RS_20190206_021352_raw01 - Day 9

REVISION DATE: 06-Feb-2019 13:38:44

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_20190206_021352_raw01 / 001 Dark 06-Feb-2019 02:13:52 3 9 -60 4 3691 3654.4621 0.20875
1 RS_20190206_021352_raw01 / 002 Dark 06-Feb-2019 02:13:58 3 9 -60 4 3693 3656.3682 0.20904
1 RS_20190206_021352_raw01 / 001 Lite 06-Feb-2019 02:14:13 3 9 -60 4 49673 4791.0581 118.6468
1 RS_20190206_021352_raw01 / 002 Lite 06-Feb-2019 02:14:19 3 9 -60 4 49730 4791.7299 118.6549
1 RS_20190206_021352_raw01 / 003 Lite 06-Feb-2019 02:14:25 3 9 -60 4 49700 4792.4794 118.6896
1 RS_20190206_021352_raw01 / 004 Lite 06-Feb-2019 02:14:30 3 9 -60 4 49932 4792.9618 118.7015
1 RS_20190206_021352_raw01 / 003 Dark 06-Feb-2019 02:14:46 3 9 -60 4 3697 3661.0612 0.20992
1 RS_20190206_021352_raw01 / 004 Dark 06-Feb-2019 02:14:52 3 9 -60 4 3700 3660.4068 0.21003
2 RS_20190206_021352_raw01 / 005 Dark 06-Feb-2019 02:18:52 2 9 -60 4 3700 3660.7279 0.20864
2 RS_20190206_021352_raw01 / 006 Dark 06-Feb-2019 02:18:56 2 9 -60 4 3695 3660.5269 0.20895
2 RS_20190206_021352_raw01 / 005 Lite 06-Feb-2019 02:19:11 2 9 -60 4 34612 4421.3449 86.3096
2 RS_20190206_021352_raw01 / 006 Lite 06-Feb-2019 02:19:16 2 9 -60 4 34721 4421.1849 86.3083
2 RS_20190206_021352_raw01 / 007 Lite 06-Feb-2019 02:19:20 2 9 -60 4 34479 4421.2767 86.3152
2 RS_20190206_021352_raw01 / 008 Lite 06-Feb-2019 02:19:25 2 9 -60 4 34627 4421.4349 86.3123
2 RS_20190206_021352_raw01 / 007 Dark 06-Feb-2019 02:19:40 2 9 -60 4 3699 3661.8685 0.20934
2 RS_20190206_021352_raw01 / 008 Dark 06-Feb-2019 02:19:44 2 9 -60 4 3699 3661.3439 0.20871
3 RS_20190206_021352_raw01 / 009 Dark 06-Feb-2019 02:34:05 2 9 -60 4 3702 3662.4569 0.20909
3 RS_20190206_021352_raw01 / 010 Dark 06-Feb-2019 02:34:10 2 9 -60 4 3698 3662.6932 0.20879
3 RS_20190206_021352_raw01 / 009 Lite 06-Feb-2019 02:34:25 2 9 -60 4 34771 4423.0503 86.2385
3 RS_20190206_021352_raw01 / 010 Lite 06-Feb-2019 02:34:29 2 9 -60 4 34761 4423.3345 86.2606
3 RS_20190206_021352_raw01 / 011 Lite 06-Feb-2019 02:34:34 2 9 -60 4 34871 4423.3938 86.2715
3 RS_20190206_021352_raw01 / 012 Lite 06-Feb-2019 02:34:39 2 9 -60 4 34690 4423.5093 86.2626
3 RS_20190206_021352_raw01 / 011 Dark 06-Feb-2019 02:34:54 2 9 -60 4 3700 3663.8809 0.20889
3 RS_20190206_021352_raw01 / 012 Dark 06-Feb-2019 02:34:58 2 9 -60 4 3703 3663.6771 0.20918
4 RS_20190206_021352_raw01 / 013 Dark 06-Feb-2019 02:36:53 2 9 -60 4 3700 3662.8885 0.20887
4 RS_20190206_021352_raw01 / 014 Dark 06-Feb-2019 02:36:57 2 9 -60 4 3700 3662.985 0.20935
4 RS_20190206_021352_raw01 / 013 Lite 06-Feb-2019 02:37:12 2 9 -60 4 34627 4423.3565 86.2377
4 RS_20190206_021352_raw01 / 014 Lite 06-Feb-2019 02:37:17 2 9 -60 4 34636 4423.8159 86.2796
4 RS_20190206_021352_raw01 / 015 Lite 06-Feb-2019 02:37:21 2 9 -60 4 34665 4423.727 86.2678
4 RS_20190206_021352_raw01 / 016 Lite 06-Feb-2019 02:37:26 2 9 -60 4 34655 4423.9964 86.2659
