RS_20190119_032025_raw01 - Day 8

REVISION DATE: 28-Jan-2019 12:52:34

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_20190119_032025_raw01 / 001 Dark 19-Jan-2019 03:20:25 3 9 -60 4 3718 3678.866 0.20934
1 RS_20190119_032025_raw01 / 002 Dark 19-Jan-2019 03:20:31 3 9 -60 4 3717 3679.0419 0.2092
1 RS_20190119_032025_raw01 / 001 Lite 19-Jan-2019 03:20:47 3 9 -60 4 50312 4833.7216 119.8669
1 RS_20190119_032025_raw01 / 002 Lite 19-Jan-2019 03:20:52 3 9 -60 4 50375 4834.1701 119.8957
1 RS_20190119_032025_raw01 / 003 Lite 19-Jan-2019 03:20:58 3 9 -60 4 50457 4834.3624 119.9021
1 RS_20190119_032025_raw01 / 004 Lite 19-Jan-2019 03:21:04 3 9 -60 4 50336 4834.5877 119.9025
1 RS_20190119_032025_raw01 / 003 Dark 19-Jan-2019 03:21:19 3 9 -60 4 3717 3680.3753 0.20893
1 RS_20190119_032025_raw01 / 004 Dark 19-Jan-2019 03:21:25 3 9 -60 4 3725 3679.9227 0.20869
2 RS_20190119_032025_raw01 / 005 Dark 19-Jan-2019 03:23:05 3 9 -60 4 3714 3678.8352 0.20876
2 RS_20190119_032025_raw01 / 006 Dark 19-Jan-2019 03:23:10 3 9 -60 4 3718 3679.0231 0.20898
2 RS_20190119_032025_raw01 / 005 Lite 19-Jan-2019 03:23:26 3 9 -60 4 50587 4834.2106 119.9033
2 RS_20190119_032025_raw01 / 006 Lite 19-Jan-2019 03:23:32 3 9 -60 4 50536 4834.4422 119.9155
2 RS_20190119_032025_raw01 / 007 Lite 19-Jan-2019 03:23:37 3 9 -60 4 50242 4834.9186 119.9284
2 RS_20190119_032025_raw01 / 008 Lite 19-Jan-2019 03:23:43 3 9 -60 4 50331 4834.7984 119.917
2 RS_20190119_032025_raw01 / 007 Dark 19-Jan-2019 03:23:59 3 9 -60 4 3716 3680.2535 0.20897
2 RS_20190119_032025_raw01 / 008 Dark 19-Jan-2019 03:24:04 3 9 -60 4 3717 3680.0664 0.20896
3 RS_20190119_032025_raw01 / 009 Dark 19-Jan-2019 03:25:43 3 9 -60 4 3731 3678.8043 0.20937
3 RS_20190119_032025_raw01 / 010 Dark 19-Jan-2019 03:25:48 3 9 -60 4 3719 3679.0954 0.20916
3 RS_20190119_032025_raw01 / 009 Lite 19-Jan-2019 03:26:04 3 9 -60 4 50391 4834.8413 119.9377
3 RS_20190119_032025_raw01 / 010 Lite 19-Jan-2019 03:26:10 3 9 -60 4 50427 4834.2937 119.8966
3 RS_20190119_032025_raw01 / 011 Lite 19-Jan-2019 03:26:15 3 9 -60 4 50674 4835.1977 119.9383
3 RS_20190119_032025_raw01 / 012 Lite 19-Jan-2019 03:26:21 3 9 -60 4 50380 4835.2665 119.9311
3 RS_20190119_032025_raw01 / 011 Dark 19-Jan-2019 03:26:37 3 9 -60 4 3722 3680.4579 0.2091
3 RS_20190119_032025_raw01 / 012 Dark 19-Jan-2019 03:26:43 3 9 -60 4 3716 3680.2027 0.20898
4 RS_20190119_032025_raw01 / 013 Dark 19-Jan-2019 03:28:56 3 9 -60 4 3717 3678.8842 0.20891
4 RS_20190119_032025_raw01 / 014 Dark 19-Jan-2019 03:29:02 3 9 -60 4 3717 3679.2518 0.20925
4 RS_20190119_032025_raw01 / 013 Lite 19-Jan-2019 03:29:17 3 9 -60 4 50274 4834.1742 119.8783
4 RS_20190119_032025_raw01 / 014 Lite 19-Jan-2019 03:29:23 3 9 -60 4 50368 4834.8744 119.9147
