{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "0",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-30T22:30:58.163942Z",
"iopub.status.busy": "2026-06-30T22:30:58.163727Z",
"iopub.status.idle": "2026-06-30T22:30:58.168079Z",
"shell.execute_reply": "2026-06-30T22:30:58.167422Z"
},
"tags": [
"hide-in-docs"
]
},
"outputs": [],
"source": [
"# Check whether easydiffraction is installed; install it if needed.\n",
"# Required for remote environments such as Google Colab.\n",
"import importlib.util\n",
"\n",
"if importlib.util.find_spec('easydiffraction') is None:\n",
" %pip install easydiffraction==0.19.1"
]
},
{
"cell_type": "markdown",
"id": "1",
"metadata": {},
"source": [
"# PbSO₄ — powder X-ray CW — round robin\n",
"\n",
"Verifies the anglesite X-ray round-robin case with the Cu Kα doublet\n",
"and FullProf empirical asymmetry.\n",
"\n",
"**Refinement:** atomic ADPs, the overall scale, and Bérar-Baldinozzi\n",
"coefficients (round-robin case); see the known difference below."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "2",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-30T22:30:58.170037Z",
"iopub.status.busy": "2026-06-30T22:30:58.169843Z",
"iopub.status.idle": "2026-06-30T22:31:00.982709Z",
"shell.execute_reply": "2026-06-30T22:31:00.981768Z"
}
},
"outputs": [],
"source": [
"import easydiffraction as edi\n",
"from easydiffraction import ExperimentFactory\n",
"from easydiffraction import StructureFactory\n",
"from easydiffraction.analysis import verification as verify"
]
},
{
"cell_type": "markdown",
"id": "3",
"metadata": {},
"source": [
"## Build the project"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "4",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-30T22:31:00.984534Z",
"iopub.status.busy": "2026-06-30T22:31:00.984254Z",
"iopub.status.idle": "2026-06-30T22:31:01.195548Z",
"shell.execute_reply": "2026-06-30T22:31:01.194661Z"
}
},
"outputs": [],
"source": [
"project = edi.Project()"
]
},
{
"cell_type": "markdown",
"id": "5",
"metadata": {},
"source": [
"## Define the structure"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "6",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-30T22:31:01.197703Z",
"iopub.status.busy": "2026-06-30T22:31:01.197543Z",
"iopub.status.idle": "2026-06-30T22:31:01.206517Z",
"shell.execute_reply": "2026-06-30T22:31:01.205835Z"
}
},
"outputs": [],
"source": [
"structure = StructureFactory.from_scratch(name='pbso4')\n",
"\n",
"structure.space_group.name_h_m = 'P n m a' # FullProf Space group symbol\n",
"\n",
"structure.cell.length_a = 8.485900 # FullProf a\n",
"structure.cell.length_b = 5.402259 # FullProf b\n",
"structure.cell.length_c = 6.964587 # FullProf c\n",
"\n",
"structure.atom_sites.create(\n",
" id='Pb', # FullProf Atom\n",
" type_symbol='Pb', # FullProf Typ\n",
" fract_x=0.18822, # FullProf X\n",
" fract_y=0.25, # FullProf Y\n",
" fract_z=0.16711, # FullProf Z\n",
" adp_type='Biso', # FullProf Biso\n",
" adp_iso=1.86290, # FullProf Biso\n",
")\n",
"structure.atom_sites.create(\n",
" id='S', # FullProf Atom\n",
" type_symbol='S', # FullProf Typ\n",
" fract_x=0.06306, # FullProf X\n",
" fract_y=0.25, # FullProf Y\n",
" fract_z=0.68485, # FullProf Z\n",
" adp_type='Biso', # FullProf Biso\n",
" adp_iso=1.34971, # FullProf Biso\n",
")\n",
"structure.atom_sites.create(\n",
" id='O1', # FullProf Atom\n",
" type_symbol='O', # FullProf Typ\n",
" fract_x=0.90281, # FullProf X\n",
" fract_y=0.25, # FullProf Y\n",
" fract_z=0.59724, # FullProf Z\n",
" adp_type='Biso', # FullProf Biso\n",
