bhm in energy spaceThe problem here is that I can't convert directly from bhm in time to energy space because then the energy bins are different (17% range of variation) due to different distances from the fission chamber. Thus, I need to go back to the original construction of the bicorr_hist_master and create two versions: one in time, and one in energy.
This is probably pretty hasty, but I am going to only create this for $nn$ events. Why you might ask? Because.
I'm choosing to not modify the original notebook build_bicorr_hist_master because... just because. I will work with the same methods here.
I will work with the data in the fnpc > datar folder.
In [1]:
import matplotlib.pyplot as plt
import matplotlib.colors
import numpy as np
import os
import scipy.io as sio
import sys
import time
import inspect
import pandas as pd
from tqdm import *
# Plot entire array
np.set_printoptions(threshold=np.nan)
In [2]:
import seaborn as sns
sns.set_palette('spectral')
In [3]:
%load_ext autoreload
%autoreload 2
In [4]:
sys.path.append('../scripts/')
import bicorr as bicorr
import bicorr_plot as bicorr_plot
import bicorr_e as bicorr_e
In [5]:
os.listdir('../datar/1')
Out[5]:
['bicorr1', 'bicorr1_part', 'cced1', 'fig', 'timeOffset.txt']
In [6]:
with open('../datar/1/bicorr1_part') as f:
print(f.read())
22 18 1 57.5 19 2 2.8438
39 17 2 2.9688 18 1 -244.38
50 17 2 8.6406 18 2 2.8438
65 17 2 13.156 27 2 4.0312
91 18 2 2.7812 27 2 4.1562
121 19 2 276.0 20 2 3.9375
123 22 2 6.2656 23 2 3.168
128 24 1 36.406 26 2 2.8125
134 18 2 2.5625 21 1 42.938
134 18 2 2.5625 24 1 55.312
134 21 1 42.938 24 1 55.312
139 24 2 3.0117 26 2 3.2656
144 19 2 -231.25 29 2 3.8047
153 27 1 40.875 28 1 57.875
159 27 1 -137.62 29 1 59.438
171 2 2 3.5273 12 2 29.812
174 4 2 4.2773 6 2 6.1875
189 20 1 58.625 30 2 2.2578
190 7 2 109.38 9 1 32.875
190 7 2 109.38 31 2 189.38
190 9 1 32.875 31 2 189.38
192 7 2 19.578 12 2 90.25
194 6 2 4.1562 31 2 3.0781
197 2 1 53.312 10 2 2.0625
198 3 2 10.586 4 1 35.656
198 3 2 10.586 26 2 -36.0
198 4 1 35.656 26 2 -36.0
225 19 2 146.0 29 2 2.8359
230 26 2 4.7656 29 1 46.719
234 4 1 45.75 12 2 4.0078
237 3 2 2.8359 19 2 2.5938
243 12 1 42.938 29 2 2.7109
247 5 1 -101.19 9 2 -112.0
260 1 2 69.812 8 2 268.0
263 13 2 10.781 29 2 0.078125
269 1 1 -135.25 3 2 -172.12
269 1 1 -135.25 9 2 -173.0
269 3 2 -172.12 9 2 -173.0
270 8 2 215.25 26 2 3.2812
271 22 2 3.0156 25 2 159.75
277 10 1 3.9375 21 2 3.875
279 3 1 48.062 30 1 58.875
289 13 2 44.625 31 2 3.5547
290 1 2 4.0234 8 2 192.0
290 1 2 4.0234 13 1 30.094
290 8 2 192.0 13 1 30.094
293 7 2 2.375 27 2 62.562
297 20 2 21.766 21 2 2.6719
307 11 2 2.4688 13 2 4.5977
310 28 2 3.0938 30 2 -271.75
312 2 1 86.062 7 2 -46.094
314 22 2 325.0 30 1 55.25
315 1 2 -233.0 6 2 111.75
325 27 2 71.688 28 2 3.125
326 14 1 13.25 23 1 45.656
326 14 1 13.25 29 1 28.656
326 23 1 45.656 29 1 28.656
337 20 2 5.4844 25 2 -299.25
344 18 2 2.9375 24 2 3.0742
344 18 2 2.9375 25 2 5.7031
344 24 2 3.0742 25 2 5.7031
346 5 2 3.9062 28 2 64.125
351 17 2 239.62 24 2 188.38
353 17 1 37.562 28 2 3.5938
361 24 1 269.75 30 1 89.5
362 11 2 67.188 21 2 3.75
362 11 2 67.188 28 2 73.875
362 21 2 3.75 28 2 73.875
364 3 2 3.0078 10 2 3.6094
365 5 2 62.719 14 2 2.0
379 2 2 -117.0 12 1 46.219
391 5 2 2.75 19 1 64.625
391 5 2 2.75 21 1 60.375
391 19 1 64.625 21 1 60.375
395 3 2 2.8828 8 2 114.56
396 3 2 3.9609 30 1 62.625
399 6 1 50.406 13 1 125.38
400 20 1 26.656 31 2 2.9844
403 18 2 157.38 26 2 3.0625
405 30 2 1.7031 31 2 5.0547
422 9 2 3.7188 12 2 3.5312
425 1 2 5.3594 13 1 52.094
447 12 2 2.0547 20 2 211.0
452 21 1 50.406 30 2 4.6641
479 12 2 -113.0 21 1 141.25
507 6 1 30.953 7 2 28.594
514 8 1 67.0 12 2 2.2188
516 14 1 58.688 15 1 41.281
540 4 1 88.312 15 1 37.219
543 8 2 2.7344 10 2 3.1562
548 5 2 3.0312 6 2 3.3438
552 3 2 3.0859 10 2 3.8438
604 11 2 3.4688 15 2 -282.0
623 1 2 -23.219 6 2 3.1562
623 1 2 -23.219 8 2 3.4688
623 6 2 3.1562 8 2 3.4688
628 2 2 3.5625 7 2 2.1875
649 4 1 47.344 8 2 3.75
664 7 2 2.2812 15 2 41.75
681 6 1 -119.12 15 2 2.7383
683 2 2 3.4688 11 2 2.625
686 3 2 3.7578 14 1 3.1719
695 1 2 3.9062 5 1 63.25
712 2 2 3.168 15 1 38.062
717 3 2 172.75 12 2 173.12
751 4 2 4.2227 6 2 182.75
760 1 1 45.25 5 2 4.2812
772 3 1 48.594 11 2 -72.25
772 3 1 48.594 13 2 -69.25
772 11 2 -72.25 13 2 -69.25
774 6 2 2.7188 9 1 65.75
788 6 1 37.281 9 1 87.0
804 6 2 206.38 15 2 3.7461
834 4 2 2.7773 6 2 3.2188
838 14 2 2.2188 15 2 2.2695
858 2 2 2.625 13 2 2.1289
858 2 2 2.625 15 2 6.1445
858 13 2 2.1289 15 2 6.1445
868 6 1 60.875 14 2 11.719
893 1 2 -161.25 11 2 3.8438
905 2 2 182.0 8 2 81.5
911 1 1 58.5 15 2 -162.38
922 3 1 37.562 6 2 2.5312
945 1 1 47.75 8 2 5.6094
957 6 2 3.625 7 2 3.1562
989 8 1 45.188 13 2 89.562
999 3 2 -180.75 5 2 -181.5
1011 10 2 -222.25 11 1 2.5938
1014 8 2 30.875 13 2 3.332
1022 3 1 48.719 6 2 3.5
1034 7 1 68.125 15 1 62.938
1055 5 2 2.3438 14 2 6.0781
1066 2 2 3.168 14 1 49.75
1083 3 2 3.7891 8 2 4.8906
1087 1 2 -248.88 12 2 2.9688
1092 5 2 3.6562 7 2 88.0
1121 6 2 3.5 7 2 10.719
1148 10 2 9.6719 14 1 51.188
1182 4 2 268.25 5 2 267.75
1210 6 2 -87.5 8 2 -98.812
1217 2 2 4.8125 7 2 3.5938
1239 6 1 58.781 13 2 3.8711
1251 2 2 2.3164 46 2 2.8516
1256 37 2 32.25 39 2 29.078
1259 6 1 52.625 36 2 3.6641
1260 6 2 3.0938 13 2 4.0039
1271 34 2 204.12 46 2 185.75
1282 14 2 2.5 40 2 6.1484
1282 14 2 2.5 44 1 73.875
1282 40 2 6.1484 44 1 73.875
1286 15 1 42.594 37 2 2.8711
1288 5 2 2.4062 8 2 2.2188
1296 6 2 9.7812 12 1 29.906
1298 12 2 174.88 14 2 2.9375
1298 12 2 174.88 38 2 2.1406
1298 14 2 2.9375 38 2 2.1406
1310 43 2 5.2266 44 2 3.5352
1312 2 2 3.4688 6 2 2.8438
1314 4 1 64.188 14 2 3.4219
1314 4 1 64.188 47 1 49.781
1314 14 2 3.4219 47 1 49.781
1316 4 1 188.25 8 2 2.9375
1318 6 2 5.0938 42 2 1.9375
1325 43 2 3.1641 47 2 3.1875
1339 1 2 107.19 9 1 159.88
1342 4 2 3.168 40 1 28.031
1343 4 2 7.0898 5 2 4.6875
1343 4 2 7.0898 11 2 5.875
1343 4 2 7.0898 40 2 95.938
1343 4 2 7.0898 44 2 92.5
1343 5 2 4.6875 11 2 5.875
1343 5 2 4.6875 40 2 95.938
1343 5 2 4.6875 44 2 92.5
1343 11 2 5.875 40 2 95.938
1343 11 2 5.875 44 2 92.5
1343 40 2 95.938 44 2 92.5
1351 3 1 85.25 46 2 4.3438
1362 34 2 1.5859 42 2 5.0703
1364 12 2 3.7422 39 2 3.0781
1375 34 2 48.875 47 2 5.5234
1390 6 1 63.062 40 2 86.812
1395 33 2 2.4727 38 2 2.1797
1395 33 2 2.4727 39 2 3.1719
1395 38 2 2.1797 39 2 3.1719
1396 11 2 133.25 44 2 3.2305
1398 2 1 31.656 45 1 62.875
1405 6 2 3.5312 44 2 2.1758
1409 5 2 93.5 41 2 5.2461
1415 3 1 64.125 40 2 125.69
1416 9 1 63.938 47 1 40.969
1426 13 1 27.812 38 2 3.2891
1431 14 1 39.719 35 2 96.375
1436 8 1 67.75 40 1 47.188
1436 8 1 67.75 47 1 81.625
1436 40 1 47.188 47 1 81.625
1438 7 2 249.75 15 2 6.2773
1449 36 1 37.406 45 1 3.3594
1452 13 2 17.109 38 2 2.9766
1452 13 2 17.109 47 2 2.6641
1452 38 2 2.9766 47 2 2.6641
1457 10 2 2.8438 14 2 4.7656
1464 12 1 58.875 43 2 8.5469
1476 11 2 3.9062 47 2 -129.25
1477 10 1 158.12 40 2 2.7422
1487 2 2 2.6406 8 2 4.4844
1489 4 2 74.688 6 2 3.3438
1494 33 2 53.469 45 2 2.7578
1497 15 2 79.5 43 2 132.12
1508 33 2 2.9414 39 2 2.4766
1513 7 2 210.25 46 1 80.188
1517 1 1 99.625 15 2 4.3086
1519 35 1 30.859 36 2 3.2344
1533 15 1 13.484 47 2 3.2344
1534 2 1 40.0 34 2 4.0234
1536 11 1 101.12 41 2 31.859
1537 41 1 107.88 44 2 2.9648
1547 3 2 97.812 5 2 3.0312
1558 9 2 -145.88 15 1 60.875
1559 2 2 -148.5 10 2 2.3125
1560 7 1 8.9062 36 2 2.375
1561 14 1 80.625 35 2 3.168
1568 5 2 3.4062 40 1 27.656
1569 5 1 83.75 41 2 2.8086
1574 34 2 35.781 44 2 3.1289
1580 6 2 2.375 9 1 34.562
1593 15 1 69.312 36 2 2.9375
1594 13 2 2.832 14 2 2.8281
1597 44 2 2.1523 47 1 58.156
1598 9 1 42.688 37 1 50.406
1606 14 2 3.875 47 2 2.9141
1610 42 2 3.1953 44 2 3.1836
1611 8 2 2.3281 40 2 4.4766
1612 14 2 -35.844 43 1 54.562
1617 5 2 -25.0 15 2 2.7383
1622 5 1 72.938 7 1 42.188
1625 2 2 2.6836 9 1 89.125
1626 35 2 4.0977 36 2 3.8984
1626 35 2 4.0977 41 2 2.8633
1626 36 2 3.8984 41 2 2.8633
1628 6 2 204.5 45 1 57.5
1628 6 2 204.5 47 2 205.25
1628 45 1 57.5 47 2 205.25
1638 8 2 1.5938 15 1 28.516
1642 9 2 8.0312 43 1 3.5625
1650 13 1 9.9062 36 2 46.688
1650 13 1 9.9062 37 2 44.844
1650 36 2 46.688 37 2 44.844
1659 11 2 2.8438 38 1 78.0
1664 13 1 42.094 14 2 13.172
1666 37 2 2.832 45 2 2.6172
1667 2 1 37.844 12 2 9.3906
1672 12 1 34.438 13 1 95.625
1673 35 1 29.047 40 2 -19.688
1677 39 2 12.75 43 1 94.812
1687 8 2 3.4375 40 2 2.9922
1693 6 2 6.875 42 2 2.3438
1695 39 2 4.6641 45 1 52.375
1705 10 1 2.5625 41 1 38.5
1708 34 2 17.375 45 2 1.9453
1712 33 2 4.5195 45 2 3.0312
1734 37 2 3.5273 45 2 32.875
1737 13 2 10.781 38 2 9.0
1751 46 1 39.5 47 2 1.8828
1772 7 2 4.0625 43 2 3.2812
1776 3 1 90.188 9 2 3.875
1786 11 2 -30.656 35 2 60.906
1799 4 1 49.188 45 2 152.88
1804 33 2 1.2539 47 2 -83.0
1810 42 1 56.281 46 1 44.938
1811 8 2 -213.25 40 2 1.6797
1812 36 2 2.8281 40 1 64.0
1816 6 2 -125.0 44 2 34.5
1820 10 2 89.375 41 1 43.156
1824 6 2 2.875 46 2 31.234
1827 3 2 2.9062 45 2 3.5078
1843 15 2 138.25 46 1 54.312
1850 13 1 61.469 45 2 2.8906
1854 11 2 0.65625 13 2 3.0352
1858 9 2 3.7188 14 2 -196.0
1858 9 2 3.7188 41 1 49.094
1858 14 2 -196.0 41 1 49.094
1860 34 1 32.406 36 2 2.5312
1860 34 1 32.406 43 2 2.3984
1860 36 2 2.5312 43 2 2.3984
1869 5 2 2.7812 35 2 3.9258
1878 5 2 237.25 36 2 2.5703
1879 5 1 54.594 34 2 3.6484
1881 7 2 2.3125 35 2 4.582
1885 9 2 3.1562 42 2 3.5938
1893 43 1 145.12 46 2 204.12
1909 5 1 59.219 35 1 49.188
1910 10 2 2.5312 43 2 159.62
1910 10 2 2.5312 44 2 161.88
1910 43 2 159.62 44 2 161.88
1912 33 2 -88.062 42 1 -48.844
1929 5 2 25.016 44 2 19.594
1932 5 1 59.5 8 1 -13.594
1935 7 2 3.5312 47 2 73.312
1938 37 1 -125.31 39 1 38.375
1941 36 2 3.2109 39 2 3.125
1943 7 2 1.875 34 1 55.438
1944 6 1 144.75 33 2 1.4102
1944 6 1 144.75 46 2 2.4219
1944 33 2 1.4102 46 2 2.4219
1956 2 1 35.125 5 1 39.5
1957 8 2 3.4062 12 2 4.1406
1959 40 1 58.5 42 1 31.25
1960 7 1 43.719 11 2 3.75
1970 7 2 26.328 13 2 4.2383
1971 11 1 42.719 14 1 40.969
1985 13 1 65.562 46 1 39.5
1987 3 2 3.1328 35 2 4.0586
1990 5 2 8.25 8 2 3.375
1990 5 2 8.25 15 2 3.707
1990 8 2 3.375 15 2 3.707
2007 2 2 4.0547 35 2 4.2617
2008 10 1 56.25 40 2 2.6133
2008 10 1 56.25 41 2 3.2461
2008 10 1 56.25 45 1 215.88
2008 40 2 2.6133 41 2 3.2461
2008 40 2 2.6133 45 1 215.88
2008 41 2 3.2461 45 1 215.88
2019 7 1 72.5 43 2 2.875
2034 15 2 3.0664 45 2 3.3906
2048 6 2 3.4688 10 1 100.12
2051 5 2 3.9688 15 2 3.1133
2055 11 2 3.5 42 1 54.906
2063 6 2 3.75 12 2 4.4375
2063 6 2 3.75 37 1 68.688
2063 12 2 4.4375 37 1 68.688
2067 14 2 2.5625 36 2 3.4375
2072 35 2 58.219 40 2 146.0
2077 37 2 2.5117 40 2 2.9922
2119 3 2 4.5469 45 2 3.7656
2120 9 2 -234.25 10 1 48.25
2125 5 2 31.25 47 2 32.469
2127 13 1 46.281 36 2 4.1641
2135 7 2 2.3438 8 1 53.219
2136 4 2 -69.062 10 1 50.312
2140 8 2 2.875 9 2 2.7812
2142 11 1 91.5 43 2 -92.812
2153 37 2 167.75 43 1 47.406
2153 37 2 167.75 46 2 21.875
2153 43 1 47.406 46 2 21.875
2157 45 2 27.25 46 1 42.25
2175 4 2 -103.44 9 2 -103.62
2179 14 1 202.75 15 1 76.812
2180 14 2 2.9844 36 1 41.688
2205 10 1 35.812 14 2 2.2812
2205 10 1 35.812 37 2 -122.81
2205 14 2 2.2812 37 2 -122.81
2210 38 2 3.3594 44 2 4.2148
2220 35 1 81.75 46 1 47.875
2226 3 2 103.12 4 2 2.7305
2232 14 1 58.75 34 1 43.688
2233 39 1 48.062 46 2 3.2188
2239 14 2 22.156 34 1 53.469
2255 2 2 -103.25 11 1 49.594
2257 8 2 193.0 37 2 3.1055
2271 38 2 249.12 46 1 59.5
2277 4 2 4.9023 6 2 8.5312
2278 7 2 -182.62 10 2 -184.88
2281 1 1 71.062 6 1 85.25
2282 38 2 3.4219 43 2 2.0859
2290 4 2 -5.1914 41 2 6.9805
2294 38 2 -85.5 39 2 -111.88
2294 38 2 -85.5 43 2 2.375
2294 39 2 -111.88 43 2 2.375
2313 7 1 228.5 40 2 3.0781
2318 12 1 51.562 47 2 3.1484
2325 3 2 3.5312 34 1 59.125
2325 3 2 3.5312 35 1 42.969
2325 34 1 59.125 35 1 42.969
2364 4 2 3.4883 39 2 4.8281
2375 3 1 69.062 11 2 -79.0
2376 12 1 60.062 47 2 141.25
2377 3 2 3.0547 34 2 3.4141
2380 6 2 3.4688 9 2 6.8438
2389 41 2 56.156 42 1 72.25
2390 11 2 -46.906 39 1 67.875
2391 2 2 5.2031 15 2 1.5
2397 39 1 31.359 44 2 -10.656
2405 14 2 2.4062 34 1 38.656
2420 1 2 3.5938 10 2 3.9844
2420 1 2 3.5938 38 2 33.25
2420 1 2 3.5938 42 1 82.5
2420 10 2 3.9844 38 2 33.25
2420 10 2 3.9844 42 1 82.5
2420 38 2 33.25 42 1 82.5
2423 36 2 8.6562 37 1 48.406
2430 6 2 3.3125 46 2 2.5469
2436 37 2 102.88 46 2 3.1406
2452 14 2 -227.62 35 2 2.082
2453 9 2 3.375 36 1 65.0
2456 2 1 64.875 13 1 82.375
2469 33 2 281.25 34 2 3.1562
2470 4 2 2.5586 11 2 3.3125
2470 4 2 2.5586 42 1 36.25
2470 11 2 3.3125 42 1 36.25
2477 34 2 21.844 38 1 -37.938
2480 9 2 3.9062 15 2 5.207
