RS_20190115_021808_raw01 - Day 4

REVISION DATE: 28-Jan-2019 12:49:00

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_20190115_021808_raw01 / 001 Dark 15-Jan-2019 02:18:08 5 6 -60 4 3709 3664.5868 0.21145
1 RS_20190115_021808_raw01 / 002 Dark 15-Jan-2019 02:18:16 5 6 -60 4 3707 3664.1828 0.21147
1 RS_20190115_021808_raw01 / 001 Lite 15-Jan-2019 02:18:33 5 6 -60 4 32425 4366.3757 80.0058
1 RS_20190115_021808_raw01 / 002 Lite 15-Jan-2019 02:18:41 5 6 -60 4 32655 4365.6845 80.0267
1 RS_20190115_021808_raw01 / 003 Lite 15-Jan-2019 02:18:49 5 6 -60 4 32384 4365.8852 80.0513
1 RS_20190115_021808_raw01 / 004 Lite 15-Jan-2019 02:18:56 5 6 -60 4 32398 4365.4462 80.0137
1 RS_20190115_021808_raw01 / 003 Dark 15-Jan-2019 02:19:14 5 6 -60 4 3723 3664.8174 0.21176
1 RS_20190115_021808_raw01 / 004 Dark 15-Jan-2019 02:19:22 5 6 -60 4 3715 3664.0822 0.21148
2 RS_20190115_021808_raw01 / 005 Dark 15-Jan-2019 02:19:52 5 6 -60 4 3714 3664.6273 0.21147
2 RS_20190115_021808_raw01 / 006 Dark 15-Jan-2019 02:20:00 5 6 -60 4 3721 3664.0622 0.21179
2 RS_20190115_021808_raw01 / 005 Lite 15-Jan-2019 02:20:18 5 6 -60 4 32389 4366.2812 80.0188
2 RS_20190115_021808_raw01 / 006 Lite 15-Jan-2019 02:20:25 5 6 -60 4 32446 4365.7188 80.0318
2 RS_20190115_021808_raw01 / 007 Lite 15-Jan-2019 02:20:33 5 6 -60 4 32397 4365.6833 80.0485
2 RS_20190115_021808_raw01 / 008 Lite 15-Jan-2019 02:20:41 5 6 -60 4 32373 4365.4933 80.0218
2 RS_20190115_021808_raw01 / 007 Dark 15-Jan-2019 02:20:59 5 6 -60 4 3714 3664.8368 0.2117
2 RS_20190115_021808_raw01 / 008 Dark 15-Jan-2019 02:21:06 5 6 -60 4 3718 3664.2502 0.21146
3 RS_20190115_021808_raw01 / 009 Dark 15-Jan-2019 02:21:48 5 6 -60 4 3710 3664.8613 0.21142
3 RS_20190115_021808_raw01 / 010 Dark 15-Jan-2019 02:21:56 5 6 -60 4 3704 3664.3625 0.21156
3 RS_20190115_021808_raw01 / 009 Lite 15-Jan-2019 02:22:14 5 6 -60 4 32480 4366.7922 80.0063
3 RS_20190115_021808_raw01 / 010 Lite 15-Jan-2019 02:22:21 5 6 -60 4 32193 4366.1562 80.0405
3 RS_20190115_021808_raw01 / 011 Lite 15-Jan-2019 02:22:29 5 6 -60 4 32300 4366.2128 80.0477
3 RS_20190115_021808_raw01 / 012 Lite 15-Jan-2019 02:22:37 5 6 -60 4 32330 4365.9458 80.0185
3 RS_20190115_021808_raw01 / 011 Dark 15-Jan-2019 02:22:54 5 6 -60 4 3728 3665.3103 0.21167
3 RS_20190115_021808_raw01 / 012 Dark 15-Jan-2019 02:23:02 5 6 -60 4 3713 3664.5328 0.21144
4 RS_20190115_021808_raw01 / 013 Dark 15-Jan-2019 02:23:37 5 6 -60 4 3719 3665.2329 0.21141
4 RS_20190115_021808_raw01 / 014 Dark 15-Jan-2019 02:23:45 5 6 -60 4 3715 3664.6695 0.21152
4 RS_20190115_021808_raw01 / 013 Lite 15-Jan-2019 02:24:02 5 6 -60 4 32564 4367.191 80.0232
4 RS_20190115_021808_raw01 / 014 Lite 15-Jan-2019 02:24:10 5 6 -60 4 32212 4366.6959 80.0476
4 RS_20190115_021808_raw01 / 015 Lite 15-Jan-2019 02:24:18 5 6 -60 4 32315 4366.7633 80.0592
