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https://github.com/pim-n/pg-rad
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feature-ba
| Author | SHA1 | Date | |
|---|---|---|---|
| 8098ab9329 |
51
src/pg_rad/background/background.py
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51
src/pg_rad/background/background.py
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@ -0,0 +1,51 @@
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from importlib.resources import files
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from typing import Tuple
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import numpy as np
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from pandas import read_csv
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from pg_rad.configs.defaults import FWHM_PARAMS
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from pg_rad.detector.detector import Detector
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def generate_background(
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cps_array: np.ndarray,
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) -> np.ndarray:
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"""
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Generate synthetic background cps for a given detector and energy.
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"""
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pass
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def fwhm(A: float, B: float, C: float, E: float) -> float:
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return np.sqrt(A + B * E + C * E**2)
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def get_roi_from_fwhm(
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detector: Detector,
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energy_keV: float
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) -> Tuple[float, float]:
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"""
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Get the region of interest for given primary gamma energy, using
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the 3*FWHM rule.
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"""
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A, B, C = FWHM_PARAMS.get(detector.type)
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delta = 3*fwhm(A, B, C, energy_keV)
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return (energy_keV-delta, energy_keV+delta)
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def get_cps_from_roi(
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detector: Detector,
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roi_lo: float,
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roi_hi: float
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) -> float:
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csv = files('pg_rad.data.backgrounds').joinpath(detector.name+'.csv')
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data = read_csv(csv)
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# get indices of nearest bins
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idx_min = (data["Energy"] - roi_lo).abs().idxmin()
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idx_max = (data["Energy"] - roi_hi).abs().idxmin()
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idx_start, idx_end = sorted([idx_min, idx_max])
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cps_sum = data.loc[idx_start:idx_end, "cps"].sum()
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return cps_sum
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@ -23,3 +23,10 @@ DETECTOR_EFFICIENCIES = {
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"NaIR": 0.0216,
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"NaIF": 0.0254
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}
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# A, B, C parameters for different detector types
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# for formula FWHM(E) = sqrt(A + B*E + C*E^2)
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FWHM_PARAMS = {
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"NaI": (-70.55, 2.678, 0.000602),
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"HPGe": (1.778, 0.001843, 0.000001)
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}
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257
src/pg_rad/data/backgrounds/LU_NaI_3inch.csv
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257
src/pg_rad/data/backgrounds/LU_NaI_3inch.csv
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@ -0,0 +1,257 @@
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Energy,Data,cps
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0,0,0
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11.6866,0,0
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23.3732,1653,1.181558256
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35.0598,3827,2.735525375
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||||
46.7464,5010,3.581129378
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||||
58.433,7880,5.632594711
|
||||
70.1196,11068,7.911365261
