{ "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "name": "python" }, "nbsphinx": { "execute": "never" } }, "nbformat": 4, "nbformat_minor": 5, "cells": [ { "cell_type": "markdown", "metadata": {}, "source": "# Simulating a scanning-3DXRD dataset\n\n`python -m anri.simulate` simulates a scanning-3DXRD dataset from a map, as ImageD11 files that ImageD11 and `python -m anri.index` read. It runs in three stages, each writing one file that the next one reads:\n\n| Stage | What it does | Options | What the plots show |\n|---|---|---|---|\n| `prepare` | map entries per phase, reflections and structure factors, the beam's spreads, the scan's motor positions | `--optics`, `--bandwidth`, `--beam-fwhm`, `--dty-step`, `--margin`, `--omega-step`, `--tth-max`, `--density`, `--cif` | the sample against the rows' reach; each ring's share of the detector |\n| `render` | rows of the scan rendered into sparse pixels above the segmentation cut; rows can be split between jobs (`--rows a:b`) | `--cut`, `--window`, `--max-frames` | how peaks survive the cut at each density; how much of each peak its window holds |\n| `assemble` | the rendered rows gathered into an ImageD11 dataset (`_sparse.h5`, `pars/`, the DataSet) | `--peaks-table` | a rendered row, summed over its frames |\n\nThis notebook runs the same stages, with the plots that help choose each option (`anri.simulate.diagnostics` and `anri.simulate.plots`). The files it writes are the command line's, with the same provenance, and it ends with the `python -m anri.simulate run` command that remakes them.\n\nBy default it renders the [AM-like 316L phantom](phantom.ipynb) shipped in `tests/data/phantoms/am316l` (38 grains with misoriented cells and twin lamellae, 0.5 µm voxels), on an Eiger 4M at 43.6 keV with ID11's Al CRLs: 57 rows of 1 µm, 1800 frames of 0.1°. The render takes about two minutes on a GPU, so this notebook is stored with its outputs and not re-run when the docs are built. With `interactive = True` (the default when you run it), sliders redraw the plots, and **the value on a slider is what the later cells use**; it needs `ipywidgets`, `ipympl` and `matplotlib`.", "id": "cell-00" }, { "cell_type": "code", "metadata": { "tags": [ "parameters" ] }, "execution_count": 1, "outputs": [], "source": "# Parameters: the options of python -m anri.simulate. The sliders below start from these values.\n\nmap_file = None # an ImageD11 TensorMap (.h5) or python -m anri.index's _entries.npz; None: the AM316L phantom\npars_file = None # ImageD11 geometry (.par or pars.json); None: the Eiger 4M geometry below\ncif = None # --cif: one path, or {phase name: path} (None: |F|^2 = 1)\n# instrument\noptics = \"al-crl\" # --optics: \"al-crl\" or \"si-nanolens\" (ID11's focusing optics: the beam's convergence)\ndivergence = None # --divergence: the convergence's sigma (rad) instead of the optics'\nbandwidth = 2e-3 # --bandwidth: FWHM of dlambda/lambda (ID11's Laue monochromator)\nbeam_fwhm = None # --beam-fwhm (None: the dty step)\npsf = 0.5 # --psf: detector point spread (sigma, pixels)\ndet_shape = (2162, 2068) # --det-shape: an Eiger 4M\n# scan\ny0 = 0.0 # --y0\nomega_range = (0.0, 180.0) # --omega-range\nomega_step = 0.1 # --omega-step\ndty_step = 1.0 # --dty-step (None: the map's voxel size)\nmargin = 3.0 # --margin: rows cover the sample and this many beam FWHM either side\ntth_max = None # --tth-max (None: the largest ring wholly on the detector)\ndensity = 30.0 # --density: counts per unit density\n# rendering\ncut = 1.0 # --cut: keep counts above this: the threshold your segmentation used on the data you mimic\nwindow = (3, 7, 7) # --window: frames, slow, fast\nmax_frames = 31 # --max-frames\n\nanalysisroot = None # where the ImageD11 dataset goes (None: a temporary folder)\nsample, dataset = \"am316l\", \"sim\"\noutdir = None # where the stage files go (None: analysisroot)\nn_cpu = 4 # --n-cpu\n\n# this notebook only\ninteractive = True # sliders (ipympl); False: static figures at the parameters' values, as stored in the docs\nprobe = None # rows rendered to look at counts and windows (None: the middle row and one through the sample's edge)", "id": "cell-01" }, { "cell_type": "code", "metadata": {}, "execution_count": 2, "outputs": [], "source": "import anri.utils\n\nanri.utils.setup(n_cpu=n_cpu) # before any JAX computation\n\nimport os\nimport tempfile\nimport time\nfrom types import SimpleNamespace\n\nimport ipywidgets as widgets\nimport numpy as np\nfrom IPython import get_ipython\nfrom IPython.display import display\nfrom matplotlib import pyplot as plt\n\nimport anri.io\nimport anri.simulate as sim\nfrom anri.simulate import diagnostics as dg\nfrom anri.simulate import plots as pl\n\nget_ipython().run_line_magic(\"matplotlib\", \"widget\" if interactive else \"inline\")\nT0 = time.time()\nNOTEBOOK = \"rendering_parameters.ipynb\" # recorded as the command in each stage file's provenance\n\n\ndef