Created
October 21, 2024 01:40
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Simulation along the same lines as implemented in HOGBEN
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"id": "36273549-0de8-4917-93cb-cd62b1afb23b", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import numpy as np\n", | |
"import matplotlib.pyplot as plt\n", | |
"\n", | |
"from refnx.reduce import PlatypusNexus, ReductionOptions\n", | |
"from refnx.reduce.platypusnexus import calculate_wavelength_bins\n", | |
"from refnx.dataset import Data1D\n", | |
"\n", | |
"from tof_simulator import ReflectSimulator\n", | |
"\n", | |
"from refnx.reflect import SLD, Slab, ReflectModel\n", | |
"from refnx.util import q\n", | |
"from refnx.util import EPdiv" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 16, | |
"id": "df560ebe-3c0e-41f1-9f22-2f4a3ba7e514", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"air = SLD(0)\n", | |
"sio2 = SLD(3.47)\n", | |
"film = SLD(1.0)\n", | |
"si = SLD(2.07)\n", | |
"\n", | |
"s = air | film(100, 4) | sio2(10, 3) | si(0, 3.5)\n", | |
"model = ReflectModel(s, bkg=0e-6)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 17, | |
"id": "179ebc5b-d030-4b2a-a21a-0f12150ede6b", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"rng = np.random.default_rng()\n", | |
"lo_wavelength = 2.8\n", | |
"hi_wavelength = 19\n", | |
"angle = 0.65\n", | |
"rebin_percent = 2.0\n", | |
"attenuator = 28\n", | |
"measure_time_reflect = 1200\n", | |
"\n", | |
"\n", | |
"class Hoggy:\n", | |
" def __init__(\n", | |
" self,\n", | |
" model,\n", | |
" angle_scale,\n", | |
" spectrum,\n", | |
" attenuator=1.0,\n", | |
" rebin_percent=2.0,\n", | |
" lo_wavelength=2.8,\n", | |
" hi_wavelength=19.,\n", | |
" ):\n", | |
" self.model = model\n", | |
" self.w_bins = calculate_wavelength_bins(lo_wavelength, hi_wavelength, rebin_percent)\n", | |
" self.wval = 0.5 * (self.w_bins[1:] + self.w_bins[:-1])\n", | |
" self.angle_scale = angle_scale \n", | |
" self.attenuator = attenuator\n", | |
" \n", | |
" rdo = ReductionOptions(lo_wavelength=lo_wavelength, hi_wavelength=hi_wavelength,\n", | |
" background=False, normalise=False, normalise_bins=False, rebin_percent=rebin_percent\n", | |
" )\n", | |
" \n", | |
" pn = PlatypusNexus(spectrum)\n", | |
" self.measure_time_direct = pn.cat.cat['time']\n", | |
" \n", | |
" # direct beam spectrum\n", | |
" l, i, di = pn.process(**rdo)\n", | |
" self.l = np.squeeze(l)\n", | |
" self.i = np.squeeze(i)\n", | |
" self.di = np.squeeze(di)\n", | |
" self.spec = np.copy(self.i)\n", | |
" \n", | |
" # divide by count time to get cps on direct beam\n", | |
" self.spec /= self.measure_time_direct[0]\n", | |
" self.spec *= attenuator\n", | |
"\n", | |
" def __call__(self, angle, measure_time, rng=None):\n", | |
" if rng is None:\n", | |
" rng = np.random.default_rng()\n", | |
"\n", | |
" q_bins = q(angle, self.w_bins)\n", | |
" qval = 0.5 * (q_bins[1:] + q_bins[:-1])\n", | |
"\n", | |
" # scale angle compared to incident beam, assuming slits are opened proportionally\n", | |
" scalar = np.pow(angle / self.angle_scale, 2)\n", | |
" _spec = self.spec * scalar\n", | |
" \n", | |
" # scaled spectrum for actual reflectivity measurement\n", | |
" incident_during_reflect = _spec * measure_time\n", | |
" reflected_counts = rng.poisson(incident_during_reflect * self.model(qval))\n", | |
" dreflected_counts = np.sqrt(reflected_counts)\n", | |
" \n", | |
