BS_20190118_014002_raw01 - Day 7

REVISION DATE: 28-Jan-2019 10:43:57

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_20190118_014002_raw01 / 001 Dark 18-Jan-2019 01:40:02 15 9 -60 4 4063 3996.4248 0.21801
1 BS_20190118_014002_raw01 / 002 Dark 18-Jan-2019 01:40:19 15 9 -60 4 8289 4004.3443 0.2952
1 BS_20190118_014002_raw01 / 001 Lite 18-Jan-2019 01:40:40 15 9 -60 4 33062 4584.8149 66.5077
1 BS_20190118_014002_raw01 / 002 Lite 18-Jan-2019 01:40:58 15 9 -60 4 32957 4587.2064 66.4923
1 BS_20190118_014002_raw01 / 003 Lite 18-Jan-2019 01:41:15 15 9 -60 4 33241 4588.017 66.4811
1 BS_20190118_014002_raw01 / 004 Lite 18-Jan-2019 01:41:33 15 9 -60 4 33050 4588.5175 66.4793
1 BS_20190118_014002_raw01 / 003 Dark 18-Jan-2019 01:41:54 15 9 -60 4 4072 4009.4944 0.22116
1 BS_20190118_014002_raw01 / 004 Dark 18-Jan-2019 01:42:11 15 9 -60 4 4068 4010.0203 0.22157
2 BS_20190118_014002_raw01 / 005 Dark 18-Jan-2019 01:42:55 15 9 -60 4 4064 4004.1848 0.22862
2 BS_20190118_014002_raw01 / 006 Dark 18-Jan-2019 01:43:12 15 9 -60 4 6562 4008.4709 0.2361
2 BS_20190118_014002_raw01 / 005 Lite 18-Jan-2019 01:43:33 15 9 -60 4 33014 4587.2136 66.4872
2 BS_20190118_014002_raw01 / 006 Lite 18-Jan-2019 01:43:51 15 9 -60 4 33226 4588.3011 66.4849
2 BS_20190118_014002_raw01 / 007 Lite 18-Jan-2019 01:44:08 15 9 -60 4 33130 4588.6777 66.486
2 BS_20190118_014002_raw01 / 008 Lite 18-Jan-2019 01:44:26 15 9 -60 4 33258 4589.0253 66.4763
2 BS_20190118_014002_raw01 / 007 Dark 18-Jan-2019 01:44:47 15 9 -60 4 4078 4009.7958 0.22165
2 BS_20190118_014002_raw01 / 008 Dark 18-Jan-2019 01:45:04 15 9 -60 4 5027 4010.2428 0.22642
3 BS_20190118_014002_raw01 / 009 Dark 18-Jan-2019 01:46:48 15 9 -60 4 4065 3997.9157 0.21881
3 BS_20190118_014002_raw01 / 010 Dark 18-Jan-2019 01:47:05 15 9 -60 4 4077 4005.1364 0.22848
3 BS_20190118_014002_raw01 / 009 Lite 18-Jan-2019 01:47:26 15 9 -60 4 32996 4585.4625 66.5136
3 BS_20190118_014002_raw01 / 010 Lite 18-Jan-2019 01:47:44 15 9 -60 4 33073 4587.886 66.4805
3 BS_20190118_014002_raw01 / 011 Lite 18-Jan-2019 01:48:01 15 9 -60 4 33034 4588.7233 66.4815
3 BS_20190118_014002_raw01 / 012 Lite 18-Jan-2019 01:48:19 15 9 -60 4 33093 4589.0685 66.4759
3 BS_20190118_014002_raw01 / 011 Dark 18-Jan-2019 01:48:40 15 9 -60 4 12684 4010.103 0.34209
3 BS_20190118_014002_raw01 / 012 Dark 18-Jan-2019 01:48:57 15 9 -60 4 6588 4010.3837 0.25846
4 BS_20190118_014002_raw01 / 013 Dark 18-Jan-2019 01:49:28 15 9 -60 4 4079 4007.561 0.22338
4 BS_20190118_014002_raw01 / 014 Dark 18-Jan-2019 01:49:46 15 9 -60 4 4071 4009.7029 0.22096
4 BS_20190118_014002_raw01 / 013 Lite 18-Jan-2019 01:50:07 15 9 -60 4 33412 4588.0295 66.4774
4 BS_20190118_014002_raw01 / 014 Lite 18-Jan-2019 01:50:24 15 9 -60 4 33069 4589.144 66.4767
4 BS_20190118_014002_raw01 / 015 Lite 18-Jan-2019 01:50:42 15 9 -60 4 33201 4589.685 66.4795
