In [1]:
import os
import sys
import glob
root_folder = os.path.dirname(os.getcwd())
sys.path.append(root_folder)
import pprint
import shutil
from ResoFit._utilities import Layer
from ResoFit.calibration import Calibration
from ResoFit.fitresonance import FitResonance
In [2]:
# Global parameters
energy_min = 7
energy_max = 250
energy_step = 0.01
In [3]:
# Input sample name or names as str, case sensitive
layer_1 = 'U'
thickness_1 = 0.085
density_1 = None
layer_2 = 'Gd'
thickness_2 = 0.085
density_2 = None
layer = Layer()
layer.add_layer(layer=layer_1, thickness_mm=thickness_1, density_gcm3=density_1)
layer.add_layer(layer=layer_2, thickness_mm=thickness_2, density_gcm3=density_2)
In [4]:
folder = 'data/IPTS_19558/reso_data_19558'
data_file = 'spheres.csv'
spectra_file = 'Image002_Spectra.txt'
image_start = None # Can be omitted or =None
image_end = None # Can be omitted or =None
norm_to_file = None # 'sphere_background_1.csv'
baseline = True
each_step = False
before = False
table = True
grid = True
peak = 'indexed'
items_to_plot = None
repeat = 1
source_to_detector_m = 16. # 16#16.445359069030175#16.447496101100739
offset_us = 0 # 0#2.7120797253959119#2.7355447625559037
In [10]:
# Calibrate source_to_detector and/or delay
calibration = Calibration(data_file=data_file,
spectra_file=spectra_file,
layer=layer,
energy_min=energy_min,
energy_max=energy_max,
energy_step=energy_step,
folder=folder,
baseline=baseline)
calibration.experiment.norm_to(norm_to_file)
calibration.experiment.slice(start=300, end=image_end)
calibrate_result = calibration.calibrate(source_to_detector_m=source_to_detector_m,
offset_us=offset_us,
vary='all',
each_step=each_step)
# calibration.find_peak()
calibration.index_peak(thres=0.13, min_dist=21)
+----------------- Calibration -----------------+
Params before:
Name Value Min Max Stderr Vary Expr Brute_Step
offset_us 0 -inf inf None True None None
source_to_detector_m 16 -inf inf None True None None
Params after:
Name Value Min Max Stderr Vary Expr Brute_Step
offset_us 2.705 -inf inf 0.02859 True None None
source_to_detector_m 16.43 -inf inf 0.003151 True None None
Calibration chi^2 : 159.5384091064498
/Users/Shawn/anaconda3/envs/py36/lib/python3.6/site-packages/peakutils/peak.py:221: UserWarning:
At least 3 points required for Gaussian fitting
Out[10]:
{'230-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: []}, '231-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: []}, '232-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: []}, '233-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: []}, '234-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: []}, '235-U': {'exp': x y x_num x_num_o x_s x_A
0 208.734373 0.030893 191 491 0.000080 0.019795
1 189.817157 0.063543 216 516 0.000084 0.020757
2 102.627980 0.104566 410 710 0.000115 0.028230,
'ideal': x y x_num x_num_o x_s x_A
0 209.621265 0.000415 191 491 0.000080 0.019753
1 189.521432 0.000339 216 516 0.000084 0.020774
2 102.921022 0.000344 410 710 0.000115 0.028190}, '236-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [],
'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: []}, '237-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: []}, '238-U': {'exp': x y x_num x_num_o x_s x_A
0 208.734373 0.030893 191 491 0.000080 0.019795
1 189.817157 0.063543 216 516 0.000084 0.020757
2 116.833546 0.049514 364 664 0.000107 0.026458
3 102.627980 0.104566 410 710 0.000115 0.028230
4 66.002401 0.112798 591 891 0.000144 0.035202
5 36.681655 0.248735 903 1203 0.000193 0.047219
6 20.878876 0.277571 1302 1602 0.000257 0.062588,
'ideal': x y x_num x_num_o x_s x_A
