RS_20190111_034633_raw01 - Day 2

REVISION DATE: 28-Jan-2019 12:47:41

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_20190111_034633_raw01 / 001 Dark 11-Jan-2019 03:46:33 5 6 -60 4 3719 3678.3721 0.21096
1 RS_20190111_034633_raw01 / 002 Dark 11-Jan-2019 03:46:40 5 6 -60 4 3724 3679.1366 0.21074
1 RS_20190111_034633_raw01 / 001 Lite 11-Jan-2019 03:46:58 5 6 -60 4 32518 4384.9658 80.0539
1 RS_20190111_034633_raw01 / 002 Lite 11-Jan-2019 03:47:06 5 6 -60 4 32525 4385.3793 80.0637
1 RS_20190111_034633_raw01 / 003 Lite 11-Jan-2019 03:47:13 5 6 -60 4 32677 4385.6973 80.0616
1 RS_20190111_034633_raw01 / 004 Lite 11-Jan-2019 03:47:21 5 6 -60 4 32606 4385.8886 80.0556
1 RS_20190111_034633_raw01 / 003 Dark 11-Jan-2019 03:47:39 5 6 -60 4 3726 3680.7165 0.21068
1 RS_20190111_034633_raw01 / 004 Dark 11-Jan-2019 03:47:46 5 6 -60 4 3733 3680.5154 0.2109
2 RS_20190111_034633_raw01 / 005 Dark 11-Jan-2019 03:48:22 5 6 -60 4 3718 3679.7917 0.21074
2 RS_20190111_034633_raw01 / 006 Dark 11-Jan-2019 03:48:30 5 6 -60 4 3734 3679.8198 0.21086
2 RS_20190111_034633_raw01 / 005 Lite 11-Jan-2019 03:48:48 5 6 -60 4 32606 4385.8019 80.0935
2 RS_20190111_034633_raw01 / 006 Lite 11-Jan-2019 03:48:55 5 6 -60 4 32626 4385.6709 80.1047
2 RS_20190111_034633_raw01 / 007 Lite 11-Jan-2019 03:49:03 5 6 -60 4 32515 4386.0116 80.1188
2 RS_20190111_034633_raw01 / 008 Lite 11-Jan-2019 03:49:10 5 6 -60 4 32607 4385.9629 80.0806
2 RS_20190111_034633_raw01 / 007 Dark 11-Jan-2019 03:49:28 5 6 -60 4 3723 3680.7353 0.21106
2 RS_20190111_034633_raw01 / 008 Dark 11-Jan-2019 03:49:36 5 6 -60 4 3717 3680.391 0.21099
3 RS_20190111_034633_raw01 / 009 Dark 11-Jan-2019 03:50:08 5 6 -60 4 3739 3679.8903 0.2108
3 RS_20190111_034633_raw01 / 010 Dark 11-Jan-2019 03:50:15 5 6 -60 4 3722 3680.0125 0.2109
3 RS_20190111_034633_raw01 / 009 Lite 11-Jan-2019 03:50:33 5 6 -60 4 32624 4386.0047 80.1196
3 RS_20190111_034633_raw01 / 010 Lite 11-Jan-2019 03:50:41 5 6 -60 4 32625 4385.8994 80.1167
3 RS_20190111_034633_raw01 / 011 Lite 11-Jan-2019 03:50:49 5 6 -60 4 32475 4386.3362 80.133
3 RS_20190111_034633_raw01 / 012 Lite 11-Jan-2019 03:50:56 5 6 -60 4 32613 4386.2692 80.0984
3 RS_20190111_034633_raw01 / 011 Dark 11-Jan-2019 03:51:14 5 6 -60 4 3730 3680.7431 0.21096
3 RS_20190111_034633_raw01 / 012 Dark 11-Jan-2019 03:51:22 5 6 -60 4 3751 3680.4552 0.2114
4 RS_20190111_034633_raw01 / 013 Dark 11-Jan-2019 03:51:57 5 6 -60 4 3728 3679.8627 0.21056
4 RS_20190111_034633_raw01 / 014 Dark 11-Jan-2019 03:52:05 5 6 -60 4 3738 3679.9157 0.21094
4 RS_20190111_034633_raw01 / 013 Lite 11-Jan-2019 03:52:22 5 6 -60 4 32473 4386.1852 80.1335
