notebooks/contributed/NEUWAVE-12/NEUWAVE_12_Examples_Installing_Plugins_Texture_exercise.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "bErEbPpelXVq"
   },
   "source": [
    "## Texture plugin analysis example\n",
    "\n",
    "This exercise shows how to use the texture plugin, CrysText, together with NCrystal. In this example, the modifications to the coherent elastic cross-section are included in the NCrystal plugin.\n",
    "\n",
    "The coherent scattering cross-section is given by,\n",
    "\\begin{equation}\n",
    "\\sigma_{\\textrm{coh}}^{\\textrm{el}}(\\lambda)=\\dfrac{\\lambda^{2}}{2V}\\sum_{hkl}^{\\lambda\\leq 2d_{hkl}}d_{hkl}|F_{hkl}|^{2}P_{hkl}(\\lambda,d_{hkl}),\n",
    "\\end{equation}\n",
    "where $P_{hkl}(\\lambda,d_{hkl})$ is the modified\n",
    "March-Dollase preferred orientation distribution function, which uses an axially symmetric orientation distribution around the beam\n",
    "direction. The calculation is perferormed as described in Sato et al. [1] and is given by\n",
    "\\begin{equation}\n",
    "P_{hkl}(\\lambda,d_{hkl})=\\frac{1}{2\\pi}\\int^{2\\pi}_0 \\left( R^2B_{hkl}^2 +\\frac{1-B_{hkl}^2}{R}\\right)^{-3/2}d\\phi.\n",
    "\\end{equation}\n",
    "This plugin should only be used to generate cross-sections, and not to sample scattering events.\n",
    "\n",
    "[1] H. Sato, T. Kamiyama, and Y. Kiyanagi, Materials Transactions 52 (2011) 1294\n",
    ", http://dx.doi.org/10.2320/matertrans.M2010328"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TyceOhIqqr2e"
   },
   "source": [
    "## Preamble\n",
    "Install NCrystal with pip."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "9OHZoldyGwnu",
    "outputId": "8e4e957a-fd72-490f-aee5-dfa01a2e6a5a"
   },
   "outputs": [],
   "source": [
    "#By default we only do pip installs on Google Colab, but you\n",
    "#can set the variable in the next line to True if you need it:\n",
    "always_do_pip_installs = False\n",
    "try:\n",
    "    import google.colab as google_colab\n",
    "except ModuleNotFoundError:\n",
    "    google_colab=None#not on google colab\n",
    "if always_do_pip_installs or google_colab:\n",
    "    from importlib.util import find_spec as _fs\n",
    "    if not _fs('NCrystal'):\n",
    "        %pip install -q ncrystal[all]\n",
    "    if not all(_fs(m) for m in ['ipympl','pandas','pickleshare']):\n",
    "        %pip install -q ipympl pandas pickleshare\n",
    "#enable inline and interactive matplotlib plots:\n",
    "if google_colab:\n",
    "    google_colab.output.enable_custom_widget_manager()\n",
    "    %matplotlib inline\n",
    "else:\n",
    "    %matplotlib ipympl\n",
    "import matplotlib\n",
    "matplotlib.rcParams.update({\"figure.autolayout\": True})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2LdJfxydrCjl"
   },
   "source": [
    "## Install the plugin\n",
    "Get the plugin CrysText and other dependencies. If we didn't know already how to do that, we could have found the plugin on https://github.com/mctools/ncrystal/wiki/CuratedPlugins.\n",
    "\n",
    "Note that since we did not yet do an `import NCrystal` at this point in the notebook, we do **not** have to restart the kernel afterwards even though there might be a warning printed below about that."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting git+https://github.com/highness-eu/ncplugin-CrysText\n",
      "  Cloning https://github.com/highness-eu/ncplugin-CrysText to /tmp/pip-req-build-00d_omil\n",
      "  Running command git clone --filter=blob:none --quiet https://github.com/highness-eu/ncplugin-CrysText /tmp/pip-req-build-00d_omil\n",
      "  Resolved https://github.com/highness-eu/ncplugin-CrysText to commit 0c3a5604dca9f18df7f136b054f5e83104395435\n",
      "  Installing build dependencies ... \u001b[?done\n",
      "\u001b[?25h  Getting requirements to build wheel ... \u001b[?25ldone\n",
      "\u001b[?25h  Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n",
      "\u001b[?25hRequirement already satisfied: ncrystal-core>=3.9.85 in /home/tkittel/work/repos/ncrystal-notebooks/venv/lib/python3.12/site-packages (from ncrystal-plugin-CrysText==0.0.1) (4.0.0)\n",
