RS_20190116_025246_raw01 - Day 5

REVISION DATE: 28-Jan-2019 12:49:47

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

Table caption: RS04 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 RS_20190116_025246_raw01 / 001 Dark 16-Jan-2019 02:52:46 3 9 -60 4 3701 3665.6062 0.2093
1 RS_20190116_025246_raw01 / 002 Dark 16-Jan-2019 02:52:51 3 9 -60 4 3703 3665.7205 0.20958
1 RS_20190116_025246_raw01 / 001 Lite 16-Jan-2019 02:53:07 3 9 -60 4 63007 5089.078 139.8855
1 RS_20190116_025246_raw01 / 002 Lite 16-Jan-2019 02:53:13 3 9 -60 4 60023 5087.7942 139.8325
1 RS_20190116_025246_raw01 / 003 Lite 16-Jan-2019 02:53:18 3 9 -60 4 59959 5088.1049 139.8484
1 RS_20190116_025246_raw01 / 004 Lite 16-Jan-2019 02:53:24 3 9 -60 4 60065 5088.7382 139.8782
1 RS_20190116_025246_raw01 / 003 Dark 16-Jan-2019 02:53:40 3 9 -60 4 3704 3666.9946 0.20953
1 RS_20190116_025246_raw01 / 004 Dark 16-Jan-2019 02:53:45 3 9 -60 4 3714 3666.5206 0.20973
2 RS_20190116_025246_raw01 / 005 Dark 16-Jan-2019 02:55:30 3 9 -60 4 3703 3665.8964 0.2094
2 RS_20190116_025246_raw01 / 006 Dark 16-Jan-2019 02:55:35 3 9 -60 4 3713 3665.9617 0.20948
2 RS_20190116_025246_raw01 / 005 Lite 16-Jan-2019 02:55:51 3 9 -60 4 60099 5088.6577 139.8423
2 RS_20190116_025246_raw01 / 006 Lite 16-Jan-2019 02:55:57 3 9 -60 4 60204 5088.1648 139.8437
2 RS_20190116_025246_raw01 / 007 Lite 16-Jan-2019 02:56:02 3 9 -60 4 60227 5088.4088 139.8568
2 RS_20190116_025246_raw01 / 008 Lite 16-Jan-2019 02:56:08 3 9 -60 4 60111 5088.4506 139.8411
2 RS_20190116_025246_raw01 / 007 Dark 16-Jan-2019 02:56:24 3 9 -60 4 3706 3667.2505 0.2094
2 RS_20190116_025246_raw01 / 008 Dark 16-Jan-2019 02:56:29 3 9 -60 4 3704 3666.767 0.20952
3 RS_20190116_025246_raw01 / 009 Dark 16-Jan-2019 02:58:09 3 9 -60 4 3706 3665.9491 0.20946
3 RS_20190116_025246_raw01 / 010 Dark 16-Jan-2019 02:58:15 3 9 -60 4 3704 3666.0649 0.20956
3 RS_20190116_025246_raw01 / 009 Lite 16-Jan-2019 02:58:31 3 9 -60 4 60071 5088.5695 139.8381
3 RS_20190116_025246_raw01 / 010 Lite 16-Jan-2019 02:58:36 3 9 -60 4 60073 5088.661 139.8532
3 RS_20190116_025246_raw01 / 011 Lite 16-Jan-2019 02:58:42 3 9 -60 4 60095 5088.671 139.844
3 RS_20190116_025246_raw01 / 012 Lite 16-Jan-2019 02:58:47 3 9 -60 4 60137 5089.248 139.8712
3 RS_20190116_025246_raw01 / 011 Dark 16-Jan-2019 02:59:03 3 9 -60 4 4803 3667.3352 0.21307
3 RS_20190116_025246_raw01 / 012 Dark 16-Jan-2019 02:59:09 3 9 -60 4 3703 3666.9709 0.20957
4 RS_20190116_025246_raw01 / 013 Dark 16-Jan-2019 03:00:54 3 9 -60 4 3706 3665.9261 0.20934
4 RS_20190116_025246_raw01 / 014 Dark 16-Jan-2019 03:00:59 3 9 -60 4 3702 3666.1005 0.2091
4 RS_20190116_025246_raw01 / 013 Lite 16-Jan-2019 03:01:15 3 9 -60 4 60087 5088.7611 139.8471
4 RS_20190116_025246_raw01 / 014 Lite 16-Jan-2019 03:01:21 3 9 -60 4 60138 5088.9976 139.8803
