{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tutorial 4  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Composite Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jetset.jet_model import Jet\n",
    "from jetset.plot_sedfit import PlotSED\n",
    "from jetset.model_manager import FitModel\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Composite models allow to combine together different models, such as Jet, and templates, including additive or multiplicative models, and give to the user the possibility to define the functional form of the model composition using a very simple and intuitive form such as:\n",
    "```\n",
    "   'jet1+jet2'*Franceschini_2008\n",
    "```\n",
    "\n",
    "that sums two jet models SEDs, and apply to both of them the `Franceschini_2008` EBL absorption.\n",
    "\n",
    "Building composite models it is very easy. Composite models are handled by   the :class:`.FitModel` class, as shown by the following examples. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Combine a Jet model with the EBL model (Multiplicative case)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We start by combining a Jet model with the EBL absorption model, i.e. a multiplicative  model. First, we define our Jet model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> setting C threads to 12\n"
     ]
    }
   ],
   "source": [
    "from jetset.jet_model import Jet\n",
    "my_jet=Jet(electron_distribution='plc',name='jet_flaring')"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Second, we define the EBL model, and we use in this case the `Franceschini_2008` model ( read the section :ref:`ebl_model`  for more info regarding the EBL models)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jetset.template_2Dmodel import EBLAbsorptionTemplate\n",
    "ebl_franceschini=EBLAbsorptionTemplate.from_name('Franceschini_2008')"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Now we add the components models to the the :class:`.FitModel` class, using the :class:`.FitModel.add_component()` method "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/orion/miniforge3/envs/jetset/lib/python3.10/site-packages/jetset/model_manager.py:158: UserWarning: no cosmology defined, using FlatLambdaCDM(name=\"Planck13\", H0=67.77 km / (Mpc s), Om0=0.30712, Tcmb0=2.7255 K, Neff=3.046, m_nu=[0.   0.   0.06] eV, Ob0=0.048252)\n",
      "  warnings.warn(m)\n"
     ]
    }
   ],
   "source": [
    "composite_model=FitModel(nu_size=500,name='EBL corrected')\n",
    "composite_model.add_component(my_jet)\n",
    "composite_model.add_component(ebl_franceschini)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "the waring message is just telling that you are not passing any specific cosmology model to the `FitModel` class, so it is using a default one"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "<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_flaring</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_flaring</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_flaring</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_flaring</td><td>NH_cold_to_rel_e</td><td>cold_p_to_rel_e_ratio</td><td></td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_flaring</td><td>beam_obj</td><td>beaming</td><td></td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_flaring</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_flaring</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_flaring</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_flaring</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_flaring</td><td>gamma_cut</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_flaring</td><td>p</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>Franceschini_2008</td><td>scale_factor</td><td>scale_factor</td><td></td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>Franceschini_2008</td><td>z_cosm</td><td>redshift</td><td></td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
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       "        return isNaN(a_num) ? -1 : 1;\n",
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       "\n",
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   ],
   "source": [
    "composite_model.show_pars()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since, both the Jet model the EBL share the same parameter, i.e. the redshift, we link the two parameters "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "adding par: z_cosm to  z_cosm\n"
     ]
    }
   ],
   "source": [
    "composite_model.link_par(par_name='z_cosm', from_model='jet_flaring', to_model='Franceschini_2008')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<tr><td>jet_flaring</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_flaring</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_flaring</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_flaring</td><td>NH_cold_to_rel_e</td><td>cold_p_to_rel_e_ratio</td><td></td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_flaring</td><td>beam_obj</td><td>beaming</td><td></td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_flaring</td><td>z_cosm(L,Franceschini_2008)</td><td>redshift</td><td></td><td>--</td><td>--</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_flaring</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_flaring</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_flaring</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_flaring</td><td>gamma_cut</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_flaring</td><td>p</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>Franceschini_2008</td><td>scale_factor</td><td>scale_factor</td><td></td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>Franceschini_2008</td><td>z_cosm(M)</td><td>redshift</td><td></td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
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       "    var b_num = parseFloat(b);\n",
       "\n",
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       "        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",
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       "require([\"datatables\"], function(){\n",
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       "    \n",
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       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table4622398320-56007').dataTable({\n",
       "        order: [],\n",
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       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
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     },
     "metadata": {},
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    }
   ],
   "source": [
    "composite_model.show_pars()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see, now the paramter `z_cosm` in `jet_flaring` is the root parameter (flagged by the R in parenthesis), and the one belonging to the `Franceschini_2008` component is the linked one (flagged by the L in parenthesis)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setting parameters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "**NOTE**\n",