4 RS_20190119_032025_raw01 / 015 Lite 19-Jan-2019 03:29:29 3 9 -60 4 50344 4835.0587 119.9162
4 RS_20190119_032025_raw01 / 016 Lite 19-Jan-2019 03:29:34 3 9 -60 4 50146 4835.4168 119.9185
4 RS_20190119_032025_raw01 / 015 Dark 19-Jan-2019 03:29:50 3 9 -60 4 3718 3680.5567 0.20929
4 RS_20190119_032025_raw01 / 016 Dark 19-Jan-2019 03:29:56 3 9 -60 4 3720 3680.4175 0.20926
5 RS_20190119_032025_raw01 / 017 Dark 19-Jan-2019 03:38:56 3 9 -60 4 5859 3679.119 0.21693
5 RS_20190119_032025_raw01 / 018 Dark 19-Jan-2019 03:39:01 3 9 -60 4 3718 3679.4285 0.20898
5 RS_20190119_032025_raw01 / 017 Lite 19-Jan-2019 03:39:17 3 9 -60 4 50420 4834.8189 119.8894
5 RS_20190119_032025_raw01 / 018 Lite 19-Jan-2019 03:39:23 3 9 -60 4 50185 4835.25 119.9149
5 RS_20190119_032025_raw01 / 019 Lite 19-Jan-2019 03:39:28 3 9 -60 4 50317 4835.3309 119.9092
5 RS_20190119_032025_raw01 / 020 Lite 19-Jan-2019 03:39:34 3 9 -60 4 50373 4835.9204 119.9224
5 RS_20190119_032025_raw01 / 019 Dark 19-Jan-2019 03:39:50 3 9 -60 4 3718 3680.8898 0.20904
5 RS_20190119_032025_raw01 / 020 Dark 19-Jan-2019 03:39:55 3 9 -60 4 3719 3680.7907 0.20923
6 RS_20190119_032025_raw01 / 021 Dark 19-Jan-2019 03:41:42 3 9 -60 4 3719 3679.2581 0.20921
6 RS_20190119_032025_raw01 / 022 Dark 19-Jan-2019 03:41:48 3 9 -60 4 3717 3679.6268 0.20935
6 RS_20190119_032025_raw01 / 021 Lite 19-Jan-2019 03:42:03 3 9 -60 4 50347 4835.0074 119.9049
6 RS_20190119_032025_raw01 / 022 Lite 19-Jan-2019 03:42:09 3 9 -60 4 50387 4835.5449 119.9396
6 RS_20190119_032025_raw01 / 023 Lite 19-Jan-2019 03:42:15 3 9 -60 4 50525 4835.4386 119.9135
6 RS_20190119_032025_raw01 / 024 Lite 19-Jan-2019 03:42:20 3 9 -60 4 50370 4835.6954 119.9067
6 RS_20190119_032025_raw01 / 023 Dark 19-Jan-2019 03:42:36 3 9 -60 4 3722 3680.9614 0.20915
6 RS_20190119_032025_raw01 / 024 Dark 19-Jan-2019 03:42:42 3 9 -60 4 3726 3680.7915 0.20887
7 RS_20190119_032025_raw01 / 025 Dark 19-Jan-2019 03:45:00 3 9 -60 4 3719 3679.3289 0.20913
7 RS_20190119_032025_raw01 / 026 Dark 19-Jan-2019 03:45:05 3 9 -60 4 3714 3679.6299 0.20929
7 RS_20190119_032025_raw01 / 025 Lite 19-Jan-2019 03:45:21 3 9 -60 4 50659 4835.0131 119.8886
7 RS_20190119_032025_raw01 / 026 Lite 19-Jan-2019 03:45:27 3 9 -60 4 50347 4835.6403 119.9121
7 RS_20190119_032025_raw01 / 027 Lite 19-Jan-2019 03:45:32 3 9 -60 4 50295 4835.8294 119.9142
7 RS_20190119_032025_raw01 / 028 Lite 19-Jan-2019 03:45:38 3 9 -60 4 50430 4836.2036 119.9045
7 RS_20190119_032025_raw01 / 027 Dark 19-Jan-2019 03:45:54 3 9 -60 4 3724 3681.1565 0.20891
7 RS_20190119_032025_raw01 / 028 Dark 19-Jan-2019 03:45:59 3 9 -60 4 3725 3681.0002 0.20926
8 RS_20190119_032025_raw01 / 029 Dark 19-Jan-2019 03:47:57 3 9 -60 4 3716 3679.2933 0.2093