" adp_iso=1.19713, # FullProf Biso\n",
")\n",
"structure.atom_sites.create(\n",
" id='O2', # FullProf Atom\n",
" type_symbol='O', # FullProf Typ\n",
" fract_x=0.18443, # FullProf X\n",
" fract_y=0.25, # FullProf Y\n",
" fract_z=0.54586, # FullProf Z\n",
" adp_type='Biso', # FullProf Biso\n",
" adp_iso=2.56174, # FullProf Biso\n",
")\n",
"structure.atom_sites.create(\n",
" id='O3', # FullProf Atom\n",
" type_symbol='O', # FullProf Typ\n",
" fract_x=0.08094, # FullProf X\n",
" fract_y=0.02239, # FullProf Y\n",
" fract_z=0.81289, # FullProf Z\n",
" adp_type='Biso', # FullProf Biso\n",
" adp_iso=1.37463, # FullProf Biso\n",
")\n",
"\n",
"project.structures.add(structure)"
]
},
{
"cell_type": "markdown",
"id": "7",
"metadata": {},
"source": [
"## Load the FullProf reference"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "8",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-30T22:31:01.208370Z",
"iopub.status.busy": "2026-06-30T22:31:01.208201Z",
"iopub.status.idle": "2026-06-30T22:31:01.217831Z",
"shell.execute_reply": "2026-06-30T22:31:01.217039Z"
}
},
"outputs": [],
"source": [
"FULLPROF_PROJECT_DIR = 'pd-xray-cwl_pbso4_round-robin'\n",
"FULLPROF_PRF_FILE = 'pbsox.prf'\n",
"FULLPROF_SUM_FILE = 'pbsox.sum'\n",
"FULLPROF_BAC_FILE = 'pbsox.bac'\n",
"FULLPROF_LABEL = verify.fullprof_label(FULLPROF_PROJECT_DIR, FULLPROF_SUM_FILE)\n",
"\n",
"FULLPROF_ZERO = 0.00363 # FullProf Zero\n",
"FULLPROF_SCALE = 0.0004703142 # FullProf Scale\n",
"FULLPROF_WAVELENGTH_1 = 1.540560 # FullProf Lambda1\n",
"FULLPROF_WAVELENGTH_2 = 1.544400 # FullProf Lambda2\n",
"FULLPROF_WAVELENGTH_2_TO_1_RATIO = 0.50000 # FullProf Ratio\n",
"FULLPROF_U = 0.048457 # FullProf U\n",
"FULLPROF_V = -0.083053 # FullProf V\n",
"FULLPROF_W = 0.035188 # FullProf W\n",
"FULLPROF_X = 0.0 # FullProf X\n",
"FULLPROF_Y = 0.058360 # FullProf Y\n",
"FULLPROF_WDT = 48.0 # FullProf Wdt\n",
"FULLPROF_ASY_1 = -0.41356 # FullProf Asy1\n",
"FULLPROF_ASY_2 = 0.0 # FullProf Asy2\n",
"FULLPROF_ASY_3 = 1.26777 # FullProf Asy3\n",
"FULLPROF_ASY_4 = 0.0 # FullProf Asy4\n",
"\n",
"x, calc_fullprof = verify.load_fullprof_calc_profile(\n",
" FULLPROF_PROJECT_DIR,\n",
" FULLPROF_PRF_FILE,\n",
" FULLPROF_BAC_FILE,\n",
" FULLPROF_ZERO,\n",
")"
]
},
{
"cell_type": "markdown",
"id": "9",
"metadata": {},
"source": [
"## Create the experiment"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "10",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-30T22:31:01.219579Z",
"iopub.status.busy": "2026-06-30T22:31:01.219410Z",
"iopub.status.idle": "2026-06-30T22:31:02.103844Z",
"shell.execute_reply": "2026-06-30T22:31:02.103068Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"⚠️ Switching peak profile type adds these settings with defaults: \n",
" • asym_beba_a0=0.0 \n",
" • asym_beba_a1=0.0 \n",
" • asym_beba_b0=0.0 \n",
" • asym_beba_b1=0.0 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1;36mPeak profile type for experiment \u001b[0m\u001b[32m'pbso4'\u001b[0m\u001b[1;36m changed to\u001b[0m\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"pseudo-voigt + berar-baldinozzi asymmetry\n"
]
}
],
"source": [
"experiment = ExperimentFactory.from_scratch(\n",
" name='pbso4',\n",
" sample_form='powder',\n",
" beam_mode='constant wavelength',\n",
" radiation_probe='xray',\n",
" scattering_type='bragg',\n",
")\n",
"verify.set_reference_as_measured(experiment, x, calc_fullprof)\n",
"\n",
"experiment.linked_structures.create(structure_id='pbso4', scale=FULLPROF_SCALE)\n",
"\n",
"experiment.instrument.setup_wavelength = FULLPROF_WAVELENGTH_1\n",