4 RS_20190115_021808_raw01 / 016 Lite 15-Jan-2019 02:24:25 5 6 -60 4 32592 4366.3621 80.0254
4 RS_20190115_021808_raw01 / 015 Dark 15-Jan-2019 02:24:43 5 6 -60 4 3712 3665.451 0.21179
4 RS_20190115_021808_raw01 / 016 Dark 15-Jan-2019 02:24:51 5 6 -60 4 3717 3664.7089 0.21144
5 RS_20190115_021808_raw01 / 017 Dark 15-Jan-2019 02:25:22 5 6 -60 4 3719 3665.4557 0.21136
5 RS_20190115_021808_raw01 / 018 Dark 15-Jan-2019 02:25:29 5 6 -60 4 3720 3664.8803 0.21203
5 RS_20190115_021808_raw01 / 017 Lite 15-Jan-2019 02:25:47 5 6 -60 4 32195 4367.3253 80.0123
5 RS_20190115_021808_raw01 / 018 Lite 15-Jan-2019 02:25:55 5 6 -60 4 32258 4366.6661 80.027
5 RS_20190115_021808_raw01 / 019 Lite 15-Jan-2019 02:26:02 5 6 -60 4 32392 4366.8857 80.0516
5 RS_20190115_021808_raw01 / 020 Lite 15-Jan-2019 02:26:10 5 6 -60 4 32373 4366.3639 80.0141
5 RS_20190115_021808_raw01 / 019 Dark 15-Jan-2019 02:26:28 5 6 -60 4 3725 3665.6803 0.21149
5 RS_20190115_021808_raw01 / 020 Dark 15-Jan-2019 02:26:35 5 6 -60 4 3721 3664.9303 0.21167
6 RS_20190115_021808_raw01 / 021 Dark 15-Jan-2019 02:36:12 5 6 -60 4 3715 3666.3683 0.21113
6 RS_20190115_021808_raw01 / 022 Dark 15-Jan-2019 02:36:20 5 6 -60 4 3722 3666.3282 0.21146
6 RS_20190115_021808_raw01 / 021 Lite 15-Jan-2019 02:36:37 5 6 -60 4 31746 4356.6324 78.8201
6 RS_20190115_021808_raw01 / 022 Lite 15-Jan-2019 02:36:45 5 6 -60 4 31786 4356.2338 78.8444
6 RS_20190115_021808_raw01 / 023 Lite 15-Jan-2019 02:36:53 5 6 -60 4 31956 4356.5286 78.8633
6 RS_20190115_021808_raw01 / 024 Lite 15-Jan-2019 02:37:00 5 6 -60 4 32196 4356.087 78.8162
6 RS_20190115_021808_raw01 / 023 Dark 15-Jan-2019 02:37:18 5 6 -60 4 4728 3667.2864 0.21658
6 RS_20190115_021808_raw01 / 024 Dark 15-Jan-2019 02:37:26 5 6 -60 4 4426 3666.5165 0.21512
7 RS_20190115_021808_raw01 / 025 Dark 15-Jan-2019 02:37:59 5 6 -60 4 3708 3667.0302 0.21137
7 RS_20190115_021808_raw01 / 026 Dark 15-Jan-2019 02:38:07 5 6 -60 4 4793 3666.6091 0.21442
7 RS_20190115_021808_raw01 / 025 Lite 15-Jan-2019 02:38:25 5 6 -60 4 31816 4356.9425 78.8485
7 RS_20190115_021808_raw01 / 026 Lite 15-Jan-2019 02:38:32 5 6 -60 4 31833 4356.5577 78.8528
7 RS_20190115_021808_raw01 / 027 Lite 15-Jan-2019 02:38:40 5 6 -60 4 31883 4356.4057 78.8605
7 RS_20190115_021808_raw01 / 028 Lite 15-Jan-2019 02:38:48 5 6 -60 4 31852 4356.0679 78.8258
7 RS_20190115_021808_raw01 / 027 Dark 15-Jan-2019 02:39:06 5 6 -60 4 3725 3667.2491 0.21136
7 RS_20190115_021808_raw01 / 028 Dark 15-Jan-2019 02:39:13 5 6 -60 4 3723 3666.5201 0.21145
8 RS_20190115_021808_raw01 / 029 Dark 15-Jan-2019 02:42:17 5 6 -60 4 3720 3666.7265 0.21111
8 RS_20190115_021808_raw01 / 030 Dark 15-Jan-2019 02:42:24 5 6 -60 4 3718 3666.8133 0.21113
8 RS_20190115_021808_raw01 / 029 Lite 15-Jan-2019 02:42:42 5 6 -60 4 31876 4357.6015 78.8524
