must be consecutive, not even a comment line in +# between. The list ends up at the first non-"lookup_param= ..." line. +# +# All the "func_typ_param= ..." lines must be the first non-comment lines after +# the "function= ..." line. +# +function= double +# +double_param= 0.93086964 24.734407 0.69756073 0.22470799 +# +rates= 2.06 3.72 +function= double +double_param= 0.88791895 24.727974 0.65072048 0.24242181 +# +rates= 3.72 5.38 +function= double +double_param= 0.87152964 24.704845 0.28593567 0.58923745 +# +# Limiting magnitude of the block +mag_lim= 24.04 diff --git a/src/ossssim/Characterizations/All_r_Surveys/TotalAreaOSSOS b/src/ossssim/Characterizations/All_r_Surveys/TotalAreaOSSOS new file mode 100644 index 0000000..0ef99a4 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/TotalAreaOSSOS @@ -0,0 +1,5 @@ +# Nominal footprint of OSSOS (E+O+L+H+P+M+S+T+D+C) and actual surveyed area +# (pixel searched) +# +21.+21.+20.+21.+21.6544+21.6544+10.8272+10.8272+8.66178+12.99267 +21.*0.9079+21.*0.9055+20.*0.9151+21.*0.9103+21.6544*0.9186+21.6544*0.9211+10.8272*0.9223+10.8272*0.9223+8.66178*0.9211+12.99267*0.9215 diff --git a/src/ossssim/Characterizations/All_r_Surveys/ma11la.eff b/src/ossssim/Characterizations/All_r_Surveys/ma11la.eff new file mode 100644 index 0000000..e21d2b3 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/ma11la.eff @@ -0,0 +1,55 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 10.00 -21.050 15.62 +# +mag_error= 0.013 0.17 24.9 0.5 24.2 -0.2 +# +phot_frac= 0.026 0.156 0.818 +# +track_frac= 1.000 24.421 -2.453 +# +filter= r +# +rates= 0.50 2.06 +function= square +square_param= 0.949881315 1.35535756E-02 24.6197796 0.126009449 +# Goodness of fit (reduced chi^2): 1.299 +# Limiting magnitude of the block +mag_lim= 24.62 +# +rates= 2.06 3.72 +function= square +square_param= 0.921203673 1.26445778E-02 24.6113796 0.136990249 +# Goodness of fit (reduced chi^2): 1.423 +# Limiting magnitude of the block +mag_lim= 24.61 +# +rates= 3.72 5.38 +function= square +square_param= 0.901384294 1.02973068E-02 24.5602989 0.146653786 +# Goodness of fit (reduced chi^2): 0.659 +# Limiting magnitude of the block +mag_lim= 24.57 +# +rates= 5.38 6.40 +function= square +square_param= 0.993546128 4.81119640E-02 24.5993443 6.69738501E-02 +# Goodness of fit (reduced chi^2): 1.300 +# Limiting magnitude of the block +mag_lim= 24.42 +# +rates= 6.40 10.00 +function= square +square_param= 0.786008000 1.34810088E-02 24.3750610 0.137408525 +# Goodness of fit (reduced chi^2): 0.796 +# Limiting magnitude of the block +mag_lim= 24.37 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/ma12ha.eff b/src/ossssim/Characterizations/All_r_Surveys/ma12ha.eff new file mode 100644 index 0000000..ce59f9b --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/ma12ha.eff @@ -0,0 +1,41 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 10.36 -20.655 19.335 +# +mag_error= 0.026 0.17 24.9 0.3 24.3 -0.3 +# +phot_frac= 0.026 0.156 0.818 +# +track_frac= 0.965 24.544 -1.494 +# +filter= r +# +rates= 0.50 1.00 +function= square +square_param= 1.00177896 3.54992263E-02 24.6771965 8.01343620E-02 +# Goodness of fit (reduced chi^2): 1.220 +# Limiting magnitude of the block +mag_lim= 24.59 +# +rates= 1.00 6.00 +function= square +square_param= 0.910572529 1.46200368E-02 24.6077938 0.119519040 +# Goodness of fit (reduced chi^2): 0.847 +# Limiting magnitude of the block +mag_lim= 24.60 +# +rates= 6.00 10.36 +function= square +square_param= 0.881355107 1.36201698E-02 24.4823380 0.129530221 +# Goodness of fit (reduced chi^2): 1.038 +# Limiting magnitude of the block +mag_lim= 24.48 +# diff --git a/src/ossssim/Characterizations/All_r_Surveys/pointings-area.list b/src/ossssim/Characterizations/All_r_Surveys/pointings-area.list new file mode 100644 index 0000000..8a5b97b --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/pointings-area.list @@ -0,0 +1,483 @@ +# This is the OSSOS survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# For Megaprime, the 36 CCDs are 2048x4612 with pixels 0.18689x0.18689", so +# assuming a total footprint of 1 sq.deg, the filling factor is 0.9164 +# +# 2013A-E block +# +# From JJ's e-mail on Dec. 2nd, 2014, there were 7 chips out of 756 that had +# a PSF problem, thus the pipeline did not run to the end. All other cases +# had good trans.jmp files and completed correctly. So effective surface +# area is 749/756 = 99.07%, so filling factor is 0.9907*0.9164=0.9079 +# +21.00 14:15:28.89 -12:32:28.5 2456391.86686 0.9079 500 2013AE.eff +# +# 2013A-O block +# +# From my own work and from JJ's e-mail from Nov. 30th, 2014, there were 9 +# chips out of 756 which had bad trans.jmp files. So the effective search area +# was 747/756 = 98.81% of the total area, so the filling factor is +# 0.9881*0.9164 = 0.9055 +# +21.00 15:58:01.35 -12:19:54.2 2456420.95956 0.9055 500 2013AO.eff +# +# 2013B-L block +# +# From checking the vtags of Lblock_redo, only 20 fields were searched, and out +# of the 720 chips, 1 had problems at step2 which propaged to step3 and +# combine. So effective surface area is 719/720 = 99.86% of the total area, so +# filling factor is 0.9986*0.9164 = 0.9151 +# +# Here we use the 'polygon search' feature. Make sure we remove the 1 +# sq.deg. field that was not searched, at the bottom of the central column. +# +20.00 00:52:55.81 +03:43:49.1 2456596.72735 0.9151 500 2013BL.eff +# +# 2014B-H block +# +# From checking the vtags of Hblock, I find only 751 chips successful out of +# 756 (my e-mail to JJ from Nov. 30, 2015). In the same time, JJ find only 2 +# faulty chips. Until I get an answer from him, I'll stick to my findings. +# So effective surface area is 751/756 = 99.34% of the total area, so +# filling factor is 0.9986*0.9164 = 0.9103 +# +# This is using the new feature (as of 2016-03-09) of polygons to describe the +# footprint of the block. +# +21.00 01:35:14.39 +13:28:25.3 2456952.77017 0.9103 500 2014BH.eff +# +# 2015A-P block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 2 out of 800 chips failed, so effective area is +# 798/800 = 0.9975 = 99.75% of the total area, so filling factor becomes +# 0.99875*0.9297 = 0.9274. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994446 so the factor is 1./1.005554 +# So the filling factor is 0.9975*0.9297/1.005554 = 0.9223. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*798/1.005554 = 19.89139 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.89139/21.6544 = 0.9186 +# +21.65 13:30:22.11 -07:47:23.0 2457125.86971 0.9186 500 2015AP.eff +# +# 2015A-M block +# +# This is a block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, 0 out of 800 chips failed, so effective area is +# 800/800 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994672 so the factor is 1./1.005328 +# So the filling factor is 1.0*0.9297/1.005328 = 0.9248. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*800/1.005328 = 19.94573 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.94573/21.6544 = 0.9211 +# +21.65 15:34:41.30 -12:08:36.0 2457163.81831 0.9211 500 2015AM.eff +# +# 2015B-S block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995995 so the factor is 1./1.004005 +# So the filling factor is 1.0*0.9297/1.004005 = 0.92599. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004005 = 9.98601 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98601/10.8272 = 0.9223 +# +10.83 00:30:08.35 +06:00:09.5 2457274.92965 0.9223 500 2015BS.eff +# +# 2015B-T block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995991 so the factor is 1./1.004009 +# So the filling factor is 1.0*0.9297/1.004009 = 0.9260. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004009 = 9.98597 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98597/10.8272 = 0.9223 +# +10.83 00:30:08.35 +04:02:04.5 2457273.92965 0.9223 500 2015BT.eff +# +# 2015B-D block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 320 chips failed, so effective area is +# 320/320 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994686 so the factor is 1./1.005314 +# So the filling factor is 1.0*0.9297/1.005314 = 0.92479. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*320/1.005314 = 7.97840 +# sq.deg. +# +# In the following, the total surface area is 2*1.0887916*(2.3866217+1.5910813) +# = 8.66178 sq.deg. So the final filling factor is effective area / total +# surface area = 7.97840/8.66178 = 0.9211 +# +#poly 4 03:08:30.88 +15:46:36.6 2457333.85377 0.9211 500 2015BD.eff +8.66 03:12:58.36 +16:16:06.4 2457333.85377 0.9211 500 2015BD.eff +# +# 2015B-C block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 480 chips failed, so effective area is +# 480/480 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995172 so the factor is 1./1.004828 +# So the filling factor is 1.0*0.9297/1.004828 = 0.92523. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*480/1.004828 = 11.97339 +# sq.deg. +# +# In the following, the total surface area is 2*1.6331874*(2.5855068+1.3921962) +# = 12.99267 sq.deg. So the final filling factor is effective area / total +# surface area = 11.97339/12.99267 = 0.9215 +# +12.99 03:19:52.10 +17:00:44.9 2457332.83884 0.9215 500 2015BC.eff +# +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +9.73 01:51:08.00 +15:51:48.0 2455860.843750 0.916 500 ma11la.eff +9.79 01:51:08.00 +13:54:00.0 2455858.963195 0.912 500 ma11la.eff +5.95 01:41:01.70 +28:10:00.0 2456220.904167 0.907 500 ma12ha.eff +5.95 01:49:58.30 +28:10:00.0 2456221.947917 0.907 500 ma12ha.eff +# +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# For Megaprime, the 36 CCDs are 2048x4612 with pixels 0.18689x0.18689", so +# assuming a total footprint of 1 sq.deg, the filling factor is 0.9164 +# +# L3h block +# +16.00 13:03:51.43 -06:47:24.4 2452755.8399121 0.81 500 L3h-smooth.eff +# +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# HL6l block 15 sq.deg. Initially 16 pointings, but 2 at the same place +6.00 18:14:00.00 -06:30:00.0 2453909.9164294 0.80 500 HL6l-smooth.eff +8.00 18:18:03.00 -06:30:00.0 2453909.9164294 0.80 500 HL6l-smooth.eff +1.00 18:14:00.00 -11:00:00.0 2453909.9164294 0.80 500 HL6l-smooth.eff +# +# HL6r block 16 sq.deg. +12.00 22:37:52.50 +07:35:00.0 2453996.9038535 0.80 500 HL6r-smooth.eff +4.00 22:35:58.48 +05:30:00.0 2453996.9038535 0.80 500 HL6r-smooth.eff +# +# HL7a block 32 sq.deg. +7.00 12:59:44.79 +61:15:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +8.00 13:01:41.93 +57:30:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +10.00 13:07:38.87 +53:00:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +7.00 13:16:52.99 +48:45:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +# +# HL7b block 32 sq.deg. +16.00 11:31:54.00 +39:30:00.0 2454182.9163265 0.88 500 HL7b-smooth.eff +16.00 11:33:40.00 +35:30:00.0 2454182.9163265 0.88 500 HL7b-smooth.eff +# +# HL7c block 32 sq.deg. +16.00 11:34:28.22 +31:30:15.0 2454180.9057794 0.89 500 HL7c-smooth.eff +16.00 11:32:22.08 +27:30:08.7 2454180.9057794 0.89 500 HL7c-smooth.eff +# +# HL7d block 32 sq.deg. +9.00 12:42:10.77 +62:45:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +10.00 12:46:11.82 +58:00:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +8.00 12:53:09.13 +53:30:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +5.00 13:01:00.78 +50:15:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +# +# HL7e block 32 sq.deg. +11.00 13:16:24.26 +58:15:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +8.00 13:20:16.94 +53:30:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +8.00 13:27:03.84 +49:30:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +5.00 13:34:50.13 +46:00:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +# +# HL7j block 32 sq.deg. +15.00 16:20:00.00 +17:00:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +8.00 16:23:09.35 +12:30:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +7.00 16:23:22.09 +07:30:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +2.00 16:25:00.00 +02:30:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +# +# HL7l block 27 sq.deg. +12.00 17:50:36.80 +20:00:00.0 2454263.9342620 0.90 500 HL7l-smooth.eff +15.00 17:44:18.00 +16:30:00.0 2454263.9342620 0.90 500 HL7l-smooth.eff +# +# HL7o block 32 sq.deg. +3.00 22:17:10.00 +13:00:00.0 2454332.7937039 0.90 500 HL7o-smooth.eff +4.00 22:14:35.00 +15:30:00.0 2454332.7937039 0.90 500 HL7o-smooth.eff +3.00 22:13:18.02 +18:00:45.7 2454332.7937039 0.90 500 HL7o-smooth.eff +22.00 22:10:00.02 +25:00:45.7 2454332.7937039 0.90 500 HL7o-smooth.eff +# +# HL7p block 32 sq.deg. +8.00 22:11:36.38 +12:30:33.0 2454349.7989514 0.84 500 HL7p-smooth.eff +10.00 22:06:24.38 +17:00:33.0 2454349.7989514 0.84 500 HL7p-smooth.eff +14.00 22:02:24.38 +25:00:33.0 2454349.7989514 0.84 500 HL7p-smooth.eff +# +# HL7s block 31 sq.deg. +3.00 23:56:04.32 +39:00:00.0 2454362.8066242 0.98 500 HL7s-smooth.eff +18.00 23:57:04.13 +28:30:00.0 2454362.8066242 0.98 500 HL7s-smooth.eff +10.00 00:02:02.70 +23:30:00.0 2454362.8066242 0.98 500 HL7s-smooth.eff +# +# HL8a block 30 sq.deg. +12.00 09:24:00.82 +66:30:00.0 2454473.8962679 0.90 500 HL8a-smooth.eff +18.00 09:23:12.32 +61:30:00.0 2454473.8962679 0.90 500 HL8a-smooth.eff +# +# HL8b block 25 sq.deg. +17.00 09:51:40.55 +63:45:00.0 2454474.9093352 0.90 500 HL8b-smooth.eff +4.00 09:45:47.70 +59:00:00.0 2454474.9093352 0.90 500 HL8b-smooth.eff +4.00 09:59:26.36 +57:30:00.0 2454474.9093352 0.90 500 HL8b-smooth.eff +# +# HL8h block 11 sq.deg. +1.00 16:33:11.28 +13:47:06.0 2454592.0612175 0.88 500 HL8h-smooth.eff +10.00 16:32:00.07 +09:35:00.0 2454592.0612175 0.88 500 HL8h-smooth.eff +# +# HL8i block 11 sq.deg. +5.00 16:37:30.00 +25:00:00.0 2454595.9743127 0.90 500 HL8i-smooth.eff +6.00 16:08:00.00 +26:00:00.0 2454595.9743127 0.90 500 HL8i-smooth.eff +# +# HL8k block 12 sq.deg. +9.00 17:34:52.33 +25:00:00.0 2454597.9723680 0.90 500 HL8k-smooth.eff +2.00 17:33:49.23 +23:00:00.0 2454597.9723680 0.90 500 HL8k-smooth.eff +1.00 17:36:58.07 +22:00:00.0 2454597.9723680 0.90 500 HL8k-smooth.eff +# +# HL8l block 13 sq.deg. +13.00 17:35:36.30 +19:15:00.0 2454599.9639675 0.90 500 HL8l-smooth.eff +# +# HL8m block 12 sq.deg. +6.00 16:56:57.59 +26:00:00.0 2454616.9307835 0.90 500 HL8m-smooth.eff +6.00 16:58:10.96 +20:30:00.0 2454616.9307835 0.90 500 HL8m-smooth.eff +# +# HL8n block 11 sq.deg. +10.00 16:53:21.57 +22:00:00.0 2454617.8623710 0.89 500 HL8n-smooth.eff +1.00 16:50:17.94 +28:00:00.0 2454617.8623710 0.89 500 HL8n-smooth.eff +# +# HL8o block 12 sq.deg. +12.10 16:48:12.00 +23:00:00.0 2454624.9487368 0.90 500 HL8o-smooth.eff +# +# HL9 block 219 sq.deg. +10.00 18:11:12.61 +47:34:30.0 2454994.97183 0.9164 500 HL902-smooth.eff + 6.00 18:35:37.61 +47:34:30.0 2454994.97183 0.9164 500 HL901-smooth.eff + 4.00 18:11:36.90 +49:05:54.0 2454994.97183 0.9164 500 HL901-smooth.eff +10.00 18:54:36.90 +49:05:54.0 2454994.97183 0.9164 500 HL903-smooth.eff +10.00 18:30:00.90 +50:06:14.0 2454994.97183 0.9164 500 HL904-smooth.eff +10.00 18:29:46.90 +51:06:34.0 2454994.97183 0.9164 500 HL905-smooth.eff +10.00 18:29:26.90 +52:07:04.0 2454994.97183 0.9164 500 HL906-smooth.eff +10.00 18:29:06.90 +53:07:34.0 2454994.97183 0.9164 500 HL907-smooth.eff +10.00 18:28:50.90 +54:07:54.0 2454994.97183 0.9164 500 HL908-smooth.eff +10.00 19:10:08.90 +52:07:04.0 2454994.97183 0.9164 500 HL909-smooth.eff +10.00 19:23:54.90 +52:07:04.0 2454994.97183 0.9164 500 HL910-smooth.eff + 9.00 18:05:20.00 +56:09:36.0 2454994.97183 0.9164 500 HL911-smooth.eff +10.00 18:53:20.00 +55:08:36.0 2454994.97183 0.9164 500 HL912-smooth.eff +10.00 18:53:40.00 +56:09:36.0 2454994.97183 0.9164 500 HL913-smooth.eff +10.00 18:53:52.00 +57:10:06.0 2454994.97183 0.9164 500 HL914-smooth.eff +10.00 18:34:46.38 +58:10:44.0 2454994.97183 0.9164 500 HL915-smooth.eff +10.00 18:34:37.38 +59:11:24.0 2454994.97183 0.9164 500 HL916-smooth.eff +10.00 18:34:19.38 +60:12:04.0 2454994.97183 0.9164 500 HL917-smooth.eff + 6.00 19:23:31.38 +59:11:24.0 2454994.97183 0.9164 500 HL918-smooth.eff + 1.00 17:58:54.78 +61:12:35.9 2454994.97183 0.9164 500 HL911-smooth.eff +10.00 18:45:20.78 +61:12:35.9 2454994.97183 0.9164 500 HL919-smooth.eff +10.00 18:52:26.63 +62:43:30.0 2454994.97183 0.9164 500 HL920-smooth.eff + 4.00 19:24:12.63 +62:43:30.0 2454994.97183 0.9164 500 HL918-smooth.eff + 9.00 18:54:11.17 +43:05:45.3 2455034.89755 0.9164 500 HL921-smooth.eff +10.00 19:01:11.17 +42:35:45.3 2455034.89755 0.9164 500 HL922-smooth.eff diff --git a/src/ossssim/Characterizations/All_r_Surveys/pointings.list b/src/ossssim/Characterizations/All_r_Surveys/pointings.list new file mode 100644 index 0000000..11f4785 --- /dev/null +++ b/src/ossssim/Characterizations/All_r_Surveys/pointings.list @@ -0,0 +1,537 @@ +# This is the OSSOS survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# For Megaprime, the 36 CCDs are 2048x4612 with pixels 0.18689x0.18689", so +# assuming a total footprint of 1 sq.deg, the filling factor is 0.9164 +# +# 2013A-E block +# +# From JJ's e-mail on Dec. 2nd, 2014, there were 7 chips out of 756 that had +# a PSF problem, thus the pipeline did not run to the end. All other cases +# had good trans.jmp files and completed correctly. So effective surface +# area is 749/756 = 99.07%, so filling factor is 0.9907*0.9164=0.9079 +# +poly 4 14:15:28.89 -12:32:28.5 2456391.86686 0.9079 500 2013AE.eff +-3.5 -0.434889 +-3.5 2.565111 + 3.5 0.473417 + 3.5 -2.526583 +# +# 2013A-O block +# +# From my own work and from JJ's e-mail from Nov. 30th, 2014, there were 9 +# chips out of 756 which had bad trans.jmp files. So the effective search area +# was 747/756 = 98.81% of the total area, so the filling factor is +# 0.9881*0.9164 = 0.9055 +# +poly 4 15:58:01.35 -12:19:54.2 2456420.95956 0.9055 500 2013AO.eff +-3.5 -0.862333 +-3.5 2.137667 + 3.5 0.915750 + 3.5 -2.084250 +# +# 2013B-L block +# +# From checking the vtags of Lblock_redo, only 20 fields were searched, and out +# of the 720 chips, 1 had problems at step2 which propaged to step3 and +# combine. So effective surface area is 719/720 = 99.86% of the total area, so +# filling factor is 0.9986*0.9164 = 0.9151 +# +# Here we use the 'polygon search' feature. Make sure we remove the 1 +# sq.deg. field that was not searched, at the bottom of the central column. +# +poly 8 00:52:55.81 +03:43:49.1 2456596.72735 0.9151 500 2013BL.eff +-3.5 -2.743222 +-3.5 0.256778 + 3.5 2.743222 + 3.5 -0.256778 + 0.5 -1.322397 + 0.5 -0.322397 +-0.5 -0.677603 +-0.5 -1.677603 +# +# 2014B-H block +# +# From checking the vtags of Hblock, I find only 751 chips successful out of +# 756 (my e-mail to JJ from Nov. 30, 2015). In the same time, JJ find only 2 +# faulty chips. Until I get an answer from him, I'll stick to my findings. +# So effective surface area is 751/756 = 99.34% of the total area, so +# filling factor is 0.9986*0.9164 = 0.9103 +# +# This is using the new feature (as of 2016-03-09) of polygons to describe the +# footprint of the block. +# +poly 4 01:35:14.39 +13:28:25.3 2456952.77017 0.9103 500 2014BH.eff +-3.5 -2.700361 +-3.5 0.299639 + 3.5 2.670528 + 3.5 -0.329472 +# +# 2015A-P block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 2 out of 800 chips failed, so effective area is +# 798/800 = 0.9975 = 99.75% of the total area, so filling factor becomes +# 0.99875*0.9297 = 0.9274. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994446 so the factor is 1./1.005554 +# So the filling factor is 0.9975*0.9297/1.005554 = 0.9223. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*798/1.005554 = 19.89139 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.89139/21.6544 = 0.9186 +# +poly 4 13:30:22.11 -07:47:23.0 2457125.86971 0.9186 500 2015AP.eff +-2.721979 -0.994426 +-2.721979 2.983277 + 2.721979 0.994426 + 2.721979 -2.983277 +# +# 2015A-M block +# +# This is a block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, 0 out of 800 chips failed, so effective area is +# 800/800 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994672 so the factor is 1./1.005328 +# So the filling factor is 1.0*0.9297/1.005328 = 0.9248. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*800/1.005328 = 19.94573 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.94573/21.6544 = 0.9211 +# +poly 4 15:34:41.30 -12:08:36.0 2457163.81831 0.9211 500 2015AM.eff +-2.721979 -0.994426 +-2.721979 2.983277 + 2.721979 0.994426 + 2.721979 -2.983277 +# +# 2015B-S block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995995 so the factor is 1./1.004005 +# So the filling factor is 1.0*0.9297/1.004005 = 0.92599. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004005 = 9.98601 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98601/10.8272 = 0.9223 +# +poly 4 00:30:08.35 +06:00:09.5 2457274.92965 0.9223 500 2015BS.eff +-2.721979 -1.98885125 +-2.721979 0. + 2.721979 1.98885125 + 2.721979 -0. +# +# 2015B-T block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995991 so the factor is 1./1.004009 +# So the filling factor is 1.0*0.9297/1.004009 = 0.9260. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004009 = 9.98597 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98597/10.8272 = 0.9223 +# +poly 4 00:30:08.35 +04:02:04.5 2457273.92965 0.9223 500 2015BT.eff +-2.721979 -1.98885125 +-2.721979 0. + 2.721979 1.98885125 + 2.721979 -0. +# +# 2015B-D block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 320 chips failed, so effective area is +# 320/320 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994686 so the factor is 1./1.005314 +# So the filling factor is 1.0*0.9297/1.005314 = 0.92479. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*320/1.005314 = 7.97840 +# sq.deg. +# +# In the following, the total surface area is 2*1.0887916*(2.3866217+1.5910813) +# = 8.66178 sq.deg. So the final filling factor is effective area / total +# surface area = 7.97840/8.66178 = 0.9211 +# +#poly 4 03:08:30.88 +15:46:36.6 2457333.85377 0.9211 500 2015BD.eff +poly 4 03:12:58.36 +16:16:06.4 2457333.85377 0.9211 500 2015BD.eff +-1.0887916 -2.3866217 +-1.0887916 1.5910813 + 1.0887916 2.3866217 + 1.0887916 -1.5910813 +# +# 2015B-C block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 480 chips failed, so effective area is +# 480/480 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995172 so the factor is 1./1.004828 +# So the filling factor is 1.0*0.9297/1.004828 = 0.92523. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*480/1.004828 = 11.97339 +# sq.deg. +# +# In the following, the total surface area is 2*1.6331874*(2.5855068+1.3921962) +# = 12.99267 sq.deg. So the final filling factor is effective area / total +# surface area = 11.97339/12.99267 = 0.9215 +# +#poly 4 03:19:52.10 +17:00:44.9 2457332.83884 0.9215 500 2015BC.eff +#-1.6331874 -2.5855068 +#-1.6331874 1.3921962 +# 1.6331874 2.5855068 +# 1.6331874 -1.3921962 +poly 4 03:22:09.15 +17:15:44.0 2457332.83884 0.9215 500 2015BC.eff +-1.0887916 -2.3866217 +-1.0887916 1.5910813 + 1.0887916 2.3866217 + 1.0887916 -1.5910813 +poly 4 03:06:18.32 +15:31:56.3 2457332.83884 0.9215 500 2015BC.eff +-0.5443958 -2.1877366 +-0.5443958 1.7899664 + 0.5443958 2.1877366 + 0.5443958 -1.7899664 +# +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# + 4.887 1.990 01:51:08.00 +15:51:48.0 2455860.843750 0.916 500 ma11la.eff + 4.922 1.990 01:51:08.00 +13:54:00.0 2455858.963195 0.912 500 ma11la.eff + 1.993 2.984 01:41:01.70 +28:10:00.0 2456220.904167 0.907 500 ma12ha.eff + 1.993 2.984 01:49:58.30 +28:10:00.0 2456221.947917 0.907 500 ma12ha.eff +# +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# For Megaprime, the 36 CCDs are 2048x4612 with pixels 0.18689x0.18689", so +# assuming a total footprint of 1 sq.deg, the filling factor is 0.9164 +# +# L3h block +# +4.00 4.00 13:03:51.43 -06:47:24.4 2452755.8399121 0.81 500 L3h-smooth.eff +# +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# HL6l block 15 sq.deg. Initially 16 pointings, but 2 at the same place +1.00 6.00 18:14:00.00 -06:30:00.0 2453909.9164294 0.80 500 HL6l-smooth.eff +1.00 8.00 18:18:03.00 -06:30:00.0 2453909.9164294 0.80 500 HL6l-smooth.eff +1.00 1.00 18:14:00.00 -11:00:00.0 2453909.9164294 0.80 500 HL6l-smooth.eff +# +# HL6r block 16 sq.deg. +4.00 3.00 22:37:52.50 +07:35:00.0 2453996.9038535 0.80 500 HL6r-smooth.eff +3.00 1.33 22:35:58.48 +05:30:00.0 2453996.9038535 0.80 500 HL6r-smooth.eff +# +# HL7a block 32 sq.deg. +2.00 3.50 12:59:44.79 +61:15:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +2.00 4.00 13:01:41.93 +57:30:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +2.00 5.00 13:07:38.87 +53:00:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +2.00 3.50 13:16:52.99 +48:45:00.0 2454177.9083997 0.90 500 HL7a-smooth.eff +# +# HL7b block 32 sq.deg. +4.00 4.00 11:31:54.00 +39:30:00.0 2454182.9163265 0.88 500 HL7b-smooth.eff +4.00 4.00 11:33:40.00 +35:30:00.0 2454182.9163265 0.88 500 HL7b-smooth.eff +# +# HL7c block 32 sq.deg. +4.00 4.00 11:34:28.22 +31:30:15.0 2454180.9057794 0.89 500 HL7c-smooth.eff +4.00 4.00 11:32:22.08 +27:30:08.7 2454180.9057794 0.89 500 HL7c-smooth.eff +# +# HL7d block 32 sq.deg. +2.00 4.50 12:42:10.77 +62:45:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +2.00 5.00 12:46:11.82 +58:00:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +2.00 4.00 12:53:09.13 +53:30:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +2.00 2.50 13:01:00.78 +50:15:00.0 2454199.8415076 0.84 500 HL7d-smooth.eff +# +# HL7e block 32 sq.deg. +2.00 5.50 13:16:24.26 +58:15:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +2.00 4.00 13:20:16.94 +53:30:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +2.00 4.00 13:27:03.84 +49:30:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +2.00 2.50 13:34:50.13 +46:00:00.0 2454212.8461975 0.87 500 HL7e-smooth.eff +# +# HL7j block 32 sq.deg. +3.00 5.00 16:20:00.00 +17:00:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +2.00 4.00 16:23:09.35 +12:30:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +1.17 6.00 16:23:22.09 +07:30:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +1.00 2.00 16:25:00.00 +02:30:00.0 2454263.8181902 0.90 500 HL7j-smooth.eff +# +# HL7l block 27 sq.deg. +4.00 3.00 17:50:36.80 +20:00:00.0 2454263.9342620 0.90 500 HL7l-smooth.eff +3.75 4.00 17:44:18.00 +16:30:00.0 2454263.9342620 0.90 500 HL7l-smooth.eff +# +# HL7o block 32 sq.deg. +1.00 3.00 22:17:10.00 +13:00:00.0 2454332.7937039 0.90 500 HL7o-smooth.eff +2.00 2.00 22:14:35.00 +15:30:00.0 2454332.7937039 0.90 500 HL7o-smooth.eff +1.00 3.00 22:13:18.02 +18:00:45.7 2454332.7937039 0.90 500 HL7o-smooth.eff +2.00 11.0 22:10:00.02 +25:00:45.7 2454332.7937039 0.90 500 HL7o-smooth.eff +# +# HL7p block 32 sq.deg. +2.00 4.00 22:11:36.38 +12:30:33.0 2454349.7989514 0.84 500 HL7p-smooth.eff +2.00 5.00 22:06:24.38 +17:00:33.0 2454349.7989514 0.84 500 HL7p-smooth.eff +1.27 11.0 22:02:24.38 +25:00:33.0 2454349.7989514 0.84 500 HL7p-smooth.eff +# +# HL7s block 31 sq.deg. +1.00 3.00 23:56:04.32 +39:00:00.0 2454362.8066242 0.98 500 HL7s-smooth.eff +1.28 14.0 23:57:04.13 +28:30:00.0 2454362.8066242 0.98 500 HL7s-smooth.eff +2.00 5.00 00:02:02.70 +23:30:00.0 2454362.8066242 0.98 500 HL7s-smooth.eff +# +# HL8a block 30 sq.deg. +3.00 4.00 09:24:00.82 +66:30:00.0 2454473.8962679 0.90 500 HL8a-smooth.eff +3.00 6.00 09:23:12.32 +61:30:00.0 2454473.8962679 0.90 500 HL8a-smooth.eff +# +# HL8b block 25 sq.deg. +2.62 6.50 09:51:40.55 +63:45:00.0 2454474.9093352 0.90 500 HL8b-smooth.eff +1.33 3.00 09:45:47.70 +59:00:00.0 2454474.9093352 0.90 500 HL8b-smooth.eff +2.00 2.00 09:59:26.36 +57:30:00.0 2454474.9093352 0.90 500 HL8b-smooth.eff +# +# HL8h block 11 sq.deg. +1.00 1.00 16:33:11.28 +13:47:06.0 2454592.0612175 0.88 500 HL8h-smooth.eff +3.16 3.16 16:32:00.07 +09:35:00.0 2454592.0612175 0.88 500 HL8h-smooth.eff +# +# HL8i block 11 sq.deg. +5.00 1.00 16:37:30.00 +25:00:00.0 2454595.9743127 0.90 500 HL8i-smooth.eff +6.00 1.00 16:08:00.00 +26:00:00.0 2454595.9743127 0.90 500 HL8i-smooth.eff +# +# HL8k block 12 sq.deg. +3.00 3.00 17:34:52.33 +25:00:00.0 2454597.9723680 0.90 500 HL8k-smooth.eff +2.00 1.00 17:33:49.23 +23:00:00.0 2454597.9723680 0.90 500 HL8k-smooth.eff +1.00 1.00 17:36:58.07 +22:00:00.0 2454597.9723680 0.90 500 HL8k-smooth.eff +# +# HL8l block 13 sq.deg. +2.36 5.50 17:35:36.30 +19:15:00.0 2454599.9639675 0.90 500 HL8l-smooth.eff +# +# HL8m block 12 sq.deg. +2.00 3.00 16:56:57.59 +26:00:00.0 2454616.9307835 0.90 500 HL8m-smooth.eff +1.00 6.00 16:58:10.96 +20:30:00.0 2454616.9307835 0.90 500 HL8m-smooth.eff +# +# HL8n block 11 sq.deg. +1.11 9.00 16:53:21.57 +22:00:00.0 2454617.8623710 0.89 500 HL8n-smooth.eff +1.00 1.00 16:50:17.94 +28:00:00.0 2454617.8623710 0.89 500 HL8n-smooth.eff +# +# HL8o block 12 sq.deg. +1.10 11.0 16:48:12.00 +23:00:00.0 2454624.9487368 0.90 500 HL8o-smooth.eff +# +# HL9 block 219 sq.deg. + 5.00 2.00 18:11:12.61 +47:34:30.0 2454994.97183 0.9164 500 HL902-smooth.eff + 3.00 2.00 18:35:37.61 +47:34:30.0 2454994.97183 0.9164 500 HL901-smooth.eff + 4.00 1.00 18:11:36.90 +49:05:54.0 2454994.97183 0.9164 500 HL901-smooth.eff +10.00 1.00 18:54:36.90 +49:05:54.0 2454994.97183 0.9164 500 HL903-smooth.eff +10.00 1.00 18:30:00.90 +50:06:14.0 2454994.97183 0.9164 500 HL904-smooth.eff +10.00 1.00 18:29:46.90 +51:06:34.0 2454994.97183 0.9164 500 HL905-smooth.eff +10.00 1.00 18:29:26.90 +52:07:04.0 2454994.97183 0.9164 500 HL906-smooth.eff +10.00 1.00 18:29:06.90 +53:07:34.0 2454994.97183 0.9164 500 HL907-smooth.eff +10.00 1.00 18:28:50.90 +54:07:54.0 2454994.97183 0.9164 500 HL908-smooth.eff + 2.00 5.00 19:10:08.90 +52:07:04.0 2454994.97183 0.9164 500 HL909-smooth.eff + 2.00 5.00 19:23:54.90 +52:07:04.0 2454994.97183 0.9164 500 HL910-smooth.eff + 3.00 3.00 18:05:20.00 +56:09:36.0 2454994.97183 0.9164 500 HL911-smooth.eff +10.00 1.00 18:53:20.00 +55:08:36.0 2454994.97183 0.9164 500 HL912-smooth.eff +10.00 1.00 18:53:40.00 +56:09:36.0 2454994.97183 0.9164 500 HL913-smooth.eff +10.00 1.00 18:53:52.00 +57:10:06.0 2454994.97183 0.9164 500 HL914-smooth.eff +10.00 1.00 18:34:46.38 +58:10:44.0 2454994.97183 0.9164 500 HL915-smooth.eff +10.00 1.00 18:34:37.38 +59:11:24.0 2454994.97183 0.9164 500 HL916-smooth.eff +10.00 1.00 18:34:19.38 +60:12:04.0 2454994.97183 0.9164 500 HL917-smooth.eff + 2.00 3.00 19:23:31.38 +59:11:24.0 2454994.97183 0.9164 500 HL918-smooth.eff + 1.00 1.00 17:58:54.78 +61:12:35.9 2454994.97183 0.9164 500 HL911-smooth.eff +10.00 1.00 18:45:20.78 +61:12:35.9 2454994.97183 0.9164 500 HL919-smooth.eff + 5.00 2.00 18:52:26.63 +62:43:30.0 2454994.97183 0.9164 500 HL920-smooth.eff + 2.00 2.00 19:24:12.63 +62:43:30.0 2454994.97183 0.9164 500 HL918-smooth.eff + 1.00 9.00 18:54:11.17 +43:05:45.3 2455034.89755 0.9164 500 HL921-smooth.eff + 1.00 10.00 19:01:11.17 +42:35:45.3 2455034.89755 0.9164 500 HL922-smooth.eff diff --git a/src/ossssim/Characterizations/CFEPS/CFEPS.CDS b/src/ossssim/Characterizations/CFEPS/CFEPS.CDS new file mode 100644 index 0000000..8432241 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/CFEPS.CDS @@ -0,0 +1,311 @@ +Title: The Outer Solar System Origins Survey: +Authors: Bannister M.T., Kavelaars J.J., Petit J.-M., Gladman B.J., Gwyn S.D.J., +Table: Orbit and discovery properties of the characterized OSSOS objects +================================================================================ +Byte-by-byte Description of file: CFEPS.CDS +-------------------------------------------------------------------------------- + Bytes Format Units Label Explanation (with possible notes) +-------------------------------------------------------------------------------- + 1- 3 A3 --- cl Orbital population/class (1) + 5- 5 A1 --- p Possibly additional information based on + class + IF cl=cent OR sca OR det: + no information ('x') + IF cl=res: + U or N indicating MMR planet (2) + IF cl=cla, portion of classical belt is + indicated as: + i : inner (a < a_(3:2 resonance) ) + m : inner (a_(3:2 resonance) < a + < a_(2:1 resonance) ) + o : outer (a < a_(2:1 resonance) ) + and not detached + 7- 9 I3 --- j Resonant object is in the j : k resonance + (-1 is null) + 11- 13 I3 --- k Resonant object is in the j : k resonance + (-1 is null) + 15- 16 A2 --- sh [ISH] Orbit classification status (3) + 18- 27 A10 --- object Object identifier/designation (4) + See ossos-survey.org/tnodb for a + correspondence list to MPC + 29- 33 F5.2 mag mag Cleaned mean magnitude DURING DISCOVERY + Cleaned = flagged photometry not part of + average + 35- 39 F5.3 mag e_mag Uncertainty in magnitude + (applies to Hsur also) + 41- 41 A1 --- Filt Filter used in discovery observation + 43- 47 F5.2 mag Hsur Surmised Absolute magnitude H, in + discovery filter + 49- 55 F7.3 AU dist Object distance at discovery (5) + 57- 63 F7.3 AU e_dist Uncertainty in dist (6) + 65- 68 I4 --- Nobs Number of observations available + 70- 78 F9.4 years time Length of measured orbital arc + (last-first observation) + 80- 85 F6.3 arcsec av-xres Mean orbit-fit residual, RA + 87- 92 F6.3 arcsec av-yres Mean orbit-fit residual, DEC + 94- 99 F6.3 arcsec max-x Maximum orbit-fit residual, RA + 101-106 F6.3 arcsec max-y Maximum orbit-fit residual, DEC + 108-118 F11.6 AU a Semimajor axis (5) + 120-129 F10.4 AU e_a Uncertainty in a (6) + 131-139 F9.6 --- e Orbital eccentricity (5) + 141-149 F9.6 --- e_e Uncertainty in e (6) + 151-157 F7.3 deg i Inclination to the ecliptic (5) + 159-165 F7.3 deg e_i Uncertainty in i (6) + 167-174 F8.3 deg Omega Longitude of ascending node + 176-182 F7.3 deg e_Omega Uncertainty in Omega + 184-191 F8.3 deg omega Argument of perihelion + 193-201 F9.3 deg e_omega Uncertainty in omega + 203-212 F10.3 d tperi Modified Julian Date of osculating + perihelion passage + 214-223 F10.3 d e_tperi Uncertainty in tperi + 225-231 F7.3 deg RAdeg Right ascension (J2000) at mean equinox of + discovery + 233-239 F7.3 deg DEdeg Declination (J2000) at mean equinox of + discovery + 241-253 F13.5 d JD Central Julian Date of of first discovery + image + 255-259 F5.2 arcsec/h rate Angular rate of sky motion at discovery + 261-267 A7 --- MPC Compact MPC designation +-------------------------------------------------------------------------------- +Note (1): Orbital population/Dynamical class, based on scheme from + Gladman et al. (2008), "Solar System beyond Neptune" + cen = centaur + sca = scattering disk object + cla = classical belt + res = in mean-motion resonance + det = detached object ( a>a_(2:1) and e>0.24 and non-resonant and + non-scattering ) + jco = Jupiter Coupled +Note (2): Mean-motion resonance occupancy is checked for planets [U]ranus and + [N]eptune. +Note (3): Orbit classification status: + First character: + I = the orbit classification is currently insecure; + or + S = the orbit classification is secure. + Optional second character + H = human operator intervened and set the given orbit security status +Note (4): Survey designations here based on their OSSOS discovery, with a format + "o" for OSSOS, the last digit of the year in which the object was discovered + by OSSOS (3-6), the block ID letter (e,o) and the sequential number to give + unique identifiers, "PD" indicates previous discovery. + Object beginning "KO2" are Presurvey objects (Jones et al 2006, Icarus) + Object beginning "L" are CFEPS objects (Petit et al 2011, AJ)) + Object beginning "HL" are Hilat Survey objects (Petit et al 2016, AJ)) + Object beginning "ma" are from the PhD thesis of (Alexandersen et al + 2016, AJ)) +Note (5): J2000 ecliptic barycentric coordinates. +Note (6): Uncertainties from the covariance matrix of the orbital parameter + confidence regions as determined by the method described in + Bernstein and Khushalani (2000). +-------------------------------------------------------------------------------- +xxx x -1 -1 x K02O01nt 23.80 0.170 R 6.05 59.018 4.579 8 0.0815 0.046 0.120 0.168 0.337 58.889224 30.2202 0.529878 1.093125 178.637 0.665 293.971 17.540 90.149 95.529 79927.183 50629.193 328.743 -13.461 2452491.90898 2.67 ------- +res N 7 4 S K02O03 23.30 0.170 R 7.33 39.093 0.001 28 4.0334 0.461 0.410 1.564 0.901 43.685749 0.0047 0.189021 0.000223 0.753 0.000 182.593 0.023 78.011 0.050 38671.954 5.780 328.806 -12.171 2452491.91434 3.20 K00O67P +xxx x -1 -1 x K02O10nt 23.60 0.216 R 7.30 42.144 6.653 8 0.0816 0.081 0.110 0.141 0.270 45.495761 21.2109 0.480207 1.237844 2.586 2.149 120.029 23.406 316.881 102.162 69288.959 12142.173 329.202 -13.761 2452491.91710 3.03 ------- +res N 2 1 S K02O12 23.40 0.154 R 6.61 47.184 0.003 18 2.9271 0.193 0.213 0.397 0.601 47.750796 0.0241 0.221323 0.000890 1.918 0.001 329.086 0.001 97.479 0.056 77336.303 32.567 329.342 -12.549 2452491.92303 2.76 K02PH0U +cla m -1 -1 S K02O20 22.10 0.247 R 5.79 42.209 0.001 35 6.9760 0.143 0.164 0.512 0.420 42.664194 0.0049 0.013740 0.000070 1.272 0.000 88.444 0.013 277.807 0.566 63370.416 154.678 329.692 -13.521 2452491.92871 2.98 K02PH0V +xxx x -1 -1 x K02O31nt 23.30 0.300 R 7.17 40.458 2.530 4 0.0109 0.073 0.025 0.147 0.049 41.472773 21.6611 0.025402 0.568329 2.470 0.738 353.110 7.957 350.886 1333.880 56602.863 342426.297 330.978 -13.023 2452491.94486 3.19 ------- +cla m -1 -1 S K02O32 22.60 0.152 R 5.79 47.426 0.002 30 2.0910 0.175 0.207 0.656 0.794 44.884435 0.0238 0.074492 0.002150 3.933 0.001 339.814 0.004 205.824 2.383 10814.170 734.108 330.626 -12.896 2452491.94783 2.67 K02PH0W +cla m -1 -1 S K02O40 23.60 0.082 R 7.20 43.036 0.006 13 2.1187 0.131 0.200 0.441 0.452 43.013603 0.0086 0.030375 0.002915 3.017 0.001 110.815 0.013 124.935 0.305 26963.118 94.270 331.634 -13.652 2452491.95342 2.81 K02PH0Y +xxx x -1 -1 x K02O41nt 23.80 0.249 R 7.47 42.364 1.670 8 0.0815 0.042 0.088 0.076 0.269 47.460318 24.6404 0.212736 0.637472 1.272 0.012 68.921 2.716 188.666 98.918 36193.188 20528.513 331.469 -13.067 2452491.95603 2.92 ------- +cla m -1 -1 S K02O43 23.50 0.047 R 7.13 42.726 0.003 20 2.1077 0.202 0.251 0.454 0.691 44.701614 0.0072 0.058885 0.001037 3.574 0.001 336.730 0.002 308.761 1.083 40636.179 278.171 331.817 -12.089 2452491.96288 2.89 K02PH1C +cla m -1 -1 S K02P32 23.20 0.132 R 6.83 42.794 0.001 19 2.0914 0.096 0.185 0.256 0.424 42.653669 0.0288 0.041347 0.004217 1.570 0.001 119.105 0.023 112.033 1.166 26449.539 353.679 330.853 -12.753 2452491.94783 2.82 K03QB3Z +cla m -1 -1 S K02P41 23.20 0.160 R 6.36 47.690 0.010 14 2.1156 0.123 0.161 0.353 0.641 44.344810 0.0310 0.075723 0.003435 2.511 0.001 109.599 0.027 34.351 20.220 104788.290 6041.129 331.577 -13.380 2452491.95603 2.57 K02PH1A +det x -1 -1 S L3f01 23.48 0.127 g 7.66 38.013 0.002 13 2.2963 0.071 0.115 0.246 0.309 61.712686 0.0235 0.384044 0.000227 5.793 0.001 28.031 0.003 161.953 0.293 52622.702 59.363 190.581 -2.606 2452722.96126 3.23 K03FC9Z +res N 5 2 S L3f04PD 22.56 0.062 g 6.97 36.013 0.002 36 2.9983 0.774 0.449 0.800 0.497 55.286289 0.0289 0.402014 0.000427 5.869 0.000 3.921 0.000 143.214 0.046 45053.297 5.749 190.493 -5.385 2452722.96628 3.46 K00F08E +res N 3 2 S L3h01 23.12 0.112 r 7.81 33.324 0.001 21 2.2715 0.232 0.633 0.495 1.176 39.492378 0.0060 0.157495 0.000095 9.114 0.001 197.976 0.000 7.021 0.286 54322.837 51.660 194.416 -6.450 2452755.82408 3.62 K04FG4W +cla m -1 -1 S L3h04 23.59 0.183 r 6.94 45.469 0.002 22 4.0546 0.317 0.218 0.863 0.512 47.196094 0.0088 0.223870 0.000378 29.525 0.001 197.544 0.000 265.169 0.023 30420.334 10.879 194.534 -6.883 2452755.82408 2.87 K03H56X +cla m -1 -1 S L3h05 23.30 0.134 r 6.95 42.450 0.002 16 2.2091 0.183 0.261 0.563 0.651 42.603511 0.0076 0.036813 0.005146 2.578 0.001 35.620 0.009 247.517 0.966 75954.552 113.600 195.268 -5.585 2452755.82670 2.99 K03H56Y +sca x -1 -1 I L3h08 23.59 0.177 r 7.66 38.445 0.001 22 5.1218 0.128 0.239 0.248 0.360 159.681973 0.1233 0.761413 0.000176 15.500 0.000 197.871 0.000 10.841 0.013 54874.804 2.236 195.127 -6.718 2452755.83459 3.02 K03H57B +cla m -1 -1 S L3h09 22.12 0.048 r 5.67 43.430 0.002 20 2.2113 0.149 0.166 0.461 0.551 44.046269 0.0248 0.071521 0.004999 1.038 0.001 234.051 0.041 46.116 0.673 74897.734 49.883 195.390 -7.250 2452755.83459 2.82 K03H57C +xxx x -1 -1 x L3h10nt 22.84 0.085 r 7.80 31.300 0.678 7 0.0932 0.059 0.065 0.125 0.146 32.233582 17.1309 0.731564 0.199416 14.580 1.961 15.128 0.293 46.809 12.642 44247.934 2377.119 195.168 -7.106 2452755.83459 4.11 K03H57M +res N 3 2 S L3h11 23.16 0.128 r 7.94 32.701 0.001 15 2.2091 0.257 0.468 0.829 1.223 39.399366 0.0060 0.171023 0.000096 27.626 0.001 199.712 0.000 5.173 0.380 54049.542 66.441 195.423 -7.726 2452755.83196 3.85 K03H57A +cla m -1 -1 S L3h13 23.05 0.110 r 6.93 40.229 0.002 14 2.2010 0.125 0.210 0.316 0.618 44.038284 0.0240 0.087995 0.001303 1.436 0.001 39.091 0.020 146.335 3.129 49886.440 771.389 195.452 -5.990 2452755.86103 2.90 K03H57H +res N 3 2 S L3h14 22.98 0.096 r 7.73 32.896 0.001 15 2.2091 0.179 0.177 0.286 0.344 39.446413 0.0278 0.179332 0.001229 5.621 0.001 34.377 0.002 136.528 0.602 48156.404 99.427 196.193 -5.064 2452755.83724 3.56 K03H57D +xxx x -1 -1 x L3h15nt 23.53 0.170 r 7.18 42.466 1.167 7 0.0932 0.035 0.117 0.078 0.289 43.543254 22.6625 0.359925 0.592358 2.283 0.375 34.054 2.705 271.363 44.689 71833.329 15937.845 196.502 -6.324 2452755.84521 2.90 K03H57N +xxx x -1 -1 x L3h16nt 23.51 0.183 r 7.03 43.802 1.361 7 0.0933 0.121 0.190 0.201 0.499 44.939624 23.5191 0.745922 0.204180 6.845 1.791 27.397 2.363 34.162 14.304 38905.682 3797.288 197.149 -6.115 2452755.84782 3.14 K03H57O +cla m -1 -1 S L3h18 22.46 0.070 r 6.06 42.976 0.001 20 4.0548 0.154 0.238 0.360 0.618 43.612247 0.0053 0.032259 0.000304 2.098 0.000 36.306 0.004 227.668 0.299 70706.911 76.890 197.592 -6.783 2452755.85572 2.88 K03H57G +res N 3 2 S L3h19 23.30 0.138 r 8.13 32.364 0.002 19 5.0263 0.043 0.153 0.132 0.164 39.352922 0.0093 0.193231 0.000136 1.422 0.000 48.135 0.004 123.039 0.039 48039.949 6.206 197.510 -6.665 2452755.85572 3.67 K03H57F +cla m -1 -1 IH L3h20 23.06 0.123 r 6.97 40.006 0.002 13 2.2063 0.094 0.187 0.178 0.389 44.172946 0.0364 0.099792 0.002081 8.863 0.001 9.996 0.002 168.644 2.493 47640.750 595.397 197.062 -8.890 2452755.85049 2.97 K03H57E +sca x -1 -1 S L3q01 24.00 0.176 g 8.16 38.171 0.002 15 3.8986 0.251 0.127 0.377 0.298 51.054204 0.0203 0.484715 0.000263 6.922 0.001 160.303 0.001 254.014 0.016 65727.551 2.313 328.835 -10.957 2452882.82283 3.45 K03QB3W +cla m -1 -1 S L3q02PD 23.39 0.115 g 7.44 39.103 0.001 23 2.9851 0.270 0.062 0.430 0.247 42.618486 0.0056 0.096160 0.000227 1.800 0.000 291.666 0.011 1.903 0.205 44885.512 45.678 329.299 -11.323 2452882.82283 3.23 K01QT8B +det x -1 -1 S L3q03 23.29 0.107 g 5.60 58.342 0.003 19 4.2211 0.178 0.179 0.513 0.374 49.605707 0.0162 0.252574 0.000486 6.751 0.001 158.077 0.001 25.281 0.167 8945.778 64.309 329.012 -11.227 2452882.82283 2.15 K03QB3X +cla m -1 -1 S L3q04PD 23.73 0.144 g 6.67 50.469 0.002 23 2.0260 0.069 0.070 0.118 0.296 46.240214 0.0170 0.143316 0.001501 3.703 0.001 328.776 0.001 134.523 0.576 92130.805 190.011 329.782 -12.381 2452882.82615 2.64 K02PH0T +cla m -1 -1 S L3q06PD 23.41 0.118 g 6.84 45.147 0.003 18 7.8548 0.158 0.192 0.191 0.235 44.094130 0.0100 0.039735 0.000119 2.151 0.000 162.720 0.003 295.420 0.262 90024.196 82.726 331.182 -11.264 2452882.83446 2.87 K01QT8J +res N 7 4 S L3q08PD 23.86 0.180 g 7.74 40.720 0.003 24 2.0915 0.175 0.145 0.253 0.157 43.633436 0.0244 0.124609 0.001586 5.450 0.001 336.790 0.001 289.186 0.323 37810.299 51.032 332.021 -12.219 2452882.83942 2.86 K02PH1B +cla m -1 -1 S L3q09PD 23.78 0.162 g 7.38 43.518 0.005 15 3.0180 0.073 0.267 0.118 0.302 44.149407 0.0159 0.027473 0.000729 0.911 0.001 279.566 0.040 110.480 1.264 69926.833 339.757 331.702 -10.846 2452882.84110 3.04 K01QT7X +cla m -1 -1 S L3s01 23.69 0.177 g 7.52 41.466 0.003 16 1.7883 0.087 0.064 0.224 0.157 42.499691 0.0126 0.042082 0.000940 1.497 0.001 215.480 0.028 87.866 0.846 38099.315 203.770 359.597 0.795 2452909.85049 3.10 K03SV7N +res N 3 2 S L3s02 23.47 0.140 g 8.41 32.319 0.001 28 1.7907 0.231 0.415 0.817 0.936 39.346203 0.0088 0.275016 0.000440 6.563 0.001 187.306 0.000 112.118 0.063 43518.007 4.637 1.889 1.459 2452909.85364 4.14 K03SV7O +cla m -1 -1 S L3s03 23.02 0.094 g 7.05 39.327 0.002 17 1.7882 0.180 0.227 0.318 0.497 42.628892 0.0119 0.079517 0.000291 28.568 0.001 176.307 0.000 192.923 0.634 56311.358 151.481 355.169 -1.429 2452909.86654 3.28 K03SV7Q +res N 4 3 S L3s06 22.83 0.085 g 8.30 28.203 0.001 17 1.7908 0.070 0.377 0.111 0.503 36.465933 0.0095 0.235980 0.000202 5.905 0.001 177.642 0.000 197.800 0.082 55686.608 10.848 354.925 -1.878 2452909.86654 4.31 K03SV7S +res N 3 2 S L3w01 23.24 0.094 g 8.10 31.993 0.003 12 1.8868 0.103 0.279 0.131 0.394 39.406862 0.0146 0.188380 0.000201 34.390 0.001 246.213 0.000 185.930 0.365 54240.242 61.415 62.248 21.879 2452989.81490 4.21 K05TI9V +cla m -1 -1 IH L3w02 23.49 0.105 g 7.02 43.712 0.002 18 2.0890 0.204 0.127 0.736 0.259 44.539192 0.0139 0.102684 0.001297 1.660 0.001 276.844 0.017 234.907 0.099 75155.014 18.897 64.165 22.185 2452989.81653 2.90 K03T58G +res N 7 4 I L3w03 23.70 0.134 g 7.59 40.243 0.002 19 6.7301 0.049 0.079 0.216 0.345 43.635912 0.0143 0.078620 0.000230 1.447 0.000 31.495 0.007 45.015 0.147 55292.909 36.767 64.852 22.306 2452989.81818 3.22 K03YH9J +cla m -1 -1 S L3w04 22.49 0.048 g 6.26 41.323 0.002 17 3.1404 0.211 0.145 0.379 0.193 44.601729 0.0088 0.137024 0.000563 19.393 0.001 66.912 0.000 65.020 0.140 68371.714 23.569 65.191 21.674 2452989.81818 3.10 K03YH9O +cla m -1 -1 S L3w05 23.92 0.167 g 7.56 42.717 0.002 12 2.0891 0.170 0.183 0.330 0.333 41.670036 0.0170 0.145614 0.001397 19.605 0.001 250.163 0.000 286.088 0.162 78004.899 56.592 66.034 22.307 2452989.81981 2.83 K03YH9K +cla i -1 -1 S L3w06 23.73 0.127 g 7.79 38.738 0.007 13 1.8869 0.085 0.079 0.259 0.157 38.817713 0.0260 0.002272 0.001236 2.525 0.001 262.141 0.005 192.272 41.762 59018.406 10189.687 67.599 22.406 