{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "04-00",
   "metadata": {},
   "source": [
    "# Peak shape and microstructure\n",
    "\n",
    "*Written by Claude Code, Anthropic's coding agent, for the rietx project.*\n",
    "\n",
    "A peak's width has two sources: the instrument, and the specimen's own small crystallites and strain.\n",
    "To measure the specimen you have to know the instrument first.\n",
    "We calibrate a synthetic instrument on a standard, save it, and use it to measure crystallite size and microstrain in a synthetic sample.\n",
    "Because both patterns are synthetic, we know the answers and can grade the fit.\n",
    "\n",
    "**You need** rietx 1.7 or later, which the next cell installs.\n",
    "Notebook 02 introduces plans and the parameter table.\n",
    "\n",
    "**Runtime** is under a minute on a laptop."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "04-01",
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip install rietx"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04-02",
   "metadata": {},
   "source": [
    "## How widths combine\n",
    "\n",
    "Each peak is a pseudo-Voigt: a Gaussian and a Lorentzian convolved.\n",
    "The two parts combine differently.\n",
    "Gaussian *variances* add, so the Gaussian width squared is\n",
    "\n",
    "$$\\Gamma_G^2 = (U + U_s)\\tan^2\\theta + V\\tan\\theta + W + P/\\cos^2\\theta$$\n",
    "\n",
    "Lorentzian *widths* add, so the Lorentzian width is\n",
    "\n",
    "$$\\Gamma_L = (X + X_s)/\\cos\\theta + (Y + Y_s)\\tan\\theta$$\n",
    "\n",
    "U, V, W, X and Y belong to the instrument.\n",
    "The specimen adds P and X_s, which go as 1/cos θ and carry crystallite size, and U_s and Y_s, which go as tan θ and carry microstrain.\n",
    "In rietx the specimen terms are each phase's `gauss_size`, `lor_size`, `gauss_strain` and `lor_strain`.\n",
    "\n",
    "The instrument and specimen terms have the same angular shapes.\n",
    "A fit on one pattern cannot tell them apart, so the instrument is measured separately, on a standard with no size or strain broadening of its own.\n",
    "\n",
    "## Two synthetic patterns\n",
    "\n",
    "The standard is LaB₆ and the sample is CeO₂.\n",
    "We write each structure as a short CIF."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "04-03",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tempfile\n",
    "from pathlib import Path\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "import rietx as rx\n",
    "from rietx.model.profiles.caglioti import (\n",
    "    size_coefficient_for_size,\n",
    "    strain_coefficient_for_microstrain,\n",
    ")\n",
    "\n",
    "work = Path(tempfile.mkdtemp())\n",
    "\n",
    "\n",
    "def structure_from_rows(name, space_group, a, rows):\n",
    "    \"\"\"A cubic structure from a few atom rows, by way of a CIF.\"\"\"\n",
    "    cell = \"\".join(f\"_cell_length_{k} {a}\\n\" for k in \"abc\")\n",
    "    cell += \"\".join(f\"_cell_angle_{k} 90\\n\" for k in (\"alpha\", \"beta\", \"gamma\"))\n",
    "    atoms = \"\".join(\" \".join(map(str, row)) + \"\\n\" for row in rows)\n",
    "    path = work / f\"{name}.cif\"\n",
    "    path.write_text(\n",
    "        f\"data_{name}\\n_space_group_name_H-M_alt '{space_group}'\\n{cell}\"\n",
    "        \"loop_\\n_atom_site_label\\n_atom_site_type_symbol\\n_atom_site_fract_x\\n\"\n",
    "        \"_atom_site_fract_y\\n_atom_site_fract_z\\n_atom_site_B_iso_or_equiv\\n\" + atoms,\n",
    "        encoding=\"utf-8\")\n",
    "    return rx.Structure.from_cif(path)\n",
    "\n",
    "\n",
    "lab6 = structure_from_rows(\"LaB6\", \"P m -3 m\", 4.15689,\n",
    "                           [(\"La1\", \"La\", 0, 0, 0, 0.25), (\"B1\", \"B\", 0.1996, 0.5, 0.5, 0.35)])\n",
    "ceo2 = structure_from_rows(\"CeO2\", \"F m -3 m\", 5.411,\n",
    "                           [(\"Ce1\", \"Ce\", 0, 0, 0, 0.3), (\"O1\", \"O\", 0.25, 0.25, 0.25, 0.6)])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04-04",