8 RS_20190115_021808_raw01 / 030 Lite 15-Jan-2019 02:42:50 5 6 -60 4 31817 4357.4058 78.8693
8 RS_20190115_021808_raw01 / 031 Lite 15-Jan-2019 02:42:57 5 6 -60 4 31777 4357.5489 78.8774
8 RS_20190115_021808_raw01 / 032 Lite 15-Jan-2019 02:43:05 5 6 -60 4 31849 4357.2046 78.845
8 RS_20190115_021808_raw01 / 031 Dark 15-Jan-2019 02:43:23 5 6 -60 4 3730 3667.8722 0.21134
8 RS_20190115_021808_raw01 / 032 Dark 15-Jan-2019 02:43:31 5 6 -60 4 5347 3667.4073 0.21781
9 RS_20190115_021808_raw01 / 033 Dark 15-Jan-2019 02:44:03 5 6 -60 4 3718 3667.6016 0.2114
9 RS_20190115_021808_raw01 / 034 Dark 15-Jan-2019 02:44:11 5 6 -60 4 3719 3667.1309 0.21121
9 RS_20190115_021808_raw01 / 033 Lite 15-Jan-2019 02:44:28 5 6 -60 4 31878 4357.9372 78.867
9 RS_20190115_021808_raw01 / 034 Lite 15-Jan-2019 02:44:36 5 6 -60 4 32042 4357.4342 78.8818
9 RS_20190115_021808_raw01 / 035 Lite 15-Jan-2019 02:44:44 5 6 -60 4 31825 4357.503 78.8853
9 RS_20190115_021808_raw01 / 036 Lite 15-Jan-2019 02:44:51 5 6 -60 4 31883 4357.2307 78.8498
9 RS_20190115_021808_raw01 / 035 Dark 15-Jan-2019 02:45:09 5 6 -60 4 3720 3667.8341 0.21159
9 RS_20190115_021808_raw01 / 036 Dark 15-Jan-2019 02:45:17 5 6 -60 4 5893 3667.2662 0.23712
10 RS_20190115_021808_raw01 / 037 Dark 15-Jan-2019 02:51:58 5 6 -60 4 3723 3667.1439 0.21115
10 RS_20190115_021808_raw01 / 038 Dark 15-Jan-2019 02:52:06 5 6 -60 4 3716 3667.2863 0.21085
10 RS_20190115_021808_raw01 / 037 Lite 15-Jan-2019 02:52:24 5 6 -60 4 32603 4370.5172 80.0369
10 RS_20190115_021808_raw01 / 038 Lite 15-Jan-2019 02:52:32 5 6 -60 4 32426 4370.5674 80.0643
10 RS_20190115_021808_raw01 / 039 Lite 15-Jan-2019 02:52:39 5 6 -60 4 32530 4370.4758 80.0533
10 RS_20190115_021808_raw01 / 040 Lite 15-Jan-2019 02:52:47 5 6 -60 4 32630 4370.1401 80.0162
10 RS_20190115_021808_raw01 / 039 Dark 15-Jan-2019 02:53:05 5 6 -60 4 3724 3668.2212 0.21117
10 RS_20190115_021808_raw01 / 040 Dark 15-Jan-2019 02:53:12 5 6 -60 4 4637 3667.7628 0.21547
11 RS_20190115_021808_raw01 / 041 Dark 15-Jan-2019 02:54:30 5 6 -60 4 3721 3667.3032 0.21065
11 RS_20190115_021808_raw01 / 042 Dark 15-Jan-2019 02:54:37 5 6 -60 4 3720 3667.5335 0.21118
11 RS_20190115_021808_raw01 / 041 Lite 15-Jan-2019 02:54:55 5 6 -60 4 32608 4370.5301 80.0452
11 RS_20190115_021808_raw01 / 042 Lite 15-Jan-2019 02:55:03 5 6 -60 4 32499 4370.4224 80.0419
11 RS_20190115_021808_raw01 / 043 Lite 15-Jan-2019 02:55:10 5 6 -60 4 32399 4370.659 80.053
11 RS_20190115_021808_raw01 / 044 Lite 15-Jan-2019 02:55:18 5 6 -60 4 32446 4370.363 80.014
11 RS_20190115_021808_raw01 / 043 Dark 15-Jan-2019 02:55:36 5 6 -60 4 3733 3668.4628 0.21128
11 RS_20190115_021808_raw01 / 044 Dark 15-Jan-2019 02:55:43 5 6 -60 4 4709 3667.9745 0.21493
12 RS_20190115_021808_raw01 / 045 Dark 15-Jan-2019 02:56:18 5 6 -60 4 3728 3667.8787 0.21093