2452989.82309 3.19 K03YH9L +res N 3 2 S L3w07 22.90 0.062 g 7.30 35.842 0.001 16 2.0919 0.128 0.086 0.553 0.192 39.363516 0.0115 0.091105 0.000469 27.935 0.001 251.388 0.000 166.922 0.770 50438.100 159.129 68.629 22.381 2452989.82472 3.63 K03T58H +cla m -1 -1 S L3w08 24.03 0.181 g 7.88 40.810 0.002 13 2.3236 0.111 0.123 0.286 0.276 44.403546 0.0111 0.086433 0.000901 0.954 0.001 37.209 0.030 11.936 1.267 47264.575 313.252 69.918 22.717 2452989.82636 3.11 K03T58J +cla m -1 -1 S L3w09 23.41 0.113 g 7.25 40.873 0.003 17 1.9743 0.095 0.067 0.117 0.180 45.171151 0.0097 0.104183 0.000603 1.577 0.001 72.010 0.002 333.631 0.703 46336.764 170.362 70.460 22.231 2452989.82636 3.30 K04XJ0X +cla m -1 -1 S L3w10 24.18 0.176 g 7.89 42.189 0.002 15 2.0042 0.089 0.103 0.354 0.341 43.542180 0.0076 0.045554 0.000906 7.738 0.001 255.200 0.000 226.304 1.045 66042.257 266.090 71.132 22.630 2452989.82799 3.10 K03T58L +cla m -1 -1 I L3w11 24.00 0.170 g 7.37 45.627 0.003 14 2.0944 0.057 0.084 0.153 0.261 43.077562 0.0076 0.064746 0.000569 3.355 0.001 67.434 0.003 207.574 1.325 8606.235 379.939 71.013 22.613 2452989.82799 2.64 K03T58K +cla m -1 -1 S L3y01 24.02 0.194 g 7.66 42.451 0.001 15 2.0996 0.214 0.149 0.470 0.306 43.581905 0.0053 0.044000 0.001902 4.850 0.001 112.129 0.000 55.745 1.926 68115.654 483.610 114.201 21.561 2452997.97194 2.82 K03YH9X +res N 5 1 I L3y02 23.34 0.118 g 7.33 39.262 0.001 33 9.2807 0.223 0.200 0.469 0.618 88.411905 0.0162 0.578658 0.000067 20.874 0.000 109.793 0.000 30.558 0.006 58823.634 1.001 111.799 21.894 2452997.96065 3.30 K03YH9Q +cla m -1 -1 S L3y03 23.52 0.133 g 7.47 39.577 0.001 16 1.7770 0.078 0.213 0.375 0.670 46.748788 0.0111 0.159734 0.000433 4.855 0.001 126.462 0.004 326.031 0.367 48578.326 83.355 113.546 20.374 2452997.96767 2.95 K03YH9U +cla m -1 -1 S L3y05 23.86 0.163 g 7.37 43.823 0.002 13 2.0997 0.063 0.091 0.150 0.203 43.584991 0.0062 0.022311 0.002721 3.727 0.001 86.563 0.009 129.768 1.540 83031.200 450.154 113.278 23.304 2452997.96344 2.67 K03YH9S +res N 5 3 S L3y06 23.54 0.121 g 7.93 35.710 0.001 21 6.2333 0.959 0.394 1.552 1.167 42.146230 0.0073 0.152999 0.000120 2.385 0.000 97.180 0.002 18.695 0.093 53808.915 18.798 114.282 22.192 2452997.97051 3.42 K03YH9W +res N 7 3 S L3y07 23.48 0.128 g 7.77 36.579 0.001 15 2.0994 0.126 0.126 0.196 0.304 52.921424 0.0150 0.322046 0.000384 0.518 0.000 359.464 0.087 133.350 0.220 57389.025 36.806 112.172 22.378 2452997.95924 3.04 K01XP4T +cla m -1 -1 S L3y09 23.55 0.119 g 7.34 41.058 0.002 16 2.0994 0.103 0.113 0.274 0.378 47.100586 0.0290 0.222043 0.001475 15.569 0.001 109.887 0.000 67.759 0.205 67523.448 22.076 114.000 22.121 2452997.97051 2.92 K03YH9V +res N 5 4 S L3y11 23.59 0.135 g 8.20 33.981 0.001 14 2.0998 0.082 0.076 0.176 0.221 34.924842 0.0051 0.073602 0.000960 2.856 0.001 323.147 0.008 219.602 0.318 66501.671 43.444 112.845 23.390 2452997.96344 3.64 K01XP5H +res N 5 3 S L3y12PD 21.75 0.027 g 6.06 36.418 0.001 82 3.0776 0.137 0.118 0.750 0.587 42.331834 0.0033 0.140430 0.000058 11.078 0.000 108.852 0.000 355.092 0.089 51598.282 18.487 112.898 22.131 2452997.96484 3.32 K01YE0H +res N 11 8 I L3y14PD 23.54 0.138 g 7.99 35.306 0.001 27 3.0829 0.149 0.077 0.266 0.239 37.219762 0.0027 0.052107 0.000066 4.262 0.000 94.731 0.001 4.932 0.273 50957.599 56.584 111.770 23.059 2452997.95784 3.31 K01XP4S +cla m -1 -1 I L4h01PD 23.77 0.402 g 7.50 41.857 0.000 70 14.9377 0.309 0.845 0.573 0.940 43.719581 0.0017 0.048039 0.000026 7.750 0.000 187.908 0.000 43.279 0.027 60818.000 6.974 200.966 -6.692 2453121.82065 3.21 J93F00W +res N 5 2 S L4h02PD 23.50 0.184 g 8.36 32.223 0.001 18 1.8782 0.225 0.139 0.301 0.316 55.550320 0.0123 0.422907 0.000128 16.213 0.001 196.409 0.000 16.593 0.097 54773.263 14.921 200.638 -6.854 2453121.82065 3.62 K04E96G +xxx x -1 -1 x L4h04nt 23.89 0.169 g 8.71 32.561 3.976 6 0.1507 0.034 0.062 0.077 0.151 33.590099 14.4898 0.066282 7.464194 4.848 3.434 36.982 10.096 100.163 3711.283 41457.327 548426.676 201.398 -7.692 2453121.82352 3.72 ------- +res N 3 2 S L4h06 23.83 0.122 g 8.76 31.794 0.001 16 3.0525 0.108 0.211 0.122 0.238 39.301814 0.0068 0.195706 0.000150 12.584 0.000 25.183 0.000 193.930 0.084 55648.421 13.797 201.822 -8.829 2453121.82494 3.63 K04H78Y +res N 3 2 S L4h07 23.70 0.083 g 7.81 38.400 0.002 13 2.0178 0.070 0.082 0.196 0.437 39.378372 0.0308 0.246974 0.001230 22.700 0.001 203.249 0.000 262.782 0.079 35545.416 32.694 202.650 -8.875 2453121.82777 3.38 K04H79A +res N 3 2 S L4h08 23.00 0.029 g 7.54 34.792 0.001 19 4.1199 0.247 0.102 0.377 0.278 39.579688 0.0065 0.150948 0.000138 13.310 0.000 25.757 0.000 220.700 0.071 61092.575 12.143 202.218 -8.906 2453121.82777 3.68 K04H78Z +res N 3 2 S L4h09PD 21.26 0.123 g 6.67 28.512 0.000 53 15.1348 0.364 0.635 0.378 0.675 39.351847 0.0027 0.281203 0.000041 10.815 0.000 26.099 0.000 195.131 0.002 55212.852 0.273 203.567 -9.770 2453121.83060 4.10 K00GH1N +res N 3 2 S L4h10PD 22.98 0.105 g 8.01 31.110 0.000 35 9.1536 0.166 0.100 0.270 0.416 39.520906 0.0028 0.251967 0.000037 4.814 0.000 186.666 0.000 60.185 0.007 59327.429 0.986 204.015 -8.268 2453121.83202 4.09 J95H05M +res N 15 8 I L4h11 23.01 0.084 g 7.25 37.377 0.002 20 5.1552 0.137 0.233 0.211 0.462 45.741623 0.0121 0.229706 0.000118 11.670 0.000 32.824 0.000 219.032 0.066 62304.299 11.424 204.258 -8.523 2453121.83202 3.26 K04H79N +cla m -1 -1 S L4h12 23.96 0.157 g 7.77 41.302 0.002 16 2.0204 0.094 0.195 0.290 0.604 43.887907 0.0111 0.078000 0.000872 1.946 0.001 68.976 0.020 181.504 0.649 64323.724 154.329 204.882 -8.896 2453121.83202 3.01 K04H79K +res N 4 3 S L4h14 23.55 0.171 g 7.72 37.989 0.003 15 2.8232 0.101 0.213 0.205 0.547 36.441149 0.0054 0.079432 0.000758 1.172 0.001 195.906 0.009 244.355 0.288 26694.446 62.728 204.264 -9.868 2453121.83344 3.31 K04H79M +res N 3 2 S L4h15 24.05 0.052 g 8.98 31.964 0.001 13 2.1764 0.163 0.118 0.343 0.191 39.259977 0.0110 0.228623 0.000752 2.661 0.001 62.609 0.009 188.810 0.255 60104.012 33.975 205.635 -8.922 2453121.83486 3.89 K04H79B +cla m -1 -1 S L4h16 24.04 0.445 g 7.99 40.044 0.002 15 5.1552 0.165 0.132 0.625 0.373 42.108694 0.0086 0.073510 0.000224 16.757 0.001 202.495 0.000 313.366 0.136 40644.890 30.048 205.385 -9.024 2453121.83486 3.35 K04H79L +res N 2 1 S L4h18 23.16 0.155 g 7.17 39.515 0.001 18 5.1549 0.233 0.249 0.358 0.621 47.596917 0.0069 0.183631 0.000082 2.252 0.000 174.003 0.007 60.615 0.098 59240.016 21.449 206.060 -9.408 2453121.83769 3.19 K04H79P +det x -1 -1 I L4h21 23.75 0.046 g 8.11 36.551 0.002 15 2.8232 0.041 0.090 0.202 0.133 63.298805 0.0212 0.422638 0.000171 6.473 0.001 37.237 0.001 173.572 0.079 53433.612 14.907 207.282 -10.240 2453121.84052 3.25 K04H79Q +cla m -1 -1 S L4j01 23.80 0.254 g 7.75 39.971 0.004 16 3.0581 0.092 0.233 0.311 0.499 44.316254 0.0137 0.098046 0.000191 3.089 0.001 62.816 0.003 162.916 0.515 53080.915 125.824 223.986 -15.795 2453120.92986 2.79 K04H79E +cla m -1 -1 S L4j02 23.38 0.086 g 7.06 42.419 0.002 17 2.1081 0.111 0.123 0.433 0.288 43.269131 0.0059 0.025466 0.000931 1.484 0.001 76.660 0.021 190.800 2.624 64247.339 708.897 225.074 -16.282 2453120.93410 2.81 K04H79F +cla m -1 -1 S L4j03 23.81 0.097 g 7.41 43.205 0.002 17 2.1081 0.066 0.148 0.218 0.316 44.199894 0.0062 0.022980 0.000296 3.595 0.001 56.314 0.003 182.834 3.891 56531.438 1106.017 225.157 -16.478 2453120.93410 3.02 K04H79G +cla m -1 -1 S L4j05 23.53 0.091 g 7.58 38.954 0.001 19 4.1276 0.170 0.264 0.499 0.455 46.398509 0.0083 0.160639 0.000131 1.446 0.000 68.459 0.006 156.503 0.108 52349.318 24.600 226.358 -16.888 2453120.93696 3.09 K04H79C +res N 5 2 S L4j06PD 22.14 0.034 g 7.02 32.057 0.001 62 3.0944 0.186 0.070 0.532 0.342 55.386888 0.0075 0.421953 0.000071 1.559 0.000 124.021 0.009 110.669 0.027 53937.727 3.865 227.818 -16.202 2453120.93836 3.79 K02G32P +cla m -1 -1 S L4j07 22.91 0.090 g 6.11 47.329 0.002 15 2.0306 0.110 0.145 0.364 0.608 45.940983 0.0087 0.032046 0.000819 1.305 0.000 159.190 0.060 230.953 3.579 103621.256 1129.554 227.158 -16.336 2453120.93836 2.59 K04H79D +res N 5 2 S L4j08 23.59 0.144 g 7.82 37.260 0.001 22 4.0410 0.076 0.105 0.235 0.360 55.205527 0.0140 0.411661 0.000207 5.624 0.000 53.634 0.000 119.934 0.020 43396.310 1.804 227.589 -17.321 2453120.93977 3.20 K04H79O +cla m -1 -1 S L4j10 23.75 0.214 g 7.34 43.160 0.002 13 2.1081 0.086 0.066 0.176 0.171 43.259250 0.0111 0.060099 0.001648 8.610 0.001 222.345 0.001 99.221 0.103 77460.660 56.074 228.457 -16.718 2453120.94121 2.92 K04H79H +res N 3 2 S L4j11 23.71 0.178 g 8.38 33.566 0.001 20 2.1844 0.093 0.083 0.308 0.226 39.419732 0.0046 0.152697 0.000191 16.272 0.001 228.958 0.000 19.126 0.292 55991.230 52.811 230.613 -17.503 2453120.94688 3.70 K04H78X +cla m -1 -1 S L4j12 23.64 0.063 g 7.32 42.234 0.005 13 2.0255 0.074 0.092 0.141 0.207 44.961294 0.0116 0.060941 0.000320 0.317 0.000 144.489 0.231 93.482 2.074 54728.863 555.724 230.085 -18.058 2453120.94830 2.72 K06J58V +res N 3 2 S L4k01 24.01 0.121 g 7.98 39.476 0.003 16 2.0071 0.110 0.099 0.330 0.246 39.483636 0.0235 0.218587 0.001080 17.156 0.001 43.972 0.000 286.342 0.081 72626.468 33.478 224.346 -18.045 2453149.85457 3.44 K04K19B +cla m -1 -1 S L4k02 23.24 0.056 g 6.89 42.554 0.003 17 4.0380 0.073 0.112 0.155 0.216 44.359851 0.0095 0.049814 0.000302 1.178 0.000 292.435 0.022 258.106 0.452 43096.423 119.111 224.247 -17.971 2453149.85457 2.77 K04K19E +cla m -1 -1 S L4k03 23.58 0.328 g 7.35 41.429 0.003 19 4.0381 0.139 0.131 0.353 0.258 44.122544 0.0111 0.063475 0.000212 0.108 0.000 327.413 0.316 278.068 0.426 57567.580 74.032 225.725 -17.360 2453149.85597 2.99 K04K19F +cla m -1 -1 S L4k04 24.18 0.176 g 7.85 42.363 0.003 16 2.0071 0.076 0.117 0.204 0.283 43.272025 0.0116 0.021635 0.000374 0.963 0.000 298.892 0.061 275.699 3.575 49274.800 986.001 225.512 -18.152 2453149.85737 2.94 K04K19G +xxx x -1 -1 x L4k05nt 23.65 0.173 R 7.86 37.460 3.080 8 0.0467 0.068 0.068 0.144 0.195 39.412234 16.5374 0.167075 1.939700 11.877 5.054 40.381 3.623 106.327 313.658 37190.189 29300.311 225.310 -18.996 2453149.85737 3.31 ------- +xxx x -1 -1 x L4k06nt 24.07 0.169 R 7.66 43.199 3.505 6 0.0467 0.068 0.073 0.154 0.134 44.160314 23.0231 0.481872 0.675221 12.350 6.391 48.008 0.615 297.749 56.142 70951.377 11385.428 226.337 -17.694 2453149.85877 2.70 ------- +sca x -1 -1 S L4k09 23.64 0.237 g 9.33 26.634 0.001 20 1.9386 0.064 0.108 0.209 0.203 30.191945 0.0033 0.185168 0.000291 13.586 0.001 235.598 0.000 295.040 0.075 46035.172 6.237 226.651 -18.947 2453149.86017 4.48 K04K18V +cla m -1 -1 I L4k10 24.32 0.075 g 7.64 46.026 0.002 24 5.8211 0.143 0.109 0.380 0.741 42.388028 0.0056 0.142670 0.000199 4.485 0.000 238.057 0.001 218.956 0.058 19445.363 17.385 227.384 -18.339 2453149.86157 2.69 K04K19K +res N 3 2 S L4k11 23.35 0.179 g 8.50 30.225 0.004 17 3.9539 0.068 0.049 0.175 0.170 39.258064 0.0310 0.236054 0.000477 5.637 0.000 240.601 0.000 6.795 0.076 55614.731 11.267 227.923 -18.843 2453149.86297 4.02 K04K19C +cla m -1 -1 S L4k12 23.12 0.162 g 6.68 43.587 0.002 20 4.9151 0.144 0.183 0.303 0.397 40.771605 0.0064 0.117209 0.000247 35.230 0.001 232.957 0.000 225.437 0.107 21298.918 30.005 227.029 -19.571 2453149.86297 3.04 K04K19H +cla m -1 -1 S L4k13 23.99 0.157 g 7.27 46.510 0.004 17 1.9412 0.087 0.076 0.157 0.253 46.238529 0.0166 0.124640 0.001909 7.035 0.002 238.491 0.001 253.402 0.123 25871.609 53.738 228.851 -18.956 2453149.86576 2.84 K06J58U +res N 5 2 S L4k14 24.05 0.155 g 8.64 34.441 0.002 14 2.0997 0.079 0.114 0.206 0.297 55.418575 0.0221 0.381906 0.000230 22.645 0.001 232.118 0.000 11.183 0.126 55126.852 21.577 229.121 -18.237 2453149.86716 3.61 K04K18Z +cla m -1 -1 S L4k15PD 23.24 0.069 g 7.17 40.146 0.001 23 1.9612 0.110 0.103 0.293 0.290 45.580328 0.0110 0.131303 0.000454 2.294 0.001 49.643 0.002 155.878 0.326 46405.873 74.936 230.955 -18.779 2453149.86996 3.06 K03L07B +res N 2 1 S L4k16 23.99 0.183 g 8.86 32.309 0.001 20 3.9481 0.097 0.141 0.176 0.348 47.659598 0.0112 0.322616 0.000137 5.732 0.000 38.550 0.001 199.229 0.033 53887.264 5.255 230.004 -19.920 2453149.87136 3.81 K04K19L +cla m -1 -1 S L4k17 23.02 0.162 g 7.13 38.510 0.002 16 2.1025 0.089 0.074 0.306 0.158 46.967058 0.0246 0.235428 0.000907 24.421 0.001 236.614 0.000 46.521 0.187 63402.637 29.232 230.613 -19.956 2453149.87136 3.26 K04K19J +cla i -1 -1 S L4k18 23.57 0.084 g 7.64 38.872 0.002 14 3.9482 0.070 0.109 0.162 0.262 38.256763 0.0067 0.017072 0.000157 2.126 0.000 4.705 0.014 68.462 1.032 14731.406 247.781 230.845 -20.290 2453149.87136 3.18 K04K19D +cla m -1 -1 S L4k19 23.79 0.109 g 7.95 38.030 0.002 17 2.1025 0.050 0.104 0.156 0.235 41.470909 0.0107 0.105883 0.000747 20.220 0.001 238.399 0.000 36.968 0.434 62529.739 88.353 230.151 -20.385 2453149.87136 3.31 K05JI6B +res N 2 1 S L4k20 23.93 0.144 g 8.61 33.827 0.002 18 4.0405 0.161 0.143 0.184 0.229 47.719831 0.0146 0.291797 0.000177 1.686 0.000 283.847 0.008 305.739 0.038 52237.178 6.420 231.821 -20.174 2453149.87418 3.54 K04K19M +sca x -1 -1 S L4m01 23.75 0.104 g 8.75 31.360 0.001 17 4.9911 0.221 0.118 0.298 0.261 33.467236 0.0042 0.332719 0.000081 8.205 0.000 289.554 0.000 94.455 0.012 65031.544 1.196 287.022 -23.161 2453181.95953 3.63 K04M08W +res N 3 2 S L4m02 23.41 0.185 g 8.94 27.791 0.001 16 2.3318 0.061 0.048 0.151 0.230 39.344312 0.0084 0.296774 0.000190 12.249 0.000 288.330 0.000 345.011 0.101 51712.312 12.972 286.508 -23.388 2453181.95953 4.16 K04M08S +cla m -1 -1 I L4m03 23.72 0.037 g 7.16 44.911 0.006 12 2.8911 0.106 0.161 0.286 0.388 43.120301 0.0181 0.041955 0.000394 2.239 0.001 87.239 0.010 26.486 1.295 3955.289 370.698 287.576 -23.192 2453181.96094 2.49 K04M08T +cla m -1 -1 S L4m04 23.32 0.131 g 7.33 39.076 0.001 15 3.9532 0.239 0.141 0.648 0.429 47.234126 0.0072 0.175028 0.000115 27.205 0.001 110.244 0.000 193.074 0.087 55715.866 19.654 294.402 -22.474 2453181.96944 2.87 K04M08V +res N 7 4 S L4n03 23.71 0.133 g 7.60 40.482 0.001 23 11.8033 0.080 0.133 0.182 0.367 43.650399 0.0050 0.125184 0.000062 9.727 0.000 110.765 0.000 238.696 0.034 67452.667 7.233 290.051 -21.820 2453208.93884 3.00 K04O15Q +cla m -1 -1 S L4n04 23.65 0.165 g 6.79 48.159 0.002 18 2.8939 0.015 0.094 0.075 0.163 44.856425 0.0096 0.081796 0.000597 3.580 0.001 109.745 0.000 336.428 0.636 99552.576 192.305 291.428 -21.996 2453208.94048 2.59 K04M08U +det x -1 -1 I L4n05 23.58 0.112 g 7.84 37.257 0.002 20 3.7838 0.078 0.109 0.343 0.388 56.248318 0.0187 0.338819 0.000194 6.919 0.000 285.221 0.001 13.015 0.038 54561.760 7.512 292.732 -21.018 2453208.94263 3.32 K04O15R +det x -1 -1 S L4n06 23.62 0.087 g 7.65 39.503 0.001 18 3.8766 0.070 0.098 0.206 0.330 55.760383 0.0147 0.316669 0.000198 4.248 0.001 123.603 0.001 202.815 0.046 59917.416 8.906 296.606 -20.520 2453208.94916 3.03 K04O15S +cla i -1 -1 I L4o01 23.02 0.067 g 7.08 38.723 0.002 16 3.7757 0.073 0.114 0.115 0.189 38.584206 0.0076 0.055319 0.000268 22.946 0.001 289.181 0.000 93.422 0.162 75219.294 45.259 287.058 -23.909 2453210.93076 3.19 K04O15P +cla m -1 -1 S L4p01 23.90 0.131 g 7.45 43.593 0.002 16 3.0853 0.119 0.079 0.340 0.256 42.983289 0.0065 0.041150 0.000599 1.238 0.001 0.123 0.030 194.781 0.372 22382.759 108.323 309.587 -19.519 2453232.83672 2.74 K04PB7T +cla m -1 -1 S L4p02 23.82 0.250 g 7.48 42.426 0.003 14 1.9438 0.100 0.139 0.204 0.302 42.817224 0.0089 0.014613 0.001012 1.874 0.000 23.106 0.036 336.275 3.113 67635.066 843.949 309.899 -20.320 2453232.83672 3.02 K04PB7U +cla m -1 -1 S L4p03 23.14 0.120 g 7.12 39.489 0.002 20 1.7170 0.056 0.137 0.132 0.364 46.068915 0.0168 0.153431 0.000416 4.324 0.001 329.217 0.005 314.285 0.285 47460.460 63.668 310.922 -19.770 2453232.84003 2.91 K04PB7V +det x -1 -1 S L4p04PD 22.03 0.015 g 6.24 37.574 0.001 29 4.9803 0.063 0.092 0.267 0.500 54.318332 0.0084 0.342164 0.000118 18.416 0.000 127.354 0.000 147.449 0.020 46245.218 3.343 313.190 -18.746 2453232.84665 3.27 K00P30E +cla m -1 -1 S L4p05 23.59 0.089 g 6.92 45.988 0.002 16 3.8112 0.109 0.095 0.176 0.249 43.620105 0.0084 0.060230 0.000220 1.862 0.001 81.353 0.019 72.886 0.340 8593.727 99.310 312.552 -19.196 2453232.84665 2.69 K04PB7W +cla m -1 -1 S L4p06PD 22.35 0.117 g 6.00 42.753 0.001 48 3.9377 0.114 0.045 0.168 0.322 43.835336 0.0041 0.083322 0.000272 1.547 0.000 108.746 0.006 125.789 0.045 33162.360 7.369 314.288 -17.891 2453232.85161 2.86 K01QT7Y +sca x -1 -1 S L4p07 22.41 0.345 g 7.66 29.586 0.001 19 4.8516 0.083 0.073 0.154 0.150 39.953648 0.0120 0.280856 0.000217 23.545 0.000 130.074 0.000 152.442 0.014 49048.719 1.681 314.402 -18.144 2453232.85326 4.16 K04PB7Y +cla m -1 -1 S L4p08PD 23.75 0.206 g 7.49 41.975 0.002 19 4.1811 0.054 0.083 0.347 0.215 44.282728 0.0085 0.064421 0.000215 1.856 0.000 15.978 0.014 258.683 0.307 43125.412 78.154 315.620 -18.637 2453232.85657 3.18 K01QT7Z +cla m -1 -1 S L4p09 23.51 0.077 g 6.84 46.149 0.003 14 1.9278 0.079 0.087 0.246 0.208 44.260877 0.0265 0.099653 0.001620 3.747 0.001 120.092 0.006 73.199 0.678 20334.037 217.503 316.202 -17.643 2453232.85823 2.83 K04PB7X +cla m -1 -1 I L4q03 23.57 0.068 g 7.45 40.574 0.002 23 4.9311 0.171 0.221 0.322 0.408 43.030054 0.0050 0.114461 0.000165 23.863 0.000 135.276 0.000 114.532 0.065 37667.401 11.767 317.960 -16.398 2453236.84857 3.26 K04Q29D +cla m -1 -1 S L4q05 23.51 0.081 g 7.75 37.465 0.003 12 1.9169 0.135 0.088 0.345 0.151 40.877929 0.0090 0.083725 0.000158 24.125 0.001 317.865 0.000 355.066 0.887 52185.708 197.943 319.881 -15.710 2453236.85603 3.22 K04Q29E +cla o -1 -1 S L4q06 24.02 0.266 g 8.23 37.784 0.003 12 1.9169 0.081 0.136 0.184 0.300 48.479526 0.0144 0.235173 0.000554 27.134 0.001 319.895 0.000 333.670 0.302 47898.851 59.379 321.564 -15.450 2453236.86256 3.46 K04Q29G +cla m -1 -1 S L4q09 24.11 0.153 g 7.50 45.741 0.004 15 1.9168 0.097 0.204 0.187 0.505 46.518611 0.0098 0.022323 0.001189 4.594 0.001 330.618 0.003 308.387 3.699 40159.245 1120.005 323.899 -15.127 2453236.86907 2.80 K00P30D +cla i -1 -1 S L4q10 23.66 0.163 g 7.85 38.123 0.001 40 9.2065 0.069 0.160 0.292 0.375 38.026517 0.0033 0.025239 0.000046 4.000 0.000 127.498 0.001 292.300 0.145 75664.562 37.073 325.156 -15.044 2453236.87071 3.37 J99O04J +cla m -1 -1 I L4q11 23.94 0.157 g 7.50 44.046 0.001 35 8.1663 0.165 0.139 0.479 0.396 45.984694 0.0056 0.120138 0.000093 2.088 0.000 113.802 0.003 132.565 0.044 33314.552 9.294 325.007 -15.045 2453236.87071 3.15 J99O04M +cla i -1 -1 S L4q12PD 24.11 0.094 g 8.49 36.522 0.004 20 5.0842 0.037 0.121 0.152 0.278 37.821855 0.0148 0.034975 0.000271 4.458 0.000 126.853 0.001 206.543 0.342 55680.276 75.066 324.879 -15.294 2453236.87071 3.42 K00O51B +res N 11 5 I L4q14 23.54 0.052 g 7.54 39.866 0.003 19 2.1761 0.204 0.499 0.797 0.840 50.859008 0.0291 0.229217 0.000961 12.010 0.001 326.678 0.000 20.084 0.513 58776.966 111.518 325.005 -14.939 2453236.87071 3.05 K04Q29H +cla m -1 -1 S L4q15 24.08 0.277 g 7.97 40.892 0.002 38 8.1663 0.178 0.350 0.380 0.367 42.640563 0.0063 0.041033 0.000107 3.187 0.000 133.062 0.000 187.231 0.105 52710.489 27.162 324.727 -14.611 2453236.87236 3.13 J99O04N +cla m -1 -1 S L4q16 23.76 0.173 g 7.20 45.248 0.001 61 8.1608 0.050 0.249 0.360 0.325 44.946946 0.0037 0.064780 0.000078 2.660 0.000 134.393 0.000 88.145 0.056 25050.858 20.235 324.537 -14.508 2453236.87236 2.54 K04Q29F +cla m -1 -1 S L4v03 22.85 0.142 g 6.73 40.709 0.003 13 2.0396 0.025 0.083 0.067 0.183 43.951488 0.0165 0.073950 0.000265 0.490 0.000 124.923 0.127 278.952 1.089 54396.073 274.246 37.214 14.165 2453318.88100 3.26 K04VD1C +sca x -1 -1 S L4v04 24.14 0.110 g 9.09 31.848 0.001 14 1.9519 0.136 0.088 0.352 0.275 64.100391 0.0429 0.506381 0.000352 13.642 0.001 42.724 0.000 345.332 0.077 51651.054 11.140 37.073 13.781 2453318.88100 3.98 K04VD1G +res N 5 3 S L4v05 24.10 0.213 g 8.12 39.555 0.002 14 1.9488 0.195 0.210 0.427 0.567 42.296966 0.0258 0.258892 0.001285 5.198 0.001 219.187 0.001 272.421 0.051 70370.404 18.285 38.559 14.937 2453318.88425 3.44 K04VD1E +res N 2 1 S L4v06 23.63 0.171 g 8.50 32.544 0.001 18 1.9488 0.069 0.216 0.180 0.640 47.755360 0.0223 0.330146 0.000406 1.467 0.001 67.536 0.011 312.155 0.111 49880.759 16.773 38.667 14.447 2453318.88425 3.77 K04V78K +res N 3 1 S L4v08 23.92 0.184 g 6.95 49.685 0.002 23 4.0734 0.081 0.154 0.268 0.435 62.193747 0.0553 0.428055 0.000742 8.024 0.001 42.958 0.000 271.531 0.016 33264.625 13.401 39.025 15.049 2453318.88752 2.56 K04VD0U +res N 3 2 S L4v09 23.56 0.085 g 8.14 34.753 0.001 19 4.7750 0.186 0.369 0.397 0.541 39.459616 0.0080 0.208016 0.000145 5.745 0.000 44.431 0.000 291.284 0.032 41945.851 4.582 38.732 14.828 2453318.88752 3.48 K04VD0X +res N 7 4 S L4v10 23.90 0.247 g 7.67 41.971 0.002 23 4.7750 0.202 0.261 0.742 0.526 43.665389 0.0085 0.214605 0.000186 0.817 0.000 246.487 0.013 63.786 0.036 33574.622 7.181 39.620 15.815 2453318.88913 3.18 K04VD1F +sca x -1 -1 S L4v11 24.19 0.239 g 9.94 26.757 0.001 26 2.8394 0.065 0.251 0.257 0.298 60.035908 0.0177 0.629283 0.000144 11.972 0.000 39.623 0.000 308.144 0.012 48042.419 0.406 40.467 16.569 2453318.89236 4.43 K04VD1H +res N 3 2 S L4v12 23.99 0.095 g 9.35 29.172 0.001 28 4.7750 0.160 0.159 0.408 0.653 39.551772 0.0039 0.281562 0.000058 11.582 0.000 40.070 0.000 334.520 0.013 49436.557 1.596 39.873 16.107 2453318.89236 4.61 K04VD0Z +res N 3 2 S L4v13 22.72 0.107 g 7.59 32.762 0.001 28 4.7750 0.101 0.171 0.303 0.374 39.452107 0.0041 0.188190 0.000078 23.923 0.000 46.450 0.000 29.101 0.021 58600.977 3.384 42.535 15.567 2453318.89728 3.99 K04VD0V +cla m -1 -1 S L4v14 23.32 0.109 g 7.16 41.486 0.003 25 2.1847 0.143 0.146 0.415 0.496 46.324366 0.0108 0.122529 0.001291 3.646 0.001 36.126 0.002 333.132 0.886 44415.981 208.027 41.952 16.744 2453318.89893 3.08 K04VD1D +sca x -1 -1 S L4v15 22.47 0.029 g 8.91 22.950 0.000 23 16.4158 0.277 0.220 0.313 0.337 68.385618 0.0181 0.698262 0.000073 14.032 0.000 225.910 0.000 137.746 0.003 50102.308 0.181 42.034 16.519 2453318.89893 5.17 K04VD1M +res N 3 2 S L4v18 22.95 0.223 g 8.41 28.478 0.000 33 4.7750 0.422 0.618 0.438 0.660 39.340357 0.0036 0.276133 0.000057 10.203 0.000 222.369 0.000 180.718 0.012 53431.646 1.583 39.638 15.482 2453318.88913 4.43 K04VD0Y +cla m -1 -1 S L5c02 23.59 0.131 g 7.10 44.246 0.001 20 3.2275 0.144 0.181 0.266 0.482 45.735469 0.0073 0.035346 0.000554 1.791 0.000 40.983 0.024 68.139 1.659 46479.072 480.790 135.629 18.776 2453411.79591 2.99 K06C69H +cla m -1 -1 S L5c03 23.96 0.269 g 7.83 40.768 0.002 15 2.0291 0.211 0.051 0.435 0.160 42.714559 0.0122 0.046659 0.000297 3.084 0.001 103.831 0.009 42.495 2.284 56740.327 586.804 136.108 18.357 2453411.79591 3.13 K05C81E +cla m -1 -1 S L5c06 24.30 0.267 g 7.67 45.810 0.003 15 2.7438 0.108 0.171 0.335 0.323 45.440829 0.0166 0.077212 0.000982 1.185 0.001 356.748 0.031 236.938 0.240 81874.169 87.489 135.799 17.688 2453411.79754 2.93 K07C79Q +cla m -1 -1 S L5c07PD 22.92 0.117 g 6.70 41.664 0.001 29 2.0291 0.200 0.174 0.524 0.533 43.397612 0.0074 0.102835 0.000736 7.869 0.001 318.434 0.000 101.854 0.128 35521.976 16.708 135.522 17.693 2453411.79754 3.19 K05XA0U +res N 5 3 S L5c08 23.59 0.243 g 8.06 35.541 0.001 19 5.1030 0.088 0.319 0.123 0.619 42.174502 0.0053 0.228308 0.000105 17.916 0.000 130.429 0.000 59.435 0.044 63678.250 6.222 135.338 17.796 2453411.79754 3.74 K06C69J +cla m -1 -1 S L5c10PD 24.02 0.051 g 7.73 42.330 0.001 25 6.1631 0.096 0.224 0.183 0.244 45.325142 0.0048 0.066507 0.000076 3.205 0.000 313.356 0.000 187.527 0.124 55270.265 33.480 136.282 16.641 2453411.80078 3.02 J99CB9J +res N 3 2 S L5c11 23.87 0.278 g 7.31 45.199 0.002 15 3.2302 0.143 0.104 0.327 0.411 39.262363 0.0043 0.151580 0.000075 21.344 0.001 317.871 0.000 2.160 0.456 9684.992 112.553 139.121 16.367 2453411.80733 3.06 K05C81D +res N 12 5 S L5c12 22.30 0.021 g 6.70 36.324 0.003 17 4.1829 0.055 0.026 0.170 0.110 53.891995 0.0189 0.346510 0.000482 15.733 0.000 317.033 0.000 151.062 0.148 48161.802 24.671 138.659 16.210 2453411.80733 3.49 K02CM4Y +res N 5 3 S L5c13PD 23.85 0.247 g 7.64 41.806 0.002 24 6.1630 0.047 0.069 0.260 0.234 42.239989 0.0044 0.233872 0.000191 9.757 0.000 127.991 0.000 110.316 0.018 74036.449 5.758 139.960 17.263 2453411.80899 3.10 J99CD1X +cla m -1 -1 S L5c14 23.41 0.091 g 7.74 36.875 0.001 15 3.2302 0.120 0.114 0.189 0.270 47.148903 0.0061 0.218764 0.000104 21.869 0.001 133.275 0.000 357.313 0.131 52110.897 26.834 139.417 17.212 2453411.80899 3.52 K07C79R +det x -1 -1 IH L5c15 24.09 0.113 g 8.34 37.611 0.002 19 5.1030 0.165 0.154 0.322 0.530 55.172539 0.0196 0.318313 0.000212 5.137 0.000 122.792 0.001 15.344 0.042 53582.121 8.589 139.995 16.959 2453411.80899 3.37 K05C81H +cla o -1 -1 I L5c16 23.14 0.122 g 6.64 44.628 0.001 22 11.2333 0.199 0.227 0.454 0.537 53.848777 0.0075 0.237346 0.000068 26.153 0.000 134.664 0.000 56.941 0.027 67196.879 5.629 139.807 16.901 2453411.80899 2.95 K05C81G +cla m -1 -1 S L5c18 23.77 0.064 g 7.46 42.791 0.003 15 2.7438 0.191 0.114 0.475 0.272 44.159105 0.0095 0.035816 0.000379 1.540 0.001 330.284 0.006 135.837 1.194 44756.669 326.402 139.752 16.021 2453411.81064 3.01 K07C79S +res N 7 3 S L5c19PD 24.08 0.075 g 8.50 36.160 0.001 21 5.0248 0.076 0.132 0.234 0.426 53.039909 0.0097 0.389128 0.000104 5.466 0.000 135.182 0.000 310.946 0.023 44677.213 2.822 139.544 15.916 2453411.81064 3.51 K06C69K +cla m -1 -1 I L5c20PD 24.12 0.151 g 7.33 47.707 0.002 24 4.7948 0.102 0.354 0.338 0.926 44.980389 0.0083 0.063039 0.000268 1.687 0.000 66.511 0.018 266.115 0.380 3531.602 115.214 140.531 17.121 2453411.81228 2.80 K02CM4Z +cla m -1 -1 IH L5c21PD 23.75 0.198 g 7.11 46.186 0.002 32 2.0263 0.282 0.255 1.209 1.126 44.126005 0.0080 0.068045 0.000727 3.296 0.001 342.001 0.006 291.972 0.649 92193.042 195.298 140.712 16.798 2453411.81228 2.95 K05ET6E +cla m -1 -1 S L5c22 23.55 0.203 g 7.06 44.605 0.002 17 2.0128 0.108 0.099 0.347 0.188 43.990748 0.0125 0.084744 0.001410 1.389 0.000 26.525 0.044 216.003 0.236 81423.164 78.204 141.083 16.622 2453411.81228 2.97 K07DA1S +res N 4 3 S L5c23 24.19 0.088 g 8.85 34.379 0.001 16 11.2333 0.070 0.122 0.124 0.515 36.473497 0.0073 0.063565 0.000158 0.405 0.000 109.642 0.014 2.007 0.042 48092.807 7.630 141.044 15.460 2453411.81392 3.74 K05C81F +cla m -1 -1 S L5c24PD 23.84 0.398 g 7.54 42.737 0.002 24 8.0088 0.097 0.311 0.377 0.939 44.171950 0.0083 0.065197 0.000095 2.698 0.000 139.273 0.001 295.579 0.138 36481.395 33.989 140.609 15.333 2453411.81392 3.10 J99CF3U +cla m -1 -1 S L5i01 23.71 0.313 g 7.55 40.982 0.003 17 2.0094 0.167 0.182 0.733 0.515 42.777915 0.0064 0.046152 0.000555 3.303 0.001 52.045 0.004 164.791 1.454 46847.807 371.630 240.578 -21.315 2453502.94350 3.09 K06HC3A +cla m -1 -1 I L5i02PD 23.80 0.155 g 7.78 39.589 0.001 27 5.9799 0.079 0.157 0.271 0.214 46.012882 0.0059 0.216135 0.000130 10.460 0.000 61.830 0.000 241.743 0.021 66258.629 3.300 241.748 -21.227 2453502.94678 3.17 K01K76W +cla m -1 -1 S L5i03PD 23.80 0.242 g 7.98 37.695 0.002 21 5.0275 0.186 0.103 0.340 0.317 43.898185 0.0080 0.145688 0.000120 20.726 0.000 245.590 0.000 16.063 0.083 57052.309 17.879 243.858 -21.340 2453502.95334 3.12 K01K77O +det x -1 -1 S L5i04 23.14 0.119 g 7.28 38.099 0.001 19 10.9901 0.017 0.099 0.096 0.225 47.275244 0.0050 0.244201 0.000058 27.251 0.000 63.150 0.000 229.403 0.011 63017.377 2.077 243.610 -22.418 2453502.95497 3.21 K05JI6K +cla m -1 -1 I L5i05 23.71 0.073 g 7.16 44.620 0.017 16 2.9872 0.179 0.063 0.266 0.111 44.077094 0.0468 0.068484 0.001711 2.139 0.001 31.887 0.013 109.705 0.488 24869.436 179.452 243.983 -22.526 2453502.95498 2.73 K05JI5Y +res N 3 2 S L5i06PD 23.13 0.059 g 7.48 36.173 0.001 30 8.2408 0.125 0.024 0.396 0.176 39.507206 0.0030 0.156476 0.000050 15.616 0.000 248.483 0.000 64.744 0.024 66042.918 3.599 246.656 -21.855 2453502.96319 3.29 K01K77Q +cla m -1 -1 S L5i08 23.50 0.090 g 7.21 41.831 0.002 16 2.0094 0.051 0.107 0.158 0.263 44.635916 0.0096 0.094308 0.001026 4.141 0.001 63.766 0.002 238.327 0.564 66861.403 126.884 248.431 -22.403 2453502.96647 2.83 K05JI6J +det x -1 -1 I L5j02 23.28 0.124 g 6.86 43.135 0.003 20 2.9080 0.066 0.395 0.201 0.585 67.354055 0.0466 0.462792 0.000488 22.443 0.001 65.560 0.000 236.833 0.056 66043.022 6.036 239.843 -19.040 2453531.89687 2.60 K05L54C +cla m -1 -1 S L5j03 23.16 0.072 g 6.89 41.643 0.003 16 1.9327 0.089 0.103 0.245 0.187 44.314082 0.0157 0.067189 0.000572 7.919 0.001 70.662 0.001 198.865 1.010 60858.990 259.691 239.362 -19.153 2453531.89687 2.84 K05L54A +cla m -1 -1 IH L5j04 22.56 0.121 g 6.28 41.810 0.003 12 1.9302 0.030 0.082 0.104 0.245 43.689694 0.0170 0.047521 0.000659 3.006 0.001 96.056 0.014 173.227 1.729 60541.746 455.285 240.913 -19.040 2453531.90017 2.86 K05L54B +det x -1 -1 I L5r01 23.70 0.254 g 7.74 39.045 0.002 27 3.8910 0.201 0.099 0.449 0.410 153.761629 0.0904 0.746377 0.000137 20.447 0.000 306.114 0.001 32.537 0.029 52807.928 5.426 337.966 4.135 2453616.80423 3.24 K05R52H +cla m -1 -1 S L5s01PD 20.84 0.021 g 4.35 43.708 0.001 35 23.9200 0.164 0.164 0.201 0.599 42.027544 0.0036 0.106671 0.000028 23.931 0.000 280.095 0.000 309.721 0.032 24235.560 11.119 337.949 15.047 2453616.82908 2.97 K04S60B +det x -1 -1 I L7a02 23.50 0.328 g 7.55 38.903 0.001 17 3.1620 0.071 0.156 0.170 0.263 50.398033 0.0165 0.290541 0.000467 14.295 0.001 317.225 0.000 122.624 0.068 43918.716 9.030 133.743 19.222 2454119.80897 3.23 K06WK6G +sca x -1 -1 S L7a03 23.84 0.016 g 7.11 46.991 0.002 19 2.8476 0.122 0.175 0.411 0.419 59.613266 0.0435 0.439491 0.000646 4.575 0.001 327.938 0.003 248.628 0.014 72028.353 8.442 133.914 18.780 2454119.80897 2.67 K06BS4S +cla m -1 -1 S L7a04PD 23.25 0.101 g 6.08 51.774 0.002 34 7.1297 0.411 0.115 1.059 0.815 46.198229 0.0047 0.146393 0.000132 7.038 0.000 300.707 0.000 337.759 0.075 98884.655 24.333 130.872 17.137 2454119.83928 2.50 K02CO8Y +cla m -1 -1 I L7a05 23.77 0.303 g 7.53 41.807 0.001 21 5.0132 0.194 0.102 0.399 0.248 43.681525 0.0068 0.045164 0.000086 7.981 0.000 116.078 0.001 28.455 0.328 58476.771 87.316 131.253 19.832 2454119.81365 2.91 K05B49V +cla m -1 -1 S L7a06 23.72 0.067 g 7.23 44.357 0.002 19 2.1791 0.138 0.094 0.420 0.329 43.499576 0.0050 0.042456 0.003473 2.056 0.000 58.110 0.027 188.279 2.262 87660.748 660.397 129.885 20.426 2454119.81674 2.99 K06WK6F +cla m -1 -1 S L7a07 23.43 0.249 g 7.19 41.946 0.002 16 5.0131 0.058 0.082 0.143 0.245 44.080188 0.0084 0.078180 0.000200 2.103 0.000 58.990 0.014 121.798 0.192 68074.335 45.044 129.871 20.466 2454119.81674 3.04 K05B49W +res N 4 3 I L7a10 23.65 0.001 g 8.77 30.603 0.001 22 4.9551 0.086 0.513 0.413 0.748 36.657304 0.0040 0.188072 0.000044 17.152 0.000 311.854 0.000 209.680 0.047 59036.161 6.757 132.631 18.432 2454119.81997 4.03 K05GM8H +cla m -1 -1 S L7a11PD 23.27 0.133 g 6.25 49.315 0.001 46 7.0285 0.080 0.199 0.317 0.551 47.045919 0.0037 0.147499 0.000121 19.270 0.000 307.259 0.000 55.594 0.031 18502.074 12.409 129.284 18.767 2454119.82759 2.84 K00CA5O +xxx x -1 -1 x l3f05nt 23.65 0.170 g 7.76 38.554 2.818 4 0.0082 0.092 0.048 0.182 0.094 39.596763 20.7993 0.026636 0.579012 25.893 10.876 189.614 1.437 12.070 1273.444 54828.149 304898.710 192.346 -3.703 2452722.98130 3.41 ------- +xxx x -1 -1 x l3q05nt 23.51 0.126 g 7.05 43.953 2.546 4 0.0113 0.037 0.047 0.074 0.095 44.883509 23.3049 0.021042 0.563063 2.929 0.897 182.053 11.488 136.857 1603.007 49994.199 468808.772 330.193 -10.411 2452882.82951 2.78 ------- +xxx x -1 -1 x l3q07nt 23.92 0.191 g 7.32 45.514 2.692 7 0.0113 0.097 0.173 0.337 0.464 46.563301 24.1731 0.022719 0.562999 15.794 5.791 146.601 1.071 175.265 1487.328 50526.285 457637.527 331.642 -12.503 2452882.83777 3.09 ------- +xxx x -1 -1 x l3w14nt 23.40 0.200 g 8.70 29.280 3.899 3 0.0001 0.047 0.105 0.071 0.158 30.268997 16.2312 0.033226 0.597713 2.316 19.617 254.934 10.260 168.043 1029.129 51291.561 162465.527 71.973 22.456 2452989.82962 4.31 ------- +xxx x -1 -1 x l3w19nt 23.70 0.300 g 7.35 43.087 6.793 3 0.0001 0.003 0.088 0.005 0.132 44.049657 22.8804 0.021980 0.577759 4.588 35.143 269.286 87.246 162.615 1539.601 51244.154 436096.622 76.820 23.804 2452989.83624 3.06 ------- +xxx x -1 -1 x l4h03nt 23.55 0.012 g 7.40 40.734 2.658 4 0.0027 0.035 0.018 0.070 0.036 41.672142 21.7326 0.023342 0.570890 13.885 5.544 24.141 0.870 162.117 1447.748 49013.739 376586.000 200.282 -7.988 2453121.82210 3.02 ------- +xxx x -1 -1 x l4h17nt 23.63 0.063 g 7.17 44.028 2.511 4 0.0027 0.053 0.042 0.104 0.084 44.937717 23.3148 0.020530 0.561849 1.803 0.367 131.367 50.364 67.325 1645.627 50295.181 481672.039 206.782 -9.131 2453121.83769 2.80 ------- +xxx x -1 -1 x l4h19nt 23.72 0.125 g 8.11 36.194 2.778 4 0.0027 0.027 0.046 0.055 0.092 37.260343 19.6963 0.028826 0.583744 24.743 10.469 207.080 0.705 354.511 1179.533 51565.703 256607.743 206.604 -10.224 2453121.83911 3.64 ------- +xxx x -1 -1 x l4k08nt 24.26 0.293 g 9.30 30.923 2.433 4 0.0028 0.093 0.095 0.188 0.190 32.066642 17.1871 0.036509 0.587414 5.357 2.100 36.496 5.423 180.839 938.304 50947.403 160192.019 226.866 -18.917 2453149.86017 4.19 ------- +xxx x -1 -1 x l4o02nt 23.52 0.089 g 7.17 42.566 0.314 7 0.8900 0.053 0.050 0.162 0.078 46.724686 15.1755 0.166455 1.048451 3.694 0.052 309.241 0.326 44.170 176.393 69277.497 23962.027 288.561 -23.769 2453210.93219 2.86 ------- +xxx x -1 -1 x l4q01nt 23.81 0.056 g 7.14 46.109 7.360 3 0.0002 0.054 0.011 0.079 0.017 46.998590 24.3196 0.019420 0.578658 1.181 7.032 56.983 1705.297 245.583 2432.915 49117.179 545591.096 318.250 -17.343 2453236.84692 2.79 ------- +xxx x -1 -1 x l4q02nt 23.76 0.247 g 7.69 40.130 2.868 4 0.0028 0.096 0.088 0.187 0.172 41.048390 21.4778 0.022923 0.577810 22.642 9.483 319.772 2.059 342.291 1475.887 49935.084 375773.502 318.137 -18.098 2453236.84692 3.12 ------- +xxx x -1 -1 x l4q04nt 23.70 0.113 g 7.28 43.550 2.559 5 0.0028 0.167 0.022 0.248 0.048 44.530583 23.1503 0.022441 0.563684 3.251 1.584 122.086 7.009 182.723 1506.146 49948.639 433345.957 318.661 -16.831 2453236.85278 2.84 ------- +xxx x -1 -1 x l4q08nt 23.30 0.110 g 7.67 36.543 5.517 3 0.0002 0.081 0.053 0.122 0.080 37.560311 19.8230 0.027195 0.594165 19.018 29.811 136.724 6.931 178.797 1249.776 52009.942 276080.650 323.542 -15.983 2453236.86744 3.51 ------- +xxx x -1 -1 x l4v07nt 23.62 0.115 g 7.01 45.717 7.800 3 0.0001 0.065 0.019 0.097 0.029 46.683473 24.1816 0.020817 0.579722 9.666 40.663 41.973 2.164 353.447 1621.981 51443.865 503035.907 38.943 15.152 2453318.88752 2.87 ------- +xxx x -1 -1 x l4v16nt 24.30 0.431 g 7.77 44.821 7.426 3 0.0001 0.004 0.044 0.005 0.066 45.787225 23.7375 0.021277 0.578689 5.368 38.262 223.404 22.784 169.364 1587.500 51076.213 477781.355 37.567 15.128 2453318.88264 2.92 ------- +xxx x -1 -1 x l4v17nt 24.19 0.197 g 8.47 37.334 8.357 3 0.0001 0.013 0.030 0.019 0.045 38.324387 20.3225 0.025911 0.638360 36.844 54.296 41.164 1.268 356.583 1310.222 52350.463 299150.168 39.080 15.818 2453318.88913 3.63 ------- +xxx x -1 -1 x l4v19nt 23.99 0.427 g 9.45 28.642 3.759 3 0.0001 0.023 0.074 0.034 0.110 29.663844 15.9788 0.034474 0.599209 4.246 18.815 213.399 51.185 188.953 994.222 52945.777 151680.392 42.478 15.412 2453318.89728 4.46 ------- +xxx x -1 -1 x l5c01nt 24.05 0.554 g 8.29 37.428 3.496 3 0.0003 0.057 0.041 0.085 0.062 38.403409 20.1725 0.025660 0.580622 24.388 17.754 130.311 1.629 353.619 1321.883 51445.275 302827.158 134.801 18.069 2453411.79429 3.46 ------- +xxx x -1 -1 x l5c04nt 24.21 0.332 g 8.39 37.952 3.065 3 0.0003 0.003 0.149 0.004 0.223 38.913248 20.3759 0.024985 0.569537 3.689 12.020 118.559 49.360 6.012 1358.120 51353.302 317403.272 135.871 17.806 2453411.79754 3.41 ------- +xxx x -1 -1 x l7a12nt 23.86 0.127 g 8.62 33.209 2.928 6 0.0002 0.299 0.054 0.486 0.109 34.198990 18.1132 0.029360 0.579510 6.341 11.677 117.519 19.185 20.220 1158.764 56018.485 221512.146 130.759 19.386 2454119.82608 3.79 ------- +cla m -1 -1 S o3e20PD 23.96 0.162 g 7.71 41.568 0.001 54 15.9186 0.120 0.043 0.251 0.172 43.237096 0.0034 0.039490 0.000059 1.171 0.000 56.759 0.002 171.768 0.027 59765.942 7.205 201.813 -8.446 2453121.82494 2.99 K01FI5K +cla m -1 -1 S o3e37PD 23.64 0.234 g 7.08 44.621 0.001 50 12.8304 0.074 0.063 0.336 0.367 43.964762 0.0027 0.046419 0.000036 3.316 0.000 45.295 0.000 282.562 0.062 87786.414 20.052 204.297 -8.912 2453121.83202 2.77 K04H79J +res N 3 2 S o3l13PD 23.50 0.146 g 7.98 37.060 0.001 47 11.3123 0.094 0.044 0.247 0.226 39.427518 0.0024 0.165903 0.000045 8.345 0.000 175.647 0.000 118.526 0.012 41523.381 1.899 355.296 -1.955 2452909.86654 3.60 K03SV7R +cla m -1 -1 S o5c051PD 24.15 0.218 g 7.97 41.429 0.001 44 13.0925 0.054 0.061 0.296 0.158 45.556838 0.0037 0.096773 0.000055 0.768 0.000 207.642 0.003 182.975 0.029 51527.312 7.416 35.083 13.849 2453318.87451 2.99 K04VD1A +cla m -1 -1 S o5d135PD 23.81 0.013 g 7.11 46.964 0.001 51 12.2133 0.030 0.095 0.108 0.164 44.196500 0.0029 0.071842 0.000051 1.746 0.000 50.391 0.000 207.533 0.046 13054.386 14.171 36.094 13.941 2453318.87776 2.89 K04VD1B +res N 17 9 I o5t34PD 24.01 0.212 g 7.45 43.017 0.001 68 13.9934 0.058 0.088 0.269 0.166 45.958178 0.0029 0.169721 0.000033 5.081 0.000 347.100 0.000 96.968 0.014 75861.446 2.711 352.197 -2.888 2452909.86229 2.68 K03SV7P diff --git a/src/ossssim/Characterizations/CFEPS/CFEPS.detections b/src/ossssim/Characterizations/CFEPS/CFEPS.detections new file mode 100644 index 0000000..bf9ac80 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/CFEPS.detections @@ -0,0 +1,213 @@ +# File: CFEPS.detections +# +# cl p j k sh object mag e_mag Filt Hsur dist e_dist Nobs time av_xres av_yres max_x max_y a e_a e e_e i e_i Omega e_Omega omega e_omega tperi e_tperi RAdeg DEdeg JD rate MPC +xxx x -1 -1 x K02O01nt 23.80 0.170 R 6.05 59.018 4.579 8 0.0815 0.046 0.120 0.168 0.337 58.889224 30.2202 0.529878 1.093125 178.637 0.665 293.971 17.540 90.149 95.529 79927.183 50629.193 328.743 -13.461 2452491.90898 2.67 ------- +res N 7 4 S K02O03 23.30 0.170 R 7.33 39.093 0.001 28 4.0334 0.461 0.410 1.564 0.901 43.685749 0.0047 0.189021 0.000223 0.753 0.000 182.593 0.023 78.011 0.050 38671.954 5.780 328.806 -12.171 2452491.91434 3.20 K00O67P +xxx x -1 -1 x K02O10nt 23.60 0.216 R 7.30 42.144 6.653 8 0.0816 0.081 0.110 0.141 0.270 45.495761 21.2109 0.480207 1.237844 2.586 2.149 120.029 23.406 316.881 102.162 69288.959 12142.173 329.202 -13.761 2452491.91710 3.03 ------- +res N 2 1 S K02O12 23.40 0.154 R 6.61 47.184 0.003 18 2.9271 0.193 0.213 0.397 0.601 47.750796 0.0241 0.221323 0.000890 1.918 0.001 329.086 0.001 97.479 0.056 77336.303 32.567 329.342 -12.549 2452491.92303 2.76 K02PH0U +cla m -1 -1 S K02O20 22.10 0.247 R 5.79 42.209 0.001 35 6.9760 0.143 0.164 0.512 0.420 42.664194 0.0049 0.013740 0.000070 1.272 0.000 88.444 0.013 277.807 0.566 63370.416 154.678 329.692 -13.521 2452491.92871 2.98 K02PH0V +xxx x -1 -1 x K02O31nt 23.30 0.300 R 7.17 40.458 2.530 4 0.0109 0.073 0.025 0.147 0.049 41.472773 21.6611 0.025402 0.568329 2.470 0.738 353.110 7.957 350.886 1333.880 56602.863 342426.297 330.978 -13.023 2452491.94486 3.19 ------- +cla m -1 -1 S K02O32 22.60 0.152 R 5.79 47.426 0.002 30 2.0910 0.175 0.207 0.656 0.794 44.884435 0.0238 0.074492 0.002150 3.933 0.001 339.814 0.004 205.824 2.383 10814.170 734.108 330.626 -12.896 2452491.94783 2.67 K02PH0W +cla m -1 -1 S K02O40 23.60 0.082 R 7.20 43.036 0.006 13 2.1187 0.131 0.200 0.441 0.452 43.013603 0.0086 0.030375 0.002915 3.017 0.001 110.815 0.013 124.935 0.305 26963.118 94.270 331.634 -13.652 2452491.95342 2.81 K02PH0Y +xxx x -1 -1 x K02O41nt 23.80 0.249 R 7.47 42.364 1.670 8 0.0815 0.042 0.088 0.076 0.269 47.460318 24.6404 0.212736 0.637472 1.272 0.012 68.921 2.716 188.666 98.918 36193.188 20528.513 331.469 -13.067 2452491.95603 2.92 ------- +cla m -1 -1 S K02O43 23.50 0.047 R 7.13 42.726 0.003 20 2.1077 0.202 0.251 0.454 0.691 44.701614 0.0072 0.058885 0.001037 3.574 0.001 336.730 0.002 308.761 1.083 40636.179 278.171 331.817 -12.089 2452491.96288 2.89 K02PH1C +cla m -1 -1 S K02P32 23.20 0.132 R 6.83 42.794 0.001 19 2.0914 0.096 0.185 0.256 0.424 42.653669 0.0288 0.041347 0.004217 1.570 0.001 119.105 0.023 112.033 1.166 26449.539 353.679 330.853 -12.753 2452491.94783 2.82 K03QB3Z +cla m -1 -1 S K02P41 23.20 0.160 R 6.36 47.690 0.010 14 2.1156 0.123 0.161 0.353 0.641 44.344810 0.0310 0.075723 0.003435 2.511 0.001 109.599 0.027 34.351 20.220 104788.290 6041.129 331.577 -13.380 2452491.95603 2.57 K02PH1A +det x -1 -1 S L3f01 23.48 0.127 g 7.66 38.013 0.002 13 2.2963 0.071 0.115 0.246 0.309 61.712686 0.0235 0.384044 0.000227 5.793 0.001 28.031 0.003 161.953 0.293 52622.702 59.363 190.581 -2.606 2452722.96126 3.23 K03FC9Z +res N 5 2 S L3f04PD 22.56 0.062 g 6.97 36.013 0.002 36 2.9983 0.774 0.449 0.800 0.497 55.286289 0.0289 0.402014 0.000427 5.869 0.000 3.921 0.000 143.214 0.046 45053.297 5.749 190.493 -5.385 2452722.96628 3.46 K00F08E +res N 3 2 S L3h01 23.12 0.112 r 7.81 33.324 0.001 21 2.2715 0.232 0.633 0.495 1.176 39.492378 0.0060 0.157495 0.000095 9.114 0.001 197.976 0.000 7.021 0.286 54322.837 51.660 194.416 -6.450 2452755.82408 3.62 K04FG4W +cla m -1 -1 S L3h04 23.59 0.183 r 6.94 45.469 0.002 22 4.0546 0.317 0.218 0.863 0.512 47.196094 0.0088 0.223870 0.000378 29.525 0.001 197.544 0.000 265.169 0.023 30420.334 10.879 194.534 -6.883 2452755.82408 2.87 K03H56X +cla m -1 -1 S L3h05 23.30 0.134 r 6.95 42.450 0.002 16 2.2091 0.183 0.261 0.563 0.651 42.603511 0.0076 0.036813 0.005146 2.578 0.001 35.620 0.009 247.517 0.966 75954.552 113.600 195.268 -5.585 2452755.82670 2.99 K03H56Y +sca x -1 -1 I L3h08 23.59 0.177 r 7.66 38.445 0.001 22 5.1218 0.128 0.239 0.248 0.360 159.681973 0.1233 0.761413 0.000176 15.500 0.000 197.871 0.000 10.841 0.013 54874.804 2.236 195.127 -6.718 2452755.83459 3.02 K03H57B +cla m -1 -1 S L3h09 22.12 0.048 r 5.67 43.430 0.002 20 2.2113 0.149 0.166 0.461 0.551 44.046269 0.0248 0.071521 0.004999 1.038 0.001 234.051 0.041 46.116 0.673 74897.734 49.883 195.390 -7.250 2452755.83459 2.82 K03H57C +xxx x -1 -1 x L3h10nt 22.84 0.085 r 7.80 31.300 0.678 7 0.0932 0.059 0.065 0.125 0.146 32.233582 17.1309 0.731564 0.199416 14.580 1.961 15.128 0.293 46.809 12.642 44247.934 2377.119 195.168 -7.106 2452755.83459 4.11 K03H57M +res N 3 2 S L3h11 23.16 0.128 r 7.94 32.701 0.001 15 2.2091 0.257 0.468 0.829 1.223 39.399366 0.0060 0.171023 0.000096 27.626 0.001 199.712 0.000 5.173 0.380 54049.542 66.441 195.423 -7.726 2452755.83196 3.85 K03H57A +cla m -1 -1 S L3h13 23.05 0.110 r 6.93 40.229 0.002 14 2.2010 0.125 0.210 0.316 0.618 44.038284 0.0240 0.087995 0.001303 1.436 0.001 39.091 0.020 146.335 3.129 49886.440 771.389 195.452 -5.990 2452755.86103 2.90 K03H57H +res N 3 2 S L3h14 22.98 0.096 r 7.73 32.896 0.001 15 2.2091 0.179 0.177 0.286 0.344 39.446413 0.0278 0.179332 0.001229 5.621 0.001 34.377 0.002 136.528 0.602 48156.404 99.427 196.193 -5.064 2452755.83724 3.56 K03H57D +xxx x -1 -1 x L3h15nt 23.53 0.170 r 7.18 42.466 1.167 7 0.0932 0.035 0.117 0.078 0.289 43.543254 22.6625 0.359925 0.592358 2.283 0.375 34.054 2.705 271.363 44.689 71833.329 15937.845 196.502 -6.324 2452755.84521 2.90 K03H57N +xxx x -1 -1 x L3h16nt 23.51 0.183 r 7.03 43.802 1.361 7 0.0933 0.121 0.190 0.201 0.499 44.939624 23.5191 0.745922 0.204180 6.845 1.791 27.397 2.363 34.162 14.304 38905.682 3797.288 197.149 -6.115 2452755.84782 3.14 K03H57O +cla m -1 -1 S L3h18 22.46 0.070 r 6.06 42.976 0.001 20 4.0548 0.154 0.238 0.360 0.618 43.612247 0.0053 0.032259 0.000304 2.098 0.000 36.306 0.004 227.668 0.299 70706.911 76.890 197.592 -6.783 2452755.85572 2.88 K03H57G +res N 3 2 S L3h19 23.30 0.138 r 8.13 32.364 0.002 19 5.0263 0.043 0.153 0.132 0.164 39.352922 0.0093 0.193231 0.000136 1.422 0.000 48.135 0.004 123.039 0.039 48039.949 6.206 197.510 -6.665 2452755.85572 3.67 K03H57F +cla m -1 -1 IH L3h20 23.06 0.123 r 6.97 40.006 0.002 13 2.2063 0.094 0.187 0.178 0.389 44.172946 0.0364 0.099792 0.002081 8.863 0.001 9.996 0.002 168.644 2.493 47640.750 595.397 197.062 -8.890 2452755.85049 2.97 K03H57E +sca x -1 -1 S L3q01 24.00 0.176 g 8.16 38.171 0.002 15 3.8986 0.251 0.127 0.377 0.298 51.054204 0.0203 0.484715 0.000263 6.922 0.001 160.303 0.001 254.014 0.016 65727.551 2.313 328.835 -10.957 2452882.82283 3.45 K03QB3W +cla m -1 -1 S L3q02PD 23.39 0.115 g 7.44 39.103 0.001 23 2.9851 0.270 0.062 0.430 0.247 42.618486 0.0056 0.096160 0.000227 1.800 0.000 291.666 0.011 1.903 0.205 44885.512 45.678 329.299 -11.323 2452882.82283 3.23 K01QT8B +det x -1 -1 S L3q03 23.29 0.107 g 5.60 58.342 0.003 19 4.2211 0.178 0.179 0.513 0.374 49.605707 0.0162 0.252574 0.000486 6.751 0.001 158.077 0.001 25.281 0.167 8945.778 64.309 329.012 -11.227 2452882.82283 2.15 K03QB3X +cla m -1 -1 S L3q04PD 23.73 0.144 g 6.67 50.469 0.002 23 2.0260 0.069 0.070 0.118 0.296 46.240214 0.0170 0.143316 0.001501 3.703 0.001 328.776 0.001 134.523 0.576 92130.805 190.011 329.782 -12.381 2452882.82615 2.64 K02PH0T +cla m -1 -1 S L3q06PD 23.41 0.118 g 6.84 45.147 0.003 18 7.8548 0.158 0.192 0.191 0.235 44.094130 0.0100 0.039735 0.000119 2.151 0.000 162.720 0.003 295.420 0.262 90024.196 82.726 331.182 -11.264 2452882.83446 2.87 K01QT8J +res N 7 4 S L3q08PD 23.86 0.180 g 7.74 40.720 0.003 24 2.0915 0.175 0.145 0.253 0.157 43.633436 0.0244 0.124609 0.001586 5.450 0.001 336.790 0.001 289.186 0.323 37810.299 51.032 332.021 -12.219 2452882.83942 2.86 K02PH1B +cla m -1 -1 S L3q09PD 23.78 0.162 g 7.38 43.518 0.005 15 3.0180 0.073 0.267 0.118 0.302 44.149407 0.0159 0.027473 0.000729 0.911 0.001 279.566 0.040 110.480 1.264 69926.833 339.757 331.702 -10.846 2452882.84110 3.04 K01QT7X +cla m -1 -1 S L3s01 23.69 0.177 g 7.52 41.466 0.003 16 1.7883 0.087 0.064 0.224 0.157 42.499691 0.0126 0.042082 0.000940 1.497 0.001 215.480 0.028 87.866 0.846 38099.315 203.770 359.597 0.795 2452909.85049 3.10 K03SV7N +res N 3 2 S L3s02 23.47 0.140 g 8.41 32.319 0.001 28 1.7907 0.231 0.415 0.817 0.936 39.346203 0.0088 0.275016 0.000440 6.563 0.001 187.306 0.000 112.118 0.063 43518.007 4.637 1.889 1.459 2452909.85364 4.14 K03SV7O +cla m -1 -1 S L3s03 23.02 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56.248318 