RS_20190118_013936_raw01 - Day 7

REVISION DATE: 28-Jan-2019 12:51:37

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_20190118_013936_raw01 / 001 Dark 18-Jan-2019 01:39:36 3 9 -60 4 3718 3680.6308 0.20887
1 RS_20190118_013936_raw01 / 002 Dark 18-Jan-2019 01:39:41 3 9 -60 4 3723 3681.2095 0.20919
1 RS_20190118_013936_raw01 / 001 Lite 18-Jan-2019 01:39:57 3 9 -60 4 60075 5102.3253 139.313
1 RS_20190118_013936_raw01 / 002 Lite 18-Jan-2019 01:40:03 3 9 -60 4 60034 5103.1409 139.3473
1 RS_20190118_013936_raw01 / 003 Lite 18-Jan-2019 01:40:08 3 9 -60 4 59964 5103.5706 139.3508
1 RS_20190118_013936_raw01 / 004 Lite 18-Jan-2019 01:40:14 3 9 -60 4 60017 5104.2925 139.359
1 RS_20190118_013936_raw01 / 003 Dark 18-Jan-2019 01:40:30 3 9 -60 4 3724 3682.8753 0.20891
1 RS_20190118_013936_raw01 / 004 Dark 18-Jan-2019 01:40:35 3 9 -60 4 3719 3682.7882 0.20883
2 RS_20190118_013936_raw01 / 005 Dark 18-Jan-2019 01:43:05 3 9 -60 4 3721 3680.7066 0.20918
2 RS_20190118_013936_raw01 / 006 Dark 18-Jan-2019 01:43:11 3 9 -60 4 3721 3681.4224 0.20866
2 RS_20190118_013936_raw01 / 005 Lite 18-Jan-2019 01:43:26 3 9 -60 4 60073 5103.5271 139.3961
2 RS_20190118_013936_raw01 / 006 Lite 18-Jan-2019 01:43:32 3 9 -60 4 60171 5103.8071 139.3852
2 RS_20190118_013936_raw01 / 007 Lite 18-Jan-2019 01:43:38 3 9 -60 4 59980 5104.3095 139.3756
2 RS_20190118_013936_raw01 / 008 Lite 18-Jan-2019 01:43:43 3 9 -60 4 59895 5104.884 139.3948
2 RS_20190118_013936_raw01 / 007 Dark 18-Jan-2019 01:43:59 3 9 -60 4 3726 3682.9134 0.20912
2 RS_20190118_013936_raw01 / 008 Dark 18-Jan-2019 01:44:05 3 9 -60 4 3720 3682.8861 0.20902
3 RS_20190118_013936_raw01 / 009 Dark 18-Jan-2019 01:46:38 3 9 -60 4 3719 3680.8757 0.20924
3 RS_20190118_013936_raw01 / 010 Dark 18-Jan-2019 01:46:44 3 9 -60 4 3720 3681.3822 0.20891
3 RS_20190118_013936_raw01 / 009 Lite 18-Jan-2019 01:47:00 3 9 -60 4 60015 5103.7175 139.394
3 RS_20190118_013936_raw01 / 010 Lite 18-Jan-2019 01:47:05 3 9 -60 4 60102 5104.2716 139.3986
3 RS_20190118_013936_raw01 / 011 Lite 18-Jan-2019 01:47:11 3 9 -60 4 60010 5104.9283 139.4082
3 RS_20190118_013936_raw01 / 012 Lite 18-Jan-2019 01:47:16 3 9 -60 4 59932 5105.4885 139.4071
3 RS_20190118_013936_raw01 / 011 Dark 18-Jan-2019 01:47:32 3 9 -60 4 3720 3682.9852 0.20908
3 RS_20190118_013936_raw01 / 012 Dark 18-Jan-2019 01:47:38 3 9 -60 4 3726 3683.1565 0.20867
4 RS_20190118_013936_raw01 / 013 Dark 18-Jan-2019 01:49:32 3 9 -60 4 5638 3681.0135 0.21575
4 RS_20190118_013936_raw01 / 014 Dark 18-Jan-2019 01:49:38 3 9 -60 4 3719 3681.7386 0.20947
4 RS_20190118_013936_raw01 / 013 Lite 18-Jan-2019 01:49:54 3 9 -60 4 60270 5104.558 139.4135
4 RS_20190118_013936_raw01 / 014 Lite 18-Jan-2019 01:49:59 3 9 -60 4 60083 5104.6332 139.3838
4 RS_20190118_013936_raw01 / 015 Lite 18-Jan-2019 01:50:05 3 9 -60 4 60081 5105.4442 139.4046