12 RS_20190115_021808_raw01 / 046 Dark 15-Jan-2019 02:56:25 5 6 -60 4 3719 3667.8177 0.21141
12 RS_20190115_021808_raw01 / 045 Lite 15-Jan-2019 02:56:43 5 6 -60 4 32298 4370.7114 80.0171
12 RS_20190115_021808_raw01 / 046 Lite 15-Jan-2019 02:56:51 5 6 -60 4 32631 4370.5137 80.045
12 RS_20190115_021808_raw01 / 047 Lite 15-Jan-2019 02:56:59 5 6 -60 4 32391 4370.6326 80.0479
12 RS_20190115_021808_raw01 / 048 Lite 15-Jan-2019 02:57:06 5 6 -60 4 32353 4370.5601 80.0267
12 RS_20190115_021808_raw01 / 047 Dark 15-Jan-2019 02:57:24 5 6 -60 4 3724 3668.6206 0.21101
12 RS_20190115_021808_raw01 / 048 Dark 15-Jan-2019 02:57:32 5 6 -60 4 3718 3668.0194 0.21113
13 RS_20190115_021808_raw01 / 049 Dark 15-Jan-2019 02:58:22 5 6 -60 4 3733 3667.7523 0.21102
13 RS_20190115_021808_raw01 / 050 Dark 15-Jan-2019 02:58:29 5 6 -60 4 3712 3667.7477 0.21101
13 RS_20190115_021808_raw01 / 049 Lite 15-Jan-2019 02:58:47 5 6 -60 4 32384 4370.8171 80.0309
13 RS_20190115_021808_raw01 / 050 Lite 15-Jan-2019 02:58:55 5 6 -60 4 32467 4370.7276 80.0528
13 RS_20190115_021808_raw01 / 051 Lite 15-Jan-2019 02:59:02 5 6 -60 4 32360 4370.809 80.0424
13 RS_20190115_021808_raw01 / 052 Lite 15-Jan-2019 02:59:10 5 6 -60 4 32514 4370.6797 80.0157
13 RS_20190115_021808_raw01 / 051 Dark 15-Jan-2019 02:59:28 5 6 -60 4 6933 3668.7281 0.22845
13 RS_20190115_021808_raw01 / 052 Dark 15-Jan-2019 02:59:35 5 6 -60 4 3734 3668.3351 0.21175
14 RS_20190115_021808_raw01 / 053 Dark 15-Jan-2019 03:10:20 5 6 -60 4 3707 3667.7508 0.21094
14 RS_20190115_021808_raw01 / 054 Dark 15-Jan-2019 03:10:28 5 6 -60 4 4646 3668.354 0.2145
14 RS_20190115_021808_raw01 / 053 Lite 15-Jan-2019 03:10:45 5 6 -60 4 32083 4363.7026 79.2816
14 RS_20190115_021808_raw01 / 054 Lite 15-Jan-2019 03:10:53 5 6 -60 4 32106 4364.0607 79.3035
14 RS_20190115_021808_raw01 / 055 Lite 15-Jan-2019 03:11:01 5 6 -60 4 32106 4364.2338 79.2969
14 RS_20190115_021808_raw01 / 056 Lite 15-Jan-2019 03:11:08 5 6 -60 4 32020 4364.0631 79.2555
14 RS_20190115_021808_raw01 / 055 Dark 15-Jan-2019 03:11:26 5 6 -60 4 3711 3669.5787 0.21115
14 RS_20190115_021808_raw01 / 056 Dark 15-Jan-2019 03:11:34 5 6 -60 4 14943 3669.3659 0.59367
15 RS_20190115_021808_raw01 / 057 Dark 15-Jan-2019 03:12:11 5 6 -60 4 3722 3668.9122 0.21116
15 RS_20190115_021808_raw01 / 058 Dark 15-Jan-2019 03:12:18 5 6 -60 4 3723 3668.8178 0.21123
15 RS_20190115_021808_raw01 / 057 Lite 15-Jan-2019 03:12:36 5 6 -60 4 32195 4364.1622 79.2805
15 RS_20190115_021808_raw01 / 058 Lite 15-Jan-2019 03:12:44 5 6 -60 4 32058 4364.1775 79.3017
15 RS_20190115_021808_raw01 / 059 Lite 15-Jan-2019 03:12:51 5 6 -60 4 32030 4364.4507 79.3133
15 RS_20190115_021808_raw01 / 060 Lite 15-Jan-2019 03:12:59 5 6 -60 4 31995 4364.0837 79.2712