" reflectivity, dreflectivity = EPdiv(reflected_counts, dreflected_counts, self.i, self.di)\n", | |
" reflectivity *= (self.measure_time_direct) / (self.attenuator * measure_time * scalar)\n", | |
" dreflectivity *= (self.measure_time_direct) / (self.attenuator * measure_time * scalar)\n", | |
" \n", | |
" dataset = Data1D(data=(qval, reflectivity, dreflectivity))\n", | |
" return dataset" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 22, | |
"id": "942d4114-465d-4fa2-b8d1-11fccee01adc", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
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", | |
"text/plain": [ | |
"<Figure size 640x480 with 1 Axes>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"h = Hoggy(model, 0.65, 'PLP0049278.nx.hdf', attenuator=28)\n", | |
"ds = h(0.65, 1200)\n", | |
"ds1 = h(4.0, 1800)\n", | |
"\n", | |
"plt.plot(ds.x, ds.y, )\n", | |
"plt.plot(ds1.x, ds1.y, )\n", | |
"\n", | |
"plt.yscale('log')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 45, | |
"id": "1241b561-9ee0-4647-b721-e82facb7aa79", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"/var/folders/n5/31v165v56zlgjfrpvd40q5jr0000gn/T/ipykernel_19195/2604238437.py:13: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", | |
" simmo.sample(1_580_000 * attenuator * int(measure_time_reflect / measure_time_direct))\n" | |
] | |
} | |
], | |
"source": [ | |
"simmo = ReflectSimulator(\n", | |
" model,\n", | |
" 0.65,\n", | |
" direct_spectrum='PLP0049278.nx.hdf',\n", | |
" L12=pn.cat.cat['collimation_distance'],\n", | |
" L2S=pn.cat.cat['sample_distance'] - pn.cat.cat['slit3_distance'],\n", | |
" lo_wavelength=lo_wavelength,\n", | |
" hi_wavelength=hi_wavelength,\n", | |
" rebin=rebin_percent,\n", | |
" gravity=False\n", | |
")\n", | |
"simmo.sample_direct(1_300_000)\n", | |
"simmo.sample(1_580_000 * attenuator * int(measure_time_reflect / measure_time_direct))\n", | |
"ds = simmo.reflectivity" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 46, | |
"id": "49d6994b-cd3c-4ca1-8f00-506dfd992209", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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", | |
"text/plain": [ | |
"<Figure size 640x480 with 1 Axes>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plt.plot(qval, reflected_counts * measure_time_direct / (i * attenuator * measure_time_reflect), label='hoggy')\n", | |
"plt.plot(ds.x, ds.y, label='simmo')\n", | |
"plt.yscale('log')\n", | |
"plt.xscale('log')\n", | |
"plt.legend();" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 47, | |
"id": "4cd1d52d-d300-429c-8e77-6a1e6953f333", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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", | |
"text/plain": [ | |
"<Figure size 640x480 with 1 Axes>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plt.plot(simmo.reflected_beam, label='simmo')\n", | |
"plt.plot(reflected_counts, label='hoggy')\n", | |
"plt.yscale('log');\n", | |
"plt.legend();" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 35, | |
"id": "839bac10-33db-4962-9b65-24fa89203c74", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"(array([1.3000e+01, 1.2000e+01, 1.5000e+01, 1.7000e+01, 6.0000e+00,\n", | |
" 1.7000e+01, 7.0000e+00, 1.3000e+01, 1.6000e+01, 1.1000e+01,\n", | |
" 9.0000e+00, 1.1000e+01, 2.0000e+00, 6.0000e+00, 5.0000e+00,\n", | |
" 5.0000e+00, 5.0000e+00, 1.0000e+00, 4.0000e+00, 3.0000e+00,\n", | |