log(msg):\n print(f\"[{time.time() - T0:7.1f} s] {msg}\", flush=True)\n\n\ndef figure(name, **kwargs):\n plt.close(name)\n with plt.ioff():\n fig = plt.figure(name, layout=\"constrained\", **kwargs)\n if interactive:\n fig.canvas.header_visible = False\n return fig\n\n\ndef show(fig):\n display(fig.canvas if interactive else fig)\n\n\ndef interact(fig, update, **controls):\n # sliders that call a plot's update, which redraws it and returns a summary; their values are in .kwargs\n if not interactive: # draw once at the controls' starting values\n values = {k: c.value for k, c in controls.items()}\n print(update(**values))\n display(fig)\n return SimpleNamespace(kwargs=values)\n w = widgets.interactive(lambda **kw: print(update(**kw)), **controls)\n display(w, fig.canvas)\n return w\n\n\ndef slider(value, lo, hi, step, name):\n return widgets.FloatSlider(value=value, min=lo, max=hi, step=step, description=name, continuous_update=False,\n readout_format=\".3g\")", "id": "cell-02" }, { "cell_type": "markdown", "metadata": {}, "source": "## The map and the geometry\n\nThe map is an ImageD11 `TensorMap` (every phase in it is rendered; each needs a space-group number) or the populations the indexer writes (`_entries.npz`), so a map indexed from data can be rendered back and compared with the data. The geometry is an ImageD11 `.par` file (or `pars.json`); for the phantom, an Eiger 4M 150 mm from the sample at 43.6 keV.", "id": "cell-03" }, { "cell_type": "code", "metadata": {}, "execution_count": 3, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 1.7 s] map ../../../tests/data/phantoms/am316l/am316l_tmap.h5: 1 phase(s), voxel 0.5, sample radius 25; scan 57 rows of 1 x 1800 frames of 0.1 deg; beam FWHM 1, convergence 8e-05 rad (al-crl), bandwidth 0.002 FWHM; 2theta up to 26.75 deg\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 2.0 s] phase 316L: 7845 entries, 180 reflections, |F|^2 = 1\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 2.0 s] -> /tmp/tmptmq4lznu/am316l_tmap_prepare.h5\n" ] } ], "source": "if map_file is None:\n map_file = os.path.join(\"..\", \"..\", \"..\", \"tests\", \"data\", \"phantoms\", \"am316l\", \"am316l_tmap.h5\")\nif analysisroot is None:\n analysisroot = tempfile.mkdtemp()\noutdir = outdir or analysisroot\nif pars_file is None:\n pars_file = os.path.join(outdir, \"geometry.par\")\n anri.io.imaged11.write_par(pars_file, {\n \"y_center\": 1049.9, \"y_size\": 75.0, \"tilt_y\": 0.0, \"z_center\": 1116.5, \"z_size\": 75.0, \"tilt_z\": 0.0,\n \"tilt_x\": 0.0, \"distance\": 150e3, \"o11\": -1, \"o12\": 0, \"o21\": 0, \"o22\": -1, \"wavelength\": 0.2843,\n \"wedge\": 0.0, \"chi\": 0.0,\n })\nstem = os.path.join(outdir, os.path.splitext(os.path.basename(map_file))[0])\nprepare_options = {\"cif\": cif, \"optics\": optics, \"divergence\": divergence, \"bandwidth\": bandwidth,\n \"beam_fwhm\": beam_fwhm, \"psf\": psf, \"y0\": y0, \"omega_range\": omega_range, \"omega_step\": omega_step,\n \"dty_step\": dty_step, \"margin\": margin, \"density\": density, \"det_shape\": det_shape,\n \"tth_max\": tth_max}\n\n\ndef prepare(**changed):\n prepare_options.update(changed)\n return sim.stages.stage_prepare(map_file, pars_file, f\"{stem}_prepare.h5\", **prepare_options, command=NOTEBOOK, log=log)\n\n\nprepare_file = prepare()\np = sim.stages.load_prepare(prepare_file)", "id": "cell-04" }, { "cell_type": "markdown", "metadata": {}, "source": "## 1. The scan: `--dty-step`, `--margin`, `--beam-fwhm`\n\nThe rows run across the sample in steps of `dty_step` (usually the beam's FWHM at ID11), and reach `margin` beam widths beyond it on either side, so that the sample's edge is seen with the whole beam profile. Every voxel should lie inside the red circle: the radius the rows reach at every ω. Fewer, wider rows render faster but blur the sample across dty, as a wider beam would.", "id": "cell-05" }, { "cell_type": "code", "metadata": {}, "execution_count": 4, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": "fig = figure(\"footprint\", figsize=(12, 4.8))\npl.plot_footprint(fig, dg.footprint(p))\nshow(fig)", "id": "cell-06" }, { "cell_type": "markdown", "metadata": {}, "source": "## 2. Reflections: `--tth-max`\n\nSpots on a ring that runs off the detector are lost wherever they leave it, which an indexer cannot tell from a weak reflection. By default the reflections stop at the largest ring wholly on the detector (top: the fraction of each ring on it, traced from the sample). Lower `tth_max` to render fewer, faster; the rings are re-prepared below if it moves.", "id": "cell-07" }, { "cell_type": "code", "metadata": {}, "execution_count": 5, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "tth_max 26.75 deg: reflections 316L: 180; 100% of the outermost ring on the detector\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": "cov = dg.ring_coverage(p)\nfig = figure(\"rings\", figsize=(12, 5))\nw_tth = interact(fig, pl.plot_rings(fig, cov), tth_max=slider(cov[\"tth_max\"], 2.0, float(cov[\"tth\"][-1]), 0.05,\n \"tth_max\"))", "id": "cell-08" }, { "cell_type": "code", "metadata": {}, "execution_count": 6, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "tth_max 26.75 deg; reflections per phase: 316L: 180\n" ] } ], "source": "if not np.isclose(w_tth.kwargs[\"tth_max\"], cov[\"tth_max\"]):\n prepare_file = prepare(tth_max=w_tth.kwargs[\"tth_max\"])\n p = sim.stages.load_prepare(prepare_file)\nprint(f\"tth_max {p['prov']['resolved']['tth_max']:.2f} deg; reflections per phase: \"\n + \", \".join(f\"{n}: {len(h)}\" for n, (_, h, _) in zip(p[\"names\"], p[\"phases\"])))", "id": "cell-09" }, { "cell_type": "markdown", "metadata": {}, "source": "## 3. Counts: `--density`\n\nImageD11's segmentation keeps only pixels above a cut, so the faint ends and tails of a peak are missing from real data, and the renderer applies the same cut: set `cut` to the threshold your segmentation used on the data you mimic. What then matters is how bright the peaks are against it, which `density` sets (counts per unit density, i.e. per voxel of full density).\n\nA few rows are rendered here without writing them: the middle row and one through the sample's edge. Each peak is judged in the row that sees its voxel best, against the row's summed pixels (overlapping peaks count). Intensities scale with the density, so one render gives every density. **Look for the density where peaks stop disappearing** (left, red): below it, whole weak reflections and the peaks of small or thin features (twins, cells at a grain's edge) are gone from the data, as they would be from a weak measurement; well above it, only the faint ends of each peak are cut (blue: the share of a peak's intensity that survives, and right, at the slider's density).\n\n**Windows** (`--window`, `--max-frames`): each peak is rendered into a window of frames and pixels around it, so the share of a peak left outside its window is lost. Peaks broad in ω (near η = 0 and 180°, or with an orientation spread) get windows of more frames, up to `max_frames`. The plot shows, for each peak centred in the scan, the share of its profile within the scan's ω range that its window misses: what a scan loses at its own ends is not counted against the window. Peaks centred just beyond the ends (the selection reaches as far as the widest window, so a broad one there can still reach the scan) are counted separately; their Friedel mates, 180° away, are in the scan. On the phantom, the dozen peaks that lose ~10% are the broadest, in the widest window: `max_frames = 63` holds them all to within 0.4%, at some cost in time.", "id": "cell-10" }, { "cell_type": "code", "metadata": {}, "execution_count": 7, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 74.2 s] row 28: 184843 peaks, 35535 of them judged here (70.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 83.5 s] row 48: 117805 peaks, 21176 of them judged here (9.3 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "density 30: 0.0% of the peaks gone; a peak keeps 95% of its intensity (median), 86% (10th percentile)\n" ] }, { "data": { "image/png": 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", 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vr6/CwsIkSZMnT1bDhg1VqlQpVatWTc8884wSExOt+aVfYrd06VLVrVtXnp6e6tGjhy5cuKB58+YpICBA5cqV03PPPafU1FTrecnJyRoyZIiqVKmiUqVKqXnz5lq7dq01/fDhw+rSpYvKlSunUqVKqX79+vr222+zXK6rz8pycXHRe++9p+7du8vT01O1a9fW119/neXzQ0NDdfjwYT3//PNycXGRi4uLzfQVK1aoXr16Kl26tDp27KijR4/aTH/vvfdUr149lShRQrfccoumTZuW5WstXbpUZcuWtcZjx44dcnFx0bBhw6w+jz/+uB555BGbMU43cuRIBQcHa/78+QoICJC3t7cefPBBnT9/3uqTlJSkvn37qnTp0qpUqZImTZqUIY4zZ86ob9++KleunDw9PdWpUyft27dP0n+XulaoUEGff/651T84OFiVKlWyHv/000/y8PDQhQsXslxWAP+HZBcAAAAA5IO3335br7/+uqpWraqjR48qJibGmjZv3jy5u7trw4YNmjFjhiTJ1dVV77zzjn799VfNmzdPP/zwg1588UWbeV64cEHvvPOOPv30Uy1fvlxr165V9+7d9e233+rbb7/V/PnzNXPmTJvEycCBA7Vp0yZ9+umn2rlzpx544AF17NjRSrZEREQoOTlZ69ev165duzRhwgSVLl06V8s6atQo9ezZUzt37tTdd9+thx9+WKdPn86075dffqmqVavq9ddf19GjR22SWRcuXNBbb72l+fPna/369frzzz81ZMgQa/qCBQs0fPhwjRkzRnv27NHYsWP12muvad68eZm+VqtWrXT+/Hlt375dkrRu3Tr5+vraJPvWrVun0NDQLJftwIEDWrJkiZYuXaqlS5dq3bp1Gj9+vDV96NChWrdunb766iutXLlSa9eu1bZt22zm0a9fP23ZskVff/21Nm3aJGOM7r77bl26dEkuLi5q3bq1FdOZM2e0Z88e/fvvv9q7d68VY0hIiDw9PbOME8AVDJCN8PBwc++99zo6jFxZvHixqVmzpnF1dTWDBg3K8fNGjBhhgoKC8i2u/FajRg0zZcqUHPefM2eO8fb2LhSxAPYkySxevDjL6QcPHjSSzPbt26/7NfLz85MT9lgGY2787z0AuBFMmTLF1KhRw6atTZs2pnHjxtd87qJFi0z58uWtx3PmzDGSzP79+622J5980nh6eprz589bbWFhYebJJ580xhhz+PBh4+bmZv7++2+bed91113m5ZdfNsYY07BhQzNy5MgcL9PV+3qSzKuvvmo9TkxMNJLMd999l+N5ZLV80dHRxs/Pz3pcs2ZN8/HHH9s8b/To0aZFixZZvtatt95qJk6caIwxplu3bmbMmDHG3d3dnD9/3vz1119Gkvn999+tGK7cxo8YMcJ4enqahIQEq23o0KGmefPmxhhjzp8/b9zd3c1nn31mTT916pQpWbKk9Vvk999/N5LMhg0brD4nT540JUuWtJ73zjvvmPr16xtjjFmyZIlp3ry5uffee8306dONMca0a9fO/O9//8tyGQHY4swuOJ0nn3xSPXr00JEjRzR69OhM+7i4uGjJkiUFG1ghY4/im4XhjjkFycXFRYcOHXJ0GEVKv3791K1bt1w95+jRo+rUqVP+BPT/Xf35