4 RS_20190111_034633_raw01 / 014 Lite 11-Jan-2019 03:52:30 5 6 -60 4 32612 4386.3635 80.148
4 RS_20190111_034633_raw01 / 015 Lite 11-Jan-2019 03:52:38 5 6 -60 4 32921 4386.6241 80.1509
4 RS_20190111_034633_raw01 / 016 Lite 11-Jan-2019 03:52:45 5 6 -60 4 32624 4386.539 80.1175
4 RS_20190111_034633_raw01 / 015 Dark 11-Jan-2019 03:53:03 5 6 -60 4 3723 3680.6757 0.21127
4 RS_20190111_034633_raw01 / 016 Dark 11-Jan-2019 03:53:11 5 6 -60 4 3729 3680.5554 0.21092
5 RS_20190111_034633_raw01 / 017 Dark 11-Jan-2019 03:54:13 5 6 -60 4 3725 3679.0976 0.21078
5 RS_20190111_034633_raw01 / 018 Dark 11-Jan-2019 03:54:20 5 6 -60 4 3736 3679.6285 0.21087
5 RS_20190111_034633_raw01 / 017 Lite 11-Jan-2019 03:54:38 5 6 -60 4 32705 4386.1303 80.1386
5 RS_20190111_034633_raw01 / 018 Lite 11-Jan-2019 03:54:46 5 6 -60 4 32451 4386.1267 80.146
5 RS_20190111_034633_raw01 / 019 Lite 11-Jan-2019 03:54:54 5 6 -60 4 32596 4386.592 80.1523
5 RS_20190111_034633_raw01 / 020 Lite 11-Jan-2019 03:55:01 5 6 -60 4 32516 4386.4378 80.1061
5 RS_20190111_034633_raw01 / 019 Dark 11-Jan-2019 03:55:19 5 6 -60 4 3733 3680.7609 0.21109
5 RS_20190111_034633_raw01 / 020 Dark 11-Jan-2019 03:55:27 5 6 -60 4 3742 3680.4912 0.21066
6 RS_20190111_034633_raw01 / 021 Dark 11-Jan-2019 04:06:47 5 6 -60 4 3721 3678.9226 0.21078
6 RS_20190111_034633_raw01 / 022 Dark 11-Jan-2019 04:06:54 5 6 -60 4 3736 3679.8506 0.21035
6 RS_20190111_034633_raw01 / 021 Lite 11-Jan-2019 04:07:12 5 6 -60 4 32553 4385.5679 80.0599
6 RS_20190111_034633_raw01 / 022 Lite 11-Jan-2019 04:07:20 5 6 -60 4 32559 4385.9272 80.0673
6 RS_20190111_034633_raw01 / 023 Lite 11-Jan-2019 04:07:27 5 6 -60 4 32504 4386.2346 80.0603
6 RS_20190111_034633_raw01 / 024 Lite 11-Jan-2019 04:07:35 5 6 -60 4 32679 4386.3342 80.0262
6 RS_20190111_034633_raw01 / 023 Dark 11-Jan-2019 04:07:53 5 6 -60 4 5122 3681.2099 0.21852
6 RS_20190111_034633_raw01 / 024 Dark 11-Jan-2019 04:08:01 5 6 -60 4 3731 3681.0121 0.21112
7 RS_20190111_034633_raw01 / 025 Dark 11-Jan-2019 04:08:43 5 6 -60 4 3729 3679.9708 0.21085
7 RS_20190111_034633_raw01 / 026 Dark 11-Jan-2019 04:08:51 5 6 -60 4 3737 3680.3422 0.2109
7 RS_20190111_034633_raw01 / 025 Lite 11-Jan-2019 04:09:08 5 6 -60 4 32432 4385.8124 80.0423
7 RS_20190111_034633_raw01 / 026 Lite 11-Jan-2019 04:09:16 5 6 -60 4 32500 4386.1547 80.0565
7 RS_20190111_034633_raw01 / 027 Lite 11-Jan-2019 04:09:24 5 6 -60 4 32527 4386.3772 80.0548
7 RS_20190111_034633_raw01 / 028 Lite 11-Jan-2019 04:09:31 5 6 -60 4 32437 4386.4217 80.0277
7 RS_20190111_034633_raw01 / 027 Dark 11-Jan-2019 04:09:49 5 6 -60 4 3723 3681.2388 0.21074