"experiment.instrument.setup_wavelength_2 = FULLPROF_WAVELENGTH_2\n",
"experiment.instrument.setup_wavelength_2_to_1_ratio = FULLPROF_WAVELENGTH_2_TO_1_RATIO\n",
"experiment.instrument.calib_twotheta_offset = FULLPROF_ZERO\n",
"\n",
"experiment.peak.type = 'pseudo-voigt + berar-baldinozzi asymmetry'\n",
"experiment.peak.broad_gauss_u = FULLPROF_U\n",
"experiment.peak.broad_gauss_v = FULLPROF_V\n",
"experiment.peak.broad_gauss_w = FULLPROF_W\n",
"experiment.peak.broad_lorentz_x = FULLPROF_X\n",
"experiment.peak.broad_lorentz_y = FULLPROF_Y\n",
"experiment.peak.asym_beba_a0 = FULLPROF_ASY_1\n",
"experiment.peak.asym_beba_b0 = FULLPROF_ASY_2\n",
"experiment.peak.asym_beba_a1 = FULLPROF_ASY_3\n",
"experiment.peak.asym_beba_b1 = FULLPROF_ASY_4\n",
"\n",
"# FullProf excludes 0-10 deg and 154-180 deg in the PCR.\n",
"experiment.excluded_regions.create(id='1', start=0.0, end=10.0)\n",
"experiment.excluded_regions.create(id='2', start=154.0, end=180.0)\n",
"\n",
"experiment.peak.cutoff_fwhm = FULLPROF_WDT\n",
"\n",
"project.experiments.add(experiment)"
]
},
{
"cell_type": "markdown",
"id": "11",
"metadata": {},
"source": [
"## edi-cryspy VS FullProf"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "12",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-30T22:31:02.105568Z",
"iopub.status.busy": "2026-06-30T22:31:02.105342Z",
"iopub.status.idle": "2026-06-30T22:31:02.703737Z",
"shell.execute_reply": "2026-06-30T22:31:02.703026Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1;36mCalculator for experiment \u001b[0m\u001b[32m'pbso4'\u001b[0m\u001b[1;36m already set to\u001b[0m\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"cryspy\n"
]
},
{
"data": {
"text/html": [
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"experiment.calculator.type = 'cryspy'\n",
"\n",
"project.analysis.calculate()\n",
"calc_ed_cryspy = experiment.data.intensity_calc\n",
"LABEL_ED_CRYSPY = verify.engine_label('cryspy')\n",
"\n",
"project.display.pattern_comparison(\n",
" 'pbso4',\n",
" reference=verify.restrict_to_included(experiment, calc_fullprof),\n",
" candidate=calc_ed_cryspy,\n",
" reference_label=FULLPROF_LABEL,\n",
" candidate_label=LABEL_ED_CRYSPY,\n",
")"
]
},
{
"cell_type": "markdown",
"id": "13",
"metadata": {},
"source": [
"## Fit edi-cryspy to FullProf"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "14",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-30T22:31:02.708111Z",
"iopub.status.busy": "2026-06-30T22:31:02.707918Z",
"iopub.status.idle": "2026-06-30T22:31:24.749184Z",
"shell.execute_reply": "2026-06-30T22:31:24.748480Z"
}
},
"outputs": [
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/javascript": [
"\n",
"(function() {\n",
" const button = document.getElementById('ed-fit-stop-0cb04812138a41498821eb953180d800-button');\n",
" const status = document.getElementById('ed-fit-stop-0cb04812138a41498821eb953180d800-status');\n",
" const kernelId = '';\n",
" if (!button) {\n",
" return;\n",
" }\n",
"\n",
" function setStatus(text) {\n",
" if (status) {\n",
" status.textContent = text;\n",
" }\n",
" }\n",
"\n",
" function pageConfig() {\n",
" const element = document.getElementById('jupyter-config-data');\n",
" if (!element || !element.textContent) {\n",
" return {};\n",
" }\n",
" try {\n",
" return JSON.parse(element.textContent);\n",
" } catch (error) {\n",
" return {};\n",
" }\n",
" }\n",
"\n",
" function baseUrl(config) {\n",
" const configured = config.baseUrl || config.base_url ||\n",
" (window.Jupyter && Jupyter.notebook && Jupyter.notebook.base_url);\n",