Sb/EoaBUq1bNaYocA0BR1aRJkwxtq1at0l133aUqVaqoTJky6tOnj06dOmVz6Zqnp6dq1qxpPfbz81NAQIDNmVh+fn46fvy4JGnXrl1KTU1VnTp1VLp0aetv3bp1OnDggCTpueee0xtvvKHbb79dI0aM0M6dO3O9PI0aNbL+L1WqlLy8vKwYcuPq5atUqZI1n6SkJB04cECPPfaYzbK88cYb1rJkpk2bNlq7dq2MMfrxxx913333qV69evrpp5+0bt06Va5cWbVr187y+QEBASpTpkymMR04cEApKSlq3ry5Nd3Hx0d169a1Hu/Zs0fFihWz6VO+fHnVrVtXe/bssWKMi4vTiRMnrDPNQkNDtXbtWl26dEkbN27M9uwzALYoUI8CZ4xRamqqihWz/9svMTFRx48fV1hYmCpXrmz3+TsTim/e2G60QrYFyd/fP99fw9GfHzc3twJZTgBA/ilVqpTN40OHDumee+7R008/rTFjxsjHx0c//fSTHnvsMaWkpFiXrxUvXtzmeS4uLpm2paWlSfpv/9jNzU1bt26Vm5ubTb/0BNnjjz+usLAwLVu2TCtXrtS4ceM0adIkPfvsszlenuxiyI3M5mOMsZZFkmbPnm2TOJKUYdmuFBoaqg8++ECxsbEqXry4brnlFiuRdObMGbVp0ybXMV3PsmWnYcOG8vHx0bp167Ru3TqNGTNG/v7+mjBhgmJiYnTp0qVsb3IAwBZndkGff/65GjZsqJIlS6p8+fJq166dkpKSbPq89dZbqlSpksqXL6+IiAhdunTJmjZ//nw1bdpUZcqUkb+/vx566CGbozhr166Vi4uLvvvuOzVp0kQeHh766aeflJaWpnHjxummm25SyZIlFRQUZFNbIDPZFXZcu3atdcTlzjvvlIuLi821+OnSC4N2797dplDolcuTVfHJ64k5ICBAo0ePVu/evVWqVClVqVJF0dHRNn3Onj2rxx9/XBUqVJCXl5fuvPNOxcbGWtMPHDige++9V35+fipdurRCQkK0atWqbF/3vffeU9myZbV69epMp19P8c0rrV27Vv3799e5c+eswqIjR460pl+4cEGPPvqoypQpo+rVq2vWrFk2zz9y5Ih69uypsmXLysfHR/fee2+2Z02dOXNGDz/8sCpUqKCSJUuqdu3amjNnjjX9r7/+Uu/eveXj46NSpUqpadOm+uWXX3I8fgEBARo7dmy2MecmnqstXrxYHh4eOnHiRIZpQ4cOVePGjbN8rpT3QrbZFXq9fPmynnvuOZUtW1bly5fXSy+9pPDwcJszquz9eZUyPxsqKirK+kyOHDlS8+bN01dffWW9x9auXauUlBQNHDhQlSpVUokSJVSjRg2NGzfOmsfVZ25u3rxZjRs3VokSJdS0aVOrZseVdu/erU6dOql06dLy8/NTnz59dPLkySyX7crPz9y5czVq1CjFxsZacc6dO1fGGI0cOVLVq1eXh4eHKleurOeeey7T+Z07d05ubm7asmWLpP/G28fHR7fddpvV56OPPlK1atUk/feDyMXFRTt27JD0f9+zq1evVtOmTeXp6amWLVvqt99+s3md8ePHy8/PT2XKlNFjjz2mixcv2kxPS0uzast4eHgoODhYy5cvt6b36NFDAwcOtB4PHjxYLi4uVj2RlJQUlSpV6prfTwCAjLZu3aq0tDRNmjRJt912m+rUqaN//vknz/Nt3LixUlNTdfz4cdWqVcvm78oDJ9WqVdNTTz2lL7/8Ui+88IJmz56d59fOjru7u00R/Zzw8/NT5cqV9ccff2RYlptuuinL56XX7ZoyZYqV2EpPdq1duzZPZ0zVrFlTxYsXt/Y7pf/2ga48A7xevXq6fPmyTZ9Tp07pt99+U2BgoKT/9l9atWqlr776Sr/++qvuuOMONWrUSMnJyZo5c6aaNm2aIUEKIGsku4q4o0ePqnfv3nr00Ue1Z88erV27Vvfdd5919ESS1qxZowMHDmjNmjWaN2+e5s6dq7lz51rTL126pNGjRys2NlZLlizRoUOH1K9fvwyvNWzYMI0fP1579uxRo0aNNG7cOH344YeaMWOGfv31Vz3//PN65JFHtG7duizjza6w45U/7L744gsdPXo006Mf6YVB58yZk6FQ6LWKT15PzJI0ceJEBQUFafv27Ro2bJgGDRqk77//3pr+wAMP6Pjx4/ruu++0detW3Xrrrbrrrrusop6JiYm6++67tXr1am3fvl0dO3ZUly5d9Oeff2b6em+++aaGDRumlStX6q677so2titda/mv1LJlS0VFRcnLy8sqLHpl8dBJkyZZiYVnnnlGTz/9tLV+Ll26pLCwMJUpU0Y//vijNmzYYCVhUlJSMn291157TXFxcfruu++0Z88eTZ8+Xb6+vtb4tGnTRn///be+/vprxcbG6sUXX7Q5opmT8csu5tzEk5l58+apU6dOmd6qu3fv3tqxY8c1LxnISyHb7Aq9TpgwQQsWLNCcOXO0YcMGJSQkZLjM196f15wYMmSIevbsaSXn0j/T77zzjr7++mt99tln+u2337RgwYIMSet0iYmJuueeexQYGKitW7dq5MiRNssu/ZdsvvPOO9W4cWNt2bJFy5cvV3x8vHr27JmjOHv16qUXXnhB9evXt+Ls1auXvvjiC02ZMkUzZ87Uvn37tGTJEjVs2DDTeXh7eys4ONhK0O/atUsuLi7avn27lbxct27dNY88v/LKK5o0aZK2bNmiYsWK6dFHH7WmffbZZxo5cqTGjh2rLVu2qFKlShnuXvX2229r0qRJeuutt7Rz506FhYWpa9euVpIy/TKQdFcX+eXIMwBcv1q1aunSpUt699139ccff2j+/PnW9j4v6tSpo4cfflh9+/bVl19+qYMHD2rz5s0aN26cli1bJum/gxcrVqzQwYMHtW3bNq1Zs0b16tXL82tnJyAgQOvXr9fff/+d7QGmq40aNUrjxo3TO++8o99//127du3SnDlzNHny5CyfU65cOTVq1EgLFiywElutW7fWtm3b9Pvvv19z+5qd0qVL67HHHtPQoUP1ww8/aPfu3erXr59cXf/vp3bt2rV17733asCAAfrpp58UGxurRx55RFWqVNG9995r9QsNDdUnn3yi4OBglS5dWq6urmrdurUWLFiQpxiBIsmB9cJQCGzdutVIMocOHcp0enh4uKlRo4a5fPmy1fbAAw+YXr16ZTnPmJgYI8kqkrlmzRojySxZssTqc/HiRePp6Wk2btxo89zHHnvM9O7dO9P55qSw45kzZ4wks2bNmmyXW5kUsL5W8cnridmY/4pvduzY0aatV69eplOnTsYYY3788Ufj5eVlLl68aNOnZs2aZubMmVnOt379+ubdd9+1eZ0pU6aYF1980VSqVMns3r07y+cak/vimzmZx5WxPPLII9bjtLQ0U7FiRavA5vz5803dunVNWlqa1Sc5OdmULFnSrFixItPX6tKli+nfv3+m02bOnGnKlCljTp06lWWsV8ts/LKLOTfxXC01NdWUKVPGTJ06Ncs+3t7e5q233spyuj0L2V5d6NXPz88q2mqMMZcvXzbVq1e3bk6RX5/XzIqjX13EN7ObZDz77LPmzjvvtHn/XOnKz/fMmTNN+fLlzb///mtNnz59uk1x99GjR5sOHTrYzOPIkSNGkvntt98yfY3MPj9XL8ukSZNMnTp1TEpKSqbzuFpkZKTp3LmzMcaYqKgo06tXLxMUFGQV961Vq5aZNWuWMSZjgfr079lVq1ZZ81u2bJmRZC17ixYtzDPPPGPzms2bN7eJu3LlymbMmDE2fUJCQqzn7dy507i4uJjjx4+b06dPG3d3dzN69Ghrm/DGG2+Yli1b5mh5AaCoyKpAfWY3Upo8ebKpVKmSKVmypAkLCzMffvihkWTOnDljjMl83yuzbdDV28+UlBQzfPhwExAQYIoXL24qVapkunfvbnbu3GmMMWbgwIGmZs2axsPDw1SoUMH06dPHnDx5MstlyqxA/dX71t7e3mbOnDlZzmPTpk2mUaNGxsPDw6T/LM1s+RYvXmyu/tm6YMECExwcbNzd3U25cuVM69atzZdffpnlaxljzKBBg4wks2fPHqstKCjI+Pv72/TLyTb+6nV6/vx588gjjxhPT0/j5+dn3nzzzQzr+PTp06ZPnz7G29vbWr/pRfHTbd++3UgyL730ks1rSTLLly/PdvkA2KJmVxEXFBSku+66Sw0bNlRYWJg6dOigHj16qFy5claf+vXr21wDX6lSJe3atct6nH62RGxsrM6cOWOdTfPnn39ap+VKUtOmTa3/9+/frwsXLqh9+/Y28aSkpGR5OVdOCjvmVXbFJ68n5nQtWrTI8DgqKkqSFBsbq8TERJUvX96mz7///msV2kxMTNTIkSO1bNkyHT16VJcvX9a///6b6ZlJSUlJ2rJli26++eacL/j/l93y59aVRUpdXFzk7+9vzSs2Nlb79++3eS1JunjxYpbFRZ9++mndf//92rZtmzp06KBu3bpZZ4/s2LFDjRs3lo+PT6bPzen4ZRdzbuK52vHjx3X+/HnVqlXLauvTp4/uvfde9ejRQ9J/p8BfeYlfZrIqZDtu3Djt3btXCQkJunz5si5evKgLFy5YtT2yK/R67tw5xcfHq1mzZtZ0Nzc3NWnSxPosF7bPa79+/dS+fXvVrVtXHTt21D333KMOHTpkGUejRo1UokQJq+3qz2NsbKzWrFmT6S3WDxw4oDp16lxXnA888ICioqJ08803q2PHjrr77rvVpUuXLOsVtmnTRu+//75SU1O1bt06dejQQf7+/lq7dq0aNWqk/fv3X/Myiyvfw5UqVZL03/uvevXq2rNnj5566imb/i1atNCaNWskSQkJCfrnn390++232/S5/fbbrcuqGzRoYNUTcXd3V+PGjXXPPfdYl2Zf69btAFAUDR48WIMHD7Zpy6zUhiQ9//zzev75523a+vTpY/3fr1+/DFdQjBw50qaUhCSbqzCk/2pOjRo1SqNGjcr0dd99990s48/M1aUnzBVXhaQ7e/ZstvO47bbbbMp2SJkvX7du3TLM/6GHHtJDDz2U43il/0olpO9/p0svB5BdDJmN79XrtHTp0po/f77mz59vtQ0dOtTmOeXKldOHH36YbYzBwcEZljWz9w+AayPZVcS5ubnp+++/18aNG7Vy5Uq9++67euWVV/TLL79Y171nV5AxKSlJYWFhCgsL04IFC1ShQgX9+eefCgsLy3A52pXXmKdflrNs2TJVqVLFpp+Hh4fdlzOnrlXcU7J/zImJiapUqVKmOz3pNYGGDBmi77//Xm+99ZZq1aqlkiVLqkePHhnGuFWrVlq2bJk+++wzDRs2LNex2LP45rXGskmTJlqwYEGG52V2mZ8kderUSYcPH9a3336r77//XnfddZciIiL01ltvXbNQeE7HLzfLn108Wbl8+bL1f3qCLp2rq6tcXFyyXQ57FrLNbKc0K/n13nd1dc0QR04ucbz11lt18OBBfffdd1q1apV69uypdu3aXbOGWFYSExPVpUsXTZgwIcO09ITR9ahWrZp+++03rVq1St9//72eeeYZTZw4UevWrcuwTqT/Lqc4f/68tm3bpvXr12vs2LHy9/fX+PHjFRQUdM07RUm26zr9/WTPArouLi5q3bq11q5dKw8PD4WGhlr1RHbv3q2NGzdmuEwUAAAAKGjU7IJcXFx0++23a9SoUdq+fbvc3d21ePHiHD137969OnXqlMaPH69WrVrplltuydGZQIGBgfLw8NCff/6ZobhkegHmq+WksGNOFS9ePNcFMa8n5nQ///xzhsfpdRBuvfVWHTt2TMWKFcsw3/QaUBs2bFC/fv3UvXt3NWzYUP7+/pkWc2/WrJm+++47jR07Ntuki71cT2FR6b9l3rdvnypWrJhhmb29vbN8XoUKFRQeHq6PPvpIUVFRVgH5Ro0aaceOHVaNs6vldPxyK6t4rlaxYkV5enpahUqTk5O1b98+xcXFSfovGXHw4MEs605lxR6FbL29veXn52dTuy41NVXbtm2zHufX57VChQo6duyYTcLr6iOsWb3HvLy81KtXL82ePVsLFy7UF198ken6r1evnnbu3GlTiP3qz+Ott96qX3/9VQEBARmWL6eFYLOKs2TJkurSpYveeecdrV27Vps2bbI5M/ZKZcuWVaNGjTR16lTrTlGtW7fW9u3btXTp0jzX6qhXr57N+pBsx8LLy0uVK1fWhg0bbPps2LDB5js2vW5XekHf9HoiEydOVHJycoYzwwAAAICCRrKriPvll1+sYsV//vmnvvzyS504cSLHBSmrV68ud3d3q5Dm119/rdGjR1/zeWXKlNGQIUP0/PPPa968eTpw4IC2bdumd999V/Pmzcv0OTkt7JgTAQEBWr16tY4dO6YzZ87k6DnXE3O6DRs26M0339Tvv/+u6OhoLVq0SIMGDZIktWvXTi1atFC3bt20cuVKHTp0SBs3btQrr7xi3Zmtdu3a+vLLL7Vjxw7FxsbqoYceyvJsjZYtW+rbb7/VqFGjMpyqbW8BAQFKTEzU6tWrdfLkSV24cCFHz3v44Yfl6+ure++9Vz/++KMOHjyotWvX6rnnntNff/2V6XOGDx+ur776Svv379evv/6qpUuXWu/T3r17y9/fX926ddOGDRv0xx9/6IsvvtCmTZsk5W78ciq7eK7m6uqqe++9V1OnTtW2bdv0+uuv684779TixYu1adMmjR8/XqdPn1aXLl1yFYO9Ctk+++yzGjdunL766iv99ttvGjRokM6cOWOdGZRfn9fQ0FCdOHFCb775pg4cOKDo6Gh99913NvMJCAjQzp079dtvv+nkyZO6dOmSJk+erE8++UR79+7V77//rkWLFsnf39/m7qLpHnroIbm4uGjAgAGKi4vTt99+myERHBERodOnT6t3796KiYnRgQMHtGLFCvXv3z/HydyAgAAdPHhQO3bs0MmTJ5WcnKy5c+fq/fff1+7du/XHH3/oo48+UsmSJVWjRo0s5xMaGmpThNbHx0f16tXTwoUL85zsGjRokD744APNmTNHv//+u0aMGKFff/3Vps/QoUM1YcIELVy4UL/99puGDRumHTt2WN9X6THGxcVZd4q6Mm7uFAUAAIDCgGRXEefl5aX169fr7rvvVp06dfTqq69q0qRJ6tSpU46eX6FCBc2dO1eLFi1SYGCgxo8fn+MzikaPHq3XXntN48aNU7169dSxY0ctW7Ys29sGz5kzR02aNNE999yjFi1ayBijb7/9NtNLgrIzadIkff/996pWrdo1623lNWZJeuGFF7RlyxY1btxYb7zxhiZPnqywsDBJ/51Z9+2336p169bq37+/6tSpowcffFCHDx+Wn5+fJGny5MkqV66cWrZsqS5duigsLEy33nprlq93xx13aNmyZXr11VdzXYMhN1q2bKmnnnpKvXr1UoUKFfTmm2/m6Hmenp5av369qlevrvvuu0/16tXTY489posXL8rLyyvT57i7u+vll19Wo0aN1Lp1a7m5uenTTz+1pq1cuVIVK1bU3XffrYYNG2r8+PFWrbncjl9OZBdPZt5++23VqVNHLVu21DfffKOoqCi98sor6tSpk9555x1Nnz4912coBgUFafLkyZowYYIaNGigBQsWaNy4cblelpdeekm9e/dW37591aJFC5UuXVphYWE2da7y4/Nar149TZs2TdHR0QoKCtLmzZszXAI3YMAA1a1bV02bNlWFChW0YcMGlSlTRm+++aaaNm2qkJAQHTp0SN9++63NXY/SlS5dWt9884127dqlxo0b65VXXslwuWL62Uypqanq0KGDGjZsqMGDB6ts2bKZzjMz999/vzp27Ki2bduqQoUK+uSTT1S2bFnNnj1bt99+uxo1aqRVq1bpm2++yVCf70pt2rRRamqqTd2r0NDQDG3Xo1evXnrttdf04osvqkmTJjp8+LCefvppmz7PPfecIiMj9cILL6hhw4Zavny5vv76a5vLJxs2bKiyZctad4qyZ4wAAACAPbiY3BRuAZBrAQEBFJbEDSUtLU316tVTz549c3SmJgAAAAAUJhSoB4Ai7vDhw1q5cqXatGmj5ORkTZ06VQcPHsz1XY4AAAAAoDDgMkYAKOJcXV01d+5chYSE6Pbbb9euXbu0atWqHNfuAwAAAIDChMsYAQAAAAAA4DQ4swsAAAAAAABOg2QXAAAAAAAAnAbJLgAAAAAAADgNkl0AAAAAAABwGiS7AAAAAAAA4DRIdgEAAAAAAMBpkOwCAAAAAACA0yDZBQAAAAAAAKfx/wCakprvn/xRTAAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": "if probe is None:\n mid = p[\"omega\"].shape[0] // 2\n edge = int(np.argmin(np.abs(p[\"dty\"][:, 0] - (p[\"prov\"][\"options\"][\"y0\"] + 0.8 * p[\"prov\"][\"resolved\"][\"sample_radius\"]))))\n probe = [mid, edge]\nprobed = dg.probe_rows(p, probe, cut, window, max_frames, log=log)\nfig = figure(\"survival\", figsize=(13, 4.4))\nw_density = interact(fig, pl.plot_survival(fig, probed), density=widgets.FloatLogSlider(\n value=p[\"prov\"][\"options\"][\"density\"], base=10, min=-1, max=4, step=0.05, description=\"density\",\n continuous_update=False))\nfig = figure(\"capture\", figsize=(12, 3.8))\npl.plot_capture(fig, probed)\nshow(fig)", "id": "cell-11" }, { "cell_type": "code", "metadata": {}, "execution_count": 8, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "density 30, cut 1\n" ] } ], "source": "density_used = w_density.kwargs[\"density\"]\nif not np.isclose(density_used, p[\"prov\"][\"options\"][\"density\"]):\n prepare_file = prepare(density=density_used)\n p = sim.stages.load_prepare(prepare_file)\nprint(f\"density {density_used:g}, cut {cut:g}\")", "id": "cell-12" }, { "cell_type": "markdown", "metadata": {}, "source": "## 4. Render and assemble\n\nEvery row of the scan, every phase summed, written above the cut. Rows are independent: on a cluster, split them between jobs with `python -m anri.simulate render --rows a:b` (one file per job), then `assemble` gathers every part made from the prepare file, and refuses if a row is missing or twice. Here