BS_20190116_025244_raw01 - Day 5

REVISION DATE: 28-Jan-2019 10:42:08

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_20190116_025244_raw01 / 001 Dark 16-Jan-2019 02:52:44 15 9 -60 4 10939 3995.2298 0.2793
1 BS_20190116_025244_raw01 / 002 Dark 16-Jan-2019 02:53:02 15 9 -60 4 4060 3999.5619 0.22518
1 BS_20190116_025244_raw01 / 001 Lite 16-Jan-2019 02:53:23 15 9 -60 4 32926 4577.7377 66.5278
1 BS_20190116_025244_raw01 / 002 Lite 16-Jan-2019 02:53:40 15 9 -60 4 32856 4578.9558 66.5249
1 BS_20190116_025244_raw01 / 003 Lite 16-Jan-2019 02:53:58 15 9 -60 4 32973 4579.5878 66.5212
1 BS_20190116_025244_raw01 / 004 Lite 16-Jan-2019 02:54:15 15 9 -60 4 32938 4579.9674 66.5253
1 BS_20190116_025244_raw01 / 003 Dark 16-Jan-2019 02:54:36 15 9 -60 4 4070 4002.5712 0.23234
1 BS_20190116_025244_raw01 / 004 Dark 16-Jan-2019 02:54:54 15 9 -60 4 4079 4003.0717 0.23353
2 BS_20190116_025244_raw01 / 005 Dark 16-Jan-2019 02:55:26 15 9 -60 4 7932 4000.6234 0.28092
2 BS_20190116_025244_raw01 / 006 Dark 16-Jan-2019 02:55:44 15 9 -60 4 4253 4002.072 0.23029
2 BS_20190116_025244_raw01 / 005 Lite 16-Jan-2019 02:56:04 15 9 -60 4 33042 4579.2087 66.5229
2 BS_20190116_025244_raw01 / 006 Lite 16-Jan-2019 02:56:22 15 9 -60 4 32842 4579.0218 66.5321
2 BS_20190116_025244_raw01 / 007 Lite 16-Jan-2019 02:56:40 15 9 -60 4 33047 4579.8148 66.5162
2 BS_20190116_025244_raw01 / 008 Lite 16-Jan-2019 02:56:57 15 9 -60 4 33055 4580.0579 66.5144
2 BS_20190116_025244_raw01 / 007 Dark 16-Jan-2019 02:57:18 15 9 -60 4 4955 4002.6013 0.2348
2 BS_20190116_025244_raw01 / 008 Dark 16-Jan-2019 02:57:36 15 9 -60 4 4075 4002.9417 0.23422
3 BS_20190116_025244_raw01 / 009 Dark 16-Jan-2019 02:58:08 15 9 -60 4 4055 4000.6321 0.22876
3 BS_20190116_025244_raw01 / 010 Dark 16-Jan-2019 02:58:26 15 9 -60 4 7987 4002.1265 0.26195
3 BS_20190116_025244_raw01 / 009 Lite 16-Jan-2019 02:58:46 15 9 -60 4 32931 4579.4007 66.5303
3 BS_20190116_025244_raw01 / 010 Lite 16-Jan-2019 02:59:04 15 9 -60 4 32997 4579.8422 66.5137
3 BS_20190116_025244_raw01 / 011 Lite 16-Jan-2019 02:59:22 15 9 -60 4 33011 4580.3513 66.5216
3 BS_20190116_025244_raw01 / 012 Lite 16-Jan-2019 02:59:39 15 9 -60 4 32867 4580.4003 66.5203
3 BS_20190116_025244_raw01 / 011 Dark 16-Jan-2019 03:00:00 15 9 -60 4 5279 4002.819 0.23558
3 BS_20190116_025244_raw01 / 012 Dark 16-Jan-2019 03:00:18 15 9 -60 4 4063 4003.1532 0.23312
4 BS_20190116_025244_raw01 / 013 Dark 16-Jan-2019 03:00:52 15 9 -60 4 9742 4000.8623 0.28645
4 BS_20190116_025244_raw01 / 014 Dark 16-Jan-2019 03:01:10 15 9 -60 4 4063 4002.4643 0.22966
4 BS_20190116_025244_raw01 / 013 Lite 16-Jan-2019 03:01:31 15 9 -60 4 33055 4579.7485 66.5194
4 BS_20190116_025244_raw01 / 014 Lite 16-Jan-2019 03:01:48 15 9 -60 4 33052 4580.4285 66.5151
4 BS_20190116_025244_raw01 / 015 Lite 16-Jan-2019 03:02:06 15 9 -60 4 32987 4580.7298 66.5134