0 208.537399 0.485987 191 491 0.000080 0.019804
1 189.691072 0.877455 216 516 0.000084 0.020764
2 116.898955 0.558420 364 664 0.000107 0.026451
3 102.564215 0.913330 410 710 0.000115 0.028239
4 66.034811 0.828329 591 891 0.000144 0.035193
5 36.685441 0.995554 903 1203 0.000193 0.047217
6 20.873321 0.981611 1302 1602 0.000257 0.062596}, '239-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [],
'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: []}, '240-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: []}, '241-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: []}, 'U': {'exp': x y x_num x_num_o x_s x_A
0 208.734373 0.030893 191 491 0.000080 0.019795
1 189.817157 0.063543 216 516 0.000084 0.020757
2 116.833546 0.049514 364 664 0.000107 0.026458
3 102.627980 0.104566 410 710 0.000115 0.028230
4 66.002401 0.112798 591 891 0.000144 0.035202
5 36.681655 0.248735 903 1203 0.000193 0.047219
6 20.878876 0.277571 1302 1602 0.000257 0.062588,
'ideal': x y x_num x_num_o x_s x_A
0 208.537399 0.486009 191 491 0.000080 0.019804
1 189.691052 0.877488 216 516 0.000084 0.020764
2 116.898954 0.558445 364 664 0.000107 0.026451
3 102.564222 0.913337 410 710 0.000115 0.028239
4 66.034809 0.828341 591 891 0.000144 0.035193
5 36.685441 0.995554 903 1203 0.000193 0.047217
6 20.873333 0.981616 1302 1602 0.000257 0.062596}, '152-Gd': {'exp': x y x_num x_num_o x_s x_A
0 36.681655 0.248735 903 1203 0.000193 0.047219,
'ideal': x y x_num x_num_o x_s x_A
0 36.861229 0.011505 903 1203 0.000193 0.047104}, '153-Gd': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [],
'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: []}, '154-Gd': {'exp': x y x_num x_num_o x_s x_A
0 22.367439 0.034954 1247 1547 0.000248 0.060469,
'ideal': x y x_num x_num_o x_s x_A
0 22.330643 0.039709 1247 1547 0.000248 0.060519}, '155-Gd': {'exp': x y x_num x_num_o x_s x_A
0 116.833546 0.049514 364 664 0.000107 0.026458,
'ideal': x y x_num x_num_o x_s x_A
0 116.504685 0.014208 364 664 0.000107 0.026495}, '156-Gd': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [],
'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: []}, '157-Gd': {'exp': x y x_num x_num_o x_s x_A
0 208.734373 0.030893 191 491 0.000080 0.019795
1 189.817157 0.063543 216 516 0.000084 0.020757
2 16.754604 0.038395 1491 1791 0.000288 0.069867,
'ideal': x y x_num x_num_o x_s x_A
0 208.514213 0.059186 191 491 0.000080 0.019805
1 190.590535 0.012611 216 516 0.000084 0.020715
2 16.770348 0.242009 1491 1791 0.000288 0.069835}, '158-Gd': {'exp': x y x_num x_num_o x_s x_A
0 22.367439 0.034954 1247 1547 0.000248 0.060469,
'ideal': x y x_num x_num_o x_s x_A
0 22.300856 0.220061 1247 1547 0.000248 0.060559}, '160-Gd': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [],
'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: []}, 'Gd': {'exp': x y x_num x_num_o x_s x_A
0 208.734373 0.030893 191 491 0.000080 0.019795
1 22.367439 0.034954 1247 1547 0.000248 0.060469
2 16.754604 0.038395 1491 1791 0.000288 0.069867,
'ideal': x y x_num x_num_o x_s x_A
0 208.513989 0.063119 191 491 0.000080 0.019805
1 22.304966 0.252113 1247 1547 0.000248 0.060554
2 16.770351 0.243168 1491 1791 0.000288 0.069835}}
In [11]:
calibration.analyze_peak()
/Users/Shawn/anaconda3/envs/py36/lib/python3.6/site-packages/lmfit/models.py:30: FutureWarning:
The current behaviour of 'Series.argmin' is deprecated, use 'idxmin'
instead.
The behavior of 'argmin' will be corrected to return the positional
minimum in the future. For now, use 'series.values.argmin' or
'np.argmin(np.array(values))' to get the position of the minimum
row.