8 RS_20190119_032025_raw01 / 030 Dark 19-Jan-2019 03:48:03 3 9 -60 4 3717 3679.7095 0.20912
8 RS_20190119_032025_raw01 / 029 Lite 19-Jan-2019 03:48:19 3 9 -60 4 50258 4835.784 119.934
8 RS_20190119_032025_raw01 / 030 Lite 19-Jan-2019 03:48:24 3 9 -60 4 50452 4835.479 119.9043
8 RS_20190119_032025_raw01 / 031 Lite 19-Jan-2019 03:48:30 3 9 -60 4 50293 4835.9287 119.9074
8 RS_20190119_032025_raw01 / 032 Lite 19-Jan-2019 03:48:35 3 9 -60 4 50318 4836.4923 119.92
8 RS_20190119_032025_raw01 / 031 Dark 19-Jan-2019 03:48:51 3 9 -60 4 11007 3681.2448 0.28584
8 RS_20190119_032025_raw01 / 032 Dark 19-Jan-2019 03:48:57 3 9 -60 4 3720 3681.1523 0.20901
9 RS_20190119_032025_raw01 / 033 Dark 19-Jan-2019 03:54:01 3 9 -60 4 3717 3679.536 0.20904
9 RS_20190119_032025_raw01 / 034 Dark 19-Jan-2019 03:54:07 3 9 -60 4 3720 3679.8795 0.20911
9 RS_20190119_032025_raw01 / 033 Lite 19-Jan-2019 03:54:23 3 9 -60 4 50282 4835.7613 119.9235
9 RS_20190119_032025_raw01 / 034 Lite 19-Jan-2019 03:54:29 3 9 -60 4 50280 4836.152 119.9433
9 RS_20190119_032025_raw01 / 035 Lite 19-Jan-2019 03:54:34 3 9 -60 4 50441 4836.512 119.9422
9 RS_20190119_032025_raw01 / 036 Lite 19-Jan-2019 03:54:40 3 9 -60 4 50621 4836.9777 119.9422
9 RS_20190119_032025_raw01 / 035 Dark 19-Jan-2019 03:54:56 3 9 -60 4 3718 3681.3271 0.20912
9 RS_20190119_032025_raw01 / 036 Dark 19-Jan-2019 03:55:01 3 9 -60 4 3716 3681.1819 0.2091
10 RS_20190119_032025_raw01 / 037 Dark 19-Jan-2019 03:57:05 3 9 -60 4 3721 3679.5817 0.2093
10 RS_20190119_032025_raw01 / 038 Dark 19-Jan-2019 03:57:11 3 9 -60 4 3724 3679.8925 0.20898
10 RS_20190119_032025_raw01 / 037 Lite 19-Jan-2019 03:57:26 3 9 -60 4 50362 4835.9584 119.9379
10 RS_20190119_032025_raw01 / 038 Lite 19-Jan-2019 03:57:32 3 9 -60 4 50747 4836.3263 119.9547
10 RS_20190119_032025_raw01 / 039 Lite 19-Jan-2019 03:57:38 3 9 -60 4 50340 4836.8795 119.968
10 RS_20190119_032025_raw01 / 040 Lite 19-Jan-2019 03:57:43 3 9 -60 4 50319 4836.8023 119.9397
10 RS_20190119_032025_raw01 / 039 Dark 19-Jan-2019 03:57:59 3 9 -60 4 3719 3681.1619 0.20906
10 RS_20190119_032025_raw01 / 040 Dark 19-Jan-2019 03:58:05 3 9 -60 4 3721 3681.0765 0.20911
11 RS_20190119_032025_raw01 / 041 Dark 19-Jan-2019 03:59:46 3 9 -60 4 3717 3679.6061 0.20895
11 RS_20190119_032025_raw01 / 042 Dark 19-Jan-2019 03:59:51 3 9 -60 4 3717 3680.0805 0.20902
11 RS_20190119_032025_raw01 / 041 Lite 19-Jan-2019 04:00:07 3 9 -60 4 50300 4836.251 119.9418
11 RS_20190119_032025_raw01 / 042 Lite 19-Jan-2019 04:00:13 3 9 -60 4 50600 4836.2938 119.9365
11 RS_20190119_032025_raw01 / 043 Lite 19-Jan-2019 04:00:18 3 9 -60 4 50396 4836.8453 119.9414
11 RS_20190119_032025_raw01 / 044 Lite 19-Jan-2019 04:00:24 3 9 -60 4 50432 4837.0144 119.949
