BS_20190206_021354_raw01 - Day 9

REVISION DATE: 06-Feb-2019 12:53:39

Exerimental BS or RS data starting to put data into new Vaux setup.

Table caption: BS03 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 BS_20190206_021354_raw01 / 001 Dark 06-Feb-2019 02:13:54 15 9 -60 4 5952 3979.0862 0.2424
1 BS_20190206_021354_raw01 / 002 Dark 06-Feb-2019 02:14:12 15 9 -60 4 4043 3992.8045 0.22055
1 BS_20190206_021354_raw01 / 001 Lite 06-Feb-2019 02:14:33 15 9 -60 4 29384 4506.6156 59.372
1 BS_20190206_021354_raw01 / 002 Lite 06-Feb-2019 02:14:50 15 9 -60 4 29276 4508.7029 59.3493
1 BS_20190206_021354_raw01 / 003 Lite 06-Feb-2019 02:15:08 15 9 -60 4 29384 4509.6471 59.3361
1 BS_20190206_021354_raw01 / 004 Lite 06-Feb-2019 02:15:26 15 9 -60 4 29411 4510.224 59.3268
1 BS_20190206_021354_raw01 / 003 Dark 06-Feb-2019 02:15:46 15 9 -60 4 4065 4000.1575 0.23283
1 BS_20190206_021354_raw01 / 004 Dark 06-Feb-2019 02:16:04 15 9 -60 4 4058 4000.6615 0.23464
2 BS_20190206_021354_raw01 / 005 Dark 06-Feb-2019 02:18:55 15 9 -60 4 11354 3993.8683 0.35083
2 BS_20190206_021354_raw01 / 006 Dark 06-Feb-2019 02:19:13 15 9 -60 4 5842 3997.9323 0.23134
2 BS_20190206_021354_raw01 / 005 Lite 06-Feb-2019 02:19:34 15 9 -60 4 29143 4508.2709 59.2931
2 BS_20190206_021354_raw01 / 006 Lite 06-Feb-2019 02:19:52 15 9 -60 4 29128 4509.1869 59.2803
2 BS_20190206_021354_raw01 / 007 Lite 06-Feb-2019 02:20:09 15 9 -60 4 29217 4509.7945 59.2782
2 BS_20190206_021354_raw01 / 008 Lite 06-Feb-2019 02:20:27 15 9 -60 4 29416 4509.9736 59.2886
2 BS_20190206_021354_raw01 / 007 Dark 06-Feb-2019 02:20:48 15 9 -60 4 6504 4000.2682 0.24182
2 BS_20190206_021354_raw01 / 008 Dark 06-Feb-2019 02:21:05 15 9 -60 4 4066 4000.4837 0.23438
3 BS_20190206_021354_raw01 / 009 Dark 06-Feb-2019 02:34:09 15 9 -60 4 4072 3994.3662 0.22171
3 BS_20190206_021354_raw01 / 010 Dark 06-Feb-2019 02:34:27 15 9 -60 4 4072 3998.403 0.225
3 BS_20190206_021354_raw01 / 009 Lite 06-Feb-2019 02:34:48 15 9 -60 4 29128 4508.8085 59.2438
3 BS_20190206_021354_raw01 / 010 Lite 06-Feb-2019 02:35:05 15 9 -60 4 29286 4509.8369 59.2351
3 BS_20190206_021354_raw01 / 011 Lite 06-Feb-2019 02:35:23 15 9 -60 4 29216 4510.5438 59.2459
3 BS_20190206_021354_raw01 / 012 Lite 06-Feb-2019 02:35:40 15 9 -60 4 29209 4510.9293 59.2442
3 BS_20190206_021354_raw01 / 011 Dark 06-Feb-2019 02:36:01 15 9 -60 4 4060 4001.0531 0.22977
3 BS_20190206_021354_raw01 / 012 Dark 06-Feb-2019 02:36:19 15 9 -60 4 4054 4001.5236 0.23081
4 BS_20190206_021354_raw01 / 013 Dark 06-Feb-2019 02:36:57 15 9 -60 4 4063 3998.4684 0.22615
4 BS_20190206_021354_raw01 / 014 Dark 06-Feb-2019 02:37:14 15 9 -60 4 4063 4000.3116 0.2285
4 BS_20190206_021354_raw01 / 013 Lite 06-Feb-2019 02:37:35 15 9 -60 4 29205 4509.8222 59.2393
4 BS_20190206_021354_raw01 / 014 Lite 06-Feb-2019 02:37:53 15 9 -60 4 29227 4510.4637 59.2337
4 BS_20190206_021354_raw01 / 015 Lite 06-Feb-2019 02:38:11 15 9 -60 4 29316 4510.8387 59.2412