230-U
231-U
232-U
233-U
234-U
235-U
236-U
237-U
238-U
239-U
240-U
241-U
U
152-Gd
153-Gd
154-Gd
155-Gd
156-Gd
157-Gd
158-Gd
160-Gd
Gd
+------------ Peak analysis ------------+
Lorentzian peak fitting:
ele_name center_val fwhm_val
0 Gd 200.438720 61.623589
1 U 200.555419 61.626143
2 U 206.001475 2.619626
3 U 371.404339 44.410071
4 U 417.551973 29.919237
5 U 583.616512 18.535030
6 U 912.901433 17.064536
7 Gd 1237.000000 99.977987
8 U 1308.342215 6.558220
9 Gd 1500.999999 16.095270
Out[11]:
{'230-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '231-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '232-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '233-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '234-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '235-U': {'exp': x y x_num x_num_o x_s x_A
0 208.734373 0.030893 191 491 0.000080 0.019795
1 189.817157 0.063543 216 516 0.000084 0.020757
2 102.627980 0.104566 410 710 0.000115 0.028230,
'ideal': x y x_num x_num_o x_s x_A
0 209.621265 0.000415 191 491 0.000080 0.019753
1 189.521432 0.000339 216 516 0.000084 0.020774
2 102.921022 0.000344 410 710 0.000115 0.028190,
'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '236-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '237-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '238-U': {'exp': x y x_num x_num_o x_s x_A
0 208.734373 0.030893 191 491 0.000080 0.019795
1 189.817157 0.063543 216 516 0.000084 0.020757
2 116.833546 0.049514 364 664 0.000107 0.026458
3 102.627980 0.104566 410 710 0.000115 0.028230
4 66.002401 0.112798 591 891 0.000144 0.035202
5 36.681655 0.248735 903 1203 0.000193 0.047219
6 20.878876 0.277571 1302 1602 0.000257 0.062588,
'ideal': x y x_num x_num_o x_s x_A
0 208.537399 0.485987 191 491 0.000080 0.019804
1 189.691072 0.877455 216 516 0.000084 0.020764
2 116.898955 0.558420 364 664 0.000107 0.026451
3 102.564215 0.913330 410 710 0.000115 0.028239
4 66.034811 0.828329 591 891 0.000144 0.035193
5 36.685441 0.995554 903 1203 0.000193 0.047217
6 20.873321 0.981611 1302 1602 0.000257 0.062596,
'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '239-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '240-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '241-U': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, 'U': {'exp': x y x_num x_num_o x_s x_A
0 208.734373 0.030893 191 491 0.000080 0.019795
1 189.817157 0.063543 216 516 0.000084 0.020757
2 116.833546 0.049514 364 664 0.000107 0.026458
3 102.627980 0.104566 410 710 0.000115 0.028230
4 66.002401 0.112798 591 891 0.000144 0.035202
5 36.681655 0.248735 903 1203 0.000193 0.047219
6 20.878876 0.277571 1302 1602 0.000257 0.062588,
'ideal': x y x_num x_num_o x_s x_A
0 208.537399 0.486009 191 491 0.000080 0.019804
1 189.691052 0.877488 216 516 0.000084 0.020764
2 116.898954 0.558445 364 664 0.000107 0.026451
3 102.564222 0.913337 410 710 0.000115 0.028239
4 66.034809 0.828341 591 891 0.000144 0.035193
5 36.685441 0.995554 903 1203 0.000193 0.047217
6 20.873333 0.981616 1302 1602 0.000257 0.062596,
'peak_span': img_num time_s energy_ev y
0 469 NaN NaN 0.012684
1 470 NaN NaN 0.004289
2 471 NaN NaN 0.001291
3 472 NaN NaN 0.008873
4 473 NaN NaN 0.006188
5 474 NaN NaN 0.005130
6 475 NaN NaN 0.010383
7 476 NaN NaN 0.009706
8 477 NaN NaN 0.003763
9 478 NaN NaN 0.003917
10 479 NaN NaN 0.007447
11 480 NaN NaN 0.004197
12 481 NaN NaN 0.006877
13 482 NaN NaN 0.005485
14 483 NaN NaN 0.005972
15 484 NaN NaN 0.003941
16 485 NaN NaN 0.004490
17 486 NaN NaN 0.008827
18 487 NaN NaN 0.011401
19 488 NaN NaN 0.007508
20 489 NaN NaN 0.009062
21 490 NaN NaN 0.018400
22 491 NaN NaN 0.030893
23 492 NaN NaN 0.022086
24 493 NaN NaN 0.019742
25 494 NaN NaN 0.013376
26 495 NaN NaN 0.009352
27 496 NaN NaN 0.005296
28 497 NaN NaN 0.009517
29 498 NaN NaN 0.004586
.. ... ... ... ...