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||||
81.8062,13414,9.588277341
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93.4928,14536,10.39027877
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||||
105.179,14580,10.42172981
|
||||
116.866,14138,10.10578985
|
||||
128.553,13559,9.691922802
|
||||
140.239,12725,9.095782702
|
||||
151.926,11597,8.289492495
|
||||
163.612,10696,7.645461044
|
||||
175.299,9847,7.038598999
|
||||
186.986,9063,6.478198713
|
||||
198.672,8192,5.855611151
|
||||
210.359,7627,5.451751251
|
||||
222.045,6941,4.961401001
|
||||
233.732,6450,4.610436026
|
||||
245.419,6046,4.321658327
|
||||
257.105,5560,3.974267334
|
||||
268.792,4845,3.463187991
|
||||
280.478,4267,3.05003574
|
||||
292.165,4066,2.906361687
|
||||
303.852,3711,2.652609006
|
||||
315.538,3413,2.439599714
|
||||
327.225,3080,2.201572552
|
||||
338.911,3035,2.169406719
|
||||
350.598,2789,1.993566833
|
||||
362.285,2766,1.977126519
|
||||
373.971,2432,1.73838456
|
||||
385.658,2182,1.55968549
|
||||
397.344,2010,1.436740529
|
||||
409.031,1911,1.365975697
|
||||
420.718,1871,1.337383846
|
||||
432.404,1678,1.199428163
|
||||
444.091,1601,1.144388849
|
||||
455.777,1538,1.099356683
|
||||
467.464,1473,1.052894925
|
||||
479.151,1390,0.993566833
|
||||
490.837,1369,0.978556112
|
||||
502.524,1358,0.970693352
|
||||
514.21,1356,0.96926376
|
||||
525.897,1323,0.945675482
|
||||
537.584,1256,0.897784132
|
||||
549.27,1171,0.837026447
|
||||
560.957,1072,0.766261615
|
||||
572.643,1094,0.781987134
|
||||
584.33,1157,0.827019299
|
||||
596.017,1073,0.766976412
|
||||
607.703,1083,0.774124375
|
||||
619.39,1042,0.744817727
|
||||
631.076,995,0.711222302
|
||||
642.763,938,0.670478914
|
||||
654.45,770,0.550393138
|
||||
666.136,787,0.562544675
|
||||
677.823,761,0.543959971
|
||||
689.509,703,0.502501787
|
||||
701.196,671,0.479628306
|
||||
712.883,611,0.436740529
|
||||
724.569,599,0.428162974
|
||||
736.256,573,0.40957827
|
||||
747.942,623,0.445318084
|
||||
759.629,636,0.454610436
|
||||
771.316,634,0.453180843
|
||||
783.002,602,0.430307362
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794.689,525,0.375268049
|
||||
806.375,544,0.388849178
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818.062,557,0.39814153
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829.749,527,0.376697641
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841.435,508,0.363116512
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853.122,509,0.363831308
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864.808,478,0.341672623
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876.495,498,0.355968549
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888.182,515,0.368120086
|
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899.868,521,0.372408863
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911.555,539,0.385275197
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||||
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934.928,545,0.389563974
|
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|
||||
958.301,489,0.349535382
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||||
969.988,490,0.350250179
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||||
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||||
993.361,437,0.312365976
|
||||
1005.05,406,0.290207291
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||||
1016.73,380,0.271622588
|
||||
1028.42,357,0.255182273
|
||||
1040.11,346,0.247319514
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1063.48,337,0.240886347
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||||
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1636.12,60,0.042887777
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|
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1869.86,33,0.023588277
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1904.92,37,0.026447462
|
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1916.6,28,0.020014296
|
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1928.29,41,0.029306648
|
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1939.98,39,0.027877055
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1951.66,46,0.032880629
|
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1963.35,46,0.032880629
|
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1975.04,36,0.025732666
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1986.72,39,0.027877055
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1998.41,47,0.033595425
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2010.1,59,0.042172981
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2021.78,56,0.040028592
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2033.47,44,0.031451036
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2045.15,57,0.040743388
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2056.84,50,0.035739814
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2068.53,68,0.048606147
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2080.21,56,0.040028592
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2091.9,53,0.037884203
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2103.59,51,0.03645461