4 RS_20190206_021352_raw01 / 015 Dark 06-Feb-2019 02:37:41 2 9 -60 4 4858 3664.0949 0.21356
4 RS_20190206_021352_raw01 / 016 Dark 06-Feb-2019 02:37:45 2 9 -60 4 3701 3663.9389 0.2089
5 RS_20190206_021352_raw01 / 017 Dark 06-Feb-2019 02:39:55 2 9 -60 4 3699 3663.1818 0.20907
5 RS_20190206_021352_raw01 / 018 Dark 06-Feb-2019 02:40:00 2 9 -60 4 3703 3663.3912 0.20905
5 RS_20190206_021352_raw01 / 017 Lite 06-Feb-2019 02:40:15 2 9 -60 4 34818 4423.9803 86.2498
5 RS_20190206_021352_raw01 / 018 Lite 06-Feb-2019 02:40:19 2 9 -60 4 34658 4423.9007 86.2448
5 RS_20190206_021352_raw01 / 019 Lite 06-Feb-2019 02:40:24 2 9 -60 4 34616 4424.0921 86.2447
5 RS_20190206_021352_raw01 / 020 Lite 06-Feb-2019 02:40:28 2 9 -60 4 34591 4424.5101 86.2635
5 RS_20190206_021352_raw01 / 019 Dark 06-Feb-2019 02:40:43 2 9 -60 4 3701 3664.5579 0.20924
5 RS_20190206_021352_raw01 / 020 Dark 06-Feb-2019 02:40:48 2 9 -60 4 3702 3664.3727 0.20885
6 RS_20190206_021352_raw01 / 021 Dark 06-Feb-2019 02:42:33 2 9 -60 4 3703 3663.451 0.20885
6 RS_20190206_021352_raw01 / 022 Dark 06-Feb-2019 02:42:38 2 9 -60 4 3704 3663.7096 0.20885
6 RS_20190206_021352_raw01 / 021 Lite 06-Feb-2019 02:42:53 2 9 -60 4 34616 4424.036 86.2327
6 RS_20190206_021352_raw01 / 022 Lite 06-Feb-2019 02:42:57 2 9 -60 4 34788 4423.9833 86.224
6 RS_20190206_021352_raw01 / 023 Lite 06-Feb-2019 02:43:02 2 9 -60 4 34453 4424.2278 86.2323
6 RS_20190206_021352_raw01 / 024 Lite 06-Feb-2019 02:43:07 2 9 -60 4 34695 4424.6671 86.2522
6 RS_20190206_021352_raw01 / 023 Dark 06-Feb-2019 02:43:21 2 9 -60 4 3701 3664.713 0.20885
6 RS_20190206_021352_raw01 / 024 Dark 06-Feb-2019 02:43:26 2 9 -60 4 4631 3664.637 0.2121
7 RS_20190206_021352_raw01 / 025 Dark 06-Feb-2019 03:05:09 2 9 -60 4 3703 3665.1221 0.20949
7 RS_20190206_021352_raw01 / 026 Dark 06-Feb-2019 03:05:14 2 9 -60 4 3703 3665.5411 0.20906
7 RS_20190206_021352_raw01 / 025 Lite 06-Feb-2019 03:05:29 2 9 -60 4 34612 4426.5098 86.2622
7 RS_20190206_021352_raw01 / 026 Lite 06-Feb-2019 03:05:33 2 9 -60 4 34701 4426.9873 86.2721
7 RS_20190206_021352_raw01 / 027 Lite 06-Feb-2019 03:05:38 2 9 -60 4 34638 4427.2688 86.2741
7 RS_20190206_021352_raw01 / 028 Lite 06-Feb-2019 03:05:43 2 9 -60 4 34576 4427.7906 86.2978
7 RS_20190206_021352_raw01 / 027 Dark 06-Feb-2019 03:05:57 2 9 -60 4 3705 3666.6616 0.20898
7 RS_20190206_021352_raw01 / 028 Dark 06-Feb-2019 03:06:02 2 9 -60 4 3711 3666.7137 0.20919
8 RS_20190206_021352_raw01 / 029 Dark 06-Feb-2019 03:07:52 2 9 -60 4 3704 3665.4294 0.20946
8 RS_20190206_021352_raw01 / 030 Dark 06-Feb-2019 03:07:57 2 9 -60 4 3701 3665.764 0.20901
8 RS_20190206_021352_raw01 / 029 Lite 06-Feb-2019 03:08:12 2 9 -60 4 34801 4426.6641 86.262
8 RS_20190206_021352_raw01 / 030 Lite 06-Feb-2019 03:08:16 2 9 -60 4 34612 4427.4763 86.2947
8 RS_20190206_021352_raw01 / 031 Lite 06-Feb-2019 03:08:21 2 9 -60 4 34602 4427.5327 86.2795