2499 14 2 45.688 45 2 4.4609
2501 7 2 -137.75 34 2 4.0703
2504 4 2 3.4023 42 2 2.5156
2514 38 1 238.25 46 1 43.562
2518 35 2 120.5 37 1 37.594
2519 2 2 10.656 44 2 252.0
2519 2 2 10.656 45 2 252.0
2519 44 2 252.0 45 2 252.0
2541 1 2 -93.25 14 2 2.3438
2541 1 2 -93.25 38 1 -64.5
2541 1 2 -93.25 45 2 -201.12
2541 14 2 2.3438 38 1 -64.5
2541 14 2 2.3438 45 2 -201.12
2541 38 1 -64.5 45 2 -201.12
2550 6 1 -68.875 47 2 3.7109
2560 9 1 104.31 40 2 4.0312
2565 12 2 3.1719 47 2 97.688
2576 5 1 100.12 10 1 59.125
2580 15 2 -103.12 44 2 153.75
2581 13 2 2.5117 44 2 2.6992
2583 33 2 2.3633 45 2 3.0
2583 33 2 2.3633 46 2 2.9922
2583 45 2 3.0 46 2 2.9922
2595 36 1 74.75 47 2 2.8672
2600 4 1 41.344 41 1 39.75
2610 13 2 4.293 39 2 3.9062
2639 6 2 2.6562 38 2 -0.51562
2667 2 1 86.312 4 2 2.8633
2671 4 2 2.8125 42 2 3.6016
2677 36 1 76.875 38 2 3.3984
2686 2 1 46.562 9 2 2.9062
2690 34 2 -139.0 37 2 -141.88
2700 46 2 -70.5 47 1 62.344
2702 8 2 31.703 14 1 69.625
2718 4 2 4.1523 35 2 2.9883
2719 2 1 42.0 13 2 3.3633
2722 37 2 17.219 39 1 62.438
2726 36 2 197.25 44 2 11.594
2743 10 2 2.2188 45 1 130.88
2745 44 2 202.12 46 2 199.75
2756 14 2 119.12 47 1 49.25
2759 6 2 5.5938 7 1 4.5312
2759 6 2 5.5938 8 1 28.562
2759 7 1 4.5312 8 1 28.562
2762 35 2 3.2383 46 2 3.7891
2765 5 2 3.25 40 2 3.1172
2800 3 1 44.156 45 2 77.938
2808 9 1 41.938 46 2 149.25
2810 2 2 3.043 35 1 43.312
2814 3 2 8.4922 36 1 48.969
2814 3 2 8.4922 42 2 2.9141
2814 36 1 48.969 42 2 2.9141
2824 4 2 1.9844 47 2 3.4688
2829 10 2 4.875 37 2 -122.31
2831 15 2 2.6367 46 2 2.0625
2832 34 2 2.9609 41 2 3.5117
2837 34 2 -1.5078 36 2 5.1797
2842 3 1 70.562 42 1 11.141
2843 11 2 -81.125 35 2 84.5
2844 12 2 1.8984 38 2 2.3438
2858 12 1 157.38 44 1 34.969
2867 3 1 -205.62 14 2 4.3438
2869 9 2 -220.5 12 2 1.8438
2872 34 1 210.88 47 1 28.656
2876 3 2 3.2109 8 1 -140.75
2876 3 2 3.2109 9 1 155.75
2876 8 1 -140.75 9 1 155.75
2881 1 2 3.6406 15 2 3.4961
2885 1 1 77.688 5 2 7.75
2889 3 2 -111.31 46 2 2.8594
2892 33 2 2.6055 35 1 181.25
2893 3 2 1.6797 6 2 0.625
2893 3 2 1.6797 47 2 2.2734
2893 6 2 0.625 47 2 2.2734
2902 6 1 51.562 9 2 3.4688
2905 5 2 7.4375 7 2 7.5625
2906 34 1 66.688 37 2 3.168
2918 12 1 41.375 37 2 5.8867
2920 33 2 2.332 42 2 3.3906
2936 12 2 39.688 36 1 47.531
2936 12 2 39.688 45 1 33.688
2936 36 1 47.531 45 1 33.688
2948 9 1 43.219 10 2 3.7188
2952 35 1 46.469 43 1 54.875
2954 12 2 3.4219 14 2 2.7031
2967 9 1 40.062 41 1 40.719
2969 34 2 10.727 42 1 158.38
2969 34 2 10.727 47 2 161.12
2969 42 1 158.38 47 2 161.12
2970 44 2 -207.0 47 2 -217.12
2979 4 2 6.1055 41 1 133.75
2989 5 2 3.5625 39 1 29.516
2990 5 1 47.469 7 2 3.0
2990 5 1 47.469 15 2 3.1445
2990 5 1 47.469 37 1 38.469
2990 7 2 3.0 15 2 3.1445
2990 7 2 3.0 37 1 38.469
2990 15 2 3.1445 37 1 38.469
2991 15 2 -95.75 40 2 3.1797
2998 1 2 -0.64062 10 2 2.7812
2999 2 2 -119.56 3 2 -116.62
3006 8 2 3.9688 46 2 126.81
3007 6 2 8.6875 39 2 2.2656
3017 1 2 19.141 2 2 -234.75
3021 15 2 2.9492 38 2 3.7344
3032 4 1 52.469 36 2 -110.62
3039 2 1 36.125 13 2 4.0352
3041 7 1 93.25 8 1 182.0
3052 7 1 69.0 38 1 57.812
3056 35 1 39.438 39 2 3.3438
3061 41 2 3.293 43 1 32.75
3068 41 2 -115.94 43 1 -13.312
3079 3 2 7.6484 13 2 239.38
3079 3 2 7.6484 37 2 238.88
3079 13 2 239.38 37 2 238.88
3081 15 1 64.562 43 2 138.62
3103 8 2 4.4219 37 2 8.875
3112 15 2 2.9883 34 2 2.1875
3113 6 1 65.875 42 1 62.219
3119 35 2 -6.1445 37 2 -5.2461
3123 3 2 2.5547 14 2 9.25
3124 10 2 4.4844 47 2 3.3516
3140 4 1 43.531 35 2 3.3086
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4620 34 2 2.3359 42 2 143.0
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5225 30 2 57.875 46 1 171.62
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9513 13 1 32.438 29 1 97.75
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9543 13 2 -67.0 44 2 5.7695
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9562 11 2 184.12 18 2 9.4062
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10095 24 1 57.406 45 1 48.625
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13069 5 2 269.75 10 2 241.0
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14839 30 1 56.312 39 2 123.0
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14848 12 1 78.0 41 2 2.332
14848 14 2 2.1875 41 2 2.332
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14917 28 2 163.62 47 2 160.25
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14932 8 1 25.641 26 2 2.7188
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14943 8 2 2.75 13 2 2.6289
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14948 19 1 198.75 37 1 39.188
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15028 5 1 326.5 35 1 68.688
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15310 26 2 4.375 37 1 3.7617
15313 15 2 2.8945 23 1 204.88
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15319 37 2 3.918 43 2 55.062
15320 12 2 2.875 15 2 3.8633
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18181 28 2 3.375 37 1 87.5
18186 4 2 -136.38 13 2 -138.0
18192 19 2 2.3125 45 1 42.531
18193 19 2 11.188 41 2 60.344
18193 19 2 11.188 43 2 -77.625
18193 41 2 60.344 43 2 -77.625
18195 7 2 2.8438 29 2 2.6797
18199 27 2 3.3125 45 2 6.3203
18213 3 2 3.5312 4 2 4.5508
18218 37 2 2.6055 41 2 2.1211
18224 18 2 2.5625 43 2 1.6562
18228 6 2 3.5625 19 1 181.0
18229 41 2 -125.38 45 1 74.438
18236 13 2 4.0117 38 2 3.9922
18239 10 2 3.1406 39 2 3.2031
18245 7 2 3.0625 26 1 126.06
18250 2 2 4.0 21 2 -108.25
18250 2 2 4.0 36 2 -110.75
18250 2 2 4.0 42 2 -109.12
18250 21 2 -108.25 36 2 -110.75
18250 21 2 -108.25 42 2 -109.12
18250 36 2 -110.75 42 2 -109.12
18256 9 2 3.3438 12 2 54.656
18256 9 2 3.3438 39 1 47.188
18256 12 2 54.656 39 1 47.188
18257 3 2 238.12 42 2 4.7812
18259 9 1 53.469 25 2 3.0547
18275 19 1 54.062 35 2 2.9805
18281 18 2 -127.0 28 2 -125.75
18287 5 2 4.0625 7 1 51.031
18287 5 2 4.0625 21 1 64.75
18287 5 2 4.0625 28 2 2.0938
18287 7 1 51.031 21 1 64.75
18287 7 1 51.031 28 2 2.0938
18287 21 1 64.75 28 2 2.0938
18296 4 2 5.2852 37 2 1.8867
18297 5 1 98.5 37 2 3.4961
18305 9 2 3.0938 37 2 7.4961
18314 5 1 43.281 9 2 248.88
18318 3 2 80.312 4 2 3.2148
18321 7 2 4.9375 42 2 2.75
18326 15 2 41.625 17 1 45.625
18326 15 2 41.625 27 2 37.625
18326 15 2 41.625 41 2 215.88
18326 17 1 45.625 27 2 37.625
18326 17 1 45.625 41 2 215.88
18326 27 2 37.625 41 2 215.88
18329 20 1 42.438 47 2 3.2969
18331 8 2 307.5 46 2 2.5469
18336 24 2 4.1836 41 2 4.7305
18341 3 2 3.4062 4 1 47.531
18341 3 2 3.4062 29 2 2.7812
18341 4 1 47.531 29 2 2.7812
18342 29 1 51.562 30 2 148.25
18358 39 1 54.75 44 1 36.875
18367 28 2 3.7812 36 1 56.625
18369 22 2 261.5 37 2 261.0
18385 11 2 -17.312 13 2 3.8477
18388 17 2 5.625 31 2 3.9219
18396 12 2 4.3438 14 1 69.75
18396 12 2 4.3438 22 2 3.2344
18396 14 1 69.75 22 2 3.2344
18400 34 2 3.4688 37 2 3.1523
18401 12 2 2.25 29 2 2.8359
18401 12 2 2.25 41 2 -58.812
18401 12 2 2.25 43 1 224.5
18401 29 2 2.8359 41 2 -58.812
18401 29 2 2.8359 43 1 224.5
18401 41 2 -58.812 43 1 224.5
18403 11 2 8.7969 34 1 34.812
18413 5 2 2.9688 40 2 3.3984
18418 33 2 3.5508 47 2 212.12
18423 14 2 2.5625 22 1 44.469
18424 1 1 46.062 9 1 36.969
18428 19 1 50.062 44 2 4.4727
18430 21 1 167.75 27 1 53.5
18450 7 2 4.4688 8 2 2.7344
18451 4 2 3.5117 20 2 3.7188
18454 5 2 2.6875 12 1 37.594
18456 14 2 4.2188 43 2 235.0
18456 14 2 4.2188 44 2 233.75
18456 43 2 235.0 44 2 233.75
18460 40 1 68.375 47 2 3.2656
18464 4 2 40.875 10 2 1.7812
18466 15 1 36.125 26 1 36.375
18469 10 2 12.516 47 2 4.0391
18470 10 1 68.5 34 2 -180.88
18475 10 1 48.75 25 2 3.4141
18475 10 1 48.75 47 1 42.688
18475 25 2 3.4141 47 1 42.688
18476 25 1 27.141 37 2 3.1055
18477 7 2 4.4375 26 1 63.625
18480 2 2 2.1289 46 2 8.4141
18482 25 2 2.6719 41 1 56.75
18485 23 2 2.4492 42 2 121.5
18488 44 2 4.0039 45 2 3.3594
18491 6 2 0.5625 18 2 1.1562
18494 7 2 3.5312 12 2 160.62
18499 5 2 2.6875 26 2 -160.62
18508 7 2 1.6562 24 1 -96.188
18508 7 2 1.6562 25 2 -174.62
18508 24 1 -96.188 25 2 -174.62
18511 6 2 5.625 25 2 3.0156
18513 8 2 3.3438 19 2 2.2812
18514 11 1 83.0 45 1 256.5
18515 10 2 4.75 27 2 3.25
18515 10 2 4.75 44 1 51.375
18515 27 2 3.25 44 1 51.375
18518 28 2 4.25 44 1 68.625
18520 6 1 49.125 46 2 3.8516
18521 34 2 2.6094 47 1 62.094
18522 22 1 78.438 30 2 -44.812
18523 2 2 3.6875 6 2 4.2812
18529 4 2 3.4648 22 2 2.2344
18531 14 2 2.4062 29 1 -43.781
18532 1 1 163.25 9 1 173.38
18532 1 1 163.25 19 2 11.156
18532 1 1 163.25 34 2 3.1641
18532 9 1 173.38 19 2 11.156
18532 9 1 173.38 34 2 3.1641
18532 19 2 11.156 34 2 3.1641
18540 31 1 31.234 36 2 2.7422
18543 10 2 2.9062 40 2 2.6953
18548 40 1 55.75 42 2 3.3359
18552 45 2 3.1328 46 2 2.2422
18553 2 1 159.0 42 2 3.9453
18561 7 1 60.0 27 2 3.2188
18561 7 1 60.0 33 2 3.0664
18561 27 2 3.2188 33 2 3.0664
18570 14 1 53.0 29 2 4.3359
18571 19 1 154.75 29 2 2.9297
18571 19 1 154.75 38 2 3.0547
18571 19 1 154.75 45 1 143.62
18571 29 2 2.9297 38 2 3.0547
18571 29 2 2.9297 45 1 143.62
18571 38 2 3.0547 45 1 143.62
18575 9 2 4.375 23 2 2.7148
18575 9 2 4.375 38 1 47.625
18575 23 2 2.7148 38 1 47.625
18578 36 1 59.375 40 2 2.4336
18580 7 2 3.0312 41 2 2.582
18582 23 1 175.88 28 2 3.625
18587 23 2 11.375 34 2 4.1406
18589 4 2 16.031 10 2 22.062
18589 4 2 16.031 29 2 -85.625
18589 10 2 22.062 29 2 -85.625
18590 24 2 2.7148 26 2 9.5312
18604 10 2 1.3438 38 1 34.938
18609 10 2 160.12 19 2 4.1562
18609 10 2 160.12 27 2 169.25
18609 10 2 160.12 34 2 -96.188
18609 10 2 160.12 44 2 3.8008
18609 19 2 4.1562 27 2 169.25
18609 19 2 4.1562 34 2 -96.188
18609 19 2 4.1562 44 2 3.8008
18609 27 2 169.25 34 2 -96.188
18609 27 2 169.25 44 2 3.8008
18609 34 2 -96.188 44 2 3.8008
18610 2 1 43.094 46 2 2.3984
18612 19 1 36.781 21 1 91.0
18617 3 2 -0.10547 42 2 4.0859
18635 6 1 7.6875 18 2 -48.031
18635 6 1 7.6875 19 2 -47.531
18635 18 2 -48.031 19 2 -47.531
18638 36 2 2.8516 44 1 76.875
18641 13 2 2.9883 19 2 70.375
18642 3 2 3.3438 27 2 171.88
18656 8 2 4.4375 24 2 3.6367
18657 33 2 3.3008 47 1 200.12
18669 2 1 -125.0 9 1 -117.88
18672 17 2 2.7188 18 2 3.125
18673 14 2 148.75 22 2 150.88
18673 14 2 148.75 34 1 25.0
18673 22 2 150.88 34 1 25.0
18680 12 2 3.0938 15 2 3.0039
18692 4 2 3.4023 7 2 2.6875
18692 4 2 3.4023 14 2 -54.781
18692 7 2 2.6875 14 2 -54.781
18695 4 2 2.0586 18 2 3.125
18696 31 1 36.625 42 2 3.9531
18702 3 2 -82.562 39 2 7.6094
18719 7 2 121.75 18 1 28.75
18720 28 2 3.2812 45 2 4.7578
18724 3 1 42.844 30 2 12.234
18724 3 1 42.844 47 2 1.9297
18724 30 2 12.234 47 2 1.9297
18725 18 2 5.625 20 2 3.3906
18728 12 2 11.359 13 2 185.88
18728 12 2 11.359 47 2 12.195
18728 13 2 185.88 47 2 12.195
18732 25 2 1.6406 39 2 -80.375
18734 21 2 79.625 43 2 2.6094
18737 12 2 -59.844 46 2 140.88
18741 33 2 98.5 38 1 49.625
18743 11 2 3.1562 19 2 3.6562
18743 11 2 3.1562 26 2 174.38
18743 11 2 3.1562 27 2 3.6875
18743 19 2 3.6562 26 2 174.38
18743 19 2 3.6562 27 2 3.6875
18743 26 2 174.38 27 2 3.6875
18749 8 1 57.594 41 1 68.125
18752 33 2 3.5508 43 2 4.2344
18756 35 1 50.344 37 2 -212.75
18758 17 2 2.625 31 2 4.1406
18760 38 2 5.5312 47 2 3.1484
18767 18 2 2.8438 26 1 52.562
18768 17 1 45.5 24 1 66.812
18776 45 2 2.5078 47 2 2.1094
18785 8 1 -151.75 9 2 -190.38
18786 24 1 99.375 47 2 2.6562
18807 37 1 203.62 38 1 68.688
18812 7 2 2.9688 37 2 5.3086
18814 18 2 1.75 46 2 2.1094
18815 3 2 -258.0 5 1 58.938
18819 5 1 65.562 45 2 4.8672
18821 36 2 3.5625 38 1 -80.75
18823 14 1 94.438 37 2 176.5
18827 8 2 3.3125 45 2 3.5078
18828 42 2 6.3438 45 2 -240.75
18829 2 2 1.9375 9 2 2.875
18844 2 1 206.12 45 2 2.7109
18855 21 1 4.6719 24 2 2.4961
18855 21 1 4.6719 41 2 2.1133
18855 24 2 2.4961 41 2 2.1133
18858 6 1 1.8125 36 2 2.25
18862 35 2 -190.38 37 1 -138.38
18874 37 2 3.9727 39 1 40.062
18884 29 2 1.75 40 2 5.7031
18885 13 2 -159.75 39 1 47.125
18885 13 2 -159.75 40 1 23.812
18885 39 1 47.125 40 1 23.812
18889 14 2 3.25 20 1 88.125
18891 22 1 61.438 37 1 52.875
18897 5 2 3.0 27 2 3.3125
18900 3 2 149.5 34 2 279.0
18901 10 1 3.1094 25 2 3.1094
18901 10 1 3.1094 26 2 2.7656
18901 25 2 3.1094 26 2 2.7656
18905 22 2 7.0625 41 2 3.2539
18909 6 1 172.12 18 1 165.25
18911 22 1 42.281 43 2 4.3672
18920 2 2 171.75 45 2 2.6797
18921 8 2 4.3281 45 2 2.2109
18921 8 2 4.3281 46 2 3.25
18921 45 2 2.2109 46 2 3.25
18924 12 2 3.9258 38 1 68.5
18925 23 2 -160.5 24 2 -158.75
18926 14 2 -13.875 30 1 23.969
18930 6 2 7.9062 31 1 34.688
18933 8 2 2.3594 41 2 3.5508
18935 7 2 2.8438 9 2 12.031
18944 13 2 3.332 14 2 2.8281
18945 14 2 298.25 30 2 2.7109
18946 39 2 2.6484 44 1 67.312
18946 39 2 2.6484 45 1 46.656