15 RS_20190115_021808_raw01 / 059 Dark 15-Jan-2019 03:13:17 5 6 -60 4 3721 3669.629 0.21126
15 RS_20190115_021808_raw01 / 060 Dark 15-Jan-2019 03:13:24 5 6 -60 4 3718 3669.2982 0.21119
16 RS_20190115_021808_raw01 / 061 Dark 15-Jan-2019 03:13:57 5 6 -60 4 3714 3669.0172 0.21091
16 RS_20190115_021808_raw01 / 062 Dark 15-Jan-2019 03:14:04 5 6 -60 4 3713 3669.038 0.21138
16 RS_20190115_021808_raw01 / 061 Lite 15-Jan-2019 03:14:22 5 6 -60 4 31958 4364.5029 79.2955
16 RS_20190115_021808_raw01 / 062 Lite 15-Jan-2019 03:14:30 5 6 -60 4 32139 4364.2868 79.3045
16 RS_20190115_021808_raw01 / 063 Lite 15-Jan-2019 03:14:37 5 6 -60 4 32286 4364.4409 79.3119
16 RS_20190115_021808_raw01 / 064 Lite 15-Jan-2019 03:14:45 5 6 -60 4 32349 4364.2726 79.272
16 RS_20190115_021808_raw01 / 063 Dark 15-Jan-2019 03:15:03 5 6 -60 4 3719 3669.7129 0.2109
16 RS_20190115_021808_raw01 / 064 Dark 15-Jan-2019 03:15:10 5 6 -60 4 3715 3669.4169 0.21152
17 RS_20190115_021808_raw01 / 065 Dark 15-Jan-2019 03:15:46 5 6 -60 4 3721 3669.0954 0.21085
17 RS_20190115_021808_raw01 / 066 Dark 15-Jan-2019 03:15:54 5 6 -60 4 3706 3669.1078 0.21079
17 RS_20190115_021808_raw01 / 065 Lite 15-Jan-2019 03:16:12 5 6 -60 4 32328 4364.7814 79.311
17 RS_20190115_021808_raw01 / 066 Lite 15-Jan-2019 03:16:19 5 6 -60 4 32162 4364.7027 79.309
17 RS_20190115_021808_raw01 / 067 Lite 15-Jan-2019 03:16:27 5 6 -60 4 32165 4364.9742 79.3185
17 RS_20190115_021808_raw01 / 068 Lite 15-Jan-2019 03:16:35 5 6 -60 4 32210 4364.8393 79.2859
17 RS_20190115_021808_raw01 / 067 Dark 15-Jan-2019 03:16:53 5 6 -60 4 3718 3670.044 0.21123
17 RS_20190115_021808_raw01 / 068 Dark 15-Jan-2019 03:17:00 5 6 -60 4 3715 3669.6645 0.21123
18 RS_20190115_021808_raw01 / 069 Dark 15-Jan-2019 03:23:50 5 6 -60 4 4925 3668.7065 0.22412
18 RS_20190115_021808_raw01 / 070 Dark 15-Jan-2019 03:23:57 5 6 -60 4 3714 3669.2743 0.21094
18 RS_20190115_021808_raw01 / 069 Lite 15-Jan-2019 03:24:15 5 6 -60 4 32283 4363.4998 79.1319
18 RS_20190115_021808_raw01 / 070 Lite 15-Jan-2019 03:24:23 5 6 -60 4 32116 4363.5872 79.1316
18 RS_20190115_021808_raw01 / 071 Lite 15-Jan-2019 03:24:30 5 6 -60 4 32164 4363.8616 79.1256
18 RS_20190115_021808_raw01 / 072 Lite 15-Jan-2019 03:24:38 5 6 -60 4 32045 4363.7855 79.0926
18 RS_20190115_021808_raw01 / 071 Dark 15-Jan-2019 03:24:56 5 6 -60 4 3721 3670.8298 0.21096
18 RS_20190115_021808_raw01 / 072 Dark 15-Jan-2019 03:25:03 5 6 -60 4 6364 3670.476 0.23388
19 RS_20190115_021808_raw01 / 073 Dark 15-Jan-2019 03:25:37 5 6 -60 4 3720 3669.9742 0.21126
19 RS_20190115_021808_raw01 / 074 Dark 15-Jan-2019 03:25:44 5 6 -60 4 3731 3669.9622 0.21094
19 RS_20190115_021808_raw01 / 073 Lite 15-Jan-2019 03:26:02 5 6 -60 4 31941 4363.9523 79.1251
19 RS_20190115_021808_raw01 / 074 Lite 15-Jan-2019 03:26:10 5 6 -60 4 32211 4363.5945 79.1055