0.0187 0.338819 0.000194 6.919 0.000 285.221 0.001 13.015 0.038 54561.760 7.512 292.732 -21.018 2453208.94263 3.32 K04O15R +det x -1 -1 S L4n06 23.62 0.087 g 7.65 39.503 0.001 18 3.8766 0.070 0.098 0.206 0.330 55.760383 0.0147 0.316669 0.000198 4.248 0.001 123.603 0.001 202.815 0.046 59917.416 8.906 296.606 -20.520 2453208.94916 3.03 K04O15S +cla i -1 -1 I L4o01 23.02 0.067 g 7.08 38.723 0.002 16 3.7757 0.073 0.114 0.115 0.189 38.584206 0.0076 0.055319 0.000268 22.946 0.001 289.181 0.000 93.422 0.162 75219.294 45.259 287.058 -23.909 2453210.93076 3.19 K04O15P +cla m -1 -1 S L4p01 23.90 0.131 g 7.45 43.593 0.002 16 3.0853 0.119 0.079 0.340 0.256 42.983289 0.0065 0.041150 0.000599 1.238 0.001 0.123 0.030 194.781 0.372 22382.759 108.323 309.587 -19.519 2453232.83672 2.74 K04PB7T +cla m -1 -1 S L4p02 23.82 0.250 g 7.48 42.426 0.003 14 1.9438 0.100 0.139 0.204 0.302 42.817224 0.0089 0.014613 0.001012 1.874 0.000 23.106 0.036 336.275 3.113 67635.066 843.949 309.899 -20.320 2453232.83672 3.02 K04PB7U +cla m -1 -1 S L4p03 23.14 0.120 g 7.12 39.489 0.002 20 1.7170 0.056 0.137 0.132 0.364 46.068915 0.0168 0.153431 0.000416 4.324 0.001 329.217 0.005 314.285 0.285 47460.460 63.668 310.922 -19.770 2453232.84003 2.91 K04PB7V +det x -1 -1 S L4p04PD 22.03 0.015 g 6.24 37.574 0.001 29 4.9803 0.063 0.092 0.267 0.500 54.318332 0.0084 0.342164 0.000118 18.416 0.000 127.354 0.000 147.449 0.020 46245.218 3.343 313.190 -18.746 2453232.84665 3.27 K00P30E +cla m -1 -1 S L4p05 23.59 0.089 g 6.92 45.988 0.002 16 3.8112 0.109 0.095 0.176 0.249 43.620105 0.0084 0.060230 0.000220 1.862 0.001 81.353 0.019 72.886 0.340 8593.727 99.310 312.552 -19.196 2453232.84665 2.69 K04PB7W +cla m -1 -1 S L4p06PD 22.35 0.117 g 6.00 42.753 0.001 48 3.9377 0.114 0.045 0.168 0.322 43.835336 0.0041 0.083322 0.000272 1.547 0.000 108.746 0.006 125.789 0.045 33162.360 7.369 314.288 -17.891 2453232.85161 2.86 K01QT7Y +sca x -1 -1 S L4p07 22.41 0.345 g 7.66 29.586 0.001 19 4.8516 0.083 0.073 0.154 0.150 39.953648 0.0120 0.280856 0.000217 23.545 0.000 130.074 0.000 152.442 0.014 49048.719 1.681 314.402 -18.144 2453232.85326 4.16 K04PB7Y +cla m -1 -1 S L4p08PD 23.75 0.206 g 7.49 41.975 0.002 19 4.1811 0.054 0.083 0.347 0.215 44.282728 0.0085 0.064421 0.000215 1.856 0.000 15.978 0.014 258.683 0.307 43125.412 78.154 315.620 -18.637 2453232.85657 3.18 K01QT7Z +cla m -1 -1 S L4p09 23.51 0.077 g 6.84 46.149 0.003 14 1.9278 0.079 0.087 0.246 0.208 44.260877 0.0265 0.099653 0.001620 3.747 0.001 120.092 0.006 73.199 0.678 20334.037 217.503 316.202 -17.643 2453232.85823 2.83 K04PB7X +cla m -1 -1 I L4q03 23.57 0.068 g 7.45 40.574 0.002 23 4.9311 0.171 0.221 0.322 0.408 43.030054 0.0050 0.114461 0.000165 23.863 0.000 135.276 0.000 114.532 0.065 37667.401 11.767 317.960 -16.398 2453236.84857 3.26 K04Q29D +cla m -1 -1 S L4q05 23.51 0.081 g 7.75 37.465 0.003 12 1.9169 0.135 0.088 0.345 0.151 40.877929 0.0090 0.083725 0.000158 24.125 0.001 317.865 0.000 355.066 0.887 52185.708 197.943 319.881 -15.710 2453236.85603 3.22 K04Q29E +cla o -1 -1 S L4q06 24.02 0.266 g 8.23 37.784 0.003 12 1.9169 0.081 0.136 0.184 0.300 48.479526 0.0144 0.235173 0.000554 27.134 0.001 319.895 0.000 333.670 0.302 47898.851 59.379 321.564 -15.450 2453236.86256 3.46 K04Q29G +cla m -1 -1 S L4q09 24.11 0.153 g 7.50 45.741 0.004 15 1.9168 0.097 0.204 0.187 0.505 46.518611 0.0098 0.022323 0.001189 4.594 0.001 330.618 0.003 308.387 3.699 40159.245 1120.005 323.899 -15.127 2453236.86907 2.80 K00P30D +cla i -1 -1 S L4q10 23.66 0.163 g 7.85 38.123 0.001 40 9.2065 0.069 0.160 0.292 0.375 38.026517 0.0033 0.025239 0.000046 4.000 0.000 127.498 0.001 292.300 0.145 75664.562 37.073 325.156 -15.044 2453236.87071 3.37 J99O04J +cla m -1 -1 I L4q11 23.94 0.157 g 7.50 44.046 0.001 35 8.1663 0.165 0.139 0.479 0.396 45.984694 0.0056 0.120138 0.000093 2.088 0.000 113.802 0.003 132.565 0.044 33314.552 9.294 325.007 -15.045 2453236.87071 3.15 J99O04M +cla i -1 -1 S L4q12PD 24.11 0.094 g 8.49 36.522 0.004 20 5.0842 0.037 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3.084 0.001 103.831 0.009 42.495 2.284 56740.327 586.804 136.108 18.357 2453411.79591 3.13 K05C81E +cla m -1 -1 S L5c06 24.30 0.267 g 7.67 45.810 0.003 15 2.7438 0.108 0.171 0.335 0.323 45.440829 0.0166 0.077212 0.000982 1.185 0.001 356.748 0.031 236.938 0.240 81874.169 87.489 135.799 17.688 2453411.79754 2.93 K07C79Q +cla m -1 -1 S L5c07PD 22.92 0.117 g 6.70 41.664 0.001 29 2.0291 0.200 0.174 0.524 0.533 43.397612 0.0074 0.102835 0.000736 7.869 0.001 318.434 0.000 101.854 0.128 35521.976 16.708 135.522 17.693 2453411.79754 3.19 K05XA0U +res N 5 3 S L5c08 23.59 0.243 g 8.06 35.541 0.001 19 5.1030 0.088 0.319 0.123 0.619 42.174502 0.0053 0.228308 0.000105 17.916 0.000 130.429 0.000 59.435 0.044 63678.250 6.222 135.338 17.796 2453411.79754 3.74 K06C69J +cla m -1 -1 S L5c10PD 24.02 0.051 g 7.73 42.330 0.001 25 6.1631 0.096 0.224 0.183 0.244 45.325142 0.0048 0.066507 0.000076 3.205 0.000 313.356 0.000 187.527 0.124 55270.265 33.480 136.282 16.641 2453411.80078 3.02 J99CB9J +res N 3 2 S L5c11 23.87 0.278 g 7.31 45.199 0.002 15 3.2302 0.143 0.104 0.327 0.411 39.262363 0.0043 0.151580 0.000075 21.344 0.001 317.871 0.000 2.160 0.456 9684.992 112.553 139.121 16.367 2453411.80733 3.06 K05C81D +res N 12 5 S L5c12 22.30 0.021 g 6.70 36.324 0.003 17 4.1829 0.055 0.026 0.170 0.110 53.891995 0.0189 0.346510 0.000482 15.733 0.000 317.033 0.000 151.062 0.148 48161.802 24.671 138.659 16.210 2453411.80733 3.49 K02CM4Y +res N 5 3 S L5c13PD 23.85 0.247 g 7.64 41.806 0.002 24 6.1630 0.047 0.069 0.260 0.234 42.239989 0.0044 0.233872 0.000191 9.757 0.000 127.991 0.000 110.316 0.018 74036.449 5.758 139.960 17.263 2453411.80899 3.10 J99CD1X +cla m -1 -1 S L5c14 23.41 0.091 g 7.74 36.875 0.001 15 3.2302 0.120 0.114 0.189 0.270 47.148903 0.0061 0.218764 0.000104 21.869 0.001 133.275 0.000 357.313 0.131 52110.897 26.834 139.417 17.212 2453411.80899 3.52 K07C79R +det x -1 -1 IH L5c15 24.09 0.113 g 8.34 37.611 0.002 19 5.1030 0.165 0.154 0.322 0.530 55.172539 0.0196 0.318313 0.000212 5.137 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23.75 0.198 g 7.11 46.186 0.002 32 2.0263 0.282 0.255 1.209 1.126 44.126005 0.0080 0.068045 0.000727 3.296 0.001 342.001 0.006 291.972 0.649 92193.042 195.298 140.712 16.798 2453411.81228 2.95 K05ET6E +cla m -1 -1 S L5c22 23.55 0.203 g 7.06 44.605 0.002 17 2.0128 0.108 0.099 0.347 0.188 43.990748 0.0125 0.084744 0.001410 1.389 0.000 26.525 0.044 216.003 0.236 81423.164 78.204 141.083 16.622 2453411.81228 2.97 K07DA1S +res N 4 3 S L5c23 24.19 0.088 g 8.85 34.379 0.001 16 11.2333 0.070 0.122 0.124 0.515 36.473497 0.0073 0.063565 0.000158 0.405 0.000 109.642 0.014 2.007 0.042 48092.807 7.630 141.044 15.460 2453411.81392 3.74 K05C81F +cla m -1 -1 S L5c24PD 23.84 0.398 g 7.54 42.737 0.002 24 8.0088 0.097 0.311 0.377 0.939 44.171950 0.0083 0.065197 0.000095 2.698 0.000 139.273 0.001 295.579 0.138 36481.395 33.989 140.609 15.333 2453411.81392 3.10 J99CF3U +cla m -1 -1 S L5i01 23.71 0.313 g 7.55 40.982 0.003 17 2.0094 0.167 0.182 0.733 0.515 42.777915 0.0064 0.046152 0.000555 3.303 0.001 52.045 0.004 164.791 1.454 46847.807 371.630 240.578 -21.315 2453502.94350 3.09 K06HC3A +cla m -1 -1 I L5i02PD 23.80 0.155 g 7.78 39.589 0.001 27 5.9799 0.079 0.157 0.271 0.214 46.012882 0.0059 0.216135 0.000130 10.460 0.000 61.830 0.000 241.743 0.021 66258.629 3.300 241.748 -21.227 2453502.94678 3.17 K01K76W +cla m -1 -1 S L5i03PD 23.80 0.242 g 7.98 37.695 0.002 21 5.0275 0.186 0.103 0.340 0.317 43.898185 0.0080 0.145688 0.000120 20.726 0.000 245.590 0.000 16.063 0.083 57052.309 17.879 243.858 -21.340 2453502.95334 3.12 K01K77O +det x -1 -1 S L5i04 23.14 0.119 g 7.28 38.099 0.001 19 10.9901 0.017 0.099 0.096 0.225 47.275244 0.0050 0.244201 0.000058 27.251 0.000 63.150 0.000 229.403 0.011 63017.377 2.077 243.610 -22.418 2453502.95497 3.21 K05JI6K +cla m -1 -1 I L5i05 23.71 0.073 g 7.16 44.620 0.017 16 2.9872 0.179 0.063 0.266 0.111 44.077094 0.0468 0.068484 0.001711 2.139 0.001 31.887 0.013 109.705 0.488 24869.436 179.452 243.983 -22.526 2453502.95498 2.73 K05JI5Y +res N 3 2 S L5i06PD 23.13 0.059 g 7.48 36.173 0.001 30 8.2408 0.125 0.024 0.396 0.176 39.507206 0.0030 0.156476 0.000050 15.616 0.000 248.483 0.000 64.744 0.024 66042.918 3.599 246.656 -21.855 2453502.96319 3.29 K01K77Q +cla m -1 -1 S L5i08 23.50 0.090 g 7.21 41.831 0.002 16 2.0094 0.051 0.107 0.158 0.263 44.635916 0.0096 0.094308 0.001026 4.141 0.001 63.766 0.002 238.327 0.564 66861.403 126.884 248.431 -22.403 2453502.96647 2.83 K05JI6J +det x -1 -1 I L5j02 23.28 0.124 g 6.86 43.135 0.003 20 2.9080 0.066 0.395 0.201 0.585 67.354055 0.0466 0.462792 0.000488 22.443 0.001 65.560 0.000 236.833 0.056 66043.022 6.036 239.843 -19.040 2453531.89687 2.60 K05L54C +cla m -1 -1 S L5j03 23.16 0.072 g 6.89 41.643 0.003 16 1.9327 0.089 0.103 0.245 0.187 44.314082 0.0157 0.067189 0.000572 7.919 0.001 70.662 0.001 198.865 1.010 60858.990 259.691 239.362 -19.153 2453531.89687 2.84 K05L54A +cla m -1 -1 IH L5j04 22.56 0.121 g 6.28 41.810 0.003 12 1.9302 0.030 0.082 0.104 0.245 43.689694 0.0170 0.047521 0.000659 3.006 0.001 96.056 0.014 173.227 1.729 60541.746 455.285 240.913 -19.040 2453531.90017 2.86 K05L54B +det x -1 -1 I L5r01 23.70 0.254 g 7.74 39.045 0.002 27 3.8910 0.201 0.099 0.449 0.410 153.761629 0.0904 0.746377 0.000137 20.447 0.000 306.114 0.001 32.537 0.029 52807.928 5.426 337.966 4.135 2453616.80423 3.24 K05R52H +cla m -1 -1 S L5s01PD 20.84 0.021 g 4.35 43.708 0.001 35 23.9200 0.164 0.164 0.201 0.599 42.027544 0.0036 0.106671 0.000028 23.931 0.000 280.095 0.000 309.721 0.032 24235.560 11.119 337.949 15.047 2453616.82908 2.97 K04S60B +det x -1 -1 I L7a02 23.50 0.328 g 7.55 38.903 0.001 17 3.1620 0.071 0.156 0.170 0.263 50.398033 0.0165 0.290541 0.000467 14.295 0.001 317.225 0.000 122.624 0.068 43918.716 9.030 133.743 19.222 2454119.80897 3.23 K06WK6G +sca x -1 -1 S L7a03 23.84 0.016 g 7.11 46.991 0.002 19 2.8476 0.122 0.175 0.411 0.419 59.613266 0.0435 0.439491 0.000646 4.575 0.001 327.938 0.003 248.628 0.014 72028.353 8.442 133.914 18.780 2454119.80897 2.67 K06BS4S +cla m -1 -1 S L7a04PD 23.25 0.101 g 6.08 51.774 0.002 34 7.1297 0.411 0.115 1.059 0.815 46.198229 0.0047 0.146393 0.000132 7.038 0.000 300.707 0.000 337.759 0.075 98884.655 24.333 130.872 17.137 2454119.83928 2.50 K02CO8Y +cla m -1 -1 I L7a05 23.77 0.303 g 7.53 41.807 0.001 21 5.0132 0.194 0.102 0.399 0.248 43.681525 0.0068 0.045164 0.000086 7.981 0.000 116.078 0.001 28.455 0.328 58476.771 87.316 131.253 19.832 2454119.81365 2.91 K05B49V +cla m -1 -1 S L7a06 23.72 0.067 g 7.23 44.357 0.002 19 2.1791 0.138 0.094 0.420 0.329 43.499576 0.0050 0.042456 0.003473 2.056 0.000 58.110 0.027 188.279 2.262 87660.748 660.397 129.885 20.426 2454119.81674 2.99 K06WK6F +cla m -1 -1 S L7a07 23.43 0.249 g 7.19 41.946 0.002 16 5.0131 0.058 0.082 0.143 0.245 44.080188 0.0084 0.078180 0.000200 2.103 0.000 58.990 0.014 121.798 0.192 68074.335 45.044 129.871 20.466 2454119.81674 3.04 K05B49W +res N 4 3 I L7a10 23.65 0.001 g 8.77 30.603 0.001 22 4.9551 0.086 0.513 0.413 0.748 36.657304 0.0040 0.188072 0.000044 17.152 0.000 311.854 0.000 209.680 0.047 59036.161 6.757 132.631 18.432 2454119.81997 4.03 K05GM8H +cla m -1 -1 S L7a11PD 23.27 0.133 g 6.25 49.315 0.001 46 7.0285 0.080 0.199 0.317 0.551 47.045919 0.0037 0.147499 0.000121 19.270 0.000 307.259 0.000 55.594 0.031 18502.074 12.409 129.284 18.767 2454119.82759 2.84 K00CA5O +xxx x -1 -1 x l3f05nt 23.65 0.170 g 7.76 38.554 2.818 4 0.0082 0.092 0.048 0.182 0.094 39.596763 20.7993 0.026636 0.579012 25.893 10.876 189.614 1.437 12.070 1273.444 54828.149 304898.710 192.346 -3.703 2452722.98130 3.41 ------- +xxx x -1 -1 x l3q05nt 23.51 0.126 g 7.05 43.953 2.546 4 0.0113 0.037 0.047 0.074 0.095 44.883509 23.3049 0.021042 0.563063 2.929 0.897 182.053 11.488 136.857 1603.007 49994.199 468808.772 330.193 -10.411 2452882.82951 2.78 ------- +xxx x -1 -1 x l3q07nt 23.92 0.191 g 7.32 45.514 2.692 7 0.0113 0.097 0.173 0.337 0.464 46.563301 24.1731 0.022719 0.562999 15.794 5.791 146.601 1.071 175.265 1487.328 50526.285 457637.527 331.642 -12.503 2452882.83777 3.09 ------- +xxx x -1 -1 x l3w14nt 23.40 0.200 g 8.70 29.280 3.899 3 0.0001 0.047 0.105 0.071 0.158 30.268997 16.2312 0.033226 0.597713 2.316 19.617 254.934 10.260 168.043 1029.129 51291.561 162465.527 71.973 22.456 2452989.82962 4.31 ------- +xxx x -1 -1 x l3w19nt 23.70 0.300 g 7.35 43.087 6.793 3 0.0001 0.003 0.088 0.005 0.132 44.049657 22.8804 0.021980 0.577759 4.588 35.143 269.286 87.246 162.615 1539.601 51244.154 436096.622 76.820 23.804 2452989.83624 3.06 ------- +xxx x -1 -1 x l4h03nt 23.55 0.012 g 7.40 40.734 2.658 4 0.0027 0.035 0.018 0.070 0.036 41.672142 21.7326 0.023342 0.570890 13.885 5.544 24.141 0.870 162.117 1447.748 49013.739 376586.000 200.282 -7.988 2453121.82210 3.02 ------- +xxx x -1 -1 x l4h17nt 23.63 0.063 g 7.17 44.028 2.511 4 0.0027 0.053 0.042 0.104 0.084 44.937717 23.3148 0.020530 0.561849 1.803 0.367 131.367 50.364 67.325 1645.627 50295.181 481672.039 206.782 -9.131 2453121.83769 2.80 ------- +xxx x -1 -1 x l4h19nt 23.72 0.125 g 8.11 36.194 2.778 4 0.0027 0.027 0.046 0.055 0.092 37.260343 19.6963 0.028826 0.583744 24.743 10.469 207.080 0.705 354.511 1179.533 51565.703 256607.743 206.604 -10.224 2453121.83911 3.64 ------- +xxx x -1 -1 x l4k08nt 24.26 0.293 g 9.30 30.923 2.433 4 0.0028 0.093 0.095 0.188 0.190 32.066642 17.1871 0.036509 0.587414 5.357 2.100 36.496 5.423 180.839 938.304 50947.403 160192.019 226.866 -18.917 2453149.86017 4.19 ------- +xxx x -1 -1 x l4o02nt 23.52 0.089 g 7.17 42.566 0.314 7 0.8900 0.053 0.050 0.162 0.078 46.724686 15.1755 0.166455 1.048451 3.694 0.052 309.241 0.326 44.170 176.393 69277.497 23962.027 288.561 -23.769 2453210.93219 2.86 ------- +xxx x -1 -1 x l4q01nt 23.81 0.056 g 7.14 46.109 7.360 3 0.0002 0.054 0.011 0.079 0.017 46.998590 24.3196 0.019420 0.578658 1.181 7.032 56.983 1705.297 245.583 2432.915 49117.179 545591.096 318.250 -17.343 2453236.84692 2.79 ------- +xxx x -1 -1 x l4q02nt 23.76 0.247 g 7.69 40.130 2.868 4 0.0028 0.096 0.088 0.187 0.172 41.048390 21.4778 0.022923 0.577810 22.642 9.483 319.772 2.059 342.291 1475.887 49935.084 375773.502 318.137 -18.098 2453236.84692 3.12 ------- +xxx x -1 -1 x l4q04nt 23.70 0.113 g 7.28 43.550 2.559 5 0.0028 0.167 0.022 0.248 0.048 44.530583 23.1503 0.022441 0.563684 3.251 1.584 122.086 7.009 182.723 1506.146 49948.639 433345.957 318.661 -16.831 2453236.85278 2.84 ------- +xxx x -1 -1 x l4q08nt 23.30 0.110 g 7.67 36.543 5.517 3 0.0002 0.081 0.053 0.122 0.080 37.560311 19.8230 0.027195 0.594165 19.018 29.811 136.724 6.931 178.797 1249.776 52009.942 276080.650 323.542 -15.983 2453236.86744 3.51 ------- +xxx x -1 -1 x l4v07nt 23.62 0.115 g 7.01 45.717 7.800 3 0.0001 0.065 0.019 0.097 0.029 46.683473 24.1816 0.020817 0.579722 9.666 40.663 41.973 2.164 353.447 1621.981 51443.865 503035.907 38.943 15.152 2453318.88752 2.87 ------- +xxx x -1 -1 x l4v16nt 24.30 0.431 g 7.77 44.821 7.426 3 0.0001 0.004 0.044 0.005 0.066 45.787225 23.7375 0.021277 0.578689 5.368 38.262 223.404 22.784 169.364 1587.500 51076.213 477781.355 37.567 15.128 2453318.88264 2.92 ------- +xxx x -1 -1 x l4v17nt 24.19 0.197 g 8.47 37.334 8.357 3 0.0001 0.013 0.030 0.019 0.045 38.324387 20.3225 0.025911 0.638360 36.844 54.296 41.164 1.268 356.583 1310.222 52350.463 299150.168 39.080 15.818 2453318.88913 3.63 ------- +xxx x -1 -1 x l4v19nt 23.99 0.427 g 9.45 28.642 3.759 3 0.0001 0.023 0.074 0.034 0.110 29.663844 15.9788 0.034474 0.599209 4.246 18.815 213.399 51.185 188.953 994.222 52945.777 151680.392 42.478 15.412 2453318.89728 4.46 ------- +xxx x -1 -1 x l5c01nt 24.05 0.554 g 8.29 37.428 3.496 3 0.0003 0.057 0.041 0.085 0.062 38.403409 20.1725 0.025660 0.580622 24.388 17.754 130.311 1.629 353.619 1321.883 51445.275 302827.158 134.801 18.069 2453411.79429 3.46 ------- +xxx x -1 -1 x l5c04nt 24.21 0.332 g 8.39 37.952 3.065 3 0.0003 0.003 0.149 0.004 0.223 38.913248 20.3759 0.024985 0.569537 3.689 12.020 118.559 49.360 6.012 1358.120 51353.302 317403.272 135.871 17.806 2453411.79754 3.41 ------- +xxx x -1 -1 x l7a12nt 23.86 0.127 g 8.62 33.209 2.928 6 0.0002 0.299 0.054 0.486 0.109 34.198990 18.1132 0.029360 0.579510 6.341 11.677 117.519 19.185 20.220 1158.764 56018.485 221512.146 130.759 19.386 2454119.82608 3.79 ------- +cla m -1 -1 S o3e20PD 23.96 0.162 g 7.71 41.568 0.001 54 15.9186 0.120 0.043 0.251 0.172 43.237096 0.0034 0.039490 0.000059 1.171 0.000 56.759 0.002 171.768 0.027 59765.942 7.205 201.813 -8.446 2453121.82494 2.99 K01FI5K +cla m -1 -1 S o3e37PD 23.64 0.234 g 7.08 44.621 0.001 50 12.8304 0.074 0.063 0.336 0.367 43.964762 0.0027 0.046419 0.000036 3.316 0.000 45.295 0.000 282.562 0.062 87786.414 20.052 204.297 -8.912 2453121.83202 2.77 K04H79J +res N 3 2 S o3l13PD 23.50 0.146 g 7.98 37.060 0.001 47 11.3123 0.094 0.044 0.247 0.226 39.427518 0.0024 0.165903 0.000045 8.345 0.000 175.647 0.000 118.526 0.012 41523.381 1.899 355.296 -1.955 2452909.86654 3.60 K03SV7R +cla m -1 -1 S o5c051PD 24.15 0.218 g 7.97 41.429 0.001 44 13.0925 0.054 0.061 0.296 0.158 45.556838 0.0037 0.096773 0.000055 0.768 0.000 207.642 0.003 182.975 0.029 51527.312 7.416 35.083 13.849 2453318.87451 2.99 K04VD1A +cla m -1 -1 S o5d135PD 23.81 0.013 g 7.11 46.964 0.001 51 12.2133 0.030 0.095 0.108 0.164 44.196500 0.0029 0.071842 0.000051 1.746 0.000 50.391 0.000 207.533 0.046 13054.386 14.171 36.094 13.941 2453318.87776 2.89 K04VD1B +res N 17 9 I o5t34PD 24.01 0.212 g 7.45 43.017 0.001 68 13.9934 0.058 0.088 0.269 0.166 45.958178 0.0029 0.169721 0.000033 5.081 0.000 347.100 0.000 96.968 0.014 75861.446 2.711 352.197 -2.888 2452909.86229 2.68 K03SV7P diff --git a/src/ossssim/Characterizations/CFEPS/L3f-smooth.eff b/src/ossssim/Characterizations/CFEPS/L3f-smooth.eff new file mode 100644 index 0000000..20c03f6 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L3f-smooth.eff @@ -0,0 +1,26 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 1.7 5.1 20.0 30.0 +# +mag_error= 0.027 0.30 24.5 1.0 24.1 -0.5 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +function= double +double_param= 0.909 23.894 0.559 0.329 +# +# Limiting magnitude of the block +mag_lim= 23.75 diff --git a/src/ossssim/Characterizations/CFEPS/L3h-smooth.eff b/src/ossssim/Characterizations/CFEPS/L3h-smooth.eff new file mode 100644 index 0000000..4e83795 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L3h-smooth.eff @@ -0,0 +1,26 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.2 23.6 18.0 +# +mag_error= 0.030 0.28 24.0 0.9 23.3 -0.1 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.1 -0.25 +# +filter= r +# +rates= 0.00 20.00 +function= double +double_param= 0.901 23.865 0.799 0.244 +# +# Limiting magnitude of the block +mag_lim= 23.73 diff --git a/src/ossssim/Characterizations/CFEPS/L3q-smooth.eff b/src/ossssim/Characterizations/CFEPS/L3q-smooth.eff new file mode 100644 index 0000000..304d436 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L3q-smooth.eff @@ -0,0 +1,26 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 1.2 6.2 -20.0 18.0 +# +mag_error= 0.027 0.45 24.8 1.0 24.0 -0.5 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +function= double +double_param= 0.862 24.229 0.876 0.214 +# +# Limiting magnitude of the block +mag_lim= 24.08 diff --git a/src/ossssim/Characterizations/CFEPS/L3s-smooth.eff b/src/ossssim/Characterizations/CFEPS/L3s-smooth.eff new file mode 100644 index 0000000..ec2c69a --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L3s-smooth.eff @@ -0,0 +1,26 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 8.0 -23.8 18.8 +# +mag_error= 0.027 0.29 24.3 0.5 23.7 -0.3 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +function= double +double_param= 0.875 24.094 0.511 0.298 +# +# Limiting magnitude of the block +mag_lim= 23.95 diff --git a/src/ossssim/Characterizations/CFEPS/L3w-smooth.eff b/src/ossssim/Characterizations/CFEPS/L3w-smooth.eff new file mode 100644 index 0000000..6d0a264 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L3w-smooth.eff @@ -0,0 +1,26 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.0 -9.0 20.0 +# +mag_error= 0.027 0.33 24.7 0.5 24.3 -0.6 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +function= double +double_param= 0.900 24.394 1.050 0.220 +# +# Limiting magnitude of the block +mag_lim= 24.25 diff --git a/src/ossssim/Characterizations/CFEPS/L3y-smooth.eff b/src/ossssim/Characterizations/CFEPS/L3y-smooth.eff new file mode 100644 index 0000000..7b2f32c --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L3y-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 1.7 5.1 9.0 15.0 +# +mag_error= 0.027 0.406 24.7 0.9 23.9 -0.5 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.865 24.241 0.787 0.259 +# +# Limiting magnitude of the block +mag_lim= 24.08 diff --git a/src/ossssim/Characterizations/CFEPS/L4h-smooth.eff b/src/ossssim/Characterizations/CFEPS/L4h-smooth.eff new file mode 100644 index 0000000..8c3145c --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L4h-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.0 22.0 20.0 +# +mag_error= 0.034 0.33 24.4 0.6 23.8 -0.5 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.9001827 24.18428 0.8322120 0.2116960 +# +# Limiting magnitude of the block +mag_lim= 24.06 diff --git a/src/ossssim/Characterizations/CFEPS/L4j-smooth.eff b/src/ossssim/Characterizations/CFEPS/L4j-smooth.eff new file mode 100644 index 0000000..5c85282 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L4j-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 5.6 16.4 20.0 +# +mag_error= 0.025 0.272 24.3 0.2 23.8 -0.2 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.8988845 24.13437 0.9571753 0.2120223 +# +# Limiting magnitude of the block +mag_lim= 24.00 diff --git a/src/ossssim/Characterizations/CFEPS/L4k-smooth.eff b/src/ossssim/Characterizations/CFEPS/L4k-smooth.eff new file mode 100644 index 0000000..6368e5c --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L4k-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 5.7 17.0 18.0 +# +mag_error= 0.021 0.354 24.75 0.6 24.1 -0.4 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.9149023 24.48660 1.229787 0.2011446 +# +# Limiting magnitude of the block +mag_lim= 24.35 diff --git a/src/ossssim/Characterizations/CFEPS/L4m-smooth.eff b/src/ossssim/Characterizations/CFEPS/L4m-smooth.eff new file mode 100644 index 0000000..3237439 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L4m-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 5.6 -5.0 20.0 +# +mag_error= 0.043 0.335 24.3 0.9 23.9 -0.6 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.7811143 24.18 1.8 0.8 +# +# Limiting magnitude of the block +mag_lim= 23.76 diff --git a/src/ossssim/Characterizations/CFEPS/L4n-smooth.eff b/src/ossssim/Characterizations/CFEPS/L4n-smooth.eff new file mode 100644 index 0000000..cc9df13 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L4n-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.0 -7.7 20.0 +# +mag_error= 0.052 0.35 24.3 0.15 24.0 -0.18 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.810 23.97158 1.300 0.2735873 +# +# Limiting magnitude of the block +mag_lim= 23.74 diff --git a/src/ossssim/Characterizations/CFEPS/L4o-smooth.eff b/src/ossssim/Characterizations/CFEPS/L4o-smooth.eff new file mode 100644 index 0000000..3fb4cb6 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L4o-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.0 -6.7 18.0 +# +mag_error= 0.054 0.294 24.3 0.9 23.7 -0.2 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.800 23.83 1.7 0.3 +# +# Limiting magnitude of the block +mag_lim= 23.53 diff --git a/src/ossssim/Characterizations/CFEPS/L4p-smooth.eff b/src/ossssim/Characterizations/CFEPS/L4p-smooth.eff new file mode 100644 index 0000000..cb96d27 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L4p-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 1.0 5.7 -15.0 15.0 +# +mag_error= 0.025 0.36 24.5 0.8 23.8 -0.25 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.8767797 24.14081 0.9309396 0.1992458 +# +# Limiting magnitude of the block +mag_lim= 24.00 diff --git a/src/ossssim/Characterizations/CFEPS/L4q-smooth.eff b/src/ossssim/Characterizations/CFEPS/L4q-smooth.eff new file mode 100644 index 0000000..0f2b451 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L4q-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 1.2 6.1 -18.0 17.5 +# +mag_error= 0.025 0.292 24.5 0.5 24.3 -0.4 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.9021078 24.32594 0.7811524 0.1915528 +# +# Limiting magnitude of the block +mag_lim= 24.21 diff --git a/src/ossssim/Characterizations/CFEPS/L4v-smooth.eff b/src/ossssim/Characterizations/CFEPS/L4v-smooth.eff new file mode 100644 index 0000000..647f2d2 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L4v-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.3 -18.0 16.0 +# +mag_error= 0.027 0.305 24.6 0.2 24.3 -0.4 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.9032068 24.53925 1.116423 0.2093347 +# +# Limiting magnitude of the block +mag_lim= 24.40 diff --git a/src/ossssim/Characterizations/CFEPS/L5c-smooth.eff b/src/ossssim/Characterizations/CFEPS/L5c-smooth.eff new file mode 100644 index 0000000..3436cde --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L5c-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 6.4 15.0 16.0 +# +mag_error= 0.026 0.4 24.9 0.5 24.3 -0.4 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.8701848 24.48639 1.124860 0.2793053 +# +# Limiting magnitude of the block +mag_lim= 24.30 diff --git a/src/ossssim/Characterizations/CFEPS/L5i-smooth.eff b/src/ossssim/Characterizations/CFEPS/L5i-smooth.eff new file mode 100644 index 0000000..66e334f --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L5i-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.4 7.3 11.4 20.8 +# +mag_error= 0.037 0.286 24.3 0.2 23.85 -0.3 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.8092190 24.00469 0.9892598 0.1977594 +# +# Limiting magnitude of the block +mag_lim= 23.84 diff --git a/src/ossssim/Characterizations/CFEPS/L5j-smooth.eff b/src/ossssim/Characterizations/CFEPS/L5j-smooth.eff new file mode 100644 index 0000000..6f26eb9 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L5j-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.4 7.0 12.0 21.9 +# +mag_error= 0.044 0.236 24.2 0.6 23.7 -0.2 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.8103361 23.73561 1.298201 0.3049419 +# +# Limiting magnitude of the block +mag_lim= 23.49 diff --git a/src/ossssim/Characterizations/CFEPS/L5r-smooth.eff b/src/ossssim/Characterizations/CFEPS/L5r-smooth.eff new file mode 100644 index 0000000..cf85e95 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L5r-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.7 7.5 -22.0 20.1 +# +mag_error= 0.026 0.33 24.45 0.7 23.7 -0.3 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.8218872 24.05242 0.8814433 0.2051573 +# +# Limiting magnitude of the block +mag_lim= 23.89 diff --git a/src/ossssim/Characterizations/CFEPS/L5s-smooth.eff b/src/ossssim/Characterizations/CFEPS/L5s-smooth.eff new file mode 100644 index 0000000..bd3f0bd --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L5s-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.7 7.5 -21.9 19.9 +# +mag_error= 0.026 0.275 24.45 0.5 23.7 -0.3 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.8421513 24.15968 0.9134728 0.2241167 +# +# Limiting magnitude of the block +mag_lim= 24.00 diff --git a/src/ossssim/Characterizations/CFEPS/L7a-smooth.eff b/src/ossssim/Characterizations/CFEPS/L7a-smooth.eff new file mode 100644 index 0000000..de252a7 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/L7a-smooth.eff @@ -0,0 +1,28 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 7.7 15.4 19.5 +# +mag_error= 0.04 0.4 24.5 0.8 23.7 -0.4 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 22.8 -0.25 +# +filter= g +# +rates= 0.00 20.00 +# the "function= ..." line. +function= double +# +double_param= 0.9027138 24.11391 0.9906607 0.2201505 +# +# Limiting magnitude of the block +mag_lim= 23.98 diff --git a/src/ossssim/Characterizations/CFEPS/README.cfeps b/src/ossssim/Characterizations/CFEPS/README.cfeps new file mode 100644 index 0000000..7924f01 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/README.cfeps @@ -0,0 +1,26 @@ + +-------------------------------------------------------------------------------- + +This directory contains the pointing history, efficiency functions for each +block, and the list of detected objects, separated into various dynamical +classes. + +The content of this directory is: + +CFEPS + \---------- README.cfeps (this file) Describes the content of the directory + \--------- README.format Describes format of a survey "block" + \-------- pointings.list List of pointings and times of the + \ survey + \------ LnX-smooth.eff Efficiency function for block LnX, + \ where n gives the year (200n) and X (a + \ single letter) gives the fortnight the + \ data was acquired + \-- presurvey-smooth.eff Same for presurvey + \- CFEPS.detections List of objects really detected in + | CFEPS, with their dynamical class if + | known, magnitude at detection, rate of + | motion, H mag, and more. + \- CFEPS.CDS Same as CFEPS.detections, in CDS format. + +-------------------------------------------------------------------------------- diff --git a/src/ossssim/Characterizations/CFEPS/README.formats b/src/ossssim/Characterizations/CFEPS/README.formats new file mode 100644 index 0000000..40f4373 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/README.formats @@ -0,0 +1,119 @@ + +README.formats + +This file explains the format of the survey characterization that +is critical to the operation of the survey simulator. + +The Survey Simulator divides the sky coverage of all observations +into 'blocks' of contiguous rectangular area. The +pointings.list +file lists each such rectangular block, one per line. +Each such line should contain the name of an 'efficiency file' +that is in the same directory. Although rare, different blocks in +the pointing file could share a single efficiency definition. + +-------------------------------------------------------------------------------- + +pointings.list: + +Each line in pointings.list file has the format: + + \ + + +where: + +: width of FOV, in degree +: height of FOV, in degree +: Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +: Declination of pointing, decimal degree or DD:MM:SS[.ss...] +: epoch of pointing, in Julian day (decimal) +: filling factor of that FOV (fraction of FOV occupied by + active pixels) +: observatory code +: name of efficiency file for that pointing + +Lines starting with '#' are ignored and can be used for comments. + +-------------------------------------------------------------------------------- + +Efficiency file: + +The parameters are given using a " = pair, one per line. +Some can only appear after a previous had a specific value +(see below). The list of keys and associated values is as follows + +- rate cut used for detection (the pipeline restrict detection to certain rates + and directions of motion on the sky) +rate_cut= + : Lower rate cut (" arc/hour) + : Upper rate cut (" arc/hour) + : Mean direction of motion (degrees from due West) + : Half-width of direction cone (degrees) + +- magnitude error (the "real" magnitude determined from the absolute magnitude, + phase angle [Bowel formalism] and distance from Sun is further modified by a + "noise" that represents the uncertainty in magnitude determination) +mag_error= *6 + The first 4 parameters define the growth of the uncertainty: + - alpha = log10(mag_er(2)/mag_er(1))/(mag_er(3)-21) + - for mag < mag_er(3), mag_er(1)*10.**(alpha*(mag - 21)) + - for mag > mag_er(3), mag_er(1)*10.**(alpha*(mag_er(3) - 21)) + - (mag - mag_er(3))*mag_er(4) + The last 2 parameters determine the asymmetry of the error + - for mag < mag_er(5), center = 0. + - for mag > mag_er(5), center = (mag - mag_er(5))*mag_er(6) + +- fraction of objects with 1, 2 or 3 photometric measurements to define the + official magnitude +phot_frac= + : fraction of objects with only 1 measurement + : fraction of objects with 2 measurements + : fraction of objects with 3 measurements + +- Tracked fraction (for some survey, not all objects are tracked; some are + missed due to being very faint, others are missed due to leaking out of + recovery coverage, thus the following formula) +track_frac= + Tracked fraction = min(track_max, 1 + (mag - track_mag)*track_slope) + +- Filter used for this survey +filter= + : one of g, r, i, z, u, B, V, R, I + +- Efficiency functions are given for ranges of rates of motion given by the + following keyword (detection efficiency varies with rate of motion, so + efficiency is determined for ranges of rates) +rates= + : minimum rate for range of rates for this efficiency function + : maximum rate for range of rates for this efficiency function + +- Functional form used to define the efficiency +function= + is one of: + : single hyperbolic tangent + : double hyperbolic tangent + : piecewise linear function + : (eff_max-c*(m-21)**2)/(1+exp((m-M_0)/sig)) + : a look-up table + +- Parameters for the efficiency function, depending on the functional form +linear_param= +single_param= +double_param= +square_param= + +- For the look-up table, there will be as many lines as entries in the look-up + table +lookup_param= +lookup_param= + +- The sequence can be repeated + as many times as needed if the efficiency has been determined for several + different rate ranges. + +- Limiting magnitude of the block +mag_lim= + : largest magnitude for a characterized object + +Lines starting with '#' are ignored and can be used for comments. diff --git a/src/ossssim/Characterizations/CFEPS/pointings.list b/src/ossssim/Characterizations/CFEPS/pointings.list new file mode 100644 index 0000000..340efa7 --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/pointings.list @@ -0,0 +1,110 @@ +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# L3f block +# +poly 4 12:42:04.00 -04:31:00.0 2452722.9600000 0.80 500 L3f-smooth.eff +-2.56342553 -1.19534495 +-1.19534495 2.56342553 + 2.56342553 1.19534495 + 1.19534495 -2.56342553 +# +# L3h block +# +4.00 4.00 13:03:51.43 -06:47:24.4 2452755.8399121 0.81 500 L3h-smooth.eff +# +# L3q block +# +poly 4 22:01:39.48 -12:04:38.5 2452882.8300000 0.89 500 L3q-smooth.eff +-2. -2.5 +-2. 1.5 + 2. 2.5 + 2. -1.5 +# +# L3w block +# +8.00 1.00 04:17:14.71 +21:50:00.0 2452989.8165311 0.87 500 L3w-smooth.eff +8.00 1.00 04:50:41.56 +22:58:33.6 2452989.8296229 0.87 500 L3w-smooth.eff +# +# L3s block +# +poly 4 23:43:22.00 -01:18:42.5 2452909.8670000 0.83 500 L3s-smooth.eff +-7. -3.20764 +-7. -2.20764 + 7. 3.20764 + 7. 2.20764 +# +# L3y block +# +4.00 4.00 07:30:39.60 +21:48:15.0 2452997.9570000 0.85 500 L3y-smooth.eff +# +# L4j block +4.00 2.00 15:03:37.90 -16:19:00.0 2453120.9341016 0.89 500 L4j-smooth.eff +4.00 2.00 15:19:54.35 -17:23:18.5 2453120.9454667 0.89 500 L4j-smooth.eff +# L4h block +4.00 2.00 13:27:56.10 -08:14:20.0 2453121.8249416 0.89 500 L4h-smooth.eff +3.50 2.00 13:43:40.50 -09:45:00.0 2453121.8362773 0.89 500 L4h-smooth.eff +# L4k block +4.00 2.00 15:03:35.00 -18:15:42.0 2453149.8573703 0.90 500 L4k-smooth.eff +4.00 2.00 15:19:51.50 -19:19:57.0 2453149.8685572 0.90 500 L4k-smooth.eff +# L4m block +6.00 1.00 19:01:54.83 -23:09:36.4 2453181.9567119 0.89 500 L4m-smooth.eff +6.00 1.00 19:27:00.80 -22:24:49.2 2453181.9651722 0.89 500 L4m-smooth.eff +# L4n block +7.00 1.00 19:08:07.46 -22:01:49.1 2453208.9339484 0.90 500 L4n-smooth.eff +7.00 1.00 19:37:23.47 -21:04:04.8 2453208.9458980 0.90 500 L4n-smooth.eff +# L4o block +6.00 1.00 19:01:47.45 -24:06:53.8 2453210.9279286 0.90 500 L4o-smooth.eff +7.00 1.00 19:29:01.82 -23:24:16.3 2453210.9378452 0.90 500 L4o-smooth.eff +# L4p block +4.00 2.00 20:45:23.22 -18:59:46.4 2453232.8416795 0.85 500 L4p-smooth.eff +4.00 2.00 21:01:36.60 -17:53:50.5 2453232.8549195 0.85 500 L4p-smooth.eff +# L4q block +4.00 2.00 21:17:44.53 -16:42:31.2 2453236.8527797 0.85 500 L4q-smooth.eff +4.00 2.00 21:33:45.46 -15:26:41.3 2453236.8658183 0.85 500 L4q-smooth.eff +# L4v block +4.00 2.00 02:26:53.36 +14:32:03.2 2453318.8793730 0.78 500 L4v-smooth.eff +3.50 2.00 02:42:55.80 +15:48:10.4 2453318.8923642 0.78 500 L4v-smooth.eff +# +# L5c block +2.00 2.00 09:01:05.00 +17:56:40.0 2453411.7959145 0.84 500 L5c-smooth.eff +3.00 2.00 09:11:11.50 +17:13:16.1 2453411.8024141 0.84 500 L5c-smooth.eff +2.00 2.00 09:21:14.40 +16:27:27.4 2453411.8106376 0.84 500 L5c-smooth.eff +1.00 1.00 09:27:16.34 +16:28:18.1 2453411.8286424 0.84 500 L5c-smooth.eff +# L5i block +4.00 2.00 16:09:18.20 -21:57:38:0 2453502.9484194 0.90 500 L5i-smooth.eff +4.00 2.00 16:25:57:20 -22:38:20.0 2453502.9615431 0.90 500 L5i-smooth.eff +# L5j block +4.00 2.00 16:01:01.00 -19:35:46.0 2453531.9001671 0.89 500 L5j-smooth.eff +4.00 2.00 16:17:36.10 -20:22:54.0 2453531.9116918 0.89 500 L5j-smooth.eff +# L5r block +2.91 1.97 22:32:16.80 +03:25:50.0 2453616.8042273 0.90 500 L5r-smooth.eff +1.00 1.00 22:36:06.38 +04:53:28.3 2453616.8092135 0.90 500 L5r-smooth.eff +1.95 1.97 22:41:50.10 +04:24:52.3 2453616.8125445 0.90 500 L5r-smooth.eff +# L5s block +2.92 1.97 22:24:35.47 +14:05:15.6 2453616.8225482 0.90 500 L5s-smooth.eff +1.00 1.00 22:28:28.28 +15:32:56.5 2453616.8274346 0.90 500 L5s-smooth.eff +2.00 1.97 22:34:10.10 +15:04:40.0 2453616.8307352 0.90 500 L5s-smooth.eff +# L7a block +1.00 1.00 08:57:19.75 +15:52:32.0 2454119.9187501 0.89 500 L7a-smooth.eff +2.00 1.50 08:57:38.25 +18:33:44.9 2454119.8411424 0.89 500 L7a-smooth.eff +2.75 1.92 08:43:11.55 +16:28:50.0 2454119.8392796 0.89 500 L7a-smooth.eff +4.00 2.75 08:45:10.00 +18:50:00.0 2454119.8245472 0.89 500 L7a-smooth.eff +2.17 2.18 08:31:35.35 +19:30:20.0 2454115.9009350 0.89 500 L7a-smooth.eff +# +# Presurvey block +3.50 1.88 21:59:59.30 -12:59:59.0 2452491.9932900 0.90 500 presurvey-smooth.eff diff --git a/src/ossssim/Characterizations/CFEPS/presurvey-smooth.eff b/src/ossssim/Characterizations/CFEPS/presurvey-smooth.eff new file mode 100644 index 0000000..3199c1a --- /dev/null +++ b/src/ossssim/Characterizations/CFEPS/presurvey-smooth.eff @@ -0,0 +1,26 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.8 8. -20. 15. +# +mag_error= 0.027 0.406 24.7 0.9 23.9 -0.5 +# +phot_frac= 1.000 0.0 0.0 +# +track_frac= 1.0 23.3 -2.5 +# +filter= R +# +rates= 0.00 20.00 +function= double +double_param= 0.905 24.197 0.615 0.309 +# +# Limiting magnitude of the block +mag_lim= 24.05 diff --git a/src/ossssim/Characterizations/Deep_Surveys/2015AM.eff b/src/ossssim/Characterizations/Deep_Surveys/2015AM.eff new file mode 100644 index 0000000..33af820 --- /dev/null +++ b/src/ossssim/Characterizations/Deep_Surveys/2015AM.eff @@ -0,0 +1,71 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 12.0 20.0 +# +mag_error= 0.020 0.12 23.8 -0.14 24.7 -0.34 +# +phot_frac= 0.073 0.364 0.563 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.938154340 1.07404441E-02 24.9222641 0.156125039 +# Goodness of fit (reduced chi^2): 0.967 +# +# Limiting magnitude of the block +mag_lim= 24.91 +# +rates= 2.00 6.00 +function= square +square_param= 0.916795731 1.27213169E-02 24.9023361 0.148992002 +# Goodness of fit (reduced chi^2): 0.269 +# +# Limiting magnitude of the block +mag_lim= 24.87 +# +rates= 6.00 8.00 +function= square +square_param= 0.890322566 1.30775571E-02 24.8419151 0.148460299 +# Goodness of fit (reduced chi^2): 0.696 +# +# Limiting magnitude of the block +mag_lim= 24.79 +# +rates= 8.00 10.00 +function= square +square_param= 0.881018519 1.35978991E-02 24.7838840 0.146249115 +# Goodness of fit (reduced chi^2): 0.504 +# +# Limiting magnitude of the block +#mag_lim= 24.73 +mag_lim= 24.63 +# +rates= 10.00 12.00 +function= square +square_param= 0.865377665 1.44656133E-02 24.7113113 0.148179635 +# Goodness of fit (reduced chi^2): 0.799 +# +# Limiting magnitude of the block +#mag_lim= 24.65 +mag_lim= 24.55 +# +rates= 12.00 15.00 +function= square +square_param= 0.845461726 1.48604941E-02 24.6220360 0.151784837 +# Goodness of fit (reduced chi^2): 0.846 +# +# Limiting magnitude of the block +#mag_lim= 24.55 +mag_lim= 24.45 +# diff --git a/src/ossssim/Characterizations/Deep_Surveys/2015AP.eff b/src/ossssim/Characterizations/Deep_Surveys/2015AP.eff new file mode 100644 index 0000000..5e8605d --- /dev/null +++ b/src/ossssim/Characterizations/Deep_Surveys/2015AP.eff @@ -0,0 +1,72 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 20.0 22.0 +# +mag_error= 0.035 0.21 24.4 -0.05 24.8 -0.4 +# +phot_frac= 0.129 0.279 0.592 +# +track_frac= 0.9865 25.35 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.947899103 1.17114708E-02 24.7796631 0.183700129 +# Goodness of fit (reduced chi^2): 2.188 +# +# Limiting magnitude of the block +mag_lim= 24.77 +# +rates= 2.00 5.00 +function= square +square_param= 0.926963389 1.31419227E-02 24.7708035 0.178037807 +# Goodness of fit (reduced chi^2): 1.311 +# +# Limiting magnitude of the block +#mag_lim= 24.74 +mag_lim= 24.80 +# +rates= 5.00 8.00 +function= square +square_param= 0.898972332 1.24170277E-02 24.6998901 0.174402624 +# Goodness of fit (reduced chi^2): 0.726 +# +# Limiting magnitude of the block +mag_lim= 24.66 +# +rates= 8.00 10.00 +function= square +square_param= 0.877519727 1.25099272E-02 24.6331863 0.174904048 +# Goodness of fit (reduced chi^2): 0.840 +# +# Limiting magnitude of the block +#mag_lim= 24.59 +mag_lim= 24.49 +# +rates= 10.00 12.00 +function= square +square_param= 0.860023141 1.24099599E-02 24.5626755 0.177125990 +# Goodness of fit (reduced chi^2): 0.418 +# +# Limiting magnitude of the block +#mag_lim= 24.51 +mag_lim= 24.41 +# +rates= 12.00 15.00 +function= double +double_param= 0.825767696 24.6297474 0.910857081 0.311173081 +# Goodness of fit (reduced chi^2): 2.340 +# +# Limiting magnitude of the block +#mag_lim= 24.42 +mag_lim= 24.32 +# diff --git a/src/ossssim/Characterizations/Deep_Surveys/2015BC.eff b/src/ossssim/Characterizations/Deep_Surveys/2015BC.eff new file mode 100644 index 0000000..ff06bab --- /dev/null +++ b/src/ossssim/Characterizations/Deep_Surveys/2015BC.eff @@ -0,0 +1,74 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.02 0.27 25.0 0.001 24.0 -0.22 +# +phot_frac= 0.129 0.279 0.592 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.933323383 1.22420564E-02 24.8778725 0.129970565 +# Goodness of fit (reduced chi^2): 2.789 +# +# Limiting magnitude of the block +# OK +mag_lim= 24.86 +# +rates= 2.00 6.00 +function= double +double_param= 0.878271341 24.9278564 0.235119641 0.791498780 +# Goodness of fit (reduced chi^2): 8.641 +# +# Limiting magnitude of the block +# OK +mag_lim= 24.78 +# +rates= 6.00 8.00 +function= square +square_param= 0.863195181 1.08388867E-02 24.7044296 0.136396363 +# Goodness of fit (reduced chi^2): 1.871 +# +# Limiting magnitude of the block +mag_lim= 24.67 +# +rates= 8.00 10.00 +function= square +square_param= 0.843950450 1.24595305E-02 24.6312561 0.145581514 +# Goodness of fit (reduced chi^2): 1.763 +# +# Limiting magnitude of the block +#mag_lim= 24.58 +mag_lim= 24.48 +# +rates= 10.00 12.00 +function= square +square_param= 0.812560320 1.14012510E-02 24.5263748 0.131260082 +# Goodness of fit (reduced chi^2): 2.618 +# +# Limiting magnitude of the block +#mag_lim= 24.47 +mag_lim= 24.37 +# +rates= 12.00 15.00 +function= square +square_param= 0.784676313 1.28535815E-02 24.3943558 0.145704076 +# Goodness of fit (reduced chi^2): 1.097 +# +# Limiting magnitude of the block +#mag_lim= 24.32 +mag_lim= 24.22 +# diff --git a/src/ossssim/Characterizations/Deep_Surveys/2015BD.eff b/src/ossssim/Characterizations/Deep_Surveys/2015BD.eff new file mode 100644 index 0000000..a420128 --- /dev/null +++ b/src/ossssim/Characterizations/Deep_Surveys/2015BD.eff @@ -0,0 +1,73 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.02 0.22 25.0 -0.02 24.5 -0.2 +# +phot_frac= 0.129 0.279 0.592 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.952559114 7.21653039E-03 25.2269707 0.151720747 +# Goodness of fit (reduced chi^2): 1.411 +# +# Limiting magnitude of the block +mag_lim= 25.23 +# +rates= 2.00 6.00 +function= square +square_param= 0.930487275 9.34686325E-03 25.1766472 0.171281680 +# Goodness of fit (reduced chi^2): 0.790 +# +# Limiting magnitude of the block +#mag_lim= 25.16 +mag_lim= 25.15 +# +rates= 6.00 8.00 +function= square +square_param= 0.909285843 1.10610612E-02 25.0602646 0.155915767 +# Goodness of fit (reduced chi^2): 1.511 +# +# Limiting magnitude of the block +mag_lim= 25.03 +# +rates= 8.00 10.00 +function= square +square_param= 0.889755666 1.15875900E-02 24.9648933 0.160667822 +# Goodness of fit (reduced chi^2): 1.838 +# +# Limiting magnitude of the block +#mag_lim= 24.92 +mag_lim= 24.82 +# +rates= 10.00 12.00 +function= square +square_param= 0.877756357 1.17960759E-02 24.8429909 0.153235033 +# Goodness of fit (reduced chi^2): 2.457 +# +# Limiting magnitude of the block +#mag_lim= 24.80 +mag_lim= 24.70 +# +rates= 12.00 15.00 +function= square +square_param= 0.852235436 1.44369807E-02 24.6762257 0.158442006 +# Goodness of fit (reduced chi^2): 1.905 +# +# Limiting magnitude of the block +#mag_lim= 24.61 +mag_lim= 24.51 +# diff --git a/src/ossssim/Characterizations/Deep_Surveys/2015BS.eff b/src/ossssim/Characterizations/Deep_Surveys/2015BS.eff new file mode 100644 index 0000000..4ecce61 --- /dev/null +++ b/src/ossssim/Characterizations/Deep_Surveys/2015BS.eff @@ -0,0 +1,73 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.06 0.088 23.65 -0.09 24.5 -0.16 +# +phot_frac= 0.176 0.162 0.662 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.959340930 6.62358711E-03 25.3835297 0.206354752 +# Goodness of fit (reduced chi^2): 1.842 +# +# Limiting magnitude of the block +mag_lim= 25.39 +# +rates= 2.00 6.00 +function= square +square_param= 0.935269296 7.23091885E-03 25.3351059 0.198516250 +# Goodness of fit (reduced chi^2): 0.994 +# +# Limiting magnitude of the block +#mag_lim= 25.33 +mag_lim= 25.15 +# +rates= 6.00 8.00 +function= square +square_param= 0.916525841 7.48339947E-03 25.2458649 0.186383575 +# Goodness of fit (reduced chi^2): 1.105 +# +# Limiting magnitude of the block +mag_lim= 25.23 +# +rates= 8.00 10.00 +function= square +square_param= 0.907858610 9.18652676E-03 25.1958694 0.181990102 +# Goodness of fit (reduced chi^2): 1.180 +# +# Limiting magnitude of the block +#mag_lim= 25.17 +mag_lim= 25.07 +# +rates= 10.00 12.00 +function= square +square_param= 0.896520257 9.09573119E-03 25.1039543 0.170556724 +# Goodness of fit (reduced chi^2): 1.060 +# +# Limiting magnitude of the block +#mag_lim= 25.07 +mag_lim= 24.97 +# +rates= 12.00 15.00 +function= square +square_param= 0.871073961 1.04473457E-02 24.9980659 0.169737995 +# Goodness of fit (reduced chi^2): 0.928 +# +# Limiting magnitude of the block +#mag_lim= 24.95 +mag_lim= 24.85 +# diff --git a/src/ossssim/Characterizations/Deep_Surveys/2015BT.eff b/src/ossssim/Characterizations/Deep_Surveys/2015BT.eff new file mode 100644 index 0000000..d59de0a --- /dev/null +++ b/src/ossssim/Characterizations/Deep_Surveys/2015BT.eff @@ -0,0 +1,73 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.05 0.12 23.6 -0.1 24.5 -0.3 +# +phot_frac= 0.111 0.333 0.556 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.779432952 9.55713075E-03 25.0930557 0.154308304 +# Goodness of fit (reduced chi^2): 1.206 +# +# Limiting magnitude of the block +mag_lim= 25.00 +# +rates= 2.00 6.00 +function= square +square_param= 0.733703613 7.04801176E-03 25.0357132 0.176427126 +# Goodness of fit (reduced chi^2): 1.006 +# +# Limiting magnitude of the block +#mag_lim= 24.93 +mag_lim= 24.97 +# +rates= 6.00 8.00 +function= square +square_param= 0.704545498 7.21824309E-03 24.9767361 0.179162621 +# Goodness of fit (reduced chi^2): 0.794 +# +# Limiting magnitude of the block +mag_lim= 24.85 +# +rates= 8.00 10.00 +function= square +square_param= 0.682164788 6.79409411E-03 24.9148598 0.169436932 +# Goodness of fit (reduced chi^2): 1.131 +# +# Limiting magnitude of the block +#mag_lim= 24.78 +mag_lim= 24.68 +# +rates= 10.00 12.00 +function= square +square_param= 0.680245638 9.88271739E-03 24.8708954 0.168957204 +# Goodness of fit (reduced chi^2): 0.803 +# +# Limiting magnitude of the block +#mag_lim= 24.69 +mag_lim= 24.59 +# +rates= 12.00 15.00 +function= square +square_param= 0.654836535 9.64413211E-03 24.7750816 0.175563812 +# Goodness of fit (reduced chi^2): 1.331 +# +# Limiting magnitude of the block +#mag_lim= 24.57 +mag_lim= 24.47 +# diff --git a/src/ossssim/Characterizations/Deep_Surveys/Deep_Surveys_v11.CDS b/src/ossssim/Characterizations/Deep_Surveys/Deep_Surveys_v11.CDS new file mode 100644 index 0000000..35c42e1 --- /dev/null +++ b/src/ossssim/Characterizations/Deep_Surveys/Deep_Surveys_v11.CDS @@ -0,0 +1,708 @@ +Title: The Outer Solar System Origins Survey: +Authors: Bannister M.T., Kavelaars J.J., Petit J.