4 BS_20190116_025244_raw01 / 016 Lite 16-Jan-2019 03:02:23 15 9 -60 4 32944 4581.0063 66.5115
4 BS_20190116_025244_raw01 / 015 Dark 16-Jan-2019 03:02:44 15 9 -60 4 4057 4003.0864 0.23173
4 BS_20190116_025244_raw01 / 016 Dark 16-Jan-2019 03:03:02 15 9 -60 4 4061 4003.5666 0.23205
5 BS_20190116_025244_raw01 / 017 Dark 16-Jan-2019 03:03:37 15 9 -60 4 4078 4001.1049 0.22696
5 BS_20190116_025244_raw01 / 018 Dark 16-Jan-2019 03:03:54 15 9 -60 4 5182 4002.8022 0.23495
5 BS_20190116_025244_raw01 / 017 Lite 16-Jan-2019 03:04:15 15 9 -60 4 33099 4580.283 66.5195
5 BS_20190116_025244_raw01 / 018 Lite 16-Jan-2019 03:04:33 15 9 -60 4 32977 4580.9663 66.5211
5 BS_20190116_025244_raw01 / 019 Lite 16-Jan-2019 03:04:51 15 9 -60 4 32729 4581.2863 66.5136
5 BS_20190116_025244_raw01 / 020 Lite 16-Jan-2019 03:05:08 15 9 -60 4 33067 4581.3568 66.5155
5 BS_20190116_025244_raw01 / 019 Dark 16-Jan-2019 03:05:29 15 9 -60 4 4059 4003.4772 0.23026
5 BS_20190116_025244_raw01 / 020 Dark 16-Jan-2019 03:05:47 15 9 -60 4 4064 4003.9326 0.23092
6 BS_20190116_025244_raw01 / 021 Dark 16-Jan-2019 03:12:53 15 9 -60 4 4048 3997.0202 0.22048
6 BS_20190116_025244_raw01 / 022 Dark 16-Jan-2019 03:13:10 15 9 -60 4 4055 4001.3748 0.222
6 BS_20190116_025244_raw01 / 021 Lite 16-Jan-2019 03:13:31 15 9 -60 4 32752 4578.552 66.3507
6 BS_20190116_025244_raw01 / 022 Lite 16-Jan-2019 03:13:49 15 9 -60 4 33015 4579.9227 66.348
6 BS_20190116_025244_raw01 / 023 Lite 16-Jan-2019 03:14:06 15 9 -60 4 32784 4580.5845 66.3317
6 BS_20190116_025244_raw01 / 024 Lite 16-Jan-2019 03:14:24 15 9 -60 4 32989 4580.7402 66.3394
6 BS_20190116_025244_raw01 / 023 Dark 16-Jan-2019 03:14:45 15 9 -60 4 6116 4004.258 0.23314
6 BS_20190116_025244_raw01 / 024 Dark 16-Jan-2019 03:15:02 15 9 -60 4 4073 4004.7377 0.22807
7 BS_20190116_025244_raw01 / 025 Dark 16-Jan-2019 03:15:29 15 9 -60 4 5019 4003.1729 0.22991
7 BS_20190116_025244_raw01 / 026 Dark 16-Jan-2019 03:15:47 15 9 -60 4 4062 4004.3886 0.22716
7 BS_20190116_025244_raw01 / 025 Lite 16-Jan-2019 03:16:08 15 9 -60 4 32755 4580.2432 66.3512
7 BS_20190116_025244_raw01 / 026 Lite 16-Jan-2019 03:16:25 15 9 -60 4 32947 4580.8853 66.3491
7 BS_20190116_025244_raw01 / 027 Lite 16-Jan-2019 03:16:43 15 9 -60 4 32844 4581.1334 66.3493
7 BS_20190116_025244_raw01 / 028 Lite 16-Jan-2019 03:17:01 15 9 -60 4 32854 4581.4883 66.3554
7 BS_20190116_025244_raw01 / 027 Dark 16-Jan-2019 03:17:22 15 9 -60 4 5165 4004.5786 0.23289
7 BS_20190116_025244_raw01 / 028 Dark 16-Jan-2019 03:17:39 15 9 -60 4 4060 4005.0224 0.22888
8 BS_20190116_025244_raw01 / 029 Dark 16-Jan-2019 03:18:36 15 9 -60 4 4054 4000.054 0.22132
8 BS_20190116_025244_raw01 / 030 Dark 16-Jan-2019 03:18:54 15 9 -60 4 6672 4003.0908 0.2402
8 BS_20190116_025244_raw01 / 029 Lite 16-Jan-2019 03:19:14 15 9 -60 4 32926 4579.932 66.3611
8 BS_20190116_025244_raw01 / 030 Lite 16-Jan-2019 03:19:32 15 9 -60 4 32903 4580.7804 66.3602