4 BS_20190206_021354_raw01 / 016 Lite 06-Feb-2019 02:38:28 15 9 -60 4 29485 4511.0328 59.243
4 BS_20190206_021354_raw01 / 015 Dark 06-Feb-2019 02:38:49 15 9 -60 4 4056 4001.1843 0.22991
4 BS_20190206_021354_raw01 / 016 Dark 06-Feb-2019 02:39:07 15 9 -60 4 5539 4001.6252 0.23779
5 BS_20190206_021354_raw01 / 017 Dark 06-Feb-2019 02:39:59 15 9 -60 4 4050 3997.3359 0.22425
5 BS_20190206_021354_raw01 / 018 Dark 06-Feb-2019 02:40:17 15 9 -60 4 4060 4000.0454 0.22715
5 BS_20190206_021354_raw01 / 017 Lite 06-Feb-2019 02:40:38 15 9 -60 4 29175 4509.7864 59.2431
5 BS_20190206_021354_raw01 / 018 Lite 06-Feb-2019 02:40:55 15 9 -60 4 29132 4510.5872 59.2421
5 BS_20190206_021354_raw01 / 019 Lite 06-Feb-2019 02:41:13 15 9 -60 4 29395 4511.141 59.2411
5 BS_20190206_021354_raw01 / 020 Lite 06-Feb-2019 02:41:30 15 9 -60 4 29216 4511.2975 59.2381
5 BS_20190206_021354_raw01 / 019 Dark 06-Feb-2019 02:41:51 15 9 -60 4 6340 4001.4393 0.25027
5 BS_20190206_021354_raw01 / 020 Dark 06-Feb-2019 02:42:09 15 9 -60 4 5353 4001.8063 0.23591
6 BS_20190206_021354_raw01 / 021 Dark 06-Feb-2019 02:42:37 15 9 -60 4 4732 4000.0361 0.22971
6 BS_20190206_021354_raw01 / 022 Dark 06-Feb-2019 02:42:55 15 9 -60 4 4071 4001.2945 0.22922
6 BS_20190206_021354_raw01 / 021 Lite 06-Feb-2019 02:43:16 15 9 -60 4 29315 4510.4911 59.2384
6 BS_20190206_021354_raw01 / 022 Lite 06-Feb-2019 02:43:33 15 9 -60 4 29433 4510.8607 59.2253
6 BS_20190206_021354_raw01 / 023 Lite 06-Feb-2019 02:43:51 15 9 -60 4 29190 4511.1884 59.2309
6 BS_20190206_021354_raw01 / 024 Lite 06-Feb-2019 02:44:09 15 9 -60 4 29226 4511.4908 59.2408
6 BS_20190206_021354_raw01 / 023 Dark 06-Feb-2019 02:44:30 15 9 -60 4 4074 4001.6141 0.22953
6 BS_20190206_021354_raw01 / 024 Dark 06-Feb-2019 02:44:47 15 9 -60 4 4086 4001.9198 0.23027
7 BS_20190206_021354_raw01 / 025 Dark 06-Feb-2019 03:05:13 15 9 -60 4 5191 3994.8904 0.23277
7 BS_20190206_021354_raw01 / 026 Dark 06-Feb-2019 03:05:30 15 9 -60 4 6528 4001.4369 0.22915
7 BS_20190206_021354_raw01 / 025 Lite 06-Feb-2019 03:05:51 15 9 -60 4 29539 4513.5244 59.385
7 BS_20190206_021354_raw01 / 026 Lite 06-Feb-2019 03:06:09 15 9 -60 4 29282 4514.8218 59.3879
7 BS_20190206_021354_raw01 / 027 Lite 06-Feb-2019 03:06:26 15 9 -60 4 29342 4515.4755 59.3973
7 BS_20190206_021354_raw01 / 028 Lite 06-Feb-2019 03:06:44 15 9 -60 4 29339 4515.8978 59.401
7 BS_20190206_021354_raw01 / 027 Dark 06-Feb-2019 03:07:05 15 9 -60 4 4059 4003.9796 0.22371
7 BS_20190206_021354_raw01 / 028 Dark 06-Feb-2019 03:07:22 15 9 -60 4 6271 4004.3133 0.23614
8 BS_20190206_021354_raw01 / 029 Dark 06-Feb-2019 03:07:57 15 9 -60 4 4067 4001.5363 0.22141
8 BS_20190206_021354_raw01 / 030 Dark 06-Feb-2019 03:08:14 15 9 -60 4 4060 4003.1499 0.22286
8 BS_20190206_021354_raw01 / 029 Lite 06-Feb-2019 03:08:35 15 9 -60 4 29300 4514.6474 59.3892
8 BS_20190206_021354_raw01 / 030 Lite 06-Feb-2019 03:08:53 15 9 -60 4 29405 4515.3462 59.3835