-M., Gladman B.J., Gwyn S.D.J., +Table: Orbit and discovery properties of the characterized OSSOS objects +================================================================================ +Byte-by-byte Description of file: Deep_Surveys_v11.CDS +-------------------------------------------------------------------------------- + Bytes Format Units Label Explanation (with possible notes) +-------------------------------------------------------------------------------- + 1- 3 A3 --- cl Orbital population/class (1) + 5- 5 A1 --- p Possibly additional information based on + class + IF cl=cent OR sca OR det: + no information ('x') + IF cl=res: + U or N indicating MMR planet (2) + IF cl=cla, portion of classical belt is + indicated as: + i : inner (a < a_(3:2 resonance) ) + m : inner (a_(3:2 resonance) < a + < a_(2:1 resonance) ) + o : outer (a < a_(2:1 resonance) ) + and not detached + 7- 9 I3 --- j Resonant object is in the j : k resonance + (-1 is null) + 11- 13 I3 --- k Resonant object is in the j : k resonance + (-1 is null) + 15- 16 A2 --- sh [ISH] Orbit classification status (3) + 18- 27 A10 --- object Object identifier/designation (4) + See ossos-survey.org/tnodb for a + correspondence list to MPC + 29- 33 F5.2 mag mag Cleaned mean magnitude DURING DISCOVERY + Cleaned = flagged photometry not part of + average + 35- 39 F5.3 mag e_mag Uncertainty in magnitude + (applies to Hsur also) + 41- 41 A1 --- Filt Filter used in discovery observation + 43- 47 F5.2 mag Hsur Surmised Absolute magnitude H, in + discovery filter + 49- 55 F7.3 AU dist Object distance at discovery (5) + 57- 63 F7.3 AU e_dist Uncertainty in dist (6) + 65- 68 I4 --- Nobs Number of observations available + 70- 78 F9.4 years time Length of measured orbital arc + (last-first observation) + 80- 85 F6.3 arcsec av-xres Mean orbit-fit residual, RA + 87- 92 F6.3 arcsec av-yres Mean orbit-fit residual, DEC + 94- 99 F6.3 arcsec max-x Maximum orbit-fit residual, RA + 101-106 F6.3 arcsec max-y Maximum orbit-fit residual, DEC + 108-118 F11.6 AU a Semimajor axis (5) + 120-129 F10.4 AU e_a Uncertainty in a (6) + 131-139 F9.6 --- e Orbital eccentricity (5) + 141-149 F9.6 --- e_e Uncertainty in e (6) + 151-157 F7.3 deg i Inclination to the ecliptic (5) + 159-165 F7.3 deg e_i Uncertainty in i (6) + 167-174 F8.3 deg Omega Longitude of ascending node + 176-182 F7.3 deg e_Omega Uncertainty in Omega + 184-191 F8.3 deg omega Argument of perihelion + 193-201 F9.3 deg e_omega Uncertainty in omega + 203-212 F10.3 d tperi Modified Julian Date of osculating + perihelion passage + 214-223 F10.3 d e_tperi Uncertainty in tperi + 225-231 F7.3 deg RAdeg Right ascension (J2000) at mean equinox of + discovery + 233-239 F7.3 deg DEdeg Declination (J2000) at mean equinox of + discovery + 241-253 F13.5 d JD Central Julian Date of of first discovery + image + 255-259 F5.2 arcsec/h rate Angular rate of sky motion at discovery + 261-267 A7 --- MPC Compact MPC designation +-------------------------------------------------------------------------------- +Note (1): Orbital population/Dynamical class, based on scheme from + Gladman et al. (2008), "Solar System beyond Neptune" + cen = centaur + sca = scattering disk object + cla = classical belt + res = in mean-motion resonance + det = detached object ( a>a_(2:1) and e>0.24 and non-resonant and + non-scattering ) + jco = Jupiter Coupled +Note (2): Mean-motion resonance occupancy is checked for planets [U]ranus and + [N]eptune. +Note (3): Orbit classification status: + First character: + I = the orbit classification is currently insecure; + or + S = the orbit classification is secure. + Optional second character + H = human operator intervened and set the given orbit security status +Note (4): Survey designations here based on their OSSOS discovery, with a format + "o" for OSSOS, the last digit of the year in which the object was discovered + by OSSOS (3-6), the block ID letter (e,o) and the sequential number to give + unique identifiers, "PD" indicates previous discovery. + Object beginning "KO2" are Presurvey objects (Jones et al 2006, Icarus) + Object beginning "L" are CFEPS objects (Petit et al 2011, AJ)) + Object beginning "HL" are Hilat Survey objects (Petit et al 2016, AJ)) + Object beginning "ma" are from the PhD thesis of (Alexandersen et al + 2016, AJ)) +Note (5): J2000 ecliptic barycentric coordinates. +Note (6): Uncertainties from the covariance matrix of the orbital parameter + confidence regions as determined by the method described in + Bernstein and Khushalani (2000). +-------------------------------------------------------------------------------- +cen x -1 -1 S o5c001 23.72 0.180 r 11.75 15.857 0.000 22 1.3710 0.071 0.066 0.215 0.165 28.529148 0.0070 0.457113 0.000188 36.539 0.000 227.107 0.000 159.553 0.043 56177.744 2.067 46.727 16.366 2457332.79151 7.89 K15VG4E +sca x -1 -1 S o5c002 23.74 0.077 r 11.18 17.958 0.000 22 2.0861 0.092 0.043 0.205 0.100 33.556533 0.0048 0.524845 0.000085 15.414 0.000 51.640 0.000 313.637 0.008 54631.750 0.287 50.911 18.958 2457332.80734 6.60 K15VG7Z +res N 3 2 S o5c003 24.09 0.135 r 9.87 26.318 0.001 29 1.4394 0.091 0.101 0.284 0.254 39.267439 0.0040 0.329848 0.000060 16.873 0.001 230.182 0.000 183.254 0.210 57541.443 24.917 49.640 17.817 2457332.83360 4.66 K15VG4X +res N 3 2 S o5c004 22.89 0.063 r 8.48 27.660 0.001 33 1.4611 0.046 0.062 0.114 0.096 39.536406 0.0035 0.301455 0.000096 14.162 0.001 58.156 0.000 356.300 0.190 58178.245 24.475 46.675 14.815 2457332.79678 4.49 K15VG4O +res N 1 1 S o5c005 23.41 0.060 r 8.83 28.750 0.000 36 2.3484 0.055 0.043 0.220 0.132 30.120434 0.0019 0.085902 0.000229 16.855 0.000 225.146 0.000 245.625 0.088 66355.988 10.418 46.349 16.377 2457332.79151 4.44 K15VG5V +res N 3 2 S o5c006 24.44 0.131 r 9.71 29.744 0.000 51 3.0803 0.077 0.067 0.150 0.134 39.238241 0.0025 0.252464 0.000066 18.286 0.000 54.153 0.000 332.491 0.034 54227.103 4.682 46.611 15.421 2457332.79678 4.25 K15VG4M +res N 4 3 S o5c007 24.37 0.130 r 9.63 29.841 0.001 25 2.2747 0.072 0.041 0.138 0.150 36.388166 0.0039 0.207333 0.000241 4.350 0.000 198.771 0.003 172.757 0.091 52014.949 11.763 46.136 15.083 2457332.79678 4.21 K15VG7M +res N 3 2 S o5c008 24.34 0.143 r 9.53 30.012 0.002 21 1.2266 0.099 0.068 0.243 0.232 39.582560 0.0114 0.244865 0.000440 15.036 0.001 55.616 0.000 9.478 0.509 59071.907 75.124 51.610 18.159 2457332.81257 4.06 K15VG4Q +res N 1 1 S o5c009 22.82 0.035 r 8.03 30.196 0.001 35 2.3483 0.076 0.032 0.141 0.103 30.101883 0.0021 0.051140 0.000369 4.998 0.000 78.925 0.003 65.144 0.059 72500.886 11.404 46.200 14.587 2457332.79678 4.24 K15VG5W +res N 3 2 S o5c010 24.59 0.169 r 9.78 30.297 0.000 31 3.0800 0.080 0.081 0.251 0.285 39.321659 0.0033 0.237722 0.000096 11.599 0.000 220.435 0.000 169.071 0.055 54443.219 7.994 46.729 15.744 2457332.79151 4.12 K15VG4L +res N 3 2 S o5c011 24.20 0.380 r 9.36 30.521 0.000 40 2.8481 0.044 0.044 0.193 0.122 39.216538 0.0036 0.246837 0.000108 1.967 0.000 186.017 0.008 255.651 0.034 62276.235 4.494 46.588 16.055 2457332.79151 4.12 K15VG4K +res N 3 2 S o5c012 22.95 0.037 r 7.98 31.189 0.001 28 2.0919 0.076 0.050 0.298 0.115 39.267277 0.0041 0.206164 0.000068 1.655 0.000 100.155 0.017 317.463 0.140 58071.189 22.270 51.292 17.399 2457332.81779 3.97 K15VG4R +res N 4 3 S o5c013 24.34 0.120 r 9.39 31.311 0.001 20 1.4611 0.080 0.057 0.243 0.291 36.466391 0.0067 0.145788 0.000486 10.615 0.001 49.813 0.000 14.682 0.676 60035.741 110.362 45.958 16.978 2457332.78626 3.98 K15VG7L +res N 2 1 S o5c014 23.61 0.073 r 8.51 32.161 0.000 38 2.0919 0.051 0.045 0.215 0.151 47.646715 0.0045 0.326628 0.000067 1.045 0.000 104.076 0.024 316.308 0.080 58613.434 12.041 50.505 17.624 2457332.83360 3.81 K15VG6B +res N 3 2 S o5c015 24.64 0.204 r 9.54 32.194 0.001 31 2.3158 0.079 0.098 0.418 0.337 39.363854 0.0048 0.184635 0.000199 1.285 0.000 166.323 0.030 233.913 0.237 55405.619 39.384 49.752 17.065 2457332.83360 3.90 K15VG4Y +res N 2 1 S o5c016 22.97 0.037 r 7.88 32.284 0.001 30 2.1110 0.045 0.050 0.146 0.076 47.689405 0.0152 0.368111 0.000351 4.115 0.000 102.452 0.007 264.024 0.058 51142.036 6.443 46.411 13.828 2457332.80199 3.88 K15VG5Z +res N 1 1 S o5c017 23.98 0.085 r 8.85 32.335 0.001 27 1.4395 0.101 0.072 0.246 0.210 30.073481 0.0019 0.075217 0.000051 17.140 0.001 226.745 0.000 7.826 1.013 27533.963 168.941 51.147 16.691 2457332.81779 3.94 K15VG5X +res N 3 2 S o5c018 24.16 0.112 r 8.96 32.874 0.001 29 2.0919 0.076 0.082 0.269 0.196 39.221221 0.0094 0.252752 0.000424 5.296 0.001 223.628 0.001 126.773 0.048 47603.021 3.318 50.960 17.707 2457332.81257 3.83 K15VG4P +res N 3 2 S o5c019 24.34 0.130 r 9.15 32.927 0.000 38 2.8482 0.078 0.038 0.216 0.163 39.629024 0.0037 0.204044 0.000160 2.647 0.000 119.189 0.010 250.508 0.054 50380.397 7.682 49.462 15.613 2457332.84408 3.77 K15VG5B +res N 3 2 S o5c020 24.67 0.200 r 9.46 33.057 0.001 25 2.2662 0.163 0.115 0.356 0.234 39.617351 0.0129 0.281934 0.000500 14.167 0.001 225.016 0.000 118.184 0.036 46976.674 1.213 49.820 16.579 2457332.83883 3.92 K15VG5A +res N 5 2 S o5c021 24.53 0.154 r 9.18 34.060 0.001 30 2.2663 0.071 0.081 0.219 0.364 55.286757 0.0072 0.386227 0.000089 29.716 0.001 56.472 0.000 3.686 0.082 58931.508 13.855 50.136 15.409 2457332.84408 3.83 K15VG7E +sca x -1 -1 SH o5c022 23.68 0.078 r 8.30 34.284 0.001 29 2.0919 0.057 0.139 0.254 0.382 71.896589 0.0236 0.528610 0.000202 5.612 0.001 61.686 0.001 336.474 0.066 54921.147 10.278 51.116 17.744 2457332.81257 3.56 K15VG8A +res N 3 2 S o5c023 23.40 0.057 r 7.98 34.655 0.001 33 2.3158 0.072 0.042 0.194 0.145 39.431548 0.0111 0.159176 0.000713 1.382 0.001 197.573 0.017 167.166 0.215 48663.916 32.860 49.547 17.437 2457332.83360 3.66 K15VG4W +res N 3 2 S o5c024 24.07 0.105 r 8.58 35.147 0.001 26 1.4395 0.051 0.046 0.117 0.097 39.360089 0.0172 0.154283 0.001495 20.722 0.001 228.750 0.000 237.446 0.455 67274.084 68.752 51.396 16.987 2457332.81779 3.68 K15VG4S +res N 2 1 S o5c025 24.30 0.132 r 8.81 35.169 0.001 27 2.0919 0.079 0.066 0.270 0.184 47.760891 0.0319 0.418284 0.000628 13.153 0.001 51.495 0.000 288.670 0.022 46515.086 3.095 51.172 19.131 2457332.80734 3.66 K15VG6A +res N 3 2 S o5c026 24.74 0.211 r 9.22 35.431 0.001 26 1.4395 0.110 0.100 0.363 0.472 39.287251 0.0420 0.261024 0.001846 7.034 0.001 76.523 0.004 253.461 0.042 43835.660 18.340 51.463 15.719 2457332.82308 3.67 K15VG4T +res N 3 2 S o5c027 24.05 0.103 r 8.47 35.901 0.001 26 1.9494 0.071 0.067 0.196 0.296 39.436414 0.0112 0.219014 0.000596 1.754 0.001 208.557 0.013 281.846 0.046 70988.986 3.049 50.514 17.745 2457332.83360 3.60 K15VG4Z +res N 3 2 S o5c028 24.12 0.100 r 8.50 36.288 0.001 27 2.3158 0.054 0.055 0.142 0.275 39.509625 0.0031 0.089501 0.000506 1.765 0.001 48.706 0.002 30.340 0.768 62927.198 158.200 50.329 18.579 2457332.82832 3.48 K15VG4V +res N 7 4 SH o5c029 23.41 0.180 r 7.81 36.293 0.001 41 2.3485 0.049 0.046 0.158 0.117 43.576480 0.0030 0.167677 0.000056 6.834 0.001 227.192 0.000 187.264 0.188 58443.985 38.469 46.795 17.304 2457332.78626 3.50 K15VG6R +det x -1 -1 S o5c030 22.91 0.037 r 7.28 36.587 0.001 35 3.0803 0.033 0.023 0.096 0.085 48.752123 0.0048 0.251817 0.000086 15.872 0.001 226.388 0.000 171.900 0.075 55330.288 14.827 46.057 16.780 2457332.78626 3.49 K15VG8H +res N 2 1 S o5c031 23.20 0.040 r 7.55 36.699 0.001 47 3.0803 0.056 0.058 0.180 0.138 47.733299 0.0074 0.302797 0.000215 1.288 0.000 83.025 0.011 272.535 0.033 47627.155 3.564 46.665 16.728 2457332.78626 3.48 K15VG5Y +res N 11 7 S o5c032 24.04 0.091 r 8.38 36.740 0.001 38 2.3458 0.044 0.038 0.172 0.173 40.650380 0.0047 0.117415 0.000384 21.718 0.001 55.483 0.000 313.126 0.215 49151.100 41.304 46.739 14.440 2457332.80199 3.54 K15VG7P +cla m -1 -1 S o5c033 23.57 0.110 r 7.87 36.939 0.001 32 2.3158 0.052 0.048 0.126 0.106 42.476876 0.0037 0.130871 0.000107 9.841 0.001 224.724 0.001 181.453 0.279 56111.018 59.657 49.936 17.059 2457332.83360 3.44 K15VH0E +cla i -1 -1 S o5c034 23.61 0.125 r 7.90 37.010 0.001 28 2.3158 0.089 0.094 0.197 0.270 38.696632 0.0029 0.043937 0.000133 20.102 0.001 233.192 0.000 171.517 0.885 55670.308 197.381 49.952 18.741 2457332.82832 3.54 K15VG7X +cla m -1 -1 S o5c035 24.19 0.121 r 8.40 37.684 0.001 34 2.3158 0.073 0.079 0.198 0.197 40.072670 0.0029 0.059611 0.000056 26.799 0.001 55.061 0.000 358.085 0.635 57620.394 144.748 50.450 16.964 2457332.83883 3.47 K15VH0L +cla i -1 -1 S o5c036 23.66 0.073 r 7.88 37.791 0.001 43 3.0804 0.087 0.051 0.178 0.165 38.078812 0.0023 0.008057 0.000108 1.279 0.000 135.045 0.025 253.358 2.003 52496.618 468.804 47.098 16.259 2457332.79151 3.41 K15VG7W +cla m -1 -1 S o5c037 23.66 0.070 r 7.79 38.415 0.001 32 2.2662 0.052 0.047 0.213 0.077 41.608197 0.0049 0.103727 0.000496 16.457 0.001 223.372 0.000 234.785 0.286 67748.475 58.082 49.822 15.827 2457332.84408 3.44 K15VH0N +det x -1 -1 S o5c038 23.34 0.050 r 7.46 38.551 0.001 33 3.0720 0.056 0.048 0.175 0.188 58.828882 0.0081 0.346088 0.000103 14.301 0.001 221.612 0.000 182.436 0.088 55791.259 18.242 49.582 15.704 2457332.84408 3.28 K15VG8K +res N 5 3 S o5c039 24.03 0.100 r 8.12 38.768 0.001 33 2.2664 0.062 0.046 0.176 0.202 42.316573 0.0154 0.253590 0.000673 4.753 0.001 67.758 0.002 69.121 0.021 73234.848 7.423 49.928 16.961 2457332.83883 3.31 K15VG7G +res N 3 2 S o5c040 23.54 0.061 r 7.59 39.169 0.001 30 2.3159 0.058 0.062 0.238 0.145 39.518597 0.0086 0.139142 0.000696 37.500 0.001 231.806 0.000 86.008 0.038 37583.535 22.228 49.995 18.123 2457332.82832 3.44 K15VG4U +cla m -1 -1 SH o5c041 24.63 0.160 r 8.68 39.316 0.001 33 2.8508 0.089 0.102 0.277 0.200 43.474388 0.0070 0.173241 0.000357 2.504 0.001 189.035 0.011 285.049 0.059 71343.412 7.373 46.988 15.881 2457332.79151 3.25 K15VG9C +cla m -1 -1 S o5c042 24.10 0.181 r 8.13 39.342 0.001 33 2.3158 0.076 0.080 0.165 0.207 42.052179 0.0036 0.075138 0.000398 0.506 0.000 107.859 0.074 337.593 0.519 65276.566 118.695 50.154 17.969 2457332.83360 3.27 K15VH0G +res N 3 2 S o5c043 24.43 0.169 r 8.46 39.475 0.001 38 3.0803 0.052 0.053 0.266 0.195 39.444600 0.0078 0.241325 0.000356 9.430 0.001 62.029 0.001 90.247 0.024 76511.159 12.074 46.649 15.094 2457332.79678 3.32 K15VG4N +cla m -1 -1 S o5c044 24.41 0.160 r 8.42 39.513 0.001 36 3.0720 0.069 0.065 0.317 0.164 45.261923 0.0041 0.129496 0.000119 5.728 0.001 205.070 0.003 218.808 0.192 60361.009 45.142 49.422 15.564 2457332.84408 3.25 K15VH0M +cla m -1 -1 S o5c045 24.17 0.110 r 8.15 39.682 0.001 29 1.3465 0.122 0.053 0.281 0.206 46.777527 0.0060 0.153814 0.000450 11.209 0.001 230.587 0.000 194.055 1.025 59949.296 239.902 51.504 18.139 2457332.81257 3.25 K15VG9Y +res N 11 4 IH o5c046 24.03 0.095 r 7.98 40.239 0.001 45 3.0722 0.056 0.063 0.230 0.223 58.908495 0.0193 0.406897 0.000328 17.629 0.001 51.522 0.000 300.050 0.030 46229.409 2.564 46.658 16.550 2457332.78626 3.21 K15VG7O +cla m -1 -1 S o5c047 23.78 0.073 r 7.71 40.421 0.001 29 2.1929 0.087 0.061 0.160 0.285 42.741828 0.0043 0.055569 0.000201 2.245 0.000 161.749 0.022 259.188 0.769 60615.972 193.727 46.223 15.192 2457332.79678 3.21 K15VG9D +cla m -1 -1 S o5c048 24.34 0.130 r 8.23 40.533 0.001 34 2.3158 0.128 0.053 0.321 0.257 43.798937 0.0035 0.075032 0.000141 1.301 0.001 78.092 0.015 327.655 0.616 55587.706 155.011 50.657 17.945 2457332.81257 3.10 K15VG9T +cla m -1 -1 S o5c049 24.41 0.138 r 8.32 40.627 0.001 37 2.1929 0.044 0.060 0.182 0.260 42.900078 0.0038 0.060726 0.000383 2.885 0.001 178.110 0.013 261.194 0.594 65178.257 146.551 46.599 15.123 2457332.79678 3.14 K15VG9J +cla m -1 -1 IH o5c050 24.22 0.112 r 8.11 40.849 0.001 46 3.0722 0.093 0.093 0.161 0.259 40.675129 0.0024 0.012353 0.000367 28.118 0.001 222.555 0.000 74.974 0.699 28511.137 184.657 46.208 14.430 2457332.80199 3.31 K15VG9M +cla m -1 -1 S o5c051PD 23.51 0.064 r 7.31 41.429 0.001 44 13.0925 0.054 0.061 0.296 0.158 45.556838 0.0037 0.096773 0.000055 0.768 0.000 207.642 0.003 182.975 0.029 51527.312 7.416 51.173 18.312 2457332.81257 3.07 K04VD1A +res N 7 4 S o5c052 24.19 0.110 r 7.99 41.435 0.001 33 2.2664 0.077 0.077 0.193 0.279 43.696916 0.0150 0.202238 0.000842 8.267 0.001 67.031 0.001 71.451 0.027 76067.530 11.780 50.272 16.137 2457332.83883 3.17 K15VG6T +cla m -1 -1 S o5c053 24.52 0.150 r 8.29 41.887 0.001 29 3.0635 0.112 0.100 0.424 0.337 42.782497 0.0032 0.021570 0.000173 1.757 0.000 123.564 0.026 270.781 1.588 53460.412 430.674 46.765 15.724 2457332.79151 3.09 K15VG8Y +cla m -1 -1 S o5c054 23.89 0.195 r 7.63 41.942 0.001 37 2.3157 0.083 0.048 0.238 0.233 44.883549 0.0072 0.079536 0.000668 24.682 0.001 228.418 0.000 147.876 0.580 47595.413 144.212 51.436 16.493 2457332.82308 3.11 K15VG4B +cla m -1 -1 S o5c055 23.81 0.115 r 7.55 41.984 0.001 35 2.3158 0.078 0.054 0.167 0.186 42.508478 0.0041 0.027830 0.000823 1.588 0.001 56.809 0.002 290.899 0.712 39845.338 173.509 50.670 18.422 2457332.81257 3.15 K15VG9U +cla m -1 -1 S o5c056PD 22.02 0.079 r 5.73 42.243 0.001 60 7.1813 0.024 0.024 0.113 0.121 43.785841 0.0030 0.049222 0.000098 1.333 0.000 201.496 0.005 257.948 0.064 69760.241 16.089 51.195 17.928 2457332.81257 3.05 K14Wo9D +cla m -1 -1 S o5c057 24.09 0.145 r 7.83 42.246 0.001 46 3.0803 0.063 0.044 0.315 0.195 43.870306 0.0029 0.038939 0.000151 2.176 0.000 97.491 0.012 330.021 0.612 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3.921 0.001 203.745 0.004 81.006 0.040 41489.889 18.779 7.771 4.522 2457273.89679 3.12 K15RR7S +res N 17 4 S o5t13 24.37 0.255 r 8.53 37.494 0.001 42 2.4442 0.081 0.061 0.224 0.245 79.061455 0.0248 0.534497 0.000195 17.629 0.001 8.140 0.000 19.262 0.065 60737.228 11.425 8.463 3.834 2457273.90090 2.99 K15RR8L +cla i -1 -1 S o5t14 23.72 0.064 r 7.81 38.106 0.001 34 2.5018 0.072 0.048 0.165 0.125 37.733504 0.0051 0.068468 0.000808 23.568 0.001 191.915 0.000 73.789 0.172 35083.524 44.166 7.441 5.017 2457273.89679 3.12 K15RR8X +res N 15 8 I o5t15 24.08 0.090 r 8.15 38.202 0.001 32 2.4442 0.059 0.058 0.227 0.180 45.766015 0.0069 0.183825 0.000377 22.211 0.001 193.389 0.000 208.381 0.216 63973.924 43.895 10.276 5.535 2457273.91317 2.93 K15RR8M +cla m -1 -1 S o5t16 24.01 0.087 r 8.05 38.527 0.001 33 2.4442 0.090 0.061 0.407 0.169 44.788508 0.0134 0.175179 0.000770 17.755 0.001 192.400 0.000 133.379 0.250 47849.064 46.006 8.968 4.890 2457273.90498 2.95 K15RR9Y +res N 7 4 S o5t17 24.59 0.149 r 8.62 38.731 0.001 32 2.1793 0.080 0.085 0.297 0.266 43.653172 0.0036 0.112779 0.000072 2.610 0.001 192.182 0.001 174.318 0.400 56995.515 92.744 7.530 3.479 2457273.89268 2.98 K15RR8D +cla m -1 -1 S o5t18 24.61 0.133 r 8.56 39.296 0.001 31 2.5015 0.058 0.084 0.216 0.237 42.977698 0.0034 0.086688 0.000157 20.206 0.001 9.810 0.000 351.029 0.493 54969.540 117.595 10.079 4.590 2457273.90906 2.92 K15RS0F +cla m -1 -1 S o5t19 23.77 0.128 r 7.71 39.553 0.001 54 2.5018 0.052 0.075 0.219 0.292 42.848904 0.0052 0.111638 0.000537 15.509 0.001 6.214 0.000 308.665 0.219 45382.918 43.047 6.153 2.644 2457273.88448 3.03 K15RR9N +cla m -1 -1 S o5t20 24.62 0.126 r 8.45 40.406 0.001 29 2.1792 0.082 0.073 0.207 0.306 42.631343 0.0039 0.055064 0.000294 1.909 0.001 226.762 0.014 123.891 0.793 52328.536 198.409 9.505 5.360 2457273.91317 2.82 K15RS0G +res N 7 4 SH o5t21 24.85 0.154 r 8.68 40.512 0.001 38 2.5016 0.094 0.110 0.227 0.432 43.633315 0.0032 0.074202 0.000242 6.872 0.001 200.871 0.001 151.834 0.569 53094.348 141.822 8.625 5.249 2457273.90498 2.85 K15RR8E +res N 3 2 S o5t22 24.44 0.120 r 8.24 40.810 0.001 26 2.4306 0.125 0.086 0.378 0.225 39.570471 0.0200 0.175500 0.001327 5.457 0.001 192.996 0.001 66.243 0.172 34461.856 57.254 8.972 4.258 2457273.90090 2.91 K15RR7T +cla m -1 -1 S o5t23 24.75 0.135 r 8.55 40.808 0.001 39 2.5016 0.086 0.108 0.247 0.294 46.215536 0.0064 0.132120 0.000407 5.089 0.001 358.886 0.001 41.458 0.296 64967.972 69.136 8.340 4.584 2457273.90498 2.86 K15RR9U +cla m -1 -1 S o5t24 24.87 0.130 r 8.66 40.853 0.001 30 2.4441 0.109 0.069 0.300 0.236 44.953035 0.0056 0.106538 0.000458 2.398 0.001 225.338 0.010 179.488 0.381 65817.353 89.844 9.594 5.660 2457273.91317 2.81 K15RS0H +cla m -1 -1 S o5t25 24.75 0.140 r 8.49 41.357 0.001 23 2.3595 0.083 0.067 0.243 0.165 43.287838 0.0058 0.047137 0.000714 0.461 0.001 330.744 0.089 19.330 2.201 52082.026 573.440 9.450 4.395 2457273.90906 2.76 K15RS0C +cla m -1 -1 S o5t26 24.61 0.134 r 8.34 41.423 0.002 28 1.5322 0.112 0.070 0.236 0.193 43.171971 0.0040 0.042632 0.000751 16.024 0.001 5.458 0.000 23.361 3.108 62280.151 816.380 8.967 5.220 2457273.90498 2.88 K15RR9X +cla m -1 -1 S o5t27 24.52 0.118 r 8.23 41.635 0.001 33 2.5016 0.078 0.080 0.602 0.363 43.908403 0.0097 0.079004 0.001171 1.499 0.000 243.259 0.024 73.751 0.611 43810.227 137.506 8.864 5.165 2457273.90498 2.77 K15RR9W +cla m -1 -1 I o5t28 24.43 0.107 r 8.13 41.775 0.001 30 2.5016 0.068 0.066 0.134 0.187 45.468210 0.0197 0.139011 0.001388 1.465 0.000 281.915 0.033 26.283 0.295 42418.517 48.075 8.401 5.253 2457273.90498 2.74 K15RR9V +cla m -1 -1 S o5t29 24.26 0.103 r 7.96 41.780 0.001 35 2.1929 0.075 0.068 0.309 0.238 44.071036 0.0047 0.061603 0.000559 1.926 0.001 11.771 0.002 321.457 0.714 48209.983 181.936 7.552 3.106 2457273.89268 2.81 K15RR9P +cla m -1 -1 S o5t30 23.84 0.120 r 7.53 41.838 0.001 27 2.5016 0.056 0.048 0.167 0.084 43.790469 0.0076 0.072712 0.000976 2.170 0.001 201.666 0.004 112.658 0.495 42910.347 111.135 9.440 4.561 2457273.90906 2.74 K15RS0B +cla m -1 -1 S o5t31 22.87 0.043 r 6.57 41.892 0.001 43 1.6008 0.061 0.046 0.192 0.120 44.385490 0.0126 0.083882 0.001607 0.958 0.001 330.386 0.033 343.555 0.845 43963.221 191.709 5.346 2.928 2457273.87633 2.84 K15RO5T +cla m -1 -1 S o5t32 24.59 0.440 r 8.20 42.628 0.001 32 2.5016 0.123 0.092 0.365 0.190 43.791251 0.0053 0.035099 0.001037 2.209 0.001 9.034 0.001 318.171 1.760 45664.272 469.463 9.118 3.945 2457273.90090 2.64 K15RR9T +cla m -1 -1 S o5t33 24.95 0.161 r 8.56 42.786 0.001 30 2.2504 0.076 0.073 0.253 0.289 44.206582 0.0036 0.033104 0.000246 0.460 0.000 290.691 0.121 88.699 1.815 61276.588 503.605 4.874 2.603 2457273.87633 2.86 K15RR9L +res N 17 9 I o5t34PD 23.48 0.078 r 7.06 43.017 0.001 68 13.9934 0.058 0.088 0.269 0.166 45.958178 0.0029 0.169721 0.000033 5.081 0.000 347.100 0.000 96.968 0.014 75861.446 2.711 6.006 4.508 2457273.88855 2.76 K03SV7P +res N 7 4 SH o5t35 23.91 0.082 r 7.48 43.077 0.001 34 2.5017 0.071 0.052 0.180 0.181 43.702636 0.0079 0.083802 0.001022 4.571 0.001 201.440 0.003 249.597 0.089 79368.506 10.319 5.610 3.772 2457273.88042 2.81 K15RR8C +cla m -1 -1 S o5t36 24.51 0.192 r 8.06 43.246 0.001 35 2.4442 0.064 0.055 0.248 0.186 46.746180 0.0156 0.170748 0.000932 2.929 0.001 348.386 0.006 306.831 0.090 39385.368 4.673 7.777 4.472 2457273.89679 2.76 K15RR9Q +cla m -1 -1 S o5t37 24.91 0.160 r 8.43 43.527 0.001 34 2.5016 0.105 0.097 0.379 0.382 44.210830 0.0094 0.083251 0.001159 0.830 0.000 262.853 0.058 21.870 0.094 35037.414 15.270 8.207 4.429 2457273.90090 2.67 K15RR9R +cla m -1 -1 S o5t38 24.62 0.137 r 8.12 43.635 0.002 31 1.4748 0.067 0.052 0.301 0.159 45.354067 0.0143 0.066792 0.002218 1.457 0.001 331.948 0.030 339.855 1.122 41081.445 265.582 9.766 5.213 2457273.91317 2.63 K15RS0J +cla m -1 -1 S o5t39 24.67 0.157 r 8.18 43.756 0.001 46 1.6035 0.094 0.087 0.361 0.295 45.492119 0.0111 0.062713 0.001912 0.531 0.001 17.399 0.018 44.536 1.237 72726.821 308.995 6.460 2.681 2457273.88448 2.76 K15RR9O +cla m -1 -1 S o5t40 24.59 0.130 r 7.89 45.849 0.001 36 2.5016 0.060 0.058 0.170 0.155 44.165219 0.0030 0.039113 0.000283 0.717 0.000 297.849 0.070 238.668 1.682 106871.661 500.120 8.344 4.353 2457273.90090 2.58 K15RR9S +cla m -1 -1 S o5t41 24.40 0.104 r 7.68 45.945 0.001 30 2.5016 0.069 0.074 0.308 0.189 44.310073 0.0040 0.043379 0.000576 0.997 0.001 0.222 0.010 220.390 1.366 13325.614 408.959 9.761 4.395 2457273.90906 2.52 K15RS0E +res N 3 2 S o5t42 23.71 0.064 r 7.00 45.989 0.001 35 17.2432 0.082 0.089 0.203 0.188 39.456500 0.0024 0.203719 0.000052 1.588 0.000 238.322 0.004 338.347 0.013 22705.537 3.652 6.720 4.275 2457273.88855 2.65 K00QO3A +cla m -1 -1 S o5t43 24.03 0.080 r 7.28 46.311 0.002 28 2.5016 0.043 0.053 0.142 0.142 44.648511 0.0196 0.108996 0.001846 1.491 0.001 13.183 0.002 241.095 0.496 25781.206 162.600 9.741 4.105 2457273.90906 2.53 K15RS0D +cla m -1 -1 S o5t44 24.48 0.160 r 7.72 46.375 0.001 37 2.4442 0.067 0.066 0.220 0.176 43.559724 0.0036 0.070802 0.000405 3.566 0.001 353.443 0.004 218.758 0.824 12311.498 240.257 8.976 4.978 2457273.90498 2.52 K15RR9Z +cla m -1 -1 I o5t45 24.77 0.177 r 7.98 46.908 0.001 53 2.4441 0.106 0.091 0.471 0.354 44.106759 0.0029 0.064040 0.000237 0.156 0.001 9.007 0.015 169.847 1.534 108397.523 454.850 5.725 2.467 2457273.87633 2.55 K15RR9M +res N 3 2 S o5t46 24.13 0.110 r 7.33 47.056 0.002 47 2.5017 0.062 0.055 0.249 0.206 39.385171 0.0184 0.241353 0.000918 8.001 0.001 8.335 0.000 206.048 0.407 23282.372 104.941 5.820 2.112 2457273.87633 2.67 K15RR7R +res N 2 1 S o5t47 24.37 0.245 r 7.49 47.811 0.002 24 2.1929 0.067 0.062 0.164 0.223 47.642393 0.0293 0.206288 0.001456 0.073 0.001 72.562 0.947 38.225 0.951 83669.357 53.244 7.738 3.268 2457273.89268 2.44 K15RR7X +res N 5 3 S o5t48 24.59 0.525 r 7.63 48.741 0.002 31 2.5018 0.058 0.085 0.134 0.215 42.182535 0.0032 0.156181 0.000110 5.209 0.001 358.367 0.002 193.456 0.541 9031.891 148.395 6.618 3.741 2457273.88855 2.48 K15RR8J +cla m -1 -1 S o5t49 24.34 0.095 r 7.34 49.086 0.002 34 2.5016 0.064 0.055 0.174 0.146 44.850951 0.0034 0.095994 0.000195 1.968 0.001 353.231 0.009 205.988 0.763 5916.475 231.510 9.220 4.595 2457273.90906 2.43 K15RS0A +sca x -1 -1 I o5t50 24.32 0.130 r 7.12 51.422 0.002 35 2.2503 0.095 0.084 0.541 0.358 59.872018 0.1850 0.688095 0.001195 30.267 0.002 189.651 0.000 304.002 0.064 75863.668 27.419 9.083 4.037 2457273.90090 2.38 K15RR9A +det x -1 -1 IH o5t51 23.81 0.064 r 6.58 51.825 0.002 37 2.5016 0.053 0.038 0.184 0.128 59.830006 0.0944 0.424769 0.001520 13.851 0.001 9.393 0.000 263.196 0.030 34495.968 37.390 9.447 4.197 2457273.90906 2.29 K15RR9G +sca x -1 -1 I o5t52 24.13 0.118 r 6.10 62.394 0.002 37 2.5016 0.067 0.052 0.186 0.263 426.017995 9.4058 0.893106 0.002502 12.138 0.001 8.605 0.000 65.139 0.079 75605.858 7.811 8.613 3.817 2457273.90090 1.88 K15RO5X +res N 5 2 I o5t53 24.97 0.183 r 6.89 63.280 0.003 31 2.4170 0.135 0.105 0.299 0.369 55.483721 0.0984 0.385306 0.001970 5.038 0.002 191.137 0.002 305.810 0.250 95335.611 165.180 5.484 2.887 2457273.87633 1.98 K15RR8H +res N 3 1 I o5t54 24.94 0.182 r 6.58 67.478 0.003 27 2.5017 0.095 0.110 0.437 0.457 62.239671 0.1984 0.444722 0.002837 5.827 0.002 194.181 0.003 45.776 0.272 19491.230 289.950 5.248 3.214 2457273.88042 1.84 K15RR7Z +cla m -1 -1 S o5t58 24.63 0.130 r 7.80 47.109 0.002 24 1.4748 0.073 0.102 0.240 0.321 45.404657 0.0146 0.062657 0.002276 23.820 0.002 7.868 0.000 233.651 1.781 18832.640 559.019 9.949 5.746 2457274.01862 2.44 K15RS0K diff --git a/src/ossssim/Characterizations/Deep_Surveys/Deep_Surveys_v11.detections b/src/ossssim/Characterizations/Deep_Surveys/Deep_Surveys_v11.detections new file mode 100644 index 0000000..8b26e39 --- /dev/null +++ b/src/ossssim/Characterizations/Deep_Surveys/Deep_Surveys_v11.detections @@ -0,0 +1,610 @@ +# File: Deep_Surveys_v11.detections +# +# cl p j k sh object mag e_mag Filt Hsur dist e_dist Nobs time av_xres av_yres max_x max_y a e_a e e_e i e_i Omega e_Omega omega e_omega tperi e_tperi RAdeg DEdeg JD rate MPC +cen x -1 -1 S o5c001 23.72 0.180 r 11.75 15.857 0.000 22 1.3710 0.071 0.066 0.215 0.165 28.529148 0.0070 0.457113 0.000188 36.539 0.000 227.107 0.000 159.553 0.043 56177.744 2.067 46.727 16.366 2457332.79151 7.89 K15VG4E +sca x -1 -1 S o5c002 23.74 0.077 r 11.18 17.958 0.000 22 2.0861 0.092 0.043 0.205 0.100 33.556533 0.0048 0.524845 0.000085 15.414 0.000 51.640 0.000 313.637 0.008 54631.750 0.287 50.911 18.958 2457332.80734 6.60 K15VG7Z +res N 3 2 S o5c003 24.09 0.135 r 9.87 26.318 0.001 29 1.4394 0.091 0.101 0.284 0.254 39.267439 0.0040 0.329848 0.000060 16.873 0.001 230.182 0.000 183.254 0.210 57541.443 24.917 49.640 17.817 2457332.83360 4.66 K15VG4X +res N 3 2 S o5c004 22.89 0.063 r 8.48 27.660 0.001 33 1.4611 0.046 0.062 0.114 0.096 39.536406 0.0035 0.301455 0.000096 14.162 0.001 58.156 0.000 356.300 0.190 58178.245 24.475 46.675 14.815 2457332.79678 4.49 K15VG4O +res N 1 1 S o5c005 23.41 0.060 r 8.83 28.750 0.000 36 2.3484 0.055 0.043 0.220 0.132 30.120434 0.0019 0.085902 0.000229 16.855 0.000 225.146 0.000 245.625 0.088 66355.988 10.418 46.349 16.377 2457332.79151 4.44 K15VG5V +res N 3 2 S o5c006 24.44 0.131 r 9.71 29.744 0.000 51 3.0803 0.077 0.067 0.150 0.134 39.238241 0.0025 0.252464 0.000066 18.286 0.000 54.153 0.000 332.491 0.034 54227.103 4.682 46.611 15.421 2457332.79678 4.25 K15VG4M +res N 4 3 S o5c007 24.37 0.130 r 9.63 29.841 0.001 25 2.2747 0.072 0.041 0.138 0.150 36.388166 0.0039 0.207333 0.000241 4.350 0.000 198.771 0.003 172.757 0.091 52014.949 11.763 46.136 15.083 2457332.79678 4.21 K15VG7M +res N 3 2 S o5c008 24.34 0.143 r 9.53 30.012 0.002 21 1.2266 0.099 0.068 0.243 0.232 39.582560 0.0114 0.244865 0.000440 15.036 0.001 55.616 0.000 9.478 0.509 59071.907 75.124 51.610 18.159 2457332.81257 4.06 K15VG4Q +res N 1 1 S o5c009 22.82 0.035 r 8.03 30.196 0.001 35 2.3483 0.076 0.032 0.141 0.103 30.101883 0.0021 0.051140 0.000369 4.998 0.000 78.925 0.003 65.144 0.059 72500.886 11.404 46.200 14.587 2457332.79678 4.24 K15VG5W +res N 3 2 S o5c010 24.59 0.169 r 9.78 30.297 0.000 31 3.0800 0.080 0.081 0.251 0.285 39.321659 0.0033 0.237722 0.000096 11.599 0.000 220.435 0.000 169.071 0.055 54443.219 7.994 46.729 15.744 2457332.79151 4.12 K15VG4L +res N 3 2 S o5c011 24.20 0.380 r 9.36 30.521 0.000 40 2.8481 0.044 0.044 0.193 0.122 39.216538 0.0036 0.246837 0.000108 1.967 0.000 186.017 0.008 255.651 0.034 62276.235 4.494 46.588 16.055 2457332.79151 4.12 K15VG4K +res N 3 2 S o5c012 22.95 0.037 r 7.98 31.189 0.001 28 2.0919 0.076 0.050 0.298 0.115 39.267277 0.0041 0.206164 0.000068 1.655 0.000 100.155 0.017 317.463 0.140 58071.189 22.270 51.292 17.399 2457332.81779 3.97 K15VG4R +res N 4 3 S o5c013 24.34 0.120 r 9.39 31.311 0.001 20 1.4611 0.080 0.057 0.243 0.291 36.466391 0.0067 0.145788 0.000486 10.615 0.001 49.813 0.000 14.682 0.676 60035.741 110.362 45.958 16.978 2457332.78626 3.98 K15VG7L +res N 2 1 S o5c014 23.61 0.073 r 8.51 32.161 0.000 38 2.0919 0.051 0.045 0.215 0.151 47.646715 0.0045 0.326628 0.000067 1.045 0.000 104.076 0.024 316.308 0.080 58613.434 12.041 50.505 17.624 2457332.83360 3.81 K15VG6B +res N 3 2 S o5c015 24.64 0.204 r 9.54 32.194 0.001 31 2.3158 0.079 0.098 0.418 0.337 39.363854 0.0048 0.184635 0.000199 1.285 0.000 166.323 0.030 233.913 0.237 55405.619 39.384 49.752 17.065 2457332.83360 3.90 K15VG4Y +res N 2 1 S o5c016 22.97 0.037 r 7.88 32.284 0.001 30 2.1110 0.045 0.050 0.146 0.076 47.689405 0.0152 0.368111 0.000351 4.115 0.000 102.452 0.007 264.024 0.058 51142.036 6.443 46.411 13.828 2457332.80199 3.88 K15VG5Z +res N 1 1 S o5c017 23.98 0.085 r 8.85 32.335 0.001 27 1.4395 0.101 0.072 0.246 0.210 30.073481 0.0019 0.075217 0.000051 17.140 0.001 226.745 0.000 7.826 1.013 27533.963 168.941 51.147 16.691 2457332.81779 3.94 K15VG5X +res N 3 2 S o5c018 24.16 0.112 r 8.96 32.874 0.001 29 2.0919 0.076 0.082 0.269 0.196 39.221221 0.0094 0.252752 0.000424 5.296 0.001 223.628 0.001 126.773 0.048 47603.021 3.318 50.960 17.707 2457332.81257 3.83 K15VG4P +res N 3 2 S o5c019 24.34 0.130 r 9.15 32.927 0.000 38 2.8482 0.078 0.038 0.216 0.163 39.629024 0.0037 0.204044 0.000160 2.647 0.000 119.189 0.010 250.508 0.054 50380.397 7.682 49.462 15.613 2457332.84408 3.77 K15VG5B +res N 3 2 S o5c020 24.67 0.200 r 9.46 33.057 0.001 25 2.2662 0.163 0.115 0.356 0.234 39.617351 0.0129 0.281934 0.000500 14.167 0.001 225.016 0.000 118.184 0.036 46976.674 1.213 49.820 16.579 2457332.83883 3.92 K15VG5A +res N 5 2 S o5c021 24.53 0.154 r 9.18 34.060 0.001 30 2.2663 0.071 0.081 0.219 0.364 55.286757 0.0072 0.386227 0.000089 29.716 0.001 56.472 0.000 3.686 0.082 58931.508 13.855 50.136 15.409 2457332.84408 3.83 K15VG7E +sca x -1 -1 SH o5c022 23.68 0.078 r 8.30 34.284 0.001 29 2.0919 0.057 0.139 0.254 0.382 71.896589 0.0236 0.528610 0.000202 5.612 0.001 61.686 0.001 336.474 0.066 54921.147 10.278 51.116 17.744 2457332.81257 3.56 K15VG8A +res N 3 2 S o5c023 23.40 0.057 r 7.98 34.655 0.001 33 2.3158 0.072 0.042 0.194 0.145 39.431548 0.0111 0.159176 0.000713 1.382 0.001 197.573 0.017 167.166 0.215 48663.916 32.860 49.547 17.437 2457332.83360 3.66 K15VG4W +res N 3 2 S o5c024 24.07 0.105 r 8.58 35.147 0.001 26 1.4395 0.051 0.046 0.117 0.097 39.360089 0.0172 0.154283 0.001495 20.722 0.001 228.750 0.000 237.446 0.455 67274.084 68.752 51.396 16.987 2457332.81779 3.68 K15VG4S +res N 2 1 S o5c025 24.30 0.132 r 8.81 35.169 0.001 27 2.0919 0.079 0.066 0.270 0.184 47.760891 0.0319 0.418284 0.000628 13.153 0.001 51.495 0.000 288.670 0.022 46515.086 3.095 51.172 19.131 2457332.80734 3.66 K15VG6A +res N 3 2 S o5c026 24.74 0.211 r 9.22 35.431 0.001 26 1.4395 0.110 0.100 0.363 0.472 39.287251 0.0420 0.261024 0.001846 7.034 0.001 76.523 0.004 253.461 0.042 43835.660 18.340 51.463 15.719 2457332.82308 3.67 K15VG4T +res N 3 2 S o5c027 24.05 0.103 r 8.47 35.901 0.001 26 1.9494 0.071 0.067 0.196 0.296 39.436414 0.0112 0.219014 0.000596 1.754 0.001 208.557 0.013 281.846 0.046 70988.986 3.049 50.514 17.745 2457332.83360 3.60 K15VG4Z +res N 3 2 S o5c028 24.12 0.100 r 8.50 36.288 0.001 27 2.3158 0.054 0.055 0.142 0.275 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0.013 22705.537 3.652 6.720 4.275 2457273.88855 2.65 K00QO3A +cla m -1 -1 S o5t43 24.03 0.080 r 7.28 46.311 0.002 28 2.5016 0.043 0.053 0.142 0.142 44.648511 0.0196 0.108996 0.001846 1.491 0.001 13.183 0.002 241.095 0.496 25781.206 162.600 9.741 4.105 2457273.90906 2.53 K15RS0D +cla m -1 -1 S o5t44 24.48 0.160 r 7.72 46.375 0.001 37 2.4442 0.067 0.066 0.220 0.176 43.559724 0.0036 0.070802 0.000405 3.566 0.001 353.443 0.004 218.758 0.824 12311.498 240.257 8.976 4.978 2457273.90498 2.52 K15RR9Z +cla m -1 -1 I o5t45 24.77 0.177 r 7.98 46.908 0.001 53 2.4441 0.106 0.091 0.471 0.354 44.106759 0.0029 0.064040 0.000237 0.156 0.001 9.007 0.015 169.847 1.534 108397.523 454.850 5.725 2.467 2457273.87633 2.55 K15RR9M +res N 3 2 S o5t46 24.13 0.110 r 7.33 47.056 0.002 47 2.5017 0.062 0.055 0.249 0.206 39.385171 0.0184 0.241353 0.000918 8.001 0.001 8.335 0.000 206.048 0.407 23282.372 104.941 5.820 2.112 2457273.87633 2.67 K15RR7R +res N 2 1 S o5t47 24.37 0.245 r 7.49 47.811 0.002 24 2.1929 0.067 0.062 0.164 0.223 47.642393 0.0293 0.206288 0.001456 0.073 0.001 72.562 0.947 38.225 0.951 83669.357 53.244 7.738 3.268 2457273.89268 2.44 K15RR7X +res N 5 3 S o5t48 24.59 0.525 r 7.63 48.741 0.002 31 2.5018 0.058 0.085 0.134 0.215 42.182535 0.0032 0.156181 0.000110 5.209 0.001 358.367 0.002 193.456 0.541 9031.891 148.395 6.618 3.741 2457273.88855 2.48 K15RR8J +cla m -1 -1 S o5t49 24.34 0.095 r 7.34 49.086 0.002 34 2.5016 0.064 0.055 0.174 0.146 44.850951 0.0034 0.095994 0.000195 1.968 0.001 353.231 0.009 205.988 0.763 5916.475 231.510 9.220 4.595 2457273.90906 2.43 K15RS0A +sca x -1 -1 I o5t50 24.32 0.130 r 7.12 51.422 0.002 35 2.2503 0.095 0.084 0.541 0.358 59.872018 0.1850 0.688095 0.001195 30.267 0.002 189.651 0.000 304.002 0.064 75863.668 27.419 9.083 4.037 2457273.90090 2.38 K15RR9A +det x -1 -1 IH o5t51 23.81 0.064 r 6.58 51.825 0.002 37 2.5016 0.053 0.038 0.184 0.128 59.830006 0.0944 0.424769 0.001520 13.851 0.001 9.393 0.000 263.196 0.030 34495.968 37.390 9.447 4.197 2457273.90906 2.29 K15RR9G +sca x -1 -1 I o5t52 24.13 0.118 r 6.10 62.394 0.002 37 2.5016 0.067 0.052 0.186 0.263 426.017995 9.4058 0.893106 0.002502 12.138 0.001 8.605 0.000 65.139 0.079 75605.858 7.811 8.613 3.817 2457273.90090 1.88 K15RO5X +res N 5 2 I o5t53 24.97 0.183 r 6.89 63.280 0.003 31 2.4170 0.135 0.105 0.299 0.369 55.483721 0.0984 0.385306 0.001970 5.038 0.002 191.137 0.002 305.810 0.250 95335.611 165.180 5.484 2.887 2457273.87633 1.98 K15RR8H +res N 3 1 I o5t54 24.94 0.182 r 6.58 67.478 0.003 27 2.5017 0.095 0.110 0.437 0.457 62.239671 0.1984 0.444722 0.002837 5.827 0.002 194.181 0.003 45.776 0.272 19491.230 289.950 5.248 3.214 2457273.88042 1.84 K15RR7Z +cla m -1 -1 S o5t58 24.63 0.130 r 7.80 47.109 0.002 24 1.4748 0.073 0.102 0.240 0.321 45.404657 0.0146 0.062657 0.002276 23.820 0.002 7.868 0.000 233.651 1.781 18832.640 559.019 9.949 5.746 2457274.01862 2.44 K15RS0K diff --git a/src/ossssim/Characterizations/Deep_Surveys/README.deepsurveys b/src/ossssim/Characterizations/Deep_Surveys/README.deepsurveys new file mode 100644 index 0000000..31a9c31 --- /dev/null +++ b/src/ossssim/Characterizations/Deep_Surveys/README.deepsurveys @@ -0,0 +1,36 @@ + +README.deepsurveys + +COMBINED SURVEY ANALYSIS + +This subdir contains the 2015 OSSOS survey. + +This subdir provides a sample that avoids the problem of multiple bands at +detections mentioned in All_Surveys. This is done at the expense of dropping +most of CFEPS objects, only keeping L3h objects, and cnosequantly decreasing +the surveyed area. But the avoids the complication of having to deal with +magnitudes in different bands and the effect of unknown colors. + +-------------------------------------------------------------------------------- + +This directory contains the pointing history, efficiency functions for each +block, and the list of detected objects, in two files for all surveys +(All_r_Surveys.detections and All_r_Surveys.CDS). + +The content of this directory is: + +Deep_Surveys + \---- README.deepsurveys (this file) Describes content of the directory + \--------- README.format Describes format of a survey "block" + \-------- pointings.list List of pointings and times of the + | survey, often grouped into chunks. + \--- 2015Sn.eff Efficiency functions for 2015 OSSOS + | blocks, where S (a single letter) gives + | the semester, and n the block name + | (eg, P, M, S, T, D, C) + \- Deep_Surveys_v11.detections List of objects really detected in + 2015 OSSOS, with their dynamical class + if known, magnitude at detection, rate + of motion, H mag, and more. + +-------------------------------------------------------------------------------- diff --git a/src/ossssim/Characterizations/Deep_Surveys/Template.eff b/src/ossssim/Characterizations/Deep_Surveys/Template.eff new file mode 100644 index 0000000..19a6d58 --- /dev/null +++ b/src/ossssim/Characterizations/Deep_Surveys/Template.eff @@ -0,0 +1,121 @@ +# This is a sample efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value +# (see below). +# +# Although it is not mendatory, we can try to group the parameters logically. +# +# First define the rate cut used for detection with a line +# "rate_cut= " +# +# : Lower rate cut (" arc/hour) +# : Upper rate cut (" arc/hour) +# : Mean direction of motion (degrees from due West) +# : Half-width of direction cone (degrees) +# +rate_cut= 0.50 5.38 -21.050 15.62 +# +# Second define the magnitude error. +# First 4 parameters define the growth of the uncertainty: +# - alpha = log10(mag_er(2)/mag_er(1))/(mag_er(3)-21) +# - for mag < mag_er(3), mag_er(1)*10.**(alpha*(mag - 21)) +# - for mag > mag_er(3), mag_er(1)*10.**(alpha*(mag_er(3) - 21)) +# - (mag - mag_er(3))*mag_er(4) +# The last 2 parameters determine the asymmetry of the error +# - for mag < mag_er(5), center = 0. +# - for mag > mag_er(5), center = (mag - mag_er(5))*mag_er(6) +# +mag_error= 0.013 0.17 24.9 0.5 24.2 -0.2 +# +# Define the fraction of objects with 1, 2 or 3 photometric measurements use to +# determine the official magnitude +# : fraction of objects with only 1 measurement +# : fraction of objects with 2 measurements +# : fraction of objects with 3 measurements +# +phot_frac= 0.033 0.117 0.850 +# +# Now define the tracking fraction as a function of magnitude +# The fraction of objects tracked = min(track_max, +# 1 + (mag - track_mag)*track_slope) +# For the presurvey the drop is at 23.8 to 0 instantly.... +# +# BEWARE: this needs to be modified together with the limiting magnitude if one +# wants to simulate a deeper survey. +# +track_frac= 1.0 25.35 -5.00 +# +# The survey simulator (SSim) has the ability to deal with magnitudes in +# various band filters, so we define the filter used for that particular +# pointing. +# Here the filter is given by a letter, but will be translated into an integer +# in the SSim in order to access the correct magnitude of the object that is +# passed as an array. Correspondance table: +# g -> 1 +# r -> 2 +# i -> 3 +# z -> 4 +# u -> 5 +# B -> 6 +# V -> 7 +# R -> 8 +# I -> 9 +# +filter= r +# +# Here things become tricky. We first define the rate range the following +# efficiency is defined for. +# +# Rate range is defined as "rates= " +# +rates= 0.50 2.06 +# +# Now we define the type of functional form used to define the efficiency by +# "function= ", where is: +# +# : single hyperbolic tangent +# : double hyperbolic tangent +# : piecewise linear function +# : (eff_max-c*(m-21)**2)/(1+exp((m-M_0)/sig)) +# : a look-up table +# +# Parameters are then given by "= [ [...]]". +# More specifically, we have: +# +# "linear_param= " +# "single_param= " +# "double_param= " +# "square_param= " +# +# For the look-up table, there will be as many lines as entries in the look-up +# table: +# "lookup_param= " +# "lookup_param= " +# "..." +# +# : magnitude of the center of the bin +# : efficiency for that magnitude, in range [0, 1] +# +# All "lookup_param= ..." lines must be consecutive, not even a comment line in +# between. The list ends up at the first non-"lookup_param= ..." line. +# +# All the "func_typ_param= ..." lines must be the first non-comment lines after +# the "function= ..." line. +# +function= double +# +double_param= 0.93086964 24.734407 0.69756073 0.22470799 +# +rates= 2.06 3.72 +function= double +double_param= 0.88791895 24.727974 0.65072048 0.24242181 +# +rates= 3.72 5.38 +function= double +double_param= 0.87152964 24.704845 0.28593567 0.58923745 +# +# Limiting magnitude of the block +mag_lim= 24.04 diff --git a/src/ossssim/Characterizations/Deep_Surveys/pointings-area.list b/src/ossssim/Characterizations/Deep_Surveys/pointings-area.list new file mode 100644 index 0000000..cac195b --- /dev/null +++ b/src/ossssim/Characterizations/Deep_Surveys/pointings-area.list @@ -0,0 +1,253 @@ +# This is the OSSOS survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# For Megaprime, the 36 CCDs are 2048x4612 with pixels 0.18689x0.18689", so +# assuming a total footprint of 1 sq.deg, the filling factor is 0.9164 +# +# 2015A-P block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 2 out of 800 chips failed, so effective area is +# 798/800 = 0.9975 = 99.75% of the total area, so filling factor becomes +# 0.99875*0.9297 = 0.9274. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994446 so the factor is 1./1.005554 +# So the filling factor is 0.9975*0.9297/1.005554 = 0.9223. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*798/1.005554 = 19.89139 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.89139/21.6544 = 0.9186 +# +21.65 13:30:22.11 -07:47:23.0 2457125.86971 0.9186 500 2015AP.eff +# +# 2015A-M block +# +# This is a block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, 0 out of 800 chips failed, so effective area is +# 800/800 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994672 so the factor is 1./1.005328 +# So the filling factor is 1.0*0.9297/1.005328 = 0.9248. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*800/1.005328 = 19.94573 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.94573/21.6544 = 0.9211 +# +21.65 15:34:41.30 -12:08:36.0 2457163.81831 0.9211 500 2015AM.eff +# +# 2015B-S block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995995 so the factor is 1./1.004005 +# So the filling factor is 1.0*0.9297/1.004005 = 0.92599. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004005 = 9.98601 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98601/10.8272 = 0.9223 +# +10.83 00:30:08.35 +06:00:09.5 2457274.92965 0.9223 500 2015BS.eff +# +# 2015B-T block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995991 so the factor is 1./1.004009 +# So the filling factor is 1.0*0.9297/1.004009 = 0.9260. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004009 = 9.98597 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98597/10.8272 = 0.9223 +# +10.83 00:30:08.35 +04:02:04.5 2457273.92965 0.9223 500 2015BT.eff +# +# 2015B-D block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 320 chips failed, so effective area is +# 320/320 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994686 so the factor is 1./1.005314 +# So the filling factor is 1.0*0.9297/1.005314 = 0.92479. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*320/1.005314 = 7.97840 +# sq.deg. +# +# In the following, the total surface area is 2*1.0887916*(2.3866217+1.5910813) +# = 8.66178 sq.deg. So the final filling factor is effective area / total +# surface area = 7.97840/8.66178 = 0.9211 +# +#poly 4 03:08:30.88 +15:46:36.6 2457333.85377 0.9211 500 2015BD.eff +8.66 03:12:58.36 +16:16:06.4 2457333.85377 0.9211 500 2015BD.eff +# +# 2015B-C block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 480 chips failed, so effective area is +# 480/480 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995172 so the factor is 1./1.004828 +# So the filling factor is 1.0*0.9297/1.004828 = 0.92523. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*480/1.004828 = 11.97339 +# sq.deg. +# +# In the following, the total surface area is 2*1.6331874*(2.5855068+1.3921962) +# = 12.99267 sq.deg. So the final filling factor is effective area / total +# surface area = 11.97339/12.99267 = 0.9215 +# +12.99 03:19:52.10 +17:00:44.9 2457332.83884 0.9215 500 2015BC.eff diff --git a/src/ossssim/Characterizations/Deep_Surveys/pointings.list b/src/ossssim/Characterizations/Deep_Surveys/pointings.list new file mode 100644 index 0000000..5119710 --- /dev/null +++ b/src/ossssim/Characterizations/Deep_Surveys/pointings.list @@ -0,0 +1,287 @@ +# This is the OSSOS survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# For Megaprime, the 36 CCDs are 2048x4612 with pixels 0.18689x0.18689", so +# assuming a total footprint of 1 sq.deg, the filling factor is 0.9164 +# +# 2015A-P block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 2 out of 800 chips failed, so effective area is +# 798/800 = 0.9975 = 99.75% of the total area, so filling factor becomes +# 0.99875*0.9297 = 0.9274. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994446 so the factor is 1./1.005554 +# So the filling factor is 0.9975*0.9297/1.005554 = 0.9223. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*798/1.005554 = 19.89139 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.89139/21.6544 = 0.9186 +# +poly 4 13:30:22.11 -07:47:23.0 2457125.86971 0.9186 500 2015AP.eff +-2.721979 -0.994426 +-2.721979 2.983277 + 2.721979 0.994426 + 2.721979 -2.983277 +# +# 2015A-M block +# +# This is a block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, 0 out of 800 chips failed, so effective area is +# 800/800 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994672 so the factor is 1./1.005328 +# So the filling factor is 1.0*0.9297/1.005328 = 0.9248. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*800/1.005328 = 19.94573 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.94573/21.6544 = 0.9211 +# +poly 4 15:34:41.30 -12:08:36.0 2457163.81831 0.9211 500 2015AM.eff +-2.721979 -0.994426 +-2.721979 2.983277 + 2.721979 0.994426 + 2.721979 -2.983277 +# +# 2015B-S block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995995 so the factor is 1./1.004005 +# So the filling factor is 1.0*0.9297/1.004005 = 0.92599. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004005 = 9.98601 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98601/10.8272 = 0.9223 +# +poly 4 00:30:08.35 +06:00:09.5 2457274.92965 0.9223 500 2015BS.eff +-2.721979 -1.98885125 +-2.721979 0. + 2.721979 1.98885125 + 2.721979 -0. +# +# 2015B-T block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995991 so the factor is 1./1.004009 +# So the filling factor is 1.0*0.9297/1.004009 = 0.9260. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004009 = 9.98597 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98597/10.8272 = 0.9223 +# +poly 4 00:30:08.35 +04:02:04.5 2457273.92965 0.9223 500 2015BT.eff +-2.721979 -1.98885125 +-2.721979 0. + 2.721979 1.98885125 + 2.721979 -0. +# +# 2015B-D block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 320 chips failed, so effective area is +# 320/320 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994686 so the factor is 1./1.005314 +# So the filling factor is 1.0*0.9297/1.005314 = 0.92479. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*320/1.005314 = 7.97840 +# sq.deg. +# +# In the following, the total surface area is 2*1.0887916*(2.3866217+1.5910813) +# = 8.66178 sq.deg. So the final filling factor is effective area / total +# surface area = 7.97840/8.66178 = 0.9211 +# +#poly 4 03:08:30.88 +15:46:36.6 2457333.85377 0.9211 500 2015BD.eff +poly 4 03:12:58.36 +16:16:06.4 2457333.85377 0.9211 500 2015BD.eff +-1.0887916 -2.3866217 +-1.0887916 1.5910813 + 1.0887916 2.3866217 + 1.0887916 -1.5910813 +# +# 2015B-C block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 480 chips failed, so effective area is +# 480/480 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995172 so the factor is 1./1.004828 +# So the filling factor is 1.0*0.9297/1.004828 = 0.92523. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*480/1.004828 = 11.97339 +# sq.deg. +# +# In the following, the total surface area is 2*1.6331874*(2.5855068+1.3921962) +# = 12.99267 sq.deg. So the final filling factor is effective area / total +# surface area = 11.97339/12.99267 = 0.9215 +# +#poly 4 03:19:52.10 +17:00:44.9 2457332.83884 0.9215 500 2015BC.eff +#-1.6331874 -2.5855068 +#-1.6331874 1.3921962 +# 1.6331874 2.5855068 +# 1.6331874 -1.3921962 +poly 4 03:22:09.15 +17:15:44.0 2457332.83884 0.9215 500 2015BC.eff +-1.0887916 -2.3866217 +-1.0887916 1.5910813 + 1.0887916 2.3866217 + 1.0887916 -1.5910813 +poly 4 03:06:18.32 +15:31:56.3 2457332.83884 0.9215 500 2015BC.eff +-0.5443958 -2.1877366 +-0.5443958 1.7899664 + 0.5443958 2.1877366 + 0.5443958 -1.7899664 diff --git a/src/ossssim/Characterizations/OSSOS-MA/2013AE.eff b/src/ossssim/Characterizations/OSSOS-MA/2013AE.eff new file mode 100644 index 0000000..b9d8feb --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/2013AE.eff @@ -0,0 +1,56 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 15.00 20.00 30.00 +# +mag_error= 0.06 0.38 24.7 0.6 23.7 -0.5 +# +phot_frac= 0.04 0.06 0.90 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +# As of 2015-08-07, we realised that measured magnitudes had changed for E +# block, in particular due to change in zeropoint when going from level 1 +# to level 3. The new zeropoint are on average 0.02 mag larger than before. +# Hence the magnitude term in the square_param lines below have been +# offset by that amount (the old values are kept in comments). +rates= 0.50 8.00 +function= square +square_param= 0.887741923 2.76305359E-02 24.1423416 0.153656587 +# Goodness of fit (reduced chi^2): 0.669 +# +# Limiting magnitude of the block +# Initial value of characterizatin limit was determined to insure 100% tracking +# efficiency, at a detection efficiency above 40% +#mag_lim= 24.05 +# We can now push the characterization limit to 40% efficiency and loose only +# o3e33, assuming we keep only the 3rd image measurement for o3e15. +mag_lim= 24.09 +# +rates= 8.00 11.00 +function= square +square_param= 0.895575285 2.31122747E-02 24.0048294 0.157101125 +# Goodness of fit (reduced chi^2): 0.470 +# +# Limiting magnitude of the block +#mag_lim= 23.95 +mag_lim= 23.85 +# +rates= 11.00 15.00 +function= square +square_param= 0.865791440 2.12179236E-02 23.8810692 0.155520618 +# Goodness of fit (reduced chi^2): 0.501 +# +# Limiting magnitude of the block +#mag_lim= 23.83 +mag_lim= 23.73 +# diff --git a/src/ossssim/Characterizations/OSSOS-MA/2013AO.eff b/src/ossssim/Characterizations/OSSOS-MA/2013AO.eff new file mode 100644 index 0000000..1671b0b --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/2013AO.eff @@ -0,0 +1,48 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 15.00 20.00 30.00 +# +mag_error= 0.06 0.30 25.1 0.6 24.4 -0.5 +# +phot_frac= 0.00 0.222 0.778 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +rates= 0.50 7.00 +function= square +square_param= 0.841375411 2.05407962E-02 24.5497284 0.110739127 +# Goodness of fit (reduced chi^2): 5.478 +# +# Limiting magnitude of the block +#mag_lim= 24.46 +mag_lim= 24.40 +# +# +rates= 7.00 10.00 +function= square +square_param= 0.877626657 1.88417193E-02 24.4186745 0.121682763 +# Goodness of fit (reduced chi^2): 1.396 +# +# Limiting magnitude of the block +#mag_lim= 24.36 +mag_lim= 24.26 +# +rates= 10.00 15.00 +function= square +square_param= 0.863873243 1.87772699E-02 24.2575226 0.145261303 +# Goodness of fit (reduced chi^2): 0.818 +# +# Limiting magnitude of the block +#mag_lim= 24.20 +mag_lim= 24.10 +# diff --git a/src/ossssim/Characterizations/OSSOS-MA/2013BL.eff b/src/ossssim/Characterizations/OSSOS-MA/2013BL.eff new file mode 100644 index 0000000..c6605cc --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/2013BL.eff @@ -0,0 +1,55 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 15.00 -23.00 30.00 +# +mag_error= 0.03 0.11 23.5 -0.12 24.5 -0.6 +# +phot_frac= 0.013 0.152 0.835 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +rates= 0.50 2.50 +function= square +square_param= 0.852392793 1.68104991E-02 24.5213051 0.148857504 +# Goodness of fit (reduced chi^2): 1.086 +# +# Limiting magnitude of the block +mag_lim= 24.45 +# +rates= 2.50 8.00 +function= square +square_param= 0.888259053 1.33343311E-02 24.4792595 0.145277739 +# Goodness of fit (reduced chi^2): 2.910 +# +# Limiting magnitude of the block +#mag_lim= 24.45 +mag_lim= 24.46 +# +rates= 8.00 12.00 +function= square +square_param= 0.884100020 9.23251361E-03 24.3310623 0.160950899 +# Goodness of fit (reduced chi^2): 0.689 +# +# Limiting magnitude of the block +#mag_lim= 24.32 +mag_lim= 24.22 +# +rates= 12.00 15.00 +function= square +square_param= 0.868348002 1.05533712E-02 24.2242832 0.154411465 +# Goodness of fit (reduced chi^2): 0.761 +# +# Limiting magnitude of the block +#mag_lim= 24.20 +mag_lim= 24.10 +# diff --git a/src/ossssim/Characterizations/OSSOS-MA/2014BH.eff b/src/ossssim/Characterizations/OSSOS-MA/2014BH.eff new file mode 100644 index 0000000..107629f --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/2014BH.eff @@ -0,0 +1,72 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.06 0.24 24.6 -0.01 24.4 -0.6 +# +phot_frac= 0.090 0.179 0.731 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.935312152 8.83434433E-03 24.6528168 0.176062375 +# Goodness of fit (reduced chi^2): 0.749 +# +# Limiting magnitude of the block +mag_lim= 24.66 +# +rates= 2.00 6.00 +function= double +double_param= 0.902244687 24.7926483 0.285338759 0.769840360 +# Goodness of fit (reduced chi^2): 0.833 +# +# Limiting magnitude of the block +#mag_lim= 24.64 +mag_lim= 24.67 +# +rates= 6.00 8.00 +function= square +square_param= 0.899700284 1.00836307E-02 24.5681419 0.171323597 +# Goodness of fit (reduced chi^2): 0.600 +# +# Limiting magnitude of the block +mag_lim= 24.55 +# +rates= 8.00 10.00 +function= square +square_param= 0.893210411 1.13223456E-02 24.5112667 0.166278049 +# Goodness of fit (reduced chi^2): 0.496 +# +# Limiting magnitude of the block +#mag_lim= 24.49 +mag_lim= 24.39 +# +rates= 10.00 12.00 +function= square +square_param= 0.878397822 1.13094356E-02 24.4453583 0.166974485 +# Goodness of fit (reduced chi^2): 0.879 +# +# Limiting magnitude of the block +#mag_lim= 24.42 +mag_lim= 24.32 +# +rates= 12.00 15.00 +function= square +square_param= 0.866272926 1.40404310E-02 24.3540421 0.167420089 +# Goodness of fit (reduced chi^2): 0.633 +# +# Limiting magnitude of the block +#mag_lim= 24.31 +mag_lim= 24.21 +# diff --git a/src/ossssim/Characterizations/OSSOS-MA/2015AM.eff b/src/ossssim/Characterizations/OSSOS-MA/2015AM.eff new file mode 100644 index 0000000..33af820 --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/2015AM.eff @@ -0,0 +1,71 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 12.0 20.0 +# +mag_error= 0.020 0.12 23.8 -0.14 24.7 -0.34 +# +phot_frac= 0.073 0.364 0.563 +# +track_frac= 1.0 25.35 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.938154340 1.07404441E-02 24.9222641 0.156125039 +# Goodness of fit (reduced chi^2): 0.967 +# +# Limiting magnitude of the block +mag_lim= 24.91 +# +rates= 2.00 6.00 +function= square +square_param= 0.916795731 1.27213169E-02 24.9023361 0.148992002 +# Goodness of fit (reduced chi^2): 0.269 +# +# Limiting magnitude of the block +mag_lim= 24.87 +# +rates= 6.00 8.00 +function= square +square_param= 0.890322566 1.30775571E-02 24.8419151 0.148460299 +# Goodness of fit (reduced chi^2): 0.696 +# +# Limiting magnitude of the block +mag_lim= 24.79 +# +rates= 8.00 10.00 +function= square +square_param= 0.881018519 1.35978991E-02 24.7838840 0.146249115 +# Goodness of fit (reduced chi^2): 0.504 +# +# Limiting magnitude of the block +#mag_lim= 24.73 +mag_lim= 24.63 +# +rates= 10.00 12.00 +function= square +square_param= 0.865377665 1.44656133E-02 24.7113113 0.148179635 +# Goodness of fit (reduced chi^2): 0.799 +# +# Limiting magnitude of the block +#mag_lim= 24.65 +mag_lim= 24.55 +# +rates= 12.00 15.00 +function= square +square_param= 0.845461726 1.48604941E-02 24.6220360 0.151784837 +# Goodness of fit (reduced chi^2): 0.846 +# +# Limiting magnitude of the block +#mag_lim= 24.55 +mag_lim= 24.45 +# diff --git a/src/ossssim/Characterizations/OSSOS-MA/2015AP.eff b/src/ossssim/Characterizations/OSSOS-MA/2015AP.eff new file mode 100644 index 0000000..5e8605d --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/2015AP.eff @@ -0,0 +1,72 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 20.0 22.0 +# +mag_error= 0.035 0.21 24.4 -0.05 24.8 -0.4 +# +phot_frac= 0.129 0.279 0.592 +# +track_frac= 0.9865 25.35 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.947899103 1.17114708E-02 24.7796631 0.183700129 +# Goodness of fit (reduced chi^2): 2.188 +# +# Limiting magnitude of the block +mag_lim= 24.77 +# +rates= 2.00 5.00 +function= square +square_param= 0.926963389 1.31419227E-02 24.7708035 0.178037807 +# Goodness of fit (reduced chi^2): 1.311 +# +# Limiting magnitude of the block +#mag_lim= 24.74 +mag_lim= 24.80 +# +rates= 5.00 8.00 +function= square +square_param= 0.898972332 1.24170277E-02 24.6998901 0.174402624 +# Goodness of fit (reduced chi^2): 0.726 +# +# Limiting magnitude of the block +mag_lim= 24.66 +# +rates= 8.00 10.00 +function= square +square_param= 0.877519727 1.25099272E-02 24.6331863 0.174904048 +# Goodness of fit (reduced chi^2): 0.840 +# +# Limiting magnitude of the block +#mag_lim= 24.59 +mag_lim= 24.49 +# +rates= 10.00 12.00 +function= square +square_param= 0.860023141 1.24099599E-02 24.5626755 0.177125990 +# Goodness of fit (reduced chi^2): 0.418 +# +# Limiting magnitude of the block +#mag_lim= 24.51 +mag_lim= 24.41 +# +rates= 12.00 15.00 +function= double +double_param= 0.825767696 24.6297474 0.910857081 0.311173081 +# Goodness of fit (reduced chi^2): 2.340 +# +# Limiting magnitude of the block +#mag_lim= 24.42 +mag_lim= 24.32 +# diff --git a/src/ossssim/Characterizations/OSSOS-MA/2015BC.eff b/src/ossssim/Characterizations/OSSOS-MA/2015BC.eff new file mode 100644 index 0000000..ff06bab --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/2015BC.eff @@ -0,0 +1,74 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.02 0.27 25.0 0.001 24.0 -0.22 +# +phot_frac= 0.129 0.279 0.592 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.933323383 1.22420564E-02 24.8778725 0.129970565 +# Goodness of fit (reduced chi^2): 2.789 +# +# Limiting magnitude of the block +# OK +mag_lim= 24.86 +# +rates= 2.00 6.00 +function= double +double_param= 0.878271341 24.9278564 0.235119641 0.791498780 +# Goodness of fit (reduced chi^2): 8.641 +# +# Limiting magnitude of the block +# OK +mag_lim= 24.78 +# +rates= 6.00 8.00 +function= square +square_param= 0.863195181 1.08388867E-02 24.7044296 0.136396363 +# Goodness of fit (reduced chi^2): 1.871 +# +# Limiting magnitude of the block +mag_lim= 24.67 +# +rates= 8.00 10.00 +function= square +square_param= 0.843950450 1.24595305E-02 24.6312561 0.145581514 +# Goodness of fit (reduced chi^2): 1.763 +# +# Limiting magnitude of the block +#mag_lim= 24.58 +mag_lim= 24.48 +# +rates= 10.00 12.00 +function= square +square_param= 0.812560320 1.14012510E-02 24.5263748 0.131260082 +# Goodness of fit (reduced chi^2): 2.618 +# +# Limiting magnitude of the block +#mag_lim= 24.47 +mag_lim= 24.37 +# +rates= 12.00 15.00 +function= square +square_param= 0.784676313 1.28535815E-02 24.3943558 0.145704076 +# Goodness of fit (reduced chi^2): 1.097 +# +# Limiting magnitude of the block +#mag_lim= 24.32 +mag_lim= 24.22 +# diff --git a/src/ossssim/Characterizations/OSSOS-MA/2015BD.eff b/src/ossssim/Characterizations/OSSOS-MA/2015BD.eff new file mode 100644 index 0000000..a420128 --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/2015BD.eff @@ -0,0 +1,73 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.02 0.22 25.0 -0.02 24.5 -0.2 +# +phot_frac= 0.129 0.279 0.592 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.952559114 7.21653039E-03 25.2269707 0.151720747 +# Goodness of fit (reduced chi^2): 1.411 +# +# Limiting magnitude of the block +mag_lim= 25.23 +# +rates= 2.00 6.00 +function= square +square_param= 0.930487275 9.34686325E-03 25.1766472 0.171281680 +# Goodness of fit (reduced chi^2): 0.790 +# +# Limiting magnitude of the block +#mag_lim= 25.16 +mag_lim= 25.15 +# +rates= 6.00 8.00 +function= square +square_param= 0.909285843 1.10610612E-02 25.0602646 0.155915767 +# Goodness of fit (reduced chi^2): 1.511 +# +# Limiting magnitude of the block +mag_lim= 25.03 +# +rates= 8.00 10.00 +function= square +square_param= 0.889755666 1.15875900E-02 24.9648933 0.160667822 +# Goodness of fit (reduced chi^2): 1.838 +# +# Limiting magnitude of the block +#mag_lim= 24.92 +mag_lim= 24.82 +# +rates= 10.00 12.00 +function= square +square_param= 0.877756357 1.17960759E-02 24.8429909 0.153235033 +# Goodness of fit (reduced chi^2): 2.457 +# +# Limiting magnitude of the block +#mag_lim= 24.80 +mag_lim= 24.70 +# +rates= 12.00 15.00 +function= square +square_param= 0.852235436 1.44369807E-02 24.6762257 0.158442006 +# Goodness of fit (reduced chi^2): 1.905 +# +# Limiting magnitude of the block +#mag_lim= 24.61 +mag_lim= 24.51 +# diff --git a/src/ossssim/Characterizations/OSSOS-MA/2015BS.eff b/src/ossssim/Characterizations/OSSOS-MA/2015BS.eff new file mode 100644 index 0000000..4ecce61 --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/2015BS.eff @@ -0,0 +1,73 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.06 0.088 23.65 -0.09 24.5 -0.16 +# +phot_frac= 0.176 0.162 0.662 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.959340930 6.62358711E-03 25.3835297 0.206354752 +# Goodness of fit (reduced chi^2): 1.842 +# +# Limiting magnitude of the block +mag_lim= 25.39 +# +rates= 2.00 6.00 +function= square +square_param= 0.935269296 7.23091885E-03 25.3351059 0.198516250 +# Goodness of fit (reduced chi^2): 0.994 +# +# Limiting magnitude of the block +#mag_lim= 25.33 +mag_lim= 25.15 +# +rates= 6.00 8.00 +function= square +square_param= 0.916525841 7.48339947E-03 25.2458649 0.186383575 +# Goodness of fit (reduced chi^2): 1.105 +# +# Limiting magnitude of the block +mag_lim= 25.23 +# +rates= 8.00 10.00 +function= square +square_param= 0.907858610 9.18652676E-03 25.1958694 0.181990102 +# Goodness of fit (reduced chi^2): 1.180 +# +# Limiting magnitude of the block +#mag_lim= 25.17 +mag_lim= 25.07 +# +rates= 10.00 12.00 +function= square +square_param= 0.896520257 9.09573119E-03 25.1039543 0.170556724 +# Goodness of fit (reduced chi^2): 1.060 +# +# Limiting magnitude of the block +#mag_lim= 25.07 +mag_lim= 24.97 +# +rates= 12.00 15.00 +function= square +square_param= 0.871073961 1.04473457E-02 24.9980659 0.169737995 +# Goodness of fit (reduced chi^2): 0.928 +# +# Limiting magnitude of the block +#mag_lim= 24.95 +mag_lim= 24.85 +# diff --git a/src/ossssim/Characterizations/OSSOS-MA/2015BT.eff b/src/ossssim/Characterizations/OSSOS-MA/2015BT.eff new file mode 100644 index 0000000..d59de0a --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/2015BT.eff @@ -0,0 +1,73 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.3 15.0 -23.0 22.0 +# +mag_error= 0.05 0.12 23.6 -0.1 24.5 -0.3 +# +phot_frac= 0.111 0.333 0.556 +# +#track_frac= 0.9865 25.35 -5.00 +track_frac= 1. 25.5 -5.00 +# +filter= r +# +rates= 0.50 2.00 +function= square +square_param= 0.779432952 9.55713075E-03 25.0930557 0.154308304 +# Goodness of fit (reduced chi^2): 1.206 +# +# Limiting magnitude of the block +mag_lim= 25.00 +# +rates= 2.00 6.00 +function= square +square_param= 0.733703613 7.04801176E-03 25.0357132 0.176427126 +# Goodness of fit (reduced chi^2): 1.006 +# +# Limiting magnitude of the block +#mag_lim= 24.93 +mag_lim= 24.97 +# +rates= 6.00 8.00 +function= square +square_param= 0.704545498 7.21824309E-03 24.9767361 0.179162621 +# Goodness of fit (reduced chi^2): 0.794 +# +# Limiting magnitude of the block +mag_lim= 24.85 +# +rates= 8.00 10.00 +function= square +square_param= 0.682164788 6.79409411E-03 24.9148598 0.169436932 +# Goodness of fit (reduced chi^2): 1.131 +# +# Limiting magnitude of the block +#mag_lim= 24.78 +mag_lim= 24.68 +# +rates= 10.00 12.00 +function= square +square_param= 0.680245638 9.88271739E-03 24.8708954 0.168957204 +# Goodness of fit (reduced chi^2): 0.803 +# +# Limiting magnitude of the block +#mag_lim= 24.69 +mag_lim= 24.59 +# +rates= 12.00 15.00 +function= square +square_param= 0.654836535 9.64413211E-03 24.7750816 0.175563812 +# Goodness of fit (reduced chi^2): 1.331 +# +# Limiting magnitude of the block +#mag_lim= 24.57 +mag_lim= 24.47 +# diff --git a/src/ossssim/Characterizations/OSSOS-MA/MA11l12h.pointings b/src/ossssim/Characterizations/OSSOS-MA/MA11l12h.pointings new file mode 100644 index 0000000..f4b5bd3 --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/MA11l12h.pointings @@ -0,0 +1,21 @@ +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# + 4.887 1.990 01:51:08.00 +15:51:48.0 2455860.843750 0.916 500 ma11la.eff + 4.922 1.990 01:51:08.00 +13:54:00.0 2455858.963195 0.912 500 ma11la.eff + 1.993 2.984 01:41:01.70 +28:10:00.0 2456220.904167 0.907 500 ma12ha.eff + 1.993 2.984 01:49:58.30 +28:10:00.0 2456221.947917 0.907 500 ma12ha.eff diff --git a/src/ossssim/Characterizations/OSSOS-MA/OSSOS-MA_v11.CDS b/src/ossssim/Characterizations/OSSOS-MA/OSSOS-MA_v11.CDS new file mode 100644 index 0000000..8f9bc99 --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/OSSOS-MA_v11.CDS @@ -0,0 +1,1022 @@ +Title: The Outer Solar System Origins Survey: +Authors: Bannister M.T., Kavelaars J.J., Petit J.-M., Gladman B.J., Gwyn S.D.J., +Table: Orbit and discovery properties of the characterized OSSOS objects +================================================================================ +Byte-by-byte Description of file: OSSOS-MA_v11.CDS +-------------------------------------------------------------------------------- + Bytes Format Units Label Explanation (with possible notes) +-------------------------------------------------------------------------------- + 1- 3 A3 --- cl Orbital population/class (1) + 5- 5 A1 --- p Possibly additional information based on + class + IF cl=cent OR sca OR det: + no information ('x') + IF cl=res: + U or N indicating MMR planet (2) + IF cl=cla, portion of classical belt is + indicated as: + i : inner (a < a_(3:2 resonance) ) + m : inner (a_(3:2 resonance) < a + < a_(2:1 resonance) ) + o : outer (a < a_(2:1 resonance) ) + and not detached + 7- 9 I3 --- j Resonant object is in the j : k resonance + (-1 is null) + 11- 13 I3 --- k Resonant object is in the j : k resonance + (-1 is null) + 15- 16 A2 --- sh [ISH] Orbit classification status (3) + 18- 27 A10 --- object Object identifier/designation (4) + See ossos-survey.org/tnodb for a + correspondence list to MPC + 29- 33 F5.2 mag mag Cleaned mean magnitude DURING DISCOVERY + Cleaned = flagged photometry not part of + average + 35- 39 F5.3 mag e_mag Uncertainty in magnitude + (applies to Hsur also) + 41- 41 A1 --- Filt Filter used in discovery observation + 43- 47 F5.2 mag Hsur Surmised Absolute magnitude H, in + discovery filter + 49- 55 F7.3 AU dist Object distance at discovery (5) + 57- 63 F7.3 AU e_dist Uncertainty in dist (6) + 65- 68 I4 --- Nobs Number of observations available + 70- 78 F9.4 years time Length of measured orbital arc + (last-first observation) + 80- 85 F6.3 arcsec av-xres Mean orbit-fit residual, RA + 87- 92 F6.3 arcsec av-yres Mean orbit-fit residual, DEC + 94- 99 F6.3 arcsec max-x Maximum orbit-fit residual, RA + 101-106 F6.3 arcsec max-y Maximum orbit-fit residual, DEC + 108-118 F11.6 AU a Semimajor axis (5) + 120-129 F10.4 AU e_a Uncertainty in a (6) + 131-139 F9.6 --- e Orbital eccentricity (5) + 141-149 F9.6 --- e_e Uncertainty in e (6) + 151-157 F7.3 deg i Inclination to the ecliptic (5) + 159-165 F7.3 deg e_i Uncertainty in i (6) + 167-174 F8.3 deg Omega Longitude of ascending node + 176-182 F7.3 deg e_Omega Uncertainty in Omega + 184-191 F8.3 deg omega Argument of perihelion + 193-201 F9.3 deg e_omega Uncertainty in omega + 203-212 F10.3 d tperi Modified Julian Date of osculating + perihelion passage + 214-223 F10.3 d e_tperi Uncertainty in tperi + 225-231 F7.3 deg RAdeg Right ascension (J2000) at mean equinox of + discovery + 233-239 F7.3 deg DEdeg Declination (J2000) at mean equinox of + discovery + 241-253 F13.5 d JD Central Julian Date of of first discovery + image + 255-259 F5.2 arcsec/h rate Angular rate of sky motion at discovery + 261-267 A7 --- MPC Compact MPC designation +-------------------------------------------------------------------------------- +Note (1): Orbital population/Dynamical class, based on scheme from + Gladman et al. (2008), "Solar System beyond Neptune" + cen = centaur + sca = scattering disk object + cla = classical belt + res = in mean-motion resonance + det = detached object ( a>a_(2:1) and e>0.24 and non-resonant and + non-scattering ) + jco = Jupiter Coupled +Note (2): Mean-motion resonance occupancy is checked for planets [U]ranus and + [N]eptune. +Note (3): Orbit classification status: + First character: + I = the orbit classification is currently insecure; + or + S = the orbit classification is secure. + Optional second character + H = human operator intervened and set the given orbit security status +Note (4): Survey designations here based on their OSSOS discovery, with a format + "o" for OSSOS, the last digit of the year in which the object was discovered + by OSSOS (3-6), the block ID letter (e,o) and the sequential number to give + unique identifiers, "PD" indicates previous discovery. + Object beginning "KO2" are Presurvey objects (Jones et al 2006, Icarus) + Object beginning "L" are CFEPS objects (Petit et al 2011, AJ)) + Object beginning "HL" are Hilat Survey objects (Petit et al 2016, AJ)) + Object beginning "ma" are from the PhD thesis of (Alexandersen et al + 2016, AJ)) +Note (5): J2000 ecliptic barycentric coordinates. +Note (6): Uncertainties from the covariance matrix of the orbital parameter + confidence regions as determined by the method described in + Bernstein and Khushalani (2000). +-------------------------------------------------------------------------------- +sca x -1 -1 S o3e01 21.50 0.087 r 7.73 23.291 0.000 120 15.1322 0.083 0.073 0.311 0.343 34.419111 0.0012 0.589613 0.000009 7.711 0.000 32.982 0.000 275.186 0.002 62220.913 0.038 213.148 -13.587 2456386.92978 4.87 K02GG6G +res N 3 2 S o3e02 23.34 0.140 r 8.32 31.080 0.001 32 3.2522 0.047 0.052 0.187 0.134 39.440179 0.0041 0.228123 0.000131 13.468 0.000 35.741 0.000 152.551 0.047 52153.805 6.812 213.839 -13.500 2456386.94170 3.73 K13GD7H +res N 3 2 S o3e03 23.72 0.109 r 8.70 31.131 0.000 29 4.1449 0.092 0.052 0.195 0.207 39.334897 0.0052 0.256758 0.000153 3.866 0.000 31.386 0.001 136.792 0.022 49608.799 2.481 211.891 -13.064 2456386.91785 3.68 K13GD7E +res N 3 2 S o3e04 23.39 0.163 r 8.25 32.136 0.000 29 3.1756 0.059 0.050 0.253 0.320 39.495980 0.0043 0.266711 0.000188 16.873 0.000 42.491 0.000 230.926 0.036 65131.641 3.559 214.699 -11.658 2456391.88210 3.72 K13GD7J +res N 2 1 S o3e05 22.69 0.066 r 7.42 33.001 0.001 31 2.1187 0.044 0.047 0.139 0.093 47.744356 0.0099 0.344105 0.000246 6.660 0.001 219.318 0.000 35.600 0.060 62234.242 8.108 216.271 -14.536 2456391.88613 3.40 K13GD6W +res N 3 2 S o3e06 24.03 0.309 r 8.59 34.357 0.001 36 2.0422 0.110 0.103 0.432 0.463 39.258556 0.0083 0.199499 0.000505 10.440 0.001 44.493 0.000 235.115 0.091 66946.358 10.054 217.397 -13.633 2456391.90177 3.27 K13GD7L +res N 3 2 S o3e07 24.06 0.162 r 8.52 35.160 0.001 25 1.3764 0.097 0.102 0.425 0.453 39.333143 0.0184 0.135343 0.001629 2.392 0.001 96.067 0.023 74.042 0.699 47992.924 118.516 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0.071 0.266 0.197 38.039160 0.0246 0.128766 0.002599 27.787 0.001 21.128 0.000 273.127 0.125 36565.721 81.731 25.411 15.152 2455860.78698 3.52 K11Uf2O +res N 3 2 S mal30 21.87 0.033 r 6.10 37.958 0.001 31 2.2717 0.092 0.075 0.229 0.231 39.307760 0.0187 0.210805 0.001016 12.842 0.001 26.610 0.000 272.045 0.028 38634.445 22.650 29.058 13.136 2455858.90763 3.42 K04V75T +res N 3 2 S mal31 24.00 0.000 r 8.16 38.402 0.001 26 2.3184 0.086 0.079 0.245 0.227 39.520545 0.0133 0.124484 0.001159 3.833 0.000 298.461 0.010 8.437 0.041 38191.667 16.937 27.475 15.512 2455860.77825 3.52 K11Uf0Z +res N 3 2 I mal32 23.77 0.033 r 7.91 38.548 0.001 25 2.0862 0.076 0.080 0.281 0.252 39.600536 0.0056 0.043646 0.000750 14.900 0.001 13.374 0.001 322.525 0.612 43039.790 131.718 26.307 15.687 2455860.78262 3.42 K11Uf1B +res N 4 1 S mal33 24.20 0.100 r 8.34 38.569 0.003 17 1.4228 0.063 0.090 0.131 0.205 75.785556 0.0220 0.491166 0.000149 13.435 0.001 231.961 0.002 160.345 0.495 56178.002 98.469 27.269 16.537 2455860.80517 3.21 K11Uf1P +res N 5 3 S mal34 24.27 0.088 r 8.36 39.189 0.002 16 1.4340 0.086 0.091 0.216 0.263 42.223676 0.0047 0.071898 0.000092 1.974 0.000 308.534 0.043 82.373 2.385 56151.282 572.392 26.861 13.224 2455858.91621 3.26 K11Uf1L +res N 3 2 S mal35 21.50 0.000 r 5.57 39.355 0.001 27 4.1122 0.045 0.096 0.097 0.207 39.512594 0.0040 0.178507 0.000226 13.497 0.000 19.795 0.000 109.099 0.017 75569.660 6.173 26.827 13.695 2455858.91621 3.36 K11Uf0T +cla m -1 -1 I mal36 24.60 0.173 r 8.65 39.507 0.003 12 1.1468 0.090 0.118 0.166 0.311 46.250117 0.0110 0.147643 0.000843 2.956 0.001 252.563 0.024 146.427 2.231 58270.138 519.823 25.905 12.975 2455858.92047 3.26 K11Uf2A +cla m -1 -1 I mal37 24.23 0.133 r 8.27 39.653 0.002 23 1.3793 0.118 0.137 0.275 0.353 42.432680 0.0185 0.098398 0.002359 7.210 0.001 24.163 0.002 315.718 1.041 43456.458 209.011 30.125 13.445 2455858.90337 3.27 K11Uf1X +cla m -1 -1 IH mal38 24.40 0.153 r 8.35 40.339 0.002 27 1.4309 0.123 0.099 0.313 0.249 45.382779 0.0219 0.131928 0.001813 10.729 0.001 231.692 0.002 124.064 1.022 46961.974 225.627 29.765 15.901 2455860.81804 3.36 K11Uf2M +cla m -1 -1 S mal39 23.80 0.058 r 7.74 40.517 0.002 26 1.4723 0.098 0.067 0.230 0.145 43.408021 0.0058 0.070503 0.000850 3.132 0.001 337.472 0.019 32.829 1.774 50639.411 441.022 27.930 14.237 2455858.93329 3.19 K11Uf2C +cla m -1 -1 S mal40 23.13 0.033 r 7.03 40.875 0.002 24 1.4339 0.066 0.064 0.291 0.162 43.048298 0.0116 0.070517 0.001847 7.737 0.001 14.293 0.003 329.394 1.353 43929.543 313.333 27.994 13.942 2455858.93329 3.17 J99RL5U +cla i -1 -1 S mal41 24.47 0.067 r 8.36 40.960 0.004 13 1.2892 0.059 0.075 0.164 0.206 38.960081 0.0183 0.057848 0.002627 20.411 0.002 216.340 0.001 325.615 5.440 93092.918 1343.401 25.278 13.703 2455858.92047 3.13 K11Uf2N +cla m -1 -1 S mal42 22.57 0.033 r 6.43 41.288 0.002 23 1.3795 0.070 0.119 0.191 0.387 44.061145 0.0047 0.063950 0.000495 2.122 0.002 8.325 0.019 34.887 2.643 58648.018 686.860 30.029 13.190 2455858.90337 3.13 K01RE3Z +cla m -1 -1 S mal43 24.07 0.033 r 7.92 41.355 0.002 23 1.4340 0.123 0.079 0.228 0.201 43.362997 0.0132 0.066840 0.002121 4.419 0.001 20.174 0.004 323.075 1.529 43238.873 359.215 29.926 13.229 2455858.90337 3.15 K11Uf1V +cla m -1 -1 S mal44 24.17 0.033 r 8.01 41.372 0.002 22 1.4313 0.077 0.091 0.177 0.246 42.603289 0.0268 0.116416 0.002709 15.118 0.002 21.517 0.001 94.399 0.213 75304.677 12.265 30.145 15.790 2455860.76973 3.17 K11Uf2H +res N 3 2 S mal45 23.07 0.033 r 6.90 41.480 0.001 28 2.2668 0.064 0.061 0.264 0.191 39.212242 0.0272 0.288434 0.001143 15.700 0.001 19.081 0.001 131.877 0.109 77058.855 44.885 29.485 16.301 2455860.81804 3.20 K11Uf1D +cla m -1 -1 I mal46 24.53 0.167 r 8.37 41.526 0.002 20 1.4340 0.090 0.114 0.264 0.299 43.839053 0.0391 0.165471 0.002631 4.529 0.002 18.484 0.005 94.657 0.169 74173.180 14.681 30.075 13.468 2455858.90337 3.28 K11Uf1W +res N 2 1 S mal47 24.57 0.133 r 8.33 41.987 0.001 21 3.9566 0.147 0.080 0.365 0.194 47.693004 0.0084 0.141996 0.000276 10.691 0.000 238.834 0.001 114.086 0.110 46437.643 25.154 26.561 16.561 2455860.80517 3.02 K11Uf1G +cla m -1 -1 S mal48 23.83 0.033 r 7.57 42.436 0.002 33 1.4313 0.082 0.095 0.229 0.306 46.451000 0.0339 0.155030 0.002303 2.496 0.000 303.964 0.028 24.904 0.407 40158.170 58.463 29.832 14.893 2455860.76973 3.07 K11Uf2G +cla m -1 -1 I mal49 23.73 0.033 r 7.41 42.833 0.002 21 1.4395 0.071 0.104 0.170 0.195 43.028360 0.0215 0.083076 0.002884 10.371 0.002 239.455 0.005 60.139 0.104 32305.258 103.291 27.842 16.754 2455860.80951 3.07 K11Uf2L +cla m -1 -1 S mal50 24.30 0.200 r 7.98 42.997 0.002 17 1.4338 0.057 0.071 0.157 0.193 42.030971 0.0066 0.029441 0.001841 29.757 0.002 27.031 0.000 147.942 4.534 94556.742 1254.021 28.820 14.932 2455860.77399 3.12 K11Uf2J +cla m -1 -1 S mal51 23.97 0.088 r 7.64 43.191 0.002 25 1.4423 0.101 0.052 0.245 0.119 44.217924 0.0151 0.064180 0.002442 1.907 0.000 309.431 0.040 154.113 0.723 75286.666 137.994 28.659 13.809 2455858.90763 2.99 K11Uf1Y +cla m -1 -1 S mal52 24.30 0.000 r 7.95 43.301 0.002 24 1.4723 0.105 0.099 0.262 0.256 43.940956 0.0082 0.030894 0.002452 1.694 0.001 357.000 0.029 98.659 2.328 73617.814 599.391 29.882 13.259 2455858.90337 2.99 K11Uf1U +cla m -1 -1 S mal53 23.20 0.000 r 6.74 44.397 0.001 25 4.1122 0.121 0.120 0.259 0.291 45.413690 0.0039 0.052319 0.000331 5.496 0.000 358.348 0.003 100.405 0.214 75027.845 53.039 28.178 14.852 2455858.93329 2.94 K11Uf2D +cla m -1 -1 S mal54 24.27 0.033 r 7.75 44.937 0.005 17 1.2809 0.100 0.105 0.202 0.221 43.495764 0.0186 0.055618 0.005116 15.311 0.002 14.512 0.002 245.796 4.194 19787.907 1227.682 25.362 14.784 2455858.92476 2.99 K11Uf2B +cla m -1 -1 S mal55 24.27 0.033 r 7.74 45.158 0.002 22 1.4504 0.061 0.098 0.124 0.269 45.535456 0.0143 0.053150 0.002964 1.214 0.000 315.356 0.069 352.167 0.320 31494.864 18.823 29.187 13.224 2455858.90763 2.83 K11Uf1Z +cla m -1 -1 S mal56 24.40 0.000 r 7.82 45.576 0.004 12 1.1466 0.080 0.090 0.153 0.227 45.069927 0.0169 0.011888 0.002565 2.146 0.000 313.968 0.066 277.782 41.184 6484.545 12639.352 30.198 14.597 2455858.94181 2.94 K11Uf2F +cla o -1 -1 I mal57 24.13 0.088 r 7.49 46.124 0.003 15 1.4395 0.115 0.103 0.286 0.257 48.080094 0.0726 0.182727 0.003915 17.822 0.002 224.314 0.002 79.714 0.046 33180.331 87.605 28.825 15.946 2455860.81377 2.98 K11Uf2T +cla m -1 -1 I mal58 24.40 0.100 r 7.74 46.661 0.004 16 1.4501 0.093 0.084 0.176 0.184 47.879267 0.0788 0.160826 0.004845 2.606 0.002 5.095 0.021 116.380 0.044 79920.003 123.636 28.917 13.103 2455858.90763 2.81 K11Uf2S +cla m -1 -1 S mal59 23.27 0.033 r 6.44 48.245 0.003 26 1.4339 0.084 0.112 0.221 0.301 43.495625 0.0053 0.111878 0.000549 22.799 0.002 218.117 0.000 5.580 1.448 7508.573 419.189 30.111 14.586 2455858.94181 2.84 K11Uf2E +res N 5 3 S mal60 24.07 0.088 r 7.23 48.408 0.007 12 1.2891 0.063 0.098 0.150 0.265 42.222091 0.0142 0.146728 0.000412 9.385 0.003 11.445 0.006 196.753 3.581 104918.269 986.116 27.424 14.695 2455858.93329 2.76 K11Uf1M +res N 5 2 I mal61 24.53 0.067 r 7.45 51.239 0.004 20 1.4338 0.088 0.132 0.221 0.242 55.668479 0.2748 0.406186 0.005081 6.420 0.002 4.876 0.011 130.185 0.159 79336.444 140.708 28.610 14.909 2455860.77399 2.61 K11Uf1T +res N 3 1 I mal62 23.90 0.000 r 6.75 52.005 0.002 25 1.4396 0.074 0.079 0.150 0.177 62.442250 0.2131 0.404531 0.003525 40.400 0.002 215.504 0.000 263.654 0.018 78060.666 65.762 27.736 15.359 2455860.77825 2.68 K11Uf1Q diff --git a/src/ossssim/Characterizations/OSSOS-MA/OSSOS-MA_v11.detections b/src/ossssim/Characterizations/OSSOS-MA/OSSOS-MA_v11.detections new file mode 100644 index 0000000..bb1592d --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/OSSOS-MA_v11.detections @@ -0,0 +1,924 @@ +# File: OSSOS-MA_v11.detections +# +# cl p j k sh object mag e_mag Filt Hsur dist e_dist Nobs time av_xres av_yres max_x max_y a e_a e e_e i e_i Omega e_Omega omega e_omega tperi e_tperi RAdeg DEdeg JD rate MPC +sca x -1 -1 S o3e01 21.50 0.087 r 7.73 23.291 0.000 120 15.1322 0.083 0.073 0.311 0.343 34.419111 0.0012 0.589613 0.000009 7.711 0.000 32.982 0.000 275.186 0.002 62220.913 0.038 213.148 -13.587 2456386.92978 4.87 K02GG6G +res N 3 2 S o3e02 23.34 0.140 r 8.32 31.080 0.001 32 3.2522 0.047 0.052 0.187 0.134 39.440179 0.0041 0.228123 0.000131 13.468 0.000 35.741 0.000 152.551 0.047 52153.805 6.812 213.839 -13.500 2456386.94170 3.73 K13GD7H +res N 3 2 S o3e03 23.72 0.109 r 8.70 31.131 0.000 29 4.1449 0.092 0.052 0.195 0.207 39.334897 0.0052 0.256758 0.000153 3.866 0.000 31.386 0.001 136.792 0.022 49608.799 2.481 211.891 -13.064 2456386.91785 3.68 K13GD7E +res N 3 2 S o3e04 23.39 0.163 r 8.25 32.136 0.000 29 3.1756 0.059 0.050 0.253 0.320 39.495980 0.0043 0.266711 0.000188 16.873 0.000 42.491 0.000 230.926 0.036 65131.641 3.559 214.699 -11.658 2456391.88210 3.72 K13GD7J +res N 2 1 S o3e05 22.69 0.066 r 7.42 33.001 0.001 31 2.1187 0.044 0.047 0.139 0.093 47.744356 0.0099 0.344105 0.000246 6.660 0.001 219.318 0.000 35.600 0.060 62234.242 8.108 216.271 -14.536 2456391.88613 3.40 K13GD6W +res N 3 2 S o3e06 24.03 0.309 r 8.59 34.357 0.001 36 2.0422 0.110 0.103 0.432 0.463 39.258556 0.0083 0.199499 0.000505 10.440 0.001 44.493 0.000 235.115 0.091 66946.358 10.054 217.397 -13.633 2456391.90177 3.27 K13GD7L +res N 3 2 S o3e07 24.06 0.162 r 8.52 35.160 0.001 25 1.3764 0.097 0.102 0.425 0.453 39.333143 0.0184 0.135343 0.001629 2.392 0.001 96.067 0.023 74.042 0.699 47992.924 118.516 212.643 -10.849 2456386.93770 3.51 K13GD7G +res N 3 2 S o3e08 24.02 0.130 r 8.45 35.413 0.001 34 4.2867 0.069 0.071 0.235 0.230 39.371591 0.0028 0.103683 0.000078 6.942 0.000 204.436 0.000 352.259 0.091 53206.618 18.199 210.956 -11.526 2456386.90980 3.41 K13GD7D +res N 5 2 S o3e09 22.94 0.051 r 7.32 35.765 0.001 38 2.1189 0.059 0.058 0.268 0.329 55.536335 0.0202 0.414113 0.000368 10.877 0.001 221.020 0.000 43.984 0.055 64191.070 6.648 216.853 -15.028 2456391.89790 3.24 K13GD6Y +cla i -1 -1 S o3e10 23.73 0.187 r 8.00 36.716 0.001 31 2.1218 0.089 0.088 0.294 0.433 38.768244 0.0054 0.060387 0.000503 24.276 0.001 39.138 0.000 148.820 0.691 49757.641 146.549 216.728 -14.223 2456391.89790 3.36 K13GD6O +sca x -1 -1 S o3e11 23.60 0.098 r 7.86 36.851 0.001 33 4.1367 0.083 0.166 0.160 0.253 86.736041 0.0210 0.609305 0.000107 18.362 0.000 213.926 0.000 36.549 0.014 62736.013 1.897 210.617 -12.965 2456386.90583 3.23 K13GD6Z +res N 3 2 S o3e12 23.90 0.134 r 8.11 37.246 0.001 37 1.9632 0.101 0.109 0.320 0.349 39.556783 0.0107 0.156869 0.000795 14.679 0.001 35.789 0.000 101.826 0.063 41302.829 3.468 212.805 -12.830 2456386.92978 3.18 K13GD7F +res N 16 9 IH o3e13 23.72 0.113 r 7.86 37.877 0.001 34 4.2869 0.114 0.162 0.220 0.378 44.118257 0.0041 0.167468 0.000149 8.318 0.000 49.169 0.001 125.890 0.055 48297.846 10.310 212.216 -10.496 2456386.92583 3.12 K13GD6U +cla m -1 -1 S o3e15 23.86 0.150 r 7.87 39.055 0.001 27 1.8894 0.105 0.097 0.245 0.263 43.932301 0.0050 0.113549 0.000268 5.420 0.001 57.011 0.004 146.669 0.485 53218.946 112.418 216.041 -12.328 2456391.89399 3.18 K13GD8D +cla m -1 -1 S o3e16 23.47 0.142 r 7.44 39.491 0.001 27 2.1218 0.057 0.064 0.238 0.142 43.865613 0.0052 0.099767 0.000084 2.595 0.000 95.871 0.018 120.985 0.660 56797.205 157.995 214.076 -11.197 2456391.87047 3.08 K13GD7S +cla m -1 -1 IH o3e17 24.00 0.140 r 7.85 40.609 0.001 34 4.2242 0.114 0.078 0.336 0.277 41.097734 0.0032 0.034898 0.000250 7.451 0.000 216.046 0.000 288.779 0.114 38169.437 24.570 214.917 -13.830 2456391.87434 2.96 K13GD6V +cla m -1 -1 S o3e18 23.87 0.364 r 7.69 40.893 0.001 28 4.2269 0.099 0.088 0.310 0.238 41.441841 0.0060 0.048136 0.000484 21.116 0.001 212.131 0.000 288.248 0.071 37078.442 14.629 215.455 -12.182 2456391.89399 3.04 K13GD7Z +res N 7 4 S o3e19 23.40 0.098 r 7.20 41.042 0.001 28 4.1532 0.105 0.080 0.211 0.240 43.646726 0.0035 0.076386 0.000202 1.645 0.000 198.739 0.005 55.544 0.229 66883.277 55.024 211.186 -12.217 2456386.90583 2.96 K13GD6R +cla m -1 -1 S o3e20PD 23.09 0.215 r 6.82 41.568 0.001 54 15.9186 0.120 0.043 0.251 0.172 43.237096 0.0034 0.039490 0.000059 1.171 0.000 56.759 0.002 171.768 0.027 59765.942 7.205 214.170 -13.232 2456386.94170 2.81 K01FI5K +cla m -1 -1 S o3e21 23.40 0.093 r 7.12 41.693 0.001 32 4.1367 0.061 0.056 0.306 0.212 45.685486 0.0075 0.131261 0.000302 2.848 0.000 90.464 0.007 69.726 0.070 43035.565 13.225 213.386 -10.854 2456386.93770 2.97 K13GD7Q +cla m -1 -1 S o3e22 22.97 0.093 r 6.70 41.715 0.001 39 4.1394 0.076 0.057 0.411 0.314 44.095032 0.0045 0.065060 0.000187 2.761 0.000 72.401 0.006 103.048 0.174 46930.590 43.589 210.436 -10.419 2456386.91383 2.96 K13GD7N +cla m -1 -1 S o3e23PD 23.37 0.077 r 7.09 41.814 0.001 60 16.1754 0.052 0.049 0.234 0.375 46.446625 0.0030 0.118084 0.000041 10.636 0.000 205.775 0.000 334.492 0.015 47161.113 3.775 215.042 -11.853 2456391.88210 2.97 K01FI5O +cla m -1 -1 S o3e24 24.00 0.136 r 7.72 41.902 0.001 27 4.2240 0.107 0.065 0.382 0.167 42.628182 0.0044 0.043771 0.000384 4.226 0.001 51.358 0.002 233.421 0.277 74671.818 63.932 213.880 -12.325 2456391.86658 2.99 K13GD7R +cla m -1 -1 S o3e25 23.59 0.087 r 7.30 41.923 0.001 36 4.2212 0.086 0.091 0.259 0.418 44.842049 0.0032 0.074731 0.000127 4.972 0.001 35.735 0.000 212.512 0.192 64701.440 49.230 214.713 -13.957 2456391.87434 2.89 K13GD7U +cla m -1 -1 S o3e26 23.83 0.233 r 7.52 42.097 0.001 39 3.9127 0.102 0.099 0.454 0.270 43.799000 0.0033 0.045284 0.000128 3.900 0.001 63.412 0.004 185.788 0.305 65067.729 80.608 215.699 -12.322 2456391.89399 2.90 K13GD8A +cla m -1 -1 S o3e27PD 23.10 0.099 r 6.77 42.409 0.001 40 12.9479 0.053 0.045 0.153 0.161 44.152710 0.0035 0.044212 0.000052 2.822 0.000 65.606 0.001 121.499 0.064 48772.219 17.194 213.626 -11.944 2456391.87047 2.89 K04E95U +cla m -1 -1 S o3e28 23.17 0.096 r 6.82 42.646 0.001 44 4.2899 0.109 0.061 0.376 0.311 43.289122 0.0030 0.058806 0.000413 4.129 0.001 51.113 0.002 241.143 0.133 77212.193 24.884 212.178 -11.653 2456391.89004 3.04 K13GD7X +cla m -1 -1 S o3e29 23.46 0.080 r 7.09 42.702 0.001 34 2.2118 0.085 0.076 0.383 0.444 41.419708 0.0064 0.091296 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+res N 3 2 S mal04 23.73 0.088 r 9.00 29.828 0.001 29 2.1003 0.104 0.085 0.350 0.173 39.222939 0.0036 0.244589 0.000089 8.645 0.000 237.962 0.002 167.515 0.093 58007.263 13.493 27.509 15.660 2455860.77825 4.19 K11Uf1A +res N 3 2 S mal05 22.50 0.000 r 7.76 29.862 0.001 26 2.1766 0.068 0.092 0.174 0.201 39.420581 0.0069 0.259110 0.000251 4.308 0.000 332.153 0.006 30.141 0.090 51936.278 11.981 25.833 14.710 2455858.92476 4.16 K11Uf0V +res N 3 2 S mal06 24.43 0.033 r 9.58 30.875 0.001 21 2.2693 0.081 0.078 0.193 0.251 39.412004 0.0086 0.268526 0.000376 17.320 0.001 27.050 0.000 50.367 0.086 62610.166 9.943 28.399 12.997 2455858.90763 4.10 K11Uf0R +res N 3 2 S mal07 24.23 0.088 r 9.35 30.974 0.001 26 2.0071 0.090 0.109 0.277 0.227 39.399608 0.0077 0.263650 0.000311 3.246 0.001 10.821 0.004 335.396 0.060 49041.457 6.638 29.834 13.487 2455858.90337 4.05 K11Uf0Q +res N 3 1 S mal08 24.03 0.067 r 9.10 31.226 0.002 21 1.4308 0.082 0.118 0.235 0.323 