18946 44 1 67.312 45 1 46.656
18951 15 1 37.125 31 2 127.25
18951 15 1 37.125 37 2 125.0
18951 15 1 37.125 46 2 2.9609
18951 31 2 127.25 37 2 125.0
18951 31 2 127.25 46 2 2.9609
18951 37 2 125.0 46 2 2.9609
18953 34 1 45.219 44 2 5.957
18954 13 1 63.281 26 2 -40.562
18954 13 1 63.281 35 2 75.125
18954 26 2 -40.562 35 2 75.125
18955 38 2 3.1797 40 2 205.25
18955 38 2 3.1797 41 2 2.4883
18955 40 2 205.25 41 2 2.4883
18957 11 2 2.4688 31 1 65.25
18958 13 2 2.4492 40 2 2.9141
18962 11 1 46.062 23 1 91.25
18967 28 2 -152.62 30 1 9.75
18979 4 2 2.9336 5 2 2.9688
18979 4 2 2.9336 29 2 11.992
18979 5 2 2.9688 29 2 11.992
18980 8 2 2.9375 24 2 3.9648
18984 7 2 5.4375 9 2 2.75
18986 7 2 161.0 24 2 264.5
18994 2 2 283.5 45 2 281.75
18998 24 1 36.125 46 2 3.1953
19004 15 1 63.812 44 2 3.4648
19005 28 2 5.6875 34 1 82.938
19009 25 2 3.7891 26 1 52.156
19011 6 1 49.406 46 1 3.3828
19014 28 2 -110.5 47 2 4.4609
19016 37 2 3.418 40 2 2.3164
19021 26 2 193.0 45 1 62.875
19023 3 1 10.539 20 2 3.5469
19023 3 1 10.539 34 2 8.0859
19023 3 1 10.539 40 2 266.75
19023 20 2 3.5469 34 2 8.0859
19023 20 2 3.5469 40 2 266.75
19023 34 2 8.0859 40 2 266.75
19024 22 2 4.7656 23 1 77.062
19027 8 2 2.5312 9 2 48.438
19032 38 2 76.438 40 1 62.688
19033 3 1 3.5391 36 2 2.8984
19036 25 1 51.188 39 2 2.9922
19038 15 1 30.078 23 1 267.75
19038 15 1 30.078 34 2 2.6797
19038 23 1 267.75 34 2 2.6797
19040 12 2 3.7188 26 1 66.688
19042 38 2 3.0234 42 2 3.3672
19046 4 1 40.844 24 2 2.4414
19047 7 2 5.75 18 2 2.4375
19054 15 2 3.1836 41 2 6.0195
19063 12 2 3.9961 35 1 51.75
19065 3 1 106.81 9 2 -0.78125
19067 4 2 2.2148 14 2 3.5312
19070 24 1 79.062 37 2 47.688
19071 6 1 86.0 8 2 -162.5
19072 23 2 7.2148 45 1 -101.06
19076 11 1 28.062 39 1 27.953
19083 4 2 -137.12 40 2 2.3047
19087 5 2 3.6875 23 2 2.6211
19087 5 2 3.6875 39 1 108.62
19087 23 2 2.6211 39 1 108.62
19091 11 1 35.719 47 1 50.188
19092 5 2 3.2812 11 2 5.3906
19096 21 1 249.12 24 2 247.62
19099 10 1 47.062 43 2 11.938
19109 26 2 2.9688 29 2 2.4766
19119 3 2 2.1914 44 2 3.832
19124 9 2 6.625 46 2 3.0156
19125 10 1 41.531 19 2 88.75
19129 1 2 284.5 15 2 -0.25781
19134 7 2 3.6562 9 2 2.2812
19140 17 2 97.188 21 2 3.875
19140 17 2 97.188 45 2 89.625
19140 21 2 3.875 45 2 89.625
19141 9 2 84.688 42 1 47.812
19147 6 2 271.0 46 2 267.75
19161 15 2 -12.812 22 1 81.75
19163 6 2 2.9375 23 2 142.25
19164 23 2 4.707 30 1 49.031
19169 17 2 3.25 24 1 49.5
19173 24 1 45.562 35 2 3.9961
19180 5 2 -2.6562 47 2 2.1797
19182 38 1 -136.88 47 1 42.594
19187 27 2 2.5938 31 1 60.688
19189 6 2 2.75 35 2 94.375
19192 20 2 2.3906 31 2 2.3594
19202 10 2 43.094 44 2 3.6133
19204 13 2 12.375 15 1 102.81
19205 6 1 41.312 9 2 3.0
19210 24 1 47.625 36 1 116.5
19212 9 1 3.125 37 1 153.0
19219 26 1 56.188 47 2 -263.25
19227 8 1 57.812 18 2 -163.38
19231 9 2 2.5938 43 1 68.312
19233 21 2 2.9688 43 2 2.2969
19233 21 2 2.9688 45 2 2.5547
19233 43 2 2.2969 45 2 2.5547
19236 15 2 4.9414 21 1 85.312
19236 15 2 4.9414 39 2 62.625
19236 21 1 85.312 39 2 62.625
19239 5 2 2.4375 12 1 33.281
19239 5 2 2.4375 24 2 2.1992
19239 5 2 2.4375 43 2 3.3438
19239 12 1 33.281 24 2 2.1992
19239 12 1 33.281 43 2 3.3438
19239 24 2 2.1992 43 2 3.3438
19243 12 2 7.0156 22 2 208.62
19245 11 2 3.7812 44 2 168.88
19251 25 2 1.9688 44 2 1.0586
19254 9 1 3.3438 31 2 2.8906
19254 9 1 3.3438 35 1 53.094
19254 31 2 2.8906 35 1 53.094
19261 5 1 63.688 18 2 2.875
19261 5 1 63.688 25 1 54.812
19261 18 2 2.875 25 1 54.812
19263 4 2 11.578 21 2 98.625
19263 4 2 11.578 24 1 43.938
19263 21 2 98.625 24 1 43.938
19267 18 2 -168.88 42 2 2.3438
19268 13 2 4.1914 20 2 1.8594
19279 37 2 96.875 41 2 4.1836
19282 7 1 51.938 14 2 91.375
19283 4 2 3.0898 8 2 -238.0
19286 24 1 83.75 38 2 3.5391
19298 19 2 0.21875 28 2 -0.78125
19299 7 2 53.406 15 2 2.8711
19299 7 2 53.406 22 2 277.5
19299 15 2 2.8711 22 2 277.5
19300 43 1 46.844 45 1 42.656
19306 13 2 4.1289 15 2 3.457
19306 13 2 4.1289 20 2 8.5469
19306 15 2 3.457 20 2 8.5469
19324 1 1 17.859 7 1 16.156
19324 1 1 17.859 25 2 -26.516
19324 7 1 16.156 25 2 -26.516
19326 11 2 3.6562 46 2 95.438
19328 8 2 5.5469 29 1 114.94
19330 8 2 15.391 9 1 80.125
19331 5 2 4.3125 19 2 3.8438
19340 17 1 66.938 29 2 83.875
19342 9 2 -1.0625 26 1 44.438
19347 8 1 77.625 15 2 2.7852
19350 5 1 291.75 14 2 3.2344
19356 6 1 61.719 19 2 3.4062
19358 5 2 9.8125 45 1 36.844
19366 2 1 73.25 8 2 2.2656
19368 5 2 6.9375 11 2 3.4688
19368 5 2 6.9375 28 1 97.875
19368 11 2 3.4688 28 1 97.875
19371 24 1 32.688 37 2 228.62
19372 10 1 -33.062 20 2 253.0
19374 4 2 9.2812 24 1 86.188
19375 29 2 2.4219 36 1 77.375
19387 1 2 26.328 2 1 27.453
19396 46 2 1.7656 47 2 4.8438
19401 15 1 -87.75 18 2 3.2812
19404 13 2 3.7227 22 2 3.9688
19404 13 2 3.7227 35 1 36.719
19404 22 2 3.9688 35 1 36.719
19405 5 2 3.2188 29 2 -112.62
19415 4 2 -109.81 15 2 -30.266
19416 11 1 57.438 34 1 3.1094
19425 7 1 54.125 11 1 38.188
19425 7 1 54.125 37 1 50.5
19425 11 1 38.188 37 1 50.5
19429 18 2 56.375 27 2 4.8438
19430 18 2 3.7812 28 2 2.9375
19430 18 2 3.7812 44 1 43.531
19430 28 2 2.9375 44 1 43.531
19444 15 2 2.7383 19 1 36.188
19454 13 2 2.0664 19 2 4.1875
19454 13 2 2.0664 43 1 37.25
19454 19 2 4.1875 43 1 37.25
19465 7 2 10.938 11 2 2.2812
19474 11 2 3.1875 24 2 4.6367
19480 28 2 7.9375 34 1 37.75
19481 7 1 66.875 44 2 -183.25
19486 13 2 3.793 45 1 44.969
19489 31 2 2.9375 43 2 2.2969
19490 6 1 36.781 14 1 54.656
19493 7 2 2.5938 11 2 -184.0
19493 7 2 2.5938 42 2 -186.62
19493 11 2 -184.0 42 2 -186.62
19505 30 2 4.8438 43 2 2.375
19510 18 1 41.906 37 2 3.3945
19521 29 1 132.62 45 2 57.938
19525 7 2 -195.12 25 2 4.3906
19529 27 2 10.812 40 2 3.7891
19531 11 2 6.4844 40 2 3.0391
19533 12 1 182.88 24 1 47.906
19533 12 1 182.88 45 2 3.2969
19533 24 1 47.906 45 2 3.2969
19539 2 2 -106.12 4 2 -107.5
19541 7 2 2.875 19 1 57.469
19543 7 2 -152.75 8 1 -152.25
19543 7 2 -152.75 14 2 3.4688
19543 8 1 -152.25 14 2 3.4688
19546 13 2 184.62 24 2 4.3555
19546 13 2 184.62 31 2 -107.75
19546 24 2 4.3555 31 2 -107.75
19556 19 1 42.25 38 2 4.4453
19561 21 1 59.094 34 1 45.625
19563 17 2 168.5 21 2 168.38
19563 17 2 168.5 34 2 179.12
19563 21 2 168.38 34 2 179.12
19567 22 1 39.25 28 2 3.25
19567 22 1 39.25 44 1 76.562
19567 28 2 3.25 44 1 76.562
19581 19 2 2.9375 40 1 45.406
19581 19 2 2.9375 46 2 2.5156
19581 40 1 45.406 46 2 2.5156
19601 12 2 4.3438 25 2 -260.75
19603 6 2 3.4688 7 1 56.531
19605 19 1 90.75 35 1 78.312
19607 21 2 -175.0 31 1 29.266
19607 21 2 -175.0 37 2 -60.719
19607 31 1 29.266 37 2 -60.719
19613 25 2 3.0234 45 2 2.4844
19619 39 1 43.688 43 2 -74.75
19624 2 2 4.0938 6 2 3.5625
19625 2 2 -197.62 9 1 38.969
19629 5 1 36.125 6 2 4.625
19629 5 1 36.125 43 1 31.219
19629 6 2 4.625 43 1 31.219
19631 6 1 82.75 34 1 27.031
19633 7 1 53.656 18 2 3.9375
19635 2 2 49.031 25 1 47.188
19638 27 2 -229.12 46 1 -28.328
19641 29 1 48.688 36 1 43.031
19643 31 2 3.8359 40 2 2.4062
19645 11 2 1.7812 47 2 2.4609
19647 8 1 57.875 22 2 5.8438
19647 8 1 57.875 23 2 11.094
19647 22 2 5.8438 23 2 11.094
19649 35 1 57.594 47 2 8.3359
19650 25 1 53.0 41 2 206.0
19654 33 1 45.844 45 2 2.1719
19663 11 2 8.9062 12 1 51.0
19663 11 2 8.9062 26 2 4.6094
19663 11 2 8.9062 44 2 3.207
19663 11 2 8.9062 47 1 33.531
19663 12 1 51.0 26 2 4.6094
19663 12 1 51.0 44 2 3.207
19663 12 1 51.0 47 1 33.531
19663 26 2 4.6094 44 2 3.207
19663 26 2 4.6094 47 1 33.531
19663 44 2 3.207 47 1 33.531
19668 25 2 3.2031 38 1 51.125
19669 21 2 5.2656 23 2 2.543
19670 35 1 35.469 41 1 54.25
19672 2 2 67.125 12 2 3.0156
19684 11 1 34.719 36 2 -290.5
19685 22 2 7.8906 46 2 2.8281
19685 22 2 7.8906 47 2 14.023
19685 46 2 2.8281 47 2 14.023
19688 8 1 73.125 45 2 19.469
19700 26 2 284.5 43 2 2.2812
19700 26 2 284.5 45 2 3.125
19700 43 2 2.2812 45 2 3.125
19702 14 2 3.1875 43 2 11.547
19704 9 2 3.4062 26 2 3.9844
19721 27 1 -38.219 33 2 -83.312
19721 27 1 -38.219 46 2 2.7344
19721 33 2 -83.312 46 2 2.7344
19722 27 2 156.25 46 1 62.062
19729 2 1 77.375 28 2 5.5312
19731 2 1 55.969 43 2 -0.73047
19749 15 2 2.8711 18 1 43.406
19766 13 1 10.594 25 2 11.891
19767 13 2 -69.625 18 2 4.8438
19771 6 2 2.3125 40 1 36.375
19772 37 2 3.5352 40 2 3.75
19780 13 1 47.281 27 1 41.375
19780 13 1 47.281 47 2 5.1484
19780 27 1 41.375 47 2 5.1484
19791 22 1 30.656 43 2 3.1641
19792 29 2 2.4375 41 2 4.1055
19793 13 1 -88.0 25 1 83.438
19794 40 2 2.9766 43 1 64.938
19795 9 2 4.5625 26 1 81.875
19798 6 2 9.125 43 1 32.906
19799 9 2 3.8125 23 1 2.5273
19799 9 2 3.8125 43 1 70.625
19799 23 1 2.5273 43 1 70.625
19803 27 1 101.75 43 2 102.06
19805 23 2 2.2461 45 2 2.4922
19807 3 2 -7.707 18 1 47.125
19807 3 2 -7.707 42 1 30.219
19807 3 2 -7.707 43 2 -8.1797
19807 18 1 47.125 42 1 30.219
19807 18 1 47.125 43 2 -8.1797
19807 42 1 30.219 43 2 -8.1797
19810 11 1 31.094 26 2 2.8594
19817 4 2 1.8398 15 2 1.6758
19817 4 2 1.8398 28 2 3.0625
19817 15 2 1.6758 28 2 3.0625
19819 19 2 3.0312 37 2 3.6523
19822 6 2 4.7812 23 1 46.094
19823 2 1 246.5 46 2 2.8672
19827 41 2 -63.406 44 1 -37.781
19829 23 2 2.8477 30 2 1.4688
19832 4 1 59.469 30 1 -240.88
19847 18 2 2.8438 37 2 2.8711
19851 7 1 3.7812 47 2 81.938
19852 18 2 -77.5 29 1 43.688
19861 18 1 44.531 28 2 2.1562
19862 8 2 229.5 14 2 190.62
19864 24 1 33.781 45 1 33.188
19866 23 2 177.38 26 2 2.1719
19869 12 1 69.188 28 2 2.6562
19874 13 2 3.3242 25 1 29.359
19878 38 2 -159.62 46 2 -160.88
19878 38 2 -159.62 47 1 -115.38
19878 46 2 -160.88 47 1 -115.38
19880 11 1 60.25 34 2 219.0
19884 29 1 48.344 44 2 2.6445
19885 6 2 287.25 36 2 2.1406
19890 20 1 101.69 36 2 70.0
19894 15 2 31.422 22 2 160.5
19895 19 1 60.5 28 2 183.38
19900 27 2 1.25 44 2 3.1758
19910 20 1 88.25 45 2 -70.688
19914 7 2 2.9062 25 2 12.984
19919 6 2 5.1562 38 2 4.1719
19923 38 2 3.3203 43 2 3.6953
19923 38 2 3.3203 47 2 2.875
19923 43 2 3.6953 47 2 2.875
19926 1 2 3.5469 9 2 3.1875
19926 1 2 3.5469 28 1 75.625
19926 9 2 3.1875 28 1 75.625
19935 21 1 285.25 27 2 327.0
19935 21 1 285.25 47 2 263.5
19935 27 2 327.0 47 2 263.5
19936 2 2 127.38 39 1 62.25
19939 13 1 72.812 42 1 88.5
19942 26 2 6.1875 30 2 2.2969
19946 24 2 1.8477 25 2 3.4141
19948 25 2 1.9688 46 1 73.5
19951 35 2 3.9414 42 1 6.3125
19960 10 2 3.7344 45 2 115.75
19969 8 2 3.6406 41 2 3.8789
19969 8 2 3.6406 45 2 3.3047
19969 41 2 3.8789 45 2 3.3047
19984 44 2 2.707 45 2 4.8281
19987 23 1 59.781 29 2 -95.125
19988 23 1 57.188 47 2 4.4297
19990 9 2 2.6875 15 1 224.0
19990 9 2 2.6875 43 1 68.125
19990 15 1 224.0 43 1 68.125
19991 30 1 63.0 40 2 2.8047
19992 18 1 43.188 34 2 1.9297
19999 5 1 49.938 15 1 53.281
20000 2 2 239.25 7 1 329.25
20000 2 2 239.25 37 1 35.438
20000 7 1 329.25 37 1 35.438
20001 7 2 8.3438 36 2 3.0938
20003 7 1 26.062 28 2 2.8438
20007 15 2 216.12 18 1 67.312
20010 23 2 3.9648 35 1 45.719
20012 5 2 79.625 44 2 78.562
20013 38 2 149.88 42 2 10.391
20014 10 1 66.125 15 1 110.94
20014 10 1 66.125 47 2 110.06
20014 15 1 110.94 47 2 110.06
20017 1 1 58.5 10 2 3.5781
20019 2 1 44.5 22 2 44.031
20019 2 1 44.5 23 2 11.266
20019 22 2 44.031 23 2 11.266
20023 2 2 4.25 12 2 5.3828
20024 7 2 3.25 21 2 4.1562
20025 9 2 3.5 21 2 37.125
20039 23 2 13.609 27 1 92.562
20042 4 1 49.656 22 2 4.2188
20043 2 2 81.438 5 1 138.5
20043 2 2 81.438 47 1 38.719
20043 5 1 138.5 47 1 38.719
20050 4 2 1.8555 22 2 13.281
20054 15 2 90.375 42 2 4.3594
20064 27 2 3.5312 31 2 5.5156
20073 31 2 9.8594 36 1 37.844
20078 7 2 311.0 14 2 3.1406
20082 40 1 46.188 44 2 126.62
20083 44 2 2.9023 45 2 5.8047
20086 13 1 38.5 18 1 52.062
20092 7 2 4.75 14 1 84.062
20098 7 2 86.562 43 2 3.9688
20101 25 2 32.875 36 2 2.1172
20110 20 2 5.8125 41 2 2.332
20113 12 1 54.438 14 2 2.6875
20125 14 1 43.125 35 2 10.125
20128 8 1 274.0 34 2 238.12
20131 9 1 40.75 11 2 4.0
20131 9 1 40.75 25 2 8.6562
20131 11 2 4.0 25 2 8.6562
20132 30 2 2.7812 39 2 9.9844
20139 13 2 -182.62 28 1 -136.0
20139 13 2 -182.62 36 1 -117.5
20139 28 1 -136.0 36 1 -117.5
20149 5 2 5.875 6 1 52.438
20149 5 2 5.875 30 1 55.812
20149 6 1 52.438 30 1 55.812
20152 6 1 130.12 41 2 4.3789
20153 6 2 46.312 15 2 -12.688
20153 6 2 46.312 20 2 31.172
20153 6 2 46.312 24 2 -14.547
20153 15 2 -12.688 20 2 31.172
20153 15 2 -12.688 24 2 -14.547
20153 20 2 31.172 24 2 -14.547
20154 37 2 1.8555 43 2 111.44
20164 7 2 12.797 26 2 3.9688
20167 9 2 3.7812 19 2 2.5625
20171 5 2 2.2188 13 2 61.969
20172 2 2 3.2305 36 1 49.219
20173 4 2 2.6914 40 2 3.7031
20175 26 2 3.0 27 2 2.5938
20179 15 2 2.3359 23 2 3.7461
20185 14 2 132.88 20 1 115.38
20185 14 2 132.88 30 1 182.62
20185 20 1 115.38 30 1 182.62
20188 2 1 35.719 29 2 2.2344
20191 7 2 2.1562 46 2 2.1406