4 RS_20190116_025246_raw01 / 015 Lite 16-Jan-2019 03:01:26 3 9 -60 4 60142 5089.2574 139.8816
4 RS_20190116_025246_raw01 / 016 Lite 16-Jan-2019 03:01:32 3 9 -60 4 60135 5089.3635 139.8735
4 RS_20190116_025246_raw01 / 015 Dark 16-Jan-2019 03:01:48 3 9 -60 4 3704 3667.4182 0.20921
4 RS_20190116_025246_raw01 / 016 Dark 16-Jan-2019 03:01:53 3 9 -60 4 3703 3667.13 0.20945
5 RS_20190116_025246_raw01 / 017 Dark 16-Jan-2019 03:03:38 3 9 -60 4 3704 3665.9576 0.20911
5 RS_20190116_025246_raw01 / 018 Dark 16-Jan-2019 03:03:44 3 9 -60 4 3705 3666.0729 0.20912
5 RS_20190116_025246_raw01 / 017 Lite 16-Jan-2019 03:04:00 3 9 -60 4 60052 5089.1163 139.8722
5 RS_20190116_025246_raw01 / 018 Lite 16-Jan-2019 03:04:05 3 9 -60 4 60245 5089.03 139.8736
5 RS_20190116_025246_raw01 / 019 Lite 16-Jan-2019 03:04:11 3 9 -60 4 60002 5089.6954 139.9118
5 RS_20190116_025246_raw01 / 020 Lite 16-Jan-2019 03:04:17 3 9 -60 4 60204 5089.9037 139.903
5 RS_20190116_025246_raw01 / 019 Dark 16-Jan-2019 03:04:32 3 9 -60 4 3708 3667.4373 0.20952
5 RS_20190116_025246_raw01 / 020 Dark 16-Jan-2019 03:04:38 3 9 -60 4 3703 3667.0424 0.20941
6 RS_20190116_025246_raw01 / 021 Dark 16-Jan-2019 03:12:54 3 9 -60 4 3702 3665.7241 0.20958
6 RS_20190116_025246_raw01 / 022 Dark 16-Jan-2019 03:13:00 3 9 -60 4 3704 3666.0418 0.20925
6 RS_20190116_025246_raw01 / 021 Lite 16-Jan-2019 03:13:16 3 9 -60 4 60034 5086.6817 139.6933
6 RS_20190116_025246_raw01 / 022 Lite 16-Jan-2019 03:13:21 3 9 -60 4 59901 5086.6759 139.7012
6 RS_20190116_025246_raw01 / 023 Lite 16-Jan-2019 03:13:27 3 9 -60 4 60143 5086.9173 139.7051
6 RS_20190116_025246_raw01 / 024 Lite 16-Jan-2019 03:13:32 3 9 -60 4 59946 5087.3097 139.7036
6 RS_20190116_025246_raw01 / 023 Dark 16-Jan-2019 03:13:48 3 9 -60 4 3709 3667.2843 0.2093
6 RS_20190116_025246_raw01 / 024 Dark 16-Jan-2019 03:13:54 3 9 -60 4 3704 3666.9668 0.20904
7 RS_20190116_025246_raw01 / 025 Dark 16-Jan-2019 03:15:31 3 9 -60 4 3701 3665.6444 0.2092
7 RS_20190116_025246_raw01 / 026 Dark 16-Jan-2019 03:15:36 3 9 -60 4 3703 3665.9213 0.20883
7 RS_20190116_025246_raw01 / 025 Lite 16-Jan-2019 03:15:52 3 9 -60 4 60194 5086.9299 139.7149
7 RS_20190116_025246_raw01 / 026 Lite 16-Jan-2019 03:15:58 3 9 -60 4 60031 5086.7726 139.714
7 RS_20190116_025246_raw01 / 027 Lite 16-Jan-2019 03:16:04 3 9 -60 4 59936 5087.1556 139.7249
7 RS_20190116_025246_raw01 / 028 Lite 16-Jan-2019 03:16:09 3 9 -60 4 60154 5087.4008 139.7196
7 RS_20190116_025246_raw01 / 027 Dark 16-Jan-2019 03:16:25 3 9 -60 4 5257 3667.3916 0.21994
7 RS_20190116_025246_raw01 / 028 Dark 16-Jan-2019 03:16:31 3 9 -60 4 3705 3667.0217 0.2099
8 RS_20190116_025246_raw01 / 029 Dark 16-Jan-2019 03:18:39 3 9 -60 4 3705 3665.7707 0.20952
8 RS_20190116_025246_raw01 / 030 Dark 16-Jan-2019 03:18:44 3 9 -60 4 3705 3666.1995 0.2093