8 BS_20190206_021354_raw01 / 031 Lite 06-Feb-2019 03:09:10 15 9 -60 4 29324 4515.6161 59.3796
8 BS_20190206_021354_raw01 / 032 Lite 06-Feb-2019 03:09:28 15 9 -60 4 29347 4515.7721 59.3801
8 BS_20190206_021354_raw01 / 031 Dark 06-Feb-2019 03:09:49 15 9 -60 4 5196 4003.8076 0.22648
8 BS_20190206_021354_raw01 / 032 Dark 06-Feb-2019 03:10:07 15 9 -60 4 5000 4004.2494 0.22891
9 BS_20190206_021354_raw01 / 033 Dark 06-Feb-2019 03:10:39 15 9 -60 4 7001 4001.7038 0.24677
9 BS_20190206_021354_raw01 / 034 Dark 06-Feb-2019 03:10:57 15 9 -60 4 7401 4003.2591 0.24666
9 BS_20190206_021354_raw01 / 033 Lite 06-Feb-2019 03:11:18 15 9 -60 4 29253 4514.7064 59.4057
9 BS_20190206_021354_raw01 / 034 Lite 06-Feb-2019 03:11:35 15 9 -60 4 29399 4515.4296 59.3988
9 BS_20190206_021354_raw01 / 035 Lite 06-Feb-2019 03:11:53 15 9 -60 4 29380 4515.8597 59.3904
9 BS_20190206_021354_raw01 / 036 Lite 06-Feb-2019 03:12:11 15 9 -60 4 29398 4516.0002 59.3884
9 BS_20190206_021354_raw01 / 035 Dark 06-Feb-2019 03:12:31 15 9 -60 4 4062 4003.9226 0.22446
9 BS_20190206_021354_raw01 / 036 Dark 06-Feb-2019 03:12:49 15 9 -60 4 4068 4004.3955 0.22478
10 BS_20190206_021354_raw01 / 037 Dark 06-Feb-2019 03:13:22 15 9 -60 4 5890 4001.8125 0.22796
10 BS_20190206_021354_raw01 / 038 Dark 06-Feb-2019 03:13:39 15 9 -60 4 4060 4003.3768 0.2236
10 BS_20190206_021354_raw01 / 037 Lite 06-Feb-2019 03:14:00 15 9 -60 4 29486 4514.8407 59.3996
10 BS_20190206_021354_raw01 / 038 Lite 06-Feb-2019 03:14:18 15 9 -60 4 29290 4515.4749 59.3893
10 BS_20190206_021354_raw01 / 039 Lite 06-Feb-2019 03:14:35 15 9 -60 4 29623 4515.7799 59.3885
10 BS_20190206_021354_raw01 / 040 Lite 06-Feb-2019 03:14:53 15 9 -60 4 29366 4515.8726 59.3884
10 BS_20190206_021354_raw01 / 039 Dark 06-Feb-2019 03:15:14 15 9 -60 4 4078 4003.8332 0.22453
10 BS_20190206_021354_raw01 / 040 Dark 06-Feb-2019 03:15:31 15 9 -60 4 4071 4004.2069 0.22516
11 BS_20190206_021354_raw01 / 041 Dark 06-Feb-2019 03:22:16 15 9 -60 4 4058 3993.7332 0.22783
11 BS_20190206_021354_raw01 / 042 Dark 06-Feb-2019 03:22:34 15 9 -60 4 4861 4000.996 0.22263
11 BS_20190206_021354_raw01 / 041 Lite 06-Feb-2019 03:22:55 15 9 -60 4 29100 4512.4427 59.2965
11 BS_20190206_021354_raw01 / 042 Lite 06-Feb-2019 03:23:12 15 9 -60 4 29370 4513.6606 59.2847
11 BS_20190206_021354_raw01 / 043 Lite 06-Feb-2019 03:23:30 15 9 -60 4 29257 4514.2977 59.283
11 BS_20190206_021354_raw01 / 044 Lite 06-Feb-2019 03:23:47 15 9 -60 4 29270 4514.7679 59.2941
11 BS_20190206_021354_raw01 / 043 Dark 06-Feb-2019 03:24:08 15 9 -60 4 6909 4003.7757 0.24086
11 BS_20190206_021354_raw01 / 044 Dark 06-Feb-2019 03:24:26 15 9 -60 4 4057 4004.1604 0.22484
12 BS_20190206_021354_raw01 / 045 Dark 06-Feb-2019 03:25:20 15 9 -60 4 5473 3999.4583 0.22697
12 BS_20190206_021354_raw01 / 046 Dark 06-Feb-2019 03:25:38 15 9 -60 4 4063 4002.1675 0.2223
12 BS_20190206_021354_raw01 / 045 Lite 06-Feb-2019 03:25:58 15 9 -60 4 29297 4513.0019 59.2952