4 RS_20190118_013936_raw01 / 016 Lite 18-Jan-2019 01:50:11 3 9 -60 4 60073 5105.4177 139.3813
4 RS_20190118_013936_raw01 / 015 Dark 18-Jan-2019 01:50:26 3 9 -60 4 3721 3683.1989 0.20951
4 RS_20190118_013936_raw01 / 016 Dark 18-Jan-2019 01:50:32 3 9 -60 4 3721 3683.3161 0.20896
5 RS_20190118_013936_raw01 / 017 Dark 18-Jan-2019 01:52:21 3 9 -60 4 4703 3681.0981 0.21355
5 RS_20190118_013936_raw01 / 018 Dark 18-Jan-2019 01:52:27 3 9 -60 4 3721 3681.779 0.20879
5 RS_20190118_013936_raw01 / 017 Lite 18-Jan-2019 01:52:42 3 9 -60 4 60085 5104.529 139.4062
5 RS_20190118_013936_raw01 / 018 Lite 18-Jan-2019 01:52:48 3 9 -60 4 60328 5105.3372 139.422
5 RS_20190118_013936_raw01 / 019 Lite 18-Jan-2019 01:52:54 3 9 -60 4 59924 5105.6602 139.4099
5 RS_20190118_013936_raw01 / 020 Lite 18-Jan-2019 01:52:59 3 9 -60 4 60172 5106.0152 139.4059
5 RS_20190118_013936_raw01 / 019 Dark 18-Jan-2019 01:53:15 3 9 -60 4 3722 3683.4293 0.20895
5 RS_20190118_013936_raw01 / 020 Dark 18-Jan-2019 01:53:21 3 9 -60 4 4483 3683.4077 0.21158
6 RS_20190118_013936_raw01 / 021 Dark 18-Jan-2019 02:03:55 3 9 -60 4 3718 3681.6513 0.20885
6 RS_20190118_013936_raw01 / 022 Dark 18-Jan-2019 02:04:00 3 9 -60 4 3718 3682.2979 0.20917
6 RS_20190118_013936_raw01 / 021 Lite 18-Jan-2019 02:04:16 3 9 -60 4 44623 4694.1587 108.1405
6 RS_20190118_013936_raw01 / 022 Lite 18-Jan-2019 02:04:22 3 9 -60 4 44596 4694.7625 108.1323
6 RS_20190118_013936_raw01 / 023 Lite 18-Jan-2019 02:04:27 3 9 -60 4 44391 4695.0307 108.1176
6 RS_20190118_013936_raw01 / 024 Lite 18-Jan-2019 02:04:33 3 9 -60 4 44338 4695.4868 108.1184
6 RS_20190118_013936_raw01 / 023 Dark 18-Jan-2019 02:04:49 3 9 -60 4 3720 3683.8523 0.20911
6 RS_20190118_013936_raw01 / 024 Dark 18-Jan-2019 02:04:55 3 9 -60 4 3723 3683.7715 0.20897
7 RS_20190118_013936_raw01 / 025 Dark 18-Jan-2019 02:06:33 3 9 -60 4 3723 3681.5774 0.20899
7 RS_20190118_013936_raw01 / 026 Dark 18-Jan-2019 02:06:39 3 9 -60 4 3732 3682.2058 0.20912
7 RS_20190118_013936_raw01 / 025 Lite 18-Jan-2019 02:06:55 3 9 -60 4 44791 4693.9066 108.109
7 RS_20190118_013936_raw01 / 026 Lite 18-Jan-2019 02:07:00 3 9 -60 4 44578 4694.6402 108.1126
7 RS_20190118_013936_raw01 / 027 Lite 18-Jan-2019 02:07:06 3 9 -60 4 44652 4694.626 108.0787
7 RS_20190118_013936_raw01 / 028 Lite 18-Jan-2019 02:07:12 3 9 -60 4 44642 4695.1689 108.0821
7 RS_20190118_013936_raw01 / 027 Dark 18-Jan-2019 02:07:27 3 9 -60 4 5783 3683.7143 0.22569
7 RS_20190118_013936_raw01 / 028 Dark 18-Jan-2019 02:07:33 3 9 -60 4 3725 3684.0188 0.20888
8 RS_20190118_013936_raw01 / 029 Dark 18-Jan-2019 02:09:18 3 9 -60 4 3721 3681.5401 0.20865
8 RS_20190118_013936_raw01 / 030 Dark 18-Jan-2019 02:09:23 3 9 -60 4 3722 3682.272 0.2087
8 RS_20190118_013936_raw01 / 029 Lite 18-Jan-2019 02:09:39 3 9 -60 4 44541 4693.6448 108.0788