8 RS_20190116_025246_raw01 / 029 Lite 16-Jan-2019 03:19:00 3 9 -60 4 59739 5087.2832 139.7253
8 RS_20190116_025246_raw01 / 030 Lite 16-Jan-2019 03:19:06 3 9 -60 4 59995 5087.6995 139.7419
8 RS_20190116_025246_raw01 / 031 Lite 16-Jan-2019 03:19:11 3 9 -60 4 60128 5088.3053 139.763
8 RS_20190116_025246_raw01 / 032 Lite 16-Jan-2019 03:19:17 3 9 -60 4 59987 5088.2904 139.743
8 RS_20190116_025246_raw01 / 031 Dark 16-Jan-2019 03:19:33 3 9 -60 4 3704 3667.6828 0.20901
8 RS_20190116_025246_raw01 / 032 Dark 16-Jan-2019 03:19:38 3 9 -60 4 7991 3667.4635 0.24903
9 RS_20190116_025246_raw01 / 033 Dark 16-Jan-2019 03:21:25 3 9 -60 4 3702 3665.9836 0.20944
9 RS_20190116_025246_raw01 / 034 Dark 16-Jan-2019 03:21:30 3 9 -60 4 3705 3666.3316 0.20897
9 RS_20190116_025246_raw01 / 033 Lite 16-Jan-2019 03:21:46 3 9 -60 4 60142 5087.7843 139.7508
9 RS_20190116_025246_raw01 / 034 Lite 16-Jan-2019 03:21:52 3 9 -60 4 60009 5087.8528 139.7535
9 RS_20190116_025246_raw01 / 035 Lite 16-Jan-2019 03:21:57 3 9 -60 4 60014 5087.9044 139.7347
9 RS_20190116_025246_raw01 / 036 Lite 16-Jan-2019 03:22:03 3 9 -60 4 60253 5088.3376 139.7508
9 RS_20190116_025246_raw01 / 035 Dark 16-Jan-2019 03:22:19 3 9 -60 4 3713 3667.5791 0.20916
9 RS_20190116_025246_raw01 / 036 Dark 16-Jan-2019 03:22:24 3 9 -60 4 3711 3667.3901 0.20901
10 RS_20190116_025246_raw01 / 037 Dark 16-Jan-2019 03:27:08 3 9 -60 4 3702 3665.9558 0.20894
10 RS_20190116_025246_raw01 / 038 Dark 16-Jan-2019 03:27:14 3 9 -60 4 3703 3666.4137 0.20915
10 RS_20190116_025246_raw01 / 037 Lite 16-Jan-2019 03:27:30 3 9 -60 4 60071 5087.3079 139.7003
10 RS_20190116_025246_raw01 / 038 Lite 16-Jan-2019 03:27:35 3 9 -60 4 60045 5087.4298 139.7082
10 RS_20190116_025246_raw01 / 039 Lite 16-Jan-2019 03:27:41 3 9 -60 4 60055 5088.1612 139.7249
10 RS_20190116_025246_raw01 / 040 Lite 16-Jan-2019 03:27:46 3 9 -60 4 60007 5088.385 139.7116
10 RS_20190116_025246_raw01 / 039 Dark 16-Jan-2019 03:28:02 3 9 -60 4 3705 3667.8067 0.20886
10 RS_20190116_025246_raw01 / 040 Dark 16-Jan-2019 03:28:08 3 9 -60 4 3708 3667.6285 0.20898
11 RS_20190116_025246_raw01 / 041 Dark 16-Jan-2019 03:29:48 3 9 -60 4 3703 3666.3892 0.20885
11 RS_20190116_025246_raw01 / 042 Dark 16-Jan-2019 03:29:54 3 9 -60 4 3704 3666.5935 0.20897
11 RS_20190116_025246_raw01 / 041 Lite 16-Jan-2019 03:30:09 3 9 -60 4 59937 5088.0901 139.7359
11 RS_20190116_025246_raw01 / 042 Lite 16-Jan-2019 03:30:15 3 9 -60 4 60022 5088.1087 139.7262
11 RS_20190116_025246_raw01 / 043 Lite 16-Jan-2019 03:30:21 3 9 -60 4 60006 5088.2809 139.7126
11 RS_20190116_025246_raw01 / 044 Lite 16-Jan-2019 03:30:26 3 9 -60 4 60041 5088.7065 139.7037
11 RS_20190116_025246_raw01 / 043 Dark 16-Jan-2019 03:30:42 3 9 -60 4 3708 3667.9117 0.20907
11 RS_20190116_025246_raw01 / 044 Dark 16-Jan-2019 03:30:48 3 9 -60 4 3708 3667.8644 0.20901