11 RS_20190119_032025_raw01 / 043 Dark 19-Jan-2019 04:00:40 3 9 -60 4 3717 3681.4839 0.20899
11 RS_20190119_032025_raw01 / 044 Dark 19-Jan-2019 04:00:45 3 9 -60 4 3723 3681.2335 0.20944
12 RS_20190119_032025_raw01 / 045 Dark 19-Jan-2019 04:03:08 3 9 -60 4 3716 3679.5919 0.2092
12 RS_20190119_032025_raw01 / 046 Dark 19-Jan-2019 04:03:14 3 9 -60 4 3718 3679.9171 0.20887
12 RS_20190119_032025_raw01 / 045 Lite 19-Jan-2019 04:03:29 3 9 -60 4 50259 4836.1447 119.9357
12 RS_20190119_032025_raw01 / 046 Lite 19-Jan-2019 04:03:35 3 9 -60 4 50428 4836.5616 119.9528
12 RS_20190119_032025_raw01 / 047 Lite 19-Jan-2019 04:03:41 3 9 -60 4 50637 4836.8299 119.9543
12 RS_20190119_032025_raw01 / 048 Lite 19-Jan-2019 04:03:46 3 9 -60 4 50348 4837.2796 119.9526
12 RS_20190119_032025_raw01 / 047 Dark 19-Jan-2019 04:04:02 3 9 -60 4 3721 3681.5012 0.20862
12 RS_20190119_032025_raw01 / 048 Dark 19-Jan-2019 04:04:08 3 9 -60 4 3719 3681.3207 0.20895
13 RS_20190119_032025_raw01 / 049 Dark 19-Jan-2019 04:23:10 3 9 -60 4 3725 3679.8002 0.20916
13 RS_20190119_032025_raw01 / 050 Dark 19-Jan-2019 04:23:16 3 9 -60 4 3717 3680.2461 0.20865
13 RS_20190119_032025_raw01 / 049 Lite 19-Jan-2019 04:23:32 3 9 -60 4 48057 4772.9849 114.8989
13 RS_20190119_032025_raw01 / 050 Lite 19-Jan-2019 04:23:37 3 9 -60 4 48114 4772.9865 114.8952
13 RS_20190119_032025_raw01 / 051 Lite 19-Jan-2019 04:23:43 3 9 -60 4 48053 4774.0372 114.9401
13 RS_20190119_032025_raw01 / 052 Lite 19-Jan-2019 04:23:48 3 9 -60 4 47953 4773.7419 114.8838
13 RS_20190119_032025_raw01 / 051 Dark 19-Jan-2019 04:24:04 3 9 -60 4 3719 3681.6803 0.20908
13 RS_20190119_032025_raw01 / 052 Dark 19-Jan-2019 04:24:10 3 9 -60 4 3719 3681.5 0.2089
14 RS_20190119_032025_raw01 / 053 Dark 19-Jan-2019 04:25:52 3 9 -60 4 3716 3679.8887 0.2091
14 RS_20190119_032025_raw01 / 054 Dark 19-Jan-2019 04:25:57 3 9 -60 4 3717 3680.3978 0.2091
14 RS_20190119_032025_raw01 / 053 Lite 19-Jan-2019 04:26:13 3 9 -60 4 48147 4773.1028 114.9184
14 RS_20190119_032025_raw01 / 054 Lite 19-Jan-2019 04:26:19 3 9 -60 4 48137 4773.425 114.9276
14 RS_20190119_032025_raw01 / 055 Lite 19-Jan-2019 04:26:24 3 9 -60 4 47945 4773.6762 114.9258
14 RS_20190119_032025_raw01 / 056 Lite 19-Jan-2019 04:26:30 3 9 -60 4 48204 4774.008 114.9087
14 RS_20190119_032025_raw01 / 055 Dark 19-Jan-2019 04:26:46 3 9 -60 4 3718 3681.6655 0.209
14 RS_20190119_032025_raw01 / 056 Dark 19-Jan-2019 04:26:51 3 9 -60 4 3722 3681.6358 0.20895
15 RS_20190119_032025_raw01 / 057 Dark 19-Jan-2019 04:28:52 3 9 -60 4 3716 3679.7247 0.20913
15 RS_20190119_032025_raw01 / 058 Dark 19-Jan-2019 04:28:58 3 9 -60 4 3716 3680.2535 0.209