it is one job.", "id": "cell-13" }, { "cell_type": "code", "metadata": {}, "execution_count": 9, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 84.9 s] rendering rows 0..56 of 57, 1 phase(s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 85.0 s] row 0 (dty -28): 0 peaks (0 outside the omega range), 0 pixels above 1, window capture >= 1.0000 (0.0 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 100.4 s] row 1 (dty -27): 5436 peaks (37 outside the omega range), 0 pixels above 1, window capture >= 0.9979 (15.4 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 116.7 s] row 2 (dty -26): 16831 peaks (148 outside the omega range), 68 pixels above 1, window capture >= 0.9972 (16.3 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 117.0 s] row 3 (dty -25): 31599 peaks (331 outside the omega range), 12378 pixels above 1, window capture >= 0.9970 (0.3 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 117.3 s] row 4 (dty -24): 49150 peaks (580 outside the omega range), 30560 pixels above 1, window capture >= 0.9957 (0.3 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 117.7 s] row 5 (dty -23): 69084 peaks (869 outside the omega range), 41531 pixels above 1, window capture >= 0.9957 (0.4 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 118.1 s] row 6 (dty -22): 90956 peaks (1238 outside the omega range), 50722 pixels above 1, window capture >= 0.9957 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 118.6 s] row 7 (dty -21): 106985 peaks (1569 outside the omega range), 57864 pixels above 1, window capture >= 0.9957 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 119.1 s] row 8 (dty -20): 119543 peaks (1883 outside the omega range), 66025 pixels above 1, window capture >= 0.9957 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 119.5 s] row 9 (dty -19): 130079 peaks (2102 outside the omega range), 73764 pixels above 1, window capture >= 0.9957 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 120.0 s] row 10 (dty -18): 139338 peaks (2236 outside the omega range), 78757 pixels above 1, window capture >= 0.9957 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 120.5 s] row 11 (dty -17): 147359 peaks (2311 outside the omega range), 85700 pixels above 1, window capture >= 0.9958 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 121.0 s] row 12 (dty -16): 153927 peaks (2346 outside the omega range), 90198 pixels above 1, window capture >= 0.9968 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 121.4 s] row 13 (dty -15): 159317 peaks (2354 outside the omega range), 94373 pixels above 1, window capture >= 0.9914 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 121.9 s] row 14 (dty -14): 163497 peaks (2337 outside the omega range), 96100 pixels above 1, window capture >= 0.9914 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 122.4 s] row 15 (dty -13): 166799 peaks (2366 outside the omega range), 97239 pixels above 1, window capture >= 0.9912 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 122.9 s] row 16 (dty -12): 169472 peaks (2432 outside the omega range), 98532 pixels above 1, window capture >= 0.8582 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 123.4 s] row 17 (dty -11): 171656 peaks (2520 outside the omega range), 100391 pixels above 1, window capture >= 0.8582 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 123.9 s] row 18 (dty -10): 173883 peaks (2683 outside the omega range), 102332 pixels above 1, window capture >= 0.4392 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 124.4 s] row 19 (dty -9): 175999 peaks (2844 outside the omega range), 103105 pixels above 1, window capture >= 0.4392 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 125.0 s] row 20 (dty -8): 177850 peaks (3022 outside the omega range), 104872 pixels above 1, window capture >= 0.4392 (0.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 125.5 s] row 21 (dty -7): 179175 peaks (3217 outside the omega range), 105598 pixels above 1, window capture >= 0.4392 (0.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 126.1 s] row 22 (dty -6): 180319 peaks (3448 outside the omega range), 104406 pixels above 1, window capture >= 0.4392 (0.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 126.7 s] row 23 (dty -5): 181430 peaks (3644 outside the omega range), 106072 pixels above 1, window capture >= 0.4392 (0.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 127.2 s] row 24 (dty -4): 182014 peaks (3809 outside the omega range), 107285 pixels above 1, window capture >= 0.4392 (0.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 127.8 s] row 25 (dty -3): 182648 peaks (3872 outside the omega range), 109127 pixels above 1, window capture >= 0.4392 (0.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 128.4 s] row 26 (dty -2): 183491 peaks (3993 outside the omega range), 108850 pixels above 1, window capture >= 0.9032 (0.