8 RS_20190206_021352_raw01 / 032 Lite 06-Feb-2019 03:08:26 2 9 -60 4 34790 4427.5192 86.2617
8 RS_20190206_021352_raw01 / 031 Dark 06-Feb-2019 03:08:41 2 9 -60 4 3703 3666.9835 0.20968
8 RS_20190206_021352_raw01 / 032 Dark 06-Feb-2019 03:08:45 2 9 -60 4 3704 3666.9426 0.20911
9 RS_20190206_021352_raw01 / 033 Dark 06-Feb-2019 03:10:35 2 9 -60 4 3704 3665.4927 0.20904
9 RS_20190206_021352_raw01 / 034 Dark 06-Feb-2019 03:10:39 2 9 -60 4 3702 3665.9638 0.20967
9 RS_20190206_021352_raw01 / 033 Lite 06-Feb-2019 03:10:54 2 9 -60 4 34605 4427.0416 86.2858
9 RS_20190206_021352_raw01 / 034 Lite 06-Feb-2019 03:10:59 2 9 -60 4 34575 4427.6461 86.2966
9 RS_20190206_021352_raw01 / 035 Lite 06-Feb-2019 03:11:03 2 9 -60 4 34714 4427.8018 86.3
9 RS_20190206_021352_raw01 / 036 Lite 06-Feb-2019 03:11:08 2 9 -60 4 34599 4427.914 86.2753
9 RS_20190206_021352_raw01 / 035 Dark 06-Feb-2019 03:11:23 2 9 -60 4 3704 3667.1016 0.20939
9 RS_20190206_021352_raw01 / 036 Dark 06-Feb-2019 03:11:27 2 9 -60 4 3703 3667.2056 0.20908
10 RS_20190206_021352_raw01 / 037 Dark 06-Feb-2019 03:13:18 2 9 -60 4 3703 3665.6023 0.20936
10 RS_20190206_021352_raw01 / 038 Dark 06-Feb-2019 03:13:23 2 9 -60 4 3702 3666.0331 0.20952
10 RS_20190206_021352_raw01 / 037 Lite 06-Feb-2019 03:13:38 2 9 -60 4 34478 4426.8908 86.2497
10 RS_20190206_021352_raw01 / 038 Lite 06-Feb-2019 03:13:42 2 9 -60 4 34573 4427.3166 86.2621
10 RS_20190206_021352_raw01 / 039 Lite 06-Feb-2019 03:13:47 2 9 -60 4 34676 4427.7631 86.2713
10 RS_20190206_021352_raw01 / 040 Lite 06-Feb-2019 03:13:51 2 9 -60 4 34717 4428.4344 86.3014
10 RS_20190206_021352_raw01 / 039 Dark 06-Feb-2019 03:14:06 2 9 -60 4 3707 3667.1242 0.20957
10 RS_20190206_021352_raw01 / 040 Dark 06-Feb-2019 03:14:11 2 9 -60 4 3704 3667.3551 0.2093
11 RS_20190206_021352_raw01 / 041 Dark 06-Feb-2019 03:22:12 2 9 -60 4 3710 3666.1104 0.20851
11 RS_20190206_021352_raw01 / 042 Dark 06-Feb-2019 03:22:16 2 9 -60 4 3703 3666.5095 0.20875
11 RS_20190206_021352_raw01 / 041 Lite 06-Feb-2019 03:22:31 2 9 -60 4 34805 4427.5154 86.2319
11 RS_20190206_021352_raw01 / 042 Lite 06-Feb-2019 03:22:36 2 9 -60 4 34621 4427.9506 86.2422
11 RS_20190206_021352_raw01 / 043 Lite 06-Feb-2019 03:22:41 2 9 -60 4 34667 4428.5512 86.2661
11 RS_20190206_021352_raw01 / 044 Lite 06-Feb-2019 03:22:45 2 9 -60 4 34740 4428.828 86.2637
11 RS_20190206_021352_raw01 / 043 Dark 06-Feb-2019 03:23:00 2 9 -60 4 3707 3667.8342 0.20845
11 RS_20190206_021352_raw01 / 044 Dark 06-Feb-2019 03:23:05 2 9 -60 4 3704 3667.8904 0.20855
12 RS_20190206_021352_raw01 / 045 Dark 06-Feb-2019 03:25:16 2 9 -60 4 3705 3666.2882 0.20861
12 RS_20190206_021352_raw01 / 046 Dark 06-Feb-2019 03:25:20 2 9 -60 4 3703 3666.6298 0.20842
12 RS_20190206_021352_raw01 / 045 Lite 06-Feb-2019 03:25:35 2 9 -60 4 34571 4427.6739 86.2247
12 RS_20190206_021352_raw01 / 046 Lite 06-Feb-2019 03:25:40 2 9 -60 4 34663 4428.2645 86.2413