7 RS_20190111_034633_raw01 / 028 Dark 11-Jan-2019 04:09:57 5 6 -60 4 3729 3681.0914 0.21117
8 RS_20190111_034633_raw01 / 029 Dark 11-Jan-2019 04:10:28 5 6 -60 4 3726 3680.3318 0.21104
8 RS_20190111_034633_raw01 / 030 Dark 11-Jan-2019 04:10:36 5 6 -60 4 3732 3680.5974 0.2108
8 RS_20190111_034633_raw01 / 029 Lite 11-Jan-2019 04:10:54 5 6 -60 4 32597 4386.0786 80.0497
8 RS_20190111_034633_raw01 / 030 Lite 11-Jan-2019 04:11:01 5 6 -60 4 32426 4386.283 80.0627
8 RS_20190111_034633_raw01 / 031 Lite 11-Jan-2019 04:11:09 5 6 -60 4 32621 4386.5079 80.0635
8 RS_20190111_034633_raw01 / 032 Lite 11-Jan-2019 04:11:17 5 6 -60 4 32424 4386.3747 80.0349
8 RS_20190111_034633_raw01 / 031 Dark 11-Jan-2019 04:11:34 5 6 -60 4 3741 3681.4154 0.21097
8 RS_20190111_034633_raw01 / 032 Dark 11-Jan-2019 04:11:42 5 6 -60 4 3741 3681.0025 0.21111
9 RS_20190111_034633_raw01 / 033 Dark 11-Jan-2019 04:12:21 5 6 -60 4 3738 3680.1452 0.21101
9 RS_20190111_034633_raw01 / 034 Dark 11-Jan-2019 04:12:29 5 6 -60 4 3730 3680.443 0.21076
9 RS_20190111_034633_raw01 / 033 Lite 11-Jan-2019 04:12:47 5 6 -60 4 32508 4386.2217 80.0571
9 RS_20190111_034633_raw01 / 034 Lite 11-Jan-2019 04:12:54 5 6 -60 4 32537 4386.2008 80.0728
9 RS_20190111_034633_raw01 / 035 Lite 11-Jan-2019 04:13:02 5 6 -60 4 32672 4386.6326 80.0618
9 RS_20190111_034633_raw01 / 036 Lite 11-Jan-2019 04:13:09 5 6 -60 4 32578 4386.6314 80.0411
9 RS_20190111_034633_raw01 / 035 Dark 11-Jan-2019 04:13:27 5 6 -60 4 3737 3681.4757 0.21071
9 RS_20190111_034633_raw01 / 036 Dark 11-Jan-2019 04:13:35 5 6 -60 4 3729 3681.1353 0.21102
10 RS_20190111_034633_raw01 / 037 Dark 11-Jan-2019 04:18:11 5 6 -60 4 4475 3679.047 0.21284
10 RS_20190111_034633_raw01 / 038 Dark 11-Jan-2019 04:18:18 5 6 -60 4 4729 3679.9919 0.21326
10 RS_20190111_034633_raw01 / 037 Lite 11-Jan-2019 04:18:36 5 6 -60 4 32594 4387.5542 80.2012
10 RS_20190111_034633_raw01 / 038 Lite 11-Jan-2019 04:18:44 5 6 -60 4 32593 4387.858 80.2085
10 RS_20190111_034633_raw01 / 039 Lite 11-Jan-2019 04:18:51 5 6 -60 4 32590 4388.188 80.1962
10 RS_20190111_034633_raw01 / 040 Lite 11-Jan-2019 04:18:59 5 6 -60 4 32649 4388.2878 80.1526
10 RS_20190111_034633_raw01 / 039 Dark 11-Jan-2019 04:19:17 5 6 -60 4 3730 3681.5268 0.21063
10 RS_20190111_034633_raw01 / 040 Dark 11-Jan-2019 04:19:24 5 6 -60 4 3721 3681.4986 0.21099
11 RS_20190111_034633_raw01 / 041 Dark 11-Jan-2019 04:19:56 5 6 -60 4 3732 3680.7025 0.21117
11 RS_20190111_034633_raw01 / 042 Dark 11-Jan-2019 04:20:04 5 6 -60 4 3734 3680.9789 0.2105
11 RS_20190111_034633_raw01 / 041 Lite 11-Jan-2019 04:20:22 5 6 -60 4 32692 4388.0624 80.1919