20197 10 2 280.0 30 1 55.812
20199 14 2 2.0625 27 2 2.8438
20207 11 2 2.625 21 1 50.375
20208 14 2 3.1875 19 2 3.875
20208 14 2 3.1875 47 2 3.5859
20208 19 2 3.875 47 2 3.5859
20209 7 2 -120.25 47 2 -195.38
20226 39 1 40.062 42 1 55.969
20228 12 2 1.3984 24 2 3.8711
20229 17 2 234.38 28 2 4.2812
20230 12 1 -16.016 29 1 87.938
20230 12 1 -16.016 35 2 2.8633
20230 29 1 87.938 35 2 2.8633
20236 21 1 75.688 40 2 5.3125
20240 24 1 -36.562 35 2 -76.75
20245 4 2 5.8867 22 2 3.1719
20248 8 2 2.7344 12 1 76.5
20250 6 2 2.8438 44 2 5.207
20251 4 1 22.922 43 2 2.4922
20252 8 2 5.0938 11 1 56.938
20255 11 2 227.75 25 2 221.0
20255 11 2 227.75 31 2 2.6562
20255 25 2 221.0 31 2 2.6562
20262 6 2 3.2812 15 2 3.9883
20262 6 2 3.2812 35 1 40.75
20262 6 2 3.2812 36 2 64.625
20262 15 2 3.9883 35 1 40.75
20262 15 2 3.9883 36 2 64.625
20262 35 1 40.75 36 2 64.625
20265 3 2 3.5625 43 1 34.688
20268 4 2 8.5938 15 2 1.8945
20268 4 2 8.5938 27 2 2.7812
20268 15 2 1.8945 27 2 2.7812
20271 22 1 61.531 39 2 51.812
20272 20 1 38.719 37 2 14.297
20273 13 2 2.1523 20 2 220.5
20275 9 1 42.469 25 1 62.625
20279 20 2 2.8125 23 1 53.594
20288 24 2 16.469 35 1 147.38
20302 21 2 4.5625 29 2 2.5547
20303 9 2 5.25 27 2 6.2812
20315 10 2 2.7812 27 1 33.469
20328 12 2 3.25 13 2 4.8477
20331 35 1 54.875 41 1 233.0
20340 7 2 4.5625 22 1 224.38
20348 1 2 258.25 4 1 50.469
20348 1 2 258.25 21 1 52.938
20348 4 1 50.469 21 1 52.938
20361 7 1 30.844 23 2 4.9023
20369 4 1 49.438 39 2 18.828
20372 4 2 -186.62 34 2 1.8203
20378 6 2 4.9688 9 1 41.0
20378 6 2 4.9688 24 1 141.75
20378 9 1 41.0 24 1 141.75
20379 7 2 58.125 13 2 4.8945
20382 27 2 2.9062 34 2 -275.25
20383 3 1 70.375 5 2 191.25
20383 3 1 70.375 19 1 35.281
20383 5 2 191.25 19 1 35.281
20386 4 2 230.25 30 1 34.531
20386 4 2 230.25 38 1 266.25
20386 4 2 230.25 47 2 4.9297
20386 30 1 34.531 38 1 266.25
20386 30 1 34.531 47 2 4.9297
20386 38 1 266.25 47 2 4.9297
20394 4 2 2.1211 21 2 5.8125
20397 26 2 3.7656 31 2 -11.0
20418 5 1 26.719 9 2 2.7188
20421 12 2 1.8438 25 2 -272.25
20426 23 1 30.5 40 2 3.2734
20429 20 2 2.6094 27 1 77.438
20432 4 2 2.8008 25 2 292.5
20433 27 2 307.75 38 1 32.312
20434 9 2 2.7812 34 2 5.4141
20435 9 2 2.6562 45 2 3.6016
20442 39 2 15.703 40 2 16.688
20443 17 2 3.0625 29 2 2.8047
20453 27 2 -27.531 34 2 4.6953
20455 22 1 17.703 26 1 81.75
20455 22 1 17.703 34 1 33.75
20455 26 1 81.75 34 1 33.75
20465 18 2 2.5312 19 2 7.0
20467 36 2 3.1016 44 2 12.328
20469 41 2 10.625 46 2 3.2031
20470 37 1 67.688 41 2 2.7461
20475 9 1 12.844 20 2 4.2812
20481 24 2 -3.3027 45 2 2.8281
20485 6 2 2.875 7 2 3.875
20486 17 1 48.969 18 1 84.25
20492 34 2 3.1328 38 2 10.523
20492 34 2 3.1328 45 2 2.6953
20492 38 2 10.523 45 2 2.6953
20493 15 2 16.344 46 1 41.125
20500 7 2 5.8438 23 2 6.2461
20502 11 2 3.2188 18 2 91.0
20502 11 2 3.2188 27 2 96.688
20502 18 2 91.0 27 2 96.688
20504 43 2 80.438 44 1 62.188
20505 7 1 58.125 46 2 205.38
20508 24 2 2.0352 45 2 3.875
20508 24 2 2.0352 46 2 5.2969
20508 45 2 3.875 46 2 5.2969
20512 11 2 2.3438 44 2 4.5508
20523 4 1 36.375 24 2 9.0781
20525 30 2 104.19 33 2 2.3086
20525 30 2 104.19 40 1 91.188
20525 33 2 2.3086 40 1 91.188
20527 7 2 2.875 36 2 4.125
20529 4 1 51.562 23 1 94.25
20531 15 1 251.75 42 2 2.9219
20533 14 1 42.812 30 2 2.8047
20537 14 2 43.188 47 2 3.3984
20540 3 1 95.0 30 1 34.875
20542 11 2 4.2812 37 2 159.5
20542 11 2 4.2812 47 2 161.0
20542 37 2 159.5 47 2 161.0
20543 13 1 160.75 47 2 3.5547
20545 15 1 35.25 44 2 -229.5
20547 15 1 55.25 25 2 199.25
20549 23 1 47.094 38 2 3.2031
20553 26 2 3.8125 30 2 44.375
20574 29 2 2.8047 34 2 -138.5
20577 7 2 2.8125 29 2 201.5
20580 1 2 32.562 11 2 2.5625
20581 3 2 6.3359 30 2 3.375
20583 5 2 4.4062 22 2 3.6406
20584 20 1 50.625 35 2 3.3945
20584 20 1 50.625 39 2 -108.25
20584 35 2 3.3945 39 2 -108.25
20585 10 1 58.188 14 1 252.25
20586 14 2 134.5 20 2 3.9844
20586 14 2 134.5 38 2 132.88
20586 20 2 3.9844 38 2 132.88
20588 36 2 3.2578 40 2 2.6484
20592 6 1 70.188 47 1 48.531
20601 5 2 2.125 23 2 3.2148
20603 38 2 2.332 46 2 3.6562
20605 9 2 5.375 18 2 5.4375
20605 9 2 5.375 30 2 5.5312
20605 18 2 5.4375 30 2 5.5312
20607 21 2 3.0625 43 1 44.375
20610 24 2 2.793 28 2 3.0
20611 10 2 2.3125 36 2 3.1562
20612 6 2 2.7188 19 2 4.125
20613 17 2 3.5312 28 1 43.344
20625 3 1 72.625 27 2 2.375
20625 3 1 72.625 46 2 110.56
20625 27 2 2.375 46 2 110.56
20626 3 1 2.7422 4 2 -65.188
20627 4 1 253.62 37 1 4.293
20633 18 2 5.2812 26 2 7.1719
20633 18 2 5.2812 41 2 1.8633
20633 18 2 5.2812 42 2 5.0625
20633 26 2 7.1719 41 2 1.8633
20633 26 2 7.1719 42 2 5.0625
20633 41 2 1.8633 42 2 5.0625
20641 3 2 134.5 26 1 82.875
20641 3 2 134.5 34 2 135.62
20641 3 2 134.5 46 2 3.5547
20641 26 1 82.875 34 2 135.62
20641 26 1 82.875 46 2 3.5547
20641 34 2 135.62 46 2 3.5547
20642 17 1 37.281 30 2 2.4375
20643 21 1 41.938 43 2 2.5703
20645 7 2 3.0 13 2 1.7539
20654 18 2 3.0625 38 2 3.3281
20658 9 2 227.38 19 2 229.0
20660 8 2 3.6562 30 1 71.312
20660 8 2 3.6562 44 2 2.2695
20660 30 1 71.312 44 2 2.2695
20664 9 2 4.2812 40 2 3.2109
20665 20 2 -0.09375 31 1 70.688
20667 6 2 3.75 10 2 2.9375
20671 18 1 29.25 21 1 51.594
20677 5 1 45.625 29 1 34.406
20680 18 2 -88.125 19 2 3.4062
20680 18 2 -88.125 26 1 45.312
20680 19 2 3.4062 26 1 45.312
20681 12 2 12.711 23 2 8.7656
20683 36 1 74.188 46 1 27.609
20687 28 2 90.688 42 2 2.9297
20698 4 2 2.5508 24 2 2.8242
20698 4 2 2.5508 34 1 33.875
20698 24 2 2.8242 34 1 33.875
20701 5 2 127.94 28 2 3.1562
20714 18 2 3.25 25 2 47.312
20715 2 1 87.875 4 1 81.188
20722 22 1 39.75 41 2 4.1602
20723 13 1 87.062 17 1 60.312
20723 13 1 87.062 21 1 2.4062
20723 17 1 60.312 21 1 2.4062
20727 31 2 3.6094 43 1 163.88
20728 14 2 2.1562 36 2 4.0938
20729 4 2 2.4609 27 2 124.5
20737 22 2 2.625 28 2 3.0625
20739 3 1 63.656 20 2 3.7031
20740 7 2 173.38 24 1 36.375
20743 6 2 13.234 36 2 3.0156
20751 11 2 3.875 19 2 4.0312
20751 11 2 3.875 30 2 3.4062
20751 19 2 4.0312 30 2 3.4062
20754 40 2 43.625 44 2 5.332
20756 13 2 4.4805 45 2 3.3125
20761 31 2 11.844 35 2 4.1914
20765 8 2 2.7656 47 2 3.6172
20768 5 2 2.9375 37 2 -178.0
20769 37 1 56.906 38 2 166.62
20773 13 2 7.082 19 2 297.25
20774 19 2 7.6875 21 2 4.0938
20775 14 1 39.5 22 2 3.75
20775 14 1 39.5 39 2 5.0625
20775 22 2 3.75 39 2 5.0625
20776 12 2 2.5391 45 2 10.227
20780 40 2 2.8125 45 2 2.7109
20785 40 1 9.1641 44 2 3.168
20792 10 1 39.094 19 2 55.719
20794 17 2 3.375 30 2 2.125
20794 17 2 3.375 40 1 49.656
20794 30 2 2.125 40 1 49.656
20796 29 1 111.44 42 1 48.844
20800 21 2 -135.12 38 2 5.5156
20804 42 1 46.344 45 1 44.031
20809 8 2 4.2344 22 2 4.0781
20810 36 1 55.125 41 2 4.0742
20812 4 1 46.312 13 2 2.4727
20812 4 1 46.312 26 2 3.25
20812 13 2 2.4727 26 2 3.25
20819 26 2 3.75 35 2 3.707
20819 26 2 3.75 46 1 31.547
20819 35 2 3.707 46 1 31.547
20823 43 2 2.4688 45 2 -67.75
20824 10 1 58.688 31 2 5.4375
20833 27 2 6.6875 40 1 50.438
20839 19 1 72.5 22 2 180.25
20843 6 2 4.5 10 2 2.4375
20844 19 2 4.6562 31 2 -293.0
20848 20 1 99.875 21 2 3.0312
20850 13 2 2.1367 37 1 119.75
20850 13 2 2.1367 41 2 146.88
20850 13 2 2.1367 45 2 59.312
20850 37 1 119.75 41 2 146.88
20850 37 1 119.75 45 2 59.312
20850 41 2 146.88 45 2 59.312
20858 22 1 59.375 29 1 76.25
20860 20 1 42.094 40 1 9.1328
20870 15 2 5.3633 47 2 153.0
20872 13 2 3.5273 42 2 3.0391
20876 11 2 3.2188 35 1 38.594
20877 5 1 37.125 18 2 24.188
20882 3 2 2.2734 39 2 -102.81
20883 12 1 53.688 30 1 68.688
20885 26 2 3.4062 43 2 -1.2031
20886 8 2 -89.25 26 2 194.88
20886 8 2 -89.25 27 2 2.7188
20886 26 2 194.88 27 2 2.7188
20900 19 2 2.1875 46 1 47.375
20908 21 2 3.6094 43 2 4.7344
20909 21 2 73.25 36 2 2.7969
20911 18 2 2.7812 28 2 2.9688
20911 18 2 2.7812 42 2 -219.62
20911 28 2 2.9688 42 2 -219.62
20918 28 2 -25.219 42 2 41.156
20925 13 2 77.125 19 1 153.88
20925 13 2 77.125 23 2 2.6758
20925 19 1 153.88 23 2 2.6758
20937 5 2 -42.5 39 2 -42.188
20937 5 2 -42.5 40 2 -41.281
20937 5 2 -42.5 47 2 3.2109
20937 39 2 -42.188 40 2 -41.281
20937 39 2 -42.188 47 2 3.2109
20937 40 2 -41.281 47 2 3.2109
20939 4 1 -153.62 30 2 -218.62
20941 4 2 -39.75 21 1 34.094
20941 4 2 -39.75 47 1 37.094
20941 21 1 34.094 47 1 37.094
20944 10 2 4.3594 38 2 -11.406
20945 13 2 3.5977 41 2 -161.38
20947 5 1 41.906 39 2 92.5
20948 7 2 3.25 36 1 50.938
20953 33 2 8.0781 41 2 3.3398
20954 9 2 2.5 10 2 96.625
20961 19 2 2.0312 47 2 2.1797
20972 5 2 3.2812 14 2 200.62
20982 3 1 158.88 44 2 3.8477
20988 11 2 186.62 37 1 90.188
20988 11 2 186.62 44 1 42.281
20988 37 1 90.188 44 1 42.281
21000 34 2 2.4531 35 2 2.9102
21008 29 2 52.375 47 1 47.812
21015 15 2 2.6836 36 2 3.4609
21016 18 2 4.0625 38 2 2.1406
21020 15 2 3.3555 29 1 69.25
21022 9 1 4.2188 10 2 3.4844
21022 9 1 4.2188 29 2 -51.938
21022 10 2 3.4844 29 2 -51.938
21023 26 2 7.4844 28 2 4.2188
21024 14 2 3.9688 28 1 63.438
21032 2 2 -289.0 41 1 -266.5
21034 8 2 1.875 33 1 108.06
21034 8 2 1.875 35 2 2.7695
21034 33 1 108.06 35 2 2.7695
21046 6 2 3.6875 34 2 3.6953
21052 22 1 38.031 24 2 2.5312
21052 22 1 38.031 35 1 75.312
21052 24 2 2.5312 35 1 75.312
21054 3 1 73.938 29 2 5.7891
21055 8 1 155.75 26 2 329.5
21055 8 1 155.75 36 1 57.25
21055 26 2 329.5 36 1 57.25
21056 20 2 19.188 26 1 114.88
21056 20 2 19.188 42 1 41.625
21056 26 1 114.88 42 1 41.625
21057 6 1 34.75 46 2 2.9219
21058 7 2 3.875 19 2 6.75
21066 6 2 4.1562 45 1 52.594
21069 14 2 2.4688 40 2 97.062
21079 41 2 -9.2734 46 1 64.25
21084 9 2 18.656 25 2 6.0312
21087 34 2 2.9609 42 2 2.7812
21091 8 2 3.9375 35 2 -187.62
21092 26 2 2.8594 40 1 52.812
21093 2 2 3.3867 40 2 89.0
21095 18 2 4.0938 23 2 -136.62
21101 40 2 33.75 46 1 44.688
21105 18 1 2.0312 39 2 2.9531
21107 20 1 78.312 40 2 3.5234
21107 20 1 78.312 47 2 3.0469
21107 40 2 3.5234 47 2 3.0469
21108 3 2 64.75 7 2 2.7188
21113 20 2 2.3281 38 1 2.7812
21115 3 1 45.219 21 1 237.62
21119 15 2 2.3633 23 2 -39.188
21122 1 1 83.875 7 1 58.688
21122 1 1 83.875 39 1 75.0
21122 7 1 58.688 39 1 75.0
21123 18 2 -40.844 35 2 11.078
21123 18 2 -40.844 46 2 -46.375
21123 35 2 11.078 46 2 -46.375
21129 18 2 2.5625 27 1 50.438
21132 5 1 -158.0 10 1 19.125
21133 3 1 74.188 12 1 46.562
21136 14 1 77.75 34 1 59.562
21138 29 2 2.8281 37 2 1.9414
21139 18 2 13.484 42 1 37.469
21150 2 2 6.5938 6 2 2.4688
21155 11 2 2.7188 12 2 51.344
21155 11 2 2.7188 13 2 4.6289
21155 12 2 51.344 13 2 4.6289
21159 13 2 4.1992 25 1 67.938
21166 5 2 4.25 10 2 37.062
21166 5 2 4.25 21 2 30.688
21166 5 2 4.25 38 2 3.5469
21166 10 2 37.062 21 2 30.688
21166 10 2 37.062 38 2 3.5469
21166 21 2 30.688 38 2 3.5469
21168 33 2 5.8477 38 1 40.562
21168 33 2 5.8477 45 2 5.9062
21168 33 2 5.8477 46 2 2.0625
21168 38 1 40.562 45 2 5.9062
21168 38 1 40.562 46 2 2.0625
21168 45 2 5.9062 46 2 2.0625
21174 29 2 2.6328 41 2 2.8633
21180 36 2 -223.88 43 1 -161.25
21188 18 2 5.3438 20 1 67.625
21193 3 2 153.88 21 2 2.9375
21194 8 2 4.8125 9 2 10.969
21199 13 1 56.75 23 2 3.6992
21205 11 1 82.812 43 1 38.938
21210 19 2 3.0625 26 2 3.8906
21210 19 2 3.0625 43 2 2.75
21210 26 2 3.8906 43 2 2.75
21213 29 1 2.6797 41 2 -200.62
21221 10 2 2.9375 42 1 39.594
21221 10 2 2.9375 46 1 -81.125
21221 42 1 39.594 46 1 -81.125
21222 20 1 68.875 29 1 55.5
21233 20 2 1.7812 27 2 3.2188
21233 20 2 1.7812 41 1 53.969
21233 20 2 1.7812 44 2 3.832
21233 27 2 3.2188 41 1 53.969
21233 27 2 3.2188 44 2 3.832
21233 41 1 53.969 44 2 3.832
21234 20 1 2.8438 27 1 42.406
21237 24 2 166.88 38 2 3.5156
21245 14 1 56.438 46 2 4.1484
21256 15 2 3.1914 44 2 3.457
21261 4 2 3.0898 39 2 2.2344
21267 14 1 55.0 18 1 61.031
21267 14 1 55.0 41 2 3.1445
21267 18 1 61.031 41 2 3.1445
21272 38 2 89.688 42 1 34.844
21272 38 2 89.688 43 2 75.438
21272 42 1 34.844 43 2 75.438
21273 6 1 85.438 41 2 95.438
21276 27 2 64.25 29 2 52.875
21280 30 1 38.312 35 2 268.75
21286 13 2 2.2695 14 2 5.1406
21289 7 2 5.6562 46 2 2.2031
21289 7 2 5.6562 47 2 2.1484
21289 46 2 2.2031 47 2 2.1484
21293 9 1 9.1562 36 2 1.4688
21301 14 1 309.5 28 1 71.438
21302 41 2 2.8789 45 2 5.5469
21303 25 2 3.9453 29 1 74.438
21320 9 1 74.75 19 2 2.1875
21326 18 1 41.312 35 2 27.359
21327 7 2 172.62 38 2 171.88
21338 21 2 2.6719 46 2 119.19
21339 27 1 70.375 44 1 55.531
21340 23 2 2.9102 34 1 44.594
21340 23 2 2.9102 42 1 37.656
21340 34 1 44.594 42 1 37.656
21343 4 2 2.8398 31 2 3.0
21343 4 2 2.8398 41 2 265.5
21343 4 2 2.8398 45 2 267.0
21343 31 2 3.0 41 2 265.5
21343 31 2 3.0 45 2 267.0
21343 41 2 265.5 45 2 267.0
21345 23 1 44.75 41 2 2.1602
21351 24 1 63.594 47 1 6.0156
21359 1 2 2.6719 11 2 2.9375
21359 1 2 2.6719 40 2 2.1797
21359 11 2 2.9375 40 2 2.1797
