BS_20190112_042331_raw01 - Day 3

REVISION DATE: 28-Jan-2019 10:40:01

Exerimental BS or RS data starting to put data into new Vaux setup.

Table caption: BS03 Data
Dataset# Filename / Fit# Type file creation date Total Exposure Time Tracks on Temperature Pre Amplifier Gain Matrix Max (ADU) Matrix Mean (ADU) Matrix % std
1 BS_20190112_042331_raw01 / 001 Dark 12-Jan-2019 04:23:31 5 6 -60 4 4024 3981.0395 0.21151
1 BS_20190112_042331_raw01 / 002 Dark 12-Jan-2019 04:23:39 5 6 -60 4 4034 3984.3152 0.21436
1 BS_20190112_042331_raw01 / 001 Lite 12-Jan-2019 04:23:50 5 6 -60 4 46912 4668.8019 82.6282
1 BS_20190112_042331_raw01 / 002 Lite 12-Jan-2019 04:23:57 5 6 -60 4 46928 4670.7444 82.6031
1 BS_20190112_042331_raw01 / 003 Lite 12-Jan-2019 04:24:05 5 6 -60 4 46820 4671.9232 82.6075
1 BS_20190112_042331_raw01 / 004 Lite 12-Jan-2019 04:24:12 5 6 -60 4 46929 4672.4813 82.5906
1 BS_20190112_042331_raw01 / 003 Dark 12-Jan-2019 04:24:23 5 6 -60 4 4039 3988.6045 0.21827
1 BS_20190112_042331_raw01 / 004 Dark 12-Jan-2019 04:24:31 5 6 -60 4 4044 3989.3074 0.21974
2 BS_20190112_042331_raw01 / 005 Dark 12-Jan-2019 04:25:16 5 6 -60 4 4032 3983.827 0.21374
2 BS_20190112_042331_raw01 / 006 Dark 12-Jan-2019 04:25:23 5 6 -60 4 4034 3986.2231 0.21648
2 BS_20190112_042331_raw01 / 005 Lite 12-Jan-2019 04:25:34 5 6 -60 4 46807 4670.5167 82.6082
2 BS_20190112_042331_raw01 / 006 Lite 12-Jan-2019 04:25:42 5 6 -60 4 46897 4671.8845 82.599
2 BS_20190112_042331_raw01 / 007 Lite 12-Jan-2019 04:25:49 5 6 -60 4 46995 4672.744 82.5839
2 BS_20190112_042331_raw01 / 008 Lite 12-Jan-2019 04:25:57 5 6 -60 4 46848 4673.3498 82.5737
2 BS_20190112_042331_raw01 / 007 Dark 12-Jan-2019 04:26:08 5 6 -60 4 4039 3989.3343 0.21869
2 BS_20190112_042331_raw01 / 008 Dark 12-Jan-2019 04:26:15 5 6 -60 4 4045 3989.8179 0.22028
3 BS_20190112_042331_raw01 / 009 Dark 12-Jan-2019 04:27:01 5 6 -60 4 4036 3983.8978 0.21353
3 BS_20190112_042331_raw01 / 010 Dark 12-Jan-2019 04:27:09 5 6 -60 4 4035 3986.6821 0.21598
3 BS_20190112_042331_raw01 / 009 Lite 12-Jan-2019 04:27:20 5 6 -60 4 46988 4670.8448 82.593
3 BS_20190112_042331_raw01 / 010 Lite 12-Jan-2019 04:27:27 5 6 -60 4 47013 4672.2958 82.5758
3 BS_20190112_042331_raw01 / 011 Lite 12-Jan-2019 04:27:35 5 6 -60 4 46908 4673.1704 82.5835
3 BS_20190112_042331_raw01 / 012 Lite 12-Jan-2019 04:27:43 5 6 -60 4 46954 4673.7554 82.5762
3 BS_20190112_042331_raw01 / 011 Dark 12-Jan-2019 04:27:53 5 6 -60 4 4042 3989.8646 0.21772
3 BS_20190112_042331_raw01 / 012 Dark 12-Jan-2019 04:28:01 5 6 -60 4 4046 3990.2507 0.21983
4 BS_20190112_042331_raw01 / 013 Dark 12-Jan-2019 04:28:45 5 6 -60 4 5958 3984.2995 0.22657
