{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tutorial 1  for JetSeT v1.2.0-rc3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:95% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:95% !important; }</style>\"))\n",
    "\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic setup and access to Jet class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import jetset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.2.0rc6\n"
     ]
    }
   ],
   "source": [
    "print(jetset.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "See for more details:\n",
    "\n",
    "-     https://jetset.readthedocs.io/en/latest/user_guide/jet_model_phys_SSC/Jet_example_phys_SSC.html\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jetset.jet_model import Jet\n",
    "my_jet=Jet(electron_distribution='lppl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lp: log-parabola\n",
      "pl: powerlaw\n",
      "lppl: log-parabola with low-energy powerlaw branch\n",
      "lpep: log-parabola defined by peak energy\n",
      "plc: powerlaw with cut-off\n",
      "bkn: broken powerlaw\n",
      "superexp: powerlaw with super-exp cut-off\n"
     ]
    }
   ],
   "source": [
    "Jet.available_electron_distributions()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=11</i>\n",
       "<table id=\"table140500680473040-448151\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>model name</th><th>name</th><th>par type</th><th>units</th><th>val</th><th>phys. bound. min</th><th>phys. bound. max</th><th>log</th><th>frozen</th></tr></thead>\n",
       "<tr><td>jet_leptonic</td><td>R</td><td>region_size</td><td>cm</td><td>5.000000e+15</td><td>1.000000e+03</td><td>1.000000e+30</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R_H</td><td>region_position</td><td>cm</td><td>1.000000e+17</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>B</td><td>magnetic_field</td><td>gauss</td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>2.000000e+00</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmax</td><td>high-energy-cut-off</td><td>lorentz-factor*</td><td>1.000000e+06</td><td>1.000000e+00</td><td>1.000000e+15</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>N</td><td>emitters_density</td><td>1 / cm3</td><td>1.000000e+02</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma0_log_parab</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>1.000000e+04</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>s</td><td>LE_spectral_slope</td><td></td><td>2.000000e+00</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>r</td><td>spectral_curvature</td><td></td><td>4.000000e-01</td><td>-1.500000e+01</td><td>1.500000e+01</td><td>False</td><td>False</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140500680473040-448151').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table140500680473040-448151').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [4, 5, 6], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_jet.show_pars()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=11</i>\n",
       "<table id=\"table140500680474432\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>model name</th><th>name</th><th>par type</th><th>units</th><th>val</th><th>phys. bound. min</th><th>phys. bound. max</th><th>log</th><th>frozen</th></tr></thead>\n",
       "<thead><tr><th>str12</th><th>str16</th><th>str19</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>bool</th></tr></thead>\n",
       "<tr><td>jet_leptonic</td><td>R</td><td>region_size</td><td>cm</td><td>5.000000e+15</td><td>1.000000e+03</td><td>1.000000e+30</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R_H</td><td>region_position</td><td>cm</td><td>1.000000e+17</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>B</td><td>magnetic_field</td><td>gauss</td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>2.000000e+00</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmax</td><td>high-energy-cut-off</td><td>lorentz-factor*</td><td>1.000000e+06</td><td>1.000000e+00</td><td>1.000000e+15</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>N</td><td>emitters_density</td><td>1 / cm3</td><td>1.000000e+02</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma0_log_parab</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>1.000000e+04</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>s</td><td>LE_spectral_slope</td><td></td><td>2.000000e+00</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>r</td><td>spectral_curvature</td><td></td><td>4.000000e-01</td><td>-1.500000e+01</td><td>1.500000e+01</td><td>False</td><td>False</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=11>\n",
       " model name        name             par type      ...  log  frozen\n",
       "   str12          str16              str19        ...  bool  bool \n",
       "------------ ---------------- ------------------- ... ----- ------\n",
       "jet_leptonic                R         region_size ... False  False\n",
       "jet_leptonic              R_H     region_position ... False   True\n",
       "jet_leptonic                B      magnetic_field ... False  False\n",
       "jet_leptonic         beam_obj             beaming ... False  False\n",
       "jet_leptonic           z_cosm            redshift ... False  False\n",
       "jet_leptonic             gmin  low-energy-cut-off ... False  False\n",
       "jet_leptonic             gmax high-energy-cut-off ... False  False\n",
       "jet_leptonic                N    emitters_density ... False  False\n",
       "jet_leptonic gamma0_log_parab    turn-over-energy ... False  False\n",
       "jet_leptonic                s   LE_spectral_slope ... False  False\n",
       "jet_leptonic                r  spectral_curvature ... False  False"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_jet.parameters.par_table\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--------------------------------------------------------------------------------\n",
      "jet model description\n",
      "--------------------------------------------------------------------------------\n",
      "name: jet_leptonic  \n",
      "\n",
      "electrons distribution:\n",
      " type: lppl  \n",
      " gamma energy grid size:  201\n",
      " gmin grid : 2.000000e+00\n",
      " gmax grid : 1.000000e+06\n",
      " normalization  True\n",
      " log-values  False\n",
      "\n",
      "radiative fields:\n",
      " seed photons grid size:  100\n",
      " IC emission grid size:  100\n",
      " source emissivity lower bound :  1.000000e-120\n",
      " spectral components:\n",
      "   name:Sum, state: on\n",
      "   name:Sync, state: self-abs\n",
      "   name:SSC, state: on\n",
      "external fields transformation method: blob\n",
      "\n",
      "SED info:\n",
