RS_20190117_031015_raw01 - Day 6

REVISION DATE: 28-Jan-2019 12:50:40

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_20190117_031015_raw01 / 001 Dark 17-Jan-2019 03:10:15 3 9 -60 4 3721 3679.6766 0.20954
1 RS_20190117_031015_raw01 / 002 Dark 17-Jan-2019 03:10:20 3 9 -60 4 3715 3680.3502 0.20927
1 RS_20190117_031015_raw01 / 001 Lite 17-Jan-2019 03:10:36 3 9 -60 4 60074 5103.0481 139.4196
1 RS_20190117_031015_raw01 / 002 Lite 17-Jan-2019 03:10:42 3 9 -60 4 60187 5103.5816 139.4489
1 RS_20190117_031015_raw01 / 003 Lite 17-Jan-2019 03:10:47 3 9 -60 4 60027 5104.3248 139.4658
1 RS_20190117_031015_raw01 / 004 Lite 17-Jan-2019 03:10:53 3 9 -60 4 60202 5104.6896 139.4485
1 RS_20190117_031015_raw01 / 003 Dark 17-Jan-2019 03:11:09 3 9 -60 4 3722 3682.1853 0.20923
1 RS_20190117_031015_raw01 / 004 Dark 17-Jan-2019 03:11:14 3 9 -60 4 3719 3682.1864 0.20928
2 RS_20190117_031015_raw01 / 005 Dark 17-Jan-2019 03:12:55 3 9 -60 4 3717 3680.1196 0.20924
2 RS_20190117_031015_raw01 / 006 Dark 17-Jan-2019 03:13:01 3 9 -60 4 3721 3680.6307 0.20922
2 RS_20190117_031015_raw01 / 005 Lite 17-Jan-2019 03:13:17 3 9 -60 4 60225 5103.5644 139.4574
2 RS_20190117_031015_raw01 / 006 Lite 17-Jan-2019 03:13:22 3 9 -60 4 60000 5103.972 139.454
2 RS_20190117_031015_raw01 / 007 Lite 17-Jan-2019 03:13:28 3 9 -60 4 60164 5104.5921 139.4607
2 RS_20190117_031015_raw01 / 008 Lite 17-Jan-2019 03:13:34 3 9 -60 4 60109 5105.1044 139.4604
2 RS_20190117_031015_raw01 / 007 Dark 17-Jan-2019 03:13:50 3 9 -60 4 3718 3682.2475 0.20907
2 RS_20190117_031015_raw01 / 008 Dark 17-Jan-2019 03:13:55 3 9 -60 4 3719 3682.1687 0.20922
3 RS_20190117_031015_raw01 / 009 Dark 17-Jan-2019 03:15:35 3 9 -60 4 3718 3680.2348 0.2096
3 RS_20190117_031015_raw01 / 010 Dark 17-Jan-2019 03:15:40 3 9 -60 4 3717 3680.7915 0.20928
3 RS_20190117_031015_raw01 / 009 Lite 17-Jan-2019 03:15:56 3 9 -60 4 60077 5103.8025 139.4627
3 RS_20190117_031015_raw01 / 010 Lite 17-Jan-2019 03:16:02 3 9 -60 4 60105 5104.3176 139.4723
3 RS_20190117_031015_raw01 / 011 Lite 17-Jan-2019 03:16:08 3 9 -60 4 60131 5104.848 139.4729
3 RS_20190117_031015_raw01 / 012 Lite 17-Jan-2019 03:16:13 3 9 -60 4 60180 5105.7295 139.495
3 RS_20190117_031015_raw01 / 011 Dark 17-Jan-2019 03:16:29 3 9 -60 4 3721 3682.2413 0.20908
3 RS_20190117_031015_raw01 / 012 Dark 17-Jan-2019 03:16:35 3 9 -60 4 3730 3682.2563 0.20944
4 RS_20190117_031015_raw01 / 013 Dark 17-Jan-2019 03:18:13 3 9 -60 4 3717 3680.168 0.20941
4 RS_20190117_031015_raw01 / 014 Dark 17-Jan-2019 03:18:18 3 9 -60 4 8116 3680.8189 0.24883
4 RS_20190117_031015_raw01 / 013 Lite 17-Jan-2019 03:18:34 3 9 -60 4 60132 5104.2164 139.4766
4 RS_20190117_031015_raw01 / 014 Lite 17-Jan-2019 03:18:40 3 9 -60 4 59990 5104.6479 139.4788
