{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "81c543e7",
   "metadata": {},
   "source": [
    "# Model masking"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4bef1d38",
   "metadata": {},
   "source": [
    "This tutorial explores some of ramannoodle's masking features. These features are useful when analyzing simulated Raman spectra. \n",
    "\n",
    " [InterpolationModel](../generated/ramannoodle.pmodel.html#ramannoodle.pmodel.interpolation.InterpolationModel), as well it's subclasses (such as [ARTModel](../generated/ramannoodle.pmodel.html#ramannoodle.pmodel.art.ARTModel)), can be modified by \"masking\" specified degrees of freedom (DOFs). When a DOF is masked, it is excluded when calculating polarizabilities and therefore will not be accounted for when calculating Raman spectra. Raman spectra computed with masking should be regarded as *partial Raman spectra*. By choosing the masks wisely, quite a bit can be learned about which atom (or groups of atoms) correspond to which features in the simulated Raman spectra."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b8f3299-8cf3-4c00-b2b2-fb514c3aeb0f",
   "metadata": {},
   "source": [
    "First, our usual imports."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3956373a-63a1-4128-b0f2-e2711b5a5213",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib_inline\n",
    "\n",
    "matplotlib_inline.backend_inline.set_matplotlib_formats('png')\n",
    "plt.rcParams['figure.dpi'] = 300\n",
    "plt.rcParams['font.family'] = 'sans-serif'\n",
    "plt.rcParams[\"mathtext.default\"] = 'regular'\n",
    "plt.rcParams['axes.linewidth'] = 0.5\n",
    "plt.rcParams['xtick.major.width'] = 0.5\n",
    "plt.rcParams['xtick.minor.width'] = 0.5\n",
    "plt.rcParams['lines.linewidth'] = 1.5\n",
    "\n",
    "import ramannoodle as rn"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7da690f-f4db-4509-8c89-014e7a49c83b",
   "metadata": {},
   "source": [
    "### Setup of model\n",
    "\n",
    "We will be computing TiO2's Raman spectrum using data available in `tests/data/TiO2` (see [Github repo](https://github.com/wolearyc/ramannoodle)). We will be basing this spectrum on frozen phonon calculations and use [ARTModel](../generated/ramannoodle.pmodel.html#ramannoodle.pmodel.art.ARTModel) to estimate polarizabilities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6102769c-0416-497a-b6a9-e451b66ca71d",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_dir = \"../../../test/data/TiO2\"\n",
    "# phonon_OUTCAR contains phonons (duh) as well as the reference TiO2 structure.\n",
    "phonon_outcar = f\"{data_dir}/phonons_OUTCAR\"\n",
    "\n",
    "# Read the phonons\n",
    "phonons = rn.io.vasp.outcar.read_phonons(phonon_outcar)\n",
    "# Read the reference structure. This might take a few moments...\n",
    "ref_structure = rn.io.vasp.outcar.read_ref_structure(f\"{data_dir}/ref_eps_OUTCAR\")\n",
    "\n",
    "# We'll need the polarizability of the reference structure. \n",
    "_, ref_polarizability = rn.io.vasp.outcar.read_positions_and_polarizability(\n",
    "   f\"{data_dir}/ref_eps_OUTCAR\"\n",
    ")\n",
    "model = rn.pmodel.ARTModel(ref_structure, ref_polarizability)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "147f6a26-a22a-4cff-9659-336d6316e0b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "╭──────────────┬─────────────────────────────────────────────┬─────────────┬────────────────────╮\n",
       "│   Atom index │ Directions                                  │ Specified   │   Equivalent atoms │\n",
       "├──────────────┼─────────────────────────────────────────────┼─────────────┼────────────────────┤\n",
       "│            0 │ [-1. -0. +0.], [-0. -1. -0.], [-0. -0. +1.] │ \u001b[1;32;49m3/3\u001b[0m         │                 35 │\n",
       "│           36 │ [+0. +0. +1.], [+1. +0. +0.], [+0. +1. +0.] │ \u001b[1;32;49m3/3\u001b[0m         │                 71 │\n",