" 8.0000e+00, 7.0000e+00, 1.3000e+01, 2.8000e+01, 1.9000e+01,\n", | |
" 2.8000e+01, 4.6000e+01, 5.7000e+01, 7.2000e+01, 7.8000e+01,\n", | |
" 9.5000e+01, 1.5500e+02, 1.7500e+02, 2.1400e+02, 2.0300e+02,\n", | |
" 2.4500e+02, 3.1200e+02, 3.4200e+02, 4.0900e+02, 4.1700e+02,\n", | |
" 4.4900e+02, 5.6400e+02, 5.7300e+02, 6.8200e+02, 7.0700e+02,\n", | |
" 8.4500e+02, 9.1800e+02, 9.8200e+02, 1.0820e+03, 1.1980e+03,\n", | |
" 1.2810e+03, 1.4170e+03, 1.5190e+03, 1.5980e+03, 1.7250e+03,\n", | |
" 1.8510e+03, 2.0090e+03, 2.1660e+03, 2.3230e+03, 2.4970e+03,\n", | |
" 2.5380e+03, 2.9050e+03, 3.1540e+03, 3.3200e+03, 3.6230e+03,\n", | |
" 3.9380e+03, 4.1790e+03, 4.4750e+03, 4.8350e+03, 5.2010e+03,\n", | |
" 5.7880e+03, 6.1650e+03, 6.5880e+03, 7.1890e+03, 8.0950e+03,\n", | |
" 8.9410e+03, 1.0440e+04, 1.1956e+04, 1.4945e+04, 2.0338e+04,\n", | |
" 2.8009e+04, 3.6038e+04, 3.9223e+04, 3.7947e+04, 3.4425e+04,\n", | |
" 3.0373e+04, 2.7631e+04, 2.6149e+04, 2.4452e+04, 2.0499e+04,\n", | |
" 1.8161e+04, 1.6423e+04, 1.4255e+04, 1.2272e+04, 9.8540e+03,\n", | |
" 7.5240e+03, 4.9500e+03]),\n", | |
" array([ 31, 32, 28, 24, 36, 31, 24, 26, 30,\n", | |
" 23, 18, 14, 12, 16, 11, 5, 7, 13,\n", | |
" 4, 11, 19, 26, 27, 28, 51, 65, 96,\n", | |
" 107, 119, 171, 209, 234, 358, 360, 422, 506,\n", | |
" 566, 608, 776, 823, 940, 1062, 1160, 1362, 1467,\n", | |
" 1692, 1835, 2002, 2158, 2423, 2603, 2731, 3004, 3199,\n", | |
" 3388, 3697, 3825, 4216, 4483, 4937, 5136, 5689, 5954,\n", | |
" 6488, 6872, 7596, 7873, 8531, 9165, 9981, 10940, 11789,\n", | |
" 12924, 13782, 15073, 17326, 19724, 22867, 28561, 39433, 52914,\n", | |
" 68998, 76299, 71799, 66289, 56787, 51444, 52493, 46120, 38986,\n", | |
" 33551, 31987, 28058, 21578, 19372, 14382, 8714]))" | |
] | |
}, | |
"execution_count": 35, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"simmo.reflected_beam, reflected_counts" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 11, | |
"id": "f58fd8d3-fa59-41ae-b527-d94d5b0d6977", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from refnx.reduce import PlatypusReduce\n", | |
"\n", | |
"_rdo = ReductionOptions(lo_wavelength=lo_wavelength, hi_wavelength=hi_wavelength,\n", | |
" background=False, normalise=True, normalise_bins=False, rebin_percent=rebin_percent\n", | |
")\n", | |
"\n", | |
"d0 = PlatypusReduce('PLP0049278.nx.hdf')\n", | |
"rd0 = d0.reduce('PLP0049280.nx.hdf', **_rdo)[0][0]\n", | |
"\n", | |
"_rdo1 = ReductionOptions(lo_wavelength=lo_wavelength, hi_wavelength=hi_wavelength,\n", | |
" background=False, normalise=True, normalise_bins=True, rebin_percent=rebin_percent\n", | |
")\n", | |
"rd1 = d0.reduce('PLP0049280.nx.hdf', **_rdo1)[0][0]\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 12, | |
"id": "3fb3586a-5320-4c56-a8c4-6e5cc05fbe1a", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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", | |
"text/plain": [ | |
"<Figure size 640x480 with 1 Axes>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plt.plot(rd0.x, rd0.y_err)\n", | |
"plt.plot(rd1.x, rd1.y_err * 1.1)\n", | |
"plt.yscale('log')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "d3538fb2-f944-462c-9de5-c0848f2a6393", | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3 (ipykernel)", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.12.6" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 5 | |
} |
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