4 BS_20190118_014002_raw01 / 016 Lite 18-Jan-2019 01:51:00 15 9 -60 4 33080 4589.8266 66.4775
4 BS_20190118_014002_raw01 / 015 Dark 18-Jan-2019 01:51:20 15 9 -60 4 4081 4010.417 0.22117
4 BS_20190118_014002_raw01 / 016 Dark 18-Jan-2019 01:51:38 15 9 -60 4 7146 4010.8674 0.26167
5 BS_20190118_014002_raw01 / 017 Dark 18-Jan-2019 01:52:18 15 9 -60 4 4069 4004.9033 0.2289
5 BS_20190118_014002_raw01 / 018 Dark 18-Jan-2019 01:52:36 15 9 -60 4 7802 4009.21 0.24805
5 BS_20190118_014002_raw01 / 017 Lite 18-Jan-2019 01:52:57 15 9 -60 4 33158 4587.8093 66.4913
5 BS_20190118_014002_raw01 / 018 Lite 18-Jan-2019 01:53:14 15 9 -60 4 33275 4589.1288 66.4849
5 BS_20190118_014002_raw01 / 019 Lite 18-Jan-2019 01:53:32 15 9 -60 4 32937 4589.5258 66.4792
5 BS_20190118_014002_raw01 / 020 Lite 18-Jan-2019 01:53:50 15 9 -60 4 33062 4589.9814 66.4762
5 BS_20190118_014002_raw01 / 019 Dark 18-Jan-2019 01:54:10 15 9 -60 4 4806 4010.6727 0.22309
5 BS_20190118_014002_raw01 / 020 Dark 18-Jan-2019 01:54:28 15 9 -60 4 4065 4011.0743 0.22118
6 BS_20190118_014002_raw01 / 021 Dark 18-Jan-2019 02:03:55 15 9 -60 4 4064 3999.8491 0.21771
6 BS_20190118_014002_raw01 / 022 Dark 18-Jan-2019 02:04:12 15 9 -60 4 5350 4005.3098 0.22937
6 BS_20190118_014002_raw01 / 021 Lite 18-Jan-2019 02:04:33 15 9 -60 4 23326 4395.1102 46.2151
6 BS_20190118_014002_raw01 / 022 Lite 18-Jan-2019 02:04:51 15 9 -60 4 23131 4397.8224 46.1933
6 BS_20190118_014002_raw01 / 023 Lite 18-Jan-2019 02:05:08 15 9 -60 4 23251 4399.0133 46.1774
6 BS_20190118_014002_raw01 / 024 Lite 18-Jan-2019 02:05:26 15 9 -60 4 23270 4399.5815 46.1807
6 BS_20190118_014002_raw01 / 023 Dark 18-Jan-2019 02:05:47 15 9 -60 4 4079 4011.0302 0.22196
6 BS_20190118_014002_raw01 / 024 Dark 18-Jan-2019 02:06:05 15 9 -60 4 4072 4011.5727 0.22125
7 BS_20190118_014002_raw01 / 025 Dark 18-Jan-2019 02:06:34 15 9 -60 4 4067 4007.8267 0.2278
7 BS_20190118_014002_raw01 / 026 Dark 18-Jan-2019 02:06:51 15 9 -60 4 5663 4010.5503 0.23892
7 BS_20190118_014002_raw01 / 025 Lite 18-Jan-2019 02:07:12 15 9 -60 4 23336 4397.9101 46.1802
7 BS_20190118_014002_raw01 / 026 Lite 18-Jan-2019 02:07:30 15 9 -60 4 23232 4399.0258 46.172
7 BS_20190118_014002_raw01 / 027 Lite 18-Jan-2019 02:07:47 15 9 -60 4 23131 4399.5783 46.162
7 BS_20190118_014002_raw01 / 028 Lite 18-Jan-2019 02:08:05 15 9 -60 4 23301 4399.8706 46.1641
7 BS_20190118_014002_raw01 / 027 Dark 18-Jan-2019 02:08:26 15 9 -60 4 4095 4011.1968 0.22162
7 BS_20190118_014002_raw01 / 028 Dark 18-Jan-2019 02:08:44 15 9 -60 4 4075 4011.7062 0.22168
8 BS_20190118_014002_raw01 / 029 Dark 18-Jan-2019 02:09:18 15 9 -60 4 5137 4006.207 0.23132
8 BS_20190118_014002_raw01 / 030 Dark 18-Jan-2019 02:09:35 15 9 -60 4 4071 4009.9041 0.22563
8 BS_20190118_014002_raw01 / 029 Lite 18-Jan-2019 02:09:56 15 9 -60 4 23399 4397.4674 46.178
8 BS_20190118_014002_raw01 / 030 Lite 18-Jan-2019 02:10:14 15 9 -60 4 23342 4398.7742 46.168