164 891 NaN NaN 0.112798
165 892 NaN NaN 0.092392
166 893 NaN NaN 0.065829
167 1204 NaN NaN 0.240044
168 1205 NaN NaN 0.210111
169 1206 NaN NaN 0.168009
170 1207 NaN NaN 0.132390
171 1208 NaN NaN 0.098721
172 1209 NaN NaN 0.076901
173 1210 NaN NaN 0.056926
174 1211 NaN NaN 0.041041
175 1212 NaN NaN 0.032215
176 1213 NaN NaN 0.032299
177 1214 NaN NaN 0.026595
178 1215 NaN NaN 0.019350
179 1216 NaN NaN 0.017041
180 1217 NaN NaN 0.009515
181 1218 NaN NaN 0.015088
182 1219 NaN NaN 0.009389
183 1220 NaN NaN 0.012895
184 1221 NaN NaN 0.007194
185 1222 NaN NaN 0.012612
186 1605 NaN NaN 0.250244
187 1606 NaN NaN 0.227217
188 1607 NaN NaN 0.196309
189 1608 NaN NaN 0.166811
190 1609 NaN NaN 0.141601
191 1610 NaN NaN 0.113972
192 1611 NaN NaN 0.097309
193 1612 NaN NaN 0.082321
[194 rows x 4 columns]}, '152-Gd': {'exp': x y x_num x_num_o x_s x_A
0 36.681655 0.248735 903 1203 0.000193 0.047219,
'ideal': x y x_num x_num_o x_s x_A
0 36.861229 0.011505 903 1203 0.000193 0.047104,
'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '153-Gd': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '154-Gd': {'exp': x y x_num x_num_o x_s x_A
0 22.367439 0.034954 1247 1547 0.000248 0.060469,
'ideal': x y x_num x_num_o x_s x_A
0 22.330643 0.039709 1247 1547 0.000248 0.060519,
'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '155-Gd': {'exp': x y x_num x_num_o x_s x_A
0 116.833546 0.049514 364 664 0.000107 0.026458,
'ideal': x y x_num x_num_o x_s x_A
0 116.504685 0.014208 364 664 0.000107 0.026495,
'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '156-Gd': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '157-Gd': {'exp': x y x_num x_num_o x_s x_A
0 208.734373 0.030893 191 491 0.000080 0.019795
1 189.817157 0.063543 216 516 0.000084 0.020757
2 16.754604 0.038395 1491 1791 0.000288 0.069867,
'ideal': x y x_num x_num_o x_s x_A
0 208.514213 0.059186 191 491 0.000080 0.019805
1 190.590535 0.012611 216 516 0.000084 0.020715
2 16.770348 0.242009 1491 1791 0.000288 0.069835,
'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '158-Gd': {'exp': x y x_num x_num_o x_s x_A
0 22.367439 0.034954 1247 1547 0.000248 0.060469,
'ideal': x y x_num x_num_o x_s x_A
0 22.300856 0.220061 1247 1547 0.000248 0.060559,
'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, '160-Gd': {'exp': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'ideal': Empty DataFrame
Columns: [x, y, x_num, x_num_o, x_s, x_A]
Index: [], 'peak_span': Empty DataFrame
Columns: [img_num, time_s, energy_ev, y]
Index: []}, 'Gd': {'exp': x y x_num x_num_o x_s x_A
0 208.734373 0.030893 191 491 0.000080 0.019795
1 22.367439 0.034954 1247 1547 0.000248 0.060469
2 16.754604 0.038395 1491 1791 0.000288 0.069867,
'ideal': x y x_num x_num_o x_s x_A
0 208.513989 0.063119 191 491 0.000080 0.019805
1 22.304966 0.252113 1247 1547 0.000248 0.060554
2 16.770351 0.243168 1491 1791 0.000288 0.069835,
'peak_span': img_num time_s energy_ev y
0 469 NaN NaN 0.012684
1 470 NaN NaN 0.004289
2 471 NaN NaN 0.001291
3 472 NaN NaN 0.008873
4 473 NaN NaN 0.006188
5 474 NaN NaN 0.005130
6 475 NaN NaN 0.010383
7 476 NaN NaN 0.009706
8 477 NaN NaN 0.003763
9 478 NaN NaN 0.003917
10 479 NaN NaN 0.007447
11 480 NaN NaN 0.004197
12 481 NaN NaN 0.006877
13 482 NaN NaN 0.005485
14 483 NaN NaN 0.005972
15 484 NaN NaN 0.003941
16 485 NaN NaN 0.004490
17 486 NaN NaN 0.008827
18 487 NaN NaN 0.011401
19 488 NaN NaN 0.007508
20 489 NaN NaN 0.009062
21 490 NaN NaN 0.018400
22 491 NaN NaN 0.030893
23 492 NaN NaN 0.022086
24 493 NaN NaN 0.019742
25 494 NaN NaN 0.013376
26 495 NaN NaN 0.009352
27 496 NaN NaN 0.005296
28 497 NaN NaN 0.009517
29 498 NaN NaN 0.004586
.. ... ... ... ...
