Tutorial_4.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tutorial 4  for JetSeT v1.2.0-rc1"
   ]
  },
  {
   "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": [],
   "source": [
    "from jetset.jet_model import Jet\n",
    "my_jet=Jet(electron_distribution='lppl',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/anaconda3/envs/jetset/lib/python3.8/site-packages/jetset-1.2.0-py3.8-macosx-10.9-x86_64.egg/jetset/model_manager.py:160: UserWarning: no cosmology defined, using default FlatLambdaCDM(name=\"Planck13\", H0=67.8 km / (Mpc s), Om0=0.307, Tcmb0=2.725 K, Neff=3.05, m_nu=[0.   0.   0.06] eV, Ob0=0.0483)\n",
      "  warnings.warn('no cosmology defined, using default %s'%self.cosmo)\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": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    model name          name             par type           units           val      phys. bound. min phys. bound. max  log  frozen\n",
      "----------------- ---------------- ------------------- ---------------- ------------ ---------------- ---------------- ----- ------\n",
      "      jet_flaring                R         region_size               cm 5.000000e+15     1.000000e+03     1.000000e+30 False  False\n",
      "      jet_flaring              R_H     region_position               cm 1.000000e+17     0.000000e+00               -- False   True\n",
      "      jet_flaring                B      magnetic_field                G 1.000000e-01     0.000000e+00               -- False  False\n",
      "      jet_flaring         beam_obj             beaming  Lorentz-factor* 1.000000e+01     1.000000e-04               -- False  False\n",
      "      jet_flaring           z_cosm            redshift                  1.000000e-01     1.000000e-10               -- False  False\n",
      "      jet_flaring             gmin  low-energy-cut-off lorentz-factor** 2.000000e+00     1.000000e+00     1.000000e+09 False  False\n",
      "      jet_flaring             gmax high-energy-cut-off lorentz-factor** 1.000000e+06     1.000000e+00     1.000000e+15 False  False\n",
      "      jet_flaring                N    emitters_density          1 / cm3 1.000000e+02     0.000000e+00               -- False  False\n",
      "      jet_flaring gamma0_log_parab    turn-over-energy lorentz-factor** 1.000000e+04     1.000000e+00     1.000000e+09 False  False\n",
      "      jet_flaring                s   LE_spectral_slope                  2.000000e+00    -1.000000e+01     1.000000e+01 False  False\n",
      "      jet_flaring                r  spectral_curvature                  1.000000e+00    -1.500000e+01     1.500000e+01 False  False\n",
      "Franceschini_2008           z_cosm            redshift                  1.000000e+00     0.000000e+00               -- False   True\n"
     ]
    }
   ],
   "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": [],
   "source": [
    "composite_model.link_par(par_name='z_cosm',model_name_list=['jet_flaring'],root_model_name='Franceschini_2008')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    model name                name                  par type           units           val      phys. bound. min phys. bound. max  log  frozen\n",
      "----------------- --------------------------- ------------------- ---------------- ------------ ---------------- ---------------- ----- ------\n",
      "      jet_flaring                           R         region_size               cm 5.000000e+15     1.000000e+03     1.000000e+30 False  False\n",
      "      jet_flaring                         R_H     region_position               cm 1.000000e+17     0.000000e+00               -- False   True\n",
      "      jet_flaring                           B      magnetic_field                G 1.000000e-01     0.000000e+00               -- False  False\n",
      "      jet_flaring                    beam_obj             beaming  Lorentz-factor* 1.000000e+01     1.000000e-04               -- False  False\n",
      "      jet_flaring                        gmin  low-energy-cut-off lorentz-factor** 2.000000e+00     1.000000e+00     1.000000e+09 False  False\n",
      "      jet_flaring                        gmax high-energy-cut-off lorentz-factor** 1.000000e+06     1.000000e+00     1.000000e+15 False  False\n",
      "      jet_flaring                           N    emitters_density          1 / cm3 1.000000e+02     0.000000e+00               -- False  False\n",
      "      jet_flaring            gamma0_log_parab    turn-over-energy lorentz-factor** 1.000000e+04     1.000000e+00     1.000000e+09 False  False\n",
      "      jet_flaring                           s   LE_spectral_slope                  2.000000e+00    -1.000000e+01     1.000000e+01 False  False\n",
      "      jet_flaring                           r  spectral_curvature                  1.000000e+00    -1.500000e+01     1.500000e+01 False  False\n",
      "      jet_flaring z_cosm(L,Franceschini_2008)            redshift                            --               --               -- False   True\n",
      "Franceschini_2008                   z_cosm(R)            redshift                  1.000000e+00     0.000000e+00               -- False   True\n"
     ]
    }
   ],
   "source": [
    "composite_model.show_pars()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see, now the paramter `z_cosm` in `Franceschini_2008` is the root parameter (flagged by the R in parenthesis), and the one belonging to the `jet_flaring` 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.jet_flaring.parameters.z_cosm.val=0.1\n",
    "#b\n",
    "composite_model.set_par('jet_flaring','z_cosm',0.1)\n",
    "#c\n",
    "composite_model.set_par(my_jet,'z_cosm',0.1)"
   ]
  },
  {
   "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"
     ]
    }