11 RS_20190111_034633_raw01 / 042 Lite 11-Jan-2019 04:20:29 5 6 -60 4 32733 4388.1449 80.197
11 RS_20190111_034633_raw01 / 043 Lite 11-Jan-2019 04:20:37 5 6 -60 4 32772 4388.2253 80.1845
11 RS_20190111_034633_raw01 / 044 Lite 11-Jan-2019 04:20:45 5 6 -60 4 32547 4388.3709 80.1698
11 RS_20190111_034633_raw01 / 043 Dark 11-Jan-2019 04:21:02 5 6 -60 4 3729 3681.5994 0.21106
11 RS_20190111_034633_raw01 / 044 Dark 11-Jan-2019 04:21:10 5 6 -60 4 3721 3681.4157 0.21087
12 RS_20190111_034633_raw01 / 045 Dark 11-Jan-2019 04:21:41 5 6 -60 4 3730 3680.6803 0.21089
12 RS_20190111_034633_raw01 / 046 Dark 11-Jan-2019 04:21:49 5 6 -60 4 3718 3680.742 0.21102
12 RS_20190111_034633_raw01 / 045 Lite 11-Jan-2019 04:22:07 5 6 -60 4 32665 4388.0243 80.1935
12 RS_20190111_034633_raw01 / 046 Lite 11-Jan-2019 04:22:14 5 6 -60 4 32756 4388.0685 80.2032
12 RS_20190111_034633_raw01 / 047 Lite 11-Jan-2019 04:22:22 5 6 -60 4 32781 4388.4329 80.2067
12 RS_20190111_034633_raw01 / 048 Lite 11-Jan-2019 04:22:30 5 6 -60 4 32637 4388.1637 80.1625
12 RS_20190111_034633_raw01 / 047 Dark 11-Jan-2019 04:22:47 5 6 -60 4 4812 3681.7604 0.21537
12 RS_20190111_034633_raw01 / 048 Dark 11-Jan-2019 04:22:55 5 6 -60 4 3735 3681.4311 0.2109
13 RS_20190111_034633_raw01 / 049 Dark 11-Jan-2019 04:23:26 5 6 -60 4 3726 3680.6637 0.21063
13 RS_20190111_034633_raw01 / 050 Dark 11-Jan-2019 04:23:34 5 6 -60 4 5605 3680.8786 0.22806
13 RS_20190111_034633_raw01 / 049 Lite 11-Jan-2019 04:23:52 5 6 -60 4 32634 4388.0801 80.1981
13 RS_20190111_034633_raw01 / 050 Lite 11-Jan-2019 04:23:59 5 6 -60 4 32511 4388.3074 80.2052
13 RS_20190111_034633_raw01 / 051 Lite 11-Jan-2019 04:24:07 5 6 -60 4 32814 4388.7395 80.2151
13 RS_20190111_034633_raw01 / 052 Lite 11-Jan-2019 04:24:15 5 6 -60 4 32557 4388.4576 80.1663
13 RS_20190111_034633_raw01 / 051 Dark 11-Jan-2019 04:24:32 5 6 -60 4 3727 3681.7434 0.21126
13 RS_20190111_034633_raw01 / 052 Dark 11-Jan-2019 04:24:40 5 6 -60 4 3740 3681.555 0.21115
14 RS_20190111_034633_raw01 / 053 Dark 11-Jan-2019 04:27:29 5 6 -60 4 3724 3679.2975 0.21084
14 RS_20190111_034633_raw01 / 054 Dark 11-Jan-2019 04:27:37 5 6 -60 4 3736 3680.1655 0.21113
14 RS_20190111_034633_raw01 / 053 Lite 11-Jan-2019 04:27:55 5 6 -60 4 32589 4386.5491 80.078
14 RS_20190111_034633_raw01 / 054 Lite 11-Jan-2019 04:28:02 5 6 -60 4 32513 4387.0314 80.0863
14 RS_20190111_034633_raw01 / 055 Lite 11-Jan-2019 04:28:10 5 6 -60 4 32642 4387.4966 80.0879
14 RS_20190111_034633_raw01 / 056 Lite 11-Jan-2019 04:28:17 5 6 -60 4 32847 4387.402 80.0493