12 RS_20190206_021352_raw01 / 047 Lite 06-Feb-2019 03:25:44 2 9 -60 4 34787 4428.5268 86.2507
12 RS_20190206_021352_raw01 / 048 Lite 06-Feb-2019 03:25:49 2 9 -60 4 34704 4428.8247 86.25
12 RS_20190206_021352_raw01 / 047 Dark 06-Feb-2019 03:26:04 2 9 -60 4 3705 3667.9174 0.20863
12 RS_20190206_021352_raw01 / 048 Dark 06-Feb-2019 03:26:08 2 9 -60 4 3703 3667.9158 0.20861
13 RS_20190206_021352_raw01 / 049 Dark 06-Feb-2019 03:28:02 2 9 -60 4 3708 3666.2259 0.20899
13 RS_20190206_021352_raw01 / 050 Dark 06-Feb-2019 03:28:07 2 9 -60 4 3705 3666.7667 0.2082
13 RS_20190206_021352_raw01 / 049 Lite 06-Feb-2019 03:28:22 2 9 -60 4 34721 4427.9658 86.2461
13 RS_20190206_021352_raw01 / 050 Lite 06-Feb-2019 03:28:27 2 9 -60 4 34762 4428.2861 86.2483
13 RS_20190206_021352_raw01 / 051 Lite 06-Feb-2019 03:28:31 2 9 -60 4 34672 4428.7662 86.2621
13 RS_20190206_021352_raw01 / 052 Lite 06-Feb-2019 03:28:36 2 9 -60 4 34804 4428.86 86.2401
13 RS_20190206_021352_raw01 / 051 Dark 06-Feb-2019 03:28:51 2 9 -60 4 3708 3667.8907 0.20857
13 RS_20190206_021352_raw01 / 052 Dark 06-Feb-2019 03:28:55 2 9 -60 4 3705 3668.0358 0.20877
14 RS_20190206_021352_raw01 / 053 Dark 06-Feb-2019 03:30:54 2 9 -60 4 3703 3666.335 0.20846
14 RS_20190206_021352_raw01 / 054 Dark 06-Feb-2019 03:30:58 2 9 -60 4 3704 3666.7917 0.2086
14 RS_20190206_021352_raw01 / 053 Lite 06-Feb-2019 03:31:13 2 9 -60 4 34899 4427.7197 86.2297
14 RS_20190206_021352_raw01 / 054 Lite 06-Feb-2019 03:31:18 2 9 -60 4 34600 4428.6119 86.2484
14 RS_20190206_021352_raw01 / 055 Lite 06-Feb-2019 03:31:22 2 9 -60 4 34621 4429.0714 86.2711
14 RS_20190206_021352_raw01 / 056 Lite 06-Feb-2019 03:31:27 2 9 -60 4 34729 4429.1136 86.258
14 RS_20190206_021352_raw01 / 055 Dark 06-Feb-2019 03:31:42 2 9 -60 4 3705 3667.9977 0.20842
14 RS_20190206_021352_raw01 / 056 Dark 06-Feb-2019 03:31:46 2 9 -60 4 3705 3668.0651 0.20843
15 RS_20190206_021352_raw01 / 057 Dark 06-Feb-2019 03:39:28 2 9 -60 4 4480 3666.0693 0.21067
15 RS_20190206_021352_raw01 / 058 Dark 06-Feb-2019 03:39:33 2 9 -60 4 5498 3666.6999 0.2206
15 RS_20190206_021352_raw01 / 057 Lite 06-Feb-2019 03:39:48 2 9 -60 4 34735 4427.7111 86.2384
15 RS_20190206_021352_raw01 / 058 Lite 06-Feb-2019 03:39:52 2 9 -60 4 34802 4428.1955 86.2525
15 RS_20190206_021352_raw01 / 059 Lite 06-Feb-2019 03:39:57 2 9 -60 4 34651 4428.6752 86.2655
15 RS_20190206_021352_raw01 / 060 Lite 06-Feb-2019 03:40:02 2 9 -60 4 34567 4428.4087 86.2096
15 RS_20190206_021352_raw01 / 059 Dark 06-Feb-2019 03:40:17 2 9 -60 4 3705 3667.8362 0.20839
15 RS_20190206_021352_raw01 / 060 Dark 06-Feb-2019 03:40:21 2 9 -60 4 3705 3667.9713 0.20845
16 RS_20190206_021352_raw01 / 061 Dark 06-Feb-2019 03:42:15 2 9 -60 4 3708 3666.2181 0.20875
16 RS_20190206_021352_raw01 / 062 Dark 06-Feb-2019 03:42:19 2 9 -60 4 3703 3666.5409 0.20849
16 RS_20190206_021352_raw01 / 061 Lite 06-Feb-2019 03:42:34 2 9 -60 4 34673 4427.8124 86.2263