12 RS_20190116_025246_raw01 / 045 Dark 16-Jan-2019 03:32:37 3 9 -60 4 3708 3666.4045 0.20882
12 RS_20190116_025246_raw01 / 046 Dark 16-Jan-2019 03:32:42 3 9 -60 4 3708 3666.7889 0.20874
12 RS_20190116_025246_raw01 / 045 Lite 16-Jan-2019 03:32:58 3 9 -60 4 60252 5088.1024 139.7089
12 RS_20190116_025246_raw01 / 046 Lite 16-Jan-2019 03:33:04 3 9 -60 4 60068 5088.6294 139.7292
12 RS_20190116_025246_raw01 / 047 Lite 16-Jan-2019 03:33:09 3 9 -60 4 59978 5089.2281 139.7496
12 RS_20190116_025246_raw01 / 048 Lite 16-Jan-2019 03:33:15 3 9 -60 4 60058 5089.173 139.7293
12 RS_20190116_025246_raw01 / 047 Dark 16-Jan-2019 03:33:31 3 9 -60 4 3704 3668.1458 0.209
12 RS_20190116_025246_raw01 / 048 Dark 16-Jan-2019 03:33:36 3 9 -60 4 3705 3668.0658 0.20872
13 RS_20190116_025246_raw01 / 049 Dark 16-Jan-2019 03:35:30 3 9 -60 4 3706 3666.5752 0.20886
13 RS_20190116_025246_raw01 / 050 Dark 16-Jan-2019 03:35:35 3 9 -60 4 3704 3666.9152 0.20883
13 RS_20190116_025246_raw01 / 049 Lite 16-Jan-2019 03:35:51 3 9 -60 4 60067 5088.4016 139.7059
13 RS_20190116_025246_raw01 / 050 Lite 16-Jan-2019 03:35:57 3 9 -60 4 60007 5088.9953 139.7281
13 RS_20190116_025246_raw01 / 051 Lite 16-Jan-2019 03:36:02 3 9 -60 4 60175 5089.0708 139.715
13 RS_20190116_025246_raw01 / 052 Lite 16-Jan-2019 03:36:08 3 9 -60 4 59981 5089.5866 139.7215
13 RS_20190116_025246_raw01 / 051 Dark 16-Jan-2019 03:36:24 3 9 -60 4 3709 3668.6345 0.20896
13 RS_20190116_025246_raw01 / 052 Dark 16-Jan-2019 03:36:29 3 9 -60 4 3707 3668.5363 0.20904
14 RS_20190116_025246_raw01 / 053 Dark 16-Jan-2019 03:46:05 3 9 -60 4 3708 3667.0834 0.20901
14 RS_20190116_025246_raw01 / 054 Dark 16-Jan-2019 03:46:10 3 9 -60 4 3705 3667.5783 0.20923
14 RS_20190116_025246_raw01 / 053 Lite 16-Jan-2019 03:46:26 3 9 -60 4 59966 5078.0702 138.9304
14 RS_20190116_025246_raw01 / 054 Lite 16-Jan-2019 03:46:32 3 9 -60 4 59664 5078.7703 138.9541
14 RS_20190116_025246_raw01 / 055 Lite 16-Jan-2019 03:46:37 3 9 -60 4 59398 5079.4784 138.9528
14 RS_20190116_025246_raw01 / 056 Lite 16-Jan-2019 03:46:43 3 9 -60 4 59969 5079.3334 138.9312
14 RS_20190116_025246_raw01 / 055 Dark 16-Jan-2019 03:46:59 3 9 -60 4 3710 3669.1884 0.2092
14 RS_20190116_025246_raw01 / 056 Dark 16-Jan-2019 03:47:04 3 9 -60 4 4430 3669.1495 0.21092
15 RS_20190116_025246_raw01 / 057 Dark 16-Jan-2019 03:48:42 3 9 -60 4 3702 3667.2551 0.20888
15 RS_20190116_025246_raw01 / 058 Dark 16-Jan-2019 03:48:48 3 9 -60 4 3706 3667.6761 0.20887
15 RS_20190116_025246_raw01 / 057 Lite 16-Jan-2019 03:49:03 3 9 -60 4 59565 5078.0278 138.9133
15 RS_20190116_025246_raw01 / 058 Lite 16-Jan-2019 03:49:09 3 9 -60 4 59775 5078.6459 138.9233
15 RS_20190116_025246_raw01 / 059 Lite 16-Jan-2019 03:49:15 3 9 -60 4 59403 5079.3661 138.9449
15 RS_20190116_025246_raw01 / 060 Lite 16-Jan-2019 03:49:20 3 9 -60 4 59707 5079.5588 138.9319