8 RS_20190118_013936_raw01 / 030 Lite 18-Jan-2019 02:09:45 3 9 -60 4 44377 4694.4991 108.1011
8 RS_20190118_013936_raw01 / 031 Lite 18-Jan-2019 02:09:50 3 9 -60 4 44521 4694.8335 108.0873
8 RS_20190118_013936_raw01 / 032 Lite 18-Jan-2019 02:09:56 3 9 -60 4 44532 4695.3421 108.0881
8 RS_20190118_013936_raw01 / 031 Dark 18-Jan-2019 02:10:12 3 9 -60 4 3722 3683.9158 0.2093
8 RS_20190118_013936_raw01 / 032 Dark 18-Jan-2019 02:10:17 3 9 -60 4 3723 3684.0974 0.2088
9 RS_20190118_013936_raw01 / 033 Dark 18-Jan-2019 02:11:59 3 9 -60 4 3717 3681.6091 0.2093
9 RS_20190118_013936_raw01 / 034 Dark 18-Jan-2019 02:12:04 3 9 -60 4 3721 3682.3921 0.20943
9 RS_20190118_013936_raw01 / 033 Lite 18-Jan-2019 02:12:20 3 9 -60 4 44575 4693.922 108.079
9 RS_20190118_013936_raw01 / 034 Lite 18-Jan-2019 02:12:26 3 9 -60 4 44320 4694.3564 108.0683
9 RS_20190118_013936_raw01 / 035 Lite 18-Jan-2019 02:12:31 3 9 -60 4 44688 4695.4178 108.111
9 RS_20190118_013936_raw01 / 036 Lite 18-Jan-2019 02:12:37 3 9 -60 4 44812 4695.0074 108.0435
9 RS_20190118_013936_raw01 / 035 Dark 18-Jan-2019 02:12:53 3 9 -60 4 3721 3683.9487 0.20912
9 RS_20190118_013936_raw01 / 036 Dark 18-Jan-2019 02:12:58 3 9 -60 4 3721 3684.0245 0.20894
10 RS_20190118_013936_raw01 / 037 Dark 18-Jan-2019 02:18:23 3 9 -60 4 3719 3681.7577 0.20894
10 RS_20190118_013936_raw01 / 038 Dark 18-Jan-2019 02:18:29 3 9 -60 4 3721 3682.4234 0.20918
10 RS_20190118_013936_raw01 / 037 Lite 18-Jan-2019 02:18:45 3 9 -60 4 44249 4691.5513 107.8879
10 RS_20190118_013936_raw01 / 038 Lite 18-Jan-2019 02:18:50 3 9 -60 4 44388 4692.4349 107.9087
10 RS_20190118_013936_raw01 / 039 Lite 18-Jan-2019 02:18:56 3 9 -60 4 44374 4693.2302 107.9267
10 RS_20190118_013936_raw01 / 040 Lite 18-Jan-2019 02:19:02 3 9 -60 4 44397 4693.6153 107.9159
10 RS_20190118_013936_raw01 / 039 Dark 18-Jan-2019 02:19:17 3 9 -60 4 3720 3684.0125 0.20904
10 RS_20190118_013936_raw01 / 040 Dark 18-Jan-2019 02:19:23 3 9 -60 4 3729 3684.1675 0.20913
11 RS_20190118_013936_raw01 / 041 Dark 18-Jan-2019 02:21:03 3 9 -60 4 3721 3681.8259 0.20929
11 RS_20190118_013936_raw01 / 042 Dark 18-Jan-2019 02:21:09 3 9 -60 4 3719 3682.4377 0.20911
11 RS_20190118_013936_raw01 / 041 Lite 18-Jan-2019 02:21:25 3 9 -60 4 44532 4691.5205 107.8761
11 RS_20190118_013936_raw01 / 042 Lite 18-Jan-2019 02:21:31 3 9 -60 4 44604 4692.2344 107.884
11 RS_20190118_013936_raw01 / 043 Lite 18-Jan-2019 02:21:36 3 9 -60 4 44445 4692.5941 107.871
11 RS_20190118_013936_raw01 / 044 Lite 18-Jan-2019 02:21:42 3 9 -60 4 44413 4692.9781 107.8579
11 RS_20190118_013936_raw01 / 043 Dark 18-Jan-2019 02:21:58 3 9 -60 4 3724 3684.1176 0.20868
11 RS_20190118_013936_raw01 / 044 Dark 18-Jan-2019 02:22:03 3 9 -60 4 11688 3684.3024 0.3579
12 RS_20190118_013936_raw01 / 045 Dark 18-Jan-2019 02:24:06 3 9 -60 4 3721 3681.7382 0.20897