154 1577 NaN NaN 0.015922
155 1578 NaN NaN 0.008554
156 1579 NaN NaN 0.014686
157 1580 NaN NaN 0.012511
158 1581 NaN NaN 0.010052
159 1582 NaN NaN 0.015927
160 1583 NaN NaN 0.011623
161 1584 NaN NaN 0.020440
162 1585 NaN NaN 0.020760
163 1586 NaN NaN 0.021391
164 1587 NaN NaN 0.014890
165 1792 NaN NaN 0.036879
166 1793 NaN NaN 0.022115
167 1794 NaN NaN 0.025880
168 1795 NaN NaN 0.024397
169 1796 NaN NaN 0.025111
170 1797 NaN NaN 0.019267
171 1798 NaN NaN 0.021771
172 1799 NaN NaN 0.017297
173 1800 NaN NaN 0.020138
174 1801 NaN NaN 0.016521
175 1802 NaN NaN 0.009995
176 1803 NaN NaN 0.011747
177 1804 NaN NaN 0.012940
178 1805 NaN NaN 0.007316
179 1806 NaN NaN 0.008670
180 1807 NaN NaN 0.009237
181 1808 NaN NaN -0.001981
182 1809 NaN NaN 0.015731
183 1810 NaN NaN 0.009290
[184 rows x 4 columns]}}
In [23]:
calibration.plot(before=before,
table=table,
peak_exp=peak,
grid=grid,
index_level='ele',
peak_height=False,
interp=False,)
/Users/Shawn/anaconda3/envs/py36/lib/python3.6/site-packages/matplotlib/tight_layout.py:198: UserWarning:
tight_layout cannot make axes width small enough to accommodate all axes decorations
/Users/Shawn/anaconda3/envs/py36/lib/python3.6/site-packages/matplotlib/tight_layout.py:209: UserWarning:
tight_layout cannot make axes height small enough to accommodate all axes decorations
Out[23]:
<matplotlib.axes._subplots.AxesSubplot at 0x114813b38>
In [17]:
calibration.experiment.o_peak.peak_map_indexed[layer_1]['peak_span']
Out[17]:
img_num
time_s
energy_ev
y
0
469
NaN
NaN
0.012684
1
470
NaN
NaN
0.004289
2
471
NaN
NaN
0.001291
3
472
NaN
NaN
0.008873
4
473
NaN
NaN
0.006188
5
474
NaN
NaN
0.005130
6
475
NaN
NaN
0.010383
7
476
NaN
NaN
0.009706
8
477
NaN
NaN
0.003763
9
478
NaN
NaN
0.003917
10
479
NaN
NaN
0.007447
11
480
NaN
NaN
0.004197
12
481
NaN
NaN
0.006877
13
482
NaN
NaN
0.005485
14
483
NaN
NaN
0.005972
15
484
NaN
NaN
0.003941
16
485
NaN
NaN
0.004490
17
486
NaN
NaN
0.008827
18
487
NaN
NaN
0.011401
19
488
NaN
NaN
0.007508
20
489
NaN
NaN
0.009062
21
490
NaN
NaN
0.018400
22
491
NaN
NaN
0.030893
23
492
NaN
NaN
0.022086
24
493
NaN
NaN
0.019742
25
494
NaN
NaN
0.013376
26
495
NaN
NaN
0.009352
27
496
NaN
NaN
0.005296
28
497
NaN
NaN
0.009517
29
498
NaN
NaN
0.004586
...
...
...
...
...
164
891
NaN
NaN
0.112798
165
892
NaN
NaN
0.092392
166
893
NaN
NaN
0.065829
167
1204
NaN
NaN
0.240044
168
1205
NaN
NaN
0.210111
169
1206
NaN
NaN
0.168009
170
1207
NaN
NaN
0.132390
171
1208
NaN
NaN
0.098721
172
1209
NaN
NaN
0.076901
173
1210
NaN
NaN
0.056926
174
1211
NaN
NaN
0.041041
175
1212
NaN
NaN
0.032215
176
1213
NaN
NaN
0.032299
177
1214
NaN
NaN
0.026595
178
1215
NaN
NaN
0.019350
179
1216
NaN
NaN
0.017041
180
1217
NaN
NaN
0.009515
181
1218
NaN
NaN
0.015088
182
1219
NaN
NaN
0.009389
183
1220
NaN
NaN
0.012895
184
1221
NaN
NaN
0.007194
185
1222
NaN
NaN
0.012612
186
1605
NaN
NaN
0.250244
187
1606
NaN
NaN
0.227217
188
1607
NaN
NaN
0.196309
189
1608
NaN
NaN
0.166811
190
1609
NaN
NaN
0.141601
191
1610
NaN
NaN
0.113972
192
1611
NaN
NaN
0.097309
193
1612
NaN
NaN
0.082321
194 rows × 4 columns
In [18]:
calibration.experiment.o_peak.peak_map_indexed[layer_2]['peak_span']
Out[18]:
img_num
time_s
energy_ev
y
0
469
NaN
NaN
0.012684
1
470
NaN
NaN
0.004289
2
471
NaN
NaN
0.001291
3
472
NaN
NaN
0.008873
4
473
NaN
NaN
0.006188
5
474
NaN
NaN
0.005130
6
475
NaN
NaN
0.010383
7
476
NaN
NaN
0.009706
8
477
NaN
NaN
0.003763
9
478
NaN
NaN
0.003917
10
479
NaN
NaN
0.007447
11
480
NaN
NaN
0.004197
12
481
NaN
NaN
0.006877
13
482
NaN
NaN
0.005485
14
483
NaN
NaN
0.005972
15
484
NaN
NaN
0.003941
16
485
NaN
NaN
0.004490
17
486
NaN
NaN
0.008827
18
487
NaN
NaN
0.011401
19
488
NaN
NaN
0.007508
20
489
NaN
NaN
0.009062
21
490
NaN
NaN
0.018400
22
491
NaN
NaN
0.030893
23
492
NaN
NaN
0.022086
24
493
NaN
NaN
0.019742
25
494
NaN
NaN
0.013376
26
495
NaN
NaN
0.009352
27
496
NaN
NaN
0.005296
28
497
NaN
NaN
0.009517
29
498
NaN
NaN
0.004586
...