4 BS_20190112_042331_raw01 / 014 Dark 12-Jan-2019 04:28:53 5 6 -60 4 9891 3986.9373 0.31779
4 BS_20190112_042331_raw01 / 013 Lite 12-Jan-2019 04:29:04 5 6 -60 4 46861 4671.0228 82.5996
4 BS_20190112_042331_raw01 / 014 Lite 12-Jan-2019 04:29:11 5 6 -60 4 46767 4672.6227 82.5794
4 BS_20190112_042331_raw01 / 015 Lite 12-Jan-2019 04:29:19 5 6 -60 4 47084 4673.5312 82.5848
4 BS_20190112_042331_raw01 / 016 Lite 12-Jan-2019 04:29:26 5 6 -60 4 47028 4674.1425 82.5806
4 BS_20190112_042331_raw01 / 015 Dark 12-Jan-2019 04:29:37 5 6 -60 4 4047 3989.8553 0.21771
4 BS_20190112_042331_raw01 / 016 Dark 12-Jan-2019 04:29:45 5 6 -60 4 4967 3990.3151 0.22444
5 BS_20190112_042331_raw01 / 017 Dark 12-Jan-2019 04:30:31 5 6 -60 4 4031 3984.3628 0.21293
5 BS_20190112_042331_raw01 / 018 Dark 12-Jan-2019 04:30:38 5 6 -60 4 4033 3986.6905 0.21537
5 BS_20190112_042331_raw01 / 017 Lite 12-Jan-2019 04:30:49 5 6 -60 4 46962 4671.1665 82.5907
5 BS_20190112_042331_raw01 / 018 Lite 12-Jan-2019 04:30:57 5 6 -60 4 46857 4672.8762 82.5915
5 BS_20190112_042331_raw01 / 019 Lite 12-Jan-2019 04:31:04 5 6 -60 4 47174 4673.7193 82.5857
5 BS_20190112_042331_raw01 / 020 Lite 12-Jan-2019 04:31:12 5 6 -60 4 46891 4674.4556 82.5846
5 BS_20190112_042331_raw01 / 019 Dark 12-Jan-2019 04:31:23 5 6 -60 4 4042 3989.9718 0.21742
5 BS_20190112_042331_raw01 / 020 Dark 12-Jan-2019 04:31:30 5 6 -60 4 4038 3990.4662 0.21891
6 BS_20190112_042331_raw01 / 021 Dark 12-Jan-2019 04:44:49 5 6 -60 4 4028 3979.4833 0.22026
6 BS_20190112_042331_raw01 / 022 Dark 12-Jan-2019 04:44:57 5 6 -60 4 6249 3985.1631 0.22303
6 BS_20190112_042331_raw01 / 021 Lite 12-Jan-2019 04:45:08 5 6 -60 4 46550 4666.2904 82.13
6 BS_20190112_042331_raw01 / 022 Lite 12-Jan-2019 04:45:16 5 6 -60 4 46534 4668.4388 82.1193
6 BS_20190112_042331_raw01 / 023 Lite 12-Jan-2019 04:45:23 5 6 -60 4 46780 4669.6776 82.1085
6 BS_20190112_042331_raw01 / 024 Lite 12-Jan-2019 04:45:31 5 6 -60 4 46722 4670.6354 82.0975
6 BS_20190112_042331_raw01 / 023 Dark 12-Jan-2019 04:45:42 5 6 -60 4 4038 3990.4529 0.21439
6 BS_20190112_042331_raw01 / 024 Dark 12-Jan-2019 04:45:49 5 6 -60 4 4046 3991.4089 0.21564
7 BS_20190112_042331_raw01 / 025 Dark 12-Jan-2019 04:46:34 5 6 -60 4 4035 3984.6242 0.21419
7 BS_20190112_042331_raw01 / 026 Dark 12-Jan-2019 04:46:42 5 6 -60 4 4036 3987.5245 0.21221
7 BS_20190112_042331_raw01 / 025 Lite 12-Jan-2019 04:46:52 5 6 -60 4 46663 4668.1988 82.1212
7 BS_20190112_042331_raw01 / 026 Lite 12-Jan-2019 04:47:00 5 6 -60 4 46703 4669.8315 82.1169
7 BS_20190112_042331_raw01 / 027 Lite 12-Jan-2019 04:47:08 5 6 -60 4 46737 4670.7836 82.1066