4 RS_20190117_031015_raw01 / 015 Lite 17-Jan-2019 03:18:45 3 9 -60 4 60231 5105.0683 139.4737
4 RS_20190117_031015_raw01 / 016 Lite 17-Jan-2019 03:18:51 3 9 -60 4 60165 5105.4157 139.47
4 RS_20190117_031015_raw01 / 015 Dark 17-Jan-2019 03:19:07 3 9 -60 4 3719 3682.2898 0.20908
4 RS_20190117_031015_raw01 / 016 Dark 17-Jan-2019 03:19:12 3 9 -60 4 3718 3682.3835 0.2095
5 RS_20190117_031015_raw01 / 017 Dark 17-Jan-2019 03:21:07 3 9 -60 4 3732 3680.2985 0.20919
5 RS_20190117_031015_raw01 / 018 Dark 17-Jan-2019 03:21:13 3 9 -60 4 3717 3680.7963 0.20962
5 RS_20190117_031015_raw01 / 017 Lite 17-Jan-2019 03:21:28 3 9 -60 4 60307 5104.3337 139.4743
5 RS_20190117_031015_raw01 / 018 Lite 17-Jan-2019 03:21:34 3 9 -60 4 59951 5104.9423 139.4784
5 RS_20190117_031015_raw01 / 019 Lite 17-Jan-2019 03:21:40 3 9 -60 4 60168 5105.3303 139.4732
5 RS_20190117_031015_raw01 / 020 Lite 17-Jan-2019 03:21:45 3 9 -60 4 60071 5105.6644 139.4741
5 RS_20190117_031015_raw01 / 019 Dark 17-Jan-2019 03:22:01 3 9 -60 4 3722 3682.483 0.20923
5 RS_20190117_031015_raw01 / 020 Dark 17-Jan-2019 03:22:07 3 9 -60 4 3718 3682.4808 0.20897
6 RS_20190117_031015_raw01 / 021 Dark 17-Jan-2019 03:31:16 3 9 -60 4 3716 3680.5883 0.20948
6 RS_20190117_031015_raw01 / 022 Dark 17-Jan-2019 03:31:21 3 9 -60 4 3720 3681.2043 0.20915
6 RS_20190117_031015_raw01 / 021 Lite 17-Jan-2019 03:31:37 3 9 -60 4 59055 5077.4384 137.5379
6 RS_20190117_031015_raw01 / 022 Lite 17-Jan-2019 03:31:43 3 9 -60 4 59229 5078.3673 137.5645
6 RS_20190117_031015_raw01 / 023 Lite 17-Jan-2019 03:31:48 3 9 -60 4 59089 5078.599 137.5433
6 RS_20190117_031015_raw01 / 024 Lite 17-Jan-2019 03:31:54 3 9 -60 4 58985 5079.023 137.5395
6 RS_20190117_031015_raw01 / 023 Dark 17-Jan-2019 03:32:10 3 9 -60 4 3720 3682.7382 0.20907
6 RS_20190117_031015_raw01 / 024 Dark 17-Jan-2019 03:32:16 3 9 -60 4 3721 3682.8945 0.20886
7 RS_20190117_031015_raw01 / 025 Dark 17-Jan-2019 03:34:14 3 9 -60 4 3719 3680.596 0.20934
7 RS_20190117_031015_raw01 / 026 Dark 17-Jan-2019 03:34:20 3 9 -60 4 3721 3681.2115 0.20932
7 RS_20190117_031015_raw01 / 025 Lite 17-Jan-2019 03:34:36 3 9 -60 4 58900 5077.2197 137.5123
7 RS_20190117_031015_raw01 / 026 Lite 17-Jan-2019 03:34:41 3 9 -60 4 59122 5078.114 137.5404
7 RS_20190117_031015_raw01 / 027 Lite 17-Jan-2019 03:34:47 3 9 -60 4 58978 5078.4418 137.5321
7 RS_20190117_031015_raw01 / 028 Lite 17-Jan-2019 03:34:53 3 9 -60 4 58868 5079.1782 137.5408
7 RS_20190117_031015_raw01 / 027 Dark 17-Jan-2019 03:35:08 3 9 -60 4 3721 3682.7576 0.20929
7 RS_20190117_031015_raw01 / 028 Dark 17-Jan-2019 03:35:14 3 9 -60 4 4887 3683.0284 0.21613
8 RS_20190117_031015_raw01 / 029 Dark 17-Jan-2019 03:36:59 3 9 -60 4 3719 3680.6453 0.2095