12 RS_20190118_013936_raw01 / 046 Dark 18-Jan-2019 02:24:12 3 9 -60 4 3719 3682.4996 0.20931
12 RS_20190118_013936_raw01 / 045 Lite 18-Jan-2019 02:24:28 3 9 -60 4 44455 4691.6716 107.8897
12 RS_20190118_013936_raw01 / 046 Lite 18-Jan-2019 02:24:33 3 9 -60 4 44424 4692.3144 107.8967
12 RS_20190118_013936_raw01 / 047 Lite 18-Jan-2019 02:24:39 3 9 -60 4 44508 4692.9629 107.8959
12 RS_20190118_013936_raw01 / 048 Lite 18-Jan-2019 02:24:44 3 9 -60 4 44490 4693.2412 107.8856
12 RS_20190118_013936_raw01 / 047 Dark 18-Jan-2019 02:25:00 3 9 -60 4 3724 3684.2157 0.20923
12 RS_20190118_013936_raw01 / 048 Dark 18-Jan-2019 02:25:06 3 9 -60 4 4631 3684.4091 0.21133
13 RS_20190118_013936_raw01 / 049 Dark 18-Jan-2019 02:27:16 3 9 -60 4 3720 3681.9357 0.20901
13 RS_20190118_013936_raw01 / 050 Dark 18-Jan-2019 02:27:22 3 9 -60 4 3720 3682.5236 0.209
13 RS_20190118_013936_raw01 / 049 Lite 18-Jan-2019 02:27:38 3 9 -60 4 44325 4691.5075 107.8692
13 RS_20190118_013936_raw01 / 050 Lite 18-Jan-2019 02:27:43 3 9 -60 4 44184 4692.3511 107.889
13 RS_20190118_013936_raw01 / 051 Lite 18-Jan-2019 02:27:49 3 9 -60 4 44250 4692.909 107.8855
13 RS_20190118_013936_raw01 / 052 Lite 18-Jan-2019 02:27:54 3 9 -60 4 44475 4693.0751 107.86
13 RS_20190118_013936_raw01 / 051 Dark 18-Jan-2019 02:28:10 3 9 -60 4 3723 3684.1759 0.20901
13 RS_20190118_013936_raw01 / 052 Dark 18-Jan-2019 02:28:16 3 9 -60 4 3721 3684.3451 0.20894
14 RS_20190118_013936_raw01 / 053 Dark 18-Jan-2019 02:32:26 3 9 -60 4 3720 3681.7355 0.20892
14 RS_20190118_013936_raw01 / 054 Dark 18-Jan-2019 02:32:32 3 9 -60 4 3722 3682.5029 0.20908
14 RS_20190118_013936_raw01 / 053 Lite 18-Jan-2019 02:32:48 3 9 -60 4 44445 4691.9535 107.8974
14 RS_20190118_013936_raw01 / 054 Lite 18-Jan-2019 02:32:53 3 9 -60 4 44526 4692.7956 107.9262
14 RS_20190118_013936_raw01 / 055 Lite 18-Jan-2019 02:32:59 3 9 -60 4 44447 4693.2783 107.9155
14 RS_20190118_013936_raw01 / 056 Lite 18-Jan-2019 02:33:05 3 9 -60 4 44413 4693.5686 107.8996
14 RS_20190118_013936_raw01 / 055 Dark 18-Jan-2019 02:33:20 3 9 -60 4 3721 3684.1282 0.20866
14 RS_20190118_013936_raw01 / 056 Dark 18-Jan-2019 02:33:26 3 9 -60 4 3720 3684.3872 0.20936
15 RS_20190118_013936_raw01 / 057 Dark 18-Jan-2019 02:35:26 3 9 -60 4 3719 3681.8646 0.20934
15 RS_20190118_013936_raw01 / 058 Dark 18-Jan-2019 02:35:32 3 9 -60 4 3720 3682.5764 0.20922
15 RS_20190118_013936_raw01 / 057 Lite 18-Jan-2019 02:35:48 3 9 -60 4 44329 4692.1876 107.9165
15 RS_20190118_013936_raw01 / 058 Lite 18-Jan-2019 02:35:53 3 9 -60 4 44333 4692.4578 107.8937
15 RS_20190118_013936_raw01 / 059 Lite 18-Jan-2019 02:35:59 3 9 -60 4 44570 4693.3159 107.9216
15 RS_20190118_013936_raw01 / 060 Lite 18-Jan-2019 02:36:04 3 9 -60 4 44555 4693.8621 107.9104
15 RS_20190118_013936_raw01 / 059 Dark 18-Jan-2019 02:36:20 3 9 -60 4 3721 3684.1467 0.20962