7 BS_20190112_042331_raw01 / 028 Lite 12-Jan-2019 04:47:15 5 6 -60 4 46646 4671.4863 82.0957
7 BS_20190112_042331_raw01 / 027 Dark 12-Jan-2019 04:47:26 5 6 -60 4 4038 3991.1408 0.21479
7 BS_20190112_042331_raw01 / 028 Dark 12-Jan-2019 04:47:34 5 6 -60 4 4044 3991.8717 0.21591
8 BS_20190112_042331_raw01 / 029 Dark 12-Jan-2019 04:48:28 5 6 -60 4 4030 3983.6118 0.21656
8 BS_20190112_042331_raw01 / 030 Dark 12-Jan-2019 04:48:36 5 6 -60 4 4036 3987.1955 0.21226
8 BS_20190112_042331_raw01 / 029 Lite 12-Jan-2019 04:48:46 5 6 -60 4 46541 4667.9365 82.1268
8 BS_20190112_042331_raw01 / 030 Lite 12-Jan-2019 04:48:54 5 6 -60 4 46679 4669.7712 82.12
8 BS_20190112_042331_raw01 / 031 Lite 12-Jan-2019 04:49:02 5 6 -60 4 46574 4670.813 82.1121
8 BS_20190112_042331_raw01 / 032 Lite 12-Jan-2019 04:49:09 5 6 -60 4 46662 4671.8248 82.1115
8 BS_20190112_042331_raw01 / 031 Dark 12-Jan-2019 04:49:20 5 6 -60 4 4042 3991.0689 0.21425
8 BS_20190112_042331_raw01 / 032 Dark 12-Jan-2019 04:49:28 5 6 -60 4 5258 3991.7955 0.21885
9 BS_20190112_042331_raw01 / 033 Dark 12-Jan-2019 04:50:15 5 6 -60 4 4033 3984.1387 0.2164
9 BS_20190112_042331_raw01 / 034 Dark 12-Jan-2019 04:50:23 5 6 -60 4 5328 3987.635 0.22456
9 BS_20190112_042331_raw01 / 033 Lite 12-Jan-2019 04:50:34 5 6 -60 4 46726 4668.3109 82.1335
9 BS_20190112_042331_raw01 / 034 Lite 12-Jan-2019 04:50:41 5 6 -60 4 46815 4669.9709 82.1172
9 BS_20190112_042331_raw01 / 035 Lite 12-Jan-2019 04:50:49 5 6 -60 4 46521 4671.2202 82.1176
9 BS_20190112_042331_raw01 / 036 Lite 12-Jan-2019 04:50:57 5 6 -60 4 46807 4671.8739 82.1118
9 BS_20190112_042331_raw01 / 035 Dark 12-Jan-2019 04:51:08 5 6 -60 4 4042 3991.312 0.21406
9 BS_20190112_042331_raw01 / 036 Dark 12-Jan-2019 04:51:15 5 6 -60 4 4046 3991.9783 0.21516
10 BS_20190112_042331_raw01 / 037 Dark 12-Jan-2019 05:02:38 5 6 -60 4 4025 3978.2672 0.21121
10 BS_20190112_042331_raw01 / 038 Dark 12-Jan-2019 05:02:46 5 6 -60 4 4037 3983.5128 0.21969
10 BS_20190112_042331_raw01 / 037 Lite 12-Jan-2019 05:02:56 5 6 -60 4 46537 4662.2123 81.8978
10 BS_20190112_042331_raw01 / 038 Lite 12-Jan-2019 05:03:04 5 6 -60 4 46480 4666.3305 81.8495
10 BS_20190112_042331_raw01 / 039 Lite 12-Jan-2019 05:03:12 5 6 -60 4 46631 4668.4303 81.8203
10 BS_20190112_042331_raw01 / 040 Lite 12-Jan-2019 05:03:19 5 6 -60 4 46485 4669.6392 81.7994
10 BS_20190112_042331_raw01 / 039 Dark 12-Jan-2019 05:03:30 5 6 -60 4 4040 3991.7166 0.21231
10 BS_20190112_042331_raw01 / 040 Dark 12-Jan-2019 05:03:38 5 6 -60 4 4046 3992.6132 0.21238
11 BS_20190112_042331_raw01 / 041 Dark 12-Jan-2019 05:04:25 5 6 -60 4 4030 3982.2708 0.2179