15 RS_20190119_032025_raw01 / 057 Lite 19-Jan-2019 04:29:14 3 9 -60 4 48229 4773.2222 114.9143
15 RS_20190119_032025_raw01 / 058 Lite 19-Jan-2019 04:29:19 3 9 -60 4 47892 4773.7123 114.9242
15 RS_20190119_032025_raw01 / 059 Lite 19-Jan-2019 04:29:25 3 9 -60 4 48086 4774.342 114.9464
15 RS_20190119_032025_raw01 / 060 Lite 19-Jan-2019 04:29:31 3 9 -60 4 47978 4774.5728 114.9381
15 RS_20190119_032025_raw01 / 059 Dark 19-Jan-2019 04:29:46 3 9 -60 4 3720 3681.9563 0.20917
15 RS_20190119_032025_raw01 / 060 Dark 19-Jan-2019 04:29:52 3 9 -60 4 3727 3681.6838 0.20898
16 RS_20190119_032025_raw01 / 061 Dark 19-Jan-2019 04:31:52 3 9 -60 4 3716 3679.7944 0.20938
16 RS_20190119_032025_raw01 / 062 Dark 19-Jan-2019 04:31:58 3 9 -60 4 6161 3680.3232 0.22202
16 RS_20190119_032025_raw01 / 061 Lite 19-Jan-2019 04:32:14 3 9 -60 4 48017 4773.171 114.9078
16 RS_20190119_032025_raw01 / 062 Lite 19-Jan-2019 04:32:19 3 9 -60 4 48052 4773.6603 114.9308
16 RS_20190119_032025_raw01 / 063 Lite 19-Jan-2019 04:32:25 3 9 -60 4 48184 4774.0941 114.9287
16 RS_20190119_032025_raw01 / 064 Lite 19-Jan-2019 04:32:30 3 9 -60 4 47988 4774.4711 114.9387
16 RS_20190119_032025_raw01 / 063 Dark 19-Jan-2019 04:32:46 3 9 -60 4 3718 3681.7028 0.20872
16 RS_20190119_032025_raw01 / 064 Dark 19-Jan-2019 04:32:52 3 9 -60 4 3720 3681.818 0.2092
17 RS_20190119_032025_raw01 / 065 Dark 19-Jan-2019 04:41:20 3 9 -60 4 3719 3679.8041 0.20933
17 RS_20190119_032025_raw01 / 066 Dark 19-Jan-2019 04:41:25 3 9 -60 4 4756 3680.3853 0.21192
17 RS_20190119_032025_raw01 / 065 Lite 19-Jan-2019 04:41:41 3 9 -60 4 48193 4774.2297 114.9838
17 RS_20190119_032025_raw01 / 066 Lite 19-Jan-2019 04:41:47 3 9 -60 4 48112 4774.2683 114.9581
17 RS_20190119_032025_raw01 / 067 Lite 19-Jan-2019 04:41:53 3 9 -60 4 48025 4774.9881 114.9876
17 RS_20190119_032025_raw01 / 068 Lite 19-Jan-2019 04:41:58 3 9 -60 4 48048 4775.4489 114.9966
17 RS_20190119_032025_raw01 / 067 Dark 19-Jan-2019 04:42:14 3 9 -60 4 3718 3681.9658 0.20887
17 RS_20190119_032025_raw01 / 068 Dark 19-Jan-2019 04:42:20 3 9 -60 4 3720 3681.9682 0.20903
18 RS_20190119_032025_raw01 / 069 Dark 19-Jan-2019 04:44:10 3 9 -60 4 3717 3679.9785 0.20895
18 RS_20190119_032025_raw01 / 070 Dark 19-Jan-2019 04:44:15 3 9 -60 4 3716 3680.5341 0.20905
18 RS_20190119_032025_raw01 / 069 Lite 19-Jan-2019 04:44:31 3 9 -60 4 48236 4774.2514 114.9797
18 RS_20190119_032025_raw01 / 070 Lite 19-Jan-2019 04:44:37 3 9 -60 4 47936 4774.5527 114.9834
18 RS_20190119_032025_raw01 / 071 Lite 19-Jan-2019 04:44:43 3 9 -60 4 47971 4775.1786 114.9989
18 RS_20190119_032025_raw01 / 072 Lite 19-Jan-2019 04:44:48 3 9 -60 4 48185 4775.8203 115.0259
18 RS_20190119_032025_raw01 / 071 Dark 19-Jan-2019 04:45:04 3 9 -60 4 3720 3681.9453 0.20885
