gw150914.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# What Gravitational wave Template fits GW150914 the best? #\n",
    "\n",
    "Try to fit the LIGO detector data of the GW150914 binary black hole merger to a gravitational-wave template. You can adjust the masses and the spin of the template with the sliders below and see how well it matches up to the data, and how much signal-to-noise you are able to extract. A higher signal-to-noise indicates you have a better match to this data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ahnitz/projects/env/lib/python2.7/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "import pycbc.types\n",
    "from pycbc.catalog import Merger\n",
    "from pycbc.psd import interpolate, inverse_spectrum_truncation\n",
    "\n",
    "ifos = ['H1', 'L1']\n",
    "m = Merger(\"GW150914\")\n",
    "z = m.median1d('redshift')\n",
    "\n",
    "# Load in the detector data\n",
    "data = {ifo:pycbc.types.load_timeseries('gw150914.hdf', group=ifo).time_slice(m.time-8, m.time+8) for ifo in ifos}    \n",
    "\n",
    "# Calculate the power spectral density for each ifo\n",
    "psd = {}\n",
    "for ifo in ifos:\n",
    "    psd[ifo] = interpolate(data[ifo].psd(4), data[ifo].delta_f)\n",
    "    psd[ifo] = inverse_spectrum_truncation(psd[ifo], 4 * data[ifo].sample_rate,\n",
    "                                           low_frequency_cutoff=15.0)\n",
    "\n",
    "# Create a whitened version of the data for plotting\n",
    "wdata = {}\n",
    "for ifo in ifos:\n",
    "    wdata[ifo] = data[ifo].whiten(4, 4).lowpass_fir(300, 1024).highpass_fir(30, 1024)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pycbc.waveform import get_fd_waveform\n",
    "from pycbc.filter import matched_filter\n",
    "from pycbc.filter import sigma\n",
    "\n",
    "def make_snr(ifo, m1, m2, s12):\n",
    "    # Use source frame\n",
    "    m1 *= (1 + z)\n",
    "    m2 *= (1 + z)\n",
    "    hp, hc = get_fd_waveform(approximant=\"IMRPhenomD\", mass1=m1, mass2=m2, spin1z=s12, spin2z=s12,\n",
    "                             f_lower=25, delta_f=data[ifo].delta_f)\n",
    "    hp.resize(len(data[ifo])/2+1)\n",
    "    \n",
    "    snr = matched_filter(hp, data[ifo], psd=psd[ifo], low_frequency_cutoff=30.0)\n",
    "    snr = snr.time_slice(m.time - 1, m.time + 1)\n",
    "    \n",
    "    # Scale template to peak time, phase and amplitude\n",
    "    a = snr.abs_arg_max()\n",
    "    spm = snr[a]\n",
    "    dt = snr.sample_times[a] - data[ifo].start_time\n",
    "    hp.start_time = data[ifo].start_time + dt\n",
    "    snr.template = (hp / sigma(hp, psd=psd[ifo], low_frequency_cutoff=30.0) * spm).cyclic_time_shift(dt)\n",
    "    \n",
    "    # Whiten the and bandpass the template as we've done to the data\n",
    "    snr.template = (snr.template / psd[ifo] ** 0.5).to_timeseries()\n",
    "    snr.template = snr.template.crop(4, 4).lowpass_fir(300, 1024).highpass_fir(30, 1024)\n",
    "    \n",
    "    return snr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
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       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "22891e17fd4f46b3a811860f1c18c421",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "aW50ZXJhY3RpdmUoY2hpbGRyZW49KEZsb2F0U2xpZGVyKHZhbHVlPTIwLjAsIGNvbnRpbnVvdXNfdXBkYXRlPUZhbHNlLCBkZXNjcmlwdGlvbj11JyRNXzEgKE1fXFxvZG90JCknLCBsYXlvdXTigKY=\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "import pylab\n",