16 RS_20190206_021352_raw01 / 062 Lite 06-Feb-2019 03:42:39 2 9 -60 4 34651 4428.1434 86.2244
16 RS_20190206_021352_raw01 / 063 Lite 06-Feb-2019 03:42:43 2 9 -60 4 34683 4428.6331 86.2371
16 RS_20190206_021352_raw01 / 064 Lite 06-Feb-2019 03:42:48 2 9 -60 4 34621 4428.689 86.2175
16 RS_20190206_021352_raw01 / 063 Dark 06-Feb-2019 03:43:03 2 9 -60 4 3706 3667.7759 0.20866
16 RS_20190206_021352_raw01 / 064 Dark 06-Feb-2019 03:43:07 2 9 -60 4 3705 3667.9655 0.2083
17 RS_20190206_021352_raw01 / 065 Dark 06-Feb-2019 03:45:01 2 9 -60 4 3703 3666.0497 0.20868
17 RS_20190206_021352_raw01 / 066 Dark 06-Feb-2019 03:45:05 2 9 -60 4 3703 3666.6149 0.20862
17 RS_20190206_021352_raw01 / 065 Lite 06-Feb-2019 03:45:20 2 9 -60 4 34586 4427.6841 86.2121
17 RS_20190206_021352_raw01 / 066 Lite 06-Feb-2019 03:45:25 2 9 -60 4 34750 4428.1168 86.2179
17 RS_20190206_021352_raw01 / 067 Lite 06-Feb-2019 03:45:30 2 9 -60 4 34802 4428.4112 86.2192
17 RS_20190206_021352_raw01 / 068 Lite 06-Feb-2019 03:45:34 2 9 -60 4 34800 4428.6668 86.2137
17 RS_20190206_021352_raw01 / 067 Dark 06-Feb-2019 03:45:49 2 9 -60 4 3706 3667.8511 0.20846
17 RS_20190206_021352_raw01 / 068 Dark 06-Feb-2019 03:45:54 2 9 -60 4 3708 3667.888 0.20868
18 RS_20190206_021352_raw01 / 069 Dark 06-Feb-2019 03:47:39 2 9 -60 4 3704 3666.1567 0.20865
18 RS_20190206_021352_raw01 / 070 Dark 06-Feb-2019 03:47:43 2 9 -60 4 3704 3666.6538 0.20877
18 RS_20190206_021352_raw01 / 069 Lite 06-Feb-2019 03:47:58 2 9 -60 4 34706 4427.3563 86.186
18 RS_20190206_021352_raw01 / 070 Lite 06-Feb-2019 03:48:03 2 9 -60 4 34825 4428.0054 86.2112
18 RS_20190206_021352_raw01 / 071 Lite 06-Feb-2019 03:48:07 2 9 -60 4 34864 4428.315 86.2194
18 RS_20190206_021352_raw01 / 072 Lite 06-Feb-2019 03:48:12 2 9 -60 4 34826 4428.8452 86.2284
18 RS_20190206_021352_raw01 / 071 Dark 06-Feb-2019 03:48:27 2 9 -60 4 3704 3667.8042 0.20862
18 RS_20190206_021352_raw01 / 072 Dark 06-Feb-2019 03:48:32 2 9 -60 4 3703 3668.0322 0.20831
19 RS_20190206_021352_raw01 / 073 Dark 06-Feb-2019 03:56:16 2 9 -60 4 3706 3666.4305 0.20842
19 RS_20190206_021352_raw01 / 074 Dark 06-Feb-2019 03:56:21 2 9 -60 4 3702 3666.985 0.20878
19 RS_20190206_021352_raw01 / 073 Lite 06-Feb-2019 03:56:36 2 9 -60 4 34562 4427.6592 86.1983
19 RS_20190206_021352_raw01 / 074 Lite 06-Feb-2019 03:56:40 2 9 -60 4 34536 4428.3326 86.2183
19 RS_20190206_021352_raw01 / 075 Lite 06-Feb-2019 03:56:45 2 9 -60 4 34696 4428.4689 86.206
19 RS_20190206_021352_raw01 / 076 Lite 06-Feb-2019 03:56:50 2 9 -60 4 34553 4428.7724 86.1876
19 RS_20190206_021352_raw01 / 075 Dark 06-Feb-2019 03:57:04 2 9 -60 4 3706 3668.1431 0.20852
19 RS_20190206_021352_raw01 / 076 Dark 06-Feb-2019 03:57:09 2 9 -60 4 3709 3668.3298 0.20868
20 RS_20190206_021352_raw01 / 077 Dark 06-Feb-2019 03:58:57 2 9 -60 4 3702 3666.4852 0.20853
20 RS_20190206_021352_raw01 / 078 Dark 06-Feb-2019 03:59:02 2 9 -60 4 3705 3666.9379 0.2087