15 RS_20190116_025246_raw01 / 059 Dark 16-Jan-2019 03:49:36 3 9 -60 4 3709 3669.3094 0.2092
15 RS_20190116_025246_raw01 / 060 Dark 16-Jan-2019 03:49:42 3 9 -60 4 3709 3669.2284 0.20895
16 RS_20190116_025246_raw01 / 061 Dark 16-Jan-2019 03:51:23 3 9 -60 4 3713 3667.4458 0.20914
16 RS_20190116_025246_raw01 / 062 Dark 16-Jan-2019 03:51:29 3 9 -60 4 3705 3668.1386 0.20904
16 RS_20190116_025246_raw01 / 061 Lite 16-Jan-2019 03:51:45 3 9 -60 4 59936 5078.4313 138.9018
16 RS_20190116_025246_raw01 / 062 Lite 16-Jan-2019 03:51:50 3 9 -60 4 59524 5078.8462 138.9148
16 RS_20190116_025246_raw01 / 063 Lite 16-Jan-2019 03:51:56 3 9 -60 4 59448 5079.2021 138.8985
16 RS_20190116_025246_raw01 / 064 Lite 16-Jan-2019 03:52:02 3 9 -60 4 59850 5079.8807 138.9091
16 RS_20190116_025246_raw01 / 063 Dark 16-Jan-2019 03:52:17 3 9 -60 4 3711 3669.6314 0.20904
16 RS_20190116_025246_raw01 / 064 Dark 16-Jan-2019 03:52:23 3 9 -60 4 3709 3669.4606 0.2092
17 RS_20190116_025246_raw01 / 065 Dark 16-Jan-2019 03:54:05 3 9 -60 4 3706 3667.5392 0.20911
17 RS_20190116_025246_raw01 / 066 Dark 16-Jan-2019 03:54:10 3 9 -60 4 5653 3668.1504 0.22438
17 RS_20190116_025246_raw01 / 065 Lite 16-Jan-2019 03:54:26 3 9 -60 4 59571 5078.3726 138.8883
17 RS_20190116_025246_raw01 / 066 Lite 16-Jan-2019 03:54:32 3 9 -60 4 59903 5078.9228 138.9078
17 RS_20190116_025246_raw01 / 067 Lite 16-Jan-2019 03:54:37 3 9 -60 4 59629 5079.4353 138.9031
17 RS_20190116_025246_raw01 / 068 Lite 16-Jan-2019 03:54:43 3 9 -60 4 59896 5079.6236 138.8937
17 RS_20190116_025246_raw01 / 067 Dark 16-Jan-2019 03:54:59 3 9 -60 4 3708 3669.6019 0.20885
17 RS_20190116_025246_raw01 / 068 Dark 16-Jan-2019 03:55:04 3 9 -60 4 3707 3669.5473 0.2089
18 RS_20190116_025246_raw01 / 069 Dark 16-Jan-2019 04:00:35 3 9 -60 4 3705 3667.6731 0.20909
18 RS_20190116_025246_raw01 / 070 Dark 16-Jan-2019 04:00:40 3 9 -60 4 3706 3668.2627 0.20913
18 RS_20190116_025246_raw01 / 069 Lite 16-Jan-2019 04:00:56 3 9 -60 4 59454 5075.3037 138.6468
18 RS_20190116_025246_raw01 / 070 Lite 16-Jan-2019 04:01:02 3 9 -60 4 59301 5075.837 138.6456
18 RS_20190116_025246_raw01 / 071 Lite 16-Jan-2019 04:01:07 3 9 -60 4 59441 5076.4567 138.641
18 RS_20190116_025246_raw01 / 072 Lite 16-Jan-2019 04:01:13 3 9 -60 4 59548 5076.5688 138.6278
18 RS_20190116_025246_raw01 / 071 Dark 16-Jan-2019 04:01:29 3 9 -60 4 3708 3669.8594 0.209
18 RS_20190116_025246_raw01 / 072 Dark 16-Jan-2019 04:01:34 3 9 -60 4 3716 3670.1023 0.20854
19 RS_20190116_025246_raw01 / 073 Dark 16-Jan-2019 04:03:44 3 9 -60 4 3707 3667.8774 0.20951
19 RS_20190116_025246_raw01 / 074 Dark 16-Jan-2019 04:03:49 3 9 -60 4 3712 3668.5413 0.20898
19 RS_20190116_025246_raw01 / 073 Lite 16-Jan-2019 04:04:05 3 9 -60 4 59276 5075.3082 138.6322
19 RS_20190116_025246_raw01 / 074 Lite 16-Jan-2019 04:04:11 3 9 -60 4 59499 5075.7606 138.6338