11 BS_20190112_042331_raw01 / 042 Dark 12-Jan-2019 05:04:32 5 6 -60 4 4032 3987.4136 0.2167
11 BS_20190112_042331_raw01 / 041 Lite 12-Jan-2019 05:04:43 5 6 -60 4 46497 4665.2357 81.8516
11 BS_20190112_042331_raw01 / 042 Lite 12-Jan-2019 05:04:51 5 6 -60 4 46591 4668.4032 81.8301
11 BS_20190112_042331_raw01 / 043 Lite 12-Jan-2019 05:04:58 5 6 -60 4 46488 4669.7732 81.8144
11 BS_20190112_042331_raw01 / 044 Lite 12-Jan-2019 05:05:06 5 6 -60 4 46516 4670.6142 81.8048
11 BS_20190112_042331_raw01 / 043 Dark 12-Jan-2019 05:05:17 5 6 -60 4 4045 3992.0969 0.21233
11 BS_20190112_042331_raw01 / 044 Dark 12-Jan-2019 05:05:25 5 6 -60 4 4769 3992.8148 0.21403
12 BS_20190112_042331_raw01 / 045 Dark 12-Jan-2019 05:06:12 5 6 -60 4 4029 3982.1867 0.21784
12 BS_20190112_042331_raw01 / 046 Dark 12-Jan-2019 05:06:19 5 6 -60 4 8266 3987.3965 0.25123
12 BS_20190112_042331_raw01 / 045 Lite 12-Jan-2019 05:06:30 5 6 -60 4 46752 4665.5276 81.8778
12 BS_20190112_042331_raw01 / 046 Lite 12-Jan-2019 05:06:38 5 6 -60 4 46673 4668.462 81.826
12 BS_20190112_042331_raw01 / 047 Lite 12-Jan-2019 05:06:46 5 6 -60 4 46375 4669.9271 81.8131
12 BS_20190112_042331_raw01 / 048 Lite 12-Jan-2019 05:06:53 5 6 -60 4 46744 4670.7784 81.8083
12 BS_20190112_042331_raw01 / 047 Dark 12-Jan-2019 05:07:04 5 6 -60 4 4041 3992.3276 0.21181
12 BS_20190112_042331_raw01 / 048 Dark 12-Jan-2019 05:07:12 5 6 -60 4 4043 3993.1394 0.2122
13 BS_20190112_042331_raw01 / 049 Dark 12-Jan-2019 05:08:02 5 6 -60 4 4035 3981.9351 0.21693
13 BS_20190112_042331_raw01 / 050 Dark 12-Jan-2019 05:08:09 5 6 -60 4 4041 3987.1261 0.21904
13 BS_20190112_042331_raw01 / 049 Lite 12-Jan-2019 05:08:20 5 6 -60 4 46493 4665.279 81.8827
13 BS_20190112_042331_raw01 / 050 Lite 12-Jan-2019 05:08:28 5 6 -60 4 46617 4668.3492 81.8319
13 BS_20190112_042331_raw01 / 051 Lite 12-Jan-2019 05:08:35 5 6 -60 4 46454 4670.0841 81.819
13 BS_20190112_042331_raw01 / 052 Lite 12-Jan-2019 05:08:43 5 6 -60 4 46651 4671.1177 81.8185
13 BS_20190112_042331_raw01 / 051 Dark 12-Jan-2019 05:08:54 5 6 -60 4 4966 3992.3498 0.22861
13 BS_20190112_042331_raw01 / 052 Dark 12-Jan-2019 05:09:01 5 6 -60 4 4041 3993.1853 0.21185
14 BS_20190112_042331_raw01 / 053 Dark 12-Jan-2019 05:17:37 5 6 -60 4 4024 3978.8539 0.21072
14 BS_20190112_042331_raw01 / 054 Dark 12-Jan-2019 05:17:45 5 6 -60 4 4963 3982.4069 0.21485
14 BS_20190112_042331_raw01 / 053 Lite 12-Jan-2019 05:17:56 5 6 -60 4 46732 4664.9345 82.2712
14 BS_20190112_042331_raw01 / 054 Lite 12-Jan-2019 05:18:03 5 6 -60 4 46810 4668.3021 82.2323
14 BS_20190112_042331_raw01 / 055 Lite 12-Jan-2019 05:18:11 5 6 -60 4 46855 4670.913 82.1974