20 RS_20190206_021352_raw01 / 077 Lite 06-Feb-2019 03:59:17 2 9 -60 4 34593 4427.9578 86.208
20 RS_20190206_021352_raw01 / 078 Lite 06-Feb-2019 03:59:21 2 9 -60 4 34620 4428.0421 86.1944
20 RS_20190206_021352_raw01 / 079 Lite 06-Feb-2019 03:59:26 2 9 -60 4 34614 4428.2192 86.1709
20 RS_20190206_021352_raw01 / 080 Lite 06-Feb-2019 03:59:31 2 9 -60 4 34618 4428.5216 86.1659
20 RS_20190206_021352_raw01 / 079 Dark 06-Feb-2019 03:59:45 2 9 -60 4 3703 3668.2173 0.20802
20 RS_20190206_021352_raw01 / 080 Dark 06-Feb-2019 03:59:50 2 9 -60 4 3703 3668.3157 0.20838
21 RS_20190206_021352_raw01 / 081 Dark 06-Feb-2019 04:01:39 2 9 -60 4 3703 3666.616 0.20845
21 RS_20190206_021352_raw01 / 082 Dark 06-Feb-2019 04:01:44 2 9 -60 4 3702 3667.1097 0.20837
21 RS_20190206_021352_raw01 / 081 Lite 06-Feb-2019 04:01:58 2 9 -60 4 34624 4427.6476 86.18
21 RS_20190206_021352_raw01 / 082 Lite 06-Feb-2019 04:02:03 2 9 -60 4 34586 4428.1667 86.1864
21 RS_20190206_021352_raw01 / 083 Lite 06-Feb-2019 04:02:08 2 9 -60 4 34573 4428.5751 86.1983
21 RS_20190206_021352_raw01 / 084 Lite 06-Feb-2019 04:02:12 2 9 -60 4 34706 4428.8953 86.1962
21 RS_20190206_021352_raw01 / 083 Dark 06-Feb-2019 04:02:27 2 9 -60 4 3709 3668.3908 0.20856
21 RS_20190206_021352_raw01 / 084 Dark 06-Feb-2019 04:02:32 2 9 -60 4 3703 3668.5771 0.20827
22 RS_20190206_021352_raw01 / 085 Dark 06-Feb-2019 04:04:24 2 9 -60 4 3707 3666.5212 0.20842
22 RS_20190206_021352_raw01 / 086 Dark 06-Feb-2019 04:04:29 2 9 -60 4 3704 3666.9487 0.20857
22 RS_20190206_021352_raw01 / 085 Lite 06-Feb-2019 04:04:44 2 9 -60 4 34455 4427.4419 86.1888
22 RS_20190206_021352_raw01 / 086 Lite 06-Feb-2019 04:04:48 2 9 -60 4 34462 4428.0485 86.1867
22 RS_20190206_021352_raw01 / 087 Lite 06-Feb-2019 04:04:53 2 9 -60 4 34599 4428.2739 86.1803
22 RS_20190206_021352_raw01 / 088 Lite 06-Feb-2019 04:04:58 2 9 -60 4 34725 4428.7172 86.1909
22 RS_20190206_021352_raw01 / 087 Dark 06-Feb-2019 04:05:12 2 9 -60 4 3704 3668.1632 0.20834
22 RS_20190206_021352_raw01 / 088 Dark 06-Feb-2019 04:05:17 2 9 -60 4 3705 3668.4125 0.20814
23 RS_20190206_021352_raw01 / 089 Dark 06-Feb-2019 04:13:45 2 9 -60 4 3709 3666.5278 0.20861
23 RS_20190206_021352_raw01 / 090 Dark 06-Feb-2019 04:13:49 2 9 -60 4 3704 3666.8473 0.20813
23 RS_20190206_021352_raw01 / 089 Lite 06-Feb-2019 04:14:04 2 9 -60 4 34629 4427.3853 86.1745
23 RS_20190206_021352_raw01 / 090 Lite 06-Feb-2019 04:14:09 2 9 -60 4 34623 4427.7931 86.1578
23 RS_20190206_021352_raw01 / 091 Lite 06-Feb-2019 04:14:13 2 9 -60 4 34676 4428.7443 86.213
23 RS_20190206_021352_raw01 / 092 Lite 06-Feb-2019 04:14:18 2 9 -60 4 34476 4428.6317 86.1792
23 RS_20190206_021352_raw01 / 091 Dark 06-Feb-2019 04:14:33 2 9 -60 4 3703 3668.2015 0.2088
23 RS_20190206_021352_raw01 / 092 Dark 06-Feb-2019 04:14:37 2 9 -60 4 4627 3668.3271 0.21144
24 RS_20190206_021352_raw01 / 093 Dark 06-Feb-2019 04:16:36 2 9 -60 4 3702 3666.4392 0.20848