12 BS_20190206_021354_raw01 / 046 Lite 06-Feb-2019 03:26:16 15 9 -60 4 29661 4513.654 59.2862
12 BS_20190206_021354_raw01 / 047 Lite 06-Feb-2019 03:26:34 15 9 -60 4 29587 4514.2235 59.2864
12 BS_20190206_021354_raw01 / 048 Lite 06-Feb-2019 03:26:51 15 9 -60 4 29463 4514.6141 59.2858
12 BS_20190206_021354_raw01 / 047 Dark 06-Feb-2019 03:27:12 15 9 -60 4 4058 4003.5299 0.22458
12 BS_20190206_021354_raw01 / 048 Dark 06-Feb-2019 03:27:30 15 9 -60 4 6035 4004.0944 0.25729
13 BS_20190206_021354_raw01 / 049 Dark 06-Feb-2019 03:28:07 15 9 -60 4 4064 4001.0553 0.22184
13 BS_20190206_021354_raw01 / 050 Dark 06-Feb-2019 03:28:24 15 9 -60 4 4058 4002.9703 0.22327
13 BS_20190206_021354_raw01 / 049 Lite 06-Feb-2019 03:28:45 15 9 -60 4 29552 4513.4401 59.2896
13 BS_20190206_021354_raw01 / 050 Lite 06-Feb-2019 03:29:03 15 9 -60 4 29378 4514.1403 59.2845
13 BS_20190206_021354_raw01 / 051 Lite 06-Feb-2019 03:29:20 15 9 -60 4 29596 4514.5694 59.279
13 BS_20190206_021354_raw01 / 052 Lite 06-Feb-2019 03:29:38 15 9 -60 4 29179 4514.8855 59.2778
13 BS_20190206_021354_raw01 / 051 Dark 06-Feb-2019 03:29:59 15 9 -60 4 4062 4003.8577 0.22438
13 BS_20190206_021354_raw01 / 052 Dark 06-Feb-2019 03:30:16 15 9 -60 4 4066 4004.2322 0.22532
14 BS_20190206_021354_raw01 / 053 Dark 06-Feb-2019 03:30:58 15 9 -60 4 4055 4000.7649 0.22154
14 BS_20190206_021354_raw01 / 054 Dark 06-Feb-2019 03:31:15 15 9 -60 4 4073 4002.8838 0.22258
14 BS_20190206_021354_raw01 / 053 Lite 06-Feb-2019 03:31:36 15 9 -60 4 29327 4513.5346 59.2947
14 BS_20190206_021354_raw01 / 054 Lite 06-Feb-2019 03:31:54 15 9 -60 4 29435 4514.4845 59.291
14 BS_20190206_021354_raw01 / 055 Lite 06-Feb-2019 03:32:11 15 9 -60 4 29538 4514.8036 59.2903
14 BS_20190206_021354_raw01 / 056 Lite 06-Feb-2019 03:32:29 15 9 -60 4 29618 4514.9818 59.2916
14 BS_20190206_021354_raw01 / 055 Dark 06-Feb-2019 03:32:50 15 9 -60 4 4064 4003.7633 0.22422
14 BS_20190206_021354_raw01 / 056 Dark 06-Feb-2019 03:33:07 15 9 -60 4 4700 4004.3648 0.22764
15 BS_20190206_021354_raw01 / 057 Dark 06-Feb-2019 03:39:33 15 9 -60 4 4050 3993.4717 0.22713
15 BS_20190206_021354_raw01 / 058 Dark 06-Feb-2019 03:39:50 15 9 -60 4 10325 4000.8671 0.3018
15 BS_20190206_021354_raw01 / 057 Lite 06-Feb-2019 03:40:11 15 9 -60 4 29517 4513.22 59.4079
15 BS_20190206_021354_raw01 / 058 Lite 06-Feb-2019 03:40:29 15 9 -60 4 29310 4514.6395 59.3883
15 BS_20190206_021354_raw01 / 059 Lite 06-Feb-2019 03:40:47 15 9 -60 4 29170 4515.1017 59.3887
15 BS_20190206_021354_raw01 / 060 Lite 06-Feb-2019 03:41:04 15 9 -60 4 29320 4515.622 59.4037
15 BS_20190206_021354_raw01 / 059 Dark 06-Feb-2019 03:41:25 15 9 -60 4 4068 4003.4153 0.22315
15 BS_20190206_021354_raw01 / 060 Dark 06-Feb-2019 03:41:43 15 9 -60 4 4063 4003.9515 0.22452
16 BS_20190206_021354_raw01 / 061 Dark 06-Feb-2019 03:42:19 15 9 -60 4 5283 4000.8131 0.22638
16 BS_20190206_021354_raw01 / 062 Dark 06-Feb-2019 03:42:36 15 9 -60 4 6520 4002.7025 0.24064