" if (configured) {\n",
" return configured.endsWith('/') ? configured : configured + '/';\n",
" }\n",
" const markers = ['/lab/', '/notebooks/', '/tree/'];\n",
" for (const marker of markers) {\n",
" const index = window.location.pathname.indexOf(marker);\n",
" if (index >= 0) {\n",
" return window.location.pathname.slice(0, index + 1);\n",
" }\n",
" }\n",
" return '/';\n",
" }\n",
"\n",
" function token(config) {\n",
" return config.token || new URLSearchParams(window.location.search).get('token') || '';\n",
" }\n",
"\n",
" function cookie(name) {\n",
" const prefix = name + '=';\n",
" for (const part of document.cookie.split(';')) {\n",
" const trimmed = part.trim();\n",
" if (trimmed.startsWith(prefix)) {\n",
" return decodeURIComponent(trimmed.slice(prefix.length));\n",
" }\n",
" }\n",
" return '';\n",
" }\n",
"\n",
" function notebookPath() {\n",
" const decoded = decodeURIComponent(window.location.pathname);\n",
" const markers = ['/lab/tree/', '/notebooks/', '/tree/'];\n",
" for (const marker of markers) {\n",
" const index = decoded.indexOf(marker);\n",
" if (index >= 0) {\n",
" return decoded.slice(index + marker.length);\n",
" }\n",
" }\n",
" return '';\n",
" }\n",
"\n",
" async function kernelFromSessions(config) {\n",
" const url = new URL(baseUrl(config) + 'api/sessions', window.location.origin);\n",
" const authToken = token(config);\n",
" if (authToken) {\n",
" url.searchParams.set('token', authToken);\n",
" }\n",
" const response = await fetch(url, {credentials: 'same-origin'});\n",
" if (!response.ok) {\n",
" return '';\n",
" }\n",
" const sessions = await response.json();\n",
" const path = notebookPath();\n",
" const session = sessions.find((item) => item.path === path) || sessions[0];\n",
" return session && session.kernel ? session.kernel.id : '';\n",
" }\n",
"\n",
" async function interruptKernel(config, resolvedKernelId) {\n",
" const url = new URL(\n",
" baseUrl(config) + 'api/kernels/' + resolvedKernelId + '/interrupt',\n",
" window.location.origin\n",
" );\n",
" const authToken = token(config);\n",
" if (authToken) {\n",
" url.searchParams.set('token', authToken);\n",
" }\n",
" const xsrfToken = cookie('_xsrf');\n",
" const headers = {};\n",
" if (xsrfToken) {\n",
" headers['X-XSRFToken'] = xsrfToken;\n",
" }\n",
" const response = await fetch(url, {\n",
" method: 'POST',\n",
" credentials: 'same-origin',\n",
" headers: headers\n",
" });\n",
" return response.ok;\n",
" }\n",
"\n",
" button.addEventListener('click', async function() {\n",
" button.disabled = true;\n",
" setStatus('Stopping...');\n",
" const config = pageConfig();\n",
" try {\n",
" const resolvedKernelId = kernelId || await kernelFromSessions(config);\n",
" if (!resolvedKernelId) {\n",
" throw new Error('Could not resolve the current kernel id.');\n",
" }\n",
" const interrupted = await interruptKernel(config, resolvedKernelId);\n",
" if (!interrupted) {\n",
" throw new Error('Jupyter Server rejected the interrupt request.');\n",
" }\n",
" setStatus('Interrupt sent...');\n",
" } catch (error) {\n",
" button.disabled = false;\n",
" setStatus('Use Kernel > Interrupt to stop this fit.');\n",
" }\n",
" });\n",
"})();\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1;36mStandard fitting\u001b[0m\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"📋 Using experiment 🔬 \u001b[32m'pbso4'\u001b[0m for \u001b[32m'single'\u001b[0m fitting\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"🚀 Starting fit process with \u001b[32m'lmfit \u001b[0m\u001b[32m(\u001b[0m\u001b[32mleastsq\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[33m...\u001b[0m\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"📈 Goodness-of-fit progress:\n"