...
...
...
...
154
1577
NaN
NaN
0.015922
155
1578
NaN
NaN
0.008554
156
1579
NaN
NaN
0.014686
157
1580
NaN
NaN
0.012511
158
1581
NaN
NaN
0.010052
159
1582
NaN
NaN
0.015927
160
1583
NaN
NaN
0.011623
161
1584
NaN
NaN
0.020440
162
1585
NaN
NaN
0.020760
163
1586
NaN
NaN
0.021391
164
1587
NaN
NaN
0.014890
165
1792
NaN
NaN
0.036879
166
1793
NaN
NaN
0.022115
167
1794
NaN
NaN
0.025880
168
1795
NaN
NaN
0.024397
169
1796
NaN
NaN
0.025111
170
1797
NaN
NaN
0.019267
171
1798
NaN
NaN
0.021771
172
1799
NaN
NaN
0.017297
173
1800
NaN
NaN
0.020138
174
1801
NaN
NaN
0.016521
175
1802
NaN
NaN
0.009995
176
1803
NaN
NaN
0.011747
177
1804
NaN
NaN
0.012940
178
1805
NaN
NaN
0.007316
179
1806
NaN
NaN
0.008670
180
1807
NaN
NaN
0.009237
181
1808
NaN
NaN
-0.001981
182
1809
NaN
NaN
0.015731
183
1810
NaN
NaN
0.009290
184 rows × 4 columns
In [19]:
def fill_zeros_to_num_str(num_str, tot_digits=5):
while len(num_str)<tot_digits:
num_str = '0' + num_str
return num_str
In [24]:
# fill '0' to match digits of nume surffix
peak_map_indexed = calibration.experiment.o_peak.peak_map_indexed
img_num_str_dict = {}
for each_ele in peak_map_indexed.keys():
img_num_str_dict[each_ele] = {}
img_num = list(peak_map_indexed[each_ele]['peak_span']['img_num'])
img_num_str_dict[each_ele]['num'] = [fill_zeros_to_num_str(num_str) for num_str in list(map(str, img_num))]
img_num_str_dict[each_ele]['len'] = len(img_num_str_dict[each_ele]['num'])
pprint.pprint(img_num_str_dict)
{'152-Gd': {'len': 0, 'num': []},
'153-Gd': {'len': 0, 'num': []},
'154-Gd': {'len': 0, 'num': []},
'155-Gd': {'len': 0, 'num': []},
'156-Gd': {'len': 0, 'num': []},
'157-Gd': {'len': 0, 'num': []},
'158-Gd': {'len': 0, 'num': []},
'160-Gd': {'len': 0, 'num': []},
'230-U': {'len': 0, 'num': []},
'231-U': {'len': 0, 'num': []},
'232-U': {'len': 0, 'num': []},
'233-U': {'len': 0, 'num': []},
'234-U': {'len': 0, 'num': []},
'235-U': {'len': 0, 'num': []},
'236-U': {'len': 0, 'num': []},
'237-U': {'len': 0, 'num': []},
'238-U': {'len': 0, 'num': []},
'239-U': {'len': 0, 'num': []},
'240-U': {'len': 0, 'num': []},
'241-U': {'len': 0, 'num': []},
'Gd': {'len': 184,
'num': ['00469',
'00470',
'00471',
'00472',
'00473',
'00474',
'00475',
'00476',
'00477',
'00478',
'00479',
'00480',
'00481',
'00482',
'00483',
'00484',
'00485',
'00486',
'00487',
'00488',
'00489',
'00490',
'00491',
'00492',
'00493',
'00494',
'00495',
'00496',
'00497',
'00498',
'00499',
'00500',
'00501',
'00502',
'00503',
'00504',
'00505',
'00506',
'00507',
'00508',
'00509',
'00510',
'00511',
'00512',
'00513',
'00514',
'00515',
'00516',
'00517',
'00518',
'00519',
'00520',
'00521',
'00522',
'00523',
'00524',
'00525',
'00526',
'00527',
'00528',
'00529',
'00530',
'00531',
'00532',
'01487',
'01488',
'01489',
'01490',
'01491',
'01492',
'01493',
'01494',
'01495',
'01496',
'01497',
'01498',
'01499',
'01500',
'01501',
'01502',
'01503',
'01504',
'01505',
'01506',
'01507',
'01508',
'01509',
'01510',
'01511',
'01512',
'01513',
'01514',
'01515',
'01516',
'01517',
'01518',
'01519',
'01520',
'01521',
'01522',
'01523',
'01524',
'01525',
'01526',
'01527',
'01528',
'01529',
'01530',
'01531',
'01532',
'01533',
'01534',
'01535',
'01536',
'01537',
'01538',
'01539',
'01540',
'01541',
'01542',
'01543',
'01544',
'01545',
'01546',
'01547',
'01548',
'01549',
'01550',
'01551',
'01552',
'01553',
'01554',
'01555',
'01556',
'01557',
'01558',
'01559',
'01560',
'01561',
'01562',
'01563',
'01564',
'01565',
'01566',
'01567',
'01568',
'01569',
'01570',
'01571',
'01572',
'01573',
'01574',
'01575',
'01576',
'01577',
'01578',
'01579',
'01580',
'01581',
'01582',
'01583',
'01584',
'01585',
'01586',
'01587',
'01792',
'01793',
'01794',
'01795',
'01796',
'01797',
'01798',
'01799',
'01800',
'01801',
'01802',
'01803',
'01804',
'01805',
'01806',
'01807',
'01808',
'01809',
'01810']},
'U': {'len': 194,
'num': ['00469',
'00470',
'00471',
'00472',
'00473',
'00474',
'00475',
'00476',
'00477',
'00478',
'00479',
'00480',
'00481',
'00482',
'00483',
'00484',
'00485',
'00486',
'00487',
'00488',
'00489',
'00490',
'00491',
'00492',
'00493',
'00494',
'00495',
'00496',
'00497',
'00498',
'00499',
'00500',
'00501',
'00502',
'00503',
'00504',
'00505',
'00506',
'00507',
'00508',
'00509',
'00510',
'00511',
'00512',
'00513',
'00514',
'00515',
'00516',
'00517',
'00518',
'00519',
'00520',
'00521',
'00522',
'00523',
'00524',
'00525',
'00526',
'00527',
'00528',
'00529',
'00530',
'00531',
'00532',
'00504',
'00505',
'00506',
'00507',
'00508',
'00649',
'00650',
'00651',
'00652',
'00653',
'00654',
'00655',
'00656',
'00657',
'00658',
'00659',
'00660',
'00661',
'00662',
'00663',
'00664',
'00665',
'00666',
'00667',
'00668',
'00669',
'00670',
'00671',
'00672',
'00673',
'00674',
'00675',
'00676',
'00677',
'00678',
'00679',
'00680',
'00681',
'00682',
'00683',
'00684',
'00685',
'00686',
'00687',
'00688',
'00689',
'00690',
'00691',
'00692',
'00693',
'00694',
'00702',
'00703',
'00704',
'00705',
'00706',
'00707',
'00708',
'00709',
'00710',
'00711',
'00712',
'00713',
'00714',
'00715',
'00716',
'00717',
'00718',
'00719',
'00720',
'00721',
'00722',
'00723',
'00724',
'00725',
'00726',
'00727',
'00728',
'00729',
'00730',
'00731',
'00732',
'00733',
'00874',
'00875',
'00876',
'00877',
'00878',
'00879',
'00880',
'00881',
'00882',
'00883',
'00884',
'00885',
'00886',
'00887',
'00888',
'00889',
'00890',
'00891',
'00892',
'00893',
'01204',
'01205',
'01206',
'01207',
'01208',
'01209',
'01210',
'01211',
'01212',
'01213',
'01214',
'01215',
'01216',
'01217',
'01218',
'01219',
'01220',
'01221',
'01222',
'01605',
'01606',
'01607',
'01608',
'01609',
'01610',
'01611',
'01612']}}
In [11]:
# fill '0' to match digits of nume surffix
peak_map_indexed = calibration.experiment.o_peak.peak_map_indexed
img_num_str_dict = {}
for each_ele in peak_map_indexed.keys():
img_num_str_dict[each_ele] = {}
img_num = list(peak_map_indexed[each_ele]['peak_span']['img_num'])
img_num_str_dict[each_ele]['num'] = [fill_zeros_to_num_str(num_str) for num_str in list(map(str, img_num))]
img_num_str_dict[each_ele]['len'] = len(img_num_str_dict[each_ele]['num'])
pprint.pprint(img_num_str_dict)
{'Gd': {'len': 32,
'num': ['00489',
'00490',
'00491',
'00492',
'00493',
'00494',
'01545',
'01546',
'01547',
'01548',
'01549',
'01550',
'01551',
'01552',
'01553',