15 RS_20190118_013936_raw01 / 060 Dark 18-Jan-2019 02:36:26 3 9 -60 4 3721 3684.3386 0.20916
16 RS_20190118_013936_raw01 / 061 Dark 18-Jan-2019 02:38:09 3 9 -60 4 3721 3681.9318 0.20888
16 RS_20190118_013936_raw01 / 062 Dark 18-Jan-2019 02:38:15 3 9 -60 4 3722 3682.6512 0.20913
16 RS_20190118_013936_raw01 / 061 Lite 18-Jan-2019 02:38:31 3 9 -60 4 44593 4692.159 107.8999
16 RS_20190118_013936_raw01 / 062 Lite 18-Jan-2019 02:38:36 3 9 -60 4 44512 4692.923 107.9254
16 RS_20190118_013936_raw01 / 063 Lite 18-Jan-2019 02:38:42 3 9 -60 4 44300 4693.4787 107.9225
16 RS_20190118_013936_raw01 / 064 Lite 18-Jan-2019 02:38:48 3 9 -60 4 44289 4693.9081 107.9018
16 RS_20190118_013936_raw01 / 063 Dark 18-Jan-2019 02:39:03 3 9 -60 4 3721 3684.1339 0.20904
16 RS_20190118_013936_raw01 / 064 Dark 18-Jan-2019 02:39:09 3 9 -60 4 3733 3684.4249 0.20899
17 RS_20190118_013936_raw01 / 065 Dark 18-Jan-2019 02:40:50 3 9 -60 4 3717 3682.0559 0.20905
17 RS_20190118_013936_raw01 / 066 Dark 18-Jan-2019 02:40:56 3 9 -60 4 3721 3682.7354 0.20888
17 RS_20190118_013936_raw01 / 065 Lite 18-Jan-2019 02:41:12 3 9 -60 4 44333 4692.3688 107.9089
17 RS_20190118_013936_raw01 / 066 Lite 18-Jan-2019 02:41:17 3 9 -60 4 44454 4692.8491 107.9157
17 RS_20190118_013936_raw01 / 067 Lite 18-Jan-2019 02:41:23 3 9 -60 4 44438 4693.1023 107.9044
17 RS_20190118_013936_raw01 / 068 Lite 18-Jan-2019 02:41:28 3 9 -60 4 44412 4694.1265 107.9337
17 RS_20190118_013936_raw01 / 067 Dark 18-Jan-2019 02:41:44 3 9 -60 4 3721 3684.094 0.20925
17 RS_20190118_013936_raw01 / 068 Dark 18-Jan-2019 02:41:50 3 9 -60 4 3720 3684.2873 0.20899
18 RS_20190118_013936_raw01 / 069 Dark 18-Jan-2019 02:52:53 3 9 -60 4 3720 3681.5853 0.20931
18 RS_20190118_013936_raw01 / 070 Dark 18-Jan-2019 02:52:58 3 9 -60 4 3720 3682.4154 0.20885
18 RS_20190118_013936_raw01 / 069 Lite 18-Jan-2019 02:53:14 3 9 -60 4 43916 4683.374 107.2052
18 RS_20190118_013936_raw01 / 070 Lite 18-Jan-2019 02:53:20 3 9 -60 4 43890 4683.7067 107.1972
18 RS_20190118_013936_raw01 / 071 Lite 18-Jan-2019 02:53:25 3 9 -60 4 44089 4684.6285 107.2026
18 RS_20190118_013936_raw01 / 072 Lite 18-Jan-2019 02:53:31 3 9 -60 4 44120 4684.9692 107.1981
18 RS_20190118_013936_raw01 / 071 Dark 18-Jan-2019 02:53:47 3 9 -60 4 3719 3683.9427 0.20904
18 RS_20190118_013936_raw01 / 072 Dark 18-Jan-2019 02:53:52 3 9 -60 4 3720 3684.2245 0.20896
19 RS_20190118_013936_raw01 / 073 Dark 18-Jan-2019 02:55:32 3 9 -60 4 3719 3681.7811 0.2091
19 RS_20190118_013936_raw01 / 074 Dark 18-Jan-2019 02:55:38 3 9 -60 4 3720 3682.4289 0.20912
19 RS_20190118_013936_raw01 / 073 Lite 18-Jan-2019 02:55:54 3 9 -60 4 44334 4683.3706 107.2128
19 RS_20190118_013936_raw01 / 074 Lite 18-Jan-2019 02:55:59 3 9 -60 4 44225 4684.1215 107.2225