    "   \n",
    "with the new implementation of composite model  (`FitModel` class) to set parameters you have to specify the model component, this is different from versions<1.2.0\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These methods are alternative and equivalent ways to set a parameter in a composite model:\n",
    "\n",
    "a) accessing the model component member of the \n",
    "\n",
    "b) using `set_par` and passing as first argument the model component name\n",
    "\n",
    "c) using `set_par` and passing as first argument the model component object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#a\n",
    "composite_model.Franceschini_2008.parameters.z_cosm.val=0.78\n",
    "#b\n",
    "#composite_model.set_par('jet_flaring','z_cosm',1.84)\n",
    "#c\n",
    "#composite_model.set_par(my_jet,'z_cosm',1.84)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And now, we can define the functional form of the model composition, just by writing the mathematical expression as a string, using the model names reported in the model description table, and that's it!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--------------------------------------------------------------------------------\n",
      "Composite model description\n",
      "--------------------------------------------------------------------------------\n",
      "name: EBL corrected  \n",
      "type: composite_model  \n",
      "components models:\n",
      " -model name: jet_flaring model type: jet\n",
      " -model name: Franceschini_2008 model type: table2D\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "individual component description\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "model description: \n",
      "--------------------------------------------------------------------------------\n",
      "type: Jet\n",
      "name: jet_flaring  \n",
      "geometry: spherical  \n",
      "\n",
      "electrons distribution:\n",
      " type: plc  \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",
      " ratio of cold protons to relativistic electrons: 1.000000e+00\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:Sum, hidden: False\n",
      "   name:Sync, state: self-abs\n",
      "   name:Sync, hidden: False\n",
      "   name:SSC, state: on\n",
      "   name:SSC, hidden: False\n",
      "external fields transformation method: blob\n",
      "\n",
      "SED info:\n",
      " nu grid size jetkernel: 1000\n",
      " nu 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"
     ]
    },
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       "<tr><td>jet_flaring</td><td>beam_obj</td><td>beaming</td><td></td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_flaring</td><td>z_cosm(L,Franceschini_2008)</td><td>redshift</td><td></td><td>--</td><td>--</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_flaring</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_flaring</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_flaring</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_flaring</td><td>gamma_cut</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_flaring</td><td>p</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",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
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       "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(\"$('#table4620908240-702192').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",
       "    $('#table4620908240-702192').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
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       "    });\n",
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      ],
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------------\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "model description\n",
      "--------------------------------------------------------------------------------\n",
      "name: Franceschini_2008  \n",
      "type: table2D  \n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
    },
    {
     "data": {
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       "<i>Table length=2</i>\n",
       "<table id=\"table4622393856-113187\" 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>Franceschini_2008</td><td>scale_factor</td><td>scale_factor</td><td></td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>Franceschini_2008</td><td>z_cosm(M)</td><td>redshift</td><td></td><td>7.800000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</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",
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       ".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(\"$('#table4622393856-113187').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",
       "    $('#table4622393856-113187').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
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     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------------\n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "composite_model.show_model()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "composite_model.composite_expr='jet_flaring*Franceschini_2008'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "composite_model.jet_flaring.IC_nu_size=350\n",
    "composite_model.jet_flaring.parameters.gamma_cut.val=1E6\n",
    "composite_model.jet_flaring.parameters.B.val=1\n",
    "composite_model.jet_flaring.parameters.gmax.val=1E8\n",
    "#composite_model.jet_flaring.flux_plot_lim=0\n",
    "\n",
    "composite_model.jet_flaring._blob.IC_adaptive_e_binning=1\n",
    "composite_model.eval()\n",
    "p=composite_model.plot_model()\n",
    "p.setlim(y_min=1E-19)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<jetset.plot_sedfit.PlotSED at 0x15c700340>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "composite_model.jet_flaring.eval()\n",
    "composite_model.jet_flaring.plot_model()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sum of two jets (steady and flaring) and application of the EBL absorption to both (Multiplicative and additive)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Assume that now we want to sum to jet models (a steady and flaring component) and apply to both of them the EBL absorption."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/orion/miniforge3/envs/jetset/lib/python3.10/site-packages/jetset/model_manager.py:158: UserWarning: no cosmology defined, using FlatLambdaCDM(name=\"Planck13\", H0=67.77 km / (Mpc s), Om0=0.30712, Tcmb0=2.7255 K, Neff=3.046, m_nu=[0.   0.   0.06] eV, Ob0=0.048252)\n",
      "  warnings.warn(m)\n"
     ]
    }
   ],
   "source": [
    "composite_model=FitModel(nu_size=500,name='EBL corrected flaring+steady')\n",
    "composite_model.add_component(my_jet)\n",
    "composite_model.add_component(ebl_franceschini)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> setting C threads to 12\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "Composite model description\n",