8 BS_20190116_025244_raw01 / 031 Lite 16-Jan-2019 03:19:50 15 9 -60 4 32931 4581.3141 66.3615
8 BS_20190116_025244_raw01 / 032 Lite 16-Jan-2019 03:20:07 15 9 -60 4 32849 4581.5761 66.3604
8 BS_20190116_025244_raw01 / 031 Dark 16-Jan-2019 03:20:28 15 9 -60 4 7753 4004.8396 0.2763
8 BS_20190116_025244_raw01 / 032 Dark 16-Jan-2019 03:20:46 15 9 -60 4 4064 4005.1501 0.22753
9 BS_20190116_025244_raw01 / 033 Dark 16-Jan-2019 03:21:23 15 9 -60 4 6182 4001.919 0.23981
9 BS_20190116_025244_raw01 / 034 Dark 16-Jan-2019 03:21:41 15 9 -60 4 7695 4004.1039 0.26409
9 BS_20190116_025244_raw01 / 033 Lite 16-Jan-2019 03:22:02 15 9 -60 4 32978 4580.7444 66.3642
9 BS_20190116_025244_raw01 / 034 Lite 16-Jan-2019 03:22:19 15 9 -60 4 32918 4581.5667 66.3592
9 BS_20190116_025244_raw01 / 035 Lite 16-Jan-2019 03:22:37 15 9 -60 4 32910 4581.8214 66.3622
9 BS_20190116_025244_raw01 / 036 Lite 16-Jan-2019 03:22:54 15 9 -60 4 32768 4582.1899 66.3703
9 BS_20190116_025244_raw01 / 035 Dark 16-Jan-2019 03:23:15 15 9 -60 4 4891 4005.0094 0.23437
9 BS_20190116_025244_raw01 / 036 Dark 16-Jan-2019 03:23:33 15 9 -60 4 4060 4005.4994 0.2277
10 BS_20190116_025244_raw01 / 037 Dark 16-Jan-2019 03:27:07 15 9 -60 4 4056 3996.4089 0.22671
10 BS_20190116_025244_raw01 / 038 Dark 16-Jan-2019 03:27:25 15 9 -60 4 4079 4002.482 0.22056
10 BS_20190116_025244_raw01 / 037 Lite 16-Jan-2019 03:27:45 15 9 -60 4 32999 4579.6721 66.3393
10 BS_20190116_025244_raw01 / 038 Lite 16-Jan-2019 03:28:03 15 9 -60 4 32783 4580.8077 66.3185
10 BS_20190116_025244_raw01 / 039 Lite 16-Jan-2019 03:28:21 15 9 -60 4 32919 4581.4838 66.3157
10 BS_20190116_025244_raw01 / 040 Lite 16-Jan-2019 03:28:38 15 9 -60 4 32791 4581.9469 66.3156
10 BS_20190116_025244_raw01 / 039 Dark 16-Jan-2019 03:28:59 15 9 -60 4 5562 4005.3226 0.22846
10 BS_20190116_025244_raw01 / 040 Dark 16-Jan-2019 03:29:17 15 9 -60 4 4061 4005.7438 0.22635
11 BS_20190116_025244_raw01 / 041 Dark 16-Jan-2019 03:29:47 15 9 -60 4 4076 4003.6796 0.22353
11 BS_20190116_025244_raw01 / 042 Dark 16-Jan-2019 03:30:04 15 9 -60 4 4065 4005.1223 0.22473
11 BS_20190116_025244_raw01 / 041 Lite 16-Jan-2019 03:30:25 15 9 -60 4 32866 4581.146 66.3324
11 BS_20190116_025244_raw01 / 042 Lite 16-Jan-2019 03:30:43 15 9 -60 4 32888 4581.6687 66.3304
11 BS_20190116_025244_raw01 / 043 Lite 16-Jan-2019 03:31:00 15 9 -60 4 32935 4582.0926 66.3193
11 BS_20190116_025244_raw01 / 044 Lite 16-Jan-2019 03:31:18 15 9 -60 4 32871 4582.4876 66.3245
11 BS_20190116_025244_raw01 / 043 Dark 16-Jan-2019 03:31:39 15 9 -60 4 9470 4005.8598 0.26561
11 BS_20190116_025244_raw01 / 044 Dark 16-Jan-2019 03:31:56 15 9 -60 4 5253 4006.2107 0.23562
12 BS_20190116_025244_raw01 / 045 Dark 16-Jan-2019 03:32:35 15 9 -60 4 4060 4002.6285 0.22178
12 BS_20190116_025244_raw01 / 046 Dark 16-Jan-2019 03:32:53 15 9 -60 4 4070 4004.7947 0.2241
12 BS_20190116_025244_raw01 / 045 Lite 16-Jan-2019 03:33:14 15 9 -60 4 32832 4581.1707 66.3416