16 BS_20190206_021354_raw01 / 061 Lite 06-Feb-2019 03:42:57 15 9 -60 4 29339 4514.3128 59.4044
16 BS_20190206_021354_raw01 / 062 Lite 06-Feb-2019 03:43:15 15 9 -60 4 29502 4515.1903 59.4134
16 BS_20190206_021354_raw01 / 063 Lite 06-Feb-2019 03:43:32 15 9 -60 4 29237 4515.237 59.4093
16 BS_20190206_021354_raw01 / 064 Lite 06-Feb-2019 03:43:50 15 9 -60 4 29446 4515.5303 59.4098
16 BS_20190206_021354_raw01 / 063 Dark 06-Feb-2019 03:44:11 15 9 -60 4 5505 4003.2045 0.23349
16 BS_20190206_021354_raw01 / 064 Dark 06-Feb-2019 03:44:29 15 9 -60 4 5738 4003.6396 0.23846
17 BS_20190206_021354_raw01 / 065 Dark 06-Feb-2019 03:45:05 15 9 -60 4 4066 4000.4691 0.22185
17 BS_20190206_021354_raw01 / 066 Dark 06-Feb-2019 03:45:23 15 9 -60 4 4082 4002.454 0.22342
17 BS_20190206_021354_raw01 / 065 Lite 06-Feb-2019 03:45:44 15 9 -60 4 29314 4514.1145 59.4245
17 BS_20190206_021354_raw01 / 066 Lite 06-Feb-2019 03:46:01 15 9 -60 4 29222 4514.6119 59.4169
17 BS_20190206_021354_raw01 / 067 Lite 06-Feb-2019 03:46:19 15 9 -60 4 29749 4515.1098 59.4242
17 BS_20190206_021354_raw01 / 068 Lite 06-Feb-2019 03:46:37 15 9 -60 4 29585 4515.3631 59.417
17 BS_20190206_021354_raw01 / 067 Dark 06-Feb-2019 03:46:57 15 9 -60 4 4070 4003.0839 0.22456
17 BS_20190206_021354_raw01 / 068 Dark 06-Feb-2019 03:47:15 15 9 -60 4 4067 4003.4782 0.22486
18 BS_20190206_021354_raw01 / 069 Dark 06-Feb-2019 03:47:43 15 9 -60 4 4067 4001.6148 0.22264
18 BS_20190206_021354_raw01 / 070 Dark 06-Feb-2019 03:48:01 15 9 -60 4 4076 4003.0259 0.22428
18 BS_20190206_021354_raw01 / 069 Lite 06-Feb-2019 03:48:21 15 9 -60 4 29332 4514.3569 59.421
18 BS_20190206_021354_raw01 / 070 Lite 06-Feb-2019 03:48:39 15 9 -60 4 29419 4514.8774 59.4176
18 BS_20190206_021354_raw01 / 071 Lite 06-Feb-2019 03:48:57 15 9 -60 4 29291 4515.13 59.4186
18 BS_20190206_021354_raw01 / 072 Lite 06-Feb-2019 03:49:14 15 9 -60 4 29399 4515.2641 59.4118
18 BS_20190206_021354_raw01 / 071 Dark 06-Feb-2019 03:49:35 15 9 -60 4 4967 4002.8309 0.22881
18 BS_20190206_021354_raw01 / 072 Dark 06-Feb-2019 03:49:53 15 9 -60 4 8718 4003.4427 0.2542
19 BS_20190206_021354_raw01 / 073 Dark 06-Feb-2019 03:56:20 15 9 -60 4 4064 3993.1568 0.22713
19 BS_20190206_021354_raw01 / 074 Dark 06-Feb-2019 03:56:38 15 9 -60 4 4070 4000.2469 0.21962
19 BS_20190206_021354_raw01 / 073 Lite 06-Feb-2019 03:56:59 15 9 -60 4 29286 4511.8611 59.3217
19 BS_20190206_021354_raw01 / 074 Lite 06-Feb-2019 03:57:16 15 9 -60 4 29352 4512.8835 59.3195
19 BS_20190206_021354_raw01 / 075 Lite 06-Feb-2019 03:57:34 15 9 -60 4 29218 4513.8642 59.3296
19 BS_20190206_021354_raw01 / 076 Lite 06-Feb-2019 03:57:52 15 9 -60 4 29475 4513.9405 59.3101
19 BS_20190206_021354_raw01 / 075 Dark 06-Feb-2019 03:58:12 15 9 -60 4 5223 4002.8107 0.22533
19 BS_20190206_021354_raw01 / 076 Dark 06-Feb-2019 03:58:30 15 9 -60 4 8467 4003.3681 0.26634
20 BS_20190206_021354_raw01 / 077 Dark 06-Feb-2019 03:59:01 15 9 -60 4 4072 4000.921 0.2209