      " nu grid size jetkernel: 1000\n",
      " nu grid size: 500\n",
      " nu mix (Hz): 1.000000e+06\n",
      " nu max (Hz): 1.000000e+30\n",
      "\n",
      "flux plot lower bound   :  1.000000e-30\n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<i>Table length=11</i>\n",
       "<table id=\"table140500633205968-6235\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>model name</th><th>name</th><th>par type</th><th>units</th><th>val</th><th>phys. bound. min</th><th>phys. bound. max</th><th>log</th><th>frozen</th></tr></thead>\n",
       "<tr><td>jet_leptonic</td><td>R</td><td>region_size</td><td>cm</td><td>5.000000e+15</td><td>1.000000e+03</td><td>1.000000e+30</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R_H</td><td>region_position</td><td>cm</td><td>1.000000e+17</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>B</td><td>magnetic_field</td><td>gauss</td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>2.000000e+00</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmax</td><td>high-energy-cut-off</td><td>lorentz-factor*</td><td>1.000000e+06</td><td>1.000000e+00</td><td>1.000000e+15</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>N</td><td>emitters_density</td><td>1 / cm3</td><td>1.000000e+02</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma0_log_parab</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>1.000000e+04</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>s</td><td>LE_spectral_slope</td><td></td><td>2.000000e+00</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>r</td><td>spectral_curvature</td><td></td><td>4.000000e-01</td><td>-1.500000e+01</td><td>1.500000e+01</td><td>False</td><td>False</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140500633205968-6235').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table140500633205968-6235').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [4, 5, 6], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "my_jet.show_model()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.set_par('B',val=0.2)\n",
    "my_jet.set_par('gamma0_log_parab',val=5E3)\n",
    "my_jet.set_par('gmin',val=1E2)\n",
    "my_jet.set_par('gmax',val=1E8)\n",
    "my_jet.set_par('R',val=1E15)\n",
    "my_jet.set_par('N',val=1E3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.parameters.B.val=0.2\n",
    "my_jet.parameters.r.val=0.4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------------\n",
      "electrons distribution:\n",
      " type: lppl  \n",
      " gamma energy grid size:  201\n",
      " gmin grid : 2.000000e+00\n",
      " gmax grid : 1.000000e+06\n",
      " normalization  True\n",
      " log-values  False\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<i>Table length=11</i>\n",
       "<table id=\"table140500633205968-433192\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>model name</th><th>name</th><th>par type</th><th>units</th><th>val</th><th>phys. bound. min</th><th>phys. bound. max</th><th>log</th><th>frozen</th></tr></thead>\n",
       "<tr><td>jet_leptonic</td><td>B</td><td>magnetic_field</td><td>gauss</td><td>2.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>N</td><td>emitters_density</td><td>1 / cm3</td><td>1.000000e+03</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R</td><td>region_size</td><td>cm</td><td>1.000000e+15</td><td>1.000000e+03</td><td>1.000000e+30</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R_H</td><td>region_position</td><td>cm</td><td>1.000000e+17</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma0_log_parab</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>5.000000e+03</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmax</td><td>high-energy-cut-off</td><td>lorentz-factor*</td><td>1.000000e+08</td><td>1.000000e+00</td><td>1.000000e+15</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>1.000000e+02</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>r</td><td>spectral_curvature</td><td></td><td>4.000000e-01</td><td>-1.500000e+01</td><td>1.500000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>s</td><td>LE_spectral_slope</td><td></td><td>2.000000e+00</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140500633205968-433192').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table140500633205968-433192').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [4, 5, 6], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_jet.show_electron_distribution()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p=my_jet.electron_distribution.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p=my_jet.electron_distribution.plot(energy_unit='TeV')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p=my_jet.electron_distribution.plot3p()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from jetset.plot_sedfit import PlotSED\n",
    "my_plot=PlotSED()\n",
    "my_plot=my_jet.plot_model(plot_obj=my_plot)\n",
    "#my_plot.rescale(y_max=-12,y_min=-17.5,x_min=8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_plot=my_jet.plot_model(frame='src')\n",
    "my_plot.rescale(y_max=45,y_min=38,x_min=8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_plot=my_jet.plot_model(frame='src',density=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum\n",
      "Sync\n",
      "SSC\n"
     ]
    }
   ],
   "source": [
    "my_jet.list_spectral_components()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "Sync=my_jet.spectral_components.Sync\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "Sync=my_jet.get_spectral_component_by_name('Sync')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "nu_sync=Sync.SED.nu\n",
    "nuFnu_sync=Sync.SED.nuFnu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "nu_sync_src=Sync.SED.nu_src\n",
    "nuLnu_sync_src=Sync.SED.nuLnu_src"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.spectral_components.build_table(restframe='obs')\n",
    "t_obs=my_jet.spectral_components.table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=50</i>\n",
       "<table id=\"table140500708126000\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>nu</th><th>Sum</th><th>Sync</th><th>SSC</th></tr></thead>\n",
       "<thead><tr><th>Hz</th><th>erg / (cm2 s)</th><th>erg / (cm2 s)</th><th>erg / (cm2 s)</th></tr></thead>\n",
       "<thead><tr><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
       "<tr><td>1000000.0</td><td>-10000000000.0</td><td>-10000000000.0</td><td>-10000000000.0</td></tr>\n",
       "<tr><td>3026648.059395689</td><td>-10000000000.0</td><td>-10000000000.0</td><td>-10000000000.0</td></tr>\n",
       "<tr><td>9160598.47544371</td><td>-26.730398398790477</td><td>-26.730398398790477</td><td>-10000000000.0</td></tr>\n",
       "<tr><td>27725907.59860481</td><td>-25.28738932420091</td><td>-25.28738932420091</td><td>-10000000000.0</td></tr>\n",