   "metadata": {},
   "source": [
    "Next, the true instrument and the true sample broadening.\n",
    "These numbers are the answers the fits should recover."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "04-05",
   "metadata": {},
   "outputs": [
    {
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\"><style>body[data-jp-theme-light=\"false\"] .rx-fig-light, body.vscode-dark .rx-fig-light, body.vscode-high-contrast:not(.vscode-high-contrast-light) .rx-fig-light, html[theme=\"dark\"] .rx-fig-light {display:none !important} body[data-jp-theme-light=\"false\"] .rx-fig-dark, body.vscode-dark .rx-fig-dark, body.vscode-high-contrast:not(.vscode-high-contrast-light) .rx-fig-dark, html[theme=\"dark\"] .rx-fig-dark {display:inline !important}</style></div>"
      ],
      "text/plain": [
       "<_NotebookFigure size 2280x1320 with 1 Axes>"
      ]
     },
     "execution_count": 2,
     "metadata": {
      "image/png": {
       "width": 672
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "TRUE_PROFILE = dict(u=0.004, v=-0.003, w=0.003, x=0.015, y=0.02)  # deg² and deg, 2θ\n",
    "TRUE_ZERO = 0.02             # degrees 2θ\n",
    "TRUE_SIZE = 300.0            # Å, coherent domain size\n",
    "TRUE_STRAIN = 1.0e-3         # Δd/d\n",
    "\n",
    "instrument = rx.Instrument.bragg_brentano(radiation=\"CuKa\")\n",
    "for name, value in TRUE_PROFILE.items():\n",
    "    getattr(instrument.profile, name).value = value\n",
    "instrument.zero_shift.value = TRUE_ZERO\n",
    "instrument.background = rx.BackgroundChebyshev.with_terms(1)\n",
    "instrument.background.coefficients[0].value = 150.0\n",
    "\n",
    "wavelength = instrument.source.lines[0].wavelength.value\n",
    "ceo2.phases[0].lor_size.value = size_coefficient_for_size(TRUE_SIZE, wavelength)\n",
    "ceo2.phases[0].lor_strain.value = strain_coefficient_for_microstrain(TRUE_STRAIN)\n",
    "\n",
    "two_theta = np.arange(15, 130, 0.015)\n",
    "rng = np.random.default_rng(0)\n",
    "\n",
    "\n",
    "def measure(structure, strongest_peak):\n",
    "    \"\"\"Poisson counts from the true model, scaled so the strongest peak has the counts given.\"\"\"\n",
    "    structure = structure.model_copy(deep=True)\n",
    "    y = rx.Refinement(structure, instrument).predict(two_theta)\n",
    "    structure.phases[0].scale.value *= strongest_peak / (y.max() - 150.0)\n",
    "    y = rx.Refinement(structure, instrument).predict(two_theta)\n",
    "    return rx.PatternData(two_theta=two_theta, intensity=rng.poisson(y).astype(float))\n",
    "\n",
    "\n",
    "standard_data = measure(lab6, 30000)\n",
    "sample_data = measure(ceo2, 20000)\n",
    "standard_data.plot(two_theta_range=(15, 70))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04-06",
   "metadata": {},
   "source": [
    "The sample's broadening is all Lorentzian, so the Gaussian specimen terms are truly zero.\n",
    "\n",
    "## Calibrate the instrument on the standard\n",
    "\n",
    "The `lab_calibrate` plan refines the instrument's widths and its position corrections.\n",
    "The standard's cell is certified, so we hold it.\n",
    "A held cell is what lets the fit separate the zero shift and displacement from the cell.\n",
    "We start from a default instrument, as you would with a real diffractometer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "04-07",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "converged\n",
      "instrument.profile.u                      0.00396 +/- 0.00015   true 0.004\n",
      "instrument.profile.v                     -0.00299 +/- 0.00020   true -0.003\n",
      "instrument.profile.w                      0.00301 +/- 0.00006   true 0.003\n",
      "instrument.profile.x                      0.01480 +/- 0.00032   true 0.015\n",
      "instrument.profile.y                      0.02045 +/- 0.00082   true 0.02\n",
      "instrument.zero_shift                     0.01977 +/- 0.00081   true 0.02\n",