20 BS_20190206_021354_raw01 / 078 Dark 06-Feb-2019 03:59:19 15 9 -60 4 4078 4002.4666 0.22266
20 BS_20190206_021354_raw01 / 077 Lite 06-Feb-2019 03:59:40 15 9 -60 4 29388 4512.7882 59.3012
20 BS_20190206_021354_raw01 / 078 Lite 06-Feb-2019 03:59:57 15 9 -60 4 29525 4513.5348 59.2951
20 BS_20190206_021354_raw01 / 079 Lite 06-Feb-2019 04:00:15 15 9 -60 4 29366 4513.9115 59.3066
20 BS_20190206_021354_raw01 / 080 Lite 06-Feb-2019 04:00:33 15 9 -60 4 29191 4514.129 59.3086
20 BS_20190206_021354_raw01 / 079 Dark 06-Feb-2019 04:00:54 15 9 -60 4 5691 4002.8372 0.22937
20 BS_20190206_021354_raw01 / 080 Dark 06-Feb-2019 04:01:11 15 9 -60 4 4065 4003.3875 0.22396
21 BS_20190206_021354_raw01 / 081 Dark 06-Feb-2019 04:01:42 15 9 -60 4 4058 4000.957 0.22117
21 BS_20190206_021354_raw01 / 082 Dark 06-Feb-2019 04:02:00 15 9 -60 4 5237 4002.2586 0.22589
21 BS_20190206_021354_raw01 / 081 Lite 06-Feb-2019 04:02:20 15 9 -60 4 29382 4512.7517 59.3137
21 BS_20190206_021354_raw01 / 082 Lite 06-Feb-2019 04:02:38 15 9 -60 4 29617 4513.3382 59.3028
21 BS_20190206_021354_raw01 / 083 Lite 06-Feb-2019 04:02:56 15 9 -60 4 29103 4513.6806 59.3109
21 BS_20190206_021354_raw01 / 084 Lite 06-Feb-2019 04:03:13 15 9 -60 4 29459 4513.8892 59.3088
21 BS_20190206_021354_raw01 / 083 Dark 06-Feb-2019 04:03:34 15 9 -60 4 4066 4002.6478 0.22369
21 BS_20190206_021354_raw01 / 084 Dark 06-Feb-2019 04:03:52 15 9 -60 4 4067 4003.164 0.22457
22 BS_20190206_021354_raw01 / 085 Dark 06-Feb-2019 04:04:28 15 9 -60 4 4079 4000.1038 0.22054
22 BS_20190206_021354_raw01 / 086 Dark 06-Feb-2019 04:04:46 15 9 -60 4 4061 4002.0051 0.22249
22 BS_20190206_021354_raw01 / 085 Lite 06-Feb-2019 04:05:07 15 9 -60 4 29311 4512.4593 59.3081
22 BS_20190206_021354_raw01 / 086 Lite 06-Feb-2019 04:05:24 15 9 -60 4 29462 4513.2383 59.3033
22 BS_20190206_021354_raw01 / 087 Lite 06-Feb-2019 04:05:42 15 9 -60 4 29189 4513.807 59.3138
22 BS_20190206_021354_raw01 / 088 Lite 06-Feb-2019 04:05:59 15 9 -60 4 29332 4513.9757 59.313
22 BS_20190206_021354_raw01 / 087 Dark 06-Feb-2019 04:06:20 15 9 -60 4 4064 4002.7004 0.22378
22 BS_20190206_021354_raw01 / 088 Dark 06-Feb-2019 04:06:38 15 9 -60 4 5101 4003.1078 0.23059
23 BS_20190206_021354_raw01 / 089 Dark 06-Feb-2019 04:13:49 15 9 -60 4 4061 3993.335 0.22766
23 BS_20190206_021354_raw01 / 090 Dark 06-Feb-2019 04:14:06 15 9 -60 4 4057 3999.5529 0.22021
23 BS_20190206_021354_raw01 / 089 Lite 06-Feb-2019 04:14:27 15 9 -60 4 29350 4512.1634 59.4366
23 BS_20190206_021354_raw01 / 090 Lite 06-Feb-2019 04:14:45 15 9 -60 4 29353 4513.4209 59.4329
23 BS_20190206_021354_raw01 / 091 Lite 06-Feb-2019 04:15:02 15 9 -60 4 29360 4514.1205 59.4369
23 BS_20190206_021354_raw01 / 092 Lite 06-Feb-2019 04:15:20 15 9 -60 4 29274 4514.4246 59.4329
23 BS_20190206_021354_raw01 / 091 Dark 06-Feb-2019 04:15:41 15 9 -60 4 4487 4002.1981 0.2254
23 BS_20190206_021354_raw01 / 092 Dark 06-Feb-2019 04:15:59 15 9 -60 4 4076 4002.5767 0.22541