21372 9 1 176.5 23 2 3.5664
21374 5 1 78.625 30 2 9.125
21374 5 1 78.625 36 2 4.1562
21374 30 2 9.125 36 2 4.1562
21382 10 1 230.88 38 1 84.125
21389 30 1 42.188 34 2 2.2109
21395 35 1 54.156 42 1 2.9062
21395 35 1 54.156 43 2 3.5312
21395 42 1 2.9062 43 2 3.5312
21396 9 2 -230.25 19 2 -227.0
21398 1 2 49.188 3 2 7.3359
21398 1 2 49.188 35 2 238.62
21398 3 2 7.3359 35 2 238.62
21401 6 2 192.5 44 2 2.5977
21403 8 2 3.2969 20 1 57.375
21408 15 1 72.562 37 2 14.797
21408 15 1 72.562 42 2 2.7344
21408 37 2 14.797 42 2 2.7344
21410 6 2 -48.75 19 2 -47.406
21410 6 2 -48.75 28 1 91.5
21410 19 2 -47.406 28 1 91.5
21422 3 2 3.2109 19 2 2.875
21423 17 2 128.12 21 2 130.88
21423 17 2 128.12 29 1 159.12
21423 21 2 130.88 29 1 159.12
21428 12 1 61.594 14 2 3.2188
21429 30 1 48.062 44 2 0.050781
21439 7 2 3.4688 33 2 7.5664
21439 7 2 3.4688 44 2 -229.75
21439 33 2 7.5664 44 2 -229.75
21443 17 2 3.4688 26 1 180.0
21443 17 2 3.4688 31 1 65.75
21443 26 1 180.0 31 1 65.75
21446 14 2 -2.25 31 2 -2.6406
21449 5 2 13.125 28 2 3.0938
21454 6 2 4.4062 40 2 3.4297
21458 15 2 2.9648 38 1 100.44
21463 20 1 63.875 40 2 18.156
21465 24 1 41.25 35 2 3.418
21469 15 2 2.9883 37 2 2.8945
21472 30 1 49.344 39 1 97.0
21480 5 2 2.8125 26 2 281.0
21480 5 2 2.8125 44 2 3.457
21480 26 2 281.0 44 2 3.457
21484 33 2 2.4727 45 2 5.8047
21486 28 2 258.75 44 2 3.8945
21490 4 1 38.594 12 2 3.9375
21490 4 1 38.594 26 2 2.2656
21490 12 2 3.9375 26 2 2.2656
21494 27 1 56.25 38 1 59.25
21495 6 2 118.69 7 2 118.38
21502 7 1 70.75 14 2 4.1094
21505 13 2 135.25 45 1 54.438
21506 18 2 2.5 20 2 -1.1562
21508 25 1 46.375 43 2 2.625
21508 25 1 46.375 44 2 2.8789
21508 43 2 2.625 44 2 2.8789
21509 2 1 51.719 28 2 2.7812
21510 5 1 46.094 18 2 3.0625
21511 4 2 3.4102 34 2 4.7891
21512 12 2 3.2812 24 1 47.906
21514 11 1 58.0 30 2 5.5469
21523 7 1 28.969 26 1 68.188
21526 30 2 67.875 38 1 68.562
21534 17 2 13.125 19 2 3.8125
21536 36 2 2.6406 38 2 3.0156
21538 6 2 10.594 22 2 2.5312
21540 9 2 -57.219 41 2 3.832
21541 2 2 2.5156 8 1 55.562
21548 14 1 2.0625 42 1 57.531
21549 27 1 78.75 28 2 2.3438
21549 27 1 78.75 36 1 54.781
21549 27 1 78.75 41 2 229.38
21549 28 2 2.3438 36 1 54.781
21549 28 2 2.3438 41 2 229.38
21549 36 1 54.781 41 2 229.38
21560 1 2 2.7969 40 2 2.7188
21565 1 2 23.219 4 2 2.2695
21565 1 2 23.219 41 2 3.0664
21565 4 2 2.2695 41 2 3.0664
21567 27 1 60.0 41 2 46.125
21568 24 2 3.3242 28 2 18.844
21568 24 2 3.3242 45 1 17.969
21568 28 2 18.844 45 1 17.969
21569 23 2 5.0977 34 2 14.492
21577 18 2 -67.5 20 2 -71.125
21581 12 2 3.2969 20 2 3.8281
21582 11 1 42.656 24 1 67.312
21587 46 2 4.7734 47 2 5.8594
21600 19 1 58.188 25 2 4.5547
21600 19 1 58.188 43 1 55.312
21600 25 2 4.5547 43 1 55.312
21602 9 2 2.9062 14 2 1.2188
21609 21 1 49.188 47 2 56.656
21610 7 2 39.75 34 2 2.5078
21610 7 2 39.75 35 2 3.0742
21610 34 2 2.5078 35 2 3.0742
21613 1 2 4.1094 12 2 2.5312
21613 1 2 4.1094 41 2 3.3242
21613 12 2 2.5312 41 2 3.3242
21615 37 1 -2.3867 43 2 9.9844
21616 2 2 3.2148 43 2 2.5391
21618 33 2 4.5117 34 2 3.5
21619 10 1 75.375 35 2 5.1602
21620 3 2 2.7656 4 2 3.582
21621 5 2 2.625 42 1 45.875
21627 22 2 2.8281 30 2 3.7969
21627 22 2 2.8281 37 2 7.5273
21627 30 2 3.7969 37 2 7.5273
21629 35 1 64.312 41 2 3.8945
21635 14 1 69.5 47 2 3.4219
21648 3 2 100.19 9 2 119.25
21650 17 2 193.0 23 2 -120.31
21654 5 2 203.25 13 2 2.9961
21658 4 1 175.25 6 1 42.938
21661 11 2 -130.25 26 2 66.938
21664 38 2 2.875 44 2 55.438
21668 36 2 -264.0 44 2 7.3633
21672 5 2 3.875 19 2 4.0938
21672 5 2 3.875 27 2 263.0
21672 19 2 4.0938 27 2 263.0
21682 12 2 6.0781 28 2 6.25
21689 30 2 2.5625 42 1 57.281
21690 23 2 3.293 31 1 271.25
21690 23 2 3.293 46 2 4.4453
21690 31 1 271.25 46 2 4.4453
21698 7 2 2.7812 12 1 231.38
21702 29 2 2.7891 30 2 2.6328
21703 7 1 36.906 47 2 2.6328
21704 23 1 55.312 35 2 25.0
21712 15 2 -245.88 29 1 46.938
21713 6 2 5.375 42 2 4.0312
21714 4 2 3.6836 11 2 3.7188
21714 4 2 3.6836 35 2 3.1758
21714 4 2 3.6836 46 2 4.5156
21714 11 2 3.7188 35 2 3.1758
21714 11 2 3.7188 46 2 4.5156
21714 35 2 3.1758 46 2 4.5156
21715 8 2 -237.5 26 2 3.1719
21719 5 1 53.031 18 2 2.8438
21720 18 1 35.938 20 2 2.75
21720 18 1 35.938 43 2 3.5781
21720 20 2 2.75 43 2 3.5781
21722 3 2 3.5078 46 2 106.19
21727 5 2 -64.688 6 1 33.625
21727 5 2 -64.688 35 2 -197.88
21727 6 1 33.625 35 2 -197.88
21734 13 1 80.938 15 2 35.875
21734 13 1 80.938 24 2 13.328
21734 13 1 80.938 41 1 88.812
21734 15 2 35.875 24 2 13.328
21734 15 2 35.875 41 1 88.812
21734 24 2 13.328 41 1 88.812
21740 15 2 3.3008 28 2 -81.5
21746 26 2 130.88 29 1 85.875
21750 4 2 2.8555 37 2 2.6523
21751 11 1 249.0 38 2 218.5
21755 8 2 4.3438 25 1 43.375
21755 8 2 4.3438 44 2 2.832
21755 25 1 43.375 44 2 2.832
21756 13 1 64.375 14 1 36.875
21762 39 2 199.88 46 1 254.88
21768 17 2 249.62 28 2 11.438
21770 23 2 13.312 44 2 2.168
21773 31 1 51.875 34 2 2.2891
21790 6 1 231.0 7 1 72.125
21791 29 1 54.125 36 2 1.5078
21793 1 1 56.625 14 1 52.688
21794 25 2 2.6094 27 1 59.812
21804 34 2 -124.88 35 2 2.7695
21808 6 2 4.1562 45 1 122.25
21828 22 2 -67.5 29 2 10.742
21843 2 2 3.125 43 1 44.656
21845 14 2 291.0 18 2 295.0
21845 14 2 291.0 19 1 295.0
21845 14 2 291.0 29 2 -0.39844
21845 18 2 295.0 19 1 295.0
21845 18 2 295.0 29 2 -0.39844
21845 19 1 295.0 29 2 -0.39844
21848 23 2 7.8711 27 2 7.25
21849 1 2 4.2188 2 1 71.562
21850 11 2 6.5469 41 2 3.1445
21852 3 2 212.62 14 2 3.1094
21863 14 1 57.562 39 2 98.562
21864 43 1 59.062 46 2 242.62
21873 5 1 70.125 10 1 45.75
21875 27 1 47.5 39 2 74.312
21875 27 1 47.5 47 2 3.3047
21875 39 2 74.312 47 2 3.3047
21877 2 1 35.938 6 2 3.6875
21877 2 1 35.938 20 2 248.38
21877 2 1 35.938 36 1 59.125
21877 2 1 35.938 37 1 43.344
21877 6 2 3.6875 20 2 248.38
21877 6 2 3.6875 36 1 59.125
21877 6 2 3.6875 37 1 43.344
21877 20 2 248.38 36 1 59.125
21877 20 2 248.38 37 1 43.344
21877 36 1 59.125 37 1 43.344
21879 22 2 3.9219 38 1 87.812
21885 19 1 41.25 27 2 2.375
21886 11 2 4.2188 41 2 -139.12
21888 26 2 3.5781 39 1 58.812
21898 31 1 56.688 45 2 4.2578
21899 33 1 44.594 37 2 3.5977
21906 4 2 4.0273 19 2 7.8438
21914 11 2 297.75 40 1 24.469
21915 30 1 1.6172 34 1 166.12
21916 23 2 2.1562 39 2 17.266
21926 37 2 3.1289 40 2 2.9453
21934 36 2 4.6875 43 2 -125.06
21940 11 2 12.328 30 2 80.438
21944 2 2 70.125 41 1 53.312
21947 44 2 3.1523 47 1 35.969
21948 25 2 3.4844 28 2 3.4375
21954 10 2 2.625 36 2 2.625
21956 22 2 -126.12 23 2 -126.88
21957 15 1 240.62 24 1 34.312
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21975 25 2 2.375 28 2 229.25
21980 34 2 -266.75 44 2 -264.25
21982 15 1 -168.75 36 2 9.75
21984 2 1 75.25 37 1 61.656
21990 1 1 41.188 2 1 34.75
21990 1 1 41.188 28 2 2.9688
21990 2 1 34.75 28 2 2.9688
21994 15 2 73.312 22 1 46.812
21994 15 2 73.312 39 2 75.188
21994 22 1 46.812 39 2 75.188
21997 5 2 3.0312 13 2 5.9414
22004 8 2 43.812 19 2 4.0
22004 8 2 43.812 23 2 1.6523
22004 19 2 4.0 23 2 1.6523
22016 28 2 3.0312 44 2 215.38
22018 10 1 97.812 11 1 65.875
22022 3 2 3.2266 26 2 2.9531
22028 6 2 5.625 47 1 93.062
22029 1 1 34.5 2 1 136.25
22034 7 1 117.0 18 2 3.5938
22035 30 2 4.2578 42 2 -0.27734
22037 27 2 3.0938 47 2 3.6797
22042 3 1 45.906 25 2 128.62
22043 2 2 3.3555 12 2 183.5
22047 26 1 58.875 46 2 3.0469
22050 4 2 8.6562 20 1 2.2344
22054 31 1 37.375 42 2 -260.25
22055 7 2 2.375 23 1 76.438
22055 7 2 2.375 38 2 -58.688
22055 23 1 76.438 38 2 -58.688
22056 9 2 2.1875 13 2 4.5352
22061 11 2 2.7188 28 1 35.469
22061 11 2 2.7188 47 2 -295.25
22061 28 1 35.469 47 2 -295.25
22069 6 2 302.25 39 2 3.3359
22074 28 1 26.297 40 1 5.8203
22075 12 2 -85.125 20 2 6.1719
22077 27 2 2.5312 29 2 3.1797
22077 27 2 2.5312 47 2 -249.38
22077 29 2 3.1797 47 2 -249.38
22079 5 1 28.641 36 2 3.5469
22082 6 2 5.0938 8 2 5.75
22088 12 1 47.656 20 1 38.688
22089 10 1 59.562 20 2 205.62
22098 6 1 44.469 23 1 81.438
22101 4 2 1.0664 7 2 199.0
22102 30 2 183.38 37 2 2.6289
22103 5 2 5.1562 28 1 45.688
22104 35 2 3.3398 36 2 3.3984
22104 35 2 3.3398 39 2 3.7891
22104 36 2 3.3984 39 2 3.7891
22108 1 2 2.3281 6 2 9.4062
22108 1 2 2.3281 30 2 4.25
22108 6 2 9.4062 30 2 4.25
22110 4 2 -157.75 20 1 54.625
22110 4 2 -157.75 21 1 43.781
22110 20 1 54.625 21 1 43.781
22114 13 1 43.281 24 2 2.4453
22114 13 1 43.281 31 2 3.6016
22114 24 2 2.4453 31 2 3.6016
22115 7 2 203.0 29 1 55.375
22123 36 2 3.2031 40 1 110.88
22127 18 2 3.5938 34 1 34.469
22131 19 1 58.406 22 2 -182.12
22137 6 2 3.9062 30 2 -0.78125
22146 5 2 2.1562 47 1 86.875
22154 18 1 9.5625 26 1 80.5
22156 35 1 38.938 47 2 2.3672
22159 23 2 4.7773 37 2 3.2695
22160 9 2 5.0938 13 2 2.7227
22160 9 2 5.0938 19 2 4.8125
22160 13 2 2.7227 19 2 4.8125
22161 21 2 109.38 28 2 3.125
22171 26 2 3.4219 44 2 15.906
22202 15 1 52.812 42 1 35.562
22206 34 2 113.19 42 2 114.0
22208 8 1 25.375 23 2 13.375
22208 8 1 25.375 40 2 8.2578
22208 23 2 13.375 40 2 8.2578
22213 2 1 56.531 28 2 5.125
22215 44 1 72.438 46 2 3.7188
22218 5 2 97.875 21 2 4.4375
22219 3 2 2.3125 24 2 -6.7891
22225 34 1 38.438 41 2 3.7227
22228 2 2 3.3867 33 2 233.75
22236 18 2 3.375 47 2 4.4609
22242 34 2 1.6172 42 1 67.625
22244 2 1 55.938 31 1 37.125
22248 36 2 3.5625 37 2 9.5781
22255 25 1 37.625 29 2 -156.0
22256 26 1 53.156 33 2 2.6836
22256 26 1 53.156 40 1 2.0117
22256 26 1 53.156 46 1 50.375
22256 33 2 2.6836 40 1 2.0117
22256 33 2 2.6836 46 1 50.375
22256 40 1 2.0117 46 1 50.375
22259 1 1 67.312 10 2 206.12
22264 5 2 6.6875 28 2 -79.5
22264 5 2 6.6875 41 1 58.469
22264 28 2 -79.5 41 1 58.469
22267 13 1 130.0 15 1 43.75
22267 13 1 130.0 36 2 99.938
22267 15 1 43.75 36 2 99.938
22269 7 1 119.25 35 2 1.9844
22277 6 1 42.5 22 2 3.7812
22277 6 1 42.5 25 2 186.62
22277 22 2 3.7812 25 2 186.62
22283 11 1 218.25 22 1 241.0
22283 11 1 218.25 23 1 51.562
22283 22 1 241.0 23 1 51.562
22286 8 2 7.1562 15 2 1.957
22287 8 2 3.0312 27 1 59.156
22300 34 2 4.7891 36 2 7.7656
22312 18 2 2.6562 29 2 2.8984
22320 7 1 77.0 42 2 7.5781
22321 4 2 11.547 18 1 38.594
22323 38 2 3.3125 39 2 2.1641
22327 36 1 36.969 40 2 2.875
22331 30 2 2.6953 42 2 4.1406
22333 9 1 87.688 24 2 2.707
22333 9 1 87.688 35 1 90.688
22333 24 2 2.707 35 1 90.688
22337 2 2 7.3125 7 2 2.625
22339 8 2 99.438 17 2 4.9062
22339 8 2 99.438 23 1 69.875
22339 17 2 4.9062 23 1 69.875
22343 39 2 -0.69531 41 1 35.906
22344 8 2 3.625 31 2 3.4688
22346 14 1 2.5938 40 2 -294.0
22348 43 2 64.375 44 2 140.12
22352 8 1 44.562 19 2 3.7812
22352 8 1 44.562 26 2 4.0469
22352 19 2 3.7812 26 2 4.0469
22356 28 2 3.75 38 2 5.3594
22359 2 2 2.9688 8 2 8.1562
22359 2 2 2.9688 14 1 88.062
22359 2 2 2.9688 41 2 3.3008
22359 8 2 8.1562 14 1 88.062
22359 8 2 8.1562 41 2 3.3008
22359 14 1 88.062 41 2 3.3008
22365 7 2 72.625 39 1 85.5
22371 13 1 54.562 43 1 64.062
22372 27 2 3.0938 36 1 47.062
22372 27 2 3.0938 37 2 3.9961
22372 36 1 47.062 37 2 3.9961
22388 28 1 67.688 46 2 2.8203
22398 1 2 3.6172 2 1 4.207
22406 13 2 2.8164 40 1 164.75
22407 14 1 90.75 38 2 5.6094
22408 3 2 36.469 35 2 -154.88
22409 26 1 51.75 42 2 3.4141
22415 15 2 2.3789 26 2 9.3594
22417 34 1 64.188 43 2 3.4531
22419 15 1 59.562 39 2 2.5
22422 8 2 1.9062 45 2 58.062
22428 28 2 3.5 44 1 35.062
22432 19 1 -35.219 36 2 -90.625
22433 4 1 69.062 27 1 49.688
22434 19 1 90.625 20 1 100.56
22435 3 2 2.0234 13 2 -111.06
22437 8 2 4.8906 38 2 2.5469
22450 10 1 53.375 11 2 37.875
22450 10 1 53.375 22 2 2.875
22450 11 2 37.875 22 2 2.875
22456 34 2 4.0938 45 1 44.219
22461 3 2 2.1484 18 2 2.3125
22461 3 2 2.1484 20 1 52.0
22461 18 2 2.3125 20 1 52.0
22462 39 1 44.5 44 2 3.332
22468 39 1 64.062 44 2 16.594
22469 29 2 3.2891 38 2 2.7578
22471 2 2 3.9883 43 2 2.7031
22473 2 1 95.25 11 2 3.0625
22474 29 2 3.9375 34 2 3.0234
22475 5 2 3.6562 8 1 60.844
22476 15 1 -53.0 47 2 -134.25
22477 5 2 3.3125 7 1 50.0
22479 24 1 51.125 26 2 76.375
22485 28 2 2.5625 40 1 192.25
22486 13 1 35.781 38 1 54.25
22488 35 1 31.453 45 2 4.3984
22489 25 1 60.25 26 1 77.375
22489 25 1 60.25 30 2 2.1953
22489 26 1 77.375 30 2 2.1953
22491 30 2 3.1562 40 2 -59.625
22496 30 2 2.2969 44 1 33.656
22500 30 2 12.203 36 1 60.875
22506 28 2 134.25 35 1 35.688
22510 1 1 89.812 4 2 83.375
22511 10 2 4.7031 21 1 114.25
22514 8 2 4.5781 37 1 144.12
22518 14 2 1.9062 26 2 -90.312
22518 14 2 1.9062 27 2 8.5312
22518 26 2 -90.312 27 2 8.5312
22523 37 1 53.531 40 1 -204.38
22528 11 2 271.0 28 2 269.25
22530 12 2 -36.344 15 2 -38.719
22533 38 2 -41.688 43 2 5.3125
22543 12 2 5.2188 23 2 -165.75
22543 12 2 5.2188 40 2 -170.0
22543 23 2 -165.75 40 2 -170.0
22546 15 2 3.1133 28 2 3.3125
22553 9 2 2.9062 24 2 1.9805