   ],
   "source": [
    "composite_model.show_model_components()"
   ]
  },
  {
   "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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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "composite_model.jet_flaring.IC_nu_size=150\n",
    "composite_model.eval()\n",
    "p=composite_model.plot_model()\n",
    "p.rescale(y_max=-12)"
   ]
  },
  {
   "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": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/orion/anaconda3/envs/jetset/lib/python3.8/site-packages/jetset-1.2.0-py3.8-macosx-10.9-x86_64.egg/jetset/model_manager.py:160: UserWarning: no cosmology defined, using default FlatLambdaCDM(name=\"Planck13\", H0=67.8 km / (Mpc s), Om0=0.307, Tcmb0=2.725 K, Neff=3.05, m_nu=[0.   0.   0.06] eV, Ob0=0.0483)\n",
      "  warnings.warn('no cosmology defined, using default %s'%self.cosmo)\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": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\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": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "composite_model.link_par(par_name='z_cosm',model_name_list=['steady_jet'],root_model_name='Franceschini_2008') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    model name                name                  par type           units           val      phys. bound. min phys. bound. max  log  frozen\n",
      "----------------- --------------------------- ------------------- ---------------- ------------ ---------------- ---------------- ----- ------\n",
      "      jet_flaring                           R         region_size               cm 5.000000e+15     1.000000e+03     1.000000e+30 False  False\n",
      "      jet_flaring                         R_H     region_position               cm 1.000000e+17     0.000000e+00               -- False   True\n",
      "      jet_flaring                           B      magnetic_field                G 1.000000e-01     0.000000e+00               -- False  False\n",
      "      jet_flaring                    beam_obj             beaming  Lorentz-factor* 1.000000e+01     1.000000e-04               -- False  False\n",
      "      jet_flaring                        gmin  low-energy-cut-off lorentz-factor** 2.000000e+00     1.000000e+00     1.000000e+09 False  False\n",
      "      jet_flaring                        gmax high-energy-cut-off lorentz-factor** 1.000000e+06     1.000000e+00     1.000000e+15 False  False\n",
      "      jet_flaring                           N    emitters_density          1 / cm3 1.000000e+02     0.000000e+00               -- False  False\n",
      "      jet_flaring            gamma0_log_parab    turn-over-energy lorentz-factor** 1.000000e+04     1.000000e+00     1.000000e+09 False  False\n",
      "      jet_flaring                           s   LE_spectral_slope                  2.000000e+00    -1.000000e+01     1.000000e+01 False  False\n",
      "      jet_flaring                           r  spectral_curvature                  1.000000e+00    -1.500000e+01     1.500000e+01 False  False\n",
      "      jet_flaring z_cosm(L,Franceschini_2008)            redshift                            --               --               -- False   True\n",
      "Franceschini_2008                   z_cosm(R)            redshift                  1.000000e-01     0.000000e+00               -- False   True\n",
      "       steady_jet                           R         region_size               cm 5.000000e+15     1.000000e+03     1.000000e+30 False  False\n",
      "       steady_jet                         R_H     region_position               cm 1.000000e+17     0.000000e+00               -- False   True\n",
      "       steady_jet                           B      magnetic_field                G 1.000000e-01     0.000000e+00               -- False  False\n",
      "       steady_jet                    beam_obj             beaming  Lorentz-factor* 1.000000e+01     1.000000e-04               -- False  False\n",
      "       steady_jet                        gmin  low-energy-cut-off lorentz-factor** 2.000000e+00     1.000000e+00     1.000000e+09 False  False\n",
      "       steady_jet                        gmax high-energy-cut-off lorentz-factor** 1.000000e+06     1.000000e+00     1.000000e+15 False  False\n",
      "       steady_jet                           N    emitters_density          1 / cm3 1.000000e+02     0.000000e+00               -- False  False\n",
      "       steady_jet                   gamma_cut    turn-over-energy lorentz-factor** 1.000000e+04     1.000000e+00     1.000000e+09 False  False\n",
      "       steady_jet                           p   LE_spectral_slope                  2.000000e+00    -1.000000e+01     1.000000e+01 False  False\n",
      "       steady_jet z_cosm(L,Franceschini_2008)            redshift                            --               --               -- False   True\n"
     ]
    }
   ],
   "source": [
    "composite_model.show_pars()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "composite_model.steady_jet.IC_nu_size=150\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "composite_model.composite_expr='(jet_flaring + steady_jet) * Franceschini_2008'"
   ]
  },
  {
   "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": [
    "composite_model.eval()\n",
    "p=composite_model.plot_model()\n",
    "p.rescale(y_max=-12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "composite_model.save_model('composite.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "cm=FitModel.load_model('composite.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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=cm.plot_model()\n",
    "p.rescale(y_max=-12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}