24 BS_20190206_021354_raw01 / 093 Dark 06-Feb-2019 04:16:40 15 9 -60 4 5116 3998.8986 0.22815
24 BS_20190206_021354_raw01 / 094 Dark 06-Feb-2019 04:16:58 15 9 -60 4 5880 4000.9676 0.23062
24 BS_20190206_021354_raw01 / 093 Lite 06-Feb-2019 04:17:19 15 9 -60 4 29346 4512.8136 59.4341
24 BS_20190206_021354_raw01 / 094 Lite 06-Feb-2019 04:17:36 15 9 -60 4 29559 4513.5791 59.4207
24 BS_20190206_021354_raw01 / 095 Lite 06-Feb-2019 04:17:54 15 9 -60 4 29288 4514.0098 59.4239
24 BS_20190206_021354_raw01 / 096 Lite 06-Feb-2019 04:18:12 15 9 -60 4 29266 4514.0953 59.4194
24 BS_20190206_021354_raw01 / 095 Dark 06-Feb-2019 04:18:32 15 9 -60 4 5469 4001.8618 0.23165
24 BS_20190206_021354_raw01 / 096 Dark 06-Feb-2019 04:18:50 15 9 -60 4 5861 4002.2777 0.24694
25 BS_20190206_021354_raw01 / 097 Dark 06-Feb-2019 04:19:23 15 9 -60 4 4052 3999.7669 0.22283
25 BS_20190206_021354_raw01 / 098 Dark 06-Feb-2019 04:19:41 15 9 -60 4 4064 4001.4063 0.22422
25 BS_20190206_021354_raw01 / 097 Lite 06-Feb-2019 04:20:01 15 9 -60 4 29346 4513.072 59.4359
25 BS_20190206_021354_raw01 / 098 Lite 06-Feb-2019 04:20:19 15 9 -60 4 29314 4513.6942 59.4259
25 BS_20190206_021354_raw01 / 099 Lite 06-Feb-2019 04:20:37 15 9 -60 4 29595 4514.0553 59.4236
25 BS_20190206_021354_raw01 / 100 Lite 06-Feb-2019 04:20:54 15 9 -60 4 29209 4514.1566 59.4241
25 BS_20190206_021354_raw01 / 099 Dark 06-Feb-2019 04:21:15 15 9 -60 4 4071 4001.9856 0.22566
25 BS_20190206_021354_raw01 / 100 Dark 06-Feb-2019 04:21:33 15 9 -60 4 4067 4002.4016 0.2261
26 BS_20190206_021354_raw01 / 101 Dark 06-Feb-2019 04:22:01 15 9 -60 4 4054 4000.5069 0.22369
26 BS_20190206_021354_raw01 / 102 Dark 06-Feb-2019 04:22:18 15 9 -60 4 5503 4001.6138 0.22935
26 BS_20190206_021354_raw01 / 101 Lite 06-Feb-2019 04:22:39 15 9 -60 4 29570 4513.0224 59.4373
26 BS_20190206_021354_raw01 / 102 Lite 06-Feb-2019 04:22:57 15 9 -60 4 29415 4513.7235 59.4249
26 BS_20190206_021354_raw01 / 103 Lite 06-Feb-2019 04:23:15 15 9 -60 4 29496 4514.198 59.4371
26 BS_20190206_021354_raw01 / 104 Lite 06-Feb-2019 04:23:32 15 9 -60 4 29428 4514.4035 59.45
26 BS_20190206_021354_raw01 / 103 Dark 06-Feb-2019 04:23:53 15 9 -60 4 4073 4002.0115 0.22573
26 BS_20190206_021354_raw01 / 104 Dark 06-Feb-2019 04:24:11 15 9 -60 4 11905 4002.2178 0.32484
27 BS_20190206_021354_raw01 / 105 Dark 06-Feb-2019 04:29:50 15 9 -60 4 5088 3993.5084 0.22905
27 BS_20190206_021354_raw01 / 106 Dark 06-Feb-2019 04:30:08 15 9 -60 4 5575 3999.4153 0.22318
27 BS_20190206_021354_raw01 / 105 Lite 06-Feb-2019 04:30:29 15 9 -60 4 29296 4510.5751 59.2898
27 BS_20190206_021354_raw01 / 106 Lite 06-Feb-2019 04:30:46 15 9 -60 4 29285 4511.8058 59.2869
27 BS_20190206_021354_raw01 / 107 Lite 06-Feb-2019 04:31:04 15 9 -60 4 29460 4512.6281 59.2895
27 BS_20190206_021354_raw01 / 108 Lite 06-Feb-2019 04:31:22 15 9 -60 4 29297 4512.9987 59.2895
27 BS_20190206_021354_raw01 / 107 Dark 06-Feb-2019 04:31:42 15 9 -60 4 4077 4002.0338 0.22372