'01554',
'01782',
'01783',
'01784',
'01785',
'01786',
'01787',
'01788',
'01789',
'01790',
'01791',
'01792',
'01793',
'01794',
'01795',
'01796',
'01797']},
'U': {'len': 46,
'num': ['00514',
'00515',
'00516',
'00517',
'00518',
'00661',
'00662',
'00663',
'00664',
'00665',
'00666',
'00708',
'00709',
'00710',
'00711',
'00712',
'00713',
'00888',
'00889',
'00890',
'00891',
'00892',
'00893',
'01199',
'01200',
'01201',
'01202',
'01203',
'01204',
'01205',
'01206',
'01207',
'01596',
'01597',
'01598',
'01599',
'01600',
'01601',
'01602',
'01603',
'01604',
'01605',
'01606',
'01607',
'01608',
'01609']}}
In [12]:
_list_files = glob.glob('/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/*.fits')
In [13]:
_list_files
Out[13]:
['/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00000.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00001.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00002.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00003.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00004.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00005.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00006.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00007.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00008.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00009.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00010.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00011.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00012.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00013.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00014.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00015.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00016.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00017.fits',
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'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00850.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00851.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00852.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00853.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00854.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00855.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00856.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00857.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00858.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00859.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00860.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00861.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00862.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00863.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00864.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00865.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00866.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00867.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00868.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00869.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00870.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00871.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00872.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00873.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00874.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00875.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00876.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00877.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00878.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00879.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00880.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00881.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00882.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00883.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00884.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00885.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00886.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00887.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00888.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00889.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00890.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00891.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00892.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00893.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00894.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00895.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00896.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00897.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00898.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00899.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00900.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00901.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00902.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00903.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00904.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00905.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00906.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00907.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00908.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00909.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00910.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00911.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00912.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00913.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00914.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00915.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00916.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00917.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00918.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00919.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00920.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00921.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00922.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00923.