22554 22 2 279.5 29 1 272.0
22555 1 2 3.1406 5 1 74.875
22560 4 1 31.562 34 2 -3.5039
22565 19 2 314.5 21 1 33.875
22570 3 2 86.25 39 2 -103.75
22572 14 1 29.703 15 1 43.688
22572 14 1 29.703 34 1 165.62
22572 15 1 43.688 34 1 165.62
22577 1 2 3.2734 3 2 3.5234
22584 20 2 4.9219 44 2 2.5039
22587 38 2 -49.938 47 1 38.188
22592 25 1 46.812 26 2 2.5156
22600 7 2 121.38 20 1 187.25
22600 7 2 121.38 38 2 121.44
22600 7 2 121.38 46 1 54.938
22600 20 1 187.25 38 2 121.44
22600 20 1 187.25 46 1 54.938
22600 38 2 121.44 46 1 54.938
22602 7 2 2.5312 15 2 6.8945
22602 7 2 2.5312 46 1 37.688
22602 15 2 6.8945 46 1 37.688
22604 23 1 82.938 47 2 62.469
22605 19 2 77.812 26 1 -6.9219
22612 28 2 67.375 35 2 4.4336
22616 29 1 102.0 41 2 3.4805
22624 18 2 6.4688 27 2 2.5
22629 7 2 4.0625 8 2 4.7812
22630 27 1 62.062 40 2 4.7031
22639 11 1 37.312 31 2 173.5
22640 5 2 275.0 6 1 70.75
22640 5 2 275.0 39 2 269.5
22640 6 1 70.75 39 2 269.5
22643 7 2 4.3125 13 1 90.375
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22652 2 2 3.0039 39 2 54.75
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22658 10 2 3.4375 18 2 3.3125
22658 10 2 3.4375 30 2 77.75
22658 18 2 3.3125 30 2 77.75
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22662 9 1 60.5 19 2 3.9375
22666 11 2 3.4375 47 2 2.1484
22668 38 2 9.4219 47 2 8.7031
22676 20 2 3.0781 47 2 -24.625
22681 37 2 3.3086 42 2 5.9453
22686 11 2 -23.594 31 1 41.438
22687 20 2 283.0 28 2 4.0
22693 6 2 3.2188 7 1 2.3125
22693 6 2 3.2188 8 2 2.4219
22693 6 2 3.2188 18 2 4.7812
22693 6 2 3.2188 19 2 4.75
22693 7 1 2.3125 8 2 2.4219
22693 7 1 2.3125 18 2 4.7812
22693 7 1 2.3125 19 2 4.75
22693 8 2 2.4219 18 2 4.7812
22693 8 2 2.4219 19 2 4.75
22693 18 2 4.7812 19 2 4.75
22697 14 2 9.3906 37 2 3.2461
22698 18 1 60.344 43 2 3.0078
22702 19 1 205.12 45 2 2.2656
22706 4 1 43.562 22 1 36.25
22714 26 2 -166.62 35 1 86.688
22718 33 2 2.6367 45 2 3.2344
22727 3 2 -19.656 12 2 -20.688
22727 3 2 -19.656 25 1 80.0
22727 12 2 -20.688 25 1 80.0
22733 9 2 3.2188 21 2 6.9375
22734 2 2 4.6562 19 2 2.8438
22739 18 2 4.9062 29 2 3.2422
22741 43 1 33.781 47 2 2.5938
22747 31 2 -139.0 45 1 40.5
22748 23 2 22.828 30 1 45.0
22748 23 2 22.828 35 1 46.906
22748 30 1 45.0 35 1 46.906
22759 29 2 3.8672 30 2 2.3906
22760 9 2 141.25 18 2 2.5
22764 27 2 3.0312 42 2 -228.88
22769 15 2 -19.062 36 1 43.625
22778 1 2 4.3438 10 2 3.2031
22780 7 2 3.9062 19 2 3.7812
22784 18 2 4.0625 30 2 4.6562
22786 26 1 -180.62 43 2 -212.12
22802 4 2 2.4102 47 2 122.44
22803 9 2 3.625 29 2 228.75
22805 20 1 37.875 23 2 2.8867
22806 14 2 3.0469 22 2 4.5156
22811 5 2 84.938 22 2 3.4688
22812 2 2 2.4062 28 2 4.5625
22812 2 2 2.4062 35 2 4.6445
22812 28 2 4.5625 35 2 4.6445
22814 34 2 3.5312 46 2 58.188
22816 5 1 44.312 7 2 92.188
22822 8 2 -161.25 36 2 -166.5
22827 29 1 38.438 41 2 3.6367
22827 29 1 38.438 42 2 2.7344
22827 41 2 3.6367 42 2 2.7344
22835 24 1 65.188 34 1 4.0469
22845 3 2 13.93 13 2 2.6836
22846 13 2 1.5977 28 2 1.6562
22849 36 2 2.4609 45 2 3.7188
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25728 24 2 2.8789 41 1 31.641
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25821 8 2 116.19 20 1 60.25
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25833 5 2 -19.469 37 2 -26.594
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25844 15 2 7.8633 45 2 -164.88
25844 33 2 -167.62 45 2 -164.88
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25922 5 1 54.438 34 2 -242.0
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30957 14 2 3.0 19 1 22.438
30959 3 2 3.1719 45 2 2.6094
30959 3 2 3.1719 47 2 3.2734
30959 45 2 2.6094 47 2 3.2734
30960 2 2 9.4062 19 1 58.875
30960 2 2 9.4062 29 1 28.625
30960 2 2 9.4062 35 2 224.25
30960 2 2 9.4062 47 2 215.62
30960 19 1 58.875 29 1 28.625
30960 19 1 58.875 35 2 224.25
30960 19 1 58.875 47 2 215.62
30960 29 1 28.625 35 2 224.25
30960 29 1 28.625 47 2 215.62
30960 35 2 224.25 47 2 215.62
30961 22 2 2.875 30 1 -141.62
30963 15 2 4.2383 42 2 -285.5
30965 28 2 86.125 42 2 142.88
30976 3 1 4.7422 19 2 4.5
30978 2 2 8.9609 43 2 2.7266
30980 23 2 280.5 30 1 60.562
30982 36 1 71.25 45 2 3.0
30989 4 2 3.6445 42 1 70.625
30991 3 2 -267.0 28 2 3.3438
30996 14 1 46.75 26 2 2.4531
30998 7 2 3.9062 18 2 5.9062
31005 25 2 -84.75 36 1 59.938
31006 28 1 -144.75 47 2 -245.5
31008 19 1 -181.25 22 2 10.875
31008 19 1 -181.25 46 2 8.9219
31008 22 2 10.875 46 2 8.9219
31009 6 2 79.562 26 2 -84.75
31010 23 1 112.69 39 2 2.25
31011 31 1 61.625 40 1 94.0
31014 4 2 2.8789 41 1 58.344
31016 12 1 67.25 29 1 62.0
31017 26 2 2.0625 43 1 57.25
31018 17 1 46.781 22 2 4.5938
31033 42 2 3.3125 43 2 5.3594
31038 24 2 2.9805 43 2 -277.25
31039 45 2 2.9844 47 1 88.938
31045 5 1 41.625 27 2 -2.0312
31047 17 2 3.75 30 2 4.9688
31057 15 2 3.543 34 2 4.0703
31058 35 1 2.5547 42 1 34.125
31061 21 2 -3.5625 44 2 3.4258
31065 29 2 2.1406 30 2 2.0391
31071 4 1 62.844 18 1 63.438
31076 37 2 2.457 43 2 2.8125
31078 7 2 4.3438 30 2 2.9062
31084 5 2 -126.06 23 2 8.5938
31092 24 2 3.6523 38 1 55.688
31096 14 1 59.875 40 1 55.125
31121 6 2 53.688 25 2 17.828
31122 25 1 45.812 43 2 3.1328
31130 27 2 2.6875 44 2 23.203
31131 11 2 34.438 35 2 52.5
31131 11 2 34.438 45 1 36.5
31131 35 2 52.5 45 1 36.5
31132 12 2 161.75 24 2 3.1289
31145 15 2 5.6758 27 2 1.5312
31145 15 2 5.6758 34 1 26.844
31145 27 2 1.5312 34 1 26.844
31162 25 1 73.125 45 2 -102.62
31165 7 2 3.4375 34 1 113.44
31166 9 2 2.2188 13 2 3.5977
31170 4 1 66.25 43 1 46.25
31173 4 1 138.62 10 1 49.406
31175 10 2 3.5156 41 1 47.344
31177 4 2 213.75 36 1 45.469
31180 17 2 3.75 19 2 1.5
31187 2 2 2.5625 5 2 38.344
31187 2 2 2.5625 21 2 2.6562
31187 5 2 38.344 21 2 2.6562
31190 19 2 305.5 37 2 2.4961
31198 25 1 64.938 42 1 62.844
31206 19 2 4.2812 30 2 -176.0
31206 19 2 4.2812 31 2 -176.25
31206 30 2 -176.0 31 2 -176.25
31208 10 2 122.88 36 2 2.8516
31208 10 2 122.88 39 1 84.75
31208 36 2 2.8516 39 1 84.75
31213 19 1 57.656 21 2 2.4688
31216 11 2 3.6875 37 2 159.0
31217 8 2 -89.375 34 2 2.6953
31219 9 2 23.5 20 2 2.7188
31219 9 2 23.5 42 2 8.0938
31219 20 2 2.7188 42 2 8.0938
31222 5 2 3.125 28 1 95.375
31229 8 1 58.5 10 2 3.6562
31242 5 2 10.062 15 2 3.5508
31243 9 2 2.875 45 2 3.0703
31247 42 2 3.0547 46 1 71.0
31248 20 2 2.5469 41 1 60.031
31250 25 1 158.62 26 1 69.25
31265 12 2 31.594 28 2 2.3438
31265 12 2 31.594 38 2 5.5156
31265 28 2 2.3438 38 2 5.5156
31271 37 2 4.6133 46 2 1.4375
31280 4 1 58.156 44 2 4.0195
31287 18 2 43.531 46 2 3.7891
31289 28 1 73.75 29 2 3.1016
31301 39 1 60.75 42 2 2.3203
31303 34 1 57.125 40 2 3.9453
31314 17 2 3.2812 23 1 38.656
31314 17 2 3.2812 36 2 2.6875
31314 23 1 38.656 36 2 2.6875
31315 30 2 2.375 44 2 -46.938
31318 34 2 -161.62 43 1 54.875
31334 24 1 63.844 31 2 5.9531
31337 20 1 -2.1094 37 2 3.6836
31344 21 2 -159.0 28 1 52.969
31347 21 2 3.875 43 1 65.312
31350 6 1 76.0 43 1 65.125
31354 3 1 52.656 5 2 1.875
31354 3 1 52.656 42 2 2.3438
31354 5 2 1.875 42 2 2.3438
31355 5 2 114.0 20 2 4.4531
31355 5 2 114.0 40 1 56.375
31355 20 2 4.4531 40 1 56.375
31361 14 2 3.3438 25 1 47.312
31362 14 2 2.9219 39 2 7.125
31363 8 2 3.2188 37 1 60.531
31364 19 1 44.031 27 1 47.938
31364 19 1 44.031 46 1 47.562
31364 27 1 47.938 46 1 47.562
31374 13 2 -217.5 47 2 5.3359
31377 22 1 50.844 27 1 68.25
31377 22 1 50.844 30 2 5.9531
31377 27 1 68.25 30 2 5.9531
31385 21 2 318.25 35 2 3.9492
31393 3 2 -11.18 24 1 211.75
31394 21 1 38.125 46 2 228.0
31397 2 1 52.844 12 2 -26.312
31401 8 2 7.7344 43 2 7.8438
31403 7 2 3.5938 13 2 2.9102
31403 7 2 3.5938 43 2 5.6562
31403 13 2 2.9102 43 2 5.6562
31411 25 2 3.0156 44 2 1.832
31411 25 2 3.0156 46 1 61.062
31411 44 2 1.832 46 1 61.062
31413 18 2 2.9688 23 1 77.375
31416 25 2 -56.812 42 1 3.5625
31424 7 2 3.8438 27 2 8.0
31428 7 1 57.906 11 2 2.2188
31428 7 1 57.906 18 2 5.4688
31428 11 2 2.2188 18 2 5.4688
31430 6 1 36.781 15 2 3.332
31433 40 2 2.1719 42 1 64.5
31434 19 1 39.281 43 1 74.938
31440 5 2 3.0 7 2 4.2812
31441 2 2 3.0625 7 2 4.3438
31441 2 2 3.0625 43 2 8.9688
31441 7 2 4.3438 43 2 8.9688
31442 33 2 2.6602 34 2 7.4531
31449 27 2 6.3438 43 2 -103.81
31460 27 1 49.5 47 2 271.0
31461 5 2 202.25 10 2 204.5
31461 5 2 202.25 26 2 3.125
31461 10 2 204.5 26 2 3.125
31463 27 2 2.2812 44 1 32.594
31465 25 2 2.9531 28 2 9.4375
31465 25 2 2.9531 34 2 2.9141
31465 28 2 9.4375 34 2 2.9141
31466 19 2 11.062 34 2 3.4453
31466 19 2 11.062 38 2 4.5781
31466 34 2 3.4453 38 2 4.5781
31477 13 1 42.375 41 2 13.438
31482 25 1 37.75 46 1 121.06
31490 4 2 3.6758 24 2 51.219
31490 4 2 3.6758 47 2 6.2656
31490 24 2 51.219 47 2 6.2656
31492 5 2 -183.25 14 2 4.9688
31492 5 2 -183.25 25 1 66.75
31492 14 2 4.9688 25 1 66.75
31494 35 2 3.7383 41 2 3.8789
31496 14 2 3.25 20 1 57.75
31497 12 2 2.7578 25 1 66.375
31503 38 2 4.3438 41 2 3.4883
31503 38 2 4.3438 47 2 2.1016
31503 41 2 3.4883 47 2 2.1016
31504 7 1 55.188 18 2 2.4062
31504 7 1 55.188 46 2 2.7656
31504 18 2 2.4062 46 2 2.7656
31511 4 2 9.0625 40 2 4.25
31532 30 2 -1.3789 42 1 58.594
31534 14 2 3.9688 15 2 2.8633
31545 11 2 3.5938 19 2 2.8438
31552 2 1 71.25 41 2 3.0742
31553 28 1 54.375 44 2 4.0039
31555 28 1 68.062 37 2 59.781
31561 5 2 3.4375 45 2 3.0391
31563 26 2 3.0156 29 1 45.219
31567 10 1 -156.88 41 2 -162.25
31569 6 2 2.1875 10 2 273.0
31572 8 1 93.438 9 2 91.5
31573 33 2 -38.219 43 1 60.938
31575 7 1 64.562 37 1 74.25
31579 19 2 2.2812 28 1 70.875
31580 33 1 249.0 36 1 55.375
31580 33 1 249.0 37 2 214.88
31580 33 1 249.0 42 2 2.4922
31580 33 1 249.0 47 2 213.25
31580 36 1 55.375 37 2 214.88
31580 36 1 55.375 42 2 2.4922
31580 36 1 55.375 47 2 213.25
31580 37 2 214.88 42 2 2.4922
31580 37 2 214.88 47 2 213.25
31580 42 2 2.4922 47 2 213.25
31589 23 1 41.562 47 2 4.0938
31592 8 2 83.0 12 1 76.875
31596 5 2 2.0 8 2 3.1875
31598 13 2 2.0742 20 1 50.375
31599 4 2 48.188 47 2 25.781
31606 11 2 4.2969 45 2 194.5
31611 24 2 2.3789 38 2 294.25
31611 24 2 2.3789 42 2 2.3438
31611 38 2 294.25 42 2 2.3438
31616 26 2 3.2656 46 1 72.0
31621 12 1 18.484 43 2 3.0469
31623 19 2 3.25 35 2 4.2695
31623 19 2 3.25 38 1 7.7969
31623 35 2 4.2695 38 1 7.7969
31627 1 2 166.88 13 2 108.19
31627 1 2 166.88 23 1 48.875
31627 13 2 108.19 23 1 48.875
31642 6 2 62.094 7 1 81.25
31645 21 1 48.0 35 1 34.5
31646 29 2 266.25 39 2 266.5
31649 3 2 -129.38 14 1 39.469
31655 14 2 3.625 19 2 3.625
31661 11 2 2.9375 13 2 2.5352
31661 11 2 2.9375 14 1 38.344
31661 13 2 2.5352 14 1 38.344
31663 33 2 7.8086 46 2 4.0625
31667 1 2 1.7969 5 2 1.6875
31673 7 2 3.6875 23 2 2.4336
31688 18 2 3.9062 31 1 59.0
31689 7 1 59.156 12 2 2.2656
31689 7 1 59.156 14 2 245.25
31689 7 1 59.156 26 2 5.3906
31689 7 1 59.156 39 2 246.62
31689 12 2 2.2656 14 2 245.25
31689 12 2 2.2656 26 2 5.3906
31689 12 2 2.2656 39 2 246.62
31689 14 2 245.25 26 2 5.3906
31689 14 2 245.25 39 2 246.62
31689 26 2 5.3906 39 2 246.62
31691 6 1 43.25 46 2 -267.75
31697 18 1 70.25 19 2 209.5
31704 5 2 3.5 47 2 171.62
31714 18 1 2.5625 37 2 3.5273
31723 30 1 37.25 34 2 5.0781
31725 7 2 3.625 10 2 3.375
31727 24 2 1.9062 38 2 6.7969
31731 35 1 44.812 42 2 3.5
31732 17 1 65.0 27 2 2.5
31738 10 1 73.438 24 1 41.375
31740 24 2 1.8398 35 2 3.6055
31741 5 1 -50.5 22 1 -28.625
31741 5 1 -50.5 36 1 -17.062
31741 22 1 -28.625 36 1 -17.062
31747 14 2 3.1406 47 2 3.0078
31748 35 2 3.6602 44 2 3.7383
31750 11 1 76.688 13 2 2.9023
31751 18 2 3.7188 46 2 2.1406
31752 12 1 132.75 26 1 42.406
31753 19 2 2.875 29 1 66.812
31757 4 2 2.8047 46 2 3.7969
31762 7 2 2.6875 19 2 3.0
31765 11 2 24.625 37 2 21.25
31770 42 1 209.75 45 2 216.88
31774 1 2 3.8125 10 2 3.7656
31777 7 2 3.0312 20 2 2.9688
31778 6 2 4.4375 36 2 3.1562
31779 27 2 182.0 38 2 2.6406
31785 34 2 208.38 40 1 274.75
31787 23 1 39.781 25 2 2.3359
31790 20 2 2.3594 40 2 3.4141
31790 20 2 2.3594 45 2 162.75
31790 40 2 3.4141 45 2 162.75
31805 27 2 3.0938 46 1 100.19
31807 10 1 63.938 26 2 2.4219
31809 24 1 74.938 30 2 0.84375
31812 5 2 9.6875 24 1 58.469
31814 3 2 5.1875 4 2 2.9805
31815 18 2 3.4375 47 2 4.2422
31819 11 2 2.625 27 2 40.906
31822 7 2 3.75 28 1 82.312
31822 7 2 3.75 36 2 2.875
31822 28 1 82.312 36 2 2.875
31831 5 2 3.6875 46 2 1.6719
31834 20 2 2.8281 23 2 88.812
31844 18 2 76.875 35 2 3.1523
31846 18 1 85.062 47 2 2.9922
31847 9 2 3.5938 35 2 -221.38
31849 7 2 3.4375 30 2 2.0625
To remind ourselves what this file contains, the columns are:
From this I need to calculate the energies. I don't really want to regenerate the bicorr file, or even the bhm file. I need a separate function that will take the bicorr file and generate a bhm_e distribution.