       "╰──────────────┴─────────────────────────────────────────────┴─────────────┴────────────────────╯"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# OUTCARS are polarizability calculation where atom 5 (Ti) \n",
    "# was displaced +0.1 and +0.2 angstrom in the x direction\n",
    "model.add_art_from_files(\n",
    "    [f\"{data_dir}/Ti5_0.1x_eps_OUTCAR\"], file_format = 'outcar'\n",
    "  )\n",
    "model.add_art_from_files(\n",
    "    [f\"{data_dir}/Ti5_0.1z_eps_OUTCAR\"],file_format = 'outcar'\n",
    "  )\n",
    "model.add_art_from_files(\n",
    "    [f\"{data_dir}/O43_0.1z_eps_OUTCAR\", f\"{data_dir}/O43_m0.1z_eps_OUTCAR\"], \n",
    "    file_format=\"outcar\"\n",
    ")\n",
    "model.add_art_from_files(\n",
    "    [f\"{data_dir}/O43_0.1x_eps_OUTCAR\"], file_format = 'outcar'\n",
    ")\n",
    "model.add_art_from_files([f\"{data_dir}/O43_0.1y_eps_OUTCAR\"],file_format = 'outcar')\n",
    "model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6c70688",
   "metadata": {},
   "source": [
    "All degrees of freedom have been specified. We are now ready to do some Raman calculations!\n",
    "\n",
    "### Calculating the full Raman spectrum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b1f2cb2c-8444-4b6a-ae8e-f1ac6c6a6e98",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2400x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute and plot spectrum\n",
    "spectrum = phonons.get_raman_spectrum(model)\n",
    "wavenumbers, total_intensities = spectrum.measure(\n",
    "    laser_correction = True, \n",
    "    laser_wavelength = 532, \n",
    "    bose_einstein_correction = True, \n",
    "    temperature = 300\n",
    ")\n",
    "wavenumbers, total_intensities = rn.spectrum.utils.convolve_spectrum(wavenumbers, total_intensities)\n",
    "fig = plt.figure(constrained_layout = True, figsize = (8, 3))\n",
    "axis = fig.add_subplot(111)\n",
    "axis.plot(wavenumbers, total_intensities)\n",
    "axis.set_ylabel(\"Intensity (a.u.)\")\n",
    "l = axis.set_xlabel(r\"Raman shift ($\\mathregular{cm^{-1}}$)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "049753d4",
   "metadata": {},
   "source": [
    "### Isolating atomic contributions\n",
    "\n",
    "One question we could ask is which parts of the Raman spectrum are associated with motion of Ti atoms and which parts are associated more with O atoms. In this case, we can produce two masked `ARTModel`'s, one with the Ti atoms masked and other with the O atoms masked."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e0806350-ac5d-4f09-826d-b9dc85ec471b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2400x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(constrained_layout = True, figsize = (8, 4))\n",
    "axis = fig.add_subplot(111)\n",
    "\n",
    "total_model = model\n",
    "O_dof_indexes = total_model.get_dof_indexes('O')\n",
    "Ti_model = total_model.get_masked_model(O_dof_indexes) # Mask O to leave only Ti\n",
    "Ti_dof_indexes = total_model.get_dof_indexes('Ti')\n",
    "O_model = total_model.get_masked_model(Ti_dof_indexes) # Mask Ti to leave only O\n",
    "\n",
    "offset = 0\n",
    "models = [Ti_model, O_model, total_model]\n",
    "labels = ['Ti contribution', 'O contribution', 'Total spectrum']\n",
    "for plot_model, label in zip(models, labels):\n",
    "\n",
    "    spectrum = phonons.get_raman_spectrum(plot_model)\n",
    "    wavenumbers, intensities = spectrum.measure(\n",
    "        laser_correction = True, \n",
    "        laser_wavelength = 532, \n",
    "        bose_einstein_correction = True, \n",
    "        temperature = 300\n",
    "    )\n",
    "    wavenumbers, intensities = rn.spectrum.utils.convolve_spectrum(wavenumbers, intensities)\n",
    "    axis.plot(wavenumbers, intensities + offset, label = label)\n",
    "    offset += np.max(intensities) + 0.02\n",
    "\n",
    "axis.set_ylabel(\"Intensity (a.u.)\")\n",
    "axis.set_xlabel(r\"Raman shift ($\\mathregular{cm^{-1}}$)\")\n",
    "axis.set_yticks([])\n",
    "l = axis.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32f6be86",
   "metadata": {},
   "source": [