62.430542 0.0106 0.499834 0.000083 22.040 0.001 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14.323 2455858.93329 3.43 K11Uf2P +res N 5 3 S mal27 23.90 0.100 r 8.19 37.500 0.002 21 1.4338 0.093 0.097 0.216 0.307 42.290464 0.0089 0.118938 0.000743 5.141 0.001 21.604 0.003 30.012 1.027 60173.199 221.212 29.398 13.020 2455858.90337 3.41 K11Uf1J +res N 3 2 S mal28 23.80 0.058 r 8.06 37.600 0.001 30 2.1631 0.066 0.113 0.199 0.287 39.578271 0.0138 0.217496 0.000727 10.752 0.001 17.914 0.001 285.455 0.014 39497.528 13.251 29.422 15.045 2455860.76973 3.49 K11Uf0W +cla i -1 -1 I mal29 23.40 0.000 r 7.61 37.892 0.002 26 1.4146 0.071 0.071 0.266 0.197 38.039160 0.0246 0.128766 0.002599 27.787 0.001 21.128 0.000 273.127 0.125 36565.721 81.731 25.411 15.152 2455860.78698 3.52 K11Uf2O +res N 3 2 S mal30 21.87 0.033 r 6.10 37.958 0.001 31 2.2717 0.092 0.075 0.229 0.231 39.307760 0.0187 0.210805 0.001016 12.842 0.001 26.610 0.000 272.045 0.028 38634.445 22.650 29.058 13.136 2455858.90763 3.42 K04V75T +res N 3 2 S mal31 24.00 0.000 r 8.16 38.402 0.001 26 2.3184 0.086 0.079 0.245 0.227 39.520545 0.0133 0.124484 0.001159 3.833 0.000 298.461 0.010 8.437 0.041 38191.667 16.937 27.475 15.512 2455860.77825 3.52 K11Uf0Z +res N 3 2 I mal32 23.77 0.033 r 7.91 38.548 0.001 25 2.0862 0.076 0.080 0.281 0.252 39.600536 0.0056 0.043646 0.000750 14.900 0.001 13.374 0.001 322.525 0.612 43039.790 131.718 26.307 15.687 2455860.78262 3.42 K11Uf1B +res N 4 1 S mal33 24.20 0.100 r 8.34 38.569 0.003 17 1.4228 0.063 0.090 0.131 0.205 75.785556 0.0220 0.491166 0.000149 13.435 0.001 231.961 0.002 160.345 0.495 56178.002 98.469 27.269 16.537 2455860.80517 3.21 K11Uf1P +res N 5 3 S mal34 24.27 0.088 r 8.36 39.189 0.002 16 1.4340 0.086 0.091 0.216 0.263 42.223676 0.0047 0.071898 0.000092 1.974 0.000 308.534 0.043 82.373 2.385 56151.282 572.392 26.861 13.224 2455858.91621 3.26 K11Uf1L +res N 3 2 S mal35 21.50 0.000 r 5.57 39.355 0.001 27 4.1122 0.045 0.096 0.097 0.207 39.512594 0.0040 0.178507 0.000226 13.497 0.000 19.795 0.000 109.099 0.017 75569.660 6.173 26.827 13.695 2455858.91621 3.36 K11Uf0T +cla m -1 -1 I mal36 24.60 0.173 r 8.65 39.507 0.003 12 1.1468 0.090 0.118 0.166 0.311 46.250117 0.0110 0.147643 0.000843 2.956 0.001 252.563 0.024 146.427 2.231 58270.138 519.823 25.905 12.975 2455858.92047 3.26 K11Uf2A +cla m -1 -1 I mal37 24.23 0.133 r 8.27 39.653 0.002 23 1.3793 0.118 0.137 0.275 0.353 42.432680 0.0185 0.098398 0.002359 7.210 0.001 24.163 0.002 315.718 1.041 43456.458 209.011 30.125 13.445 2455858.90337 3.27 K11Uf1X +cla m -1 -1 IH mal38 24.40 0.153 r 8.35 40.339 0.002 27 1.4309 0.123 0.099 0.313 0.249 45.382779 0.0219 0.131928 0.001813 10.729 0.001 231.692 0.002 124.064 1.022 46961.974 225.627 29.765 15.901 2455860.81804 3.36 K11Uf2M +cla m -1 -1 S mal39 23.80 0.058 r 7.74 40.517 0.002 26 1.4723 0.098 0.067 0.230 0.145 43.408021 0.0058 0.070503 0.000850 3.132 0.001 337.472 0.019 32.829 1.774 50639.411 441.022 27.930 14.237 2455858.93329 3.19 K11Uf2C +cla m -1 -1 S mal40 23.13 0.033 r 7.03 40.875 0.002 24 1.4339 0.066 0.064 0.291 0.162 43.048298 0.0116 0.070517 0.001847 7.737 0.001 14.293 0.003 329.394 1.353 43929.543 313.333 27.994 13.942 2455858.93329 3.17 J99RL5U +cla i -1 -1 S mal41 24.47 0.067 r 8.36 40.960 0.004 13 1.2892 0.059 0.075 0.164 0.206 38.960081 0.0183 0.057848 0.002627 20.411 0.002 216.340 0.001 325.615 5.440 93092.918 1343.401 25.278 13.703 2455858.92047 3.13 K11Uf2N +cla m -1 -1 S mal42 22.57 0.033 r 6.43 41.288 0.002 23 1.3795 0.070 0.119 0.191 0.387 44.061145 0.0047 0.063950 0.000495 2.122 0.002 8.325 0.019 34.887 2.643 58648.018 686.860 30.029 13.190 2455858.90337 3.13 K01RE3Z +cla m -1 -1 S mal43 24.07 0.033 r 7.92 41.355 0.002 23 1.4340 0.123 0.079 0.228 0.201 43.362997 0.0132 0.066840 0.002121 4.419 0.001 20.174 0.004 323.075 1.529 43238.873 359.215 29.926 13.229 2455858.90337 3.15 K11Uf1V +cla m -1 -1 S mal44 24.17 0.033 r 8.01 41.372 0.002 22 1.4313 0.077 0.091 0.177 0.246 42.603289 0.0268 0.116416 0.002709 15.118 0.002 21.517 0.001 94.399 0.213 75304.677 12.265 30.145 15.790 2455860.76973 3.17 K11Uf2H +res N 3 2 S mal45 23.07 0.033 r 6.90 41.480 0.001 28 2.2668 0.064 0.061 0.264 0.191 39.212242 0.0272 0.288434 0.001143 15.700 0.001 19.081 0.001 131.877 0.109 77058.855 44.885 29.485 16.301 2455860.81804 3.20 K11Uf1D +cla m -1 -1 I mal46 24.53 0.167 r 8.37 41.526 0.002 20 1.4340 0.090 0.114 0.264 0.299 43.839053 0.0391 0.165471 0.002631 4.529 0.002 18.484 0.005 94.657 0.169 74173.180 14.681 30.075 13.468 2455858.90337 3.28 K11Uf1W +res N 2 1 S mal47 24.57 0.133 r 8.33 41.987 0.001 21 3.9566 0.147 0.080 0.365 0.194 47.693004 0.0084 0.141996 0.000276 10.691 0.000 238.834 0.001 114.086 0.110 46437.643 25.154 26.561 16.561 2455860.80517 3.02 K11Uf1G +cla m -1 -1 S mal48 23.83 0.033 r 7.57 42.436 0.002 33 1.4313 0.082 0.095 0.229 0.306 46.451000 0.0339 0.155030 0.002303 2.496 0.000 303.964 0.028 24.904 0.407 40158.170 58.463 29.832 14.893 2455860.76973 3.07 K11Uf2G +cla m -1 -1 I mal49 23.73 0.033 r 7.41 42.833 0.002 21 1.4395 0.071 0.104 0.170 0.195 43.028360 0.0215 0.083076 0.002884 10.371 0.002 239.455 0.005 60.139 0.104 32305.258 103.291 27.842 16.754 2455860.80951 3.07 K11Uf2L +cla m -1 -1 S mal50 24.30 0.200 r 7.98 42.997 0.002 17 1.4338 0.057 0.071 0.157 0.193 42.030971 0.0066 0.029441 0.001841 29.757 0.002 27.031 0.000 147.942 4.534 94556.742 1254.021 28.820 14.932 2455860.77399 3.12 K11Uf2J +cla m -1 -1 S mal51 23.97 0.088 r 7.64 43.191 0.002 25 1.4423 0.101 0.052 0.245 0.119 44.217924 0.0151 0.064180 0.002442 1.907 0.000 309.431 0.040 154.113 0.723 75286.666 137.994 28.659 13.809 2455858.90763 2.99 K11Uf1Y +cla m -1 -1 S mal52 24.30 0.000 r 7.95 43.301 0.002 24 1.4723 0.105 0.099 0.262 0.256 43.940956 0.0082 0.030894 0.002452 1.694 0.001 357.000 0.029 98.659 2.328 73617.814 599.391 29.882 13.259 2455858.90337 2.99 K11Uf1U +cla m -1 -1 S mal53 23.20 0.000 r 6.74 44.397 0.001 25 4.1122 0.121 0.120 0.259 0.291 45.413690 0.0039 0.052319 0.000331 5.496 0.000 358.348 0.003 100.405 0.214 75027.845 53.039 28.178 14.852 2455858.93329 2.94 K11Uf2D +cla m -1 -1 S mal54 24.27 0.033 r 7.75 44.937 0.005 17 1.2809 0.100 0.105 0.202 0.221 43.495764 0.0186 0.055618 0.005116 15.311 0.002 14.512 0.002 245.796 4.194 19787.907 1227.682 25.362 14.784 2455858.92476 2.99 K11Uf2B +cla m -1 -1 S mal55 24.27 0.033 r 7.74 45.158 0.002 22 1.4504 0.061 0.098 0.124 0.269 45.535456 0.0143 0.053150 0.002964 1.214 0.000 315.356 0.069 352.167 0.320 31494.864 18.823 29.187 13.224 2455858.90763 2.83 K11Uf1Z +cla m -1 -1 S mal56 24.40 0.000 r 7.82 45.576 0.004 12 1.1466 0.080 0.090 0.153 0.227 45.069927 0.0169 0.011888 0.002565 2.146 0.000 313.968 0.066 277.782 41.184 6484.545 12639.352 30.198 14.597 2455858.94181 2.94 K11Uf2F +cla o -1 -1 I mal57 24.13 0.088 r 7.49 46.124 0.003 15 1.4395 0.115 0.103 0.286 0.257 48.080094 0.0726 0.182727 0.003915 17.822 0.002 224.314 0.002 79.714 0.046 33180.331 87.605 28.825 15.946 2455860.81377 2.98 K11Uf2T +cla m -1 -1 I mal58 24.40 0.100 r 7.74 46.661 0.004 16 1.4501 0.093 0.084 0.176 0.184 47.879267 0.0788 0.160826 0.004845 2.606 0.002 5.095 0.021 116.380 0.044 79920.003 123.636 28.917 13.103 2455858.90763 2.81 K11Uf2S +cla m -1 -1 S mal59 23.27 0.033 r 6.44 48.245 0.003 26 1.4339 0.084 0.112 0.221 0.301 43.495625 0.0053 0.111878 0.000549 22.799 0.002 218.117 0.000 5.580 1.448 7508.573 419.189 30.111 14.586 2455858.94181 2.84 K11Uf2E +res N 5 3 S mal60 24.07 0.088 r 7.23 48.408 0.007 12 1.2891 0.063 0.098 0.150 0.265 42.222091 0.0142 0.146728 0.000412 9.385 0.003 11.445 0.006 196.753 3.581 104918.269 986.116 27.424 14.695 2455858.93329 2.76 K11Uf1M +res N 5 2 I mal61 24.53 0.067 r 7.45 51.239 0.004 20 1.4338 0.088 0.132 0.221 0.242 55.668479 0.2748 0.406186 0.005081 6.420 0.002 4.876 0.011 130.185 0.159 79336.444 140.708 28.610 14.909 2455860.77399 2.61 K11Uf1T +res N 3 1 I mal62 23.90 0.000 r 6.75 52.005 0.002 25 1.4396 0.074 0.079 0.150 0.177 62.442250 0.2131 0.404531 0.003525 40.400 0.002 215.504 0.000 263.654 0.018 78060.666 65.762 27.736 15.359 2455860.77825 2.68 K11Uf1Q diff --git a/src/ossssim/Characterizations/OSSOS-MA/OSSOS.pointings b/src/ossssim/Characterizations/OSSOS-MA/OSSOS.pointings new file mode 100644 index 0000000..5a8b248 --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/OSSOS.pointings @@ -0,0 +1,350 @@ +# This is the OSSOS survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# For Megaprime, the 36 CCDs are 2048x4612 with pixels 0.18689x0.18689", so +# assuming a total footprint of 1 sq.deg, the filling factor is 0.9164 +# +# 2013A-E block +# +# From JJ's e-mail on Dec. 2nd, 2014, there were 7 chips out of 756 that had +# a PSF problem, thus the pipeline did not run to the end. All other cases +# had good trans.jmp files and completed correctly. So effective surface +# area is 749/756 = 99.07%, so filling factor is 0.9907*0.9164=0.9079 +# +poly 4 14:15:28.89 -12:32:28.5 2456391.86686 0.9079 500 2013AE.eff +-3.5 -0.434889 +-3.5 2.565111 + 3.5 0.473417 + 3.5 -2.526583 +# +# 2013A-O block +# +# From my own work and from JJ's e-mail from Nov. 30th, 2014, there were 9 +# chips out of 756 which had bad trans.jmp files. So the effective search area +# was 747/756 = 98.81% of the total area, so the filling factor is +# 0.9881*0.9164 = 0.9055 +# +poly 4 15:58:01.35 -12:19:54.2 2456420.95956 0.9055 500 2013AO.eff +-3.5 -0.862333 +-3.5 2.137667 + 3.5 0.915750 + 3.5 -2.084250 +# +# 2013B-L block +# +# From checking the vtags of Lblock_redo, only 20 fields were searched, and out +# of the 720 chips, 1 had problems at step2 which propaged to step3 and +# combine. So effective surface area is 719/720 = 99.86% of the total area, so +# filling factor is 0.9986*0.9164 = 0.9151 +# +# Here we use the 'polygon search' feature. Make sure we remove the 1 +# sq.deg. field that was not searched, at the bottom of the central column. +# +poly 8 00:52:55.81 +03:43:49.1 2456596.72735 0.9151 500 2013BL.eff +-3.5 -2.743222 +-3.5 0.256778 + 3.5 2.743222 + 3.5 -0.256778 + 0.5 -1.322397 + 0.5 -0.322397 +-0.5 -0.677603 +-0.5 -1.677603 +# +# 2014B-H block +# +# From checking the vtags of Hblock, I find only 751 chips successful out of +# 756 (my e-mail to JJ from Nov. 30, 2015). In the same time, JJ find only 2 +# faulty chips. Until I get an answer from him, I'll stick to my findings. +# So effective surface area is 751/756 = 99.34% of the total area, so +# filling factor is 0.9986*0.9164 = 0.9103 +# +# This is using the new feature (as of 2016-03-09) of polygons to describe the +# footprint of the block. +# +poly 4 01:35:14.39 +13:28:25.3 2456952.77017 0.9103 500 2014BH.eff +-3.5 -2.700361 +-3.5 0.299639 + 3.5 2.670528 + 3.5 -0.329472 +# +# 2015A-P block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 2 out of 800 chips failed, so effective area is +# 798/800 = 0.9975 = 99.75% of the total area, so filling factor becomes +# 0.99875*0.9297 = 0.9274. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994446 so the factor is 1./1.005554 +# So the filling factor is 0.9975*0.9297/1.005554 = 0.9223. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*798/1.005554 = 19.89139 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.89139/21.6544 = 0.9186 +# +poly 4 13:30:22.11 -07:47:23.0 2457125.86971 0.9186 500 2015AP.eff +-2.721979 -0.994426 +-2.721979 2.983277 + 2.721979 0.994426 + 2.721979 -2.983277 +# +# 2015A-M block +# +# This is a block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, 0 out of 800 chips failed, so effective area is +# 800/800 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994672 so the factor is 1./1.005328 +# So the filling factor is 1.0*0.9297/1.005328 = 0.9248. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*800/1.005328 = 19.94573 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.94573/21.6544 = 0.9211 +# +poly 4 15:34:41.30 -12:08:36.0 2457163.81831 0.9211 500 2015AM.eff +-2.721979 -0.994426 +-2.721979 2.983277 + 2.721979 0.994426 + 2.721979 -2.983277 +# +# 2015B-S block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995995 so the factor is 1./1.004005 +# So the filling factor is 1.0*0.9297/1.004005 = 0.92599. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004005 = 9.98601 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98601/10.8272 = 0.9223 +# +poly 4 00:30:08.35 +06:00:09.5 2457274.92965 0.9223 500 2015BS.eff +-2.721979 -1.98885125 +-2.721979 0. + 2.721979 1.98885125 + 2.721979 -0. +# +# 2015B-T block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995991 so the factor is 1./1.004009 +# So the filling factor is 1.0*0.9297/1.004009 = 0.9260. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004009 = 9.98597 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98597/10.8272 = 0.9223 +# +poly 4 00:30:08.35 +04:02:04.5 2457273.92965 0.9223 500 2015BT.eff +-2.721979 -1.98885125 +-2.721979 0. + 2.721979 1.98885125 + 2.721979 -0. +# +# 2015B-D block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 320 chips failed, so effective area is +# 320/320 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994686 so the factor is 1./1.005314 +# So the filling factor is 1.0*0.9297/1.005314 = 0.92479. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*320/1.005314 = 7.97840 +# sq.deg. +# +# In the following, the total surface area is 2*1.0887916*(2.3866217+1.5910813) +# = 8.66178 sq.deg. So the final filling factor is effective area / total +# surface area = 7.97840/8.66178 = 0.9211 +# +#poly 4 03:08:30.88 +15:46:36.6 2457333.85377 0.9211 500 2015BD.eff +poly 4 03:12:58.36 +16:16:06.4 2457333.85377 0.9211 500 2015BD.eff +-1.0887916 -2.3866217 +-1.0887916 1.5910813 + 1.0887916 2.3866217 + 1.0887916 -1.5910813 +# +# 2015B-C block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 480 chips failed, so effective area is +# 480/480 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995172 so the factor is 1./1.004828 +# So the filling factor is 1.0*0.9297/1.004828 = 0.92523. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*480/1.004828 = 11.97339 +# sq.deg. +# +# In the following, the total surface area is 2*1.6331874*(2.5855068+1.3921962) +# = 12.99267 sq.deg. So the final filling factor is effective area / total +# surface area = 11.97339/12.99267 = 0.9215 +# +#poly 4 03:19:52.10 +17:00:44.9 2457332.83884 0.9215 500 2015BC.eff +#-1.6331874 -2.5855068 +#-1.6331874 1.3921962 +# 1.6331874 2.5855068 +# 1.6331874 -1.3921962 +poly 4 03:22:09.15 +17:15:44.0 2457332.83884 0.9215 500 2015BC.eff +-1.0887916 -2.3866217 +-1.0887916 1.5910813 + 1.0887916 2.3866217 + 1.0887916 -1.5910813 +poly 4 03:06:18.32 +15:31:56.3 2457332.83884 0.9215 500 2015BC.eff +-0.5443958 -2.1877366 +-0.5443958 1.7899664 + 0.5443958 2.1877366 + 0.5443958 -1.7899664 diff --git a/src/ossssim/Characterizations/OSSOS-MA/README.formats b/src/ossssim/Characterizations/OSSOS-MA/README.formats new file mode 100644 index 0000000..40f4373 --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/README.formats @@ -0,0 +1,119 @@ + +README.formats + +This file explains the format of the survey characterization that +is critical to the operation of the survey simulator. + +The Survey Simulator divides the sky coverage of all observations +into 'blocks' of contiguous rectangular area. The +pointings.list +file lists each such rectangular block, one per line. +Each such line should contain the name of an 'efficiency file' +that is in the same directory. Although rare, different blocks in +the pointing file could share a single efficiency definition. + +-------------------------------------------------------------------------------- + +pointings.list: + +Each line in pointings.list file has the format: + + \ + + +where: + +: width of FOV, in degree +: height of FOV, in degree +: Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +: Declination of pointing, decimal degree or DD:MM:SS[.ss...] +: epoch of pointing, in Julian day (decimal) +: filling factor of that FOV (fraction of FOV occupied by + active pixels) +: observatory code +: name of efficiency file for that pointing + +Lines starting with '#' are ignored and can be used for comments. + +-------------------------------------------------------------------------------- + +Efficiency file: + +The parameters are given using a " = pair, one per line. +Some can only appear after a previous had a specific value +(see below). The list of keys and associated values is as follows + +- rate cut used for detection (the pipeline restrict detection to certain rates + and directions of motion on the sky) +rate_cut= + : Lower rate cut (" arc/hour) + : Upper rate cut (" arc/hour) + : Mean direction of motion (degrees from due West) + : Half-width of direction cone (degrees) + +- magnitude error (the "real" magnitude determined from the absolute magnitude, + phase angle [Bowel formalism] and distance from Sun is further modified by a + "noise" that represents the uncertainty in magnitude determination) +mag_error= *6 + The first 4 parameters define the growth of the uncertainty: + - alpha = log10(mag_er(2)/mag_er(1))/(mag_er(3)-21) + - for mag < mag_er(3), mag_er(1)*10.**(alpha*(mag - 21)) + - for mag > mag_er(3), mag_er(1)*10.**(alpha*(mag_er(3) - 21)) + - (mag - mag_er(3))*mag_er(4) + The last 2 parameters determine the asymmetry of the error + - for mag < mag_er(5), center = 0. + - for mag > mag_er(5), center = (mag - mag_er(5))*mag_er(6) + +- fraction of objects with 1, 2 or 3 photometric measurements to define the + official magnitude +phot_frac= + : fraction of objects with only 1 measurement + : fraction of objects with 2 measurements + : fraction of objects with 3 measurements + +- Tracked fraction (for some survey, not all objects are tracked; some are + missed due to being very faint, others are missed due to leaking out of + recovery coverage, thus the following formula) +track_frac= + Tracked fraction = min(track_max, 1 + (mag - track_mag)*track_slope) + +- Filter used for this survey +filter= + : one of g, r, i, z, u, B, V, R, I + +- Efficiency functions are given for ranges of rates of motion given by the + following keyword (detection efficiency varies with rate of motion, so + efficiency is determined for ranges of rates) +rates= + : minimum rate for range of rates for this efficiency function + : maximum rate for range of rates for this efficiency function + +- Functional form used to define the efficiency +function= + is one of: + : single hyperbolic tangent + : double hyperbolic tangent + : piecewise linear function + : (eff_max-c*(m-21)**2)/(1+exp((m-M_0)/sig)) + : a look-up table + +- Parameters for the efficiency function, depending on the functional form +linear_param= +single_param= +double_param= +square_param= + +- For the look-up table, there will be as many lines as entries in the look-up + table +lookup_param= +lookup_param= + +- The sequence can be repeated + as many times as needed if the efficiency has been determined for several + different rate ranges. + +- Limiting magnitude of the block +mag_lim= + : largest magnitude for a characterized object + +Lines starting with '#' are ignored and can be used for comments. diff --git a/src/ossssim/Characterizations/OSSOS-MA/README.ossosma b/src/ossssim/Characterizations/OSSOS-MA/README.ossosma new file mode 100644 index 0000000..c44007a --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/README.ossosma @@ -0,0 +1,37 @@ + +README.ossosma + +COMBINED SURVEY ANALYSIS + +This subdir contains the COMBINED OSSOS and MA surveys. Mostly this is +the union of the detection lists from the two surveys and the union of all +the block characterizations into a single pointing-list file. + +-------------------------------------------------------------------------------- + +This directory contains the pointing history, efficiency functions for each +block, and the list of detected objects, in two files for OSSOS and MA +(OSSOS-MA.detections and OSSOS-MA.CDS). + +The content of this directory is: + +OSSOS-MA + \---- README.ossosma (this file) Describes content of the directory + \-------- README.format Describes format of a survey "block" + \------- pointings.list List of pointings and times of the + \ survey, often grouped into chunks. + \----- ma1??a.eff Efficiency function for MA block. + \---- 201ySn.eff Efficiency functions for OSSOS blocks, + | where y gives the year (201y), S (a + | single letter) semester, and n the + | block name (eg, E, O, L, H, P, M, S, T, + | D, C) + \--- OSSOS-MA.detections List of objects really detected in + | OSSOS and MA, with their dynamical + | class if known, magnitude at + | detection, rate of motion, H mag, + | and more. + \-- OSSOS-MA.CDS Same as OSSOS-MA.detections, in CDS + format. + +-------------------------------------------------------------------------------- diff --git a/src/ossssim/Characterizations/OSSOS-MA/ma11la.eff b/src/ossssim/Characterizations/OSSOS-MA/ma11la.eff new file mode 100644 index 0000000..e21d2b3 --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/ma11la.eff @@ -0,0 +1,55 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 10.00 -21.050 15.62 +# +mag_error= 0.013 0.17 24.9 0.5 24.2 -0.2 +# +phot_frac= 0.026 0.156 0.818 +# +track_frac= 1.000 24.421 -2.453 +# +filter= r +# +rates= 0.50 2.06 +function= square +square_param= 0.949881315 1.35535756E-02 24.6197796 0.126009449 +# Goodness of fit (reduced chi^2): 1.299 +# Limiting magnitude of the block +mag_lim= 24.62 +# +rates= 2.06 3.72 +function= square +square_param= 0.921203673 1.26445778E-02 24.6113796 0.136990249 +# Goodness of fit (reduced chi^2): 1.423 +# Limiting magnitude of the block +mag_lim= 24.61 +# +rates= 3.72 5.38 +function= square +square_param= 0.901384294 1.02973068E-02 24.5602989 0.146653786 +# Goodness of fit (reduced chi^2): 0.659 +# Limiting magnitude of the block +mag_lim= 24.57 +# +rates= 5.38 6.40 +function= square +square_param= 0.993546128 4.81119640E-02 24.5993443 6.69738501E-02 +# Goodness of fit (reduced chi^2): 1.300 +# Limiting magnitude of the block +mag_lim= 24.42 +# +rates= 6.40 10.00 +function= square +square_param= 0.786008000 1.34810088E-02 24.3750610 0.137408525 +# Goodness of fit (reduced chi^2): 0.796 +# Limiting magnitude of the block +mag_lim= 24.37 +# diff --git a/src/ossssim/Characterizations/OSSOS-MA/ma12ha.eff b/src/ossssim/Characterizations/OSSOS-MA/ma12ha.eff new file mode 100644 index 0000000..ce59f9b --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/ma12ha.eff @@ -0,0 +1,41 @@ +# This is an efficiency file with analytic function +# +# All lines starting with '#' are ignored, so they are used for comments. +# +# The parameters are given using a " = pair, one per line. +# Some can only appear after a previous had a specific value. +# +# See README.format and/or Template.eff for a description of the format of this +# file. +# +rate_cut= 0.50 10.36 -20.655 19.335 +# +mag_error= 0.026 0.17 24.9 0.3 24.3 -0.3 +# +phot_frac= 0.026 0.156 0.818 +# +track_frac= 0.965 24.544 -1.494 +# +filter= r +# +rates= 0.50 1.00 +function= square +square_param= 1.00177896 3.54992263E-02 24.6771965 8.01343620E-02 +# Goodness of fit (reduced chi^2): 1.220 +# Limiting magnitude of the block +mag_lim= 24.59 +# +rates= 1.00 6.00 +function= square +square_param= 0.910572529 1.46200368E-02 24.6077938 0.119519040 +# Goodness of fit (reduced chi^2): 0.847 +# Limiting magnitude of the block +mag_lim= 24.60 +# +rates= 6.00 10.36 +function= square +square_param= 0.881355107 1.36201698E-02 24.4823380 0.129530221 +# Goodness of fit (reduced chi^2): 1.038 +# Limiting magnitude of the block +mag_lim= 24.48 +# diff --git a/src/ossssim/Characterizations/OSSOS-MA/pointings.list b/src/ossssim/Characterizations/OSSOS-MA/pointings.list new file mode 100644 index 0000000..4182b48 --- /dev/null +++ b/src/ossssim/Characterizations/OSSOS-MA/pointings.list @@ -0,0 +1,371 @@ +# This is the OSSOS survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# +# For Megaprime, the 36 CCDs are 2048x4612 with pixels 0.18689x0.18689", so +# assuming a total footprint of 1 sq.deg, the filling factor is 0.9164 +# +# 2013A-E block +# +# From JJ's e-mail on Dec. 2nd, 2014, there were 7 chips out of 756 that had +# a PSF problem, thus the pipeline did not run to the end. All other cases +# had good trans.jmp files and completed correctly. So effective surface +# area is 749/756 = 99.07%, so filling factor is 0.9907*0.9164=0.9079 +# +poly 4 14:15:28.89 -12:32:28.5 2456391.86686 0.9079 500 2013AE.eff +-3.5 -0.434889 +-3.5 2.565111 + 3.5 0.473417 + 3.5 -2.526583 +# +# 2013A-O block +# +# From my own work and from JJ's e-mail from Nov. 30th, 2014, there were 9 +# chips out of 756 which had bad trans.jmp files. So the effective search area +# was 747/756 = 98.81% of the total area, so the filling factor is +# 0.9881*0.9164 = 0.9055 +# +poly 4 15:58:01.35 -12:19:54.2 2456420.95956 0.9055 500 2013AO.eff +-3.5 -0.862333 +-3.5 2.137667 + 3.5 0.915750 + 3.5 -2.084250 +# +# 2013B-L block +# +# From checking the vtags of Lblock_redo, only 20 fields were searched, and out +# of the 720 chips, 1 had problems at step2 which propaged to step3 and +# combine. So effective surface area is 719/720 = 99.86% of the total area, so +# filling factor is 0.9986*0.9164 = 0.9151 +# +# Here we use the 'polygon search' feature. Make sure we remove the 1 +# sq.deg. field that was not searched, at the bottom of the central column. +# +poly 8 00:52:55.81 +03:43:49.1 2456596.72735 0.9151 500 2013BL.eff +-3.5 -2.743222 +-3.5 0.256778 + 3.5 2.743222 + 3.5 -0.256778 + 0.5 -1.322397 + 0.5 -0.322397 +-0.5 -0.677603 +-0.5 -1.677603 +# +# 2014B-H block +# +# From checking the vtags of Hblock, I find only 751 chips successful out of +# 756 (my e-mail to JJ from Nov. 30, 2015). In the same time, JJ find only 2 +# faulty chips. Until I get an answer from him, I'll stick to my findings. +# So effective surface area is 751/756 = 99.34% of the total area, so +# filling factor is 0.9986*0.9164 = 0.9103 +# +# This is using the new feature (as of 2016-03-09) of polygons to describe the +# footprint of the block. +# +poly 4 01:35:14.39 +13:28:25.3 2456952.77017 0.9103 500 2014BH.eff +-3.5 -2.700361 +-3.5 0.299639 + 3.5 2.670528 + 3.5 -0.329472 +# +# 2015A-P block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 2 out of 800 chips failed, so effective area is +# 798/800 = 0.9975 = 99.75% of the total area, so filling factor becomes +# 0.99875*0.9297 = 0.9274. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994446 so the factor is 1./1.005554 +# So the filling factor is 0.9975*0.9297/1.005554 = 0.9223. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*798/1.005554 = 19.89139 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.89139/21.6544 = 0.9186 +# +poly 4 13:30:22.11 -07:47:23.0 2457125.86971 0.9186 500 2015AP.eff +-2.721979 -0.994426 +-2.721979 2.983277 + 2.721979 0.994426 + 2.721979 -2.983277 +# +# 2015A-M block +# +# This is a block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, 0 out of 800 chips failed, so effective area is +# 800/800 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994672 so the factor is 1./1.005328 +# So the filling factor is 1.0*0.9297/1.005328 = 0.9248. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*800/1.005328 = 19.94573 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(2.983277+0.994426) +# = 21.6544 sq.deg. So the final filling factor is effective area / total +# surface area = 19.94573/21.6544 = 0.9211 +# +poly 4 15:34:41.30 -12:08:36.0 2457163.81831 0.9211 500 2015AM.eff +-2.721979 -0.994426 +-2.721979 2.983277 + 2.721979 0.994426 + 2.721979 -2.983277 +# +# 2015B-S block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995995 so the factor is 1./1.004005 +# So the filling factor is 1.0*0.9297/1.004005 = 0.92599. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004005 = 9.98601 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98601/10.8272 = 0.9223 +# +poly 4 00:30:08.35 +06:00:09.5 2457274.92965 0.9223 500 2015BS.eff +-2.721979 -1.98885125 +-2.721979 0. + 2.721979 1.98885125 + 2.721979 -0. +# +# 2015B-T block +# +# This is the first block for which the mosaic includes the ears, making the +# total surface larger than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 400 chips failed, so effective area is +# 400/400 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995991 so the factor is 1./1.004009 +# So the filling factor is 1.0*0.9297/1.004009 = 0.9260. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*400/1.004009 = 9.98597 +# sq.deg. +# +# In the following, the total surface area is 2*2.721979*(1.98885125+0.) +# = 10.8272 sq.deg. So the final filling factor is effective area / total +# surface area = 9.98597/10.8272 = 0.9223 +# +poly 4 00:30:08.35 +04:02:04.5 2457273.92965 0.9223 500 2015BT.eff +-2.721979 -1.98885125 +-2.721979 0. + 2.721979 1.98885125 + 2.721979 -0. +# +# 2015B-D block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 320 chips failed, so effective area is +# 320/320 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 994686 so the factor is 1./1.005314 +# So the filling factor is 1.0*0.9297/1.005314 = 0.92479. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*320/1.005314 = 7.97840 +# sq.deg. +# +# In the following, the total surface area is 2*1.0887916*(2.3866217+1.5910813) +# = 8.66178 sq.deg. So the final filling factor is effective area / total +# surface area = 7.97840/8.66178 = 0.9211 +# +#poly 4 03:08:30.88 +15:46:36.6 2457333.85377 0.9211 500 2015BD.eff +poly 4 03:12:58.36 +16:16:06.4 2457333.85377 0.9211 500 2015BD.eff +-1.0887916 -2.3866217 +-1.0887916 1.5910813 + 1.0887916 2.3866217 + 1.0887916 -1.5910813 +# +# 2015B-C block +# +# For this block the mosaic includes the ears, making the total surface larger +# than 1 sq.deg. +# From reading the plate solution of a several images, JMP defined the +# footprint of the camera. It's given in create_ears() in SurveySubs.f. +# From this footprint, we compute the total area covered 0.99443x0.97918 + +# 0.47773x0.21921 = 0.97373 + 0.10473 = 1.0785 sq.deg. +# +# From the plate solutions, the pixel size is 0.186"x0.1849". So the area +# covered by CCD for each chip is 0.025065 sq.deg., or 1.0026 sq.deg. for the +# full camera. Hence the filling factor is 0.9297 +# +# According to the vtags, number of files and notes on the block blinking wiki, +# 0 out of 480 chips failed, so effective area is +# 480/480 = 1.0 = 100.0% of the total area, so filling factor becomes +# 1.0*0.9297 = 0.9297. +# +# Now, there is a chance there is some overlap between the different frames. +# Actually, it's a known fact as some object(s) got observed twice in the +# discovery run. The overlap is measured using SurfArea.f. +# From counting how many objects are found in multiple pointings, we get the +# effective area as: +# Effective area / Assumed area = 1./(1. + float(n_track-hist(1))/float(n_track)). +# Here, n_track = 1000000 and hist(1) = 995172 so the factor is 1./1.004828 +# So the filling factor is 1.0*0.9297/1.004828 = 0.92523. +# +# This final filling factor is all good if we use the footprint of the 40 CCDs +# with ears. If we use some other polygon, we must first compute the area of +# the said polygon, S_p, and then compare it to the actual effective area of +# all pixels, Sccd x num_ccd x overlap_factor = 0.025065*480/1.004828 = 11.97339 +# sq.deg. +# +# In the following, the total surface area is 2*1.6331874*(2.5855068+1.3921962) +# = 12.99267 sq.deg. So the final filling factor is effective area / total +# surface area = 11.97339/12.99267 = 0.9215 +# +#poly 4 03:19:52.10 +17:00:44.9 2457332.83884 0.9215 500 2015BC.eff +#-1.6331874 -2.5855068 +#-1.6331874 1.3921962 +# 1.6331874 2.5855068 +# 1.6331874 -1.3921962 +poly 4 03:22:09.15 +17:15:44.0 2457332.83884 0.9215 500 2015BC.eff +-1.0887916 -2.3866217 +-1.0887916 1.5910813 + 1.0887916 2.3866217 + 1.0887916 -1.5910813 +poly 4 03:06:18.32 +15:31:56.3 2457332.83884 0.9215 500 2015BC.eff +-0.5443958 -2.1877366 +-0.5443958 1.7899664 + 0.5443958 2.1877366 + 0.5443958 -1.7899664 +# This is a sample survey description file. +# +# All lines starting with '#' are ignored, so they are used for comments +# +# Each data line has the format: +# \ +# +# +# : width of FOV, in degree +# : height of FOV, in degree +# : Right Ascension of pointing, decimal degree or HH:MM:SS[.ss...] +# : Declination of pointing, decimal degree or DD:MM:SS[.ss...] +# : epoch of pointing, in Julian day (decimal) +# : filling factor of that FOV +# : observatory code +# : name of efficiency file for that pointing +# + 4.887 1.990 01:51:08.00 +15:51:48.0 2455860.843750 0.916 500 ma11la.eff + 4.922 1.990 01:51:08.00 +13:54:00.0 2455858.963195 0.912 500 ma11la.eff + 1.993 2.984 01:41:01.70 +28:10:00.0 2456220.904167 0.907 500 ma12ha.eff + 1.993 2.984 01:49:58.30 +28:10:00.0 2456221.947917 0.907 500 ma12ha.eff diff --git a/src/ossssim/Characterizations/__README__.txt b/src/ossssim/Characterizations/__README__.txt new file mode 100644 index 0000000..ae0a160 --- /dev/null +++ b/src/ossssim/Characterizations/__README__.txt @@ -0,0 +1,80 @@ + +ObsSummary README for the OSSOSv11 release + +------------------------------------------------------------------- +Contents + +Directories and files in ObsSummary directory + +All_Surveys subdir The full sample, including all detections from OSSOS, + CFEPS, HiLat and MA. + WARNING: 6 objects from CFEPS have been (blindly, not + targeted) re-observed by OSSOS. These objects appear + only once in All_Surveys.detections file. We have made + the choice to list them as OSSOS detections, with their + detection circumstances (in particular the filter - r - + and the magnitude) at time of OSSOS. The detection + circumstances at time of CFEPS can be found in the + CFEPS/CFEPS.detections file. +All_r_Surveys subdir All detections from OSSOS, CFEPS, HiLat and MA acquired + in MegaPrime r filter. This comprise all OSSOS, MA, + HiLat and the L3h block from CFEPS. In this sub-sample, + there is no duplicate object (object detected in 2 + different surveys). +CFEPS subdir All detections from CFEPS. This includes the objects + detected in CFEPS and re-detected in OSSOS. These + objects are listed here with their CFEPS detection + circumstances. +OSSOS subdir All detections from OSSOS and only OSSOS. +OSSOS-MA subdir All detections from OSSOS and MA. + +Correspondence.list Matches MPC names to Surveys. Human readable format +OSSOSv11ScatterPlots.pdf Plot of uncertainties and orbital elements +README_ObsS_v11.txt this file +Uncharact.detections Orbital elements and classes for Uncharacterised + objects that were tracked outside of the discovery + dark run. Same format as All_Surveys_v11.detections +Uncharact-nt.detections Orbital elements and classes for Uncharacterised and + non-tracked objects. Same format as above. + +Detection files for the various characterized samples can be found in the above +directories. File names are /[_v11].detections and +/[_v11].CDS. As an example, the full sample files are in +All_Surveys as: + +All_Surveys_v11.detections Orbital elements and classes. This is a + space-separated value file, with name of the column + given on the last comment line (starting with #) at the + start of the file. See header of CDS file for a + description of the columns. + Contains OSSOS, CFEPS, HiLat and MA. +All_Surveys_v11.CDS Same as All_Surveys_v11.detections in CDS format + +------------------------------------------------------------------- +File Formats + +-The .detections file gives an averaged magnitude (and band, and uncertainty) + for each object DURING THE DISCOVERY NIGHT'S TRIPLE (this is the only + magnitude that matters for the characterization). The 'surmised' absolute + magnitude (that is, the H_r magnitude surmised using the average m_r and + the discovery geometry) is also given (it has the same error). The dynamical + classification of the objects is given in the first several columns; see the + wiki page and file headers for details. + +------------------------------------------------------------------- +Caveats/clarifications for the v11 release + +- There are 49/37/84/67/147/87/67/55/105/146 characterized objects in + E/O/L/H/P/M/S/T/C/D block, respectively. + The unclassified uo3eXX, uo3oXX, uo3lXX, uo4hXX, uo5pXXX, uo5mXX, uo5sXX, + uo5tXX, uo5cXXX, uo5dXXX objects are not part of the release but can be + obtained by request to coreossos@taos.asiaa.sinica.edu.tw although + they are listed in the file in the top level directory +- Orbital classifications are 'secured' according to SSBN08 nomenclature. + The detections file gives an 'S'=secure or 'I'=insecure rating +- Orbital classifications for less than 10% of the objects is still insecure. +- Note that usage of the CFEPS survey will require the user make choices related + to what they believe the g-r colour distributions are... +- All products for CFEPS, Hilat and MA (abbrevation for the two survey blocks + mal and mah done in Mike Alexandersen's thesis) were previously published, + and are being provided in this release to the OSSOS team for convenience. diff --git a/src/ossssim/Characterizations/__init__.py b/src/ossssim/Characterizations/__init__.py new file mode 100644 index 0000000..621d701 --- /dev/null +++ b/src/ossssim/Characterizations/__init__.py @@ -0,0 +1,8 @@ +import os + +surveys = {} +for _ in os.listdir(__path__[0]): + if _.startswith('_'): + continue + surveys[_]=os.path.join(__path__[0], _) + diff --git a/python/ossssim/Driver.in b/src/ossssim/Driver.in similarity index 100% rename from python/ossssim/Driver.in rename to src/ossssim/Driver.in diff --git a/python/ossssim/__init__.py b/src/ossssim/__init__.py similarity index 79% rename from python/ossssim/__init__.py rename to src/ossssim/__init__.py index 569bae6..0bacb95 100644 --- a/python/ossssim/__init__.py +++ b/src/ossssim/__init__.py @@ -11,5 +11,6 @@ """ from .core import * -from .models import DetectFile, ModelFile, ModelOutputFile +from .models import DetectFile, ModelFile, ModelOutputFile, ModelFileEcsv, ModelFileOld from .ephem import Ephem +from .characterization import * diff --git a/src/ossssim/ad.py b/src/ossssim/ad.py new file mode 100644 index 0000000..87d9c2c --- /dev/null +++ b/src/ossssim/ad.py @@ -0,0 +1,122 @@ +#!/usr/bin/env python +"""Compute the probabilty of the Anderson-Darling statistic +given a model distribution and sample. + +This program uses a bootstrap approach to compute the probability +disrtibution of the A-D statistic for a given model distribution. The +result returned is 1-CDF for the A-D statistic of the sample. Values +of 0.01 reject the hypothesis that the sample is from the model at the +99% confidence level. + +ad.py --help to see command line arguements and usage.""" + +import sys,os,logging +import optparse, re +import numpy + +def ad_bootstrap(s:numpy.array, m:numpy.array, n_bootstraps:int = 1000) -> float: + """See if s is from m via AD using a bootstrap. + + s: sorted ndarray of sample data + m: sorted ndarray of model data + n_bootstraps: number of bootstrap iterations to use (default 1000) + """ + + rng = numpy.random.default_rng() + if m[-1]x).sum())/len(sdf) + return p + +def ad(s:numpy.array, m:numpy.array) -> float: + """Compute A-D for s from m where s and m are sorted arrays""" + S = 0 + n_sample_pts = len(s) + for j in range(n_sample_pts): + s1 = numpy.log(cdf(s[j],m)) + s1 += numpy.log(1-cdf(s[n_sample_pts-1-j],m)) + s1 = (2*(j+1)-1)*s1 + S+=s1 + S /= n_sample_pts + return -n_sample_pts-S + + +def cdf(x:float, y:numpy.array) -> float: + """Given a sorted array of values (y) compute the CDF at value (x)""" + n = len(y) + return (n-(y>x).sum())/n + + +if __name__ == "__main__": + + parser = optparse.OptionParser() + parser.add_option("--col1",action="store", type="int", default=1, + help="Column in model data to act as source, default is 1") + parser.add_option("--col2",action="store", type="int", default=1, + help="Column in observed data to act as source default is 1") + parser.add_option("--nboots",action="store",type="int",default=500, + help="Number of bootstrap iterations") + + parser.add_option("--verbose","-v",action="store_true",help="Provide verbose feedback") + parser.add_option("--debug",action="store_true",help="Provide debugging feedback") + + parser.usage="%prog [options] model.data observations.data " + + (opt, files)=parser.parse_args() + + if len(files) != 2 : + parser.print_help() + sys.exit(0) + +### Configure the error message logging levels + logging.basicConfig() + logger=logging.getLogger() + if opt.verbose: + logger.setLevel(logging.INFO) + if opt.debug: + logger.setLevel(logging.DEBUG) + +### Check that the input files are accessible. + for file in files: + if not os.access(file,os.R_OK): + logger.error("Can't access the file: %s" % (file)) + sys.exit(-1) + +### Open the file, split the lines on white space, load the +### model in to data['model'] and the observations into data['obs'] +### Assumes floating point numbers. + + +### setup a data structure to read the data into, using a loop.. + + order=['model','obs'] + filename={'model': files[0], 'obs': files[1]} + col={'model': opt.col1-1, 'obs': opt.col2-1} + data={'model': [], 'obs': []} + for dataset in order: + lines=open(filename[dataset]) + row=0 + for line in lines: + row+=1 + cols=line.split() + if (len(cols)-1 < col[dataset]): + logger.error("Fewer than %d colums in file %s at row %d: skipping row" % (col[dataset],filename[dataset],row)) + continue + if not re.match("^\d*(.(\d*))?$",cols[col[dataset]]): + logger.error("skipping row %d of file %s: column %d contains bad values" % (row,filename[dataset],col[dataset])) + continue + try: + data[dataset].append(float(cols[col[dataset]].strip())) + except: + logger.error("Failed trying convert %s to float (skipping: file %s, row %d)" %(cols[col[dataset]],filename[dataset],row),exc_info=1) + continue + logger.info("Read %d rows from column %d of file %s" % (len(data[dataset]),col[dataset],filename[dataset])) + + print(ad_bootstrap(data['obs'],data['model'],opt.nboots)) + + + diff --git a/src/ossssim/characterization.py b/src/ossssim/characterization.py new file mode 100644 index 0000000..dba9206 --- /dev/null +++ b/src/ossssim/characterization.py @@ -0,0 +1,312 @@ +from pydantic import BaseModel, PositiveFloat, Field, model_validator +from typing import List, Optional, Tuple, Annotated, ClassVar +from typing_extensions import Self +import numpy as np + +EffMax = Annotated[float, Field(ge=0.0, le=1.0)] +EffSig = Annotated[float, Field(ge=0.0, le=4.0)] +EffM0 = Annotated[float, Field(ge=20.0, le=31.0)] + + +class CharacterizationParameter(BaseModel, validate_assignment=True): + """ + Base class for all efficiency file parameters + """ + name: ClassVar[str] = 'base' + + def __str__(self): + values = [ self.__dict__.get(key, None) for key in self.eff_file_format_order ] + s = " ".join([ type(value)==str and f"{value}" or f"{value:.2f}" for value in values ]) + return f"{self.name}= {s}" + + @classmethod + def from_string(cls, line: str) -> Self: + """ + Create a parameter object from a string + """ + keys = cls.eff_file_format_order + values = line.split('=')[1].strip().split() + return cls(**{key: value for key, value in zip(keys, values)}) + + @property + def eff_file_format_order(self) -> List[str]: + """ + Return list of parameter names in order needed for .eff file format + """ + return self.