19 RS_20190118_013936_raw01 / 075 Lite 18-Jan-2019 02:56:05 3 9 -60 4 44086 4684.4857 107.2114
19 RS_20190118_013936_raw01 / 076 Lite 18-Jan-2019 02:56:11 3 9 -60 4 44104 4684.7354 107.1819
19 RS_20190118_013936_raw01 / 075 Dark 18-Jan-2019 02:56:26 3 9 -60 4 3724 3683.9673 0.20881
19 RS_20190118_013936_raw01 / 076 Dark 18-Jan-2019 02:56:32 3 9 -60 4 3721 3684.1708 0.20887
20 RS_20190118_013936_raw01 / 077 Dark 18-Jan-2019 02:58:26 3 9 -60 4 3719 3681.7884 0.20902
20 RS_20190118_013936_raw01 / 078 Dark 18-Jan-2019 02:58:31 3 9 -60 4 3728 3682.4545 0.20894
20 RS_20190118_013936_raw01 / 077 Lite 18-Jan-2019 02:58:47 3 9 -60 4 44087 4683.1117 107.1892
20 RS_20190118_013936_raw01 / 078 Lite 18-Jan-2019 02:58:53 3 9 -60 4 44183 4684.0289 107.2284
20 RS_20190118_013936_raw01 / 079 Lite 18-Jan-2019 02:58:58 3 9 -60 4 43979 4684.4402 107.2093
20 RS_20190118_013936_raw01 / 080 Lite 18-Jan-2019 02:59:04 3 9 -60 4 44056 4684.709 107.1875
20 RS_20190118_013936_raw01 / 079 Dark 18-Jan-2019 02:59:20 3 9 -60 4 7650 3683.8327 0.25635
20 RS_20190118_013936_raw01 / 080 Dark 18-Jan-2019 02:59:25 3 9 -60 4 3723 3684.1118 0.20876
21 RS_20190118_013936_raw01 / 081 Dark 18-Jan-2019 03:01:19 3 9 -60 4 3719 3681.7098 0.20914
21 RS_20190118_013936_raw01 / 082 Dark 18-Jan-2019 03:01:25 3 9 -60 4 3719 3682.334 0.20891
21 RS_20190118_013936_raw01 / 081 Lite 18-Jan-2019 03:01:41 3 9 -60 4 44080 4683.3375 107.2045
21 RS_20190118_013936_raw01 / 082 Lite 18-Jan-2019 03:01:46 3 9 -60 4 43993 4683.9843 107.2125
21 RS_20190118_013936_raw01 / 083 Lite 18-Jan-2019 03:01:52 3 9 -60 4 44081 4684.4398 107.186
21 RS_20190118_013936_raw01 / 084 Lite 18-Jan-2019 03:01:58 3 9 -60 4 44160 4684.7658 107.1823
21 RS_20190118_013936_raw01 / 083 Dark 18-Jan-2019 03:02:13 3 9 -60 4 3722 3683.864 0.20942
21 RS_20190118_013936_raw01 / 084 Dark 18-Jan-2019 03:02:19 3 9 -60 4 4851 3684.1461 0.21224
22 RS_20190118_013936_raw01 / 085 Dark 18-Jan-2019 03:08:26 3 9 -60 4 3719 3681.5604 0.20907
22 RS_20190118_013936_raw01 / 086 Dark 18-Jan-2019 03:08:31 3 9 -60 4 3723 3682.1226 0.20912
22 RS_20190118_013936_raw01 / 085 Lite 18-Jan-2019 03:08:47 3 9 -60 4 44179 4682.4117 107.1451
22 RS_20190118_013936_raw01 / 086 Lite 18-Jan-2019 03:08:53 3 9 -60 4 44036 4683.2159 107.1639
22 RS_20190118_013936_raw01 / 087 Lite 18-Jan-2019 03:08:58 3 9 -60 4 44144 4683.6825 107.1533
22 RS_20190118_013936_raw01 / 088 Lite 18-Jan-2019 03:09:04 3 9 -60 4 44155 4683.9314 107.1329
22 RS_20190118_013936_raw01 / 087 Dark 18-Jan-2019 03:09:20 3 9 -60 4 3721 3683.7944 0.20893
22 RS_20190118_013936_raw01 / 088 Dark 18-Jan-2019 03:09:25 3 9 -60 4 3719 3683.9891 0.20935
23 RS_20190118_013936_raw01 / 089 Dark 18-Jan-2019 03:36:07 3 9 -60 4 4518 3680.9291 0.21421
23 RS_20190118_013936_raw01 / 090 Dark 18-Jan-2019 03:36:13 3 9 -60 4 3723 3681.5084 0.20893