    "Convince yourself that this makes sense. Hint: consider the vibrational frequencies of the heavier Ti atoms vs the lighter O atoms.\n",
    "\n",
    "Although this a very simple example, model masking is extremely powerful. By isolating the influence of individual atomic motions on the Raman spectrum, we can gain deep insight into the factors regulating the Raman shifts and Raman intensities of certain motions. In addition, masking gives us a straightforward way to isolate the Raman spectra of specific atoms or groups of atoms. This is useful in many cases, for example when considering defects."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4824320",
   "metadata": {},
   "source": [
    "### Pitfalls"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "645a83d5",
   "metadata": {},
   "source": [
    "It is important of a model's mask, lest you unintentionally use a masked model and believe the results represent the total spectrum. You can check a model's masking status using its `__repr__` string:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3ee61b25",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "╭──────────────┬─────────────────────────────────────────────┬─────────────┬────────────────────╮\n",
      "│   Atom index │ Directions                                  │ Specified   │   Equivalent atoms │\n",
      "├──────────────┼─────────────────────────────────────────────┼─────────────┼────────────────────┤\n",
      "│            0 │ [-1. -0. +0.], [-0. -1. -0.], [-0. -0. +1.] │ \u001b[1;32;49m3/3\u001b[0m         │                 35 │\n",
      "│           36 │ [+0. +0. +1.], [+1. +0. +0.], [+0. +1. +0.] │ \u001b[1;32;49m3/3\u001b[0m         │                 71 │\n",
      "╰──────────────┴─────────────────────────────────────────────┴─────────────┴────────────────────╯\n",
      " \u001b[1;33;49m ATTENTION: 108/324 atomic Raman tensors are masked. \u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "╭──────────────┬─────────────────────────────────────────────┬─────────────┬────────────────────╮\n",
       "│   Atom index │ Directions                                  │ Specified   │   Equivalent atoms │\n",
       "├──────────────┼─────────────────────────────────────────────┼─────────────┼────────────────────┤\n",
       "│            0 │ [-1. -0. +0.], [-0. -1. -0.], [-0. -0. +1.] │ \u001b[1;32;49m3/3\u001b[0m         │                 35 │\n",
       "│           36 │ [+0. +0. +1.], [+1. +0. +0.], [+0. +1. +0.] │ \u001b[1;32;49m3/3\u001b[0m         │                 71 │\n",
       "╰──────────────┴─────────────────────────────────────────────┴─────────────┴────────────────────╯\n",
       " \u001b[1;33;49m ATTENTION: 108/324 atomic Raman tensors are masked. \u001b[0m"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(repr(O_model))\n",
    "\n",
    "# OR (in Jupyter notebooks)\n",
    "O_model "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7288549",
   "metadata": {},
   "source": [
    "If in doubt, you can always use `unmask` to remove the mask."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "42d653d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "╭──────────────┬─────────────────────────────────────────────┬─────────────┬────────────────────╮\n",
       "│   Atom index │ Directions                                  │ Specified   │   Equivalent atoms │\n",
       "├──────────────┼─────────────────────────────────────────────┼─────────────┼────────────────────┤\n",
       "│            0 │ [-1. -0. +0.], [-0. -1. -0.], [-0. -0. +1.] │ \u001b[1;32;49m3/3\u001b[0m         │                 35 │\n",
       "│           36 │ [+0. +0. +1.], [+1. +0. +0.], [+0. +1. +0.] │ \u001b[1;32;49m3/3\u001b[0m         │                 71 │\n",
       "╰──────────────┴─────────────────────────────────────────────┴─────────────┴────────────────────╯"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "O_model.unmask()\n",
    "O_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d769efda",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}