      "--------------------------------------------------------------------------------\n",
      "name: EBL corrected flaring+steady  \n",
      "type: composite_model  \n",
      "components models:\n",
      " -model name: jet_flaring model type: jet\n",
      " -model name: Franceschini_2008 model type: table2D\n",
      " -model name: steady_jet model type: jet\n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "steady_jet=Jet(electron_distribution='plc',name='steady_jet')\n",
    "composite_model.add_component(steady_jet)\n",
    "composite_model.show_model_components()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "adding par: z_cosm to  z_cosm\n"
     ]
    }
   ],
   "source": [
    "composite_model.link_par(par_name='z_cosm', from_model='steady_jet', to_model='Franceschini_2008')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
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       "<i>Table length=24</i>\n",
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       "<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_flaring</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",
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       "<tr><td>jet_flaring</td><td>NH_cold_to_rel_e</td><td>cold_p_to_rel_e_ratio</td><td></td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_flaring</td><td>beam_obj</td><td>beaming</td><td></td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_flaring</td><td>z_cosm(L,Franceschini_2008)</td><td>redshift</td><td></td><td>--</td><td>--</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_flaring</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_flaring</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_flaring</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_flaring</td><td>gamma_cut</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>1.000000e+06</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_flaring</td><td>p</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>Franceschini_2008</td><td>scale_factor</td><td>scale_factor</td><td></td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>Franceschini_2008</td><td>z_cosm(M)</td><td>redshift</td><td></td><td>7.800000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>steady_jet</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>steady_jet</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>steady_jet</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>steady_jet</td><td>NH_cold_to_rel_e</td><td>cold_p_to_rel_e_ratio</td><td></td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>steady_jet</td><td>beam_obj</td><td>beaming</td><td></td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>steady_jet</td><td>z_cosm(L,Franceschini_2008)</td><td>redshift</td><td></td><td>--</td><td>--</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>steady_jet</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>steady_jet</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>steady_jet</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>steady_jet</td><td>gamma_cut</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>steady_jet</td><td>p</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",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
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       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
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       "require([\"datatables\"], function(){\n",
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       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
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  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=24</i>\n",
       "<table id=\"table5849224992-387595\" 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",
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       "<tr><td>jet_flaring</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_flaring</td><td>B</td><td>magnetic_field</td><td>gauss</td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_flaring</td><td>NH_cold_to_rel_e</td><td>cold_p_to_rel_e_ratio</td><td></td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_flaring</td><td>beam_obj</td><td>beaming</td><td></td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_flaring</td><td>z_cosm(L,Franceschini_2008)</td><td>redshift</td><td></td><td>--</td><td>--</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_flaring</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_flaring</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_flaring</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_flaring</td><td>gamma_cut</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>1.000000e+06</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_flaring</td><td>p</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>Franceschini_2008</td><td>scale_factor</td><td>scale_factor</td><td></td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>Franceschini_2008</td><td>z_cosm(M)</td><td>redshift</td><td></td><td>7.800000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>steady_jet</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>steady_jet</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>steady_jet</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>steady_jet</td><td>NH_cold_to_rel_e</td><td>cold_p_to_rel_e_ratio</td><td></td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>steady_jet</td><td>beam_obj</td><td>beaming</td><td></td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>steady_jet</td><td>z_cosm(L,Franceschini_2008)</td><td>redshift</td><td></td><td>--</td><td>--</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>steady_jet</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>steady_jet</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>steady_jet</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",
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       "<tr><td>steady_jet</td><td>p</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",
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       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
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  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "composite_model.steady_jet.IC_nu_size=150\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "composite_model.composite_expr=\"(jet_flaring + steady_jet) * Franceschini_2008\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "composite_model.eval()\n",
    "p=composite_model.plot_model()\n",
    "p.setlim(y_max=1E-12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "composite_model.save_model('composite.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> setting C threads to 12\n",
      "===> setting C threads to 12\n"
     ]
    }
   ],
   "source": [
    "cm=FitModel.load_model('composite.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p=cm.plot_model()\n",
    "p.setlim(y_max=1E-12)"
   ]
  }
 ],
 "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": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}