8 RS_20190117_031015_raw01 / 030 Dark 17-Jan-2019 03:37:05 3 9 -60 4 3722 3681.2901 0.20904
8 RS_20190117_031015_raw01 / 029 Lite 17-Jan-2019 03:37:20 3 9 -60 4 59106 5077.1067 137.5099
8 RS_20190117_031015_raw01 / 030 Lite 17-Jan-2019 03:37:26 3 9 -60 4 58992 5077.9576 137.5303
8 RS_20190117_031015_raw01 / 031 Lite 17-Jan-2019 03:37:32 3 9 -60 4 59115 5078.7031 137.5397
8 RS_20190117_031015_raw01 / 032 Lite 17-Jan-2019 03:37:37 3 9 -60 4 58883 5079.0111 137.5318
8 RS_20190117_031015_raw01 / 031 Dark 17-Jan-2019 03:37:53 3 9 -60 4 3722 3682.8621 0.20919
8 RS_20190117_031015_raw01 / 032 Dark 17-Jan-2019 03:37:59 3 9 -60 4 3721 3682.9958 0.20909
9 RS_20190117_031015_raw01 / 033 Dark 17-Jan-2019 03:40:07 3 9 -60 4 4681 3680.5332 0.21701
9 RS_20190117_031015_raw01 / 034 Dark 17-Jan-2019 03:40:13 3 9 -60 4 3719 3681.2377 0.2093
9 RS_20190117_031015_raw01 / 033 Lite 17-Jan-2019 03:40:29 3 9 -60 4 59000 5077.2286 137.5242
9 RS_20190117_031015_raw01 / 034 Lite 17-Jan-2019 03:40:34 3 9 -60 4 59201 5078.3891 137.5382
9 RS_20190117_031015_raw01 / 035 Lite 17-Jan-2019 03:40:40 3 9 -60 4 58957 5078.9928 137.5434
9 RS_20190117_031015_raw01 / 036 Lite 17-Jan-2019 03:40:45 3 9 -60 4 59095 5078.9243 137.5101
9 RS_20190117_031015_raw01 / 035 Dark 17-Jan-2019 03:41:01 3 9 -60 4 3723 3682.7935 0.20916
9 RS_20190117_031015_raw01 / 036 Dark 17-Jan-2019 03:41:07 3 9 -60 4 3718 3682.9863 0.209
10 RS_20190117_031015_raw01 / 037 Dark 17-Jan-2019 03:48:24 3 9 -60 4 3719 3680.4627 0.20913
10 RS_20190117_031015_raw01 / 038 Dark 17-Jan-2019 03:48:29 3 9 -60 4 3717 3681.1911 0.20921
10 RS_20190117_031015_raw01 / 037 Lite 17-Jan-2019 03:48:45 3 9 -60 4 58618 5072.6266 137.1592
10 RS_20190117_031015_raw01 / 038 Lite 17-Jan-2019 03:48:51 3 9 -60 4 58870 5072.9683 137.1434
10 RS_20190117_031015_raw01 / 039 Lite 17-Jan-2019 03:48:56 3 9 -60 4 58823 5073.2945 137.1296
10 RS_20190117_031015_raw01 / 040 Lite 17-Jan-2019 03:49:02 3 9 -60 4 58699 5073.5052 137.1082
10 RS_20190117_031015_raw01 / 039 Dark 17-Jan-2019 03:49:18 3 9 -60 4 5718 3682.8983 0.21699
10 RS_20190117_031015_raw01 / 040 Dark 17-Jan-2019 03:49:23 3 9 -60 4 3720 3683.0616 0.20905
11 RS_20190117_031015_raw01 / 041 Dark 17-Jan-2019 03:51:27 3 9 -60 4 3722 3680.7832 0.20932
11 RS_20190117_031015_raw01 / 042 Dark 17-Jan-2019 03:51:32 3 9 -60 4 3720 3681.4954 0.20918
11 RS_20190117_031015_raw01 / 041 Lite 17-Jan-2019 03:51:48 3 9 -60 4 58839 5072.0028 137.1203
11 RS_20190117_031015_raw01 / 042 Lite 17-Jan-2019 03:51:54 3 9 -60 4 58853 5072.9422 137.1447
11 RS_20190117_031015_raw01 / 043 Lite 17-Jan-2019 03:51:59 3 9 -60 4 58713 5073.5961 137.1472
11 RS_20190117_031015_raw01 / 044 Lite 17-Jan-2019 03:52:05 3 9 -60 4 58823 5073.7791 137.1227
11 RS_20190117_031015_raw01 / 043 Dark 17-Jan-2019 03:52:21 3 9 -60 4 3727 3683.0618 0.20906