]
},
{
"data": {
"text/html": [
" | iteration | time (s) | χ² | change / status |
|---|
| 1 | 1 | 0.23 | 236207.78 | |
|---|
| 2 | 12 | 3.22 | 62567.92 | 73.5% ↓ |
|---|
| 3 | 21 | 5.82 | 1188.68 | 98.1% ↓ |
|---|
| 4 | 30 | 8.19 | 1078.96 | 9.2% ↓ |
|---|
| 5 | 43 | 13.62 | 1078.96 | |
|---|
| 6 | 55 | 18.65 | 1078.96 | |
|---|
| 7 | 58 | 19.81 | 1078.96 | |
|---|
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"🏆 Best goodness-of-fit \u001b[1m(\u001b[0mreduced χ²\u001b[1m)\u001b[0m is \u001b[1;36m1078.96\u001b[0m at iteration \u001b[1;36m57\u001b[0m\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"✅ Fitting complete.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"⚙️ Settings used:\n"
]
},
{
"data": {
"text/html": [
" | Name | Value | Description |
|---|
| 1 | max_iterations | 1000 | Maximum solver iterations. |
|---|
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"📋 Least-squares fit results:\n"
]
},
{
"data": {
"text/html": [
" | Metric | Value |
|---|
| 1 | 🧪 Minimizer | lmfit (leastsq) |
|---|
| 2 | ✅ Overall status | success |
|---|
| 3 | ⏱️ Fitting time (seconds) | 19.81 |
|---|
| 4 | 🔁 Iterations | 55 |
|---|
| 5 | 📏 Goodness-of-fit (reduced χ²) | 1078.96 |
|---|
| 6 | 📏 R-factor (Rf, %) | 7.81 |
|---|
| 7 | 📏 R-factor squared (Rf², %) | 3.66 |
|---|
| 8 | 📏 Weighted R-factor (wR, %) | 3.66 |
|---|
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"📈 Refined parameters:\n"
]
},
{
"data": {
"text/html": [
" | datablock | category | entry | parameter | units | start | value | s.u. | change |
|---|
| 1 | pbso4 | atom_site | Pb | adp_iso | Ų | 1.8629 | 3.3782 | 0.0095 | 81.34 % ↑ |
|---|
| 2 | pbso4 | atom_site | S | adp_iso | Ų | 1.3497 | 2.5513 | 0.0486 | 89.03 % ↑ |
|---|
| 3 | pbso4 | atom_site | O1 | adp_iso | Ų | 1.1971 | 3.4652 | 0.1333 | 189.46 % ↑ |
|---|
| 4 | pbso4 | atom_site | O2 | adp_iso | Ų | 2.5617 | 5.3610 | 0.1345 | 109.27 % ↑ |
|---|
| 5 | pbso4 | atom_site | O3 | adp_iso | Ų | 1.3746 | 3.2684 | 0.0849 | 137.76 % ↑ |
|---|
| 6 | pbso4 | linked_structure | pbso4 | scale | | 0.0005 | 0.0008 | 0.0000 | 69.25 % ↑ |
|---|
| 7 | pbso4 | peak | | asym_beba_a0 | | -0.4136 | 0.4610 | 0.0066 | 211.46 % ↓ |
|---|
| 8 | pbso4 | peak | | asym_beba_a1 | | 1.2678 | -1.3688 | 0.0140 | 207.97 % ↓ |
|---|
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" • start = parameter value before refinement
• value = refined value from least-squares minimization
• s.u. = standard uncertainty (one sigma), from the covariance matrix
• change = relative change from start, in %; ↑ = increase, ↓ = decrease
"
],
"text/plain": [
""
]
},
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"data": {
"text/html": [
""
],
"text/plain": [
""
]
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"source": [
"# The anomalous-dispersion table discrepancy is partially compensated by\n",
"# scale and isotropic ADPs. The asymmetry terms are refined separately\n",
"# because cryspy and FullProf use different Berar-Baldinozzi conventions.\n",
"for atom_id in ('Pb', 'S', 'O1', 'O2', 'O3'):\n",
" atom = structure.atom_sites[atom_id]\n",
" atom.adp_iso.free = True\n",
"\n",
"experiment.linked_structures['pbso4'].scale.free = True\n",
"experiment.peak.asym_beba_a0.free = True\n",
"experiment.peak.asym_beba_a1.free = True\n",
"\n",
"project.analysis.fit()\n",
"project.display.fit.results()\n",
"\n",
"project.analysis.calculate()\n",