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2115.27,30,0.021443888
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2126.96,40,0.028591851
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2138.65,47,0.033595425
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2150.33,42,0.030021444
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2162.02,49,0.035025018
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2173.71,31,0.022158685
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2185.39,29,0.020729092
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2197.08,49,0.035025018
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2208.77,26,0.018584703
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2220.45,32,0.022873481
|
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2232.14,23,0.016440315
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2243.83,19,0.013581129
|
||||
2255.51,31,0.022158685
|
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2267.2,16,0.011436741
|
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2278.89,21,0.015010722
|
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2290.57,19,0.013581129
|
||||
2302.26,20,0.014295926
|
||||
2313.95,14,0.010007148
|
||||
2325.63,18,0.012866333
|
||||
2337.32,18,0.012866333
|
||||
2349.01,22,0.015725518
|
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2360.69,27,0.0192995
|
||||
2372.38,21,0.015010722
|
||||
2384.07,21,0.015010722
|
||||
2395.75,35,0.02501787
|
||||
2407.44,49,0.035025018
|
||||
2419.13,55,0.039313796
|
||||
2430.81,47,0.033595425
|
||||
2442.5,68,0.048606147
|
||||
2454.19,56,0.040028592
|
||||
2465.87,57,0.040743388
|
||||
2477.56,63,0.045032166
|
||||
2489.25,52,0.037169407
|
||||
2500.93,61,0.043602573
|
||||
2512.62,37,0.026447462
|
||||
2524.31,34,0.024303074
|
||||
2535.99,34,0.024303074
|
||||
2547.68,26,0.018584703
|
||||
2559.37,15,0.010721944
|
||||
2571.05,16,0.011436741
|
||||
2582.74,9,0.006433167
|
||||
2594.43,12,0.008577555
|
||||
2606.11,8,0.00571837
|
||||
2617.8,11,0.007862759
|
||||
2629.48,2,0.001429593
|
||||
2641.17,7,0.005003574
|
||||
2652.86,5,0.003573981
|
||||
2664.54,2,0.001429593
|
||||
2676.23,2,0.001429593
|
||||
2687.92,0,0
|
||||
2699.6,6,0.004288778
|
||||
2711.29,2,0.001429593
|
||||
2722.98,6,0.004288778
|
||||
2734.66,5,0.003573981
|
||||
2746.35,5,0.003573981
|
||||
2758.04,2,0.001429593
|
||||
2769.72,5,0.003573981
|
||||
2781.41,6,0.004288778
|
||||
2793.1,7,0.005003574
|
||||
2804.78,2,0.001429593
|
||||
2816.47,2,0.001429593
|
||||
2828.16,6,0.004288778
|
||||
2839.84,5,0.003573981
|
||||
2851.53,4,0.002859185
|
||||
2863.22,1,0.000714796
|
||||
2874.9,4,0.002859185
|
||||
2886.59,4,0.002859185
|
||||
2898.28,5,0.003573981
|
||||
2909.96,2,0.001429593
|
||||
2921.65,3,0.002144389
|
||||
2933.34,4,0.002859185
|
||||
2945.02,5,0.003573981
|
||||
2956.71,3,0.002144389
|
||||
2968.4,0,0
|
||||
2980.08,0,0
|
||||
|
42
tests/test_roi.py
Normal file
42
tests/test_roi.py
Normal file
@ -0,0 +1,42 @@
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import pytest
|
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|
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from pg_rad.background.background import get_roi_from_fwhm, get_cps_from_roi
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from pg_rad.detector.detector import load_detector
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|
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E_gamma = 661.7 # keV
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||||
|
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|
||||
@pytest.fixture
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||||
def detector():
|
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return load_detector("LU_NaI_3inch")
|
||||
|
||||
|
||||
@pytest.fixture
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||||
def roi_Cs137_NaI(detector):
|
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return get_roi_from_fwhm(detector, E_gamma)
|
||||
|
||||
|
||||
@pytest.mark.parametrize("ref_roi_lo, ref_roi_hi", [
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(537.58, 792.69)
|
||||
])
|
||||
def test_roi_acquisition_Cs137_NaI(ref_roi_lo, ref_roi_hi, roi_Cs137_NaI):
|
||||
"""Test against ROI used in GammaVision"""
|
||||
est_roi_lo, est_roi_hi = roi_Cs137_NaI
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||||
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||||
assert pytest.approx(est_roi_lo, rel=0.05) == ref_roi_lo
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assert pytest.approx(est_roi_hi, rel=0.05) == ref_roi_hi
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||||
@pytest.mark.parametrize("ref_cps", [
|
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13.61
|
||||
])
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||||
def test_cps_acquisition_Cs137_NaI(
|
||||
ref_cps,
|
||||
roi_Cs137_NaI,
|
||||
detector
|
||||
):
|
||||
"""Test against cps from GammaVision"""
|
||||
est_roi_lo, est_roi_hi = roi_Cs137_NaI
|
||||
est_cps = get_cps_from_roi(detector, est_roi_lo, est_roi_hi)
|
||||
|
||||
assert pytest.approx(est_cps, rel=0.1) == ref_cps
|
||||
Reference in New Issue
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