11 RS_20190117_031015_raw01 / 044 Dark 17-Jan-2019 03:52:26 3 9 -60 4 3719 3683.1733 0.20889
12 RS_20190117_031015_raw01 / 045 Dark 17-Jan-2019 03:54:07 3 9 -60 4 3717 3680.954 0.20907
12 RS_20190117_031015_raw01 / 046 Dark 17-Jan-2019 03:54:13 3 9 -60 4 3719 3681.5624 0.20914
12 RS_20190117_031015_raw01 / 045 Lite 17-Jan-2019 03:54:28 3 9 -60 4 58736 5071.9435 137.1081
12 RS_20190117_031015_raw01 / 046 Lite 17-Jan-2019 03:54:34 3 9 -60 4 59004 5072.7436 137.1258
12 RS_20190117_031015_raw01 / 047 Lite 17-Jan-2019 03:54:40 3 9 -60 4 58767 5073.1856 137.1233
12 RS_20190117_031015_raw01 / 048 Lite 17-Jan-2019 03:54:45 3 9 -60 4 58729 5073.7828 137.1122
12 RS_20190117_031015_raw01 / 047 Dark 17-Jan-2019 03:55:01 3 9 -60 4 3725 3682.9724 0.20903
12 RS_20190117_031015_raw01 / 048 Dark 17-Jan-2019 03:55:07 3 9 -60 4 3721 3683.2863 0.20931
13 RS_20190117_031015_raw01 / 049 Dark 17-Jan-2019 03:56:58 3 9 -60 4 3718 3680.9532 0.20958
13 RS_20190117_031015_raw01 / 050 Dark 17-Jan-2019 03:57:03 3 9 -60 4 3720 3681.5422 0.20945
13 RS_20190117_031015_raw01 / 049 Lite 17-Jan-2019 03:57:19 3 9 -60 4 58810 5072.3803 137.1212
13 RS_20190117_031015_raw01 / 050 Lite 17-Jan-2019 03:57:25 3 9 -60 4 59046 5072.7438 137.1158
13 RS_20190117_031015_raw01 / 051 Lite 17-Jan-2019 03:57:30 3 9 -60 4 59083 5073.5673 137.1196
13 RS_20190117_031015_raw01 / 052 Lite 17-Jan-2019 03:57:36 3 9 -60 4 58794 5074.0015 137.1152
13 RS_20190117_031015_raw01 / 051 Dark 17-Jan-2019 03:57:52 3 9 -60 4 3723 3683.2757 0.20939
13 RS_20190117_031015_raw01 / 052 Dark 17-Jan-2019 03:57:57 3 9 -60 4 3720 3683.3475 0.20935
14 RS_20190117_031015_raw01 / 053 Dark 17-Jan-2019 04:02:09 3 9 -60 4 3717 3680.8743 0.20898
14 RS_20190117_031015_raw01 / 054 Dark 17-Jan-2019 04:02:15 3 9 -60 4 3718 3681.6634 0.2094
14 RS_20190117_031015_raw01 / 053 Lite 17-Jan-2019 04:02:31 3 9 -60 4 58994 5078.3701 137.5493
14 RS_20190117_031015_raw01 / 054 Lite 17-Jan-2019 04:02:36 3 9 -60 4 59022 5079.1224 137.5585
14 RS_20190117_031015_raw01 / 055 Lite 17-Jan-2019 04:02:42 3 9 -60 4 59103 5080.0124 137.5823
14 RS_20190117_031015_raw01 / 056 Lite 17-Jan-2019 04:02:48 3 9 -60 4 58941 5080.1998 137.5521
14 RS_20190117_031015_raw01 / 055 Dark 17-Jan-2019 04:03:04 3 9 -60 4 3720 3683.1569 0.2095
14 RS_20190117_031015_raw01 / 056 Dark 17-Jan-2019 04:03:09 3 9 -60 4 3721 3683.3696 0.2092
15 RS_20190117_031015_raw01 / 057 Dark 17-Jan-2019 04:04:50 3 9 -60 4 3722 3680.9379 0.20899
15 RS_20190117_031015_raw01 / 058 Dark 17-Jan-2019 04:04:56 3 9 -60 4 3721 3681.6641 0.20928
15 RS_20190117_031015_raw01 / 057 Lite 17-Jan-2019 04:05:12 3 9 -60 4 59073 5078.8263 137.586
15 RS_20190117_031015_raw01 / 058 Lite 17-Jan-2019 04:05:17 3 9 -60 4 59094 5079.2154 137.5681