       "<tr><td>83916564.42830162</td><td>-23.844245107617137</td><td>-23.844245107617137</td><td>-10000000000.0</td></tr>\n",
       "<tr><td>253985906.87807292</td><td>-22.40082062305801</td><td>-22.40082062305801</td><td>-10000000000.0</td></tr>\n",
       "<tr><td>768725952.1663721</td><td>-20.956766734381453</td><td>-20.956766734381453</td><td>-10000000000.0</td></tr>\n",
       "<tr><td>2326662911.331458</td><td>-19.511335693381334</td><td>-19.511335693381334</td><td>-10000000000.0</td></tr>\n",
       "<tr><td>7041989785.449296</td><td>-18.06326082741312</td><td>-18.06326082741312</td><td>-10000000000.0</td></tr>\n",
       "<tr><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
       "<tr><td>1.7317171337233599e+25</td><td>-13.085383438369659</td><td>-10000000000.0</td><td>-13.085383438369659</td></tr>\n",
       "<tr><td>5.2412983022060615e+25</td><td>-13.300468756942928</td><td>-10000000000.0</td><td>-13.300468756942928</td></tr>\n",
       "<tr><td>1.5863565335085865e+26</td><td>-13.656943931777008</td><td>-10000000000.0</td><td>-13.656943931777008</td></tr>\n",
       "<tr><td>4.801342923653465e+26</td><td>-14.166020196895486</td><td>-10000000000.0</td><td>-14.166020196895486</td></tr>\n",
       "<tr><td>1.4531975242368953e+27</td><td>-14.849648723530951</td><td>-10000000000.0</td><td>-14.849648723530951</td></tr>\n",
       "<tr><td>4.3983174666502106e+27</td><td>-15.709237569862317</td><td>-10000000000.0</td><td>-15.709237569862317</td></tr>\n",
       "<tr><td>1.3312159025043105e+28</td><td>-16.75032230397738</td><td>-10000000000.0</td><td>-16.75032230397738</td></tr>\n",
       "<tr><td>4.029122027951344e+28</td><td>-18.037999026382845</td><td>-10000000000.0</td><td>-18.037999026382845</td></tr>\n",
       "<tr><td>1.2194734366967333e+29</td><td>-10000000000.0</td><td>-10000000000.0</td><td>-10000000000.0</td></tr>\n",
       "<tr><td>3.690916910662782e+29</td><td>-10000000000.0</td><td>-10000000000.0</td><td>-10000000000.0</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=50>\n",
       "          nu                   Sum         ...         SSC        \n",
       "          Hz              erg / (cm2 s)    ...    erg / (cm2 s)   \n",
       "       float64               float64       ...       float64      \n",
       "---------------------- ------------------- ... -------------------\n",
       "             1000000.0      -10000000000.0 ...      -10000000000.0\n",
       "     3026648.059395689      -10000000000.0 ...      -10000000000.0\n",
       "      9160598.47544371 -26.730398398790477 ...      -10000000000.0\n",
       "     27725907.59860481  -25.28738932420091 ...      -10000000000.0\n",
       "     83916564.42830162 -23.844245107617137 ...      -10000000000.0\n",
       "    253985906.87807292  -22.40082062305801 ...      -10000000000.0\n",
       "     768725952.1663721 -20.956766734381453 ...      -10000000000.0\n",
       "     2326662911.331458 -19.511335693381334 ...      -10000000000.0\n",
       "     7041989785.449296  -18.06326082741312 ...      -10000000000.0\n",
       "                   ...                 ... ...                 ...\n",
       "1.7317171337233599e+25 -13.085383438369659 ... -13.085383438369659\n",
       "5.2412983022060615e+25 -13.300468756942928 ... -13.300468756942928\n",
       "1.5863565335085865e+26 -13.656943931777008 ... -13.656943931777008\n",
       " 4.801342923653465e+26 -14.166020196895486 ... -14.166020196895486\n",
       "1.4531975242368953e+27 -14.849648723530951 ... -14.849648723530951\n",
       "4.3983174666502106e+27 -15.709237569862317 ... -15.709237569862317\n",
       "1.3312159025043105e+28  -16.75032230397738 ...  -16.75032230397738\n",
       " 4.029122027951344e+28 -18.037999026382845 ... -18.037999026382845\n",
       "1.2194734366967333e+29      -10000000000.0 ...      -10000000000.0\n",
       " 3.690916910662782e+29      -10000000000.0 ...      -10000000000.0"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_obs[::10]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.spectral_components.build_table(restframe='src')\n",
    "t_src=my_jet.spectral_components.table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$[-6.2415091 \\times 10^{12},~-6.2415091 \\times 10^{12},~-16683.802,~-15783.147,~-14882.407,~-13981.493,~-13080.185,~-12178.018,~-11274.201,~-10384.006,~-9753.7655,~-9462.7534,~-9297.3459,~-9147.4439,~-8998.4768,~-8851.1604,~-8707.8617,~-8573.1367,~-8454.4006,~-8359.2934,~-8289.3014,~-8244.8571,~-8227.1767,~-8235.469,~-8269.8818,~-8331.5622,~-8419.8189,~-8534.6151,~-8676.9118,~-8846.3046,~-9042.5397,~-9266.3911,~-9517.8098,~-9796.6817,~-10107.134,~-10482.749,~-11105.308,~-12642.087,~-17222.381,~-6.2415091 \\times 10^{12},~-6.2415091 \\times 10^{12},~-6.2415091 \\times 10^{12},~-6.2415091 \\times 10^{12},~-6.2415091 \\times 10^{12},~-6.2415091 \\times 10^{12},~-6.2415091 \\times 10^{12},~-6.2415091 \\times 10^{12},~-6.2415091 \\times 10^{12},~-6.2415091 \\times 10^{12},~-6.2415091 \\times 10^{12}] \\; \\mathrm{\\frac{GeV}{s\\,cm^{2}}}$"
      ],
      "text/plain": [
       "<Quantity [-6.24150907e+12, -6.24150907e+12, -1.66838024e+04,\n",
       "           -1.57831470e+04, -1.48824072e+04, -1.39814925e+04,\n",
       "           -1.30801850e+04, -1.21780179e+04, -1.12742006e+04,\n",
       "           -1.03840060e+04, -9.75376548e+03, -9.46275343e+03,\n",
       "           -9.29734591e+03, -9.14744385e+03, -8.99847680e+03,\n",
       "           -8.85116043e+03, -8.70786170e+03, -8.57313673e+03,\n",
       "           -8.45440060e+03, -8.35929336e+03, -8.28930143e+03,\n",
       "           -8.24485709e+03, -8.22717675e+03, -8.23546901e+03,\n",
       "           -8.26988185e+03, -8.33156222e+03, -8.41981886e+03,\n",
       "           -8.53461508e+03, -8.67691180e+03, -8.84630459e+03,\n",
       "           -9.04253971e+03, -9.26639112e+03, -9.51780978e+03,\n",
       "           -9.79668166e+03, -1.01071338e+04, -1.04827488e+04,\n",
       "           -1.11053077e+04, -1.26420869e+04, -1.72223806e+04,\n",
       "           -6.24150907e+12, -6.24150907e+12, -6.24150907e+12,\n",
       "           -6.24150907e+12, -6.24150907e+12, -6.24150907e+12,\n",
       "           -6.24150907e+12, -6.24150907e+12, -6.24150907e+12,\n",
       "           -6.24150907e+12, -6.24150907e+12] GeV / (cm2 s)>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_obs['Sync'][::10].to('GeV/cm2 s')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "t_src.write('test_SED.txt',format='ascii.ecsv',overwrite=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=37</i>\n",
       "<table id=\"table140500714152432-845527\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>name</th><th>type</th><th>units</th><th>val</th></tr></thead>\n",