14 BS_20190112_042331_raw01 / 056 Lite 12-Jan-2019 05:18:19 5 6 -60 4 46867 4672.5464 82.171
14 BS_20190112_042331_raw01 / 055 Dark 12-Jan-2019 05:18:29 5 6 -60 4 5707 3991.5989 0.22813
14 BS_20190112_042331_raw01 / 056 Dark 12-Jan-2019 05:18:37 5 6 -60 4 4046 3993.2013 0.21284
15 BS_20190112_042331_raw01 / 057 Dark 12-Jan-2019 05:19:36 5 6 -60 4 4987 3980.8685 0.21191
15 BS_20190112_042331_raw01 / 058 Dark 12-Jan-2019 05:19:43 5 6 -60 4 5655 3984.854 0.2251
15 BS_20190112_042331_raw01 / 057 Lite 12-Jan-2019 05:19:54 5 6 -60 4 46810 4666.7279 82.2507
15 BS_20190112_042331_raw01 / 058 Lite 12-Jan-2019 05:20:02 5 6 -60 4 46711 4669.9364 82.2105
15 BS_20190112_042331_raw01 / 059 Lite 12-Jan-2019 05:20:09 5 6 -60 4 46635 4672.6308 82.1903
15 BS_20190112_042331_raw01 / 060 Lite 12-Jan-2019 05:20:17 5 6 -60 4 46684 4673.9993 82.1616
15 BS_20190112_042331_raw01 / 059 Dark 12-Jan-2019 05:20:28 5 6 -60 4 4043 3992.2055 0.21568
15 BS_20190112_042331_raw01 / 060 Dark 12-Jan-2019 05:20:36 5 6 -60 4 4048 3993.4985 0.21269
16 BS_20190112_042331_raw01 / 061 Dark 12-Jan-2019 05:21:48 5 6 -60 4 4029 3980.4133 0.21058
16 BS_20190112_042331_raw01 / 062 Dark 12-Jan-2019 05:21:56 5 6 -60 4 4031 3983.9973 0.21446
16 BS_20190112_042331_raw01 / 061 Lite 12-Jan-2019 05:22:06 5 6 -60 4 46763 4666.5239 82.2605
16 BS_20190112_042331_raw01 / 062 Lite 12-Jan-2019 05:22:14 5 6 -60 4 46722 4669.4024 82.2228
16 BS_20190112_042331_raw01 / 063 Lite 12-Jan-2019 05:22:22 5 6 -60 4 46786 4671.9239 82.1962
16 BS_20190112_042331_raw01 / 064 Lite 12-Jan-2019 05:22:29 5 6 -60 4 46763 4673.7462 82.1689
16 BS_20190112_042331_raw01 / 063 Dark 12-Jan-2019 05:22:40 5 6 -60 4 4043 3992.0421 0.21736
16 BS_20190112_042331_raw01 / 064 Dark 12-Jan-2019 05:22:48 5 6 -60 4 4044 3993.5836 0.21372
17 BS_20190112_042331_raw01 / 065 Dark 12-Jan-2019 05:23:53 5 6 -60 4 4033 3980.6376 0.21048
17 BS_20190112_042331_raw01 / 066 Dark 12-Jan-2019 05:24:01 5 6 -60 4 4038 3984.3588 0.21471
17 BS_20190112_042331_raw01 / 065 Lite 12-Jan-2019 05:24:12 5 6 -60 4 46508 4666.5776 82.2695
17 BS_20190112_042331_raw01 / 066 Lite 12-Jan-2019 05:24:19 5 6 -60 4 46527 4669.5959 82.2304
17 BS_20190112_042331_raw01 / 067 Lite 12-Jan-2019 05:24:27 5 6 -60 4 46906 4671.9286 82.1912
17 BS_20190112_042331_raw01 / 068 Lite 12-Jan-2019 05:24:34 5 6 -60 4 46730 4673.685 82.1807
17 BS_20190112_042331_raw01 / 067 Dark 12-Jan-2019 05:24:45 5 6 -60 4 4038 3992.0862 0.21786
17 BS_20190112_042331_raw01 / 068 Dark 12-Jan-2019 05:24:53 5 6 -60 4 4039 3993.6988 0.21381
18 BS_20190112_042331_raw01 / 069 Dark 12-Jan-2019 05:31:10 5 6 -60 4 4024 3979.0472 0.21125