19 RS_20190116_025246_raw01 / 075 Lite 16-Jan-2019 04:04:16 3 9 -60 4 59380 5076.0452 138.618
19 RS_20190116_025246_raw01 / 076 Lite 16-Jan-2019 04:04:22 3 9 -60 4 59367 5076.7972 138.6243
19 RS_20190116_025246_raw01 / 075 Dark 16-Jan-2019 04:04:38 3 9 -60 4 3707 3670.127 0.20906
19 RS_20190116_025246_raw01 / 076 Dark 16-Jan-2019 04:04:43 3 9 -60 4 3710 3670.1768 0.20907
20 RS_20190116_025246_raw01 / 077 Dark 16-Jan-2019 04:06:23 3 9 -60 4 3705 3668.2583 0.20978
20 RS_20190116_025246_raw01 / 078 Dark 16-Jan-2019 04:06:29 3 9 -60 4 3709 3668.8997 0.20922
20 RS_20190116_025246_raw01 / 077 Lite 16-Jan-2019 04:06:45 3 9 -60 4 59416 5076.1001 138.6612
20 RS_20190116_025246_raw01 / 078 Lite 16-Jan-2019 04:06:50 3 9 -60 4 59480 5076.7071 138.6624
20 RS_20190116_025246_raw01 / 079 Lite 16-Jan-2019 04:06:56 3 9 -60 4 59452 5076.7043 138.6368
20 RS_20190116_025246_raw01 / 080 Lite 16-Jan-2019 04:07:02 3 9 -60 4 59507 5077.4445 138.6545
20 RS_20190116_025246_raw01 / 079 Dark 16-Jan-2019 04:07:17 3 9 -60 4 3708 3670.4179 0.20944
20 RS_20190116_025246_raw01 / 080 Dark 16-Jan-2019 04:07:23 3 9 -60 4 3709 3670.3724 0.20923
21 RS_20190116_025246_raw01 / 081 Dark 16-Jan-2019 04:09:10 3 9 -60 4 3706 3668.3482 0.20912
21 RS_20190116_025246_raw01 / 082 Dark 16-Jan-2019 04:09:15 3 9 -60 4 3709 3669.0111 0.20917
21 RS_20190116_025246_raw01 / 081 Lite 16-Jan-2019 04:09:31 3 9 -60 4 59747 5076.3318 138.6581
21 RS_20190116_025246_raw01 / 082 Lite 16-Jan-2019 04:09:37 3 9 -60 4 59559 5076.5422 138.6394
21 RS_20190116_025246_raw01 / 083 Lite 16-Jan-2019 04:09:42 3 9 -60 4 59614 5077.7691 138.6794
21 RS_20190116_025246_raw01 / 084 Lite 16-Jan-2019 04:09:48 3 9 -60 4 59704 5078.2678 138.6846
21 RS_20190116_025246_raw01 / 083 Dark 16-Jan-2019 04:10:04 3 9 -60 4 3707 3670.4769 0.20913
21 RS_20190116_025246_raw01 / 084 Dark 16-Jan-2019 04:10:10 3 9 -60 4 3708 3670.5037 0.209
22 RS_20190116_025246_raw01 / 085 Dark 16-Jan-2019 04:14:00 3 9 -60 4 3709 3668.3714 0.20917
22 RS_20190116_025246_raw01 / 086 Dark 16-Jan-2019 04:14:06 3 9 -60 4 3705 3669.1088 0.20914
22 RS_20190116_025246_raw01 / 085 Lite 16-Jan-2019 04:14:22 3 9 -60 4 59495 5079.3456 138.8595
22 RS_20190116_025246_raw01 / 086 Lite 16-Jan-2019 04:14:27 3 9 -60 4 59709 5080.5274 138.896
22 RS_20190116_025246_raw01 / 087 Lite 16-Jan-2019 04:14:33 3 9 -60 4 59739 5080.8397 138.8876
22 RS_20190116_025246_raw01 / 088 Lite 16-Jan-2019 04:14:38 3 9 -60 4 59477 5081.2977 138.8833
22 RS_20190116_025246_raw01 / 087 Dark 16-Jan-2019 04:14:54 3 9 -60 4 3709 3670.7825 0.20927
22 RS_20190116_025246_raw01 / 088 Dark 16-Jan-2019 04:15:00 3 9 -60 4 3708 3670.9523 0.20895
23 RS_20190116_025246_raw01 / 089 Dark 16-Jan-2019 04:17:33 3 9 -60 4 4984 3668.6012 0.21228
23 RS_20190116_025246_raw01 / 090 Dark 16-Jan-2019 04:17:39 3 9 -60 4 3707 3669.2182 0.209