       "<tr><td>U_e</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>4.950261e-01</td></tr>\n",
       "<tr><td>U_p_cold</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_B</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>1.591549e-03</td></tr>\n",
       "<tr><td>U_p</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_p_target</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_Synch</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>1.316122e-02</td></tr>\n",
       "<tr><td>U_Synch_DRF</td><td>Energy dens. disk rest. frame</td><td>erg / cm3</td><td>1.316122e+02</td></tr>\n",
       "<tr><td>U_Disk</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_BLR</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_DT</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_CMB</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_Disk_DRF</td><td>Energy dens. disk rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_BLR_DRF</td><td>Energy dens. disk rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_DT_DRF</td><td>Energy dens. disk rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_CMB_DRF</td><td>Energy dens. disk rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>L_Sync_rf</td><td>Lum. blob rest. frme.</td><td>erg / s</td><td>1.652654e+39</td></tr>\n",
       "<tr><td>L_SSC_rf</td><td>Lum. blob rest. frme.</td><td>erg / s</td><td>2.158648e+39</td></tr>\n",
       "<tr><td>L_EC_Disk_rf</td><td>Lum. blob rest. frme.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>L_EC_BLR_rf</td><td>Lum. blob rest. frme.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>L_EC_DT_rf</td><td>Lum. blob rest. frme.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>L_EC_CMB_rf</td><td>Lum. blob rest. frme.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>L_pp_gamma_rf</td><td>Lum. blob rest. frme.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_Sync</td><td>jet Lum.</td><td>erg / s</td><td>4.131634e+40</td></tr>\n",
       "<tr><td>jet_L_SSC</td><td>jet Lum.</td><td>erg / s</td><td>5.396619e+40</td></tr>\n",
       "<tr><td>jet_L_EC_Disk</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_EC_BLR</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_EC_DT</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_EC_CMB</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_pp_gamma</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_rad</td><td>jet Lum.</td><td>erg / s</td><td>9.528254e+40</td></tr>\n",
       "<tr><td>jet_L_kin</td><td>jet Lum.</td><td>erg / s</td><td>4.638913e+42</td></tr>\n",
       "<tr><td>jet_L_tot</td><td>jet Lum.</td><td>erg / s</td><td>4.749110e+42</td></tr>\n",
       "<tr><td>jet_L_e</td><td>jet Lum.</td><td>erg / s</td><td>4.638913e+42</td></tr>\n",
       "<tr><td>jet_L_B</td><td>jet Lum.</td><td>erg / s</td><td>1.491449e+40</td></tr>\n",
       "<tr><td>jet_L_p_cold</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_p</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>BulkLorentzFactor</td><td></td><td></td><td>1.000000e+01</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140500714152432-845527').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table140500714152432-845527').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [3], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_jet.energetic_report()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=37</i>\n",
       "<table id=\"table140500714152432\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>name</th><th>type</th><th>units</th><th>val</th></tr></thead>\n",
       "<thead><tr><th>str17</th><th>str29</th><th>object</th><th>float64</th></tr></thead>\n",
       "<tr><td>U_e</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>4.950261e-01</td></tr>\n",
       "<tr><td>U_p_cold</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_B</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>1.591549e-03</td></tr>\n",
       "<tr><td>U_p</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_p_target</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_Synch</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>1.316122e-02</td></tr>\n",
       "<tr><td>U_Synch_DRF</td><td>Energy dens. disk rest. frame</td><td>erg / cm3</td><td>1.316122e+02</td></tr>\n",
       "<tr><td>U_Disk</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_BLR</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_DT</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
       "<tr><td>jet_L_EC_CMB</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_pp_gamma</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_rad</td><td>jet Lum.</td><td>erg / s</td><td>9.528254e+40</td></tr>\n",
       "<tr><td>jet_L_kin</td><td>jet Lum.</td><td>erg / s</td><td>4.638913e+42</td></tr>\n",
       "<tr><td>jet_L_tot</td><td>jet Lum.</td><td>erg / s</td><td>4.749110e+42</td></tr>\n",
       "<tr><td>jet_L_e</td><td>jet Lum.</td><td>erg / s</td><td>4.638913e+42</td></tr>\n",
       "<tr><td>jet_L_B</td><td>jet Lum.</td><td>erg / s</td><td>1.491449e+40</td></tr>\n",
       "<tr><td>jet_L_p_cold</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_p</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>BulkLorentzFactor</td><td></td><td></td><td>1.000000e+01</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=37>\n",
       "       name                    type               units       val     \n",
       "      str17                   str29               object    float64   \n",
       "----------------- ----------------------------- --------- ------------\n",
       "              U_e Energy dens. blob rest. frame erg / cm3 4.950261e-01\n",
       "         U_p_cold Energy dens. blob rest. frame erg / cm3 0.000000e+00\n",
       "              U_B Energy dens. blob rest. frame erg / cm3 1.591549e-03\n",
       "              U_p Energy dens. blob rest. frame erg / cm3 0.000000e+00\n",
       "       U_p_target Energy dens. blob rest. frame erg / cm3 0.000000e+00\n",
       "          U_Synch Energy dens. blob rest. frame erg / cm3 1.316122e-02\n",
       "      U_Synch_DRF Energy dens. disk rest. frame erg / cm3 1.316122e+02\n",
       "           U_Disk Energy dens. blob rest. frame erg / cm3 0.000000e+00\n",
       "            U_BLR Energy dens. blob rest. frame erg / cm3 0.000000e+00\n",
       "             U_DT Energy dens. blob rest. frame erg / cm3 0.000000e+00\n",
       "              ...                           ...       ...          ...\n",
       "     jet_L_EC_CMB                      jet Lum.   erg / s 0.000000e+00\n",
       "   jet_L_pp_gamma                      jet Lum.   erg / s 0.000000e+00\n",
       "        jet_L_rad                      jet Lum.   erg / s 9.528254e+40\n",
       "        jet_L_kin                      jet Lum.   erg / s 4.638913e+42\n",