19 RS_20190115_021808_raw01 / 075 Lite 15-Jan-2019 03:26:17 5 6 -60 4 32042 4363.8395 79.1123
19 RS_20190115_021808_raw01 / 076 Lite 15-Jan-2019 03:26:25 5 6 -60 4 31965 4364.1524 79.1287
19 RS_20190115_021808_raw01 / 075 Dark 15-Jan-2019 03:26:43 5 6 -60 4 3720 3670.8331 0.21071
19 RS_20190115_021808_raw01 / 076 Dark 15-Jan-2019 03:26:50 5 6 -60 4 3719 3670.5318 0.21099
20 RS_20190115_021808_raw01 / 077 Dark 15-Jan-2019 03:27:34 5 6 -60 4 3715 3669.6275 0.21095
20 RS_20190115_021808_raw01 / 078 Dark 15-Jan-2019 03:27:42 5 6 -60 4 3719 3669.8111 0.211
20 RS_20190115_021808_raw01 / 077 Lite 15-Jan-2019 03:27:59 5 6 -60 4 32047 4363.8469 79.1277
20 RS_20190115_021808_raw01 / 078 Lite 15-Jan-2019 03:28:07 5 6 -60 4 32155 4363.9135 79.1366
20 RS_20190115_021808_raw01 / 079 Lite 15-Jan-2019 03:28:15 5 6 -60 4 32070 4364.1484 79.1297
20 RS_20190115_021808_raw01 / 080 Lite 15-Jan-2019 03:28:22 5 6 -60 4 31912 4364.0374 79.0964
20 RS_20190115_021808_raw01 / 079 Dark 15-Jan-2019 03:28:40 5 6 -60 4 3721 3670.8569 0.21104
20 RS_20190115_021808_raw01 / 080 Dark 15-Jan-2019 03:28:48 5 6 -60 4 5345 3670.6663 0.21933
21 RS_20190115_021808_raw01 / 081 Dark 15-Jan-2019 03:29:20 5 6 -60 4 3726 3670.1784 0.21089
21 RS_20190115_021808_raw01 / 082 Dark 15-Jan-2019 03:29:28 5 6 -60 4 3708 3670.3431 0.21084
21 RS_20190115_021808_raw01 / 081 Lite 15-Jan-2019 03:29:46 5 6 -60 4 32129 4364.4585 79.1329
21 RS_20190115_021808_raw01 / 082 Lite 15-Jan-2019 03:29:54 5 6 -60 4 32091 4364.3885 79.1435
21 RS_20190115_021808_raw01 / 083 Lite 15-Jan-2019 03:30:01 5 6 -60 4 32117 4364.5566 79.1489
21 RS_20190115_021808_raw01 / 084 Lite 15-Jan-2019 03:30:09 5 6 -60 4 32001 4364.4324 79.1072
21 RS_20190115_021808_raw01 / 083 Dark 15-Jan-2019 03:30:27 5 6 -60 4 3732 3671.0982 0.21086
21 RS_20190115_021808_raw01 / 084 Dark 15-Jan-2019 03:30:34 5 6 -60 4 3722 3670.8179 0.21098
22 RS_20190115_021808_raw01 / 085 Dark 15-Jan-2019 03:34:38 5 6 -60 4 3721 3669.4275 0.2111
22 RS_20190115_021808_raw01 / 086 Dark 15-Jan-2019 03:34:45 5 6 -60 4 3718 3670.1392 0.21111
22 RS_20190115_021808_raw01 / 085 Lite 15-Jan-2019 03:35:03 5 6 -60 4 31923 4366.6415 79.3242
22 RS_20190115_021808_raw01 / 086 Lite 15-Jan-2019 03:35:11 5 6 -60 4 32220 4366.7698 79.332
22 RS_20190115_021808_raw01 / 087 Lite 15-Jan-2019 03:35:18 5 6 -60 4 32150 4367.1013 79.3407
22 RS_20190115_021808_raw01 / 088 Lite 15-Jan-2019 03:35:26 5 6 -60 4 32235 4367.2166 79.3146
22 RS_20190115_021808_raw01 / 087 Dark 15-Jan-2019 03:35:44 5 6 -60 4 5155 3671.6194 0.21749
22 RS_20190115_021808_raw01 / 088 Dark 15-Jan-2019 03:35:51 5 6 -60 4 3734 3671.232 0.21103
23 RS_20190115_021808_raw01 / 089 Dark 15-Jan-2019 03:36:46 5 6 -60 4 3723 3670.2317 0.2108
23 RS_20190115_021808_raw01 / 090 Dark 15-Jan-2019 03:36:53 5 6 -60 4 3725 3670.5958 0.21069