      "instrument.geometry.sample_displacement  -0.00104 +/- 0.00197   true 0.0\n",
      "[warning] FLOOR_HIT: ['instrument.geometry.axial_hl']\n",
      "[warning] HIGH_CORRELATION: ['instrument.geometry.axial_sl', 'instrument.geometry.axial_hl']\n",
      "[warning] FLAT_DIRECTION: ['instrument.geometry.axial_sl', 'instrument.geometry.axial_hl']\n",
      "[warning] HIGH_CORRELATION: ['instrument.zero_shift', 'instrument.geometry.sample_displacement']\n"
     ]
    }
   ],
   "source": [
    "start = rx.Instrument.bragg_brentano(radiation=\"CuKa\")\n",
    "start.background = rx.BackgroundChebyshev.with_terms(4)\n",
    "calibration = rx.Refinement(lab6.model_copy(deep=True), start)\n",
    "calibration.hold([\"phases.0.cell.*\"])\n",
    "calibrated = calibration.fit(standard_data, plan=\"lab_calibrate\")\n",
    "\n",
    "print(calibrated.status)\n",
    "truths = {f\"instrument.profile.{k}\": v for k, v in TRUE_PROFILE.items()}\n",
    "truths[\"instrument.zero_shift\"] = TRUE_ZERO\n",
    "truths[\"instrument.geometry.sample_displacement\"] = 0.0\n",
    "for path, true in truths.items():\n",
    "    p = calibrated.parameter(path)\n",
    "    print(f\"{path:40} {p.value:8.5f} +/- {p.stderr:.5f}   true {true}\")\n",
    "for d in calibrated.diagnostics:\n",
    "    print(f\"[{d.level}] {d.code}: {d.where}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04-08",
   "metadata": {},
   "source": [
    "Every term lands within about one esd of the truth.\n",
    "\n",
    "The diagnostics are about corrections the synthetic instrument does not have.\n",
    "Its axial divergence is zero, so the two axial terms sit at their bound and the data cannot separate them.\n",
    "The zero shift and the displacement still correlate strongly, even with the cell held.\n",
    "Both came back within an esd of the truth, and on real data you would read the displacement's esd before quoting it.\n",
    "\n",
    "Save the calibrated instrument.\n",
    "`load_instrument_profile` reads it back with every term held, ready for any sample measured on this instrument."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "04-09",
   "metadata": {},
   "outputs": [],
   "source": [
    "profile_file = work / \"instrument.json\"\n",
    "rx.save_instrument_profile(calibration.instrument, profile_file)\n",
    "calibrated_instrument = rx.load_instrument_profile(profile_file)\n",
    "calibrated_instrument.background = rx.BackgroundChebyshev.with_terms(4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04-10",
   "metadata": {},
   "source": [
    "## Measure the sample\n",
    "\n",
    "`lab_sample_refine` holds the instrument and refines the sample's own size and strain terms.\n",
    "We start the sample with no broadening, so the fit has to find it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "04-11",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "converged Rwp 0.0464\n",
      "phases.0.lor_size      298.9 +/- 2.2 Å\n",
      "phases.0.gauss_size    unavailable (at_zero)\n",
      "phases.0.lor_strain    0.000966 +/- 4.2e-05\n",
      "phases.0.gauss_strain  unavailable (at_zero)\n",
      "true: size 300 Å, strain 0.001\n"
     ]
    }
   ],
   "source": [
    "def fresh_ceria():\n",
    "    structure = ceo2.model_copy(deep=True)\n",
    "    structure.phases[0].lor_size.value = 0.0\n",
    "    structure.phases[0].lor_strain.value = 0.0\n",
    "    return structure\n",
    "\n",
    "\n",
    "sample = rx.Refinement(fresh_ceria(), calibrated_instrument)\n",
    "result = sample.fit(sample_data, plan=\"lab_sample_refine\")\n",
    "\n",
    "\n",
    "def show_microstructure(result):\n",
    "    block = result.microstructure[0]\n",
    "    for term in block.terms:\n",
    "        if term.unavailable:\n",
    "            reading = f\"unavailable ({term.unavailable})\"\n",
    "        elif term.kind == \"size\":\n",
    "            reading = f\"{term.value:.4g} +/- {term.esd:.2g} Å\"\n",