       "        jet_L_tot                      jet Lum.   erg / s 4.749110e+42\n",
       "          jet_L_e                      jet Lum.   erg / s 4.638913e+42\n",
       "          jet_L_B                      jet Lum.   erg / s 1.491449e+40\n",
       "     jet_L_p_cold                      jet Lum.   erg / s 0.000000e+00\n",
       "          jet_L_p                      jet Lum.   erg / s 0.000000e+00\n",
       "BulkLorentzFactor                                         1.000000e+01"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_jet.energetic_report_table\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.save_model('test_model.pkl')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=11</i>\n",
       "<table id=\"table140500714578896-394622\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>model name</th><th>name</th><th>par type</th><th>units</th><th>val</th><th>phys. bound. min</th><th>phys. bound. max</th><th>log</th><th>frozen</th></tr></thead>\n",
       "<tr><td>jet_leptonic</td><td>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>1.000000e+02</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmax</td><td>high-energy-cut-off</td><td>lorentz-factor*</td><td>1.000000e+08</td><td>1.000000e+00</td><td>1.000000e+15</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>N</td><td>emitters_density</td><td>1 / cm3</td><td>1.000000e+03</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma0_log_parab</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>5.000000e+03</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>s</td><td>LE_spectral_slope</td><td></td><td>2.000000e+00</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>r</td><td>spectral_curvature</td><td></td><td>4.000000e-01</td><td>-1.500000e+01</td><td>1.500000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R</td><td>region_size</td><td>cm</td><td>1.000000e+15</td><td>1.000000e+03</td><td>1.000000e+30</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R_H</td><td>region_position</td><td>cm</td><td>1.000000e+17</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>B</td><td>magnetic_field</td><td>gauss</td><td>2.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140500714578896-394622').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table140500714578896-394622').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [4, 5, 6], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_jet_new=Jet.load_model('test_model.pkl')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_plot=my_jet_new.plot_model()\n",
    "my_plot.rescale(y_max=-11,y_min=-17.5,x_min=8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define custom emiotters distribution"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "See for more details:\n",
    "\n",
    "-     https://jetset.readthedocs.io/en/latest/user_guide/custom_emitters_distr/custom_emitters.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jetset.jet_emitters import EmittersDistribution\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "def distr_func_super_exp(gamma,gamma_cut,s,a):\n",
    "    return np.power(gamma,-s)*np.exp(-(1/a)*(gamma/gamma_cut)**a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_e_super_exp=EmittersDistribution('super_exp',spectral_type='plc',normalize=False)\n",
    "n_e_super_exp.add_par('gamma_cut',par_type='turn-over-energy',val=50000.,vmin=1., vmax=None, unit='lorentz-factor')\n",
    "n_e_super_exp.add_par('s',par_type='LE_spectral_slope',val=2.3,vmin=-10., vmax=10, unit='')\n",
    "n_e_super_exp.add_par('a',par_type='spectral_curvature',val=1.8,vmin=0., vmax=100., unit='')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_e_super_exp.set_distr_func(distr_func_super_exp)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=6</i>\n",
       "<table id=\"table140500720094464-12230\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>name</th><th>par type</th><th>units</th><th>val</th><th>phys. bound. min</th><th>phys. bound. max</th><th>log</th><th>frozen</th></tr></thead>\n",
       "<tr><td>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>2.000000e+00</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>gmax</td><td>high-energy-cut-off</td><td>lorentz-factor*</td><td>1.000000e+06</td><td>1.000000e+00</td><td>1.000000e+15</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>N</td><td>emitters_density</td><td>1 / cm3</td><td>1.000000e+02</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>gamma_cut</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>5.000000e+04</td><td>1.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>s</td><td>LE_spectral_slope</td><td></td><td>2.300000e+00</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>a</td><td>spectral_curvature</td><td></td><td>1.800000e+00</td><td>0.000000e+00</td><td>1.000000e+02</td><td>False</td><td>False</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140500720094464-12230').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table140500720094464-12230').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [3, 4, 5], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n_e_super_exp.parameters.show_pars()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p=n_e_super_exp.plot()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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aPn+SZufewcju7e3dYz0/Ozt61LKzUz0D461+oewsLa6cPPxUF9PsDKQaAg6AOa20MFerC8u0epJm57au/gkrOo8ucvjY1jYNDI83O4dD2WM9Pk2jjc5VRWqsDKu0kMUNgSAQcABgEmammpJ81ZTk68KmiTu5D4+49k6yk/uLrUf00Ev7FNPrrIrw+E7uTdHFDRuiKzsXhvhXMJAs/NMFAHHKzjItrIg0JV+ytHrCuf6hYe3u7NWO6J1eo+Hn19vadO/zrROunV+aP7aZaVN0uquhKqyF5YUK5bC4ITATBBwASKC8nGydXlOs02uKJc2bcK6nf2hsQcMdoxuadvTowRf36cixwbHrsrNMC8sLJuzi3lhVpIaqQtWVFrCTOzAFBBwAmCXhvJxJd3KXpEM9AxPW9Rl9PLu9U8cGx5ud83Kyxqa4GquKxnp+GirDqipiJ3dgFAEHAFJAeTik88Ihnbe4fMJxd9eBo7HNzpFpr20Hu/XLLQc1ODze8FOclzNhQcOxnp+qsErYyR1zDAEHAFKYmam2NF+1pfm6+LSJzc5DwyPaM0mz8/OvHdLPXtyr2IXqq4rGm50bqyPTXg3R1+zkjkxEwAGANJWTnaXFlWEtrgzrsmUTz/UNDuu1zvHFDXe0Rfp9Hnu5Tf/53Hizs5lUV1qg02qKdHp1kU6rCUf/LFJlmCkvpC8CDgBkoPzcbC2dV6yl84pPONfVNxjZz6ujR9vburW9rUevtnVr3Y4O9Q2Or+9TWpCr02uKdFp1WKdVF0WfF2lhRSGrOiPlEXAAYI4pzs/VWQtKddaCic3Oo5uZvtrWo1cPdmtbW7dePditX25p090t46M+oewsNVaFdVrNxODTVB1mbR+kDP4mAgAkTdzM9NLj1vc53DsQCT7R0PNqW7c27+vSwxv2T1jYsL6sQE0xIz5Laoq0rLZYZYWhWf5tMNcRcAAAp1RWGNJ5i0+8y6t/aFi7OnojIz7R4PNqW4/ubtmt3pi9vOaV5GnpvGItm1esZbWRx5KaYhWEaHBGchBwAADTlpczea/PyIhr39E+vXKgSy8f6NKW/ZE/f/jMLvUPRfp8zKTFFYVaOq9YZ9QWa2lt5M+GyrByslnJGTNDwAEAJFxWlqm+rED1ZQW6bFnN2PHhEdeujp4JoWfL/i6t3XxgbKorlJ2lJfOKdGZdqc6sL9HK+lItry1htAdxMY9dKCHDNDc3e0tLS9BlAABOoW9wWK+2dWvr/i5t3d+lTfuOasOeIzrUG9nCIsuk06qLdGZ9qVbWlYz9WcwChnOemT3n7s3HH2cEBwAQuPzcbK2sK9XKuvE7u9xd+470acOeI9qw96g27jmip1/t0E9e2CMpMsW1pKZI5yws1+pFZTpnUZmW1BRzCzskEXAAACnKzFRXVqC6sgK9fWXt2PG2rn5t2HtEL7Ue0QuvHdLPN+3XXS27JUnhULbOXlim8xaX66KmSp27qJyprTmKKSoAQFpzd+3q6NULuw/phdcO6/nXDmnzvi4Nj7hys02rF5bpoqZKAk+GOtkUFQEHAJBxuvoG1bLrkJ7Z3qFntndqw54jY4HnnEXlunRptS5bVq0V80vYjiLNEXAAAHNWd/+QWnZ26untHfr1K+3auPeoJKm6OE+XLq3W21bM0yVLqhndSUMEHAAAog4e7dPjL7fp8Zfb9MTLbTraN6SC3Gxdfka1rlxZq7ecUcMdWmmCgAMAwCQGh0f07PZOPbxxn36+8YDauvoVysnS21bM0x+eW69LllSz8GAKI+AAAHAKIyOuF3Yf0gPr9+qB3+3Vod5BVRWFdPXqer23eaGW1Z64OzuCRcABACAOA0MjemzrQd33/B49uuWABoddFzdV6vo3NOiK5TWM6qQIAg4AANN0qGdAd7Xs1g+f3qU9h4+pvqxAH7x4sd534SKV0KsTKAIOAAAzNDQ8orWbD+r23+zU09s7VFqQqz99U6M+9MYGmpIDQsABACCBNuw5oq+vfUVrNx9QaUGuPvrmRl3/BoLObCPgAACQBC+1HtE3Hn1ZazcfVEU4pBuvWqbrzluoLPbEmhUnCzh0SAEAMANnLSjVd68/X/d/8o06rTqsG+99Sdf+22/0YuvhoEub0wg4AAAkwNkLy3T3xy7WV997tloPHdPV33xK/+snL+lw70DQpc1JBBwAABLEzHTtuQv0y89fqg+/oVF3/Xa33va1J/SrLQeDLm3OIeAAAJBgJfm5+uK7Vuj+T75RFYUhffi23+qm+15S3+Bw0KXNGQQcAACS5Mz6Uj3wqTfqY5c26c51r+kPvvmUXm3rDrqsOYGAAwBAEuXlZOumdyzXbR8+Xwe7+vXuW36tRzbuD7qsjEfAAQBgFly2rEYPfvpNOr2mSB+74zl981fblMlLtQSNgAMAwCyZX1qguz52sd59dp2+8vOt+h/3vKih4ZGgy8pIOUEXAADAXJKfm62v/9FqNVSG9Y1HX9Hh3gHd8sfnqiCUHXRpGYURHAAAZpmZ6S/etlR/f/VKPbrloK7/wTr19A8FXVZGIeAAABCQD17coG+sOUctOzv1kdt+q94BQk6iEHAAAAjQu8+u09f+aLV+u7NTf3JbC2vlJEhKBRwz+4qZbTGzF83sJ2ZWFnPuJjPbZmZbzezKAMsEACChrl5dr39979l6enuHPvvj9Roe4e6qmUqpgCPpF5LOdPdVkl6WdJMkmdkKSWskrZR0laRvmRndWACAjHHNOQv01+9coYc37teXfraRW8hnKKUCjrs/4u6jE5DPSFoQfX61pB+7e7+775C0TdIFQdQIAECy/MmbGnXDJU3696d36btP7gi6nLSWUgHnOB+R9N/R5/WSdseca40eO4GZ3WBmLWbW0tbWluQSAQBIrP951Rn6vbNq9Y//vVlPvsL/j03XrAccM1trZhsmeVwdc80XJA1J+tHooUneatKxO3e/1d2b3b25uro68b8AAABJlJVl+sp7ztbSecX68/94Qa919AZdUlqa9YDj7le4+5mTPO6XJDO7XtI7Jb3fxycgWyUtjHmbBZL2zm7lAADMjnBejm79YLMk6WN3PMedVdOQUlNUZnaVpBslvdvdYyPrA5LWmFmemTVKWiJpXRA1AgAwGxZVFuprf3S2Nu87qi8/vCXoctJOSgUcSf9HUrGkX5jZejP7tiS5+0ZJd0vaJOlhSZ90d+IsACCjveWMefrQGxr0g6d26tHNB4IuJ61YJt+G1tzc7C0tLUGXAQDAtPUNDuuab/1GB4726ZG/uERVRXlBl5RSzOw5d28+/niqjeAAAIAY+bnZ+t9rVqu7b0h/+8DGoMtJGwQcAABS3JJ5xfrUW07Xf724T49s3B90OWmBgAMAQBr4+GWnafn8Ev3VTzfoyLHBoMtJeQQcAADSQG52lr7ynlVq7+7XVx/ZGnQ5KY+AAwBAmjizvlQfuGix7nj2NW3ZfzToclIaAQcAgDTyubctVXF+jr70wCY25HwdBBwAANJIWWFI/+/bl+np7R367w00HJ8MAQcAgDTzvgsW6YzaYn354S0aHB4JupyURMABACDNZGeZ/vKqZdrV0au7W3YHXU5KIuAAAJCGLl9Wo+bF5frfj77CZpyTIOAAAJCGzEz/48plOnC0X//+9M6gy0k5BBwAANLUhU2VumRptb712Kvq6R8KupyUQsABACCNffaKJTrcO6g7170WdCkphYADAEAaO3dRuS5qqtB3n9yhgSHuqBpFwAEAIM194rLTtf9on366fk/QpaQMAg4AAGnukiVVWllXom8//qpGRljdWCLgAACQ9sxMn7jsNG1v69HazQeCLiclEHAAAMgAV62sVV1pvv796V1Bl5ISCDgAAGSAnOwsvf+ixfr1tnZtO9gVdDmBI+AAAJAh1py/UKHsLP2QURwCDgAAmaKyKE/vXDVf9z6/R91zfOE/Ag4AABnk/3lDg7r7h3Tf861BlxIoAg4AABlk9cIynVlfoh+vm9u7jBNwAADIMO9tXqhN+45q494jQZcSGAIOAAAZ5l2r6hTKztI9z83daSoCDgAAGaY8HNIVK2p0//q9c3Z/KgIOAAAZ6D3nLVBnz4B+tfVg0KUEgoADAEAGumRJtaqL8+bsNBUBBwCADJSTnaVrzqnXr7Yc1OHegaDLmXUEHAAAMtQ7V83X0IjrkY1zbwNOAg4AABnqrPpSLaoo1H+9tC/oUmbdtAKOmYXNLDvRxQAAgMQxM/3+qvl6alu7DvXMrWmqKQUcM8sys/eZ2YNmdlDSFkn7zGyjmX3FzJYkt0wAADAdv3/WfA2PuH6+cX/QpcyqqY7g/ErSaZJuklTr7gvdvUbSmyU9I+mfzOwDSaoRAABM08q6EjVUFurBOTZNlTPF665w98HjD7p7p6R7Jd1rZrkJrQwAAMzY6DTVtx/fro7uflUW5QVd0qyY0gjOZOFmOtcAAIDZ944zI9NUj26ZO4v+xd1kbGY3JqMQAACQHCvrSjS/NF+Pbp47t4ufcorKzO6OfSlptaQvJ6sgAACQWGamt5xRo5+8sEd9g8PKz838G6GnMoJz1N3fG31cJ2ltsosCAACJdcXyeeodGNazOzqDLmVWTCXg3CxJZlYVff2F5JUDAACS4eLTKlWQmz1npqlOGXDcfUf06fejr+dG9AMAIIPk52brTUuq9Ojmg3L3oMtJuniajC1pVQAAgKS7YnmN9hw+pi37u4IuJeniCThJj3tm9vdm9qKZrTezR8ysLubcTWa2zcy2mtmVya4FAIBMc/myGkmaE9NUqTaC8xV3X+XuqyX9l6QvSpKZrZC0RtJKSVdJ+hZ7YQEAEJ+aknydWV+iJ15pD7qUpIsn4NyUtCqi3P1ozMuwxkeNrpb0Y3fvj/YEbZN0QbLrAQAg07zp9Gq98Noh9fQPBV1KUk11s80z3H1DsouJftbNZrZb0vsVHcGRVC9pd8xlrdFjAAAgDm86vUqDw651GX67+FRHcB4ys++b2aKZfqCZrTWzDZM8rpYkd/+Cuy+U9CNJfz76Y5O81aQ9QWZ2g5m1mFlLW1vbTMsFACCjNDeUK5STpSczfJpqqgHnDEkvSHrczL5uZtXT/UB3v8Ldz5zkcf9xl/6HpD+MPm+VtDDm3AJJe0/y/re6e7O7N1dXT7tMAAAyUn5uti5oqNBT2wg4cvcBd79F0nJFwsazZvZ3ZlacyGLMbEnMy3dL2hJ9/oCkNWaWZ2aNkpZIWpfIzwYAYK544+lV2nqgSweP9gVdStLEtdmmu/e5+79IOktSn6TnzezzCaznn6LTVS9Kerukz0Q/d6OkuyVtkvSwpE+6+3ACPxcAgDnjzUsimxM89WrmjuKccrPNWGbWoMh01TJJiyR1Sfr/JP1LIopx9z98nXM3K7ptBAAAmL4V80tUXpirJ19p1zXnLAi6nKSYUsCJjqgskPSaItNGmyX9UtI3JW1NWnUAACDhsrJMbzitSr/Z1iF3l1nmbVYw1RGcayRt97mweQUAAHPAhU0VevClfdrdeUyLKguDLifhptpk/Kq7u5ktMbPvmdn/SXZhAAAgec5vqJAkrduZmevhxNVkLOmHku6RdIkkmdmZZvbvCa8KAAAk1bJ5xSrJz9FvM3TBv3gDTpa7/7ekYUmKrm58ZsKrAgAASZWVZTq/oUK/ZQRHkrQ3ug6NS5JFupIKEl4VAABIuvMbK7S9vUdtXf1Bl5Jw8Qacz0r6jqRaM/uwpB9LmpU9qgAAQGJd0Bjpw2nJwFGceBf62ynpKkmfltQk6XFJH0x8WQAAINnOrCtVfm5WRjYax7XQnyS5+5Aijcb3JL4cAAAwW0I5WTpnYXlG9uGccgTHzD5uZt8xszVm9l9m9onZKAwAACTf+Y0V2rT3qLr6BoMuJaGmMkX1Fkk3SPpzd3+npLOTWxIAAJgt5zeUa8Sl9bsPB11KQk0l4HREVzD+cvR15rVaAwAwR61aUCZJ+t0cDDjfkCR3/1n09X3JKwcAAMym0oJcnVYd1vrdR4IuJaFOGXDcfYskmVlV9PXjyS4KAADMnrMXlmn97sPKpC0n47lN/PtJqwIAAATmnIVlau/u194jfUGXkjDxBJzM20sdAADo7IVlkqT1rx0OtI5EiifgZM64FQAAGHNGbYlCOVn6XevhoEtJGEZwAACY40I5WVpZVzJnR3BuSloVAAAgUKsXlumlPUc0NDwSdCkJMeWA4+4bJMnMcpNXDgAACMLqhWU6Njislw90B11KQsS12aaZfVfSATPbbWbPRrdw+FSSagMAALNk9WijcYYs+BfvZptvljTP3QfNrF6RbRtWJb4sAAAwmxZVFKq0IFcv7cmMBf/iDTjPSCqXdNDd90jaI+mhhFcFAABmlZlpxfwSbdp3NOhSEiKuKSpJt0p63Mw+b2ZvNrPSZBQFAABm38q6Em3ZdzQjGo3jDTh3SLpbkZGfP5P0GzN7NeFVAQCAWbeyvkT9QyPa3t4TdCkzFu8UVau7/03sATPLS2A9AAAgICvmRyZmNu09qqXzigOuZmbiHcFZb2afiT3g7v0JrAcAAATktOqwQjlZ2rg3/RuN4x3BmSfpCjO7UdLzkn4nab27/2fCKwMAALMqJztLZ9QWa+Pe9G80jmsEx93f6+7LJTVK+qKklyVdmIzCAADA7FtZF7mTyj29t6CMd6G/ZjMLu3u/uz/v7re7++eTVRwAAJhdK+pKdbh3UHuP9AVdyozE24Pz75KGR1+YWZWZvTOxJQEAgKCsmF8iSdqY5gv+xRtw+tx9LNK5e7ukv0tsSQAAICjL5xfLTGm/4F+8AWe7mb3juGOhRBUDAACCVRjKUVNVOO0bjeO9i+pTkv7bzD6oyLYNKyWx0B8AABlk+fyStN90c0ojOGZmkuTu+ySdJ+leSdWSXpT0vthrAABAels2r1ith46pp38o6FKmbapTVL8ys0+Z2SJ3H3b3e939ryV9R9KFZna7pOuTVyYAAJgtS6KrGG872B1wJdM31YBzlSJ3T91pZnvNbJOZbZf0iqQ/lvQ1d78tSTUCAIBZtHRekSTp5QNdAVcyfVPqwYneOfUtSd8ys1xJVZKOufvhJNYGAAACsLgysmVDxgecWO4+KGlfEmoBAAApIDvLdHp1kV4+kPlTVAAAYA5ZOq9Ir6TxCA4BBwAAnGDJvGLtPdKnrr7BoEuZFgIOAAA4wdLonVTpOk1FwAEAACdYFg046TpNlZIBx8w+b2ZuZlUxx24ys21mttXMrgyyPgAAMt2C8gIV5Gan7QhO3HdRJZuZLZT0NkmvxRxbIWmNIltD1Elaa2ZL3X148ncBAAAzkZVlOr2mSK8cZAQnUb4m6S8lecyxqyX92N373X2HpG2SLgiiOAAA5ool84rSdi2clAo4ZvZuSXvc/XfHnaqXtDvmdWv02GTvcYOZtZhZS1tbW5IqBQAg8y2bV6wDR/t1pDf97qSa9SkqM1srqXaSU1+Q9L8kvX2yH5vkmE9yTO5+q6RbJam5uXnSawAAwKmdXhPZsmFbW7fOW1wecDXxmVbAMbOwpL7p9MC4+xUnec+zJDVK+l10Y/IFkp43swsUGbFZGHP5Akl74/1sAAAwdU3VkYCzo70n7QLOlKaozCzLzN5nZg+a2UFJWyTtM7ONZvYVM1sy00Lc/SV3r3H3BndvUCTUnOvu+yU9IGmNmeWZWaOkJZLWzfQzAQDAyS0oL1BOlml7W/rdSTXVEZxfSVor6SZJG9x9RJLMrELS5ZL+ycx+4u53JKNId99oZndL2iRpSNInuYMKAIDkys3O0qLKQu1o7wm6lLhNNeBcEd1kcwJ375R0r6R7o7uMJ0x0FCf29c2Sbk7kZwAAgNfXVBXW9rb0CzhTmqI6PtyYWdjMsl/vGgAAkP6aqou0o6NHwyPpdd9OyvTgAACA1NNYFdbA0Ij2Hj4WdClxmeo6OL+SdJoiPTi17r7Q3WskvVnSM4r04HwgSTUCAICANFWFJUnb06wPZ6o9OJ9y9xePP5jMHhwAABC8sVvF27p16dLqgKuZuqmO4Nw2+sTM/jT2hJkVSvTgAACQiaqKQirOy0m7EZypBpzYlYT/7LhzTyaoFgAAkGLMTE3V4bS7VXyqASe2dfr4bRNSaj8rAACQWI1peKv4VMNJrZl9yMzO0YkBJ73uGwMAAHFpqi7SnsPHdGwgfdbYnWqT8d9Kapb0YUkLzGyjIreKb5FUlZzSAABAKmiM3km1s6NHy+eXBFzN1Ewp4ER36B5jZgskrZJ0lqQnklAXAABIEU3V0VvF2zIs4JiZufvYVJS7tyqyGeZDJ7sGAABkhtgRnHQx5YX+zOxTZrYo9qCZhczsLWZ2u6TrE18eAAAIWmEoR9XFeXqtozfoUqZsqj04V0n6iKQ7zaxR0mFJBYoEpEckfc3d1yejQAAAELxFFYXa1Zk+IzhT7cHpk/QtSd+KrlhcJemYux9OYm0AACBFLKoo1LodnUGXMWVTHcGRJJlZnqQ/lNQgKccscse4u/9dwisDAAApY1FFoX66fo8GhkYUykn9JfDirfB+SVdLGpLUE/MAAAAZbFFFodyl1kPp0YcT1wiOpAXuflVSKgEAAClrUWWhJOm1zt6xDThTWbwjOL8xs7OSUgkAAEhZiysiAWd3Z2aO4LxJ0ofMbIekfkW2bXB3X5XwygAAQMqoLs5TXk6WdqXJreLxBpx3JKUKAACQ0sxMiyoK9VomjeCMrlLs7rtOdU3iSgMAAKlkcWX6BBxWMgYAAFOyMDqCkw7jGTNZyThfUrZYyRgAgDlhUUWhegeG1dEzoKqivKDLeV2sZAwAAKZkccyt4qkecOJeitDdB919H+EGAIC5ZVH0VvF02HQz3q0aPjfJ4SOSnmOKCgCAzLagfHwEJ9XFO4LTLOnjkuqjjxskXSbpO2b2l4ktDQAApJL83GzVluSnRcCJdx2cSknnunu3JJnZ30i6R9Ilkp6T9M+JLQ8AAKSSRRWFaTFFFe8IziJJAzGvByUtdvdjiqxsDAAAMlh9eYH2HD4WdBmnFO8Izn9IesbM7ldkm4Z3KnLreFjSpkQXBwAAUktdWb72H+3T0PCIcrLjvldp1sQVcNz9783sIUX2pDJJH3f3lujp9ye6OAAAkFrqywo1POI62NWvurKCoMs5qelEryFJI9E/BxNbDgAASGX15ZFQk+rTVHEFHDP7jKQfKbLQX42kO8zsU8koDAAApJ76snxJ0t4UDzjx9uD8iaQL3b1Hkszsy5KelnRLogsDAACpZ3RaqvVQageceKeoTNJwzOvh6DEAADAHFIZyVF6Ym/JTVPGO4PxA0rNm9hNFgs0fSPp+oosCAACpq768ILOmqNz9q2b2mKQ3KhJwrmeLBgAA5pa60gLtaO8JuozXNaWAY2Zdkjz2UMw5d/eSRBcGAABSU315gZ7a1i53l1lqdqpMKeC4e3GyCwEAAOmhvqxAPQPDOnJsUGWFoaDLmVTqLkEIAABSUn1Z6q+FQ8ABAABxGb1VfE8K3ypOwAEAAHFJh9WMCTgAACAuleGQ8nKyUvpW8ZQKOGb2t2a2x8zWRx+/F3PuJjPbZmZbzezKIOsEAGAuMzPVlxWk9AhOvAv9zYavufu/xB4wsxWS1khaKalO0lozW+ruw5O9AQAASK768gLtOdwXdBknlVIjOK/jakk/dvd+d98haZukCwKuCQCAOauutIAm4zj9uZm9aGbfN7Py6LF6SbtjrmmNHjuBmd1gZi1m1tLW1pbsWgEAmJPqywvU3t2vvsHUnEyZ9YBjZmvNbMMkj6sl/Zuk0yStlrRP0r+O/tgkb+WTHJO73+ruze7eXF1dnYxfAQCAOW9+ab4k6cDR1JymmvUeHHe/YirXmdl3JP1X9GWrpIUxpxdI2pvg0gAAwBTVRgPO/iN9WlwZDriaE6XUFJWZzY95eY2kDdHnD0haY2Z5ZtYoaYmkdbNdHwAAiKgtiQYcRnCm5J/NbLUi0087JX1Mktx9o5ndLWmTpCFJn+QOKgAAgjOPKaqpc/cPvs65myXdPIvlAACAkyjOy1FhKFv7jqRmwEmpKSoAAJAezEy1pfkpO4JDwAEAANNSW5Kv/YzgAACATFJbkq8DR/uDLmNSBBwAADAt86JTVCMjky5NFygCDgAAmJbaknwNjbg6egaCLuUEBBwAADAt80rGF/tLNQQcAAAwLaPbNaTiYn8EHAAAMC21BBwAAJBpqorylJ1lOsAUFQAAyBTZWabqojxGcAAAQGaZl6KrGRNwAADAtNWW5KXkflQEHAAAMG3zSwvowQEAAJllXkm+uvqH1NM/FHQpExBwAADAtNWW5klKvVvFCTgAAGDaRlczTrVpKgIOAACYttqS1Fzsj4ADAACmbXQE52BXf8CVTETAAQAA0xbOy1FhKFttBBwAAJBJqovzCDgAACCzVBcRcAAAQIapKcnTwS6ajAEAQAZhBAcAAGSc6uI8He0bUt/gcNCljCHgAACAGakujqxm3N6dOqM4BBwAADAjowEnlaapCDgAAGBGqotSb7E/Ag4AAJiRmhJGcAAAQIapCIdkRsABAAAZJDc7SxWFIbXRZAwAADJJqm3XQMABAAAzVl2cR5MxAADILNXFeWon4AAAgEwyOkXl7kGXIomAAwAAEqC6KE8DwyM6emwo6FIkEXAAAEACjK1m3J0au4oTcAAAwIyNBpyDR1OjD4eAAwAAZqxmbASHgAMAADJEdXFkP6pUWQuHgAMAAGasJD9HoZwsAg4AAMgcZqbqotRZzZiAAwAAEqKqOI8enJMxs0+Z2VYz22hm/xxz/CYz2xY9d2WQNQIAgBNVhUPq6B4IugxJUk7QBcQys8slXS1plbv3m1lN9PgKSWskrZRUJ2mtmS119+HgqgUAALEqwiFt2Hsk6DIkpd4Izick/ZO790uSux+MHr9a0o/dvd/dd0jaJumCgGoEAACTqCzKU2fPQEps15BqAWeppDeb2bNm9riZnR89Xi9pd8x1rdFjJzCzG8ysxcxa2traklwuAAAYVRkOaXDYdbQv+O0aZn2KyszWSqqd5NQXFKmnXNJFks6XdLeZNUmySa6fNB66+62SbpWk5ubm4CMkAABzRGVRSJLU2TOg0oLcQGuZ9YDj7lec7JyZfULSfR4Z21pnZiOSqhQZsVkYc+kCSXuTWigAAIhLRTgScDq6+9VYFQ60llSbovqppLdIkpktlRSS1C7pAUlrzCzPzBolLZG0LqgiAQDAiaqKIts1dPQEfydVSt1FJen7kr5vZhskDUi6Pjqas9HM7pa0SdKQpE9yBxUAAKlldIoqFW4VT6mA4+4Dkj5wknM3S7p5disCAABTNTpF1dkT/GJ/qTZFBQAA0lReTraK83LUngIjOAQcAACQMBVFIXWmQA8OAQcAACRMZTikDqaoAABAJqkI56VEkzEBBwAAJExVUSglbhMn4AAAgISpCId0qGdAIyPBbiZAwAEAAAlTWZSnoRHX0b7BQOsg4AAAgISpHN2uIeBpKgIOAABImFRZzZiAAwAAEiZVVjMm4AAAgIQZ3XAz6NWMCTgAACBhygtHR3AIOAAAIEOEcrJUkp+jjm6mqAAAQAapLMrjLioAAJBZKsMh7qICAACZpSIc/I7iBBwAAJBQkSkqenAAAEAGqYyO4AS5HxUBBwAAJFR5OKQRV6D7URFwAABAQpUX5kqSDvUScAAAQIYYXezvUG9wjcYEHAAAkFBl0RGcwwQcAACQKca3a2CKCgAAZIjy6I7ijOAAAICMUZKfo+wsowcHAABkDjNTWUEud1EBAIDMUlaYyxQVAADILOWFIR2iyRgAAGSSssIQPTgAACCzlBfm6jA9OAAAIJNUhEPq7B2QezAbbhJwAABAwpUVhjQwNKJjg8OBfD4BBwAAJFzQG24ScAAAQMKVjW642RNMozEBBwAAJFz52IabjOAAAIAMMbofVVC3ihNwAABAwpWNjeAQcAAAQIYoj/bgdAa0mjEBBwAAJFxudpaK83KYogIAAJmlLBzchpsEHAAAkBTlhSHWwQEAAJmlrDDECA4AAMgs5YW5jOBIkpndZWbro4+dZrY+5txNZrbNzLaa2ZUBlgkAAKYgMkUVzAhOTiCfehLu/kejz83sXyUdiT5fIWmNpJWS6iStNbOl7h7MDl4AAOCUygtD6uob0uDwiHKzZ3dMJaVGcEaZmUl6r6Q7o4eulvRjd+939x2Stkm6IKj6AADAqZWHg9uuISUDjqQ3Szrg7q9EX9dL2h1zvjV67ARmdoOZtZhZS1tbW5LLBAAAJzO64WYQjcazPkVlZmsl1U5y6gvufn/0+R9rfPRGkmyS632y93f3WyXdKknNzc2TXgMAAJJvdMPNIBqNZz3guPsVr3fezHIkXSvpvJjDrZIWxrxeIGlv4qsDAACJMrpdQxCNxqk4RXWFpC3u3hpz7AFJa8wsz8waJS2RtC6Q6gAAwJTUlxXoL65Yqqaq8Kx/dkrdRRW1RhOnp+TuG83sbkmbJA1J+iR3UAEAkNrKwyF95oolgXx2ygUcd//QSY7fLOnm2a0GAACko1ScogIAAJgRAg4AAMg4BBwAAJBxCDgAACDjEHAAAEDGIeAAAICMQ8ABAAAZh4ADAAAyDgEHAABkHAIOAADIOAQcAACQcQg4AAAg4xBwAABAxiHgAACAjGPuHnQNSWNmbZJ2JeGtqyS1J+F95xK+w5njO5w5vsOZ4zucGb6/mVvs7tXHH8zogJMsZtbi7s1B15HO+A5nju9w5vgOZ47vcGb4/pKHKSoAAJBxCDgAACDjEHCm59agC8gAfIczx3c4c3yHM8d3ODN8f0lCDw4AAMg4jOAAAICMQ8ABAAAZh4ATJzMrM7N7zGyLmW02s4uDrimdmNkyM1sf8zhqZp8Nuq50YmZ/YWYbzWyDmd1pZvlB15RuzOwz0e9vI3//psbMvm9mB81sQ8yxCjP7hZm9Ev2zPMgaU91JvsPron8PR8yM28UTiIATv29Ietjdz5B0tqTNAdeTVtx9q7uvdvfVks6T1CvpJ8FWlT7MrF7SpyU1u/uZkrIlrQm2qvRiZmdK+qikCxT5Z/idZrYk2KrSwm2Srjru2P+U9Ki7L5H0aPQ1Tu42nfgdbpB0raQnZr2aDEfAiYOZlUi6RNL3JMndB9z9cKBFpbe3SnrV3ZOx2nQmy5FUYGY5kgol7Q24nnSzXNIz7t7r7kOSHpd0TcA1pTx3f0JS53GHr5Z0e/T57ZL+YDZrSjeTfYfuvtndtwZUUkYj4MSnSVKbpB+Y2Qtm9l0zCwddVBpbI+nOoItIJ+6+R9K/SHpN0j5JR9z9kWCrSjsbJF1iZpVmVijp9yQtDLimdDXP3fdJUvTPmoDrAcYQcOKTI+lcSf/m7udI6hFDstNiZiFJ75b0n0HXkk6iPQ5XS2qUVCcpbGYfCLaq9OLumyV9WdIvJD0s6XeShgItCkDCEXDi0yqp1d2fjb6+R5HAg/i9Q9Lz7n4g6ELSzBWSdrh7m7sPSrpP0hsCrintuPv33P1cd79EkSmDV4KuKU0dMLP5khT982DA9QBjCDhxcPf9knab2bLoobdK2hRgSensj8X01HS8JukiMys0M1Pk7yCN7nEys5ron4sUafDk7+L0PCDp+ujz6yXdH2AtwASsZBwnM1st6buSQpK2S/qwux8KtKg0E+172C2pyd2PBF1PujGzL0n6I0WmVV6Q9Kfu3h9sVenFzJ6UVClpUNLn3P3RgEtKeWZ2p6TLJFVJOiDpbyT9VNLdkhYpEr6vc/fjG5ERdZLvsFPSLZKqJR2WtN7drwyoxIxCwAEAABmHKSoAAJBxCDgAACDjEHAAAEDGIeAAAICMQ8ABAAAZh4ADAAAyDgEHAABkHAIOgKQzs+4Z/GyBmT1uZtnR1x8zs31mtj7mcbaZPRHdYT2u9zvJNY+Z2ZXHHfusmX3LzEJT/SwAwSHgAEh1H5F0n7sPR1+vkvRX7r465vE7SY8qssJzvO83mTsV2e0+1hpJd7r7QByfBSAgBBwAs8bMPmdmG6KPz8Yc/2sz22JmvzCzO83s8zE/9n5N3OPoLEnrJ3n7n0avPZUJ72dmHzCzddGRoP8bHdm5R9I7zSwvek2DIru3/zrOzwIQEAIOgFlhZudJ+rCkCyVdJOmjZnaOmTVL+kNJ5yiy8WVzzM+EFNmzbGfMW62U9IOY6akbosc3SDr/FDVMeD8zW67ISMwb3X21pGFJ73f3DknrJF0V/dE1ku7y8b1tTvlZAILFHDKA2fImST9x9x5JMrP7JL1Zkf/Qut/dj0WP/yzmZ6oU2YBQ0XMLJR1091XHv7m7D5vZgJkVu3vXSWqY8H6K7MZ+nqTfRjZnV4Gkg9Fzo9NU90f//EicnwUgQAQcALPF4jwuScck5ce8XiVpy+tcnyepL473M0m3u/tNk1z7U0lfNbNzJRW4+/NxfhaAADFFBWC2PCHpD8ys0MzCkq6R9KQifS3vMrN8MyuS9PujP+DuhyRlm9loKDlLJwk4ZlYpqc3dB09WwCTv96ik95hZTfQ9KsxscfTabkmPSfq+IqM5cX0WgGAxggNgVrj782Z2myK9LZL0XXd/QZLM7AFJv5O0S1KLpCMxP/qIItNbaxUJOJea2TtG31bSm6Nh5HJJD02hlLH3c/dNZvZXkh4xsyxJg5I+Ga1DigSb+3TiHVVT/SwAAbHxnjkACIaZFbl7t5kVKjLSc8PolJCZnSPpc+7+wVO8x32SbnL3rae4bkrvl4jPAhAcRnAApIJbzWyFIv0xt8f2u7j7C2b2KzPLPtnaNdG7o346lcAxlfd7PfF8FoDgMIIDAAAyDk3GAAAg4xBwAABAxiHgAACAjEPAAQAAGYeAAwAAMg4BBwAAZBwCDgAAyDj/P0DOg2CNBHyQAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p=n_e_super_exp.plot(energy_unit='eV')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jetset.jet_model import Jet\n",