      "Requirement already satisfied: ncrystal-pypluginmgr>=0.0.3 in /home/tkittel/work/repos/ncrystal-notebooks/venv/lib/python3.12/site-packages (from ncrystal-plugin-CrysText==0.0.1) (0.0.5)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install \"git+https://github.com/highness-eu/ncplugin-CrysText\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check that the plugin is indeed recognised by NCrystal:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NCrystal has 9 plugins loaded.\n",
      "==> stddatasrc (builtin)\n",
      "==> stdscat (builtin)\n",
      "==> stdmpscat (builtin)\n",
      "==> stdexpscat (builtin)\n",
      "==> stdlaz (builtin)\n",
      "==> stdabs (builtin)\n",
      "==> stdncmat (builtin)\n",
      "==> stdquick (builtin)\n",
      "==> CrysText (dynamic from /home/tkittel/work/repos/ncrystal-notebooks/venv/lib/python3.12/site-packages/ncrystal_plugin_CrysText/plugins/libNCPlugin_CrysText.so)\n"
     ]
    }
   ],
   "source": [
    "!nctool --plugins"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now finally import NCrystal. And also note that we can check the plugin is available via the Python API:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Ak4QdkAfH3Fx",
    "outputId": "dd55b7ea-8007-450e-b4ed-473b5c3720d3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tests completed succesfully\n",
      "NCrystal has 9 plugins loaded.\n",
      "==> stddatasrc (builtin)\n",
      "==> stdscat (builtin)\n",
      "==> stdmpscat (builtin)\n",
      "==> stdexpscat (builtin)\n",
      "==> stdlaz (builtin)\n",
      "==> stdabs (builtin)\n",
      "==> stdncmat (builtin)\n",
      "==> stdquick (builtin)\n",
      "==> CrysText (dynamic from /home/tkittel/work/repos/ncrystal-notebooks/venv/lib/python3.12/site-packages/ncrystal_plugin_CrysText/plugins/libNCPlugin_CrysText.so)\n"
     ]
    }
   ],
   "source": [
    "#always import NCrystal:\n",
    "import NCrystal as NC\n",
    "assert NC.version_num >=  4000000, \"too old NCrystal found\"\n",
    "NC.test() #< quick unit test that installation works\n",
    "NC.browsePlugins(dump=True) # dump=True means we print the list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Pnyjm3rzSPy4"
   },
   "source": [
    "# Using the plugin\n",
    "Let's create a file and set the parameters of the model.\n",
    "\n",
    "This is done by taking an existing file and adding the relevant section for the new physics through using \"c.set_custom_section_data()\".\n",
    "The name of the pluggin is `CRYSTEXT` followed by the data used by the model. The `CRYSTEXT` plugin currently supports two March-Dollase functions with a given weight.\n",
    "\n",
    "On each line, the first three numbers represent the hkl values of the preferred orientation axis, the fourth number is $R$, the degree of anistotropy, and the fifth is the weight. The data is added to the section called `@CUSTOM_CRYSTEXT`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Ak4QdkAfH3Fx",
    "outputId": "dd55b7ea-8007-450e-b4ed-473b5c3720d3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NCMAT v7\n",
      "# Autogenerated by NCMATComposer\n",
      "#\n",
      "# Zr (hexagonal, SG-194)\n",
      "#\n",
      "# Atoms per unit cell: 2xZr\n",
      "#\n",
      "# NOTICE: crystal structure was verified with spglib to be self-consistent.\n",
      "#\n",
      "@CELL\n",
      "  lengths 3.232 !! 5.147\n",
      "  angles 90 90 120\n",
      "@SPACEGROUP\n",
      "  194\n",
      "@ATOMPOSITIONS\n",
      "  Zr 1/3 2/3 1/4\n",
      "  Zr 2/3 1/3 3/4\n",
      "@CUSTOM_CRYSTEXT\n",
      "  0  0  2  0.465 0.5\n",
      "  0  0  2  0.465 0.5\n",
      "@DYNINFO\n",
      "  # Transferred from \"Zr\" in existing NCrystal.DynamicInfo object\n",
      "  element Zr\n",
      "  fraction 1\n",
      "  type vdos\n",
      "  vdos_egrid .00188884 .0229022\n",
      "  vdos_density .00580803 .00699617 .00673608 .00416859 .00354729 .00362673\n",
      "     .00450489 .00710242 .00970558 .00996095 .0104084 .011033 .0126313 .0150165\n",
      "     .0172456 .019314 .0210789 .0210557 .0197406 .0180921 .0163888 .0143851\n",