    "import ipywidgets as gui\n",
    "\n",
    "pax = {}\n",
    "fig, (ax1, pax['H1'], pax['L1'], ax4) = pylab.subplots(4, 1, figsize=[10, 8], sharex=True)\n",
    "ax1.set_ylim(0, 20)\n",
    "lines = {}\n",
    "lt = {}\n",
    "rt = {}\n",
    "\n",
    "labels={'L1':\"LIGO-Livingston\", 'H1':'LIGO-Hanford'}\n",
    "\n",
    "rtime =  1126259462.4\n",
    "ttext = \"September 14 2015, 09:50:45.4 UTC\"\n",
    "\n",
    "for ifo in ifos:\n",
    "    snr = make_snr(ifo, 37, 37, 0)\n",
    "    lines[ifo], = ax1.plot(snr.sample_times.numpy()-rtime, abs(snr).numpy(), label=labels[ifo])    \n",
    "    pax[ifo].plot(wdata[ifo].sample_times.numpy()-rtime, wdata[ifo].numpy(), color='black', label='Detector Strain')\n",
    "    lt[ifo], = pax[ifo].plot(snr.template.sample_times.numpy()-rtime, snr.template.numpy(), color='magenta', label='GW Template')\n",
    "    pax[ifo].set_ylim(-150, 150)   \n",
    "    rt[ifo] = ax4.plot(wdata[ifo].sample_times.numpy()-rtime,\n",
    "                       wdata[ifo].add_into(-1.0*snr.template).numpy(), label=labels[ifo])[0]  \n",
    "    \n",
    "ax1.legend(loc='upper left')\n",
    "pylab.xlim(-0.15, +0.05)\n",
    "\n",
    "ax1.set_title('Signal-to-noise')\n",
    "ax1.set_ylabel(\"Signal-to-noise Ratio (SNR)\")\n",
    "\n",
    "ax4.set_title('Residual')\n",
    "ax4.set_ylim(-150, 150)\n",
    "ax4.legend(loc='upper left')\n",
    "\n",
    "pax['H1'].legend(loc='upper left')\n",
    "pax['L1'].set_ylabel('Whitened Normalized Strain')\n",
    "pax['H1'].set_title('Data from the LIGO Hanford Observatory (whitened and bandpassed)')\n",
    "pax['L1'].set_title('Data from the LIGO Livingston Observatory (whitened and bandpassed)')\n",
    "ax4.set_xlabel('Time from %s' % ttext)\n",
    "pylab.subplots_adjust(hspace=0.4)\n",
    "\n",
    "def plot(m1, m2, s12):\n",
    "    for ifo in ifos:\n",
    "        snr = make_snr(ifo, m1, m2, s12)\n",
    "        lines[ifo].set_ydata(abs(snr).numpy())\n",
    "        lt[ifo].set_ydata(snr.template.numpy())\n",
    "        rt[ifo].set_ydata(wdata[ifo].add_into(-1.0*snr.template))\n",
    "        \n",
    "    fig.canvas.draw_idle()\n",
    "\n",
    "\n",
    "mslider = gui.FloatSlider(value=20, max=70, min=10,\n",
    "                                readout_format='.1f',\n",
    "                                layout=gui.Layout(width='100%'),\n",
    "                                description='$M_1 (M_\\odot$)',\n",
    "                                step=0.5, continuous_update=False)\n",
    "mslider2 = gui.FloatSlider(value=20, max=70, min=10,\n",
    "                                readout_format='.1f',\n",
    "                                layout=gui.Layout(width='100%'),\n",
    "                                description='$M_2 (M_\\odot$)',\n",
    "                                step=0.5, continuous_update=False)\n",
    "spinslider = gui.FloatSlider(value=0, max=.95, min=-.95,\n",
    "                                readout_format='.2f',\n",
    "                                layout=gui.Layout(width='100%', height='100%'),\n",
    "                                description='Spin',\n",
    "                                step=0.05, continuous_update=False)\n",
    "out = gui.interact(plot, m1=mslider, m2=mslider2, s12=spinslider)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}