15 RS_20190117_031015_raw01 / 059 Lite 17-Jan-2019 04:05:23 3 9 -60 4 59079 5080.0379 137.5864
15 RS_20190117_031015_raw01 / 060 Lite 17-Jan-2019 04:05:29 3 9 -60 4 59371 5080.3318 137.5753
15 RS_20190117_031015_raw01 / 059 Dark 17-Jan-2019 04:05:45 3 9 -60 4 3719 3683.1652 0.20902
15 RS_20190117_031015_raw01 / 060 Dark 17-Jan-2019 04:05:50 3 9 -60 4 3722 3683.2473 0.20925
16 RS_20190117_031015_raw01 / 061 Dark 17-Jan-2019 04:07:34 3 9 -60 4 3724 3681.0265 0.20904
16 RS_20190117_031015_raw01 / 062 Dark 17-Jan-2019 04:07:39 3 9 -60 4 3725 3681.6258 0.20928
16 RS_20190117_031015_raw01 / 061 Lite 17-Jan-2019 04:07:55 3 9 -60 4 59147 5078.3866 137.5544
16 RS_20190117_031015_raw01 / 062 Lite 17-Jan-2019 04:08:01 3 9 -60 4 59312 5079.6516 137.5837
16 RS_20190117_031015_raw01 / 063 Lite 17-Jan-2019 04:08:07 3 9 -60 4 59122 5080.0564 137.5697
16 RS_20190117_031015_raw01 / 064 Lite 17-Jan-2019 04:08:12 3 9 -60 4 59369 5080.3036 137.5589
16 RS_20190117_031015_raw01 / 063 Dark 17-Jan-2019 04:08:28 3 9 -60 4 5872 3683.2677 0.22129
16 RS_20190117_031015_raw01 / 064 Dark 17-Jan-2019 04:08:34 3 9 -60 4 3718 3683.4978 0.20908
17 RS_20190117_031015_raw01 / 065 Dark 17-Jan-2019 04:10:16 3 9 -60 4 4958 3681.1442 0.2135
17 RS_20190117_031015_raw01 / 066 Dark 17-Jan-2019 04:10:21 3 9 -60 4 3729 3681.7695 0.20869
17 RS_20190117_031015_raw01 / 065 Lite 17-Jan-2019 04:10:37 3 9 -60 4 59301 5078.8441 137.579
17 RS_20190117_031015_raw01 / 066 Lite 17-Jan-2019 04:10:43 3 9 -60 4 59054 5079.7782 137.589
17 RS_20190117_031015_raw01 / 067 Lite 17-Jan-2019 04:10:48 3 9 -60 4 59089 5080.0739 137.5699
17 RS_20190117_031015_raw01 / 068 Lite 17-Jan-2019 04:10:54 3 9 -60 4 59019 5080.8393 137.5827
17 RS_20190117_031015_raw01 / 067 Dark 17-Jan-2019 04:11:10 3 9 -60 4 3722 3683.2636 0.20888
17 RS_20190117_031015_raw01 / 068 Dark 17-Jan-2019 04:11:15 3 9 -60 4 3722 3683.5229 0.20891
18 RS_20190117_031015_raw01 / 069 Dark 17-Jan-2019 04:15:55 3 9 -60 4 3718 3681.1712 0.20888
18 RS_20190117_031015_raw01 / 070 Dark 17-Jan-2019 04:16:01 3 9 -60 4 3718 3681.8292 0.20885
18 RS_20190117_031015_raw01 / 069 Lite 17-Jan-2019 04:16:16 3 9 -60 4 59904 5106.0216 139.496
18 RS_20190117_031015_raw01 / 070 Lite 17-Jan-2019 04:16:22 3 9 -60 4 60071 5106.8854 139.5057
18 RS_20190117_031015_raw01 / 071 Lite 17-Jan-2019 04:16:28 3 9 -60 4 60119 5107.3299 139.5028
18 RS_20190117_031015_raw01 / 072 Lite 17-Jan-2019 04:16:33 3 9 -60 4 60123 5107.9165 139.4947
18 RS_20190117_031015_raw01 / 071 Dark 17-Jan-2019 04:16:49 3 9 -60 4 3722 3683.4281 0.20905
18 RS_20190117_031015_raw01 / 072 Dark 17-Jan-2019 04:16:55 3 9 -60 4 3720 3683.7638 0.20914
19 RS_20190117_031015_raw01 / 073 Dark 17-Jan-2019 04:18:39 3 9 -60 4 3723 3681.2761 0.20896