23 RS_20190118_013936_raw01 / 089 Lite 18-Jan-2019 03:36:28 3 9 -60 4 44222 4682.4405 107.2043
23 RS_20190118_013936_raw01 / 090 Lite 18-Jan-2019 03:36:34 3 9 -60 4 44238 4683.4246 107.2342
23 RS_20190118_013936_raw01 / 091 Lite 18-Jan-2019 03:36:40 3 9 -60 4 44269 4683.8081 107.2233
23 RS_20190118_013936_raw01 / 092 Lite 18-Jan-2019 03:36:45 3 9 -60 4 44091 4683.9979 107.2159
23 RS_20190118_013936_raw01 / 091 Dark 18-Jan-2019 03:37:01 3 9 -60 4 6095 3683.186 0.22662
23 RS_20190118_013936_raw01 / 092 Dark 18-Jan-2019 03:37:07 3 9 -60 4 5372 3683.2533 0.21494
24 RS_20190118_013936_raw01 / 093 Dark 18-Jan-2019 03:37:44 3 9 -60 4 3721 3681.8199 0.20887
24 RS_20190118_013936_raw01 / 094 Dark 18-Jan-2019 03:37:50 3 9 -60 4 3718 3682.2488 0.2091
24 RS_20190118_013936_raw01 / 093 Lite 18-Jan-2019 03:38:05 3 9 -60 4 44059 4682.8491 107.2169
24 RS_20190118_013936_raw01 / 094 Lite 18-Jan-2019 03:38:11 3 9 -60 4 44008 4683.3062 107.2204
24 RS_20190118_013936_raw01 / 095 Lite 18-Jan-2019 03:38:17 3 9 -60 4 44152 4683.6212 107.2164
24 RS_20190118_013936_raw01 / 096 Lite 18-Jan-2019 03:38:22 3 9 -60 4 44305 4684.0991 107.2309
24 RS_20190118_013936_raw01 / 095 Dark 18-Jan-2019 03:38:38 3 9 -60 4 5104 3683.1385 0.22564
24 RS_20190118_013936_raw01 / 096 Dark 18-Jan-2019 03:38:44 3 9 -60 4 3723 3683.2338 0.20889
25 RS_20190118_013936_raw01 / 097 Dark 18-Jan-2019 03:39:14 3 9 -60 4 3721 3682.0813 0.20895
25 RS_20190118_013936_raw01 / 098 Dark 18-Jan-2019 03:39:20 3 9 -60 4 3722 3682.3931 0.20917
25 RS_20190118_013936_raw01 / 097 Lite 18-Jan-2019 03:39:36 3 9 -60 4 44270 4683.2319 107.2317
25 RS_20190118_013936_raw01 / 098 Lite 18-Jan-2019 03:39:41 3 9 -60 4 44272 4683.558 107.2255
25 RS_20190118_013936_raw01 / 099 Lite 18-Jan-2019 03:39:47 3 9 -60 4 44198 4683.9675 107.2286
25 RS_20190118_013936_raw01 / 100 Lite 18-Jan-2019 03:39:53 3 9 -60 4 44145 4684.484 107.2314
25 RS_20190118_013936_raw01 / 099 Dark 18-Jan-2019 03:40:09 3 9 -60 4 4864 3683.1837 0.21303
25 RS_20190118_013936_raw01 / 100 Dark 18-Jan-2019 03:40:14 3 9 -60 4 3719 3683.3868 0.20903
26 RS_20190118_013936_raw01 / 101 Dark 18-Jan-2019 03:43:47 3 9 -60 4 3715 3680.583 0.20912
26 RS_20190118_013936_raw01 / 102 Dark 18-Jan-2019 03:43:52 3 9 -60 4 3720 3681.3159 0.2092
26 RS_20190118_013936_raw01 / 101 Lite 18-Jan-2019 03:44:08 3 9 -60 4 44022 4681.2985 107.1425
26 RS_20190118_013936_raw01 / 102 Lite 18-Jan-2019 03:44:14 3 9 -60 4 43923 4681.9586 107.1573
26 RS_20190118_013936_raw01 / 103 Lite 18-Jan-2019 03:44:19 3 9 -60 4 43980 4682.6174 107.1603
26 RS_20190118_013936_raw01 / 104 Lite 18-Jan-2019 03:44:25 3 9 -60 4 44122 4683.0269 107.1685
26 RS_20190118_013936_raw01 / 103 Dark 18-Jan-2019 03:44:41 3 9 -60 4 3720 3682.6712 0.20903
26 RS_20190118_013936_raw01 / 104 Dark 18-Jan-2019 03:44:47 3 9 -60 4 3720 3682.9499 0.20885