    "        else:\n",
    "            reading = f\"{term.value:.3g} +/- {term.esd:.2g}\"\n",
    "        print(f\"{term.path:22} {reading}\")\n",
    "\n",
    "\n",
    "print(result.status, f\"Rwp {result.statistics.rwp:.4f}\")\n",
    "show_microstructure(result)\n",
    "print(f\"true: size {TRUE_SIZE:.0f} Å, strain {TRUE_STRAIN}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04-12",
   "metadata": {},
   "source": [
    "The Lorentzian size and strain match the truth to within two esds.\n",
    "\n",
    "Read the Gaussian rows next.\n",
    "The fit drove both Gaussian terms onto their zero floor, and each row says so (`at_zero`).\n",
    "The synthetic specimen has no Gaussian broadening, so there is no Gaussian size or strain to quote.\n",
    "A Gaussian reading that does come back is quoted with its esd, and one whose esd dwarfs its value is not a measurement.\n",
    "\n",
    "Quote a size as an order of magnitude, with the Scherrer constant it was read with (0.9 here).\n",
    "The constant depends on crystallite shape, so the size is a coherent domain size and not a particle size.\n",
    "\n",
    "## The same sample without calibration\n",
    "\n",
    "Fit the sample again with the default instrument, as if we had skipped the standard."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "04-13",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "converged Rwp 0.0464\n",
      "phases.0.lor_size      284.2 +/- 1.9 Å\n",
      "phases.0.gauss_size    2248 +/- 6.3e+02 Å\n",
      "phases.0.lor_strain    0.00115 +/- 4.2e-05\n",
      "phases.0.gauss_strain  6.87e-05 +/- 0.0019\n"
     ]
    }
   ],
   "source": [
    "uncalibrated_instrument = rx.Instrument.bragg_brentano(radiation=\"CuKa\")\n",
    "uncalibrated_instrument.background = rx.BackgroundChebyshev.with_terms(4)\n",
    "uncalibrated = rx.Refinement(fresh_ceria(), uncalibrated_instrument).fit(\n",
    "    sample_data, plan=\"lab_sample_refine\")\n",
    "\n",
    "print(uncalibrated.status, f\"Rwp {uncalibrated.statistics.rwp:.4f}\")\n",
    "show_microstructure(uncalibrated)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04-14",
   "metadata": {},
   "source": [
    "The fit converged to the same Rwp, so nothing in the agreement indices says anything is wrong.\n",
    "But the instrument's own width has gone into the sample terms.\n",
    "The Lorentzian size is too small, the strain is too large, and a Gaussian size appears that the sample does not have.\n",
    "Only the calibration separates the two.\n",
    "\n",
    "## The fit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "04-15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      ],
      "text/plain": [
       "<_NotebookFigure size 2280x1320 with 1 Axes>"
      ]
     },
     "execution_count": 7,
     "metadata": {
      "image/png": {
       "width": 693
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04-16",
   "metadata": {},
   "source": [
    "## Checking an agent's work\n",
    "\n",
    "When an agent reports a crystallite size or a strain, check these.\n",
    "The rules are in the rietx agent skill (`SKILL.md` §4b, the microstructure row).\n",
    "\n",
    "- **Was the instrument calibrated on a standard?** Without it, the size and strain absorb the instrument's broadening, and Rwp cannot show it. Ask which standard, and whether its cell was held.\n",
    "- **Every reading with its esd.** A reading whose esd is larger than its value was not measured.\n",
    "- **Do the Gaussian and Lorentzian readings agree?** When both are measured, `result.microstructure[0].size_agreement` compares them, and 1 means they agree.\n",
    "- **Is the size quoted as an order of magnitude, with its Scherrer constant?**\n",
    "- **Size and strain need a wide 2θ range** to be told apart, because 1/cos θ and tan θ look alike over a narrow one."
   ]
  }
 ],
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