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 129.1 s] row 27 (dty -1): 183914 peaks (3957 outside the omega range), 107413 pixels above 1, window capture >= 0.9032 (0.7 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 129.4 s] row 28 (dty 0): 184843 peaks (3818 outside the omega range), 107732 pixels above 1, window capture >= 0.9032 (0.2 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 129.9 s] row 29 (dty 1): 185172 peaks (3691 outside the omega range), 108811 pixels above 1, window capture >= 0.9032 (0.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 130.5 s] row 30 (dty 2): 185208 peaks (3623 outside the omega range), 109726 pixels above 1, window capture >= 0.9656 (0.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 131.1 s] row 31 (dty 3): 185013 peaks (3604 outside the omega range), 112526 pixels above 1, window capture >= 0.9656 (0.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 131.7 s] row 32 (dty 4): 184809 peaks (3618 outside the omega range), 114339 pixels above 1, window capture >= 0.7732 (0.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 132.3 s] row 33 (dty 5): 183452 peaks (3630 outside the omega range), 116391 pixels above 1, window capture >= 0.7732 (0.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 132.9 s] row 34 (dty 6): 181751 peaks (3496 outside the omega range), 114574 pixels above 1, window capture >= 0.7732 (0.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 133.5 s] row 35 (dty 7): 179972 peaks (3380 outside the omega range), 111245 pixels above 1, window capture >= 0.7732 (0.6 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 134.1 s] row 36 (dty 8): 177940 peaks (3259 outside the omega range), 107309 pixels above 1, window capture >= 0.7732 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 134.6 s] row 37 (dty 9): 175817 peaks (3139 outside the omega range), 104670 pixels above 1, window capture >= 0.7732 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 135.1 s] row 38 (dty 10): 173398 peaks (2993 outside the omega range), 101589 pixels above 1, window capture >= 0.7732 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 135.6 s] row 39 (dty 11): 170355 peaks (2958 outside the omega range), 99924 pixels above 1, window capture >= 0.7732 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 136.1 s] row 40 (dty 12): 167266 peaks (2871 outside the omega range), 95855 pixels above 1, window capture >= 0.7732 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 136.6 s] row 41 (dty 13): 163595 peaks (2785 outside the omega range), 93928 pixels above 1, window capture >= 0.9967 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 137.1 s] row 42 (dty 14): 159300 peaks (2654 outside the omega range), 91845 pixels above 1, window capture >= 0.9968 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 137.6 s] row 43 (dty 15): 154234 peaks (2504 outside the omega range), 90493 pixels above 1, window capture >= 0.9966 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 138.0 s] row 44 (dty 16): 148927 peaks (2376 outside the omega range), 86598 pixels above 1, window capture >= 0.9966 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 138.5 s] row 45 (dty 17): 143042 peaks (2232 outside the omega range), 82438 pixels above 1, window capture >= 0.9967 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 139.0 s] row 46 (dty 18): 135937 peaks (2091 outside the omega range), 79092 pixels above 1, window capture >= 0.9966 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 139.5 s] row 47 (dty 19): 127589 peaks (1930 outside the omega range), 74723 pixels above 1, window capture >= 0.9967 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 139.7 s] row 48 (dty 20): 117805 peaks (1743 outside the omega range), 66305 pixels above 1, window capture >= 0.9966 (0.2 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 140.1 s] row 49 (dty 21): 105967 peaks (1556 outside the omega range), 59740 pixels above 1, window capture >= 0.9303 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 140.6 s] row 50 (dty 22): 90191 peaks (1367 outside the omega range), 53089 pixels above 1, window capture >= 0.9303 (0.5 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 141.0 s] row 51 (dty 23): 68560 peaks (1063 outside the omega range), 44856 pixels above 1, window capture >= 0.9303 (0.4 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 141.3 s] row 52 (dty 24): 48920 peaks (754 outside the omega range), 33369 pixels above 1, window capture >= 0.9303 (0.3 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 141.6 s] row 53 (dty 25): 31498 peaks (474 outside the omega range), 13415 pixels above 1, window capture >= 0.9303 (0.3 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 141.9 s] row 54 (dty 26): 16835 peaks (240 outside the omega range), 33 pixels above 1, window capture >= 0.9303 (0.3 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 142.0 s] row 55 (dty 27): 5444 peaks (57 outside