"calc_ed_cryspy_refined = experiment.data.intensity_calc\n",
"LABEL_ED_CRYSPY_REFINED = verify.engine_label('cryspy', note='refined')\n",
"\n",
"project.display.pattern_comparison(\n",
" 'pbso4',\n",
" reference=verify.restrict_to_included(experiment, calc_fullprof),\n",
" candidate=calc_ed_cryspy_refined,\n",
" reference_label=FULLPROF_LABEL,\n",
" candidate_label=LABEL_ED_CRYSPY_REFINED,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "15",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-30T22:31:24.761841Z",
"iopub.status.busy": "2026-06-30T22:31:24.761528Z",
"iopub.status.idle": "2026-06-30T22:31:24.766666Z",
"shell.execute_reply": "2026-06-30T22:31:24.765726Z"
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"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"experiment.linked_structures['pbso4'].scale"
]
},
{
"cell_type": "markdown",
"id": "16",
"metadata": {},
"source": [
"## Agreement check"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "17",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-30T22:31:24.768993Z",
"iopub.status.busy": "2026-06-30T22:31:24.768771Z",
"iopub.status.idle": "2026-06-30T22:31:24.780664Z",
"shell.execute_reply": "2026-06-30T22:31:24.779900Z"
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"outputs": [
{
"data": {
"text/html": [
" | Comparison | Metric | Expected | Actual | OK |
|---|
| 1 | edi 0.19.1 (cryspy 0.12.1) vs FullProf 7.95 | Profile diff (%) | < 2.5 | 54.11 | ❌ |
|---|
| 2 | | Max deviation (%) | < 6 | 71.43 | ❌ |
|---|
| 3 | | Area ratio | 0.99 to 1.01 | 0.7406 | ❌ |
|---|
| 4 | | Shape correlation | > 0.999 | 0.8523 | ❌ |
|---|
| 5 | edi 0.19.1 (cryspy 0.12.1, refined) vs FullProf 7.95 | Profile diff (%) | < 2.5 | 3.66 | ❌ |
|---|
| 6 | | Max deviation (%) | < 6 | 1.66 | ✅ |
|---|
| 7 | | Area ratio | 0.99 to 1.01 | 0.9509 | ❌ |
|---|
| 8 | | Shape correlation | > 0.999 | 0.9994 | ✅ |
|---|
"
],
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""
]
},
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"output_type": "display_data"
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{
"data": {
"text/html": [
" • Known discrepancy = Laboratory X-ray PbSO4: the remaining strict-tolerance difference is partially compensated by refining scale and isotropic ADPs, consistent with a Cu Kalpha anomalous-dispersion table mismatch in f-prime/f-double-prime, especially for Pb. The Berar-Baldinozzi asymmetry terms are refined separately because cryspy and FullProf use different conventions.
"
],
"text/plain": [
""
]
},
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{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"verify.assert_patterns_agree(\n",
" [\n",
" (\n",
" f'{LABEL_ED_CRYSPY} vs {FULLPROF_LABEL}',\n",
" verify.restrict_to_included(experiment, calc_fullprof),\n",
" calc_ed_cryspy,\n",
" ),\n",
" (\n",
" f'{LABEL_ED_CRYSPY_REFINED} vs {FULLPROF_LABEL}',\n",
" verify.restrict_to_included(experiment, calc_fullprof),\n",
" calc_ed_cryspy_refined,\n",
" ),\n",
" ],\n",
" known_discrepancy=True,\n",
" reason=(\n",
" 'Laboratory X-ray PbSO4: the remaining strict-tolerance '\n",
" 'difference is partially compensated by refining scale and '\n",
" 'isotropic ADPs, consistent with a Cu Kalpha '\n",
" 'anomalous-dispersion table mismatch in f-prime/f-double-prime, '\n",
" 'especially for Pb. The Berar-Baldinozzi asymmetry terms are '\n",
" 'refined separately because cryspy and FullProf use different '\n",
" 'conventions.'\n",
" ),\n",
")"
]
}
],
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