      "     .0123014 .00998849 .00884003 .00879537 .0107318 .0140536 .019036 .0230005\n",
      "     .0265534 .0292249 .0303077 .0292462 .0247515 .0193833 .0153172 .0133485\n",
      "     .0156425 .0187844 .0231609 .0271647 .0302139 .0328087 .0348181 .0364424\n",
      "     .0379672 .039688 .0414352 .044429 .0478959 .0498049 .0492414 .0470342\n",
      "     .0446157 .0427659 .0419047 .0427471 .0444864 .0472776 .0501909 .0534146\n",
      "     .0540577 .0531831 .0521805 .05084 .0493318 .0484803 .0509086 .0569028\n",
      "     .0639763 .0682031 .068871 .0660106 .0622962 .0596912 .0592903 .0603288\n",
      "     .0627987 .0658798 .0685178 .0697241 .0703695 .0727463 .0790771 .0968184\n",
      "     .113115 .124957 .127758 .122055 .110556 .0996503 .0954017 .0958222 .0984303\n",
      "     .0985671 .0982696 .0981045 .100929 .104909 .108726 .115628 .121804 .125481\n",
      "     .12687 .125839 .122386 .119039 .115573 .113868 .117997 .133552 .147816\n",
      "     .165521 .177716 .188421 .194453 .197305 .193718 .187683 .182099 .183173\n",
      "     .189289 .195179 .202414 .21045 .218308 .224897 .227976 .228711 .226566\n",
      "     .219427 .211762 .208102 .211443 .224432 .242393 .263302 .281325 .292609\n",
      "     .301068 .308877 .314338 .322721 .329456 .346892 .363873 .375891 .381396\n",
      "     .384346 .386425 .389664 .395931 .406427 .420399 .437229 .457655 .484352\n",
      "     .512755 .541288 .563169 .576575 .572144 .56488 .570284 .599935 .663796\n",
      "     .720607 .765635 .78989 .807288 .83767 .875204 .929759 .927105 .912959 .871193\n",
      "     .813548 .759869 .713165 .708796 .728073 .754341 .771276 .764967 .733441\n",
      "     .674178 .618218 .607003 .607395 .640065 .661562 .67982 .695986 .721588\n",
      "     .746366 .765061 .761083 .74531 .706098 .676575 .656939 .650975 .649836\n",
      "     .651191 .654853 .660397 .672543 .687551 .712527 .742315 .759301 .756364\n",
      "     .748446 .7264 .71521 .714059 .713121 .711415 .707343 .681262 .646836 .603239\n",
      "     .575081 .551671 .52552 .515934 .520437 .524916 .520023 .511656 .510493\n",
      "     .518587 .532605 .539476 .541203 .53496 .529079 .51375 .49134 .459665 .427226\n",
      "     .399867 .395046 .392774 .392078 .392698 .393876 .397295 .40659 .419055\n",
      "     .428605 .431295 .421825 .406305 .388817 .364669 .353362 .349955 .367592\n",
      "     .388811 .404349 .405807 .398091 .390883 .391361 .401539 .417827 .425372\n",
      "     .415352 .399884 .384165 .373929 .365394 .357565 .348323 .335086 .3241 .315111\n",
      "     .304702 .298184 .295539 .298036 .303408 .309785 .310462 .308415 .308323\n",
      "     .312885 .322326 .334832 .356606 .382442 .415024 .451277 .477698 .486236\n",
      "     .488053 .490273 .498539 .526486 .554176 .572218 .575891 .578697 .586213\n",
      "     .597965 .615529 .648221 .70698 .779849 .859885 .914359 .962748 .979679\n",
      "     .990444 1 .998659 .987706 .974908 .953319 .913369 .8662 .805871 .757883\n",
      "     .704897 .659215 .63038 .60789 .578812 .550989 .525887 .511623 .494841 .46662\n",
      "     .433422 .400712 .375473 .36041 .350005 .337785 .321476 .30235 .282184 .256947\n",
      "     .216511 .170844 .128736 .0960426 .0624465 .0365649 .0193463 .0114496\n",
      "     .00615589 .00277092 .000477786 0\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import pathlib\n",
    "import numpy as np\n",
    "import pandas\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "c = NC.NCMATComposer('Zr_sg194.ncmat')\n",
    "# Set hkl, R and fraction\n",
    "c.set_custom_section_data(\"CRYSTEXT\", \" 0  0  2  0.465 0.5 \\n 0  0  2  0.465 0.5 \")\n",
    "c.write('Zr_sg225-CrysText.ncmat')\n",
    "print( pathlib.Path('Zr_sg225-CrysText.ncmat').read_text())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2RXHHs59siVH"
   },
   "source": [
    "Compare against the ideal Zr cross-section."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 604,
     "referenced_widgets": [
      "3fded6f30d41401285c70d79619c00ed",
      "56abedffdc6043a3b3e69a05ea6fdf2b",
      "dd386ac0b9d14840ab8db7817b6a095c",