__pydantic_fields__.keys() + + +class Bandpass(CharacterizationParameter): + name: ClassVar[str] = 'filter' + Bandpass: str = Field(default='r', pattern='[ugriz]') + + +class RateCut(CharacterizationParameter): + # The rate cut is defined by a minimum and maximum rate + # The rate is defined in arcseconds per hour + name: ClassVar[str] = 'rate_cut' + rate_min: PositiveFloat = Field(ge=0.0) + rate_max: PositiveFloat = Field(ge=0.0) + + @model_validator(mode='after') + def check_rate(self) -> Self: + """ + Check that rate_min is less than rate_max + """ + if self.rate_min >= self.rate_max: + raise ValueError('rate_max must be greater than rate_min') + return self + + @property + def description(self) -> List[str]: + """ + Return a string description of the rate cut + """ + return ["Rate and Angle boundaries used when searching.", + "Rates in arcseconds per hour. Angles in degrees."] + + +class PhotFraction(CharacterizationParameter): + # The fraction of objects with 1, 2 or 3 photometric measurements + # use to determine the official magnitude + name : ClassVar[str] = 'phot_frac' + frac_one: float = Field(ge=0.0, le=1.0) + frac_two: float = Field(ge=0.0, le=1.0) + frac_three: float = Field(ge=0.0, le=1.0) + + @model_validator(mode='after') + def check_phot_frac(self) -> Self: + """ + Check that the sum of the photometric fractions is 1 + """ + if self.frac_one + self.frac_two + self.frac_three != 1.0: + raise ValueError('The sum of the photometric fractions must be 1') + return self + + @property + def description(self) -> List[str]: + """ + Return a string description of the photometric fractions + """ + return ["Number of observagtions used to determine the magnitude.", + "frac_one = fraction of objects with 1 photometric measurement", + "frac_two = fraction of objects with 2 photometric measurements", + "frac_three = fraction of objects with 3 photometric measurements", + "frac_one + frac_two + frac_three = 1.0", + "frac_one, frac_two, frac_three >= 0.0"] + + +class TrackingFraction(CharacterizationParameter): + """ + Fraction of detections that were tracked as a function of magnitude., + peak = peak value of the tracking fraction, + Rc = for objects objects brighter than Rc use peak, + slope = traking fraction delines with linear slope until reaching 0, + + Tracking fraction is 0 at Rc + slope*[R-Rc], + peak >= 0.0, Rc >= 22.0, slope <= 0.0 + """ + name: ClassVar[str] = 'track_frac' + peak: float = Field(1.0, ge=0.0, le=1.0) + Rc: float = Field(24.0, ge=22.0, le=31.0) + slope: float = Field(-5, ge=-10.0, le=0.0) # starting at Rc drop from peak to 0 with slope + + @property + def description(self) -> List[str]: + """ + Return a string description of the tracking fraction + """ + return [] + + +class MagError(CharacterizationParameter): + # The magnitude error is defined by a set of parameters + # that are used to define the growth of the uncertainty + name: ClassVar[str] = 'mag_error' + magerr_bright: float = 0.01 # magerr for mag < 21 + magerr_slope: float = 0.2 # magerr slope for 21 < mag < mag_mid + mag_mid: float = 24.0 # range until which the magerr slope is defined + magerr_faint_slope: float = 0.5 # slope on grown of magerr for mag > mag_mid + mag_faint: float = 24.2 # mag to start the faint magerr slope + magerr_bias: float = -0.2 # bias for mag > mag_faint + + def __call__(self, mag) -> np.ndarray: + """ + Simulate the magnitude error as a function of input magnitude. + This method calculates the magnitude error (`merr`) based on the input magnitude (`mag`) + and the object's internal parameters. It applies different error models depending on + the brightness of the input magnitude and introduces random scatter and bias adjustments. + Parameters: + ----------- + mag : np.ndarray + The input magnitude(s) for which the uncertainty estimate is needed. + Returns: + -------- + np.ndarray + The simulated magnitude error for the input magnitudes. + """ + + mag_th = mag + magerr_bright = self.magerr_bright + magerr_mid = self.magerr_bright*10.0**(self.magerr_slope*(mag_th -21.0)) + magerr_faint = self.magerr_bright*10.0**(self.magerr_slope*(self.mag_mid-21.0)) - (mag_th - self.mag_mid)*self.magerr_faint_slope + magerr_bias = self.magerr_bias + magerr_faint[magerr_faint < 0] = 0 + + tmp = np.random.random_sample(len(mag_th)) + A = np.sqrt(6.0)*(np.sqrt(2*tmp) - 1) + B = np.sqrt(6.0)*(1 - np.sqrt(2*(1-tmp))) + tmp[tmp <= 0.5] = A[tmp <= 0.5] + tmp[tmp > 0.5] = B[tmp > 0.5] + + magerr = magerr_bright*(mag <= 21.0) + magerr_mid*((mag > 21.0) & ( mag <= self.mag_mid)) + magerr_faint*(mag > self.mag_mid) + # the bias slope is defined for the mag after the random scatter is defined. + _mag = mag_th + magerr*tmp + _mag[mag_th > self.mag_faint] += (_mag[mag_th > magerr_faint] - self.mag_faint)*self.magerr_bias + return mag-_mag + + +class LinearParam(CharacterizationParameter): + """ + LinearParam class to define the parameters for the linear function + + :math:`efficiency(m) = A * (m - R_1) / (R_2 - R_1)` + where :math:`A` is the efficiency at :math:`m = R_1`, and :math:`R_1` and + :math:`R_2` are the two points where the efficiency is defined. The + efficiency is 0 at :math:`m = R_2` and :math:`A` at :math:`m = R_1`. + The efficiency is defined as: + .. math:: + \begin{eqnarray} + A & {\rm if} & m < R_1 \\ + \frac{(m - R_1) A}{R_2 - R_1} & {\rm if} & R_1 \le m < R_2 \\ + 0 & {\rm if} & m \ge R_2 + \end{eqnarray} + """ + # The parameters are defined as a list of floats + name: ClassVar[str] = 'linear_param' + A: EffMax = 1.0 + R_1: EffM0 = 24.0 + R_2: EffM0 = 26.0 + + +class DoubleTanhParam(CharacterizationParameter): + """ + DoubleTanh class to define the parameters for the double tanh function + + :math:`efficiency(m) = A * (tanh((m - R_1)/w_1) + tanh((R_2 - m)/w_2))` + where :math:`A` is the efficiency at :math:`m = R_1`, and :math:`R_1` and + :math:`R_2` are the two points where the efficiency is defined. The + efficiency is 0 at :math:`m = R_2` and :math:`A` at :math:`m = R_1`. + + """ + # The parameters are defined as a list of floats + name: ClassVar[str] = 'double_param' + A: EffMax = 1.0 + M_0: EffM0 = 24.0 + w_1: EffSig = 1.0 + w_2: EffSig = 0.5 + + +class SquareParam(CharacterizationParameter): + """ + SquareEff class to define the parameters for the square function + + (eff_max - c * (R-21.0)^2) / (1. + exph((R-M_0)/sig)) + """ + # The parameters are defined as a list of floats + name: ClassVar[str] = 'square_param' + eff_max: EffMax = 1.0 + c: EffSig = 0.05 + M_0: EffM0 = 24.0 + sig: EffSig = 0.5 + + +class LookupParam(CharacterizationParameter): + """ + LookupEff class to define the parameters for the lookup function + """ + name: ClassVar[str] = 'lookup_param' + # The parameters are defined as a list of floats + mag: float + eff: float + + +class Function(CharacterizationParameter): + name: ClassVar[str] = 'function' + function: str = Field(default='double') + + +class Rates(CharacterizationParameter): + """ + RateEfficiency class to define the detection efficiency at a particular magnitude given the rate of motion + """ + # The efficiency is defined over rate ranges + name: ClassVar[str] = 'rates' + rate_min: PositiveFloat + rate_max: PositiveFloat + + @model_validator(mode='after') + def check_rate(self) -> Self: + """ + Check that rate_min is less than rate_max + """ + if self.rate_min >= self.rate_max: + raise ValueError('rate_max must be greater than rate_min') + return self + + +class MagLim(CharacterizationParameter): + """ + MagLim class to define the limiting magnitude of the block + """ + name: ClassVar[str] = 'mag_lim' + mag_lim: EffM0 = Field(default=24.0, ge=20.0, le=31.0) + # The limiting magnitude is defined as a float + + +class ParamFactory(object): + """ + Class to define the param record for efficiency function + """ + + def __init__(self, base_class=CharacterizationParameter): + self._registry = { } + _ = [ self.register(cls.name, cls) for cls in base_class.__subclasses__() ] + + def register(self, name: str, cls: type): + self._registry[name] = cls + + def __call__(self, name: str): + return self._registry[name] + + +class Characterization(BaseModel): + """ + SearchRates class to define the search rates for a given efficiency file + """ + components: List[CharacterizationParameter] + + @classmethod + def from_eff_file(cls, filename: str) -> Self: + """ + Create a SearchRates object from a string + """ + with open(filename, 'r') as fojb: + lines = fojb.readlines() + # Remove comments and empty lines + lines = [line for line in lines if not line.startswith('#') and line.strip() != ''] + components = [] + for line in lines: + component = line.split('=')[0].strip() + components.append(ParamFactory(component).from_string(line)) + return cls(components=components) + + def __str__(self): + """ + String representation of the SearchRates class + """ + value = "" + for component in self.components: + value += f"{component}\n" + return value + diff --git a/src/ossssim/color.py b/src/ossssim/color.py new file mode 100644 index 0000000..00b3b9d --- /dev/null +++ b/src/ossssim/color.py @@ -0,0 +1,150 @@ +from __future__ import annotations +import numpy +from astropy import units + + +class PhotSpec: + """ + Represent the spectrum of the objects as a set of colors. + + Historically the colours were in a list with the following order: + + Array of colors (10*R8) + colors(1) : g-x + colors(2) : r-x + colors(3) : i-x + colors(4) : z-x + colors(5) : u-x + colors(6) : V-x + colors(7) : B-x + colors(8) : R-x + colors(9) : I-x + + """ + OLD_BAND_ORDER = ['g', 'r', 'i', 'z', 'u', 'V', 'B', 'R', 'I'] + + COLORS = dict([( + 'default', dict([('g-g', 0.0 * units.mag), + ('r-g', -0.7 * units.mag), + ('i-g', -1.2 * units.mag), + ('z-g', -1.7 * units.mag), + ('u-g', +0.3 * units.mag), + ('V-g', +0.5 * units.mag), + ('B-g', +0.1 * units.mag), + ('R-g', -0.8 * units.mag), + ('I-g', -1.2 * units.mag), + ('w-g', -0.8 * units.mag), + ('J-g', -1.5 * units.mag), + ('H-g', -1.6 * units.mag)])), + ('implanted', dict([('g-g', 0.0 * units.mag), + ('r-g', -0.7 * units.mag), + ('i-g', -1.2 * units.mag), + ('z-g', -1.7 * units.mag), + ('u-g', +0.3 * units.mag), + ('V-g', +0.5 * units.mag), + ('B-g', +0.1 * units.mag), + ('R-g', -0.8 * units.mag), + ('I-g', -1.2 * units.mag), + ('w-g', -0.8 * units.mag), + ('J-g', -1.5 * units.mag), + ('H-g', -1.6 * units.mag)])), + ('cold', dict([('g-g', 0.0 * units.mag), + ('r-g', -0.7 * units.mag), + ('i-g', -1.2 * units.mag), + ('z-g', -1.7 * units.mag), + ('u-g', +0.3 * units.mag), + ('V-g', +0.5 * units.mag), + ('B-g', +0.1 * units.mag), + ('R-g', -0.8 * units.mag), + ('I-g', -1.2 * units.mag), + ('w-g', -0.8 * units.mag), + ('J-g', -1.5 * units.mag), + ('H-g', -1.6 * units.mag)]))]) + + def __init__(self, colors=None): + if colors is None: + colors = PhotSpec.COLORS + self.colors = colors + + @property + def spectral_groups(self) -> list: + return list(self.colors) + + def orbital_to_spectral_group(self, orbital_group) -> str: + """ + Find the color component that is the best match for the given orbital component. + """ + spectral_group = 'default' + list_of_matching_spectral_groups = numpy.arange(len(self.spectral_groups))[[x in orbital_group + for x in self.spectral_groups]] + if len(list_of_matching_spectral_groups) > 0: + spectral_group = self.spectral_groups[list_of_matching_spectral_groups[0]] + return spectral_group + + def __repr__(self): + return str(self.colors) + + def __call__(self, orbital_group, model_band) -> dict: + """ + Find the colour component that is the best match for the given component. + """ + return self.transform_spectral_group_to_model_band(self.orbital_to_spectral_group(orbital_group), model_band) + + def transform_spectral_group_to_model_band(self, spectral_group, model_band): + """ + Set the base bandpass for specphot dictionary of colors + """ + band_ratios = list(self.colors[spectral_group]) + specphot = {} + for band_ratio in band_ratios: + this_band, base_band = band_ratio.split('-') + this_color = self.colors[spectral_group][band_ratio] + offset_color = self.colors[spectral_group][f"{model_band}-{base_band}"] + specphot[f"{this_band}-{model_band}"] = this_color - offset_color + return specphot + + def colors_list(self, orbital_group: str, model_band: str) -> numpy.array: + """ + Return the list of colors for the given orbital group where the index of the color value in the list + is ascii code of the first character of the band-ratio of the color. + + This is used to create the list of colors that is passed into the Fortran component of SSim. + """ + spec_phot_list = numpy.zeros(ord('z')-ord('A')+2) * units.mag + colors = self.transform_spectral_group_to_model_band(self.orbital_to_spectral_group(orbital_group), model_band) + for band_ratio in colors: + bandpass = band_ratio.split('-')[0] + if not 0 <= ord(bandpass) < 128: + raise ValueError(f"Bandpass {bandpass} is out of range a-z, A-Z, 0-9") + spec_phot_list[ord(bandpass) - ord('A') + 1] = colors[band_ratio] + return list(spec_phot_list.to('mag').value) + + @classmethod + def from_list(cls, colors_list: numpy.array, model_band: str): + """ + Return the dictionary of colors for the given list of colors. In previous versions of SSim files we stared the + list of colours rather than the dictionary. This method is used to convert the list of colors to the dictionary + + the list index is the ascii code of the first character of the band-ratio of the color. + """ + spec_phot = {} + for idx, color in enumerate(colors_list): + if color != 0: + band_ratio = f"{chr(idx-1)}-{model_band}" + spec_phot[band_ratio] = color + return cls(colors={'default': spec_phot}) + + @classmethod + def from_old_style_list(cls, colors_list): + """ + In previous model files the list of colors was stored as a list of floats and the order of the list + determined which band the list element referred to. The default COLORS object is in this historic ordering. + + We pick the smallest absolute color as the base band, yes it might not be zero, + but what other choice can we use? + """ + base_band_idx = numpy.argmin(numpy.fabs(colors_list)) + spec_phot = {} + for idx, color in enumerate(colors_list): + spec_phot[f"{cls.OLD_BAND_ORDER[idx]}-{cls.OLD_BAND_ORDER[base_band_idx]}"] = color + return cls(colors={'default': spec_phot}) diff --git a/src/ossssim/core.py b/src/ossssim/core.py new file mode 100644 index 0000000..ea95f54 --- /dev/null +++ b/src/ossssim/core.py @@ -0,0 +1,252 @@ +""" +The OSSOS Survey Simulator module. This is front-end for the OSSSim. The primary OSSSim is writen in f95. +The OSSOS Survey Simulator module. This is front-end for the OSSSim. The primary OSSSim is writen in f95. +""" +import logging +from astropy import units as u +from astropy.units import Quantity +from astropy.table import Row +from astropy.time import Time + +from .color import PhotSpec +import ossssimlib +import rebound +import os +import numpy +from . import definitions +T_ORB_M_UNITS = definitions.T_ORB_M_UNITS + + +class Cartesian(object): + """ + A class to provide the cartesian state vector of a set of objects. + """ + def __init__(self, epoch=definitions.Neptune['Epoch']): + self.epoch = epoch + self.rebound_archive = f"Rebound_Archive{epoch.jd}.bin" + self.initialize_sim() + + def _make_rebound_archive_file(self): + _sim = rebound.Simulation() + _sim.add("Sun", date=self.epoch.to_datetime()) + _sim.add("Jupiter", date=self.epoch.to_datetime()) + _sim.add("Saturn", date=self.epoch.to_datetime()) + _sim.add("Uranus", date=self.epoch.to_datetime()) + _sim.add("Neptune", date=self.epoch.to_datetime()) + _sim.move_to_com() + _sim.save_to_file(self.rebound_archive) + del _sim + + def initialize_sim(self): + """ + Start/open a rebound Simulation object used to compute the cartesian locations of the particles in this model. + """ + if not os.access(self.rebound_archive, os.F_OK): + self._make_rebound_archive_file() + return rebound.Simulation(self.rebound_archive) + + def __call__(self, **kwargs) -> dict: + """ + Provide the state vector of the orbits at Mt or M if Mt is not provided. + + + Returns: + dictionary of x/y/z/vx/vy/vz + """ + sim = self.initialize_sim() + if "rows" not in kwargs: + return self.single_row(**kwargs) + + rows = kwargs['rows'] + M = 'Mt' in rows and 'Mt' or 'M' + for idx in range(len(rows['a'])): + sim.add(a=rows['a'][idx].to('au').value, + e=rows['e'][idx], + inc=rows['inc'][idx].to('rad').value, + Omega=rows['node'][idx].to('rad').value, + omega=rows['peri'][idx].to('rad').value, + M=rows[M][idx].to('rad').value, + ) + + for s in ['x', 'y', 'z', 'vx', 'vy', 'vz']: + rows[s] = [p.__getattribute__(s) * definitions.column_unit[s] for p in sim.particles[5:]] + return rows + + def single_row(self, **kwargs): + """ + Provide the state vector of the orbits at Mt or M if Mt is not provided. + + Returns: + dictionary of x/y/z/vx/vy/vz + """ + sim = self.initialize_sim() + sim.add(a=kwargs['a'].to('au').value, + e=kwargs['e'], + inc=kwargs['inc'].to('rad').value, + Omega=kwargs['node'].to('rad').value, + omega=kwargs['peri'].to('rad').value, + M=kwargs.get('Mt', kwargs.get('M')).to('rad').value + ) + cartesian = {} + for s in ['x', 'y', 'z']: + cartesian[s] = sim.particles[-1].__getattribute__(s) * u.au + for s in ['vx', 'vy', 'vz']: + cartesian[s] = sim.particles[-1].__getattribute__(s) * (2 * numpy.pi) * u.au / u.year + return cartesian + + +class OSSSSim: + """ + Outer Solar System Survey Simulator. + + This class simulates the process of observing a model of the solar system using a set of characterized observations. + """ + + def __init__(self, characterization_directory, seed): + """ + Args: + characterization_directory (str): the path to survey characterization to be used. + + Format of the characterization_directory is described at https://github.com/OSSOS/SurveySimulator/tree/master/Surveys + + """ + + self.characterization_directory = characterization_directory + self.cartesian = Cartesian(epoch=definitions.Neptune['Epoch']) + self.seed = seed + ossssimlib.surveysub.reset_simulator() + + + def simulate(self, row: dict, colors: PhotSpec, model_band, seed=None, epoch=None, debug=False) -> dict: + """ + Pass the target elements to detos1 and determine if this target would be detected. + + Args: + row (Row or dict): elements of the target to simulate + colors (PhotSpec): colors of the target index by 'g-x' etc, see below. + model_band (str): a single letter designator of the bandpass that the H values are provided in. + seed (int): a seed to pass to the fortran code to allow reproducible simulations + epoch (Quantity or float or Time): JD of elements, can also be provided for each row sent to simulate + debug (bool): if True, have Fortran detos routine create a log of detection process. + + Returns: + Row or dict: the target elements/values at time of simulated detection. + + row should have values for a, e, inc, node, peri, M, H, [epoch] + can, optionally, also define: gb, phase, period, amplitude + + the result row has, in addition to above, the following items: + + flag: 0 - not detected, 1 - detected, 2 - tracked, 3 - characterized and lost, 4 - tacked and characterised + + When comparing to a detected sample you likely want to only use those with flag == 4 + + following are values at time of detection, None if not detected + + RA: RA of target + + DEC: DEC of target + + d_ra: rate of RA sky motion + + d_dec: rate of DEC sky motion + + delta: distance from Earth + + r: distance from Sun + + m_int: intrinsic magnitude in filter of target H (ie. the model filter) + + m_rand: magnitude at detection, includes scatter due to flux measurement uncertainty (ie. the survey filter) + + h_rand: inferred absolute magnitude based on m_rand and detection circumstances + + eff: the detection field's efficiency of detection for a source of m_rand + + M: the mean anomaly at detection + + Survey: a string indicating which field detected the target + + The colors list declares the color of the KBO in multiple filters. The value of model_band_pass is + used to transform the color dictionary into colors in the bandpass of the model. + + A default light_curve_params dictionary is used if target provided to simulate doesn't have any, set in + ossssim.definitions.LIGHT_CURVE_PARAMS + """ + + if seed is not None: + logging.warning('seed is now set in the constructor. ignored here') + + # pack the orbit into a t_orb_m object to pass to fortran module. + o_m = ossssimlib.datadec.t_orb_m() + row = dict(row) + for colname in row: + if hasattr(o_m, colname.lower()): + if isinstance(row[colname], Quantity): + value = row[colname].to(T_ORB_M_UNITS[colname]).value + else: + value = row[colname] + setattr(o_m, colname.lower(), value) + + # attempt to detect this object + color_offset_array = colors.colors_list(row['comp'], model_band) + if 'epoch' in row.keys(): + epoch_jd = row['epoch'] + else: + epoch_jd = epoch + if isinstance(epoch_jd, Quantity): + epoch_jd = epoch_jd.to(u.day).value + if isinstance(epoch_jd, Time): + epoch_jd = epoch_jd.jd + gb = 'gb' in row.keys() and row['gb'].to(u.mag).value or definitions.LIGHT_CURVE_PARAMS['gb'].to(u.mag).value + phase = 'phase' in row.keys() and row['phase'].to(u.radian).value or definitions.LIGHT_CURVE_PARAMS['phase'].to(u.radian).value + period = 'period' in row.keys() and row['period'].to(u.day).value or definitions.LIGHT_CURVE_PARAMS['period'].to(u.day).value + amplitude = 'amplitude' in row.keys() and row.get('amplitude').to(u.mag).value or definitions.LIGHT_CURVE_PARAMS['amplitude'].to(u.mag).value + H = 'H' in row.keys() and row['H'].to(u.mag).value or ('h' in row.keys() and row['h'].to(u.mag).value or None) + if H is None: + raise ValueError("H or h must be provided to simulate") + + row['flag'], row['RA'], row['DEC'], row['d_ra'], row['d_dec'], row['r'], row['delta'], \ + row['m_int'], row['m_rand'], row['eff'], isur, row['Mt'], jdayp, ic, row['Survey'], \ + row['h_rand'], ierr = \ + ossssimlib.surveysub.detos1(o_m, + epoch_jd, + H, + color_offset_array, + gb, + phase, + period, + amplitude, + self.characterization_directory, + self.seed, + debug) + if ierr != 0: + raise IOError(f"SSim failed with error code: {ierr}") + row['j'] = row.get('j', 0) + row['k'] = row.get('k', 0) + row['delta'] *= u.au + row['r'] *= u.au + row['m_int'] *= u.mag + row['m_rand'] *= u.mag + row['h_rand'] *= u.mag + # ic gives the filter that the object was 'detected' in, + # this allows us to determine the color of target + if ic > 0: + ic = ic + ord('A') - 1 + row['band'] = chr(ic) + row['color'] = color_offset_array[ic-ord('A')+1] * u.mag + else: + row['band'] = '' + row['color'] = 0*u.mag + row['q'] = row['a'] * (1 - row['e']) + row['Mt'] *= u.rad + row['RA'] *= u.rad + row['DEC'] *= u.rad + row['Survey'] = row['Survey'].decode('utf-8') + if row['flag'] > 0: + row.update(self.cartesian(**row)) + numpy.ma.array(row, mask=False) + + # m_int and h are in "x" band (filter of object creation) + # m_rand and h_rand are in discovery filter + return row diff --git a/src/ossssim/definitions.py b/src/ossssim/definitions.py new file mode 100644 index 0000000..35cc5c1 --- /dev/null +++ b/src/ossssim/definitions.py @@ -0,0 +1,186 @@ +""" +Define various default parameters and units. +""" +from collections import OrderedDict + +import numpy +from astropy import units +from astropy.time import Time + +# default lightcurve parameters, appropriate for typical TNO +LIGHT_CURVE_PARAMS = { + 'phase': 0.0 * units.rad, + 'period': 0.0 * units.hour, + 'gb': -0.12 * units.mag, + 'amplitude': 0.0 * units.mag, +} + +u = units + +DEFAULT_SEED = 123456789 +H_MIN = 1 +H_MAX = 9 +DEFAULT_SIZE = 1000 +DEFAULT_MODEL_BAND = 'r' + +# these are the units that the SurveySubF95 module (ie the fortran code) expects elements to be in. +T_ORB_M_UNITS = {'a': u.au, + 'e': u.dimensionless_unscaled, + 'inc': u.radian, + 'node': u.radian, + 'Node': u.radian, + 'peri': u.radian, + 'M': u.radian, + 'epoch': u.day, + 'x': u.au, + 'y': u.au, + 'z': u.au, + 'vx': u.au/u.year, + 'vy': u.au/u.year, + 'vz': u.au/u.year + } + + + +# values here are from the CFEPS L4j block +# 0.025 is the minimum uncertainty +# 0.272 is the uncertainty at 24.3 +# 0.2 is the slope of mag getting brighter faintward of 23.8 +# -0.2 is the slope of mag getting fainter faintward of 23.8 +MAG_ERR_PARAMS = [0.025, 0.272, 24.3, 0.2, 23.8, -0.2] + + +COLUMN_MAP = {'i': 'inc'} + + +column_description = { + 'a': 'semi-major axis', + 'e': 'eccentricity', + 'inc': 'inclination', + 'q': 'perihelion distance', + 'r': 'distance from sun', + 'M': 'mean anomaly at epoch of model', + 'node': 'longitude of ascending node', + 'peri': 'argument of perihelion', + 'Mt': 'Mean anomaly at Epoch of detection', + 'm_rand': 'magnitude in survey filter band sampled from uncertainty range', + 'h_rand': 'H magnitude in survey filter band sampled from uncertainty range', + 'color': 'model color of model object', + 'flag': '0==not detected, 1==detected, 2==tracked', + 'delta': 'distance from observer at detection', + 'm_int': 'intrinsic magnitude in filter band of the model', + 'h': 'absolute magnitude in filter band of the model', + 'H': 'absolute magnitude in filter band of the model', + 'eff': 'detection efficiency of field detected in', + 'RA': 'right ascension at detection', + 'DEC': 'declination at detection', + 'Survey': 'name of survey that detected object', + 'comp': 'component of orbital population model object is from', + 'dist': 'distance from observer', + 'j': 'j component of Neptune j:k exterior resonance', + 'k': 'k component of Neptune j:k exterior resonance', + 'phi': 'phase angle at detection', + 'resamp': 'amplitude of resonance libration', + 'Name': 'name of object', + 'n': 'mean motion', + 'Q': 'aphelion distance', + 'P': 'orbital period', + 'epoch': 'time at detection', + 'Epoch': 'time at detection', + 'x': 'Heliocentric x position at epoch of detection', + 'y': 'Heliocentric y position at epoch of detection', + 'z': 'Heliocentric z position at epoch of detection', + 'vx': 'Heliocentric x velocity at epoch of detection', + 'vy': 'Heliocentric y velocity at epoch of detection', + 'vz': 'Heliocentric z velocity at epoch of detection', + 'delta_v': 'velocity difference between object and observer', + 'dt': 'time between detection and epoch of orbit', + 'band': 'Bandpass of survey the object was detected in' +} + +column_unit = { + 'a': units.au, + 'e': None, + 'inc': units.degree, + 'q': units.au, + 'r': units.au, + 'M': units.degree, + 'node': units.degree, + 'peri': units.degree, + 'Mt': units.degree, + 'm_rand': units.mag, + 'h_rand': units.mag, + 'color': units.mag, + 'flag': None, + 'delta': units.au, + 'm_int': units.mag, + 'h': units.mag, + 'H': units.mag, + 'eff': None, + 'RA': units.deg, + 'DEC': units.deg, + 'Survey': None, + 'comp': None, + 'dist': units.au, + 'j': None, + 'k': None, + 'phi': units.deg, + 'resamp': units.deg, + 'Name': None, + 'n': None, + 'Q': units.au, + 'P': units.year, + 'epoch': units.day, + 'Epoch': units.day, + 'x': u.au, + 'y': u.au, + 'z': u.au, + 'vx': u.au / u.year, + 'vy': u.au / u.year, + 'vz': u.au / u.year, + 'delta_v': u.meter / u.second, + 'dt': u.year, + 'band': None, +} + +observables = ['RA', 'DEC', 'd_ra', 'd_dec', 'r', 'delta', 'm_int', 'Survey', 'eff', + 'm_rand', 'h_rand', 'Mt', 'h_rand', 'x', 'y', 'z', 'vx', 'vy', 'vz', 'band', 'color'] + +COLUMN_WIDTH = 14 + +column_format = { + 'flag': f'{COLUMN_WIDTH}d', + 'Survey': f'{COLUMN_WIDTH}s', + 'Comments': f'{COLUMN_WIDTH}s', + 'comp': f'{COLUMN_WIDTH}s', + 'RA': f'>{COLUMN_WIDTH}.5f', + 'DEC': f'>{COLUMN_WIDTH}.4f', + 'j': f'{COLUMN_WIDTH}', + 'k': f'{COLUMN_WIDTH}', + 'default': f' >{COLUMN_WIDTH}.5f', + 'band': f'{COLUMN_WIDTH}s' +} +for col in column_description: + column_format[col] = column_format.get(col, column_format['default']) + +column_dtype = { + 'flag': 'i', + 'Survey': 'U', + 'Comments': 'U', + 'comp': 'U', + 'RA': 'f', + 'DEC': 'f', + 'j': 'i', + 'k': 'i', + 'default': 'f', + 'band': 'U' +} + +Neptune = { + 'Longitude': 332.3354 * units.deg, + 'Latitude': -0.6214 * units.deg, + 'Distance': 29.99064931353 * units.au, + 'Speed': -0.0552043 * units.km / units.s, + 'Epoch': Time(2456293.5, format='jd'), + 'SemimajorAxis': 30.06952752 * units.au, +} diff --git a/python/ossssim/distributions.py b/src/ossssim/distributions.py similarity index 90% rename from python/ossssim/distributions.py rename to src/ossssim/distributions.py index 4cca7b3..a8a0ff9 100644 --- a/python/ossssim/distributions.py +++ b/src/ossssim/distributions.py @@ -3,6 +3,9 @@ """ import numpy from . import definitions +from . import funcs + +KAVELAARS_VARIABLY_TAPERED = {'Ho': -2.6, 'Hb': 8.1, 'alpha_SI': 0.67, 'beta_SI': 0.42} class HDistribution: """ @@ -152,7 +155,6 @@ def constant(self, constant): ---------- constant = The chosen constant value. """ - return_array = numpy.full(self.size, constant) return return_array @@ -269,7 +271,6 @@ def triangle(self, minimum, mid, maximum): """ return self.rnd_gen.triangular(minimum, mid, maximum, self.size) - def linear(self, min, max): """ Returns a set of random values that have max probability at 0 droping to min probabilty at 1 @@ -282,6 +283,42 @@ def linear(self, min, max): f = lambda l: numpy.interp(l, y.cumsum() / y.sum(), x) return f(self.rnd_gen.random(self.size)) + def cold_sfd(self, h_min: float, h_max: float): + """ + Return a set of H values drawn from the tapered powerlaw SFD described in Kavelaars et al. 2021 + """ + # Merge them and then accumulate and normalize + fp = numpy.linspace(h_min, h_max+(h_max-h_min)/1000, num=1000) + cdf = funcs.cold_cfd(fp) + xp = cdf / cdf.max() + + # Generates an array (of a size given in our instance initialization) of uniformly distributed random values + # ranging from the minimum value of our normalized cdf (xp[0] which is >=0) to the maximum value (1). + interpolator = self.rnd_gen.uniform(0, 1, self.size) + + # Calls the interpolation function to generate a randomized array, corresponding to the probability + # density, by interpolating between the given points. + return numpy.interp(interpolator, xp, fp) + + def implanted_sfd(self, h_min: float, h_max: float): + """ + Return a set of H values distributed according to the PL+PL+taperred+PL SFD! From Petit et al. 2023 and + Petit et al. 2022 + """ + fp = numpy.linspace(h_min, h_max, num=1000) + xp = funcs.implanted_pdf(fp, H_dwarf=2.5, H_trans=5.8, alpha_trans=0.7, H_elbow=15.5) + # Merge them and then accumulate and normalize + cdf = xp.cumsum() + xp = cdf / cdf[-1] + + # Generates an array (of a size given in our instance initialization) of uniformly distributed random values + # ranging from the minimum value of our normalized cdf (xp[0] which is >=0) to the maximum value (1). + interpolator = self.rnd_gen.uniform(xp[0], xp[-1], self.size) + + # Calls the interpolation function to generate a randomized array, corresponding to the probability + # density, by interpolating between the given points. + return numpy.interp(interpolator, xp, fp) + def power_knee_divot(self, alpha_bright, h_max, h_min=1., h_break=None, alpha_faint=None, contrast_ratio=1.): """ Obj method used to create an array of H-magnitudes from a so-called single power-law, knee, diff --git a/python/ossssim/ephem.py b/src/ossssim/ephem.py similarity index 86% rename from python/ossssim/ephem.py rename to src/ossssim/ephem.py index 4d9580b..02fcdd4 100644 --- a/python/ossssim/ephem.py +++ b/src/ossssim/ephem.py @@ -4,7 +4,7 @@ from astropy.time import Time from astropy.units import Quantity -from .lib import SurveySubsF95 +import ossssimlib from . import definitions T_ORB_M_UNITS = definitions.T_ORB_M_UNITS @@ -40,7 +40,7 @@ def o_m(self): Take a row of elements and pack into form suitable to be sent to the F95 routines. """ if self._o_m is None: - self._o_m = SurveySubsF95.datadec.t_orb_m() + self._o_m = ossssim.datadec.t_orb_m() row = dict(self.row) for colname in row: if hasattr(self._o_m, colname.lower()): @@ -54,16 +54,16 @@ def o_m(self): @property def obspos(self) -> list: if self._obspos is None: - self._obspos, vel, self._r, ierr = SurveySubsF95.xvutils.obspos(self.code, + self._obspos, vel, self._r, ierr = ossssim.xvutils.obspos(self.code, self.epoch) return self._obspos @property def coord(self) -> SkyCoord: if self._coord is None: - pos = SurveySubsF95.elemutils.pos_cart(self.o_m) + pos = ossssim.elemutils.pos_cart(self.o_m) r = math.sqrt(pos.x**2 + pos.y**2 + pos.z**2) - delta, ra, dec = SurveySubsF95.numutils.radececlxv(pos, self.obspos) + delta, ra, dec = ossssim.numutils.radececlxv(pos, self.obspos) return SkyCoord(ra, dec, distance=r, diff --git a/src/ossssim/funcs.py b/src/ossssim/funcs.py new file mode 100644 index 0000000..8625e8b --- /dev/null +++ b/src/ossssim/funcs.py @@ -0,0 +1,381 @@ +""" +Functions us in analysis of OSSOS H distribution. + +""" +import logging + +import numpy +from scipy import stats +ln10 = numpy.log(10.) + +# x = numpy.array([8.66,12,17.0]) +# From Kavelaars et al. (2021) +# alpha = 3/5 alpha_SI => alpha_SI = 5*alpha/3 +K_ALPHA_SI = 5 * 0.4 / 3 +K_BETA_SI = 0.42 +K_Ho = -2.6 +K_Hb = 8.1 + +KAVELAARS_VARIABLY_TAPERED = {'Ho': -2.6, 'Hb': 8.1, 'alpha_SI': 0.67, 'beta_SI': 0.42} + +def long_lat_r(x: numpy.array, y: numpy.array, z: numpy.array) -> {numpy.array, numpy.array, numpy.array}: + """ + Return spherical long/lat/r given a cartesian position. + """ + r = (x**2 + y**2 + z**2)**0.5 + long = numpy.arctan2(y, x) + lat = numpy.arcsin(z / r) + return long, lat, r + + +def broken_plaw(H, a1, a2, Ho, Hb): + """ + LF from Fraser et al. 2014 + :param H: h magnitude + :param a1: log slope bright of break) + :param a2: log slope faint of break) + :param Ho: normalization of bright component + :param Hb: normalization of faint component + :return: N + + As presented here this the nominal cummulative form of the function. + """ + N = 10**(a1*(H-Ho)) + N[H > Hb] = 10**(a2*(H[H > Hb]-Ho)+(a1-a2)*(Hb-Ho)) + return N + + +def HBO(alpha_SI, beta_SI, A, B): + """ + Convert the 'A' and 'B' parameters in variably tappered funciton to H1 and H2. + :param alpha_SI: + :param beta_SI: + :param A: + :param B: + :return: H1, H2 + + The functional form used in the analysis users constants 'A' and 'B' rather than 10**H1 and 10**H2 as the fits are more well + behaved. This function converts from A/B to the H normalization. + """ + return -5/(3*alpha_SI) * numpy.log10(A), 5/(3*beta_SI) * numpy.log10(B) + + +def variably_tapered(h, A, B, alpha_SI, beta_SI): + """ + Exponentially tappered powerlaw size distribution re-expressed in H magnitude space. + :param A: The normalization of the asymtoptic exponential + :param B: The point where the exponential taper begins. + :param alpah_SI: exponential asymptotic value. + :param beta_SI: exponent of the taper. + + Derived from Schmit et al. This form of the LF mimics behaviour seen in the streaming instability planetesimal formation process. + """ + return A*10.**(alpha_SI*3.*h/5.)*numpy.exp(-B*10.**(-beta_SI*3.*h/5.)) + + +def variably_tapered2(h, Ho, Hb, alpha_SI, beta_SI): + """ + Exponentially tapered exponential size distribution re-expressed in H magnitude space. + """ + return 10.**(alpha_SI*3./5.*(h-Ho))*numpy.exp(-10.**(-beta_SI*3./5*(h-Hb))) + + +def variably_tapered2_diff(h, Ho=K_Ho, Hb=K_Hb, alpha_SI=K_ALPHA_SI, beta_SI=K_BETA_SI): + """ + The derivative of the version 2 of the variably tapered function . + + """ + part1 = numpy.exp(-numpy.float_power(10, -0.6 * beta_SI * (h - Hb))) + part1 *= beta_SI * 1.38155 * numpy.float_power(10, 0.6 * alpha_SI * (h - Ho) - 0.6 * beta_SI * (h - Hb)) + part2 = alpha_SI * 1.38155 * numpy.float_power(10, 0.6 * alpha_SI * (h - Ho)) + part2 *= numpy.exp(-numpy.float_power(10, -0.6 * beta_SI * (h - Hb))) + return part1+part2 + + +def variably_tapered_diff(h, Dp, E, alpha_SI, beta_SI): + """ + Differential form of the variably_tapere + :param h: + :param Dp: + :param E: + :param alpha_SI: + :param beta_SI: + :return: + """ + + return (3./5.*ln10)*Dp*10.**(alpha_SI*3.*h/5.)*(alpha_SI+beta_SI*E*10.**(-beta_SI*3.*h/5.))*numpy.exp(-E*10.**(-beta_SI*3.*h/5.)) + + +def log_variably_tapered(h, Dp, E, alpha_SI, beta_SI): + return numpy.log10(variably_tapered(h, Dp, E, alpha_SI, beta_SI)) + + +def log_variably_tapered_diff(h, Dp, E, alpha_SI, beta_SI): + return numpy.log10(variably_tapered_diff(h, Dp, E, alpha_SI, beta_SI)) + + +def likelihood(H, bias, A=0.88, B=450.0, alpha_SI=0.67, beta_SI=0.65): + """ + + :param H: Vector of measured H values + :param bias: Vector of bias on detection of a given object + + + :return: + """ + x = numpy.linspace(H.min()-3.0, H.max()) + dx = x[1]-x[0] + cdf = variably_tapered(x, A, B, alpha_SI, beta_SI) + pdf = numpy.diff(cdf)/dx + ht = numpy.linspace(H.min(), H.max()) + dh = ht[1]-ht[0] + dy = bias*numpy.interp(H, x[1:]-dx/2.0, pdf) + dN = numpy.interp(ht, H, dy) + if False: + plt.clf() + plt.plot(H, numpy.interp(H, x, cdf), '-') + plt.plot(x[1:], (dx * pdf).cumsum(), ':k') + plt.plot(ht, dh * dN.cumsum(), ':k') + plt.plot(H, numpy.ones(len(H)).cumsum(), '-') + plt.yscale('log') + plt.ylim(1, 10000) + plt.show() + + N = dh*dN.sum() + l = -N + numpy.sum(numpy.log(dy/len(H))) + return dy, N, l + + +def likelihood2(H, bias, Ho=0, Hb=7, alpha_SI=0.67, beta_SI=0.65): + """ + + :param H: Vector of measured H values + :param bias: Vector of bias on detection of a given object + + + :return: + """ + x = numpy.linspace(H.min()-3.0, H.max()+3.0) + dx = x[1]-x[0] + cdf = variably_tapered2(x, Ho, Hb, alpha_SI, beta_SI) + pdf = numpy.diff(cdf)/dx + ht = numpy.linspace(H.min(), H.max()) + dh = ht[1]-ht[0] + dy = bias*numpy.interp(H, x[1:]-dx/2.0, pdf) + dN = numpy.interp(ht, H, dy) + + N = dh*dN.sum() + l = -N + numpy.sum(numpy.log(dy/len(H))) + return dy, N, l + + +def fraser(H, a1, a2, Ho, Hb, dh): + """ + LF from Fraser et al. 2014 + :param H: h magnitude + :param a1: log slope bright of break) + :param a2: log slope faint of break) + :param Ho: normalization of bright component + :param Hb: normalization of faint component + :return: N + """ + # print(f"alpha1: {a1}, alpha2: {a2}, Ho: {Ho}, Hb:{Hb}") + # N[H > Hb] = a2*ln10*10**(a2*(H[H > Hb]-Ho)+(a1-a2)*(Hb-Ho)) + # 10**(a2*H-a2*Ho+a1*Hb-a1*Ho-a2*Hb+a2*Ho) + # 10**(a2*(H-Hb)+a1*(Hb-Ho)) + # 10**(a1*(Hb-Ho)) * 10**(a2*(H-Hb)) + N = dh*a1*ln10*10**(a1*(H-Ho)) + C = 10**(a1*(Hb-Ho)) + N[H >= Hb] = dh*a1*ln10*C*10**(a2*(H[H > Hb]-Hb)) + return N + + +def double_plaw(H, simga_23=0.68, a1=1.36, a2=0.38, R_eq=22.8, dh=0.1): + """ + Double powerlaw form from B14 + :param H: + :param simga_23: + :param a1: + :param a2: + :return: simga(H) + """ + r = H + 10*numpy.log10(42.0) + C = 10**((a2-a2)*(R_eq - 23)) + return dh*((1+C)*simga_23/(10**(-a1*(r-23)) + C*10**(-a2*(r-23)))) + + +def rolling_plaw(H, sigma_23, a1, a2): + """ + Rolling power law form form Bernstein et al. 2004 + :param H: numpy array of H mags. + :param sigma_23: normalization at R=23 + :param a1: bright slope. + :param a2: faint slope. + :return: N + """ + r = H + 10*numpy.log10(44) + return sigma_23 * 10**(a1*(r-23)+a2*(r-23)**2) + + +def ll(params, H, bias, limits): + """ + Compute the log-likelihood [setup to work with eemcc + :param params: function parameters + :param H: numpy array of H magnitudes + :param bias: numpy array of detection bias + :param limits: bounds on params, ll = -np.inf outside this range. + :return: log of likelihood + """ + for idx in ['Ho', 'Hb', 'alpha_SI', 'beta_SI']: + if not limits[idx][0] < params[idx] < limits[idx][1]: + return -numpy.inf + return likelihood2(H, bias, alpha_SI=params[2], Hb=params[1], Ho=params[0], beta_SI=params[3])[2] + + +def poisson_range(k, prob): + """ + Given an measured count rate, k, and an expectation of a poisson process return estimates of 'mu' that + are consistent with 'k' being measured within probability prob. + + i.e. if we measure k objects compute a bunch of mu and return the range of mu that are consistent within prob. + """ + # mu holds the range of plausible estimates for actual mu + mu = numpy.arange(max(0, k.min()-20*(k.min())**0.5), k.max()+20*(k.max())**0.5+10, 10+20*k.max()**0.5/100.) + upper = stats.poisson.ppf(0.5-prob/2., mu) + lower = stats.poisson.ppf(0.5+prob/2., mu) + return numpy.interp(k, lower, mu), numpy.interp(k, upper, mu) + + +def implanted_pdf(H: (numpy.array, float), alpha_dwarf: float = 0.13, + H_dwarf: float = 3.2, + alpha_trans: float = 0.6, + H_trans: float = 6.0, + H_divot: float = 9.0, + contrast: float = 0.7, + H_elbow:float = 16.5, alpha_elbow=0.15) -> numpy.array: + """ + Describes the differential size frequency distribution taken from Kavelaars et al. (2021) and Petit et al. (2023) + and Petit et al. (in prep) + LF is a power law from -3 to H_dwarf, with slope alpha_dwarf then a powerlaw from H_dwarf + H_trans and then a tapered power law from H_trans to H_elbow (following parameters from Kavelaars et al. 2021) and + then a power law with slope alpha_elbow from H_elbow to the end of the distribution. + + This is a cumulative distribution function, not a differential. The differential is the derivative of this function. + + :param H: numpy array of H magnitudes + :param alpha_dwarf: slope of the power law for the dwarf planet region. + :param H_dwarf: break point between the dwarf planet and transition region. + :param alpha_trans: slope of the power law for the transition region. + :param H_trans: break point between the transition region and the tapered region. + :param alpha_elbow: slope of the power law for the small object region. + :param H_elbow: break point between the tapered region and the small object power law region. + """ + # Make sure H can be treated as an order numpy array. + dN = H * 0.0 + H_norm = -3.0 # Normalization of the SFD + # limit where we are considering dwarf planets. (Petit et al.) + cond_dwarf = H < H_dwarf + # transition region between dwarf and tapered SFD (Petit et al.) + cond_trans = (~cond_dwarf) & (H < H_trans) + # tapered region (Petit et al.) + cond_taper = (~cond_dwarf) & (~cond_trans) & (H < H_elbow) + # break at the 'elbow' (Singer et al.) + cond_elbow = (~cond_dwarf) & (~cond_trans) & (~cond_taper) + + dN0 = 1*(H[1]-H[0]) + # d/dH(N×10^(a (H - X))) = a N log(10)×10^(a (H - X)) + dN[cond_dwarf] = dN0*alpha_dwarf*ln10*10**(alpha_dwarf*(H[cond_dwarf] - H_norm)) + dN0 = dN[cond_dwarf][-1]/(alpha_trans*ln10) + # dN0 *= alpha_dwarf*ln10*10**(alpha_dwarf*(H_dwarf - H_norm)) + dN[cond_trans] = dN0*alpha_trans*ln10*10**(alpha_trans*(H[cond_trans] - H_dwarf)) + dN0 = dN[cond_trans][-1]/variably_tapered2_diff(H_trans, Hb = K_Hb) # +0.5) + # dN0 *= alpha_trans*ln10*10**(alpha_trans*(H_trans - H_dwarf))/variably_tapered2_diff(H_trans) + dN[cond_taper] = dN0*variably_tapered2_diff(H[cond_taper], Hb = K_Hb) # +0.5) #, K_Ho, K_Hb, K_ALPHA_SI, K_BETA_SI) + dN[H>H_divot] *= contrast + dN0 = dN[cond_taper][-1]/(alpha_elbow*ln10) + # dN0 *= variably_tapered2_diff(H_elbow) #, K_Ho, K_Hb, K_ALPHA_SI, K_BETA_SI) + dN[cond_elbow] = dN0 * alpha_elbow*ln10*10**(alpha_elbow*(H[cond_elbow]-H_elbow)) + return dN + + +def implanted_cfd(H: (numpy.array, float), alpha_dwarf: float = 0.13, + H_dwarf: float = 3.2, + alpha_trans: float = 0.6, + H_trans: float = 6.2, H_elbow:float = 16.5, alpha_elbow=0.15) -> numpy.array: + """ + Describes the cumulative size frequency distribution taken from Kavelaars et al. (2021) and Petit et al. (2023) + and Petit et al. (in prep) + LF is a power law from -3 to H_dwarf, with slope alpha_dwarf then a powerlaw from H_dwarf to H_trans with a slope of + H_trans and then a tapered power law from H_trans to H_elbow (following parameters from Kavelaars et al. 2021) and + then a power law with slope alpha_elbow from H_elbow to the end of the distribution. + + This is a cumulative distribution function, not a differential. The differential is the derivative of this function. + + :param H: numpy array of H magnitudes + :param alpha_dwarf: slope of the power law for the dwarf planet region. + :param H_dwarf: break point between the dwarf planet and transition region. + :param alpha_trans: slope of the power law for the transition region. + :param H_trans: break point between the transition region and the tapered region. + :param alpha_elbow: slope of the power law for the small object region. + :param H_elbow: break point between the tapered region and the small object power law region. + """ + # Make sure H can be treated as an order numpy array. + N = H * 0.0 + H_norm = -3.0 # Normalization of the SFD + # limit where we are considering dwarf planets. (Petit et al.) + cond_dwarf = H < H_dwarf + # transition region between dwarf and tapered SFD (Petit et al.) + cond_trans = (~cond_dwarf) & (H < H_trans) + # tapered region (Petit et al.) + cond_taper = (~cond_dwarf) & (~cond_trans) & (H < H_elbow) + # break at the 'elbow' (Singer et al.) + cond_elbow = (~cond_dwarf) & (~cond_trans) & (~cond_taper) + + N0 = 1 + N[cond_dwarf] = N0*10**(alpha_dwarf*(H[cond_dwarf] - H_norm)) + N0 *= 10**(alpha_dwarf*(H_dwarf - H_norm)) + N[cond_trans] = N0*10**(alpha_trans*(H[cond_trans] - H_dwarf)) + N0 *= 10**(alpha_trans*(H_trans - H_dwarf))/cold_cfd(H_trans) + N[cond_taper] = N0*cold_cfd(H[cond_taper]) + N0 *= cold_cfd(H_elbow) + N[cond_elbow] = N0 * 10**(alpha_elbow*(H[cond_elbow]-H_elbow)) + + return N + + +def cold_cfd(H:numpy.array, Hb=K_Hb) -> numpy.array: + N = variably_tapered2(H, K_Ho, Hb, K_ALPHA_SI, K_BETA_SI) + return N + + +def main(): + logging.info("This is the result from the OSSOS SFD papers.") + from matplotlib import pyplot as plt + Ho = -2.6 + Hb = 8.1 + beta_SI = 0.42 + alpha_SI = 0.677 + x = numpy.arange(-10, 20, 0.01) + # cdf = variably_tapered2(x, Ho, Hb, alpha_SI, beta_SI) + # pdf = variably_tapered2_diff(x, Ho, Hb, alpha_SI, beta_SI) + cdf = implanted_cfd(x) + pdf = implanted_pdf(x, H_dwarf=2.5, H_trans=5.8, alpha_trans=0.7, H_elbow=15.5) # , H_dwarf=2) + cold = 2.2*cold_cfd(x) + napier = 6500*variably_tapered2(x, 2.22, 10.62, 0.26/0.6, 0.19/0.6) + plt.plot(x, cold, label="K21") + plt.plot(x, cdf, label="Hot; P23") + # plt.plot(x, pdf) + plt.plot(x, napier, label="N24") + plt.plot(x, pdf.cumsum(), label="Hot; smooth N") + plt.plot(x, pdf, label="Hot; smooth dN") + plt.xlabel('H (r)') + plt.ylabel('N(H QTable: + """ + Table of orbital elements and measurements of circumstance of observation (if observed) + """ + pass + + @property + @abstractmethod + def column_names(self) -> list[str]: + """ + return a list of column names to be written or read from file. + """ + pass + + @property + @abstractmethod + def header(self) -> dict: + """ + Provide a header dictionary with circumstances of the model. + Should include epoch, seed, longitude_neptune, colors, and component. + """ + pass + + @property + def epoch(self) -> Time: + """ + Epoch of coordinates of orbit read from model file header. + """ + if not isinstance(self.header['Epoch'], Time): + self.header['Epoch'] = Time(self.header['Epoch'], format='jd') + return self.header['Epoch'] + + @epoch.setter + def epoch(self, value: Time) -> None: + self.header['Epoch'] = value + + @property + def seed(self) -> int: + """ + Seed of the model read from the model file header. + """ + return int(self.header['Seed']) + + @seed.setter + def seed(self, value) -> None: + self.header['Seed'] = value + + @property + def longitude_neptune(self) -> Quantity: + """ + Longitude of Neptune at epoch + """ + value = self.header['Longitude_Neptune'] + if not isinstance(value, Quantity): + value *= units.rad + return value + + @property + def colors(self) -> PhotSpec: + """Returns color array from file header or default if no color array in header.""" + return PhotSpec(self.header['Colors']) + + @colors.setter + def colors(self, value): + self.header['Colors'] = value + + @property + def model_band(self) -> str: + return self.header['Model_Band'] + + @model_band.setter + def model_band(self, value): + self.header['Model_Band'] = value + + def write_row(self, row): + """ + Append a row to the file. + """ + self.append(row) + self.write(self.filename, append=True) + + def append(self, this_row) -> None: + """ + Given a dictionary of row values append the row to the current table + + :param this_row: Dictionary of values to write to row. + """ + mask = [] + _table_row = [] + for column_name in self.column_names: + if column_name not in this_row: + raise ValueError(f"Column name {column_name} not found in {this_row}.") + masked = (this_row.get('flag', 0) < 1) & (column_name in self.mask_these_if_not_detected) + mask.append(masked) + value = this_row[column_name] + _table_row.append(value) + self.table.add_row(_table_row, mask=mask) + + def write(self, filename, append=True, + column_delimiter=TABLE_COLUMN_DELIMITER, + table_format=APPEND_TABLE_FORMAT): + """ + Write the table to a file. + """ + file_already_exists = os.access(filename, os.F_OK) + if file_already_exists and not append: + raise IOError(f"File {filename} already exists and not writing in append mode.") + if not file_already_exists: + self._last_row_written = 0 + table_format = INITIAL_TABLE_FORMAT + column_formats = dict([(column_name, + definitions.column_format.get(column_name, definitions.column_format['default'])) + for column_name in self.column_names]) + with open(self.filename, 'a') as f_obj: + self.table[self._last_row_written:].write(f_obj, + delimiter=column_delimiter, + # meta=self.table.meta, + format=table_format, + overwrite=False, + formats=column_formats) + self._last_row_written = len(self.table) + + def write_footer(self, n_iter, n_hits, n_track): + """ + Write a footer with the results of the survey simulation + + This is done as a footer instead of header to allow streaming output. + """ + with open(self.filename, 'a') as f_detect: + f_detect.write(f'# Total number of objects: {n_iter:>11d}\n') + f_detect.write(f'# Number of detections: {n_hits:>11d}\n') + f_detect.write(f'# Number of tracked objects: {n_track:>11d}\n') + + +class ModelFile(Iterable, ABC): + """This is an abstract class that selects which type of model file object is needed to read a given input file.""" + + def __new__(cls, filename, randomize=False): + with open(filename, 'r') as f_obj: + if "%ECSV" in f_obj.readline(): + cls = ModelFileEcsv + else: + cls = ModelFileOld + return super().