18 RS_20190119_032025_raw01 / 072 Dark 19-Jan-2019 04:45:10 3 9 -60 4 3717 3681.8786 0.20903
19 RS_20190119_032025_raw01 / 073 Dark 19-Jan-2019 04:46:50 3 9 -60 4 3717 3679.9292 0.20917
19 RS_20190119_032025_raw01 / 074 Dark 19-Jan-2019 04:46:56 3 9 -60 4 3717 3680.5516 0.20914
19 RS_20190119_032025_raw01 / 073 Lite 19-Jan-2019 04:47:12 3 9 -60 4 48136 4774.0036 114.968
19 RS_20190119_032025_raw01 / 074 Lite 19-Jan-2019 04:47:17 3 9 -60 4 48016 4774.9649 115.0086
19 RS_20190119_032025_raw01 / 075 Lite 19-Jan-2019 04:47:23 3 9 -60 4 48075 4775.2571 115.0072
19 RS_20190119_032025_raw01 / 076 Lite 19-Jan-2019 04:47:28 3 9 -60 4 47907 4775.5864 115.0051
19 RS_20190119_032025_raw01 / 075 Dark 19-Jan-2019 04:47:44 3 9 -60 4 3725 3681.8346 0.20913
19 RS_20190119_032025_raw01 / 076 Dark 19-Jan-2019 04:47:50 3 9 -60 4 3727 3682.008 0.20895
20 RS_20190119_032025_raw01 / 077 Dark 19-Jan-2019 04:49:37 3 9 -60 4 3716 3679.9819 0.20894
20 RS_20190119_032025_raw01 / 078 Dark 19-Jan-2019 04:49:43 3 9 -60 4 3719 3680.4933 0.20909
20 RS_20190119_032025_raw01 / 077 Lite 19-Jan-2019 04:49:58 3 9 -60 4 48090 4774.3168 114.9716
20 RS_20190119_032025_raw01 / 078 Lite 19-Jan-2019 04:50:04 3 9 -60 4 48003 4774.4825 114.9678
20 RS_20190119_032025_raw01 / 079 Lite 19-Jan-2019 04:50:10 3 9 -60 4 48133 4775.0536 114.9728
20 RS_20190119_032025_raw01 / 080 Lite 19-Jan-2019 04:50:15 3 9 -60 4 48190 4775.2205 114.9611
20 RS_20190119_032025_raw01 / 079 Dark 19-Jan-2019 04:50:31 3 9 -60 4 3719 3681.8936 0.20897
20 RS_20190119_032025_raw01 / 080 Dark 19-Jan-2019 04:50:37 3 9 -60 4 3724 3681.879 0.2091
21 RS_20190119_032025_raw01 / 081 Dark 19-Jan-2019 04:57:13 3 9 -60 4 3717 3680.018 0.20897
21 RS_20190119_032025_raw01 / 082 Dark 19-Jan-2019 04:57:19 3 9 -60 4 3716 3680.6476 0.20874
21 RS_20190119_032025_raw01 / 081 Lite 19-Jan-2019 04:57:35 3 9 -60 4 48118 4774.6247 114.9974
21 RS_20190119_032025_raw01 / 082 Lite 19-Jan-2019 04:57:40 3 9 -60 4 48142 4774.5387 114.9638
21 RS_20190119_032025_raw01 / 083 Lite 19-Jan-2019 04:57:46 3 9 -60 4 48097 4775.192 114.9902
21 RS_20190119_032025_raw01 / 084 Lite 19-Jan-2019 04:57:52 3 9 -60 4 48030 4775.4651 114.9722
21 RS_20190119_032025_raw01 / 083 Dark 19-Jan-2019 04:58:07 3 9 -60 4 3726 3681.9845 0.20913
21 RS_20190119_032025_raw01 / 084 Dark 19-Jan-2019 04:58:13 3 9 -60 4 3722 3682.0274 0.2092
22 RS_20190119_032025_raw01 / 085 Dark 19-Jan-2019 05:00:02 3 9 -60 4 3718 3680.1529 0.21004
22 RS_20190119_032025_raw01 / 086 Dark 19-Jan-2019 05:00:08 3 9 -60 4 3717 3680.6382 0.20912
22 RS_20190119_032025_raw01 / 085 Lite 19-Jan-2019 05:00:24 3 9 -60 4 48239 4773.9998 114.9502
22 RS_20190119_032025_raw01 / 086 Lite 19-Jan-2019 05:00:30 3 9 -60 4 48005 4775.3542 115.0324