24 RS_20190206_021352_raw01 / 094 Dark 06-Feb-2019 04:16:40 2 9 -60 4 3702 3666.9882 0.2088
24 RS_20190206_021352_raw01 / 093 Lite 06-Feb-2019 04:16:55 2 9 -60 4 34567 4427.4764 86.1728
24 RS_20190206_021352_raw01 / 094 Lite 06-Feb-2019 04:17:00 2 9 -60 4 34633 4427.6239 86.1555
24 RS_20190206_021352_raw01 / 095 Lite 06-Feb-2019 04:17:04 2 9 -60 4 34930 4427.9648 86.158
24 RS_20190206_021352_raw01 / 096 Lite 06-Feb-2019 04:17:09 2 9 -60 4 34592 4428.4784 86.1623
24 RS_20190206_021352_raw01 / 095 Dark 06-Feb-2019 04:17:24 2 9 -60 4 3706 3668.076 0.20848
24 RS_20190206_021352_raw01 / 096 Dark 06-Feb-2019 04:17:28 2 9 -60 4 3703 3668.2712 0.20848
25 RS_20190206_021352_raw01 / 097 Dark 06-Feb-2019 04:19:19 2 9 -60 4 3704 3666.4767 0.20917
25 RS_20190206_021352_raw01 / 098 Dark 06-Feb-2019 04:19:24 2 9 -60 4 3703 3666.8789 0.20851
25 RS_20190206_021352_raw01 / 097 Lite 06-Feb-2019 04:19:39 2 9 -60 4 34525 4427.6021 86.1854
25 RS_20190206_021352_raw01 / 098 Lite 06-Feb-2019 04:19:43 2 9 -60 4 34506 4428.25 86.1994
25 RS_20190206_021352_raw01 / 099 Lite 06-Feb-2019 04:19:48 2 9 -60 4 34721 4428.1781 86.1675
25 RS_20190206_021352_raw01 / 100 Lite 06-Feb-2019 04:19:53 2 9 -60 4 34576 4428.543 86.1634
25 RS_20190206_021352_raw01 / 099 Dark 06-Feb-2019 04:20:08 2 9 -60 4 3705 3668.1084 0.20856
25 RS_20190206_021352_raw01 / 100 Dark 06-Feb-2019 04:20:12 2 9 -60 4 3704 3668.2397 0.20854
26 RS_20190206_021352_raw01 / 101 Dark 06-Feb-2019 04:21:57 2 9 -60 4 3702 3666.464 0.20862
26 RS_20190206_021352_raw01 / 102 Dark 06-Feb-2019 04:22:02 2 9 -60 4 3705 3666.8546 0.20852
26 RS_20190206_021352_raw01 / 101 Lite 06-Feb-2019 04:22:17 2 9 -60 4 34784 4427.3932 86.1746
26 RS_20190206_021352_raw01 / 102 Lite 06-Feb-2019 04:22:21 2 9 -60 4 34545 4427.7928 86.1724
26 RS_20190206_021352_raw01 / 103 Lite 06-Feb-2019 04:22:26 2 9 -60 4 34526 4428.0016 86.1552
26 RS_20190206_021352_raw01 / 104 Lite 06-Feb-2019 04:22:31 2 9 -60 4 34618 4428.4158 86.1583
26 RS_20190206_021352_raw01 / 103 Dark 06-Feb-2019 04:22:45 2 9 -60 4 3703 3668.0212 0.20843
26 RS_20190206_021352_raw01 / 104 Dark 06-Feb-2019 04:22:50 2 9 -60 4 3707 3668.1615 0.20885
27 RS_20190206_021352_raw01 / 105 Dark 06-Feb-2019 04:29:46 2 9 -60 4 3701 3666.33 0.20861
27 RS_20190206_021352_raw01 / 106 Dark 06-Feb-2019 04:29:51 2 9 -60 4 3705 3666.9936 0.20856
27 RS_20190206_021352_raw01 / 105 Lite 06-Feb-2019 04:30:05 2 9 -60 4 34557 4426.7067 86.107
27 RS_20190206_021352_raw01 / 106 Lite 06-Feb-2019 04:30:10 2 9 -60 4 34541 4427.2903 86.1164
27 RS_20190206_021352_raw01 / 107 Lite 06-Feb-2019 04:30:15 2 9 -60 4 34621 4427.5404 86.1145
27 RS_20190206_021352_raw01 / 108 Lite 06-Feb-2019 04:30:19 2 9 -60 4 34563 4427.8319 86.1031
27 RS_20190206_021352_raw01 / 107 Dark 06-Feb-2019 04:30:34 2 9 -60 4 3704 3668.1469 0.20863
27 RS_20190206_021352_raw01 / 108 Dark 06-Feb-2019 04:30:39 2 9 -60 4 3704 3668.5765 0.20859