27 BS_20190206_021354_raw01 / 108 Dark 06-Feb-2019 04:32:00 15 9 -60 4 4070 4002.5458 0.22466
28 BS_20190206_021354_raw01 / 109 Dark 06-Feb-2019 04:32:35 15 9 -60 4 4051 3999.5494 0.22107
28 BS_20190206_021354_raw01 / 110 Dark 06-Feb-2019 04:32:52 15 9 -60 4 4065 4001.393 0.22285
28 BS_20190206_021354_raw01 / 109 Lite 06-Feb-2019 04:33:13 15 9 -60 4 29204 4511.4309 59.2744
28 BS_20190206_021354_raw01 / 110 Lite 06-Feb-2019 04:33:31 15 9 -60 4 29405 4512.1204 59.2614
28 BS_20190206_021354_raw01 / 111 Lite 06-Feb-2019 04:33:48 15 9 -60 4 29265 4512.671 59.2605
28 BS_20190206_021354_raw01 / 112 Lite 06-Feb-2019 04:34:06 15 9 -60 4 29230 4512.7453 59.2678
28 BS_20190206_021354_raw01 / 111 Dark 06-Feb-2019 04:34:27 15 9 -60 4 6205 4002.2455 0.25521
28 BS_20190206_021354_raw01 / 112 Dark 06-Feb-2019 04:34:45 15 9 -60 4 4914 4002.4533 0.22731
29 BS_20190206_021354_raw01 / 113 Dark 06-Feb-2019 04:35:13 15 9 -60 4 5330 4000.6754 0.22992
29 BS_20190206_021354_raw01 / 114 Dark 06-Feb-2019 04:35:30 15 9 -60 4 4070 4001.9438 0.22423
29 BS_20190206_021354_raw01 / 113 Lite 06-Feb-2019 04:35:51 15 9 -60 4 29591 4511.6128 59.2774
29 BS_20190206_021354_raw01 / 114 Lite 06-Feb-2019 04:36:09 15 9 -60 4 29344 4512.5107 59.2675
29 BS_20190206_021354_raw01 / 115 Lite 06-Feb-2019 04:36:26 15 9 -60 4 29349 4512.6648 59.282
29 BS_20190206_021354_raw01 / 116 Lite 06-Feb-2019 04:36:44 15 9 -60 4 29402 4512.8907 59.2912
29 BS_20190206_021354_raw01 / 115 Dark 06-Feb-2019 04:37:05 15 9 -60 4 5036 4002.1217 0.22658
29 BS_20190206_021354_raw01 / 116 Dark 06-Feb-2019 04:37:22 15 9 -60 4 5226 4002.4084 0.23409
30 BS_20190206_021354_raw01 / 117 Dark 06-Feb-2019 04:38:17 15 9 -60 4 5513 3997.6408 0.22443
30 BS_20190206_021354_raw01 / 118 Dark 06-Feb-2019 04:38:35 15 9 -60 4 6361 4000.3359 0.25077
30 BS_20190206_021354_raw01 / 117 Lite 06-Feb-2019 04:38:56 15 9 -60 4 29317 4510.9366 59.2978
30 BS_20190206_021354_raw01 / 118 Lite 06-Feb-2019 04:39:13 15 9 -60 4 29405 4511.8708 59.2865
30 BS_20190206_021354_raw01 / 119 Lite 06-Feb-2019 04:39:31 15 9 -60 4 29147 4512.4159 59.2889
30 BS_20190206_021354_raw01 / 120 Lite 06-Feb-2019 04:39:49 15 9 -60 4 29201 4512.6248 59.2931
30 BS_20190206_021354_raw01 / 119 Dark 06-Feb-2019 04:40:09 15 9 -60 4 4064 4001.8359 0.22523
30 BS_20190206_021354_raw01 / 120 Dark 06-Feb-2019 04:40:27 15 9 -60 4 10639 4002.2314 0.2873
Grouped Image file: BS_20190206_N001_grouped.html
Grouped Image file: BS_20190206_N002_grouped.html
Grouped Image file: BS_20190206_N003_grouped.html
Grouped Image file: BS_20190206_N005_grouped.html
Grouped Image file: BS_20190206_N006_grouped.html
Grouped Image file: BS_20190206_N007_grouped.html
Grouped Image file: BS_20190206_N009_grouped.html
Grouped Image file: BS_20190206_N020_grouped.html
Grouped Image file: BS_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\BS3cal
Date: 06-Feb-2019 12:53:47
Created from mkhtml2_(1)