12 BS_20190116_025244_raw01 / 046 Lite 16-Jan-2019 03:33:31 15 9 -60 4 32902 4581.963 66.3353
12 BS_20190116_025244_raw01 / 047 Lite 16-Jan-2019 03:33:49 15 9 -60 4 32917 4582.4032 66.3262
12 BS_20190116_025244_raw01 / 048 Lite 16-Jan-2019 03:34:07 15 9 -60 4 33073 4582.6112 66.3255
12 BS_20190116_025244_raw01 / 047 Dark 16-Jan-2019 03:34:27 15 9 -60 4 4069 4005.8547 0.22543
12 BS_20190116_025244_raw01 / 048 Dark 16-Jan-2019 03:34:45 15 9 -60 4 5285 4006.3031 0.23313
13 BS_20190116_025244_raw01 / 049 Dark 16-Jan-2019 03:35:27 15 9 -60 4 19087 4002.3901 0.44717
13 BS_20190116_025244_raw01 / 050 Dark 16-Jan-2019 03:35:45 15 9 -60 4 10035 4004.8006 0.28087
13 BS_20190116_025244_raw01 / 049 Lite 16-Jan-2019 03:36:06 15 9 -60 4 32999 4581.3254 66.3317
13 BS_20190116_025244_raw01 / 050 Lite 16-Jan-2019 03:36:24 15 9 -60 4 32783 4582.2624 66.3341
13 BS_20190116_025244_raw01 / 051 Lite 16-Jan-2019 03:36:41 15 9 -60 4 32858 4582.7869 66.3308
13 BS_20190116_025244_raw01 / 052 Lite 16-Jan-2019 03:36:59 15 9 -60 4 32998 4583.1508 66.3371
13 BS_20190116_025244_raw01 / 051 Dark 16-Jan-2019 03:37:20 15 9 -60 4 4061 4006.1934 0.22468
13 BS_20190116_025244_raw01 / 052 Dark 16-Jan-2019 03:37:37 15 9 -60 4 4070 4006.6535 0.22535
14 BS_20190116_025244_raw01 / 053 Dark 16-Jan-2019 03:46:03 15 9 -60 4 4950 3994.8231 0.22343
14 BS_20190116_025244_raw01 / 054 Dark 16-Jan-2019 03:46:21 15 9 -60 4 4056 4003.4002 0.22171
14 BS_20190116_025244_raw01 / 053 Lite 16-Jan-2019 03:46:42 15 9 -60 4 32639 4577.1177 65.8894
14 BS_20190116_025244_raw01 / 054 Lite 16-Jan-2019 03:46:59 15 9 -60 4 32689 4578.4675 65.8779
14 BS_20190116_025244_raw01 / 055 Lite 16-Jan-2019 03:47:17 15 9 -60 4 32751 4579.2659 65.8771
14 BS_20190116_025244_raw01 / 056 Lite 16-Jan-2019 03:47:35 15 9 -60 4 32837 4579.7116 65.8881
14 BS_20190116_025244_raw01 / 055 Dark 16-Jan-2019 03:47:55 15 9 -60 4 4067 4006.8133 0.22189
14 BS_20190116_025244_raw01 / 056 Dark 16-Jan-2019 03:48:13 15 9 -60 4 4062 4007.3981 0.22304
15 BS_20190116_025244_raw01 / 057 Dark 16-Jan-2019 03:48:41 15 9 -60 4 4083 4005.5376 0.22135
15 BS_20190116_025244_raw01 / 058 Dark 16-Jan-2019 03:48:58 15 9 -60 4 4067 4006.633 0.22235
15 BS_20190116_025244_raw01 / 057 Lite 16-Jan-2019 03:49:19 15 9 -60 4 32623 4578.8684 65.8874
15 BS_20190116_025244_raw01 / 058 Lite 16-Jan-2019 03:49:37 15 9 -60 4 32723 4579.4385 65.89
15 BS_20190116_025244_raw01 / 059 Lite 16-Jan-2019 03:49:54 15 9 -60 4 32856 4579.8789 65.88
15 BS_20190116_025244_raw01 / 060 Lite 16-Jan-2019 03:50:12 15 9 -60 4 32710 4579.9879 65.884
15 BS_20190116_025244_raw01 / 059 Dark 16-Jan-2019 03:50:33 15 9 -60 4 6157 4006.9287 0.234
15 BS_20190116_025244_raw01 / 060 Dark 16-Jan-2019 03:50:50 15 9 -60 4 4086 4007.489 0.22354
16 BS_20190116_025244_raw01 / 061 Dark 16-Jan-2019 03:51:22 15 9 -60 4 4062 4004.9221 0.22115