    "my_jet=Jet(electron_distribution=n_e_super_exp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_e_super_exp.normalize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_jet.electron_distribution.normalize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--------------------------------------------------------------------------------\n",
      "jet model description\n",
      "--------------------------------------------------------------------------------\n",
      "name: jet_leptonic  \n",
      "\n",
      "electrons distribution:\n",
      " type: super_exp  \n",
      " gamma energy grid size:  201\n",
      " gmin grid : 2.000000e+00\n",
      " gmax grid : 1.000000e+06\n",
      " normalization  False\n",
      " log-values  False\n",
      "\n",
      "radiative fields:\n",
      " seed photons grid size:  100\n",
      " IC emission grid size:  100\n",
      " source emissivity lower bound :  1.000000e-120\n",
      " spectral components:\n",
      "   name:Sum, state: on\n",
      "   name:Sync, state: self-abs\n",
      "   name:SSC, state: on\n",
      "external fields transformation method: blob\n",
      "\n",
      "SED info:\n",
      " nu grid size jetkernel: 1000\n",
      " nu grid size: 500\n",
      " nu mix (Hz): 1.000000e+06\n",
      " nu max (Hz): 1.000000e+30\n",
      "\n",
      "flux plot lower bound   :  1.000000e-30\n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<i>Table length=11</i>\n",
       "<table id=\"table140500720045792-837452\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>model name</th><th>name</th><th>par type</th><th>units</th><th>val</th><th>phys. bound. min</th><th>phys. bound. max</th><th>log</th><th>frozen</th></tr></thead>\n",
       "<tr><td>jet_leptonic</td><td>R</td><td>region_size</td><td>cm</td><td>5.000000e+15</td><td>1.000000e+03</td><td>1.000000e+30</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R_H</td><td>region_position</td><td>cm</td><td>1.000000e+17</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>B</td><td>magnetic_field</td><td>gauss</td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>2.000000e+00</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmax</td><td>high-energy-cut-off</td><td>lorentz-factor*</td><td>1.000000e+06</td><td>1.000000e+00</td><td>1.000000e+15</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>N</td><td>emitters_density</td><td>1 / cm3</td><td>5.000000e+04</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma_cut</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>5.000000e+04</td><td>1.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>s</td><td>LE_spectral_slope</td><td></td><td>2.300000e+00</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>a</td><td>spectral_curvature</td><td></td><td>1.800000e+00</td><td>0.000000e+00</td><td>1.000000e+02</td><td>False</td><td>False</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140500720045792-837452').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table140500720045792-837452').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [4, 5, 6], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "my_jet.parameters.N.val=5E4\n",
    "my_jet.show_model()\n",
    "my_jet.IC_nu_size=100\n",
    "my_jet.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.eval()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p=my_jet.plot_model()\n",
    "p.rescale(y_min=-16,y_max=-13)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.electron_distribution.normalize=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--------------------------------------------------------------------------------\n",
      "jet model description\n",
      "--------------------------------------------------------------------------------\n",
      "name: jet_leptonic  \n",
      "\n",
      "electrons distribution:\n",
      " type: super_exp  \n",
      " gamma energy grid size:  201\n",
      " gmin grid : 2.000000e+00\n",
      " gmax grid : 1.000000e+06\n",
      " normalization  True\n",
      " log-values  False\n",
      "\n",
      "radiative fields:\n",
      " seed photons grid size:  100\n",
      " IC emission grid size:  100\n",
      " source emissivity lower bound :  1.000000e-120\n",
      " spectral components:\n",
      "   name:Sum, state: on\n",
      "   name:Sync, state: self-abs\n",
      "   name:SSC, state: on\n",
      "external fields transformation method: blob\n",
      "\n",
      "SED info:\n",
      " nu grid size jetkernel: 1000\n",
      " nu grid size: 500\n",
      " nu mix (Hz): 1.000000e+06\n",
      " nu max (Hz): 1.000000e+30\n",
      "\n",
      "flux plot lower bound   :  1.000000e-30\n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<i>Table length=11</i>\n",
       "<table id=\"table140500721228720-412643\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>model name</th><th>name</th><th>par type</th><th>units</th><th>val</th><th>phys. bound. min</th><th>phys. bound. max</th><th>log</th><th>frozen</th></tr></thead>\n",
       "<tr><td>jet_leptonic</td><td>R</td><td>region_size</td><td>cm</td><td>5.000000e+15</td><td>1.000000e+03</td><td>1.000000e+30</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R_H</td><td>region_position</td><td>cm</td><td>1.000000e+17</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>B</td><td>magnetic_field</td><td>gauss</td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>2.000000e+00</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmax</td><td>high-energy-cut-off</td><td>lorentz-factor*</td><td>1.000000e+06</td><td>1.000000e+00</td><td>1.000000e+15</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>N</td><td>emitters_density</td><td>1 / cm3</td><td>5.000000e+04</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma_cut</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>5.000000e+04</td><td>1.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>s</td><td>LE_spectral_slope</td><td></td><td>2.300000e+00</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>a</td><td>spectral_curvature</td><td></td><td>1.800000e+00</td><td>0.000000e+00</td><td>1.000000e+02</td><td>False</td><td>False</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140500721228720-412643').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table140500721228720-412643').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [4, 5, 6], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "\n",
    "my_jet.parameters.N.val=5E4\n",
    "my_jet.show_model()\n",
    "my_jet.IC_nu_size=100\n",
    "my_jet.eval()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.plot_model(p,comp='Sum',label='Normalized distr')\n",
    "p.rescale(y_min=-16,y_max=-12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p.fig"
   ]
  }
 ],
 "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": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}