14 RS_20190111_034633_raw01 / 055 Dark 11-Jan-2019 04:28:35 5 6 -60 4 3745 3681.9227 0.21092
14 RS_20190111_034633_raw01 / 056 Dark 11-Jan-2019 04:28:43 5 6 -60 4 3736 3681.8041 0.21102
15 RS_20190111_034633_raw01 / 057 Dark 11-Jan-2019 04:29:15 5 6 -60 4 3745 3680.9266 0.21092
15 RS_20190111_034633_raw01 / 058 Dark 11-Jan-2019 04:29:23 5 6 -60 4 3727 3681.1893 0.21087
15 RS_20190111_034633_raw01 / 057 Lite 11-Jan-2019 04:29:41 5 6 -60 4 32518 4387.0381 80.0752
15 RS_20190111_034633_raw01 / 058 Lite 11-Jan-2019 04:29:48 5 6 -60 4 32604 4387.2817 80.0963
15 RS_20190111_034633_raw01 / 059 Lite 11-Jan-2019 04:29:56 5 6 -60 4 32528 4387.3843 80.0847
15 RS_20190111_034633_raw01 / 060 Lite 11-Jan-2019 04:30:03 5 6 -60 4 32713 4387.506 80.0524
15 RS_20190111_034633_raw01 / 059 Dark 11-Jan-2019 04:30:21 5 6 -60 4 3724 3681.9396 0.21079
15 RS_20190111_034633_raw01 / 060 Dark 11-Jan-2019 04:30:29 5 6 -60 4 12992 3681.6968 0.35721
16 RS_20190111_034633_raw01 / 061 Dark 11-Jan-2019 04:31:04 5 6 -60 4 3730 3680.7524 0.21078
16 RS_20190111_034633_raw01 / 062 Dark 11-Jan-2019 04:31:12 5 6 -60 4 3727 3680.9745 0.21133
16 RS_20190111_034633_raw01 / 061 Lite 11-Jan-2019 04:31:30 5 6 -60 4 32616 4387.046 80.0739
16 RS_20190111_034633_raw01 / 062 Lite 11-Jan-2019 04:31:37 5 6 -60 4 32681 4387.1065 80.083
16 RS_20190111_034633_raw01 / 063 Lite 11-Jan-2019 04:31:45 5 6 -60 4 32711 4387.6125 80.0922
16 RS_20190111_034633_raw01 / 064 Lite 11-Jan-2019 04:31:53 5 6 -60 4 32669 4387.6182 80.0579
16 RS_20190111_034633_raw01 / 063 Dark 11-Jan-2019 04:32:11 5 6 -60 4 6434 3681.899 0.22636
16 RS_20190111_034633_raw01 / 064 Dark 11-Jan-2019 04:32:18 5 6 -60 4 3733 3681.6809 0.21105
17 RS_20190111_034633_raw01 / 065 Dark 11-Jan-2019 04:33:03 5 6 -60 4 3724 3680.4165 0.21089
17 RS_20190111_034633_raw01 / 066 Dark 11-Jan-2019 04:33:11 5 6 -60 4 3732 3680.9368 0.2108
17 RS_20190111_034633_raw01 / 065 Lite 11-Jan-2019 04:33:28 5 6 -60 4 32781 4386.9865 80.0831
17 RS_20190111_034633_raw01 / 066 Lite 11-Jan-2019 04:33:36 5 6 -60 4 32664 4387.2731 80.0945
17 RS_20190111_034633_raw01 / 067 Lite 11-Jan-2019 04:33:44 5 6 -60 4 32625 4387.757 80.0891
17 RS_20190111_034633_raw01 / 068 Lite 11-Jan-2019 04:33:51 5 6 -60 4 32425 4387.4617 80.0498
17 RS_20190111_034633_raw01 / 067 Dark 11-Jan-2019 04:34:09 5 6 -60 4 3731 3681.9947 0.21079
17 RS_20190111_034633_raw01 / 068 Dark 11-Jan-2019 04:34:17 5 6 -60 4 3745 3681.8676 0.21112
18 RS_20190111_034633_raw01 / 069 Dark 11-Jan-2019 04:37:56 5 6 -60 4 3748 3679.5686 0.21101
18 RS_20190111_034633_raw01 / 070 Dark 11-Jan-2019 04:38:03 5 6 -60 4 3735 3680.5223 0.21073