23 RS_20190115_021808_raw01 / 089 Lite 15-Jan-2019 03:37:11 5 6 -60 4 32292 4366.8214 79.3272
23 RS_20190115_021808_raw01 / 090 Lite 15-Jan-2019 03:37:19 5 6 -60 4 32496 4367.0245 79.3465
23 RS_20190115_021808_raw01 / 091 Lite 15-Jan-2019 03:37:26 5 6 -60 4 32200 4367.2411 79.3443
23 RS_20190115_021808_raw01 / 092 Lite 15-Jan-2019 03:37:34 5 6 -60 4 32238 4367.1578 79.3152
23 RS_20190115_021808_raw01 / 091 Dark 15-Jan-2019 03:37:52 5 6 -60 4 3717 3671.5159 0.21088
23 RS_20190115_021808_raw01 / 092 Dark 15-Jan-2019 03:37:59 5 6 -60 4 3728 3671.3441 0.21121
24 RS_20190115_021808_raw01 / 093 Dark 15-Jan-2019 03:38:34 5 6 -60 4 3723 3670.7416 0.21098
24 RS_20190115_021808_raw01 / 094 Dark 15-Jan-2019 03:38:41 5 6 -60 4 3725 3670.9905 0.21107
24 RS_20190115_021808_raw01 / 093 Lite 15-Jan-2019 03:38:59 5 6 -60 4 32490 4367.1854 79.3332
24 RS_20190115_021808_raw01 / 094 Lite 15-Jan-2019 03:39:07 5 6 -60 4 32418 4367.1602 79.3365
24 RS_20190115_021808_raw01 / 095 Lite 15-Jan-2019 03:39:14 5 6 -60 4 32182 4367.2935 79.3354
24 RS_20190115_021808_raw01 / 096 Lite 15-Jan-2019 03:39:22 5 6 -60 4 32174 4367.2857 79.2953
24 RS_20190115_021808_raw01 / 095 Dark 15-Jan-2019 03:39:40 5 6 -60 4 3734 3671.8434 0.21097
24 RS_20190115_021808_raw01 / 096 Dark 15-Jan-2019 03:39:47 5 6 -60 4 3724 3671.4587 0.21085
25 RS_20190115_021808_raw01 / 097 Dark 15-Jan-2019 03:40:18 5 6 -60 4 3719 3670.9694 0.21097
25 RS_20190115_021808_raw01 / 098 Dark 15-Jan-2019 03:40:26 5 6 -60 4 3714 3671.1262 0.2107
25 RS_20190115_021808_raw01 / 097 Lite 15-Jan-2019 03:40:44 5 6 -60 4 32081 4367.4665 79.3402
25 RS_20190115_021808_raw01 / 098 Lite 15-Jan-2019 03:40:51 5 6 -60 4 32233 4367.384 79.3572
25 RS_20190115_021808_raw01 / 099 Lite 15-Jan-2019 03:40:59 5 6 -60 4 32081 4367.5752 79.3435
25 RS_20190115_021808_raw01 / 100 Lite 15-Jan-2019 03:41:06 5 6 -60 4 32405 4367.5092 79.3209
25 RS_20190115_021808_raw01 / 099 Dark 15-Jan-2019 03:41:24 5 6 -60 4 3735 3671.7789 0.21129
25 RS_20190115_021808_raw01 / 100 Dark 15-Jan-2019 03:41:32 5 6 -60 4 7295 3671.5107 0.25044
26 RS_20190115_021808_raw01 / 101 Dark 15-Jan-2019 03:47:28 5 6 -60 4 3707 3670.0121 0.21077
26 RS_20190115_021808_raw01 / 102 Dark 15-Jan-2019 03:47:36 5 6 -60 4 3711 3670.8228 0.21111
26 RS_20190115_021808_raw01 / 101 Lite 15-Jan-2019 03:47:53 5 6 -60 4 32702 4374.5776 80.0195
26 RS_20190115_021808_raw01 / 102 Lite 15-Jan-2019 03:48:01 5 6 -60 4 32295 4374.9655 80.0302
26 RS_20190115_021808_raw01 / 103 Lite 15-Jan-2019 03:48:09 5 6 -60 4 32399 4375.4171 80.0256
26 RS_20190115_021808_raw01 / 104 Lite 15-Jan-2019 03:48:16 5 6 -60 4 32569 4375.4467 79.9886
26 RS_20190115_021808_raw01 / 103 Dark 15-Jan-2019 03:48:34 5 6 -60 4 3722 3672.3713 0.21089
26 RS_20190115_021808_raw01 / 104 Dark 15-Jan-2019 03:48:42 5 6 -60 4 3714 3672.1269 0.21111