16 BS_20190116_025244_raw01 / 062 Dark 16-Jan-2019 03:51:40 15 9 -60 4 4065 4006.5505 0.22199
16 BS_20190116_025244_raw01 / 061 Lite 16-Jan-2019 03:52:00 15 9 -60 4 32823 4578.6921 65.8852
16 BS_20190116_025244_raw01 / 062 Lite 16-Jan-2019 03:52:18 15 9 -60 4 32697 4579.5877 65.8886
16 BS_20190116_025244_raw01 / 063 Lite 16-Jan-2019 03:52:36 15 9 -60 4 32584 4579.918 65.8861
16 BS_20190116_025244_raw01 / 064 Lite 16-Jan-2019 03:52:53 15 9 -60 4 32685 4580.1494 65.8839
16 BS_20190116_025244_raw01 / 063 Dark 16-Jan-2019 03:53:14 15 9 -60 4 5027 4007.1403 0.23352
16 BS_20190116_025244_raw01 / 064 Dark 16-Jan-2019 03:53:32 15 9 -60 4 6126 4007.6441 0.23067
17 BS_20190116_025244_raw01 / 065 Dark 16-Jan-2019 03:54:03 15 9 -60 4 4063 4005.1143 0.2208
17 BS_20190116_025244_raw01 / 066 Dark 16-Jan-2019 03:54:21 15 9 -60 4 5475 4006.6012 0.22737
17 BS_20190116_025244_raw01 / 065 Lite 16-Jan-2019 03:54:42 15 9 -60 4 32685 4579.0742 65.8871
17 BS_20190116_025244_raw01 / 066 Lite 16-Jan-2019 03:54:59 15 9 -60 4 32605 4579.8422 65.891
17 BS_20190116_025244_raw01 / 067 Lite 16-Jan-2019 03:55:17 15 9 -60 4 32803 4580.2689 65.886
17 BS_20190116_025244_raw01 / 068 Lite 16-Jan-2019 03:55:34 15 9 -60 4 32788 4580.4148 65.8816
17 BS_20190116_025244_raw01 / 067 Dark 16-Jan-2019 03:55:55 15 9 -60 4 4068 4007.2097 0.22267
17 BS_20190116_025244_raw01 / 068 Dark 16-Jan-2019 03:56:13 15 9 -60 4 4076 4007.6874 0.22334
18 BS_20190116_025244_raw01 / 069 Dark 16-Jan-2019 04:00:34 15 9 -60 4 4045 3994.6683 0.21884
18 BS_20190116_025244_raw01 / 070 Dark 16-Jan-2019 04:00:51 15 9 -60 4 4060 4002.6753 0.22628
18 BS_20190116_025244_raw01 / 069 Lite 16-Jan-2019 04:01:12 15 9 -60 4 32678 4576.1073 65.7845
18 BS_20190116_025244_raw01 / 070 Lite 16-Jan-2019 04:01:30 15 9 -60 4 32713 4578.1897 65.7629
18 BS_20190116_025244_raw01 / 071 Lite 16-Jan-2019 04:01:47 15 9 -60 4 32660 4579.0516 65.7571
18 BS_20190116_025244_raw01 / 072 Lite 16-Jan-2019 04:02:05 15 9 -60 4 32664 4579.5342 65.7707
18 BS_20190116_025244_raw01 / 071 Dark 16-Jan-2019 04:02:26 15 9 -60 4 4080 4007.5881 0.22149
18 BS_20190116_025244_raw01 / 072 Dark 16-Jan-2019 04:02:44 15 9 -60 4 6867 4008.2505 0.24434
19 BS_20190116_025244_raw01 / 073 Dark 16-Jan-2019 04:03:42 15 9 -60 4 4058 3999.7175 0.22704
19 BS_20190116_025244_raw01 / 074 Dark 16-Jan-2019 04:04:00 15 9 -60 4 5059 4005.7727 0.22558
19 BS_20190116_025244_raw01 / 073 Lite 16-Jan-2019 04:04:21 15 9 -60 4 32804 4577.4825 65.7811
19 BS_20190116_025244_raw01 / 074 Lite 16-Jan-2019 04:04:38 15 9 -60 4 32676 4578.8546 65.7697
19 BS_20190116_025244_raw01 / 075 Lite 16-Jan-2019 04:04:56 15 9 -60 4 32526 4579.5903 65.7637
19 BS_20190116_025244_raw01 / 076 Lite 16-Jan-2019 04:05:13 15 9 -60 4 32785 4579.8542 65.768
19 BS_20190116_025244_raw01 / 075 Dark 16-Jan-2019 04:05:34 15 9 -60 4 6461 4007.8793 0.23767