18 BS_20190112_042331_raw01 / 070 Dark 12-Jan-2019 05:31:18 5 6 -60 4 4031 3982.6675 0.21041
18 BS_20190112_042331_raw01 / 069 Lite 12-Jan-2019 05:31:29 5 6 -60 4 47211 4671.7486 82.9434
18 BS_20190112_042331_raw01 / 070 Lite 12-Jan-2019 05:31:36 5 6 -60 4 47055 4674.3309 82.9198
18 BS_20190112_042331_raw01 / 071 Lite 12-Jan-2019 05:31:44 5 6 -60 4 47398 4676.384 82.8945
18 BS_20190112_042331_raw01 / 072 Lite 12-Jan-2019 05:31:52 5 6 -60 4 47327 4677.9054 82.8584
18 BS_20190112_042331_raw01 / 071 Dark 12-Jan-2019 05:32:03 5 6 -60 4 4039 3990.4064 0.22009
18 BS_20190112_042331_raw01 / 072 Dark 12-Jan-2019 05:32:10 5 6 -60 4 4040 3992.5723 0.21894
19 BS_20190112_042331_raw01 / 073 Dark 12-Jan-2019 05:32:54 5 6 -60 4 4030 3982.3844 0.21021
19 BS_20190112_042331_raw01 / 074 Dark 12-Jan-2019 05:33:02 5 6 -60 4 4034 3985.6503 0.21336
19 BS_20190112_042331_raw01 / 073 Lite 12-Jan-2019 05:33:12 5 6 -60 4 47021 4673.9967 82.9113
19 BS_20190112_042331_raw01 / 074 Lite 12-Jan-2019 05:33:20 5 6 -60 4 47002 4676.5117 82.8733
19 BS_20190112_042331_raw01 / 075 Lite 12-Jan-2019 05:33:28 5 6 -60 4 46998 4678.2992 82.8499
19 BS_20190112_042331_raw01 / 076 Lite 12-Jan-2019 05:33:35 5 6 -60 4 47138 4679.6834 82.8394
19 BS_20190112_042331_raw01 / 075 Dark 12-Jan-2019 05:33:46 5 6 -60 4 4036 3991.6791 0.22013
19 BS_20190112_042331_raw01 / 076 Dark 12-Jan-2019 05:33:54 5 6 -60 4 4038 3993.6769 0.21786
20 BS_20190112_042331_raw01 / 077 Dark 12-Jan-2019 05:34:57 5 6 -60 4 4028 3981.3154 0.21089
20 BS_20190112_042331_raw01 / 078 Dark 12-Jan-2019 05:35:05 5 6 -60 4 4032 3984.6837 0.21102
20 BS_20190112_042331_raw01 / 077 Lite 12-Jan-2019 05:35:16 5 6 -60 4 47313 4673.2223 82.9233
20 BS_20190112_042331_raw01 / 078 Lite 12-Jan-2019 05:35:23 5 6 -60 4 47204 4675.9151 82.9039
20 BS_20190112_042331_raw01 / 079 Lite 12-Jan-2019 05:35:31 5 6 -60 4 47250 4677.8049 82.8831
20 BS_20190112_042331_raw01 / 080 Lite 12-Jan-2019 05:35:39 5 6 -60 4 47158 4679.135 82.8523
20 BS_20190112_042331_raw01 / 079 Dark 12-Jan-2019 05:35:50 5 6 -60 4 4044 3991.3397 0.21975
20 BS_20190112_042331_raw01 / 080 Dark 12-Jan-2019 05:35:57 5 6 -60 4 4045 3993.2736 0.219
21 BS_20190112_042331_raw01 / 081 Dark 12-Jan-2019 05:36:51 5 6 -60 4 4034 3981.9545 0.21072
21 BS_20190112_042331_raw01 / 082 Dark 12-Jan-2019 05:36:58 5 6 -60 4 4858 3984.9421 0.21477
21 BS_20190112_042331_raw01 / 081 Lite 12-Jan-2019 05:37:09 5 6 -60 4 47326 4673.7064 82.9287
21 BS_20190112_042331_raw01 / 082 Lite 12-Jan-2019 05:37:17 5 6 -60 4 47256 4676.0825 82.9018
21 BS_20190112_042331_raw01 / 083 Lite 12-Jan-2019 05:37:24 5 6 -60 4 46983 4677.747 82.8755