In [5]:
bicorr_data = bicorr.load_bicorr(1, root_path = '../datar')
In [8]:
type(bicorr_data)
Out[8]:
numpy.ndarray
I used a numpy array. That's kind of a shame. If I had used a pandas array, I could easily add new colums with energies, but oh well. Moving on.
Follow the method in build_bicorr_hist_master.
In [14]:
help(bicorr_e.build_energy_bin_edges)
Help on function build_energy_bin_edges in module bicorr_e:
build_energy_bin_edges(e_min=0, e_max=15, e_step=0.025, print_flag=False)
Construct energy_bin_edges for the two-dimensional bicorrelation energy histograms.
Use as: e_bin_edges, num_e_bins = bicorr.build_energy_bin_edges()
Parameters
----------
e_min : int, optional
Lower energy boundary
e_max : int, optional
Upper energy boundary
e_step : float, optional
Energy bin size
print_flag : bool, optional
Whether to print array details
Returns
-------
e_bin_edges : ndarray
One-dimensional array of energy bin edges
num_e_bins : ndarray
Number of bins in energy dimension
In [6]:
e_bin_edges, num_e_bins = bicorr_e.build_energy_bin_edges()
In [11]:
print(e_bin_edges)
print(num_e_bins)
[ 0. 0.025 0.05 0.075 0.1 0.125 0.15 0.175 0.2
0.225 0.25 0.275 0.3 0.325 0.35 0.375 0.4 0.425
0.45 0.475 0.5 0.525 0.55 0.575 0.6 0.625 0.65
0.675 0.7 0.725 0.75 0.775 0.8 0.825 0.85 0.875
0.9 0.925 0.95 0.975 1. 1.025 1.05 1.075 1.1
1.125 1.15 1.175 1.2 1.225 1.25 1.275 1.3 1.325
1.35 1.375 1.4 1.425 1.45 1.475 1.5 1.525 1.55
1.575 1.6 1.625 1.65 1.675 1.7 1.725 1.75 1.775
1.8 1.825 1.85 1.875 1.9 1.925 1.95 1.975 2.
2.025 2.05 2.075 2.1 2.125 2.15 2.175 2.2 2.225
2.25 2.275 2.3 2.325 2.35 2.375 2.4 2.425 2.45
2.475 2.5 2.525 2.55 2.575 2.6 2.625 2.65 2.675
2.7 2.725 2.75 2.775 2.8 2.825 2.85 2.875 2.9
2.925 2.95 2.975 3. 3.025 3.05 3.075 3.1 3.125
3.15 3.175 3.2 3.225 3.25 3.275 3.3 3.325 3.35
3.375 3.4 3.425 3.45 3.475 3.5 3.525 3.55 3.575
3.6 3.625 3.65 3.675 3.7 3.725 3.75 3.775 3.8
3.825 3.85 3.875 3.9 3.925 3.95 3.975 4. 4.025
4.05 4.075 4.1 4.125 4.15 4.175 4.2 4.225 4.25
4.275 4.3 4.325 4.35 4.375 4.4 4.425 4.45 4.475
4.5 4.525 4.55 4.575 4.6 4.625 4.65 4.675 4.7
4.725 4.75 4.775 4.8 4.825 4.85 4.875 4.9 4.925
4.95 4.975 5. 5.025 5.05 5.075 5.1 5.125 5.15
5.175 5.2 5.225 5.25 5.275 5.3 5.325 5.35 5.375
5.4 5.425 5.45 5.475 5.5 5.525 5.55 5.575 5.6
5.625 5.65 5.675 5.7 5.725 5.75 5.775 5.8 5.825
5.85 5.875 5.9 5.925 5.95 5.975 6. 6.025 6.05
6.075 6.1 6.125 6.15 6.175 6.2 6.225 6.25 6.275
6.3 6.325 6.35 6.375 6.4 6.425 6.45 6.475 6.5
6.525 6.55 6.575 6.6 6.625 6.65 6.675 6.7 6.725
6.75 6.775 6.8 6.825 6.85 6.875 6.9 6.925 6.95
6.975 7. 7.025 7.05 7.075 7.1 7.125 7.15 7.175
7.2 7.225 7.25 7.275 7.3 7.325 7.35 7.375 7.4
7.425 7.45 7.475 7.5 7.525 7.55 7.575 7.6 7.625
7.65 7.675 7.7 7.725 7.75 7.775 7.8 7.825 7.85
7.875 7.9 7.925 7.95 7.975 8. 8.025 8.05 8.075
8.1 8.125 8.15 8.175 8.2 8.225 8.25 8.275 8.3
8.325 8.35 8.375 8.4 8.425 8.45 8.475 8.5 8.525
8.55 8.575 8.6 8.625 8.65 8.675 8.7 8.725 8.75
8.775 8.8 8.825 8.85 8.875 8.9 8.925 8.95 8.975
9. 9.025 9.05 9.075 9.1 9.125 9.15 9.175 9.2
9.225 9.25 9.275 9.3 9.325 9.35 9.375 9.4 9.425
9.45 9.475 9.5 9.525 9.55 9.575 9.6 9.625 9.65
9.675 9.7 9.725 9.75 9.775 9.8 9.825 9.85 9.875
9.9 9.925 9.95 9.975 10. 10.025 10.05 10.075 10.1
10.125 10.15 10.175 10.2 10.225 10.25 10.275 10.3 10.325
10.35 10.375 10.4 10.425 10.45 10.475 10.5 10.525 10.55
10.575 10.6 10.625 10.65 10.675 10.7 10.725 10.75 10.775
10.8 10.825 10.85 10.875 10.9 10.925 10.95 10.975 11.
11.025 11.05 11.075 11.1 11.125 11.15 11.175 11.2 11.225
11.25 11.275 11.3 11.325 11.35 11.375 11.4 11.425 11.45
11.475 11.5 11.525 11.55 11.575 11.6 11.625 11.65 11.675
11.7 11.725 11.75 11.775 11.8 11.825 11.85 11.875 11.9
11.925 11.95 11.975 12. 12.025 12.05 12.075 12.1 12.125
12.15 12.175 12.2 12.225 12.25 12.275 12.3 12.325 12.35
12.375 12.4 12.425 12.45 12.475 12.5 12.525 12.55 12.575
12.6 12.625 12.65 12.675 12.7 12.725 12.75 12.775 12.8
12.825 12.85 12.875 12.9 12.925 12.95 12.975 13. 13.025
13.05 13.075 13.1 13.125 13.15 13.175 13.2 13.225 13.25
13.275 13.3 13.325 13.35 13.375 13.4 13.425 13.45 13.475
13.5 13.525 13.55 13.575 13.6 13.625 13.65 13.675 13.7
13.725 13.75 13.775 13.8 13.825 13.85 13.875 13.9 13.925
13.95 13.975 14. 14.025 14.05 14.075 14.1 14.125 14.15
14.175 14.2 14.225 14.25 14.275 14.3 14.325 14.35 14.375
14.4 14.425 14.45 14.475 14.5 14.525 14.55 14.575 14.6
14.625 14.65 14.675 14.7 14.725 14.75 14.775 14.8 14.825
14.85 14.875 14.9 14.925 14.95 14.975 15. ]
600
In [17]:
# Number of bins in interaction type
num_intn_types = 1 #(0=nn, 1=np, 2=pn, 3=pp), only going to use nn
In [15]:
# What are the unique detector numbers? Use same technique as in bicorr.py
chList, fcList, detList, num_dets, num_det_pairs = bicorr.build_ch_lists(print_flag=True)
Fission chamber channels: [ 0 16 32]
Detector channels: [ 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 17 18 19 20 21 22 23 24 25 26
27 28 29 30 31 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47]
Number of detectors: 45
Number of detector pairs: 990
In [14]:
bhm_e = np.zeros((num_det_pairs,num_intn_types,num_e_bins,num_e_bins),dtype=np.uint32)
In [15]:
bhm_e.shape
Out[15]:
(990, 1, 600, 600)
How large when stored to disk?
In [16]:
bhm_e.nbytes/1e9
Out[16]:
1.4256
This is pretty small. Good. I could even avoid converting it to and from sparse matrix at this size.
In [50]:
help(bicorr_e.alloc_bhm_e)
Help on function alloc_bhm_e in module bicorr_e:
alloc_bhm_e(num_det_pairs, num_intn_types, num_e_bins)
Preallocate bhm_e
Four dimensions: num_det_pairs x num_intn_types x num_e_bins x num_e_bins
Interaction type index: (0=nn, 1=np, 2=pn, 3=pp)
Parameters
----------
num_det_pairs : int
num_intn_types : int, optional
num_e_bins : int
Returns
-------
bhm_e : ndarray
Zero-filled bhm_e in energy space
In [18]:
bhm_e = bicorr_e.alloc_bhm_e(num_det_pairs, num_intn_types, num_e_bins)
In [18]:
bhm_e.shape
Out[18]:
(990, 1, 600, 600)
In [22]:
dict_det_dist = bicorr_e.build_dict_det_dist()
In [21]:
dict_det_dist
Out[21]:
{1: 1.0649999999999999,
2: 1.0509999999999999,
3: 1.038,
4: 1.0329999999999999,
5: 1.0249999999999999,
6: 1.0290000000000001,
7: 1.0449999999999999,
8: 1.0640000000000001,
9: 1.0840000000000001,
10: 1.073,
11: 1.056,
12: 1.042,
13: 1.04,
14: 1.038,
15: 1.0429999999999999,
17: 1.0509999999999999,
18: 1.0680000000000001,
19: 1.083,
20: 1.087,
21: 1.0680000000000001,
22: 1.0680000000000001,
23: 1.0680000000000001,
24: 1.0680000000000001,
25: 1.0680000000000001,
26: 1.0859999999999999,
27: 1.093,
28: 1.103,
29: 1.0580000000000001,
30: 1.0469999999999999,
31: 1.028,
33: 1.0249999999999999,
34: 1.018,
35: 1.0270000000000001,
36: 1.0429999999999999,
37: 1.056,
38: 1.0840000000000001,
39: 1.0680000000000001,
40: 1.0529999999999999,
41: 1.0390000000000001,
42: 1.032,
43: 1.03,
44: 1.0429999999999999,
45: 1.05,
46: 1.0629999999999999,
47: 1.0840000000000001}
In [22]:
dict_det_dist[45]
Out[22]:
1.05
In [20]:
# Set up dictionary for returning detector pair index
det_df = bicorr.load_det_df()
dict_pair_to_index, dict_index_to_pair, dict_pair_to_angle = bicorr.build_dict_det_pair(det_df)
In [24]:
print(det_df)
print(dict_pair_to_index)
print(dict_index_to_pair)
print(dict_pair_to_angle)
d1 d2 d1d2 angle
0 1 2 102 15.000000
1 1 3 103 30.000000
2 1 4 104 45.000000
3 1 5 105 60.000000
4 1 6 106 75.000000
5 1 7 107 90.000000
6 1 8 108 105.000000
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56.285670291899997, 727: 52.941674527899998, 728: 52.473027864300001, 729: 150.0, 730: 165.0, 731: 180.0, 733: 165.0, 734: 150.0, 735: 135.0, 736: 120.0, 737: 105.0, 738: 90.0, 739: 142.76568837299999, 740: 150.12706551700001, 741: 151.52231990600001, 742: 146.19862574200002, 743: 136.57793519099999, 744: 124.90043366100001, 745: 112.271935267, 746: 99.2083675035, 747: 85.99418636610001, 2829: 148.39532321199999, 2830: 139.12819344499999, 2831: 127.526972136, 2833: 114.87137379200001, 2834: 101.73399879500001, 2835: 88.4124084603, 2836: 75.114360819599995, 2837: 62.058532216400003, 2838: 49.585256605600001, 2839: 135.30748711200002, 2840: 123.85303048, 2841: 111.424482508, 2842: 98.545329463299993, 2843: 85.513900459300004, 2844: 72.560660125200002, 2845: 59.950314215900001, 2846: 48.111713799099995, 2847: 37.897711839400003, 809: 15.0, 810: 108.41259485299999, 811: 94.626774645499992, 812: 80.7916324965, 813: 67.057325625600001, 814: 53.627702888599998, 815: 40.901585347800001, 817: 29.872934483000002, 818: 23.170902359499998, 819: 24.647970991599998, 820: 117.941467784, 821: 107.25540577700001, 822: 95.997155072099986, 823: 84.560560127499997, 824: 73.285300844099993, 825: 62.560031583100006, 826: 52.941674527899998, 827: 45.302126489799996, 828: 40.871806555500001, 829: 165.0, 830: 180.0, 831: 165.0, 833: 150.0, 834: 135.0, 835: 120.0, 836: 105.0, 837: 90.0, 838: 75.0, 839: 155.35202900799999, 840: 156.829097641, 841: 150.12706551700001, 842: 139.098414652, 843: 126.37229711100001, 844: 112.94267437399999, 845: 99.2083675035, 846: 85.373225354499994, 847: 71.587405147299989, 2930: 15.0, 2931: 30.0, 2933: 45.0, 2934: 60.0, 2935: 75.0, 2936: 90.0, 2937: 105.0, 2938: 120.0, 2939: 16.328076579099999, 2940: 24.647970991599998, 2941: 37.2343116272, 2942: 51.009564723700002, 2943: 65.207371697200003, 2944: 79.577643679999994, 2945: 94.00581363389999, 2946: 108.41259485299999, 2947: 122.70626676200001, 910: 122.70626676200001, 911: 108.41259485299999, 912: 94.00581363389999, 913: 79.577643679999994, 914: 65.207371697200003, 915: 51.009564723700002, 917: 37.2343116272, 918: 24.647970991599998, 919: 16.328076579099999, 920: 130.414743394, 921: 117.941467784, 922: 104.88563918, 923: 91.5875915397, 924: 78.266001205099997, 925: 65.128626208400007, 926: 52.473027864300001, 927: 40.871806555500001, 928: 31.604676788499997, 929: 180.0, 930: 165.0, 931: 150.0, 933: 135.0, 934: 120.0, 935: 105.0, 936: 90.0, 937: 75.0, 938: 60.0, 939: 163.671923421, 940: 155.35202900799999, 941: 142.76568837299999, 942: 128.990435276, 943: 114.79262830299999, 944: 100.42235632000001, 945: 85.99418636610001, 946: 71.587405147299989, 947: 57.2937332383, 3031: 15.0, 3033: 30.0, 3034: 45.0, 3035: 60.0, 3036: 75.0, 3037: 90.0, 3038: 105.0, 3039: 24.647970991599998, 3040: 23.170902359499998, 3041: 29.872934483000002, 3042: 40.901585347800001, 3043: 53.627702888599998, 3044: 67.057325625600001, 3045: 80.7916324965, 3046: 94.626774645499992, 3047: 108.41259485299999, 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67.728064732899995, 3146: 80.7916324965, 3147: 94.00581363389999, 1112: 15.0, 1113: 30.0, 1114: 45.0, 1115: 60.0, 1117: 75.0, 1118: 90.0, 1119: 105.0, 1120: 24.647970991599998, 1121: 23.170902359499998, 1122: 29.872934483000002, 1123: 40.901585347800001, 1124: 53.627702888599998, 1125: 67.057325625600001, 1126: 80.7916324965, 1127: 94.626774645499992, 1128: 108.41259485299999, 1129: 71.587405147299989, 1130: 85.373225354499994, 1131: 99.2083675035, 1133: 112.94267437399999, 1134: 126.37229711100001, 1135: 139.098414652, 1136: 150.12706551700001, 1137: 156.829097641, 1138: 155.35202900799999, 1139: 62.058532216400003, 1140: 72.744594222700002, 1141: 84.0028449279, 1142: 95.439439872500003, 1143: 106.71469915600001, 1144: 117.439968417, 1145: 127.05832547200001, 1146: 134.69787350999999, 1147: 139.12819344499999, 1213: 15.0, 1214: 30.0, 1215: 45.0, 1217: 60.0, 1218: 75.0, 1219: 90.0, 1220: 37.2343116272, 1221: 29.872934483000002, 1222: 28.4776800942, 1223: 33.801374258000003, 1224: 43.422064809200002, 1225: 55.099566339300004, 1226: 67.728064732899995, 1227: 80.7916324965, 1228: 94.00581363389999, 1229: 85.99418636610001, 1230: 99.2083675035, 1231: 112.271935267, 1233: 124.90043366100001, 1234: 136.57793519099999, 1235: 146.19862574200002, 1236: 151.52231990600001, 1237: 150.12706551700001, 1238: 142.76568837299999, 1239: 75.114360819599995, 1240: 84.0028449279, 1241: 93.155870381499994, 1242: 102.17113222799999, 1243: 110.62464600600001, 1244: 118.01166766799999, 1245: 123.71432970799999, 1246: 127.05832547200001, 1247: 127.526972136, 3334: 15.0, 3335: 30.0, 3336: 45.0, 3337: 60.0, 3338: 75.0, 3339: 51.009564723700002, 3340: 40.901585347800001, 3341: 33.801374258000003, 3342: 31.845105343299998, 3343: 35.894926382000001, 3344: 44.315563438799998, 3345: 55.099566339300004, 3346: 67.057325625600001, 3347: 79.577643679999994, 1314: 15.0, 1315: 30.0, 1317: 45.0, 1318: 60.0, 1319: 75.0, 1320: 51.009564723700002, 1321: 40.901585347800001, 1322: 33.801374258000003, 1323: 31.845105343299998, 1324: 35.894926382000001, 1325: 44.315563438799998, 1326: 55.099566339300004, 1327: 67.057325625600001, 1328: 79.577643679999994, 1329: 100.42235632000001, 1330: 112.94267437399999, 1331: 124.90043366100001, 1333: 135.68443656100001, 1334: 144.10507361800001, 1335: 148.154894657, 1336: 146.19862574200002, 1337: 139.098414652, 1338: 128.990435276, 1339: 88.4124084603, 1340: 95.439439872500003, 1341: 102.17113222799999, 1342: 108.210147236, 1343: 113.133660277, 1344: 116.517923764, 1345: 118.01166766799999, 1346: 117.439968417, 1347: 114.87137379200001, 3435: 15.0, 3436: 30.0, 3437: 45.0, 3438: 60.0, 3439: 65.207371697200003, 3440: 53.627702888599998, 3441: 43.422064809200002, 3442: 35.894926382000001, 3443: 33.0, 3444: 35.894926382000001, 3445: 43.422064809200002, 3446: 53.627702888599998, 3447: 65.207371697200003, 1415: 15.0, 1417: 30.0, 1418: 45.0, 1419: 60.0, 1420: 65.207371697200003, 1421: 53.627702888599998, 1422: 43.422064809200002, 1423: 35.894926382000001, 1424: 33.0, 1425: 35.894926382000001, 1426: 43.422064809200002, 1427: 53.627702888599998, 1428: 65.207371697200003, 1429: 114.79262830299999, 1430: 126.37229711100001, 1431: 136.57793519099999, 1433: 144.10507361800001, 1434: 147.0, 1435: 144.10507361800001, 1436: 136.57793519099999, 1437: 126.37229711100001, 1438: 114.79262830299999, 1439: 101.73399879500001, 1440: 106.71469915600001, 1441: 110.62464600600001, 1442: 113.133660277, 1443: 114.0, 1444: 113.133660277, 1445: 110.62464600600001, 1446: 106.71469915600001, 1447: 101.73399879500001, 3536: 15.0, 3537: 30.0, 3538: 45.0, 3539: 79.577643679999994, 3540: 67.057325625600001, 3541: 55.099566339300004, 3542: 44.315563438799998, 3543: 35.894926382000001, 3544: 31.845105343299998, 3545: 33.801374258000003, 3546: 40.901585347800001, 3547: 51.009564723700002, 1517: 15.0, 1518: 30.0, 1519: 45.0, 1520: 79.577643679999994, 1521: 67.057325625600001, 1522: 55.099566339300004, 1523: 44.315563438799998, 1524: 35.894926382000001, 1525: 31.845105343299998, 1526: 33.801374258000003, 1527: 40.901585347800001, 1528: 51.009564723700002, 1529: 128.990435276, 