{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STARDIS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Necessary Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-12T00:13:43.539653Z",
     "start_time": "2022-01-12T00:13:40.679189Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "340bb9aaa228407c8393b8becae8ebdf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Iterations:          0/? [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "900b602af0c2443594878b1358a7759d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Packets:             0/? [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from tardis.io.atom_data.util import download_atom_data\n",
    "\n",
    "from stardis.base import run_stardis\n",
    "\n",
    "from astropy import units as u"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download Atomic Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Atomic Data kurucz_cd23_chianti_H_He already exists in /home/groneck/Downloads/tardis-data/kurucz_cd23_chianti_H_He.h5. Will not download - override with force_download=True.\n"
     ]
    }
   ],
   "source": [
    "download_atom_data('kurucz_cd23_chianti_H_He')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The STARDIS Configuration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "STARDIS uses [YAML](https://yaml.org/) files for the configuration. The configuration file called `stardis_example.yml` used here can be found\n",
    "[here](https://github.com/tardis-sn/stardis/tree/main/docs/quickstart),\n",
    "along with the other files used in this Quickstart notebook. Below, we present an\n",
    "example for instructions for customizing the configuration for your\n",
    "needs.\n",
    "\n",
    "``` yaml\n",
    "stardis_config_version: 1.0\n",
    "atom_data: <filepath to atomic data file>\n",
    "input_model:\n",
    "    type: marcs # more options will be available in the future\n",
    "    fname: <filepath to model file>\n",
    "    final_atomic_number: <atomic number of largest element considered>\n",
    "opacity:\n",
    "    file: # reads a bound-free or free-free opacity file, omit if none\n",
    "        <species1>_<either bf for bound-free or ff for free-free>: <filepath to opacity file>\n",
    "        <species2>_<either bf for bound-free or ff for free-free>: <filepath to opacity file>\n",
    "        ...\n",
    "    bf: # uses the hydrogenic approximation for bound-free opacity, omit if none\n",
    "        <species1>: {} # there will eventually be options to include files with gaunt factors or departure coefficients\n",
    "        <species2>: {}\n",
    "        ...\n",
    "    ff: # uses the hydrogenic approximation for free-free opacity, omit if none\n",
    "        <species1>: {} # there will eventually be options to include files with gaunt factors or departure coefficients\n",
    "        <species2>: {}\n",
    "        ...\n",
    "    rayleigh: <list of species considered for rayleigh scattering> # may include H, He, and/or H2, omit or use [] for none\n",
    "    disable_electron_scattering: <True or False>\n",
    "    line: # settings for line interaction opacity, at least one subfield is required\n",
    "        disable: <True or False>\n",
    "        broadening: <list of non-thermal broadening sources considered> # may include radiation, linear_stark, quadratic_stark, and/or van_der_waals, omit or use [] for none\n",
    "no_of_thetas: <number of angles to sample for raytracing>\n",
    "```\n",
    "\n",
    "In fields where an atomic species is requested, the species must be in\n",
    "the form `<atomic symbol>_<ionization roman numeral>`. For example,\n",
    "`H_I` for neutral hydrogen, or `Si_III` for twice-ionized silicon.\n",
    "\n",
    "Additionally, in the opacity file section, the following entries are\n",
    "valid:\n",
    "\n",
    "-   `Hminus_bf`\n",
    "-   `Hminus_ff`\n",
    "-   `Heminus_ff`\n",
    "-   `H2minus_ff`\n",
    "-   `H2plus_ff`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Opacity File Format"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "STARDIS can read and interpolate continuum opacity cross-section files\n",
    "for bound-free or free-free absorption (technically, for free-free\n",
    "absorption the files would provide the cross-section per electron\n",
    "density). The files must be one of the following formats:\n",
    "\n",
    "``` csv\n",
    "wavelength_1, cross-section_1\n",
    "wavelength_2, cross-section_2\n",
    "wavelength_3, cross-section_3\n",
    "...\n",
    "```\n",
    "\n",
    "or\n",
    "\n",
    "``` csv\n",
    ", temperature_1, temperature_2, temperature_3, ...\n",
    "wavelength_1, cross-section_11, cross-section_12, cross-section_13, ...\n",
    "wavelength_2, cross-section_21, cross-section_22, cross-section_23, ...\n",
    "wavelength_3, cross-section_31, cross-section_32, cross-section_33, ...\n",
    "...\n",
    "```\n",
    "\n",
    "Note the leading comma in the latter format. Temperatures must be in\n",
    "Kelvin, wavelengths in Angstroms, and cross-sections in cm² for\n",
    "bound-free or cm⁵ for free-free (once again because free-free opacity\n",
    "files provide the cross-section per electron density).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Array of Wavelengths and Run STARDIS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The main function, ``run_stardis()``, requires as its first argument the name of a configuration file, which will be described below. The second argument is an array of the frequencies or wavelengths for which you are requesting the flux density, times an appropriate astropy quantity (such as Hertz or Angstroms). Note that this must be an array times a quantity, **not** an array of astropy quantities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: UnitsWarning: 'erg/cm2/s' contains multiple slashes, which is discouraged by the FITS standard [astropy.units.format.generic]\n"
     ]
    }
   ],
   "source": [
    "tracing_lambdas = np.mgrid[6540:6590:.01]* u.Angstrom\n",
    "\n",
    "sim = run_stardis('stardis_example.yml', tracing_lambdas)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot spectra"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:6: SyntaxWarning: invalid escape sequence '\\A'\n",
      "<>:7: SyntaxWarning: invalid escape sequence '\\A'\n",
      "<>:6: SyntaxWarning: invalid escape sequence '\\A'\n",
      "<>:7: SyntaxWarning: invalid escape sequence '\\A'\n",
      "/tmp/ipykernel_76917/597640734.py:6: SyntaxWarning: invalid escape sequence '\\A'\n",
      "  plt.xlabel(\"Wavelength [$\\AA$]\")\n",
      "/tmp/ipykernel_76917/597640734.py:7: SyntaxWarning: invalid escape sequence '\\A'\n",
      "  plt.ylabel(\"Flux density [erg/s/cm$^2$/$\\AA$]\")\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "plt.plot(sim.lambdas, sim.spectrum_lambda)\n",
    "\n",
    "plt.xlim((6540,6590))\n",
    "plt.title(\"STARDIS Solar Spectrum\")\n",
    "plt.xlabel(\"Wavelength [$\\AA$]\")\n",
    "plt.ylabel(\"Flux density [erg/s/cm$^2$/$\\AA$]\")\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
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