19 RS_20190117_031015_raw01 / 074 Dark 17-Jan-2019 04:18:44 3 9 -60 4 3721 3681.8339 0.2091
19 RS_20190117_031015_raw01 / 073 Lite 17-Jan-2019 04:19:00 3 9 -60 4 60013 5106.0746 139.4911
19 RS_20190117_031015_raw01 / 074 Lite 17-Jan-2019 04:19:06 3 9 -60 4 60134 5106.8566 139.4858
19 RS_20190117_031015_raw01 / 075 Lite 17-Jan-2019 04:19:11 3 9 -60 4 59985 5107.3696 139.4824
19 RS_20190117_031015_raw01 / 076 Lite 17-Jan-2019 04:19:17 3 9 -60 4 60041 5107.5555 139.4632
19 RS_20190117_031015_raw01 / 075 Dark 17-Jan-2019 04:19:33 3 9 -60 4 3723 3683.475 0.20922
19 RS_20190117_031015_raw01 / 076 Dark 17-Jan-2019 04:19:38 3 9 -60 4 3727 3683.8215 0.20902
20 RS_20190117_031015_raw01 / 077 Dark 17-Jan-2019 04:21:20 3 9 -60 4 3729 3681.3114 0.20909
20 RS_20190117_031015_raw01 / 078 Dark 17-Jan-2019 04:21:25 3 9 -60 4 3723 3681.9693 0.20903
20 RS_20190117_031015_raw01 / 077 Lite 17-Jan-2019 04:21:41 3 9 -60 4 60145 5106.1667 139.4865
20 RS_20190117_031015_raw01 / 078 Lite 17-Jan-2019 04:21:47 3 9 -60 4 60125 5107.2401 139.513
20 RS_20190117_031015_raw01 / 079 Lite 17-Jan-2019 04:21:52 3 9 -60 4 60197 5107.492 139.502
20 RS_20190117_031015_raw01 / 080 Lite 17-Jan-2019 04:21:58 3 9 -60 4 60122 5107.558 139.4649
20 RS_20190117_031015_raw01 / 079 Dark 17-Jan-2019 04:22:14 3 9 -60 4 3722 3683.5516 0.20894
20 RS_20190117_031015_raw01 / 080 Dark 17-Jan-2019 04:22:19 3 9 -60 4 3723 3683.7215 0.20883
21 RS_20190117_031015_raw01 / 081 Dark 17-Jan-2019 04:23:59 3 9 -60 4 3720 3681.2846 0.20915
21 RS_20190117_031015_raw01 / 082 Dark 17-Jan-2019 04:24:05 3 9 -60 4 3729 3681.9323 0.20876
21 RS_20190117_031015_raw01 / 081 Lite 17-Jan-2019 04:24:21 3 9 -60 4 60179 5106.1415 139.4759
21 RS_20190117_031015_raw01 / 082 Lite 17-Jan-2019 04:24:26 3 9 -60 4 60031 5106.6896 139.4707
21 RS_20190117_031015_raw01 / 083 Lite 17-Jan-2019 04:24:32 3 9 -60 4 60127 5107.154 139.4728
21 RS_20190117_031015_raw01 / 084 Lite 17-Jan-2019 04:24:37 3 9 -60 4 60122 5108.0413 139.4869
21 RS_20190117_031015_raw01 / 083 Dark 17-Jan-2019 04:24:53 3 9 -60 4 3722 3683.624 0.20891
21 RS_20190117_031015_raw01 / 084 Dark 17-Jan-2019 04:24:59 3 9 -60 4 6001 3683.7516 0.22924
Grouped Image file: RS_20190117_N001_grouped.html
Grouped Image file: RS_20190117_N002_grouped.html
Grouped Image file: RS_20190117_N003_grouped.html
Grouped Image file: RS_20190117_N005_grouped.html
Grouped Image file: RS_20190117_N006_grouped.html
Grouped Image file: RS_20190117_N007_grouped.html
Grouped Image file: RS_20190117_N009_grouped.html
Grouped Image file: RS_20190117_N020_grouped.html
Grouped Image file: RS_20190117_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\RS4cal
Date: 28-Jan-2019 12:50:59
Created from mkhtml2_(1)