21 BS_20190112_042331_raw01 / 084 Lite 12-Jan-2019 05:37:32 5 6 -60 4 47194 4679.3933 82.8524
21 BS_20190112_042331_raw01 / 083 Dark 12-Jan-2019 05:37:43 5 6 -60 4 5702 3991.4469 0.22418
21 BS_20190112_042331_raw01 / 084 Dark 12-Jan-2019 05:37:51 5 6 -60 4 4050 3993.3246 0.21864
Grouped Image file: BS_20190112_N001_grouped.html
Grouped Image file: BS_20190112_N002_grouped.html
Grouped Image file: BS_20190112_N003_grouped.html
Grouped Image file: BS_20190112_N005_grouped.html
Grouped Image file: BS_20190112_N006_grouped.html
Grouped Image file: BS_20190112_N007_grouped.html
Grouped Image file: BS_20190112_N009_grouped.html
Grouped Image file: BS_20190112_N020_grouped.html
Grouped Image file: BS_20190112_N022_grouped.html
image

Figure 1A: Mikes Lamp monitoring log files. One shows the whole data set and one shows only the data with FITS files. black * is the number from Mikes logsheet.

image

Figure 2A:


Graphs below are of the Nets for a dataset. A dataset is a group of dark-lite-dark files that Mike says in his logsheet are collected together. One net = darks before and after averaged then , lights averaged, then avg_lite-avg_dark and the avg_net divided by intergration time for each track.
image

Figure 1B: All the net data sets with a track illuminated. This shows ALL the net tracks with light on them.

image

Figure 2B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 3B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 4B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 5B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 6B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 7B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 8B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 9B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 10B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 11B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 12B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 13B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 14B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 15B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 16B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 17B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 18B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 19B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 20B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 21B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 22B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.


pwd: E:\zflora\mldata2\mobyrefresh\characterization\Hawaii-2019-01\BS3cal
Date: 28-Jan-2019 10:40:20
Created from mkhtml2_(1)