19 BS_20190116_025244_raw01 / 076 Dark 16-Jan-2019 04:05:52 15 9 -60 4 4073 4008.2774 0.22209
20 BS_20190116_025244_raw01 / 077 Dark 16-Jan-2019 04:06:22 15 9 -60 4 5452 4005.8827 0.25773
20 BS_20190116_025244_raw01 / 078 Dark 16-Jan-2019 04:06:39 15 9 -60 4 4061 4007.5353 0.22151
20 BS_20190116_025244_raw01 / 077 Lite 16-Jan-2019 04:07:00 15 9 -60 4 32706 4578.8267 65.7817
20 BS_20190116_025244_raw01 / 078 Lite 16-Jan-2019 04:07:18 15 9 -60 4 32596 4579.5944 65.7799
20 BS_20190116_025244_raw01 / 079 Lite 16-Jan-2019 04:07:36 15 9 -60 4 32574 4579.9868 65.7799
20 BS_20190116_025244_raw01 / 080 Lite 16-Jan-2019 04:07:53 15 9 -60 4 32676 4580.2769 65.7842
20 BS_20190116_025244_raw01 / 079 Dark 16-Jan-2019 04:08:14 15 9 -60 4 10426 4007.8973 0.31489
20 BS_20190116_025244_raw01 / 080 Dark 16-Jan-2019 04:08:32 15 9 -60 4 4079 4008.312 0.22225
21 BS_20190116_025244_raw01 / 081 Dark 16-Jan-2019 04:09:08 15 9 -60 4 5330 4004.4766 0.23551
21 BS_20190116_025244_raw01 / 082 Dark 16-Jan-2019 04:09:26 15 9 -60 4 4058 4007.1377 0.2214
21 BS_20190116_025244_raw01 / 081 Lite 16-Jan-2019 04:09:46 15 9 -60 4 32695 4578.7937 65.787
21 BS_20190116_025244_raw01 / 082 Lite 16-Jan-2019 04:10:04 15 9 -60 4 32718 4579.589 65.7871
21 BS_20190116_025244_raw01 / 083 Lite 16-Jan-2019 04:10:22 15 9 -60 4 32602 4580.1218 65.7792
21 BS_20190116_025244_raw01 / 084 Lite 16-Jan-2019 04:10:39 15 9 -60 4 32624 4580.354 65.7801
21 BS_20190116_025244_raw01 / 083 Dark 16-Jan-2019 04:11:00 15 9 -60 4 7004 4008.0299 0.2348
21 BS_20190116_025244_raw01 / 084 Dark 16-Jan-2019 04:11:18 15 9 -60 4 4070 4008.5947 0.2222
22 BS_20190116_025244_raw01 / 085 Dark 16-Jan-2019 04:13:59 15 9 -60 4 4067 3995.209 0.2187
22 BS_20190116_025244_raw01 / 086 Dark 16-Jan-2019 04:14:16 15 9 -60 4 4058 4002.2518 0.22674
22 BS_20190116_025244_raw01 / 085 Lite 16-Jan-2019 04:14:37 15 9 -60 4 32793 4577.3852 65.9499
22 BS_20190116_025244_raw01 / 086 Lite 16-Jan-2019 04:14:55 15 9 -60 4 32869 4580.2442 65.9097
22 BS_20190116_025244_raw01 / 087 Lite 16-Jan-2019 04:15:13 15 9 -60 4 32659 4581.2583 65.9056
22 BS_20190116_025244_raw01 / 088 Lite 16-Jan-2019 04:15:30 15 9 -60 4 32789 4581.8875 65.9037
22 BS_20190116_025244_raw01 / 087 Dark 16-Jan-2019 04:15:51 15 9 -60 4 4082 4008.3837 0.22133
22 BS_20190116_025244_raw01 / 088 Dark 16-Jan-2019 04:16:09 15 9 -60 4 4062 4008.83 0.22174
23 BS_20190116_025244_raw01 / 089 Dark 16-Jan-2019 04:17:31 15 9 -60 4 4077 3996.8989 0.21885
23 BS_20190116_025244_raw01 / 090 Dark 16-Jan-2019 04:17:49 15 9 -60 4 4071 4003.785 0.22709
23 BS_20190116_025244_raw01 / 089 Lite 16-Jan-2019 04:18:10 15 9 -60 4 32701 4578.3102 65.9523
23 BS_20190116_025244_raw01 / 090 Lite 16-Jan-2019 04:18:27 15 9 -60 4 32784 4580.5664 65.9232
23 BS_20190116_025244_raw01 / 091 Lite 16-Jan-2019 04:18:45 15 9 -60 4 32618 4581.5491 65.9128
23 BS_20190116_025244_raw01 / 092 Lite 16-Jan-2019 04:19:03 15 9 -60 4 32682 4582.0012 65.9149