__new__(cls) + + +class ModelFileOld(ModelFile): + """ + A class to drive the SSim using a standard model file. + + ModelFile opens file and reads the header for the epoch, seed, longitude_neptune and colors + and then loops over or randomly offsets into the file to read model objects. + """ + + def __init__(self, filename, randomize=False): + self.filename = filename + self.randomize = randomize + self._header = None + self._header_parsed = False + self._colnames = None + self._colors = None + self._model_band = None + self._longitude_neptune = None + self.header_lines = [] + self._f_obj = open(self.filename, 'r') + self.f_loc = 0 + self._targets = None + self._f = None + + def close(self): + self._f_obj.close() + + @property + def epoch(self) -> Time: + """ + Epoch of coordinates of orbit read from model file header. + """ + return Time(float(self.header['JD'][0].replace('d', 'e')), format='jd') + + @epoch.setter + def epoch(self, value: Time): + self.header['JD'] = [value.jd] + + @property + def seed(self): + return int(self.header.get('Seed', [123456789, ])[0]) + + @seed.setter + def seed(self, value): + self.header['Seed'] = [value] + + @property + def longitude_neptune(self): + """ + Longitude of Neptune at epoch + """ + if self._longitude_neptune is None: + default_longitude = definitions.Neptune['Longitude'].to('radian').value + self._longitude_neptune = float(self.header.get('lambdaN', [default_longitude,])[0] + .replace('d', 'e')) * units.radian + return self._longitude_neptune + + @staticmethod + def get_key_of_smallest_abs_value_in_dict(d: dict): + return + + @property + def colors(self): + """Returns color array from file header or default if no color array in header.""" + if self._colors is not None: + return self._colors + # pickup the default colors to get the correct order of band differences. + colors_list = numpy.array([get_floats_in_str(color_str)[0] + for color_str in self.header.get('Colors', '')]) * units.mag + self._colors = color.PhotSpec.from_old_style_list(colors_list) + return self._colors + + @property + def model_band(self) -> str: + if self._model_band is None: + # set the model band pass to the minimum value in the default color dictionary + dictionary_of_band_pass_ratio_values = self.colors.colors['default'] + colors = numpy.array([x.to('mag').value for x in dictionary_of_band_pass_ratio_values.values()]) + self._model_band = list(dictionary_of_band_pass_ratio_values)[numpy.argmin(numpy.fabs(colors))].split('-')[1] + return self._model_band + + @property + def model_band_pass(self) -> str: + return self.model_band + + @property + def colnames(self): + """ + Parse the file header (lines that start with #) and return the last header + line split on spaces as the names of the data columns in filename. + """ + if self._colnames is None: + self._colnames = [] + for colname in self.header.get('colnames', "").split(): + colname = definitions.COLUMN_MAP.get(colname, colname) + self._colnames.append(colname) + if len(self._colnames) == 0: + raise IOError(f"Failed to get column names in {self.filename}\n") + return self._colnames + + @property + def header(self): + """ + Parse the first block of comment lines for header definition. + """ + if self._header is not None or self._header_parsed: + return self._header + previous_line = None + self._header = OrderedDict() + with open(self.filename, 'r') as f_obj: + if self.f_loc is not None: + f_obj.seek(self.f_loc) + self.f_loc = f_obj.tell() + while True: + line = f_obj.readline() + # line = line.decode('utf-8') + if line.startswith('#'): + logging.debug(f"Parsing Comment: {line}") + self.header_lines.append(line[1:]) + if line.strip() == "#": + continue + if '=' in line: + keyword = line.split('=')[0].split()[-1] + value = line.split('=')[1].strip().split() + self._header[keyword] = value + previous_line = line + self.f_loc = f_obj.tell() + else: + if previous_line is not None: + # expect that the last header line is the column name header. + self._header['colnames'] = previous_line[1:] + break + self._header_parsed = True + if self._header is None: + raise IOError(f"Failed to parse keywords from header of {self.filename}") + self._header['_end_of_header_offset'] = self.f_loc + return self._header + + def __iter__(self): + return self + + def __next__(self): + """ + Get the next line or a random line that is not a comment line from the file and parse into a row + """ + if self.randomize: + while True: + # offset to random location in the file. + self._f_obj.seek(random.randint(self.header['_end_of_header_offset'], + os.stat(self.filename).st_size)) + try: + # read to the end of this line. + self._f_obj.readline() + while True: + line = self._f_obj.readline() + if len(line) == 0: + raise EOFError + if line[0] != "#": + break + break + except EOFError: + self._f_obj.close() + self._f_obj = open(self.filename) + pass + else: + while True: + line = self._f_obj.readline() + if type(line) == bytes: + line = line.decode('utf-8') + if len(line) == 0: + raise StopIteration + if not line.startswith('#'): + break + values = line.split() + row = OrderedDict() + for idx, colname in enumerate(self.colnames): + try: + if '.' in values[idx]: + value = float(values[idx].replace('d', 'e')) + else: + value = int(values[idx]) + except ValueError: + value = str(values[idx]) + except IndexError as ex: + # for non-resonant we don't need to have j/k defined in file. + if colname in ['j', 'k']: + value = 0 + else: + raise ex + if definitions.column_unit.get(colname, None) is not None: + value = value * definitions.column_unit[colname] + row[colname] = value + return row + @property + def table(self): + return self.targets + + @property + def targets(self): + """ + targets set by looping over the entire file and returning a 'QTable'. + This can be used when you want access to the + entire table of data rather than just reading one-line at a time. + """ + + if self._targets is None: + # need to start from the top of the data range + # get current file location. + loc = self._f_obj.tell() + + # move the pointer to the end of the header. + self._f_obj.seek(self.header['_end_of_header_offset']) + values = {} + for column in self.colnames: + values[column] = [] + for row in self: + for column in self.colnames: + values[column].append(row[column]) + self._targets = QTable(values) + + # set the file pointer back to where we were before. + self._f_obj.seek(loc) + + return self._targets + + +class ModelFileEcsv(ModelFile, OSSSSimFile): + """ + A class to drive the SSim using a standard model file. + + ModelFile opens file and reads the header for the epoch, seed, longitude_neptune and colors + and then loops over or randomly offsets into the file to read model objects. + """ + + def __init__(self, filename, randomize=False): + super().__init__(filename) + self.filename = filename + self._table = None + if randomize: + DeprecationWarning("Randomize is no longer supported.") + self.randomize = False + self._header = None + self._header_parsed = False + self._colnames = None + self._colors = None + self._epoch = None + self._longitude_neptune = None + self.header_lines = [] + self._f_obj = open(self.filename, 'r') + self.f_loc = 0 + self._targets = None + self._f = None + self._last_row_written = 0 + + @classmethod + def read(cls, filename) -> 'ModelFileEcsv': + model_file = cls(filename) + model_file._load_table_data() + return model_file + + def _load_table_data(self) -> None: + self._table = QTable.read(self.filename, format=INITIAL_TABLE_FORMAT) + self._last_row_written = len(self._table) + + def __iter__(self): + return iter(self.table) + + def __len__(self): + return len(self.table) + + @property + def header(self) -> dict: + return self.table.meta + + @property + def column_names(self) -> list[str]: + return self.table.colnames + + @property + def table(self) -> QTable: + if self._table is None: + self._load_table_data() + return self._table + + @property + def targets(self): + """ + targets set by looping over the entire file and returning a 'QTable'. + This can be used when you want access to the + entire table of data rather than just reading one-line at a time. + """ + return self.table + + +class ResultsFile(OSSSSimFile): + """ + ModelFile structure for output file from Simulator detections. + """ + + @property + def column_names(self) -> list[str]: + return self.table.colnames + + @property + def header(self) -> dict: + return self.table.meta + + colnames = ['a', 'e', 'inc', 'node', 'peri', 'M', 'H', + 'q', 'r', 'm_rand', 'H_rand', 'x', 'y', 'z', + 'band', 'comp', 'j', 'k'] + + def __init__(self, filename: str, seed: int = None, epoch: Time = definitions.Neptune['Epoch'], + longitude_neptune: Quantity = definitions.Neptune['Longitude'], colors: PhotSpec = PhotSpec(), + model_band: str = definitions.DEFAULT_MODEL_BAND, randomize=False): + super().__init__(filename) + self.meta = dict([('Seed', seed), + ('Epoch', epoch), + ('Longitude_Neptune', longitude_neptune), + ('Colors', colors.colors), + ('Creation_time', time.strftime("%Y-%m-%dT%H:%M:%S")), + ('Model_Band', model_band)]) + if randomize: + DeprecationWarning("Randomize is no longer supported.") + self.filename = filename + self._table = None + + @property + def table(self) -> QTable: + if self._table is not None: + return self._table + dtypes = [] + column_units = [] + description = {} + for column_name in self.colnames: + dtypes.append(definitions.column_dtype.get(column_name, + definitions.column_dtype['default'])) + column_units.append(definitions.column_unit.get(column_name, units.dimensionless_unscaled)) + description[column_name] = definitions.column_description.get(column_name, None) + self._table = QTable(names=self.colnames, + masked=True, + units=column_units, + dtype=dtypes, + meta=self.meta, + descriptions=description) + return self._table + + +class ModelOutputFile(ResultsFile): + """ + Output format used to store the input model, used when model is parametric, + and you want to keep a record of input for diagnostics + """ + + colnames = ['a', 'e', 'inc', 'node', 'peri', 'M', 'H', 'q', + 'comp', 'j', 'k', 'x', 'y', 'z'] + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + for element in ['x', 'y', 'z']: + self.mask_these_if_not_detected.remove(element) + + +class DetectFile(ResultsFile): + """ + Detected object output file structure. + """ + colnames = ['a', 'e', 'q', 'inc', 'j', 'k', 'node', 'peri', 'M', 'H', 'band', 'color', 'comp', + 'flag', 'Survey', 'eff', + 'm_int', 'm_rand', 'h_rand', 'Mt', + 'RA', 'DEC', 'r', 'delta', 'x', 'y', 'z'] + + +class FakeFile(ResultsFile): + """ + List of positions of artificial objects to add to the file. + """ + colnames = ['a', 'e', 'inc', 'node', 'peri', 'M', 'H', 'mag', 'dra', 'ddec', 'RA', 'DEC'] + + +class TrackFile(ResultsFile): + """ + Tracked object output file structure. + """ + colnames = ['a', 'e', 'inc', 'node', 'peri', 'M', 'H', 'q', 'r', + 'Mt', 'm_rand', 'H_rand', 'band', 'Survey', 'comp', 'j', 'k'] + + +class Parametric(OSSSSimFile): + """ + This abstract class defines methods needed to build a parametric + Outer Solar System model for use as a model input for OSSSSim + """ + + def __init__(self, + size: int = definitions.DEFAULT_SIZE, + seed: int = definitions.DEFAULT_SEED, + epoch: Time = definitions.Neptune['Epoch'], + component: str = 'TNO', + longitude_neptune: Quantity = definitions.Neptune['Longitude'], + H_min: float = definitions.H_MIN, + H_max: float = definitions.H_MAX, + model_band: str = definitions.DEFAULT_MODEL_BAND, + colors: dict = None, + **kwargs) -> None: + """ + Set up the boundaries of the simulation. size and seed are used to initialize a dist_utils.Distribution class. + + Args: + size: Determines size of the arrays to be generated (default=10^6). + seed: Initialize distributions with this seed to enable reproducible models. + epoch: JD epoch of elements and Neptune longitude + j: MMR Neptune integer + k: MMR TNO integer + longitude_neptune: heliocentric J2000 longitude of neptune at Epoch + + """ + super().__init__(filename=None) + # initialize the internal variables so they are empty. + self._sim = self._longitude_neptune = None + size = kwargs.get('size', size) + seed = kwargs.get('seed', seed) + seed = seed is None and numpy.random.randint(1, 999999999) or seed + epoch = kwargs.get('epoch', epoch) + component = kwargs.get('component', component).replace(" ", "_") + longitude_neptune = kwargs.get('longitude_neptune', longitude_neptune) + H_min = kwargs.get('H_min', H_min) + H_max = kwargs.get('H_max', H_max) + model_band = kwargs.get('model_band', model_band) + colors = kwargs.get('colors', colors) + colors = colors is None and PhotSpec() or PhotSpec(colors) + if 'default' not in colors.colors: + colors.colors['default'] = PhotSpec.COLORS['default'] + self.meta = dict([('Seed', seed), + ('Epoch', epoch), + ('Longitude_Neptune', longitude_neptune), + ('Colors', colors.colors), + ('Creation_time', time.strftime("%Y-%m-%dT%H:%M:%S")), + ('Component', component), + ('Model_Band', model_band)]) + self.size = size + self.j_distribution = self.k_distribution = [0,]*self.size + self.comp = component + self.H_max = H_max + self.H_min = H_min + self.model_band = model_band + self.orbital_elements = ['a', 'e', 'inc', 'node', 'peri', 'M', 'q', 'H', 'j', 'k', 'phi', 'resamp'] + self._a = self._e = self._inc = self._node = self._peri = self._M = self._q = self._H = self._j = self._k = None + self.distributions = distributions.Distributions(self.seed, self.size) + self.a_neptune = definitions.Neptune['SemimajorAxis'] + self.rebound_archive = f"Rebound_Archive.bin" + self.power_knee_divot_params = dict([('alpha_bright', 1.1), + ('alpha_faint', 0.4), + ('h_break', 7.5), + ('h_max', self.H_max), + ('h_min', self.H_min)]) + self._iter = None + self._targets = None + self.cartesian = Cartesian(epoch=self.epoch) + self._init_elements() + + @property + def a(self): + if self._a is None: + self._a = self.a_distribution + return self._a + + @property + def e(self): + if self._e is None: + self._e = self.e_distribution + return self._e + + @property + def inc(self): + if self._inc is None: + self._inc = self.inc_distribution + return self._inc + + @property + def q(self): + if self._q is None: + self._q = self.q_distribution + return self._q + + @property + def M(self): + if self._M is None: + self._M = self.M_distribution + return self._M + + @property + def peri(self): + if self._peri is None: + self._peri = self.peri_distribution + return self._peri + + @property + def node(self): + if self._node is None: + self._node = self.node_distribution + return self._node + + @property + def H(self): + if self._H is None: + self._H = self.H_distribution + return self._H + + @property + def j(self): + if self._j is None: + self._j = self.j_distribution + return self._j + + @property + def k(self): + if self._k is None: + self._k = self.k_distribution + return self._k + + @property + def header(self) -> dict: + return self.meta + + @property + def column_names(self) -> list[str]: + return self.table.colnames + + def _init_elements(self): + """ + Initialize the distributions to trigger generating a new set of model objects + """ + for element in self.orbital_elements: + setattr(self, f"_{element}", None) + self._iter = self._targets = self._cartesian = self._sim = None + + @abstractmethod + def a_distribution(self) -> Quantity: + """ + Semi-major axis of the orbit. + """ + pass + + @property + @abstractmethod + def e_distribution(self) -> Quantity: + """ + Semi-major axis of the orbit. + """ + pass + + @property + @abstractmethod + def inc_distribution(self) -> numpy.ndarray: + """ + Semi-major axis of the orbit. + """ + pass + + @property + def node_distribution(self) -> Quantity: + """ + Return uniformly distributed nodes. + """ + return self.distributions.uniform(0, 2 * numpy.pi) * units.rad + + @property + def peri_distribution(self) -> Quantity: + """ + Distribute peri uniformly. + """ + return self.distributions.uniform(0, 2 * numpy.pi) * units.rad + + @property + def M_distribution(self) -> Quantity: + """ + Return uniformly distributed mean anomalies + """ + return self.distributions.uniform(0, 2 * numpy.pi) * units.rad + + @property + def H_distribution(self) -> Quantity: + """A distribution of H values""" + return self.distributions.power_knee_divot(**self.power_knee_divot_params) * units.mag + + @property + def q_distribution(self) -> Quantity: + return self.a*(1-self.e) + + @property + def comp(self) -> list: + """ + Label for the component being generated. + """ + return [self._comp,] * self.size + + @comp.setter + def comp(self, value: (str, list)): + self._comp = value + + @property + def lc_gb(self) -> Quantity: + """ + Opposition surge effect as define in Bowell + """ + return self.distributions.constant(definitions.LIGHT_CURVE_PARAMS['gb'].value) * units.mag + + @property + def lc_phase(self) -> Quantity: + """ + Phase of lightcurve at self.epoch + """ + return self.distributions.uniform(0, 2*numpy.pi) * units.rad + + @property + def lc_period(self) -> Quantity: + """ + period of lightcurve + """ + return self.distributions.uniform(0, definitions.LIGHT_CURVE_PARAMS['period'].value) * units.day + + @property + def lc_amplitude(self) -> Quantity: + """ + peak-to-peak amplitude of lightcurve + """ + return self.distributions.uniform(0, definitions.LIGHT_CURVE_PARAMS['amplitude'].value) * units.mag + + def _generate_targets(self) -> QTable: + """ + Generate the orbit elements and properties of a list of targets to be passed to the simulator. + + Expected to return a QTable or dictionary. If a QTable then len of table should be self.size. + If dictionary then each dictionary key should point to a list of length self.size. + + All values stored as Quantity objects to allow conversion to desired units + before passing to the SurveySubsF95.detos1 + + Must define at least {'a': [], 'e': [], 'inc': [], 'node': [], 'peri': [], 'M': [], 'H': []} + see sim for full list of keys that can be returned. + + Returns: + (QTable or dict): set of Quantity objects describing targets. + """ + rows = {} + for element in ['a', 'e', 'inc', 'node', 'peri', 'M', 'q', 'H', 'j', 'k', 'comp', + 'lc_gb', 'lc_phase', 'lc_period', 'lc_amplitude']: + rows[element] = getattr(self, element) + + pos_zeros = numpy.zeros(self.size)*units.au + vel_zeros = numpy.zeros(self.size)*units.au/units.yr + carts = ['x', 'y', 'z'] + for cart in carts: + rows[cart] = pos_zeros + carts = ['vx', 'vy', 'vz'] + for cart in carts: + rows[cart] = vel_zeros + table = QTable(self.cartesian(rows=rows)) + return table + + @property + def table(self): + return self.targets + + @property + def targets(self): + """ + A table of length self.size holding the generated distribution of targets. + + """ + if self._targets is None: + self._targets = self._generate_targets() + return self._targets + + @property + def iter(self): + """ + An iterator on targets table + """ + if self._iter is None: + self._iter = iter(self.targets) + return self._iter + + def __iter__(self): + return self + + def __next__(self): + """ + return the next row from the orbits table via the `iterator` on the table. + + If we hit the end of orbits table then call draw_distribution to refresh the table. + """ + try: + row = next(self.iter) + except StopIteration: + # Clear the targets table so a new distribution will be generated. + self._iter = None + self._init_elements() + row = next(self.iter) + return dict(row) + + +class Implanted(Parametric, ABC): + """" + Objects that were implanted into the Kuiper belt region and appear to share a SFD. + """ + def __init__(self, sigma_i=12, **kwargs): + super().__init__(**kwargs) + self.sigma_i = sigma_i + + @property + def h_distribution(self): + return distributions.HDistribution(self.distributions.implanted_sfd, + **dict([('h_max', self.H_max), + ('h_min', self.H_min)])) + + @property + def inc_distribution(self): + """ + Distribute the inclinations based on Brown 2001 functional form. + """ + return self.distributions.truncated_sin_normal(0, + numpy.deg2rad(self.sigma_i), + 0, + numpy.deg2rad(45)) * units.rad + + +class Resonant(Implanted): + """ + This class defines methods needed to build a parametric + Outer Solar System model for use as a model input for OSSSSim + """ + + def __init__(self, + size=10 ** 5, + seed=123456789, + comp='Res', + j=None, + k=None, + res_amp_low=0 * units.deg, + res_amp_mid=5 * units.deg, + res_amp_high=10 * units.deg, + res_centre=180 * units.deg, **kwargs): + """ + Set up the boundaries of the simulation. size and seed are used to initialize a dist_utils.Distribution class. + + longitude_neptune and epoch are stored in self,longitude_neptune and self.epoch for use in + self._generate_targets. + + See examples/models.py for an example implementation. + + + res_amp_low=20*units.degree, + res_amp_mid=95*units.degree, + res_amp_high=130*units.degree, + + Args: + size (int): Determines size of the arrays to be generated (default=10^6). + seed (int): Initialize distributions with this seed to enable reproducible models. + component (str): Name of this component, stored in output files. + longitude_neptune (Quantity): The ecliptic longitude of Neptune at epoch_neptune of elements. + epoch (Quantity): The epoch_neptune of the given longitude of Neptune. + j (int): the j/k MMR with Neptune, set to 0 if not a resonant orbit. + k (int): the j/k MMR with Neptune, set to 0 if not a resonant orbit. + res_centre (Quantity): centre of the resonance phi libration. + res_amp_low (Quantity): low end of amplitude of phi oscillation + res_amp_mid (Quantity): middle of the amplitude of phi oscillation + res_amp_high (Quantity): top end of phi oscillation + + For resonant amplitude is drawn from a distribution that starts at res_amp_low, + peaks at res_amp_mid and back to 0 at res_amp_high. Generally uses distributions.Distribution.triangle + + """ + super().__init__(size=size, + seed=seed, + comp=comp, **kwargs) + if j is None or k is None: + ValueError(f"Resonance j/k cannot be None for Resonant Model objects") + self.j_distribution = self.distributions.constant(j) + self.k_distribution = self.distributions.constant(k) + self._phi = self._resamp = None + self.orbital_elements.extend(['resamp', 'phi', 'j', 'k']) + self.res_amp_low = res_amp_low + self.res_amp_high = res_amp_high + self.res_amp_mid = res_amp_mid + self.res_centre = res_centre + + @property + def res_amp_low(self) -> Quantity: + """Low end of resonance amplitude""" + return self._res_amp_low + + @res_amp_low.setter + def res_amp_low(self, value: Quantity): + self._res_amp_low = value + + @property + def res_amp_mid(self) -> Quantity: + """Low end of resonance amplitude""" + return self._res_amp_mid + + @res_amp_mid.setter + def res_amp_mid(self, value: Quantity): + self._res_amp_mid = value + + @property + def res_amp_high(self) -> Quantity: + """Low end of resonance amplitude""" + return self._res_amp_high + + @res_amp_high.setter + def res_amp_high(self, value: Quantity): + self._res_amp_high = value + + @property + def res_centre(self) -> Quantity: + """Centre of resonance, aka phi0""" + return self._phi0 + + @res_centre.setter + def res_centre(self, value: Quantity): + self._phi0 = value + + @property + def a_distribution(self) -> Quantity: + """ + J2000 Heliocentric semi-major axis sampled as +/- 0.5 from the resonance semi-major axis value. + """ + a0 = (self.a_neptune ** (3 / 2) * self.j[0] / self.k[0]) ** (2 / 3) + a_min = a0 - 0.5 * units.au + a_max = a0 + 0.5 * units.au + return self.distributions.uniform(a_min.to('au').value, + a_max.to('au').value) * units.au + + @property + def e_distribution(self) -> numpy.array: + """ + Set the maximum value of 'e' based on the peri-center location of Neptune, + minimum value set to 0.02 then randomly sample this + range of e. + """ + return self.distributions.uniform(0.19, 0.2) + + @property + def resamp(self): + """ + amplitude of the distribution of resonance centres around libration centre, used in self.phi + """ + if self._resamp is None: + self._resamp = self.resamp_distribution + return self._resamp + + @property + def phi(self): + """ + Libration angle of the resonance. + """ + if self._phi is None: + self._phi = self.phi_distribution + return self._phi + + @property + def M_distribution(self) -> Quantity: + """ + Return uniformly distributed mean anomalies + """ + return self.distributions.uniform(0, self.k[1]*2*numpy.pi) * units.rad + + @property + def peri_distribution(self) -> Quantity: + """ + Distribute peri centre to obey the phi/M/_longitude_neptune constraints. + + See Volk et al. 2016 for info on computing peri given a choice phi. + """ + # below is different algebra to get the same result + # self._peri = (self.phi / self.k - self.j * self.M / self.k + self.longitude_neptune - self.node) + # % (360 * units.deg) + # self._peri = (self.phi - p*self.M + q*self.longitude_neptune - q*self.node)/q + # return (self.phi - self.j * self.M + self.k * (self.longitude_neptune - self.node)) / self.k + return ((self.phi - self.j * self.M)/self.k + self.longitude_neptune - self.node) % (360 * units.deg) + + @property + def phi_distribution(self) -> Quantity: + """ + Compute the phi, libration centre from the resonance centre and sampling the + resonance amplitude via sin() weighting. + """ + amplitudes = numpy.sin(self.distributions.uniform(0, 2 * numpy.pi)) + return self.res_centre + amplitudes * self.resamp + + @property + def resamp_distribution(self) -> Quantity: + """ + amplitude of the distribution of resonance centres around libration centre, used in self.phi + """ + return self.distributions.triangle(self.res_amp_low.to('rad').value, + self.res_amp_mid.to('rad').value, + self.res_amp_high.to('rad').value) * units.rad diff --git a/python/ossssim/plotter.py b/src/ossssim/plotter.py similarity index 93% rename from python/ossssim/plotter.py rename to src/ossssim/plotter.py index 17dc9d1..6408d2a 100644 --- a/python/ossssim/plotter.py +++ b/src/ossssim/plotter.py @@ -67,24 +67,24 @@ def plot(self, variables: list = None) -> None: """ if variables is None: - variables = self.model.targets.colnames + variables = self.model.targets.column_names nx = len(variables)//2 ny = 2 for i, column in enumerate(variables): ax = self.fig.add_subplot(nx, ny, i) - if column not in self.model.targets.colnames: + if column not in self.model.targets.column_names: logging.warning(f"Could not plot {column} as does not appear input model.") pass values = self.model.targets[column] if isinstance(values[0], (list, numpy.ndarray)): for idx in range(len(values[0])): - ax.plot(values[:, idx].to(definitions.colunits[column]).value, + ax.plot(values[:, idx].to(definitions.column_unit[column]).value, color='k', marker='o', linestyle='none', linewidth=2, markersize=1) else: - ax.plot(values.to(definitions.colunits[column]).value, + ax.plot(values.to(definitions.column_unit[column]).value, color='k', marker='o', linestyle='none', linewidth=2, markersize=1) - ax.ylabel(f"{column} ({definitions.colunits[column]})") + ax.ylabel(f"{column} ({definitions.column_unit[column]})") plt.show() @@ -98,7 +98,7 @@ class RosePlot: """ - def __init__(self, epoch: float, outer_edge=85 * units.au, inner_edge=10 * units.au) -> None: + def __init__(self, epoch: Time, outer_edge=85 * units.au, inner_edge=10 * units.au) -> None: """ Plot the TNO discoveries on a top-down Solar System showing the position of Neptune and model TNOs. @@ -148,7 +148,7 @@ def longitude_neptune(self): Return the longitude of Neptune based on the current epoch """ if self._longitude_neptune is None: - neptune = jplhorizons.Horizons(899, epochs=self.epoch, location='568') + neptune = jplhorizons.Horizons(899, epochs=self.epoch.jd, location='568') self._longitude_neptune = neptune['EcLon'] return self._longitude_neptune @@ -258,7 +258,7 @@ def add_planets(self): for planet_name in ['Jupiter', 'Saturn', 'Uranus', 'Neptune', 'Pluto']: planet = jplhorizons.Horizons(ids[planet_name], location='568', - epochs=self.epoch) + epochs=self.epoch.jd) eph = planet.ephemerides() alpha = 0.7 size = 20 @@ -310,14 +310,14 @@ def add_model(self, model: ModelFile, mc: str = 'k', ms: float = 1., """ Make a face-down plot of the solar system for this model. """ - coord = SkyCoord(model.targets['x'], model.targets['y'], model.targets['z'], representation_type='cartesian', + coord = SkyCoord(model.table['x'], model.table['y'], model.table['z'], representation_type='cartesian', frame='heliocentrictrueecliptic', obstime='2000-01-01').transform_to(self.frame) if sample_size is None: choice = numpy.arange(len(coord)) else: rng = default_rng() - choice = rng.integers(0, len(model.targets), sample_size) + choice = rng.integers(0, len(model.table), sample_size) self.ax1.plot(coord.lon.to('rad').value[choice], coord.distance.to('au').value[choice], @@ -325,6 +325,15 @@ def add_model(self, model: ModelFile, mc: str = 'k', ms: float = 1., markersize=ms, alpha=alpha) + @staticmethod + def savefig(filename, **kwargs) -> None: + """ + Save the figure to file + + filename: name of file to save figure to + """ + plt.savefig(filename, **kwargs) + @staticmethod def show() -> None: """ diff --git a/src/ossssim/pos_cart.py b/src/ossssim/pos_cart.py new file mode 100644 index 0000000..e70803d --- /dev/null +++ b/src/ossssim/pos_cart.py @@ -0,0 +1,94 @@ +import numpy as np + + +def pos_cart(a: np.array, e: np.array, inc: np.array, Omega: np.array, omega: np.array, M: np.array) -> np.array: + """ + This routine transforms delaunay variables into cartesian variables, positions only. + + Parameters + a: semi-major axis (AU) + e: eccentricity + inc: inclination (radians) + Omega: longitude of the ascending node (radians) + omega: argument of the pericentre (radians) + M: mean anomaly (radians) + + """ + M = M % (2 * np.pi) + signe = np.sign(a) + cos_i = np.cos(inc) + sin_i = np.sqrt(1 - cos_i ** 2) + delau1 = M + delau2 = np.cos(omega) + delau3 = np.sin(omega) + delau4 = np.cos(Omega) + delau5 = np.sin(Omega) + delau6 = signe * np.sqrt(a * signe) + delau7 = np.abs(delau6) * np.sqrt((1 - e ** 2) * signe) + + E = compute_E(e, M) + + cos_E = np.cos(E) + sin_E = np.sin(E) + q_vec = np.zeros_like(delau3, shape=(2, delau6.shape[0])) + q_vec[0,:] = delau6 ** 2 * (cos_E - e) + q_vec[1,:] = delau7 * delau6 * sin_E + + mat = np.zeros_like(delau3, shape=(3, 2, delau1.shape[0])) + d53 = delau5 * delau3 + d42 = delau4 * delau2 + d52 = delau5 * delau2 + d43 = delau4 * delau3 + mat[0, 0, :] = d42 - cos_i * d53 + mat[0, 1, :] = d43 + cos_i * d52 + mat[1, 0, :] = d52 + cos_i * d43 + mat[1, 1, :] = -d53 + cos_i * d42 + mat[2, 0, :] = sin_i * delau3 + mat[2, 1, :] = -sin_i * delau2 + + # Cartesian coordinates + p = (mat * q_vec).sum(axis=1) + # p = np.zeros(3) + # p[0] = mat[0, 0] * q_vec[0] + mat[0, 1] * q_vec[1] + # p[1] = mat[1, 0] * q_vec[0] + mat[1, 1] * q_vec[1] + # p[2] = mat[2, 0] * q_vec[0] + mat[2, 1] * q_vec[1] + + return p + + +def compute_E(e: np.array, M: np.array) -> np.array: + """ + Compute the eccentric anomaly, E, from the mean anomaly, M, and the eccentricity, e. + """ + E = M + 0.85 * np.sign(np.sin(M)) * e + i = 0 + while True: + sin_e = e * np.sin(E) + f = E - sin_e - M + iterate = np.fabs(f) > 1e-14 + if iterate.sum() > 0: + cos_e = e[iterate] * np.cos(E[iterate]) + fp = 1 - cos_e + fpp = sin_e[iterate] + fppp = cos_e + de = -f[iterate] / fp + de = -f[iterate] / (fp + de * fpp / 2) + de = -f[iterate] / (fp + de * fpp / 2 + de * de * fppp / 6) + E[iterate] = E[iterate] + de + i += 1 + if i < 20: + continue + raise ValueError('POS_CART: No convergence after {i} iterations') + break + return E + + +if __name__ == '__main__': + a = np.array([1.0, 1.0, 1.0, 1.0, 1.0]) + e = np.array([0.5, 0.5, 0.5, 0.5, 0.5]) + inc = np.array([0.0, np.pi/4.0, np.pi/3, np.pi/2, np.pi]) + omega = np.array([0.0, 0.0, 0.0, 0.0, 0.0]) + Omega = np.array([0.0, 0.0, 0.0, 0.0, 0.0]) + M = np.array([0.0, np.pi/2, np.pi, 3*np.pi/2, 2*np.pi]) + + print(pos_cart(a, e, inc, Omega, omega, M)) \ No newline at end of file diff --git a/python/ossssim/rose_topdown.py b/src/ossssim/rose_topdown.py similarity index 100% rename from python/ossssim/rose_topdown.py rename to src/ossssim/rose_topdown.py diff --git a/src/requirements.txt b/src/requirements.txt new file mode 100644 index 0000000..5ac746d --- /dev/null +++ b/src/requirements.txt @@ -0,0 +1,13 @@ +astropy~=6.0.0 +astroquery~=0.4.6 +ephem~=3.7.7.1 +f90wrap~=0.2.7 +matplotlib~=3.8.3 +numpy~=1.26.4 +ossssim~=1.0 +pydantic +rebound~=3.24.0 +setuptools~=56.0.0 +scipy~=1.6.1 +spherical_geometry +warnings diff --git a/python/tests/__init__.py b/src/tests/__init__.py similarity index 100% rename from python/tests/__init__.py rename to src/tests/__init__.py diff --git a/python/tests/data/ReadModelFromFile-check.dat b/src/tests/data/ReadModelFromFile-check.dat similarity index 100% rename from python/tests/data/ReadModelFromFile-check.dat rename to src/tests/data/ReadModelFromFile-check.dat diff --git a/python/tests/data/Surveys b/src/tests/data/Surveys similarity index 100% rename from python/tests/data/Surveys rename to src/tests/data/Surveys diff --git a/python/tests/data/test_detect.dat b/src/tests/data/test_detect.dat similarity index 88% rename from python/tests/data/test_detect.dat rename to src/tests/data/test_detect.dat index 276f424..e69ebfc 100644 --- a/python/tests/data/test_detect.dat +++ b/src/tests/data/test_detect.dat @@ -1,7 +1,7 @@ # Seed = 113715191 # Epoch of elements: JD = 2453157.5 # Longitude of Neptune: lambdaN = 5.489 rad -# Colors = [' 0.00 ', '-0.70 ', '-1.20 ', '-1.70 ', ' 0.80 ', ' 0.50 ', ' 0.10 ', '-0.80 ', '-1.20 ', ' 0.00 '] +# Colors = 0.00 -0.70 -1.20 -1.70 0.30 0.50 0.10 -0.80 -1.20 # # Creation_time: 2022-07-12T11:16:09.000 -0700 # flag: >0: detected; >2: characterized; 0 mod(2): tracked diff --git a/python/tests/data/test_model.dat b/src/tests/data/test_model.dat similarity index 96% rename from python/tests/data/test_model.dat rename to src/tests/data/test_model.dat index bd1be51..73689b0 100644 --- a/python/tests/data/test_model.dat +++ b/src/tests/data/test_model.dat @@ -1,6 +1,6 @@ # Epoch of elements: JD = 2453157.50000 # Longitude of Neptune: lambdaN = 5.489 -# Colors = 0.0d0 -0.70d0 -1.2d0 -1.7d0 0.8d0 0.5d0 0.1d0 -0.8d0 -1.2d0 0.0d0 +# Colors = 0.0d0 -0.70d0 -1.2d0 -1.7d0 0.8d0 0.5d0 0.1d0 -0.8d0 -1.2d0 # # a e i node peri M H dist comp j k 88.253 .564 8.807 316.126 286.639 60.537 8.05 90.70 resonant 5 1 diff --git a/src/tests/test_color.py b/src/tests/test_color.py new file mode 100644 index 0000000..e185d5a --- /dev/null +++ b/src/tests/test_color.py @@ -0,0 +1,37 @@ +import unittest +from ossssim import ModelFileOld +from astropy import units as u +import numpy + + +class TestOldStyleColorMapping(unittest.TestCase): + + def setUp(self): + self.old_stype_model_file = "data/test_model.dat" + self.old_style_color_list = numpy.array([0.0, -0.7, -1.2, -1.7, 0.8, 0.5, 0.1, -0.8, -1.2, 0.0]) * u.mag + self.model_file = ModelFileOld(filename=self.old_stype_model_file) + self.old_style_color_header = "# Colors = 0.0d0 -0.70d0 -1.2d0 -1.7d0 0.8d0 0.5d0 0.1d0 -0.8d0 -1.2d0 0.0d0" + + def test_color_init(self): + color_dict = self.model_file.colors('default', 'g') + self.assertAlmostEqual(color_dict['g-g'], self.old_style_color_list[0]) + self.assertAlmostEqual(color_dict['r-g'], self.old_style_color_list[1]) + + def test_color_transform(self): + color_dict = self.model_file.colors('default', 'r') + self.assertAlmostEqual(color_dict['g-r'], self.old_style_color_list[0]-self.old_style_color_list[1]) + self.assertAlmostEqual(color_dict['r-r'], self.old_style_color_list[0]) + + def tearDown(self): + self.model_file.close() + + def test_color_list(self): + color_list = self.model_file.colors.colors_list('default', 'g') * u.mag + self.assertEqual(self.model_file.colors('default', 'g')['g-g'], self.old_style_color_list[0]) + self.assertEqual(self.model_file.colors('default', 'g')['g-g'], color_list[ord('g')-ord('A')+1]) + self.assertEqual(self.old_style_color_list[0], color_list[ord('g')-ord('A')+1]) + self.assertEqual(self.old_style_color_list[1], color_list[ord('r')-ord('A')+1]) + + +if __name__ == '__main__': + unittest.main() \ No newline at end of file diff --git a/src/tests/test_model.py b/src/tests/test_model.py new file mode 100644 index 0000000..82ccb9a --- /dev/null +++ b/src/tests/test_model.py @@ -0,0 +1,99 @@ +""" +Create a ring of objects representing theoretical populations of objects in the distant solar system. + +When run as a script, uses CFEPS survey characterization, runs until 28 sources have been detected in this ring and plots the result. +""" +from ossssim.models import Parametric, Resonant +from ossssim import OSSSSim, DetectFile, ModelFile, definitions, plotter, PhotSpec +from astropy import units +import unittest +from tempfile import NamedTemporaryFile + + +class Plutino(Resonant): + def __init__(self, **kwargs): + super().__init__(j=3, k=2, comp="plutino", **kwargs) + + +class Ring(Parametric): + """ + Class used to create and store the objects generated and passed by the GiMeObj module into the main Driver.py + module that executes the survey simulator code. + """ + def __init__(self, ring_centre, ring_width, **kwargs): + """Build a ring distribution of given with at a given distance. Ring is edge-on and circular. + + Args: + ring_center (units.Quantity): The location of the ring, given as unit quantity + ring_width (units.Quantity): Width of the ring. + """ + super().__init__(**kwargs) + self.ring_center = ring_centre + self.ring_width = ring_width + + @property + def a_distribution(self): + """ + Semi-major axis distribution for a narrow ring + """ + return self.distributions.constant(40.0) * units.au + + @property + def e_distribution(self): + """ + Eccentricity axis distribution for a narrow ring + """ + return self.distributions.constant(0.0) + + @property + def inc_distribution(self): + """ + Inclination distribution for a narrow ring + """ + return self.distributions.constant(0.0) * units.rad + + +class ConfirmResonantTest(unittest.TestCase): + + def setUp(self): + self.characterization_directory = 'data/Surveys/CFEPS' + self.model = Plutino(size=10000) + self.sim = OSSSSim(characterization_directory=self.characterization_directory) + + def test_semimajor_axis_limits(self): + self.assertLess(self.model.a.max(), 39.95*units.au) + self.assertGreater(self.model.a.min(), 38.90*units.au) + + +class CreateModelFileTest(unittest.TestCase): + def setUp(self): + characterization_directory = 'data/Surveys/CFEPS' + self.ssim = OSSSSim(characterization_directory=characterization_directory) + self.model = Ring(45*units.au, 1*units.au, seed=123456789, component='Ring', size=1, H_max=9) + self.model_filename = NamedTemporaryFile().name + + def test_run(self): + model_file = DetectFile(self.model_filename, + longitude_neptune=self.model.longitude_neptune, + epoch=self.model.epoch, + colors=PhotSpec()) + for row in self.model: + self.assertAlmostEqual(row['a'].value, 40.0) + self.assertAlmostEqual(row['e'], 0.0) + self.assertAlmostEqual(row['inc'].value, 0.0) + result = self.ssim.simulate(row, + colors=model_file.colors, + model_band=model_file.model_band_pass, + seed=self.model.seed, + epoch=self.model.epoch) + model_file.write_row(result) + if result['flag'] > 0: + break + + model_file.write_footer(n_iter=1, + n_hits=0, + n_track=0) + + +if __name__ == '__main__': + unittest.main() diff --git a/src/tests/test_osssim.py b/src/tests/test_osssim.py new file mode 100644 index 0000000..ecd6f8e --- /dev/null +++ b/src/tests/test_osssim.py @@ -0,0 +1,52 @@ +import unittest +from astropy.units import Quantity +import ossssim +from tempfile import NamedTemporaryFile + + +class OSSSIMTest(unittest.TestCase): + # def setUp(self): + + def test_simulate(self): + self.model = ossssim.ModelFile('data/test_model.dat') + result = ossssim.ModelFile('data/test_detect.dat') + self.result_row = next(iter(result)) + result.close() + self.seed = int(result.header['Seed'][0]) + self.osssim = ossssim.OSSSSim('data/Surveys/CFEPS') + + with NamedTemporaryFile() as fobj: + self.detect_filename = fobj.name + temp_results = ossssim.DetectFile(self.detect_filename, + seed=self.seed, + epoch=self.model.epoch, + longitude_neptune=self.model.longitude_neptune, + colors=self.model.colors) + + # loop over the model file until we have a detection and then compare the detected row values to the test row + for row in self.model: + result_row = self.osssim.simulate(row, seed=self.seed, epoch=self.model.epoch, + colors=self.model.colors, model_band=self.model.model_band_pass) + if result_row['flag'] > 0: + temp_results.write_row(result_row) + for key in row: + test_value = row[key] + result_value = result_row[key] + if isinstance(test_value, Quantity): + test_value = test_value.to(ossssim.definitions.column_unit[key]).value + result_value = result_value.to(ossssim.definitions.column_unit[key]).value + self.assertAlmostEqual(test_value, result_value, 4) + break + self.model.close() + temp_results.write_footer(n_iter=1, n_hits=1, n_track=0) + results2 = ossssim.ModelFile(self.detect_filename) + for row in results2: + pass + self.assertEqual(len(results2.table), 1) + self.assertAlmostEqual(results2.colors.colors['default']['r-g'], + result.colors.colors['default']['r-g']) + self.assertEqual(results2.seed, result.seed) + results2.close() + +if __name__ == '__main__': + unittest.main() diff --git a/python/tests/test_ssim_util.py b/src/tests/test_ssim_util.py similarity index 84% rename from python/tests/test_ssim_util.py rename to src/tests/test_ssim_util.py index bc67626..960afc8 100644 --- a/python/tests/test_ssim_util.py +++ b/src/tests/test_ssim_util.py @@ -1,12 +1,13 @@ import unittest from ossssim.models import ModelFile from astropy import units +from astropy.time import Time class SSimModelFileTest(unittest.TestCase): def setUp(self): - self.epoch = 2453157.50000 * units.day + self.epoch = Time(val=2453157.50000, format='jd') self.longitude_neptune = 5.489 * units.radian self.colors = [float(x.replace("d","e")) for x in "0.0d0 -0.70d0 -1.2d0 -1.7d0 0.8d0 0.5d0 0.1d0 -0.8d0 -1.2d0 0.0d0".split()] * units.mag @@ -31,8 +32,10 @@ def test_lambda_neptune(self): self.assertAlmostEqual(self.longitude_neptune, self.model.longitude_neptune) def test_colors(self): - for idx in range(len(self.colors)): - self.assertEqual(self.colors[idx], self.model.colors[idx]) + for idx, key in enumerate(list(self.model.colors.colors['default'])): + if idx > len(self.colors)-1: + break + self.assertEqual(self.colors[idx], self.model.colors.colors['default'][key]) def test_colnames(self): self.assertEqual(self.colnames, self.model.colnames) @@ -50,6 +53,9 @@ def test_targets(self): self.assertEqual(self.row[key], row[key]) break + def tearDown(self): + self.model.close() + if __name__ == '__main__': - unittest.main() \ No newline at end of file + unittest.main()