      "eafcd0a441cc485d80d29eaf1423d4ca"
     ]
    },
    "id": "j0U_Slqd5BT8",
    "outputId": "1204e19b-500d-489a-94a6-4dc13b07a706"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NCrystal WARNING: Loading NCMAT data which has @CUSTOM_ section(s). This is OK if intended.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "667933157e8942d8adeb60d3df50f77e",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wl = np.linspace(0.5, 6, 100)\n",
    "\n",
    "# Definition of the material requires the single-crystal information to be defined, however it is not used.\n",
    "cfg1 = 'Zr_sg225-CrysText.ncmat;dir1=@crys_hkl:1,1,1@lab:1,0,0;dir2=@crys_hkl:0,0,2@lab:0,1,0;mos=1deg;dirtol=180deg'\n",
    "pc = NC.createScatter( cfg1)\n",
    "pc_a=NC.createAbsorption(cfg1)\n",
    "xs1 = pc.crossSection(NC.wl2ekin(wl),direction=(0,0,1))+pc_a.xsect(wl=wl)\n",
    "\n",
    "cfg2 = 'Zr_sg194.ncmat'\n",
    "pc = NC.createScatter( cfg2)\n",
    "pc_a=NC.createAbsorption(cfg2)\n",
    "xs2 = pc.xsect(wl=wl)+pc_a.xsect(wl=wl)\n",
    "\n",
    "plt.figure()\n",
    "plt.plot(wl, xs1, 'r-', label='RT with texture')\n",
    "plt.plot(wl, xs2, 'b-', label='RT')\n",
    "plt.legend()\n",
    "plt.yscale(\"log\")\n",
    "plt.xlabel('Wavelength [Å]')\n",
    "plt.ylabel('Micro total cross section [b/atom]')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4Ksf9hO36gZs"
   },
   "source": [
    "## Exercise #1\n",
    "Compare the total cross section data for Al, using the plugin, with experimental data from the IAEA database [EXFOR](https://www-nds.iaea.org/exfor/). We will access the experimental data using the [Web API](https://www-nds.iaea.org/exfor/x4guide/API/). Can you adjust the parameters of the model to match the measured data?\n",
    "\n",
    "Modify this cell to compare the experimental data with NCrystal results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 586,
     "referenced_widgets": [
      "cdf70d2dd48b48b19d6f81d30c767682",
      "a103fe465c9f4fb2a5d32e2d84d6a04f",
      "db68d16262494036b85d2df4775ba28c",
      "b09372e6e45f4d36b0827e635ce040a9"
     ]
    },
    "id": "GnpyHXm_JSRn",
    "outputId": "4520ed2b-ba4b-4cad-90b8-b90de69612e6"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3d3e1c07c93e47f48a8b5e39c905a0f5",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from urllib.request import urlopen, Request\n",
    "import pandas as pd\n",
    "import io\n",
    "x4ids = [11468002]\n",
    "x4label = ['Al - R.J.Brown 11468002']\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "#for x4id in x4ids:\n",
    "for i, x4id in enumerate(x4ids):\n",
    "    req = Request(\n",
    "        url=f'https://nds.iaea.org/exfor/x4get?DatasetID={x4id}&op=csv',\n",
    "        data=None,\n",
    "        headers={\n",
    "            'User-Agent': 'Mozilla/5.0 (X11; Fedora; Linux x86_64; rv:52.0) Gecko/20100101 Firefox/52.0'\n",
    "        }\n",
    "    )\n",
    "    with urlopen(req) as f:\n",
    "        df = pd.read_csv(io.StringIO(f.read().decode('utf-8')))\n",
    "    if 'EN (EV) 1.1' in list(df):\n",
    "        x4_E, x4_xs = df['EN (EV) 1.1'].values, df['DATA (B) 0.1'].values\n",
    "    elif 'EN (MEV) 1.1' in list(df):\n",
    "        x4_E, x4_xs = 1e6*df['EN (MEV) 1.1'].values, df['DATA (B) 0.1'].values\n",
    "\n",
    "    if (i==0):\n",
    "      ax.plot(NC.ekin2wl(x4_E), x4_xs, '.', label=x4label[i]+ f', X4: {x4id}')\n",
    "    else:\n",
    "      ax.plot(NC.ekin2wl(x4_E), x4_xs, '.', label=x4label[i]+ f', X4: {x4id}')\n",
    "\n",
    "ax.legend(loc='upper left')\n",
    "ax.set_ylim(0.1,5)\n",
    "ax.set_xlabel(\"Wavelength (Å) \")\n",
    "ax.set_ylabel(\"Cross-section (b per atom)\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "provenance": []
  },
  "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": "3.12.3"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "3fded6f30d41401285c70d79619c00ed": {
     "model_module": "jupyter-matplotlib",
     "model_module_version": "^0.11",
     "model_name": "MPLCanvasModel",
     "state": {
      "_cursor": "default",
      "_data_url": 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