27 RS_20190115_021808_raw01 / 105 Dark 15-Jan-2019 03:49:16 5 6 -60 4 3724 3671.3994 0.21103
27 RS_20190115_021808_raw01 / 106 Dark 15-Jan-2019 03:49:24 5 6 -60 4 3725 3671.6839 0.21095
27 RS_20190115_021808_raw01 / 105 Lite 15-Jan-2019 03:49:41 5 6 -60 4 32507 4375.298 80.0225
27 RS_20190115_021808_raw01 / 106 Lite 15-Jan-2019 03:49:49 5 6 -60 4 32716 4375.3074 80.0325
27 RS_20190115_021808_raw01 / 107 Lite 15-Jan-2019 03:49:57 5 6 -60 4 32478 4375.6744 80.0437
27 RS_20190115_021808_raw01 / 108 Lite 15-Jan-2019 03:50:04 5 6 -60 4 32466 4375.4819 79.9938
27 RS_20190115_021808_raw01 / 107 Dark 15-Jan-2019 03:50:22 5 6 -60 4 3726 3672.4838 0.21111
27 RS_20190115_021808_raw01 / 108 Dark 15-Jan-2019 03:50:30 5 6 -60 4 3729 3672.1835 0.21103
28 RS_20190115_021808_raw01 / 109 Dark 15-Jan-2019 03:51:13 5 6 -60 4 3717 3671.1761 0.21108
28 RS_20190115_021808_raw01 / 110 Dark 15-Jan-2019 03:51:20 5 6 -60 4 8846 3671.3591 0.25682
28 RS_20190115_021808_raw01 / 109 Lite 15-Jan-2019 03:51:38 5 6 -60 4 32490 4375.0512 80.0134
28 RS_20190115_021808_raw01 / 110 Lite 15-Jan-2019 03:51:46 5 6 -60 4 32463 4375.1928 80.0249
28 RS_20190115_021808_raw01 / 111 Lite 15-Jan-2019 03:51:53 5 6 -60 4 32543 4375.4776 80.0181
28 RS_20190115_021808_raw01 / 112 Lite 15-Jan-2019 03:52:01 5 6 -60 4 32503 4375.3431 79.9867
28 RS_20190115_021808_raw01 / 111 Dark 15-Jan-2019 03:52:19 5 6 -60 4 3729 3672.5412 0.21075
28 RS_20190115_021808_raw01 / 112 Dark 15-Jan-2019 03:52:26 5 6 -60 4 3725 3672.2711 0.21126
29 RS_20190115_021808_raw01 / 113 Dark 15-Jan-2019 03:53:02 5 6 -60 4 4368 3671.4506 0.21309
29 RS_20190115_021808_raw01 / 114 Dark 15-Jan-2019 03:53:09 5 6 -60 4 3733 3671.7063 0.21087
29 RS_20190115_021808_raw01 / 113 Lite 15-Jan-2019 03:53:27 5 6 -60 4 32366 4375.204 80.023
29 RS_20190115_021808_raw01 / 114 Lite 15-Jan-2019 03:53:35 5 6 -60 4 32514 4375.3869 80.0343
29 RS_20190115_021808_raw01 / 115 Lite 15-Jan-2019 03:53:42 5 6 -60 4 32474 4375.9054 80.0395
29 RS_20190115_021808_raw01 / 116 Lite 15-Jan-2019 03:53:50 5 6 -60 4 32376 4375.6772 79.9984
29 RS_20190115_021808_raw01 / 115 Dark 15-Jan-2019 03:54:08 5 6 -60 4 3735 3672.5977 0.2109
29 RS_20190115_021808_raw01 / 116 Dark 15-Jan-2019 03:54:15 5 6 -60 4 3722 3672.3813 0.21137
Grouped Image file: RS_20190115_N001_grouped.html
Grouped Image file: RS_20190115_N002_grouped.html
Grouped Image file: RS_20190115_N003_grouped.html
Grouped Image file: RS_20190115_N005_grouped.html
Grouped Image file: RS_20190115_N006_grouped.html
Grouped Image file: RS_20190115_N007_grouped.html
Grouped Image file: RS_20190115_N009_grouped.html
Grouped Image file: RS_20190115_N020_grouped.html
Grouped Image file: RS_20190115_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 12:49:09
Created from mkhtml2_(1)