1530: 139.098414652, 1531: 146.19862574200002, 1533: 148.154894657, 1534: 144.10507361800001, 1535: 135.68443656100001, 1536: 124.90043366100001, 1537: 112.94267437399999, 1538: 100.42235632000001, 1539: 114.87137379200001, 1540: 117.439968417, 1541: 118.01166766799999, 1542: 116.517923764, 1543: 113.133660277, 1544: 108.210147236, 1545: 102.17113222799999, 1546: 95.439439872500003, 1547: 88.4124084603, 3637: 15.0, 3638: 30.0, 3639: 94.00581363389999, 3640: 80.7916324965, 3641: 67.728064732899995, 3642: 55.099566339300004, 3643: 43.422064809200002, 3644: 33.801374258000003, 3645: 28.4776800942, 3646: 29.872934483000002, 3647: 37.2343116272, 3738: 15.0, 3739: 108.41259485299999, 3740: 94.626774645499992, 3741: 80.7916324965, 3742: 67.057325625600001, 3743: 53.627702888599998, 3744: 40.901585347800001, 3745: 29.872934483000002, 3746: 23.170902359499998, 3747: 24.647970991599998, 1718: 15.0, 1719: 30.0, 1720: 94.00581363389999, 1721: 80.7916324965, 1722: 67.728064732899995, 1723: 55.099566339300004, 1724: 43.422064809200002, 1725: 33.801374258000003, 1726: 28.4776800942, 1727: 29.872934483000002, 1728: 37.2343116272, 1729: 142.76568837299999, 1730: 150.12706551700001, 1731: 151.52231990600001, 1733: 146.19862574200002, 1734: 136.57793519099999, 1735: 124.90043366100001, 1736: 112.271935267, 1737: 99.2083675035, 1738: 85.99418636610001, 1739: 127.526972136, 1740: 127.05832547200001, 1741: 123.71432970799999, 1742: 118.01166766799999, 1743: 110.62464600600001, 1744: 102.17113222799999, 1745: 93.155870381499994, 1746: 84.0028449279, 1747: 75.114360819599995, 3839: 122.70626676200001, 3840: 108.41259485299999, 3841: 94.00581363389999, 3842: 79.577643679999994, 3843: 65.207371697200003, 3844: 51.009564723700002, 3845: 37.2343116272, 3846: 24.647970991599998, 3847: 16.328076579099999, 1819: 15.0, 1820: 108.41259485299999, 1821: 94.626774645499992, 1822: 80.7916324965, 1823: 67.057325625600001, 1824: 53.627702888599998, 1825: 40.901585347800001, 1826: 29.872934483000002, 1827: 23.170902359499998, 1828: 24.647970991599998, 1829: 155.35202900799999, 1830: 156.829097641, 1831: 150.12706551700001, 1833: 139.098414652, 1834: 126.37229711100001, 1835: 112.94267437399999, 1836: 99.2083675035, 1837: 85.373225354499994, 1838: 71.587405147299989, 1839: 139.12819344499999, 1840: 134.69787350999999, 1841: 127.05832547200001, 1842: 117.439968417, 1843: 106.71469915600001, 1844: 95.439439872500003, 1845: 84.0028449279, 1846: 72.744594222700002, 1847: 62.058532216400003, 3940: 15.0, 3941: 30.0, 3942: 45.0, 3943: 60.0, 3944: 75.0, 3945: 90.0, 3946: 105.0, 3947: 120.0, 1920: 122.70626676200001, 1921: 108.41259485299999, 1922: 94.00581363389999, 1923: 79.577643679999994, 1924: 65.207371697200003, 1925: 51.009564723700002, 1926: 37.2343116272, 1927: 24.647970991599998, 1928: 16.328076579099999, 1929: 163.671923421, 1930: 155.35202900799999, 1931: 142.76568837299999, 1933: 128.990435276, 1934: 114.79262830299999, 1935: 100.42235632000001, 1936: 85.99418636610001, 1937: 71.587405147299989, 1938: 57.2937332383, 1939: 148.39532321199999, 1940: 139.12819344499999, 1941: 127.526972136, 1942: 114.87137379200001, 1943: 101.73399879500001, 1944: 88.4124084603, 1945: 75.114360819599995, 1946: 62.058532216400003, 1947: 49.585256605600001, 4041: 15.0, 4042: 30.0, 4043: 45.0, 4044: 60.0, 4045: 75.0, 4046: 90.0, 4047: 105.0, 2021: 15.0, 2022: 30.0, 2023: 45.0, 2024: 60.0, 2025: 75.0, 2026: 90.0, 2027: 105.0, 2028: 120.0, 2029: 49.585256605600001, 2030: 62.058532216400003, 2031: 75.114360819599995, 2033: 88.4124084603, 2034: 101.73399879500001, 2035: 114.87137379200001, 2036: 127.526972136, 2037: 139.12819344499999, 2038: 148.39532321199999, 2039: 37.897711839400003, 2040: 48.111713799099995, 2041: 59.950314215900001, 2042: 72.560660125200002, 2043: 85.513900459300004, 2044: 98.545329463299993, 2045: 111.424482508, 2046: 123.85303048, 2047: 135.30748711200002}
In [99]:
# Type index
dict_type_to_index = {11:0, 12:1, 21:2, 22:3}
In [25]:
i = 3
In [26]:
bicorr_data[i]
Out[26]:
(44, 29, 1, 40.84375, 37, 1, 46.0625)
In [28]:
det1dist = dict_det_dist[bicorr_data[i]['det1ch']]
det2dist = dict_det_dist[bicorr_data[i]['det2ch']]
print(det1dist,det2dist)
1.058 1.056
These are pretty close together. Now convert those to energy using the time stamps. Only proceed when both time stamps are greater than 0.
In [29]:
det1t = bicorr_data[i]['det1t']
det2t = bicorr_data[i]['det2t']
print(det1t, det2t)
40.844 46.063
In [30]:
det1e = bicorr.convert_time_to_energy(det1t, det1dist)
det2e = bicorr.convert_time_to_energy(det2t, det2dist)
print(det1e,det2e)
3.52593721684 2.76176857758
Set up info for filling the histogram
In [32]:
e_min = np.min(e_bin_edges); e_max = np.max(e_bin_edges)
e_step = e_bin_edges[1]-e_bin_edges[0]
Only proceed if both particles are neutrons AND both times are greater than 0. How do I implement this logic?
In [86]:
i = 16
event = bicorr_data[i]
det1t = event['det1t']; det2t = event['det2t'];
print(event, det1t, det2t, event['det1par'], event['det2par'])
(207, 36, 2, 89.375, 40, 2, 5.9296875) 89.375 5.9297 2 2
In [87]:
np.logical_and([det1t > 0, event['det1par'] == 1], [det2t>0, event['det2par'] == 1])
Out[87]:
array([ True, False], dtype=bool)
The tricky thing here is that np.logical_and looks at elements 0 of both input arrays as one pair, then elements 1, etc. I had originally implemented it with the assumption that it looked at each input array as a pair. Thus, the split implementation.
Implement tqdm status bar.
In [107]:
for i in tqdm(np.arange(bicorr_data.shape[0]),ascii=True,disable=False):
event = bicorr_data[i]
det1t = event['det1t']; det2t = event['det2t'];
logic = np.logical_and([det1t > 0, event['det1par'] == 1], [det2t>0, event['det2par'] == 1])
if np.logical_and(logic[0],logic[1]): # nn with both t > 0
det1dist = dict_det_dist[event['det1ch']]
det2dist = dict_det_dist[event['det2ch']]
det1e = bicorr.convert_time_to_energy(det1t, det1dist)
det2e = bicorr.convert_time_to_energy(det2t, det2dist)
# Check that they are in range of the histogram
if np.logical_and(e_min < det1e < e_max, e_min < det2e < e_max):
# Determine index of detector pairs
pair_i = dict_pair_to_index[event['det1ch']*100+event['det2ch']]
# Determine indices of energy values
e1_i = int(np.floor((det1e-e_min)/e_step))
e2_i = int(np.floor((det2e-e_min)/e_step))
# Increment bhm_e
pair_i = dict_pair_to_index[event['det1ch']*100+event['det2ch']]
bhm_e[pair_i,0,e1_i,e2_i] += 1
100%|##########| 695/695 [00:00<00:00, 16752.05it/s]
In [119]:
import inspect
In [121]:
print(inspect.getsource(bicorr_e.fill_bhm_e))
def fill_bhm_e(bhm_e, bicorr_data, det_df, e_bin_edges, disable_tqdm = False):
"""
Fill bhm_e. Structure:
Dimension 0: detector pair, use dictionary 'dict_pair_to_index', where pair is (100*det1ch+det2ch)
Dimension 1: interaction type, length 1. Only storing 0=nn.
Dimension 2: e bin for detector 1
Dimension 3: e bin for detector 2
Must have allocated bhm_e and loaded bicorr_data
Parameters
----------
bhm_e : ndarray
Master histogram of bicorrelation events in energy space. Dimensions listed above.
bicorr_data : ndarray
Each element contains the following info for one bicorrelation pair
Columns are 0: event, np.int32
1: det1ch, np.int8
2: det1par, np.int8
3: det1t, np.float16
4: det2ch, np.int8
5: det2par, np.int8
6: det2t, np.float16
det_df : pandas dataFrame
dataFrame of detector pair indices and angles
e_bin_edges : ndarray
One-dimensional array of energy bin edges
disable_tqdm : bool, optional
Flag to disable tqdm progress bar
Returns
-------
bhm_e : ndarray
Same as input, but filled with event information from bicorr_data
"""
dict_pair_to_index, dict_index_to_pair, dict_pair_to_angle = bicorr.build_dict_det_pair(det_df)
e_min = np.min(e_bin_edges)
e_max = np.max(e_bin_edges)
e_step = e_bin_edges[1]-e_bin_edges[0]
for i in tqdm(np.arange(bicorr_data.shape[0]),ascii=True,disable=False):
event = bicorr_data[i]
det1t = event['det1t']; det2t = event['det2t'];
logic = np.logical_and([det1t > 0, event['det1par'] == 1], [det2t>0, event['det2par'] == 1])
if np.logical_and(logic[0],logic[1]): # nn with both t > 0
det1dist = dict_det_dist[event['det1ch']]
det2dist = dict_det_dist[event['det2ch']]
det1e = bicorr.convert_time_to_energy(det1t, det1dist)
det2e = bicorr.convert_time_to_energy(det2t, det2dist)
# Check that they are in range of the histogram
if np.logical_and(e_min < det1e < e_max, e_min < det2e < e_max):
# Determine index of detector pairs
pair_i = dict_pair_to_index[event['det1ch']*100+event['det2ch']]
# Determine indices of energy values
e1_i = int(np.floor((det1e-e_min)/e_step))
e2_i = int(np.floor((det2e-e_min)/e_step))
# Increment bhm_e
pair_i = dict_pair_to_index[event['det1ch']*100+event['det2ch']]
bhm_e[pair_i,0,e1_i,e2_i] += 1
return bhm_e
In [23]:
bhm_e = bicorr_e.alloc_bhm_e(num_det_pairs, num_intn_types, num_e_bins)
bhm_e = bicorr_e.fill_bhm_e(bhm_e, bicorr_data, det_df, dict_det_dist, e_bin_edges, disable_tqdm = False)
100%|##########| 695/695 [00:00<00:00, 15434.77it/s]
Skipping step 5. I am not going to convert to sparse matrix because the file size will be small anyway.
In [152]:
bhm_e.shape
Out[152]:
(990, 1, 600, 600)
What do I need to save? Mostly the same stuff but in energy units.
In [24]:
save_filename = r'../datar/1/bhm_e'
note = 'Here is my note'
np.savez(save_filename, bhm_e = bhm_e, e_bin_edges=e_bin_edges, note = note)
In [8]:
bicorr_e.save_bhm_e(bhm_e, e_bin_edges, r'../datar/1/')
In [5]:
load_filename = r'../datar/1/bhm_e.npz'
bhm_e = np.load(load_filename)['bhm_e']
e_bin_edges = np.load(load_filename)['e_bin_edges']
note = np.load(load_filename)['note']
In [8]:
print(bhm_e.shape)
print(e_bin_edges.shape)
print(note)
(990, 1, 600, 600)
(601,)
note
In [7]:
bhm_e, e_bin_edges, note = bicorr_e.load_bhm_e(r'../datar/1/')
In [9]:
help(bicorr_e.save_bhm_e)
Help on function save_bhm_e in module bicorr_e:
save_bhm_e(bhm_e, e_bin_edges, save_folder=None, bhm_e_filename='bhm_e', note='note')
Save bhm_e to .npz file. (Reload using load_bhm_e function)
Parameters
----------
bhm_e : ndarray
Master histogram of bicorrelation events in energy space.
Dimension 0: detector pair, use dictionary 'dict_pair_to_index', where pair is (100*det1ch+det2ch)
Dimension 1: interaction type, length 1. Only storing 0=nn.
Dimension 2: e bin for detector 1
Dimension 3: e bin for detector 2
e_bin_edges : ndarray
One-dimensional array of energy bin edges
save_folder : str, optional
Optional destination folder. If None, then save in current working directory
bhm_e_filename : str, optional
Filename
note : str, optional
Note to include
Returns
-------
n/a
I need to pull the bicorr files from many folders and produce bhm_e along with bhm.
If I were going to reproduce bhm from the beginning, I would modify build_bhm to include another line of generating bhm_e. In this case, though, I am only going to produce bhm_e so I will write a separate function.
In [5]:
help(bicorr_e.build_bhm_e)
Help on function build_bhm_e in module bicorr_e:
build_bhm_e(folder_start=1, folder_end=2, det_df=None, dict_det_dist=None, e_bin_edges=None, checkpoint_flag=True, save_flag=True, bhm_e_filename='bhm_e', root_path=None, disable_tqdm=False, print_flag=True, return_flag=True)
Load bicorr_data from folder's bicorr# file and fill energy histogram. Loop through folders specified by `folder_start` and `folder_end`. Built for e_bin_edges generated using default settings in bicorr.build_energy_bin_edges().
Parameters
----------
folder_start : int, optional
First folder
folder_end : int, optional
Last folder + 1 (for example, folder_end = 2 will end at folder 1)
det_df : pandas dataFrame, optional
dataFrame of detector pair indices and angles
Default is to look for the file in '../meas_info/det_df_pairs_angles.csv'
dict_det_dist : dict
Dictionary of detector channel number : distance from fc
Default is to look for the file in '../meas_info/detector_distances.xlsx'
e_bin_edges : ndarray, optional
Edges of energy bin array in MeV
If None, use default settings from build_energy_bin_edges()
checkpoint_flag : bool, optional
Generate checkpoint plots?
save_flag : bool, optional
Save sparse matrix to disk?
bhm_e_filename : str, optional
Filename for bhm_e array
root_path : int, optional
Relative path to folder where data folders exist (1, 2, 3, etc.). default = cwd
disable_tqdm : bool, optional
Flag to disable tqdm progress bar
print_flag : bool, optional
Print status updates along the way?
return_flag : bool, optional
Option to return bhm_e and e_bin_edges. Otherwise, return nothing.
Returns
-------
bhm_e : ndarray
Master histogram of bicorrelation events in energy space.
Dimension 0: detector pair, use dictionary 'dict_pair_to_index', where pair is (100*det1ch+det2ch)
Dimension 1: interaction type, length 1. Only storing 0=nn.
Dimension 2: e bin for detector 1
Dimension 3: e bin for detector 2
e_bin_edges : ndarray
One-dimensional array of energy bin edges
In [9]:
bhm_e, e_bin_edges = bicorr_e.build_bhm_e(1,3,root_path = '../datar/')
Generating bicorr histogram for bicorr data in folders: [1 2]
Loading data in folder 1
Building bhm in folder 1
100%|##########| 695/695 [00:00<00:00, 21774.19it/s]
Loading data in folder 2
Building bhm in folder 2
100%|##########| 695/695 [00:00<00:00, 25810.30it/s]
Saving bhm_e to .npz file
Bicorr hist master bhm_e build complete
In [5]:
help(bicorr_e.load_bhm_e)
Help on function load_bhm_e in module bicorr_e:
load_bhm_e(filepath=None, filename=None)
Load .npz file containing `bhm_e`, `e_bin_edges`, and `note`. This file was probably generated by the function `save_bhm_e`.
Parameters
----------
filepath : str, optional
Where is the `bhm_e.npz` file? If None, look in current directory
filename : str, optional
What is the file called? If None, then look for `bhm_e.npz`
Returns
-------
bhm_e : ndarray
Master histogram of bicorrelation events in energy space.
Dimension 0: detector pair, use dictionary 'dict_pair_to_index', where pair is (100*det1ch+det2ch)
Dimension 1: interaction type, length 1. Only storing 0=nn.
Dimension 2: e bin for detector 1
Dimension 3: e bin for detector 2
e_bin_edges : ndarray
One-dimensional array of energy bin edges
note : str, optional
Note to include
In [10]:
bhm_e, e_bin_edges, note = bicorr_e.load_bhm_e()
In [11]:
note
Out[11]:
array('bhm_e generated from folder 1 to 3 in directory C:\\Users\\pfsch\\Box Sync\\Projects\\fnpc\\methods',
dtype='<U93')
I call this a win. Moving on.
In [ ]:
Content source: pfschus/fission_bicorrelation
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