agnpy: an open-source python package modelling the radiative processes of jetted active galactic nuclei

This repository contains the scripts to generate the figures included in the paper "agnpy: an open-source python package modelling the radiative processes of jetted active galactic nuclei".

This repository is also archived in zenodo

content of the repository

The repository contains the following files

.
├── agnpy_paper.yml
├── figure_2_synchrotron_example.py
├── figure_3_ec_example.py
├── figure_4_u_targets_example.py
├── figure_5_absorption_example.py
├── figure_6_Mrk421_fit_gammapy.py
├── figure_6_Mrk421_fit_sherpa.py
├── figure_7_PKS1510-089_fit_gammapy.py
├── figure_7_PKS1510-089_fit_sherpa.py
├── figure_8_ssc_validation.py
├── figure_9_ec_disk_validation.py
├── figure_10_ec_blr_validation.py
├── figure_11_ec_dt_validation.py
├── figure_12_ec_cmb_validation.py
├── figure_13_tau_blr_validation.py
├── figure_14_tau_dt_validation.py
├── appendix_B_absorption_resolution.py
├── appendix_B_sed_resolution.py
├── README.md
└── utils.py

scripts

Each python script is named after the figure it produces in the paper, followed by a brief description of the computation performed. Figure 6 and 7, representing the fit of two blazars multi-wavelength SEDs, can be produced either using sherpa or gammapy fitting routines. utils.py contains some utility function for timing and reproduction of the reference results.

yaml environment

The agnpy_paper.yml file can be used to set-up a conda environment containing the same dependencies used in the paper. It is suggested to create a new environment via

conda env create -f agnpy_paper.yml

and activate it

source activate agnpy_paper

after activating the environment each script can be executed via the command line with

python figure_2_synchrotron_example.py

jetset comparison

For the comparisons against jetset we are using a specific tag of the code 1.2.0rc10, it can be installed via the jetset-installer script:

git clone https://github.com/andreatramacere/jetset-installer.git
cd jetset-installer/
python jetset-installer 1.2.0rc10

Docker container

To conserve the exact workflow of the paper we create a Docker container

TODO: make the docker container