18 RS_20190111_034633_raw01 / 069 Lite 11-Jan-2019 04:38:21 5 6 -60 4 32619 4388.5267 80.2474
18 RS_20190111_034633_raw01 / 070 Lite 11-Jan-2019 04:38:29 5 6 -60 4 32838 4388.8088 80.2399
18 RS_20190111_034633_raw01 / 071 Lite 11-Jan-2019 04:38:36 5 6 -60 4 32709 4389.2881 80.2351
18 RS_20190111_034633_raw01 / 072 Lite 11-Jan-2019 04:38:44 5 6 -60 4 32709 4389.3413 80.2022
18 RS_20190111_034633_raw01 / 071 Dark 11-Jan-2019 04:39:02 5 6 -60 4 3725 3681.9674 0.21071
18 RS_20190111_034633_raw01 / 072 Dark 11-Jan-2019 04:39:09 5 6 -60 4 3727 3682.0162 0.21104
19 RS_20190111_034633_raw01 / 073 Dark 11-Jan-2019 04:39:43 5 6 -60 4 4945 3681.1187 0.21872
19 RS_20190111_034633_raw01 / 074 Dark 11-Jan-2019 04:39:51 5 6 -60 4 3740 3681.5256 0.21062
19 RS_20190111_034633_raw01 / 073 Lite 11-Jan-2019 04:40:09 5 6 -60 4 32753 4389.0961 80.2423
19 RS_20190111_034633_raw01 / 074 Lite 11-Jan-2019 04:40:16 5 6 -60 4 33063 4389.0668 80.2338
19 RS_20190111_034633_raw01 / 075 Lite 11-Jan-2019 04:40:24 5 6 -60 4 32710 4389.6911 80.2429
19 RS_20190111_034633_raw01 / 076 Lite 11-Jan-2019 04:40:31 5 6 -60 4 32632 4389.4287 80.1954
19 RS_20190111_034633_raw01 / 075 Dark 11-Jan-2019 04:40:49 5 6 -60 4 4926 3682.3123 0.21845
19 RS_20190111_034633_raw01 / 076 Dark 11-Jan-2019 04:40:57 5 6 -60 4 3732 3682.1322 0.21095
20 RS_20190111_034633_raw01 / 077 Dark 11-Jan-2019 04:41:36 5 6 -60 4 3723 3680.8193 0.21093
20 RS_20190111_034633_raw01 / 078 Dark 11-Jan-2019 04:41:44 5 6 -60 4 3723 3681.1957 0.21084
20 RS_20190111_034633_raw01 / 077 Lite 11-Jan-2019 04:42:02 5 6 -60 4 32560 4389.0641 80.2586
20 RS_20190111_034633_raw01 / 078 Lite 11-Jan-2019 04:42:09 5 6 -60 4 32721 4389.2646 80.2551
20 RS_20190111_034633_raw01 / 079 Lite 11-Jan-2019 04:42:17 5 6 -60 4 32582 4389.5966 80.2501
20 RS_20190111_034633_raw01 / 080 Lite 11-Jan-2019 04:42:25 5 6 -60 4 32800 4389.4113 80.2112
20 RS_20190111_034633_raw01 / 079 Dark 11-Jan-2019 04:42:42 5 6 -60 4 3733 3682.1766 0.21098
20 RS_20190111_034633_raw01 / 080 Dark 11-Jan-2019 04:42:50 5 6 -60 4 3744 3682.0245 0.21098
21 RS_20190111_034633_raw01 / 081 Dark 11-Jan-2019 04:43:28 5 6 -60 4 3722 3681.0364 0.2113
21 RS_20190111_034633_raw01 / 082 Dark 11-Jan-2019 04:43:35 5 6 -60 4 3743 3681.3435 0.21101
21 RS_20190111_034633_raw01 / 081 Lite 11-Jan-2019 04:43:53 5 6 -60 4 32612 4389.1565 80.2328
21 RS_20190111_034633_raw01 / 082 Lite 11-Jan-2019 04:44:01 5 6 -60 4 32605 4389.4114 80.2553
21 RS_20190111_034633_raw01 / 083 Lite 11-Jan-2019 04:44:09 5 6 -60 4 32650 4389.7533 80.2505