27 RS_20190118_013936_raw01 / 105 Dark 18-Jan-2019 03:45:23 3 9 -60 4 3725 3681.6631 0.20925
27 RS_20190118_013936_raw01 / 106 Dark 18-Jan-2019 03:45:29 3 9 -60 4 3718 3682.115 0.20882
27 RS_20190118_013936_raw01 / 105 Lite 18-Jan-2019 03:45:44 3 9 -60 4 43962 4681.6766 107.1201
27 RS_20190118_013936_raw01 / 106 Lite 18-Jan-2019 03:45:50 3 9 -60 4 44068 4682.6015 107.1686
27 RS_20190118_013936_raw01 / 107 Lite 18-Jan-2019 03:45:56 3 9 -60 4 44140 4682.7825 107.1562
27 RS_20190118_013936_raw01 / 108 Lite 18-Jan-2019 03:46:01 3 9 -60 4 44092 4682.9931 107.1327
27 RS_20190118_013936_raw01 / 107 Dark 18-Jan-2019 03:46:17 3 9 -60 4 3721 3683.0863 0.2095
27 RS_20190118_013936_raw01 / 108 Dark 18-Jan-2019 03:46:23 3 9 -60 4 3720 3683.0765 0.20927
28 RS_20190118_013936_raw01 / 109 Dark 18-Jan-2019 03:47:12 3 9 -60 4 3730 3681.3085 0.20915
28 RS_20190118_013936_raw01 / 110 Dark 18-Jan-2019 03:47:17 3 9 -60 4 3718 3681.7544 0.20916
28 RS_20190118_013936_raw01 / 109 Lite 18-Jan-2019 03:47:33 3 9 -60 4 44069 4681.4456 107.1356
28 RS_20190118_013936_raw01 / 110 Lite 18-Jan-2019 03:47:39 3 9 -60 4 43860 4681.7618 107.1215
28 RS_20190118_013936_raw01 / 111 Lite 18-Jan-2019 03:47:44 3 9 -60 4 44070 4682.0598 107.1344
28 RS_20190118_013936_raw01 / 112 Lite 18-Jan-2019 03:47:50 3 9 -60 4 44075 4682.5749 107.1312
28 RS_20190118_013936_raw01 / 111 Dark 18-Jan-2019 03:48:06 3 9 -60 4 3718 3682.8571 0.20866
28 RS_20190118_013936_raw01 / 112 Dark 18-Jan-2019 03:48:12 3 9 -60 4 3720 3682.8605 0.20915
29 RS_20190118_013936_raw01 / 113 Dark 18-Jan-2019 03:49:10 3 9 -60 4 3717 3680.9318 0.2091
29 RS_20190118_013936_raw01 / 114 Dark 18-Jan-2019 03:49:15 3 9 -60 4 4959 3681.4593 0.2201
29 RS_20190118_013936_raw01 / 113 Lite 18-Jan-2019 03:49:31 3 9 -60 4 43973 4681.4267 107.1618
29 RS_20190118_013936_raw01 / 114 Lite 18-Jan-2019 03:49:37 3 9 -60 4 44131 4681.9169 107.168
29 RS_20190118_013936_raw01 / 115 Lite 18-Jan-2019 03:49:42 3 9 -60 4 43881 4682.2871 107.1602
29 RS_20190118_013936_raw01 / 116 Lite 18-Jan-2019 03:49:48 3 9 -60 4 43855 4682.4987 107.1404
29 RS_20190118_013936_raw01 / 115 Dark 18-Jan-2019 03:50:04 3 9 -60 4 3719 3682.7071 0.20903
29 RS_20190118_013936_raw01 / 116 Dark 18-Jan-2019 03:50:09 3 9 -60 4 3720 3682.7683 0.20911
Grouped Image file: RS_20190118_N001_grouped.html
Grouped Image file: RS_20190118_N002_grouped.html
Grouped Image file: RS_20190118_N003_grouped.html
Grouped Image file: RS_20190118_N005_grouped.html
Grouped Image file: RS_20190118_N006_grouped.html
Grouped Image file: RS_20190118_N007_grouped.html
Grouped Image file: RS_20190118_N009_grouped.html
Grouped Image file: RS_20190118_N020_grouped.html
Grouped Image file: RS_20190118_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 12:52:01
Created from mkhtml2_(1)