23 BS_20190116_025244_raw01 / 091 Dark 16-Jan-2019 04:19:23 15 9 -60 4 4069 4008.4892 0.22096
23 BS_20190116_025244_raw01 / 092 Dark 16-Jan-2019 04:19:41 15 9 -60 4 4062 4008.979 0.2212
24 BS_20190116_025244_raw01 / 093 Dark 16-Jan-2019 04:20:10 15 9 -60 4 9696 4006.2549 0.27724
24 BS_20190116_025244_raw01 / 094 Dark 16-Jan-2019 04:20:28 15 9 -60 4 4066 4008.1477 0.22138
24 BS_20190116_025244_raw01 / 093 Lite 16-Jan-2019 04:20:49 15 9 -60 4 32623 4580.7916 65.9208
24 BS_20190116_025244_raw01 / 094 Lite 16-Jan-2019 04:21:06 15 9 -60 4 32830 4581.6171 65.9101
24 BS_20190116_025244_raw01 / 095 Lite 16-Jan-2019 04:21:24 15 9 -60 4 32845 4582.225 65.9065
24 BS_20190116_025244_raw01 / 096 Lite 16-Jan-2019 04:21:42 15 9 -60 4 32632 4582.4017 65.9074
24 BS_20190116_025244_raw01 / 095 Dark 16-Jan-2019 04:22:02 15 9 -60 4 4062 4008.6759 0.22137
24 BS_20190116_025244_raw01 / 096 Dark 16-Jan-2019 04:22:20 15 9 -60 4 5465 4009.0326 0.23033
25 BS_20190116_025244_raw01 / 097 Dark 16-Jan-2019 04:23:04 15 9 -60 4 4065 4001.7765 0.22736
25 BS_20190116_025244_raw01 / 098 Dark 16-Jan-2019 04:23:22 15 9 -60 4 4065 4006.954 0.22371
25 BS_20190116_025244_raw01 / 097 Lite 16-Jan-2019 04:23:43 15 9 -60 4 32871 4580.0977 65.934
25 BS_20190116_025244_raw01 / 098 Lite 16-Jan-2019 04:24:00 15 9 -60 4 32751 4581.5843 65.9171
25 BS_20190116_025244_raw01 / 099 Lite 16-Jan-2019 04:24:18 15 9 -60 4 32921 4582.3471 65.9111
25 BS_20190116_025244_raw01 / 100 Lite 16-Jan-2019 04:24:36 15 9 -60 4 32652 4582.4915 65.911
25 BS_20190116_025244_raw01 / 099 Dark 16-Jan-2019 04:24:57 15 9 -60 4 4077 4008.8358 0.2217
25 BS_20190116_025244_raw01 / 100 Dark 16-Jan-2019 04:25:14 15 9 -60 4 4094 4009.2359 0.221
26 BS_20190116_025244_raw01 / 101 Dark 16-Jan-2019 04:29:31 15 9 -60 4 4047 3995.2647 0.21787
26 BS_20190116_025244_raw01 / 102 Dark 16-Jan-2019 04:29:49 15 9 -60 4 4067 4001.2697 0.22346
26 BS_20190116_025244_raw01 / 101 Lite 16-Jan-2019 04:30:10 15 9 -60 4 33013 4582.9183 66.5909
26 BS_20190116_025244_raw01 / 102 Lite 16-Jan-2019 04:30:27 15 9 -60 4 33078 4585.8232 66.5517
26 BS_20190116_025244_raw01 / 103 Lite 16-Jan-2019 04:30:45 15 9 -60 4 33061 4587.6741 66.5332
26 BS_20190116_025244_raw01 / 104 Lite 16-Jan-2019 04:31:03 15 9 -60 4 33011 4588.3038 66.5258
26 BS_20190116_025244_raw01 / 103 Dark 16-Jan-2019 04:31:23 15 9 -60 4 4077 4008.6793 0.22134
26 BS_20190116_025244_raw01 / 104 Dark 16-Jan-2019 04:31:41 15 9 -60 4 7681 4009.2818 0.25782
27 BS_20190116_025244_raw01 / 105 Dark 16-Jan-2019 04:32:43 15 9 -60 4 5511 3998.3399 0.22484
27 BS_20190116_025244_raw01 / 106 Dark 16-Jan-2019 04:33:00 15 9 -60 4 4059 4004.5793 0.2276
27 BS_20190116_025244_raw01 / 105 Lite 16-Jan-2019 04:33:21 15 9 -60 4 32969 4584.6224 66.5745
27 BS_20190116_025244_raw01 / 106 Lite 16-Jan-2019 04:33:39 15 9 -60 4 33010 4586.8827 66.5452