21 RS_20190111_034633_raw01 / 084 Lite 11-Jan-2019 04:44:16 5 6 -60 4 32620 4389.6945 80.2138
21 RS_20190111_034633_raw01 / 083 Dark 11-Jan-2019 04:44:34 5 6 -60 4 3748 3682.3268 0.21109
21 RS_20190111_034633_raw01 / 084 Dark 11-Jan-2019 04:44:42 5 6 -60 4 3732 3682.1682 0.21107
Grouped Image file: RS_20190111_N001_grouped.html
Grouped Image file: RS_20190111_N002_grouped.html
Grouped Image file: RS_20190111_N003_grouped.html
Grouped Image file: RS_20190111_N005_grouped.html
Grouped Image file: RS_20190111_N006_grouped.html
Grouped Image file: RS_20190111_N007_grouped.html
Grouped Image file: RS_20190111_N009_grouped.html
Grouped Image file: RS_20190111_N020_grouped.html
Grouped Image file: RS_20190111_N022_grouped.html
image

Figure 1A: Mikes Lamp monitoring log files. One shows the whole data set and one shows only the data with FITS files. black * is the number from Mikes logsheet.

image

Figure 2A:


Graphs below are of the Nets for a dataset. A dataset is a group of dark-lite-dark files that Mike says in his logsheet are collected together. One net = darks before and after averaged then , lights averaged, then avg_lite-avg_dark and the avg_net divided by intergration time for each track.
image

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

image

Figure 2B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 3B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 4B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 5B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 6B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 7B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 8B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 9B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 10B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 11B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 12B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 13B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 14B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 15B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 16B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 17B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 18B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 19B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 20B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 21B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.

image

Figure 22B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.


pwd: E:\zflora\mldata2\mobyrefresh\characterization\Hawaii-2019-01\RS4cal
Date: 28-Jan-2019 12:47:47
Created from mkhtml2_(1)