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00924.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00925.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00926.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00927.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00928.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00929.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00930.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00931.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00932.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00933.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00934.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00935.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00936.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00937.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00938.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00939.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00940.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00941.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00942.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00943.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00944.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00945.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00946.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00947.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00948.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00949.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00950.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00951.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00952.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00953.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00954.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00955.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00956.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00957.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00958.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00959.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00960.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00961.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00962.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00963.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00964.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00965.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00966.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00967.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00968.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00969.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00970.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00971.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00972.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00973.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00974.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00975.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00976.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00977.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00978.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00979.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00980.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00981.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00982.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00983.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00984.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00985.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00986.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00987.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00988.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00989.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00990.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00991.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00992.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00993.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00994.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00995.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00996.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00997.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00998.fits',
'/Users/y9z/Documents/Neutron_data/IPTS_19558/resonance_data/CT_runs/angles_redo/image10/Image010_00999.fits',
...]
In [14]:
# find full name with img_num
loc_dict = {}
for ele in img_num_str_dict.keys():
loc_dict[ele] = []
for _names in _list_files:
_base_name = _names.split('.')[0]
for _ele in img_num_str_dict.keys():
if _base_name[-5:] in img_num_str_dict[_ele]['num']:
loc_dict[_ele].append(_names)
In [16]:
out_main_dir = '/Users/y9z/Downloads/test/'
for ele in img_num_str_dict.keys():
out_ele_dir = out_main_dir + ele
if os.path.exists(out_ele_dir) is False:
os.makedirs(out_ele_dir)
img_num_str_dict[ele]['dir'] = out_ele_dir
assert os.path.isdir(out_main_dir)
In [17]:
pprint.pprint(img_num_str_dict)
{'Gd': {'dir': '/Users/y9z/Downloads/test/Gd',
'len': 32,
'num': ['00489',
'00490',
'00491',
'00492',
'00493',
'00494',
'01545',
'01546',
'01547',
'01548',
'01549',
'01550',
'01551',
'01552',
'01553',
'01554',
'01782',
'01783',
'01784',
'01785',
'01786',
'01787',
'01788',
'01789',
'01790',
'01791',
'01792',
'01793',
'01794',
'01795',
'01796',
'01797']},
'U': {'dir': '/Users/y9z/Downloads/test/U',
'len': 46,
'num': ['00514',
'00515',
'00516',
'00517',
'00518',
'00661',
'00662',
'00663',
'00664',
'00665',
'00666',
'00708',
'00709',
'00710',
'00711',
'00712',
'00713',
'00888',
'00889',
'00890',
'00891',
'00892',
'00893',
'01199',
'01200',
'01201',
'01202',
'01203',
'01204',
'01205',
'01206',
'01207',
'01596',
'01597',
'01598',
'01599',
'01600',
'01601',
'01602',
'01603',
'01604',
'01605',
'01606',
'01607',
'01608',
'01609']}}
In [49]:
for ele in img_num_str_dict.keys():
for each in loc_dict[ele]:
shutil.copy(src=each, dst=img_num_str_dict[ele]['dir'])
In [ ]:
Content source: ornlneutronimaging/ResoFit
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