27 BS_20190116_025244_raw01 / 107 Lite 16-Jan-2019 04:33:56 15 9 -60 4 33123 4588.1621 66.5377
27 BS_20190116_025244_raw01 / 108 Lite 16-Jan-2019 04:34:14 15 9 -60 4 33053 4588.6356 66.5335
27 BS_20190116_025244_raw01 / 107 Dark 16-Jan-2019 04:34:35 15 9 -60 4 4070 4008.8375 0.22155
27 BS_20190116_025244_raw01 / 108 Dark 16-Jan-2019 04:34:52 15 9 -60 4 6394 4009.5137 0.25597
28 BS_20190116_025244_raw01 / 109 Dark 16-Jan-2019 04:35:26 15 9 -60 4 4079 4004.1963 0.22824
28 BS_20190116_025244_raw01 / 110 Dark 16-Jan-2019 04:35:44 15 9 -60 4 4060 4007.8125 0.22276
28 BS_20190116_025244_raw01 / 109 Lite 16-Jan-2019 04:36:05 15 9 -60 4 32952 4586.5899 66.5537
28 BS_20190116_025244_raw01 / 110 Lite 16-Jan-2019 04:36:22 15 9 -60 4 33288 4588.1652 66.5505
28 BS_20190116_025244_raw01 / 111 Lite 16-Jan-2019 04:36:40 15 9 -60 4 33184 4588.646 66.5395
28 BS_20190116_025244_raw01 / 112 Lite 16-Jan-2019 04:36:57 15 9 -60 4 33211 4589.0182 66.5466
28 BS_20190116_025244_raw01 / 111 Dark 16-Jan-2019 04:37:18 15 9 -60 4 4069 4009.0195 0.22194
28 BS_20190116_025244_raw01 / 112 Dark 16-Jan-2019 04:37:36 15 9 -60 4 4079 4009.4374 0.22114
29 BS_20190116_025244_raw01 / 113 Dark 16-Jan-2019 04:38:08 15 9 -60 4 4067 4004.8947 0.22837
29 BS_20190116_025244_raw01 / 114 Dark 16-Jan-2019 04:38:25 15 9 -60 4 4087 4007.9675 0.22292
29 BS_20190116_025244_raw01 / 113 Lite 16-Jan-2019 04:38:46 15 9 -60 4 33106 4586.5584 66.5689
29 BS_20190116_025244_raw01 / 114 Lite 16-Jan-2019 04:39:04 15 9 -60 4 33124 4588.0684 66.5409
29 BS_20190116_025244_raw01 / 115 Lite 16-Jan-2019 04:39:22 15 9 -60 4 33141 4588.591 66.534
29 BS_20190116_025244_raw01 / 116 Lite 16-Jan-2019 04:39:39 15 9 -60 4 33064 4588.8711 66.5415
29 BS_20190116_025244_raw01 / 115 Dark 16-Jan-2019 04:40:00 15 9 -60 4 4077 4008.9502 0.22169
29 BS_20190116_025244_raw01 / 116 Dark 16-Jan-2019 04:40:18 15 9 -60 4 4061 4009.4976 0.22162
Grouped Image file: BS_20190116_N001_grouped.html
Grouped Image file: BS_20190116_N002_grouped.html
Grouped Image file: BS_20190116_N003_grouped.html
Grouped Image file: BS_20190116_N005_grouped.html
Grouped Image file: BS_20190116_N006_grouped.html
Grouped Image file: BS_20190116_N007_grouped.html
Grouped Image file: BS_20190116_N009_grouped.html
Grouped Image file: BS_20190116_N020_grouped.html
Grouped Image file: BS_20190116_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.

image

Figure 23B: 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 24B: 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 25B: 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 26B: 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 27B: 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 28B: 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 29B: 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 30B: 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 10:42:33
Created from mkhtml2_(1)