the omega range), 0 pixels above 1, window capture >= 0.9303 (0.1 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 142.0 s] row 56 (dty 28): 0 peaks (0 outside the omega range), 0 pixels above 1, window capture >= 1.0000 (0.0 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 142.0 s] -> /tmp/tmptmq4lznu/am316l_tmap_render.h5 (57 s)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 142.1 s] 1 part(s), 57 rows, 4407877 pixels -> /tmp/tmptmq4lznu/am316l/am316l_sim/am316l_sim_sparse.h5, /tmp/tmptmq4lznu/am316l/am316l_sim/am316l_sim_dataset.h5, /tmp/tmptmq4lznu/pars/pars.json\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "[ 142.2 s] -> /tmp/tmptmq4lznu/am316l_tmap_assemble.h5\n" ] } ], "source": "render_file = sim.stages.stage_render(prepare_file, cut=cut, window=window, max_frames=max_frames, command=NOTEBOOK,\n log=log)\nassemble_file = sim.stages.stage_assemble(prepare_file, analysisroot, sample, dataset, command=NOTEBOOK, log=log)", "id": "cell-14" }, { "cell_type": "markdown", "metadata": {}, "source": "The middle row of the dataset written, summed over its frames (the Debye-Scherrer rings of spots), and the counts per frame.", "id": "cell-15" }, { "cell_type": "code", "metadata": {}, "execution_count": 10, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": "sparse_file = anri.io.provenance.read_provenance(assemble_file)[\"resolved\"][\"sparse_file\"]\nfig = figure(\"row\", figsize=(13, 5.5))\npl.plot_row_image(fig, dg.row_image(sparse_file, p[\"omega\"].shape[0] // 2), \"middle row, summed over its frames\")\nshow(fig)", "id": "cell-16" }, { "cell_type": "markdown", "metadata": {}, "source": "## The command line, and the files\n\nThe `python -m anri.simulate run` command that remakes the dataset with every option chosen (`anri.simulate.stages.run_command`), then how the assemble file was made (`anri.io.provenance.show`, as `python -m anri.simulate show`). The dataset can go straight to the [indexing parameters](indexing_parameters.ipynb) notebook (`analysisroot`, `sample`, `dataset`) or to `python -m anri.index`.", "id": "cell-17" }, { "cell_type": "code", "metadata": {}, "execution_count": 11, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "python -m anri.simulate run /home/esrf/james1997a/Code/Anri/tests/data/phantoms/am316l/am316l_tmap.h5 /tmp/tmptmq4lznu/geometry.par /tmp/tmptmq4lznu am316l sim --bandwidth 0.002 --density 30.0 --det-shape 2162 2068 --dty-step 1.0 --margin 3.0 --omega-range 0.0 180.0 --omega-step 0.1 --optics al-crl --pol-factor 1.0 --psf 0.5 --y0 0.0 --batch 65536 --cut 1.0 --max-frames 31 --window 3 7 7\n", "\n", "[prepare]\n", "file = '/tmp/tmptmq4lznu/am316l_tmap_prepare.h5'\n", "anri_version = '0.1.0'\n", "command = 'rendering_parameters.ipynb'\n", "cwd = '/home/esrf/james1997a/Code/Anri/docs/source/tutorials'\n", "date = '2026-10-12T16:32:00+02:00'\n", "git_commit = 'a28af32265a15aa47fa5f6e1c90af8b7c25794b3'\n", "git_dirty = True\n", "id = 'd04238ef0e494ce3a25c0e6a4e2e16eb'\n", "\n", "[prepare.options]\n", "bandwidth = 0.002\n", "density = 30.0\n", "det_shape = [2162, 2068]\n", "dty_step = 1.0\n", "map = '/home/esrf/james1997a/Code/Anri/tests/data/phantoms/am316l/am316l_tmap.h5'\n", "margin = 3.0\n", "omega_range = [0.0, 180.0]\n", "omega_step = 0.1\n", "optics = 'al-crl'\n", "pars = '/tmp/tmptmq4lznu/geometry.par'\n", "pol_factor = 1.0\n", "psf = 0.5\n", "y0 = 0.0\n", "\n", "[prepare.resolved]\n", "beam_fwhm = 1.0\n", "divergence = 8e-05\n", "dty_step = 1.0\n", "n_frames = 1800\n", "n_rows = 57\n", "phases = ['316L']\n", "sample_radius = 25.0\n", "sig_beam = 0.42466090014400953\n", "sig_wavelength = 0.00024146218782188385\n", "tth_max = 26.750388608579332\n", "voxel_size = 0.5\n", "wavelength = 0.2843\n", "\n", "[assemble]\n", "file = '/tmp/tmptmq4lznu/am316l_tmap_assemble.h5'\n", "anri_version = '0.1.0'\n", "command = 'rendering_parameters.ipynb'\n", "cwd = '/home/esrf/james1997a/Code/Anri/docs/source/tutorials'\n", "date = '2026-10-12T16:34:21+02:00'\n", "git_commit = 'a28af32265a15aa47fa5f6e1c90af8b7c25794b3'\n", "git_dirty = True\n", "id = '2f0468ef21ec4673bd9205d5e5da5be5'\n", "source = '/tmp/tmptmq4lznu/am316l_tmap_prepare.h5'\n", "source_id = 'd04238ef0e494ce3a25c0e6a4e2e16eb'\n", "\n", "[assemble.options]\n", "analysisroot = '/tmp/tmptmq4lznu'\n", "dataset = 'sim'\n", "peaks_table = False\n", "sample = 'am316l'\n", "\n", "[assemble.resolved]\n", "dataset_file = '/tmp/tmptmq4lznu/am316l/am316l_sim/am316l_sim_dataset.h5'\n", "parfile = '/tmp/tmptmq4lznu/pars/pars.json'\n", "part_ids = ['3b47d0c5260f4e2eaee672bdfa697d94']\n", "parts = ['/tmp/tmptmq4lznu/am316l_tmap_render.h5']\n", "sparse_file = '/tmp/tmptmq4lznu/am316l/am316l_sim/am316l_sim_sparse.h5'\n", "\n", "[assemble.results]\n", "pixels = 4407877\n", "rows = 57\n", "\n" ] } ], "source": "print(sim.stages.run_command(assemble_file), end=\"\\n\\n\")\nprint(anri.io.provenance.show(assemble_file))", "id": "cell-18" } ] }