first_example.ipynb

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    "# First Example\n",
    "\n",
    "Run the [Quick Start](https://radis.readthedocs.io/en/latest/#quick-start) example from the [RADIS documentation](https://radis.readthedocs.io) \n",
    "\n",
    "---\n",
    "\n",
    "Run the different Cells with the Run command above (or Cell/Runs All).\n",
    "First, let's calculate a CO spectrum under thermal equilibrium at 1000 K."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from radis import calc_spectrum\n",
    "s = calc_spectrum(1900, 2300,         # cm-1\n",
    "                  molecule='CO',\n",
    "                  isotope='1,2,3',\n",
    "                  pressure=1.01325,   # bar\n",
    "                  Tgas=1000,          # K\n",
    "                  mole_fraction=0.1,\n",
    "                  path_length=1,      # cm\n",
    "                  )\n",
    "s.apply_slit(0.5, 'nm')\n",
    "s.plot('radiance')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "See the [RADIS Documentation: Spectrum how to?](radis.readthedocs.io/en/latest/spectrum/howto.html) for more post-processing methods\n",
    "\n",
    "Below, we calculate a Nonequilibrium spectrum. Rovibrational energies will be calculated automatically from RADIS [built-in spectroscopic constants](https://radis.readthedocs.io/en/latest/#spectroscopic-constants) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "s2 = calc_spectrum(1900, 2300,         # cm-1\n",
    "                  molecule='CO',\n",
    "                  isotope='1,2,3',\n",
    "                  pressure=1.01325,   # bar\n",
    "                  Tvib=1000,          # K\n",
    "                  Trot=300,           # K\n",
    "                  mole_fraction=0.1,\n",
    "                  path_length=1,      # cm\n",
    "                  )\n",
    "s2.apply_slit(0.5, 'nm')\n",
    "s2.plot('radiance')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now calculate your own spectra:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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