28 RS_20190206_021352_raw01 / 109 Dark 06-Feb-2019 04:32:31 2 9 -60 4 6080 3666.4967 0.22292
28 RS_20190206_021352_raw01 / 110 Dark 06-Feb-2019 04:32:35 2 9 -60 4 3707 3667.171 0.20855
28 RS_20190206_021352_raw01 / 109 Lite 06-Feb-2019 04:32:50 2 9 -60 4 34655 4426.504 86.0782
28 RS_20190206_021352_raw01 / 110 Lite 06-Feb-2019 04:32:55 2 9 -60 4 34708 4427.1691 86.0892
28 RS_20190206_021352_raw01 / 111 Lite 06-Feb-2019 04:32:59 2 9 -60 4 34572 4427.5871 86.1003
28 RS_20190206_021352_raw01 / 112 Lite 06-Feb-2019 04:33:04 2 9 -60 4 34633 4427.9541 86.094
28 RS_20190206_021352_raw01 / 111 Dark 06-Feb-2019 04:33:19 2 9 -60 4 3702 3668.3042 0.20874
28 RS_20190206_021352_raw01 / 112 Dark 06-Feb-2019 04:33:23 2 9 -60 4 3704 3668.3854 0.20887
29 RS_20190206_021352_raw01 / 113 Dark 06-Feb-2019 04:35:08 2 9 -60 4 3701 3666.6701 0.20874
29 RS_20190206_021352_raw01 / 114 Dark 06-Feb-2019 04:35:13 2 9 -60 4 3709 3667.1373 0.20853
29 RS_20190206_021352_raw01 / 113 Lite 06-Feb-2019 04:35:27 2 9 -60 4 34559 4426.567 86.0758
29 RS_20190206_021352_raw01 / 114 Lite 06-Feb-2019 04:35:32 2 9 -60 4 34470 4427.0843 86.0732
29 RS_20190206_021352_raw01 / 115 Lite 06-Feb-2019 04:35:37 2 9 -60 4 34503 4427.4796 86.092
29 RS_20190206_021352_raw01 / 116 Lite 06-Feb-2019 04:35:41 2 9 -60 4 34551 4428.4896 86.134
29 RS_20190206_021352_raw01 / 115 Dark 06-Feb-2019 04:35:56 2 9 -60 4 3705 3668.1722 0.20866
29 RS_20190206_021352_raw01 / 116 Dark 06-Feb-2019 04:36:01 2 9 -60 4 3706 3668.477 0.20886
30 RS_20190206_021352_raw01 / 117 Dark 06-Feb-2019 04:38:13 2 9 -60 4 3703 3666.5014 0.20869
30 RS_20190206_021352_raw01 / 118 Dark 06-Feb-2019 04:38:18 2 9 -60 4 3705 3666.9444 0.20892
30 RS_20190206_021352_raw01 / 117 Lite 06-Feb-2019 04:38:33 2 9 -60 4 34535 4426.8996 86.1214
30 RS_20190206_021352_raw01 / 118 Lite 06-Feb-2019 04:38:37 2 9 -60 4 34584 4427.2076 86.0966
30 RS_20190206_021352_raw01 / 119 Lite 06-Feb-2019 04:38:42 2 9 -60 4 34703 4427.8875 86.1428
30 RS_20190206_021352_raw01 / 120 Lite 06-Feb-2019 04:38:47 2 9 -60 4 34357 4427.7852 86.1083
30 RS_20190206_021352_raw01 / 119 Dark 06-Feb-2019 04:39:01 2 9 -60 4 3705 3668.1126 0.20831
30 RS_20190206_021352_raw01 / 120 Dark 06-Feb-2019 04:39:06 2 9 -60 4 3706 3668.3439 0.2085
Grouped Image file: RS_20190206_N001_grouped.html
Grouped Image file: RS_20190206_N002_grouped.html
Grouped Image file: RS_20190206_N003_grouped.html
Grouped Image file: RS_20190206_N005_grouped.html
Grouped Image file: RS_20190206_N006_grouped.html
Grouped Image file: RS_20190206_N007_grouped.html
Grouped Image file: RS_20190206_N009_grouped.html
Grouped Image file: RS_20190206_N020_grouped.html
Grouped Image file: RS_20190206_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.

image

Figure 31B: 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: 06-Feb-2019 13:38:53
Created from mkhtml2_(1)