22 RS_20190119_032025_raw01 / 087 Lite 19-Jan-2019 05:00:35 3 9 -60 4 48092 4775.3475 114.99
22 RS_20190119_032025_raw01 / 088 Lite 19-Jan-2019 05:00:41 3 9 -60 4 48176 4775.5881 114.978
22 RS_20190119_032025_raw01 / 087 Dark 19-Jan-2019 05:00:57 3 9 -60 4 3724 3682.201 0.20894
22 RS_20190119_032025_raw01 / 088 Dark 19-Jan-2019 05:01:02 3 9 -60 4 9118 3682.0083 0.25495
23 RS_20190119_032025_raw01 / 089 Dark 19-Jan-2019 05:02:43 3 9 -60 4 3717 3680.1719 0.20909
23 RS_20190119_032025_raw01 / 090 Dark 19-Jan-2019 05:02:48 3 9 -60 4 3718 3680.7324 0.20889
23 RS_20190119_032025_raw01 / 089 Lite 19-Jan-2019 05:03:04 3 9 -60 4 48005 4774.7202 114.9974
23 RS_20190119_032025_raw01 / 090 Lite 19-Jan-2019 05:03:10 3 9 -60 4 48016 4775.1366 115.0071
23 RS_20190119_032025_raw01 / 091 Lite 19-Jan-2019 05:03:15 3 9 -60 4 48171 4775.8762 115.0291
23 RS_20190119_032025_raw01 / 092 Lite 19-Jan-2019 05:03:21 3 9 -60 4 48215 4775.8762 115.0122
23 RS_20190119_032025_raw01 / 091 Dark 19-Jan-2019 05:03:37 3 9 -60 4 3725 3682.1488 0.20884
23 RS_20190119_032025_raw01 / 092 Dark 19-Jan-2019 05:03:42 3 9 -60 4 4854 3682.0219 0.22192
24 RS_20190119_032025_raw01 / 093 Dark 19-Jan-2019 05:05:26 3 9 -60 4 3716 3680.1456 0.20922
24 RS_20190119_032025_raw01 / 094 Dark 19-Jan-2019 05:05:32 3 9 -60 4 4798 3680.6799 0.21322
24 RS_20190119_032025_raw01 / 093 Lite 19-Jan-2019 05:05:47 3 9 -60 4 48082 4774.3634 114.981
24 RS_20190119_032025_raw01 / 094 Lite 19-Jan-2019 05:05:53 3 9 -60 4 48159 4775.0793 115.0175
24 RS_20190119_032025_raw01 / 095 Lite 19-Jan-2019 05:05:59 3 9 -60 4 48222 4775.4167 115.0021
24 RS_20190119_032025_raw01 / 096 Lite 19-Jan-2019 05:06:04 3 9 -60 4 48134 4775.7311 115.0038
24 RS_20190119_032025_raw01 / 095 Dark 19-Jan-2019 05:06:20 3 9 -60 4 3723 3681.9369 0.20926
24 RS_20190119_032025_raw01 / 096 Dark 19-Jan-2019 05:06:26 3 9 -60 4 3721 3681.9362 0.20872
Grouped Image file: RS_20190119_N001_grouped.html
Grouped Image file: RS_20190119_N002_grouped.html
Grouped Image file: RS_20190119_N003_grouped.html
Grouped Image file: RS_20190119_N005_grouped.html
Grouped Image file: RS_20190119_N006_grouped.html
Grouped Image file: RS_20190119_N007_grouped.html
Grouped Image file: RS_20190119_N009_grouped.html
Grouped Image file: RS_20190119_N020_grouped.html
Grouped Image file: RS_20190119_N022_grouped.html
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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.

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

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.


pwd: E:\zflora\mldata2\mobyrefresh\characterization\Hawaii-2019-01\RS4cal
Date: 28-Jan-2019 12:52:55
Created from mkhtml2_(1)