23 RS_20190116_025246_raw01 / 089 Lite 16-Jan-2019 04:17:55 3 9 -60 4 59869 5080.1901 138.8987
23 RS_20190116_025246_raw01 / 090 Lite 16-Jan-2019 04:18:00 3 9 -60 4 59666 5081.1428 138.9164
23 RS_20190116_025246_raw01 / 091 Lite 16-Jan-2019 04:18:06 3 9 -60 4 59517 5081.7337 138.9275
23 RS_20190116_025246_raw01 / 092 Lite 16-Jan-2019 04:18:11 3 9 -60 4 59820 5081.9243 138.9101
23 RS_20190116_025246_raw01 / 091 Dark 16-Jan-2019 04:18:27 3 9 -60 4 3710 3670.8785 0.20941
23 RS_20190116_025246_raw01 / 092 Dark 16-Jan-2019 04:18:33 3 9 -60 4 3709 3671.0028 0.20914
24 RS_20190116_025246_raw01 / 093 Dark 16-Jan-2019 04:20:13 3 9 -60 4 3710 3668.6708 0.20894
24 RS_20190116_025246_raw01 / 094 Dark 16-Jan-2019 04:20:18 3 9 -60 4 3706 3669.3837 0.20934
24 RS_20190116_025246_raw01 / 093 Lite 16-Jan-2019 04:20:34 3 9 -60 4 59449 5080.1061 138.8779
24 RS_20190116_025246_raw01 / 094 Lite 16-Jan-2019 04:20:40 3 9 -60 4 59954 5080.7858 138.8847
24 RS_20190116_025246_raw01 / 095 Lite 16-Jan-2019 04:20:46 3 9 -60 4 59950 5081.585 138.9099
24 RS_20190116_025246_raw01 / 096 Lite 16-Jan-2019 04:20:51 3 9 -60 4 60001 5081.754 138.886
24 RS_20190116_025246_raw01 / 095 Dark 16-Jan-2019 04:21:07 3 9 -60 4 3707 3671.0639 0.20917
24 RS_20190116_025246_raw01 / 096 Dark 16-Jan-2019 04:21:13 3 9 -60 4 3711 3671.1673 0.20917
25 RS_20190116_025246_raw01 / 097 Dark 16-Jan-2019 04:23:06 3 9 -60 4 3712 3668.657 0.20915
25 RS_20190116_025246_raw01 / 098 Dark 16-Jan-2019 04:23:12 3 9 -60 4 3708 3669.4263 0.20899
25 RS_20190116_025246_raw01 / 097 Lite 16-Jan-2019 04:23:28 3 9 -60 4 59719 5079.9171 138.8599
25 RS_20190116_025246_raw01 / 098 Lite 16-Jan-2019 04:23:34 3 9 -60 4 59548 5080.914 138.884
25 RS_20190116_025246_raw01 / 099 Lite 16-Jan-2019 04:23:39 3 9 -60 4 59513 5081.5313 138.8861
25 RS_20190116_025246_raw01 / 100 Lite 16-Jan-2019 04:23:45 3 9 -60 4 59530 5081.564 138.8522
25 RS_20190116_025246_raw01 / 099 Dark 16-Jan-2019 04:24:01 3 9 -60 4 3708 3671.1036 0.20894
25 RS_20190116_025246_raw01 / 100 Dark 16-Jan-2019 04:24:06 3 9 -60 4 3710 3671.2578 0.20909
26 RS_20190116_025246_raw01 / 101 Dark 16-Jan-2019 04:29:33 3 9 -60 4 3705 3669.0299 0.20937
26 RS_20190116_025246_raw01 / 102 Dark 16-Jan-2019 04:29:38 3 9 -60 4 4777 3669.6388 0.22177
26 RS_20190116_025246_raw01 / 101 Lite 16-Jan-2019 04:29:54 3 9 -60 4 60124 5094.6632 139.8675
26 RS_20190116_025246_raw01 / 102 Lite 16-Jan-2019 04:30:00 3 9 -60 4 60144 5095.5698 139.8826
26 RS_20190116_025246_raw01 / 103 Lite 16-Jan-2019 04:30:05 3 9 -60 4 60083 5096.2121 139.8906
26 RS_20190116_025246_raw01 / 104 Lite 16-Jan-2019 04:30:11 3 9 -60 4 60178 5096.5304 139.8775
26 RS_20190116_025246_raw01 / 103 Dark 16-Jan-2019 04:30:27 3 9 -60 4 3709 3671.3431 0.20904
26 RS_20190116_025246_raw01 / 104 Dark 16-Jan-2019 04:30:32 3 9 -60 4 3709 3671.528 0.20907
27 RS_20190116_025246_raw01 / 105 Dark 16-Jan-2019 04:32:44 3 9 -60 4 3710 3669.1293 0.2094
27 RS_20190116_025246_raw01 / 106 Dark 16-Jan-2019 04:32:50 3 9 -60 4 3706 3669.7846 0.20937
27 RS_20190116_025246_raw01 / 105 Lite 16-Jan-2019 04:33:05 3 9 -60 4 60083 5094.7572 139.8699
27 RS_20190116_025246_raw01 / 106 Lite 16-Jan-2019 04:33:11 3 9 -60 4 60008 5095.4948 139.8802
27 RS_20190116_025246_raw01 / 107 Lite 16-Jan-2019 04:33:17 3 9 -60 4 60125 5096.0604 139.8825
27 RS_20190116_025246_raw01 / 108 Lite 16-Jan-2019 04:33:22 3 9 -60 4 60254 5096.502 139.8656
27 RS_20190116_025246_raw01 / 107 Dark 16-Jan-2019 04:33:38 3 9 -60 4 3707 3671.4903 0.20914
27 RS_20190116_025246_raw01 / 108 Dark 16-Jan-2019 04:33:44 3 9 -60 4 3708 3671.5879 0.20929
28 RS_20190116_025246_raw01 / 109 Dark 16-Jan-2019 04:35:27 3 9 -60 4 3706 3669.3414 0.20914
28 RS_20190116_025246_raw01 / 110 Dark 16-Jan-2019 04:35:33 3 9 -60 4 3705 3669.9675 0.20956
28 RS_20190116_025246_raw01 / 109 Lite 16-Jan-2019 04:35:49 3 9 -60 4 60074 5095.011 139.8613
28 RS_20190116_025246_raw01 / 110 Lite 16-Jan-2019 04:35:55 3 9 -60 4 60144 5095.5506 139.8604
28 RS_20190116_025246_raw01 / 111 Lite 16-Jan-2019 04:36:00 3 9 -60 4 60399 5096.0875 139.8576
28 RS_20190116_025246_raw01 / 112 Lite 16-Jan-2019 04:36:06 3 9 -60 4 60036 5096.8562 139.8754
28 RS_20190116_025246_raw01 / 111 Dark 16-Jan-2019 04:36:22 3 9 -60 4 3707 3671.7143 0.20887
28 RS_20190116_025246_raw01 / 112 Dark 16-Jan-2019 04:36:27 3 9 -60 4 3711 3671.7469 0.20937
29 RS_20190116_025246_raw01 / 113 Dark 16-Jan-2019 04:38:09 3 9 -60 4 3709 3669.3285 0.2092
29 RS_20190116_025246_raw01 / 114 Dark 16-Jan-2019 04:38:15 3 9 -60 4 3707 3669.9717 0.20915
29 RS_20190116_025246_raw01 / 113 Lite 16-Jan-2019 04:38:31 3 9 -60 4 60014 5094.9638 139.8606
29 RS_20190116_025246_raw01 / 114 Lite 16-Jan-2019 04:38:36 3 9 -60 4 60181 5095.6788 139.8621
29 RS_20190116_025246_raw01 / 115 Lite 16-Jan-2019 04:38:42 3 9 -60 4 59970 5095.9772 139.8529
29 RS_20190116_025246_raw01 / 116 Lite 16-Jan-2019 04:38:48 3 9 -60 4 60064 5096.2276 139.839
29 RS_20190116_025246_raw01 / 115 Dark 16-Jan-2019 04:39:03 3 9 -60 4 3715 3671.6872 0.2093
29 RS_20190116_025246_raw01 / 116 Dark 16-Jan-2019 04:39:09 3 9 -60 4 4588 3671.7454 0.21161
Grouped Image file: RS_20190116_N001_grouped.html
Grouped Image file: RS_20190116_N002_grouped.html
Grouped Image file: RS_20190116_N003_grouped.html
Grouped Image file: RS_20190116_N005_grouped.html
Grouped Image file: RS_20190116_N006_grouped.html
Grouped Image file: RS_20190116_N007_grouped.html
Grouped Image file: RS_20190116_N009_grouped.html
Grouped Image file: RS_20190116_N020_grouped.html
Grouped Image file: RS_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\RS4cal
Date: 28-Jan-2019 12:50:11
Created from mkhtml2_(1)