8 BS_20190118_014002_raw01 / 031 Lite 18-Jan-2019 02:10:31 15 9 -60 4 23328 4399.4837 46.1569
8 BS_20190118_014002_raw01 / 032 Lite 18-Jan-2019 02:10:49 15 9 -60 4 23353 4399.8266 46.1595
8 BS_20190118_014002_raw01 / 031 Dark 18-Jan-2019 02:11:10 15 9 -60 4 4064 4011.2508 0.22257
8 BS_20190118_014002_raw01 / 032 Dark 18-Jan-2019 02:11:27 15 9 -60 4 6745 4011.866 0.23579
9 BS_20190118_014002_raw01 / 033 Dark 18-Jan-2019 02:12:18 15 9 -60 4 4070 4002.2151 0.22075
9 BS_20190118_014002_raw01 / 034 Dark 18-Jan-2019 02:12:36 15 9 -60 4 4082 4007.3878 0.22894
9 BS_20190118_014002_raw01 / 033 Lite 18-Jan-2019 02:12:56 15 9 -60 4 23142 4395.806 46.1759
9 BS_20190118_014002_raw01 / 034 Lite 18-Jan-2019 02:13:14 15 9 -60 4 23427 4398.1308 46.1602
9 BS_20190118_014002_raw01 / 035 Lite 18-Jan-2019 02:13:32 15 9 -60 4 23217 4399.2305 46.152
9 BS_20190118_014002_raw01 / 036 Lite 18-Jan-2019 02:13:49 15 9 -60 4 23254 4399.685 46.147
9 BS_20190118_014002_raw01 / 035 Dark 18-Jan-2019 02:14:10 15 9 -60 4 4079 4011.3504 0.22306
9 BS_20190118_014002_raw01 / 036 Dark 18-Jan-2019 02:14:28 15 9 -60 4 5177 4012.0498 0.22751
10 BS_20190118_014002_raw01 / 037 Dark 18-Jan-2019 02:18:24 15 9 -60 4 4059 3998.1251 0.21718
10 BS_20190118_014002_raw01 / 038 Dark 18-Jan-2019 02:18:42 15 9 -60 4 4073 4003.7735 0.21825
10 BS_20190118_014002_raw01 / 037 Lite 18-Jan-2019 02:19:02 15 9 -60 4 23099 4392.8103 46.1031
10 BS_20190118_014002_raw01 / 038 Lite 18-Jan-2019 02:19:20 15 9 -60 4 23241 4395.6362 46.074
10 BS_20190118_014002_raw01 / 039 Lite 18-Jan-2019 02:19:38 15 9 -60 4 23317 4397.3656 46.058
10 BS_20190118_014002_raw01 / 040 Lite 18-Jan-2019 02:19:55 15 9 -60 4 23221 4398.3556 46.0473
10 BS_20190118_014002_raw01 / 039 Dark 18-Jan-2019 02:20:16 15 9 -60 4 5670 4011.3914 0.23467
10 BS_20190118_014002_raw01 / 040 Dark 18-Jan-2019 02:20:34 15 9 -60 4 4974 4012.3963 0.23271
11 BS_20190118_014002_raw01 / 041 Dark 18-Jan-2019 02:21:04 15 9 -60 4 4078 4007.2322 0.22728
11 BS_20190118_014002_raw01 / 042 Dark 18-Jan-2019 02:21:21 15 9 -60 4 5108 4010.6142 0.23044
11 BS_20190118_014002_raw01 / 041 Lite 18-Jan-2019 02:21:42 15 9 -60 4 23137 4396.5753 46.0639
11 BS_20190118_014002_raw01 / 042 Lite 18-Jan-2019 02:22:00 15 9 -60 4 23100 4398.0951 46.0506
11 BS_20190118_014002_raw01 / 043 Lite 18-Jan-2019 02:22:18 15 9 -60 4 23207 4398.7831 46.0519
11 BS_20190118_014002_raw01 / 044 Lite 18-Jan-2019 02:22:35 15 9 -60 4 23209 4399.3196 46.0456
11 BS_20190118_014002_raw01 / 043 Dark 18-Jan-2019 02:22:56 15 9 -60 4 4065 4011.7296 0.22432
11 BS_20190118_014002_raw01 / 044 Dark 18-Jan-2019 02:23:14 15 9 -60 4 4071 4012.4339 0.22296
12 BS_20190118_014002_raw01 / 045 Dark 18-Jan-2019 02:24:07 15 9 -60 4 4080 4002.176 0.21812
12 BS_20190118_014002_raw01 / 046 Dark 18-Jan-2019 02:24:24 15 9 -60 4 5076 4007.123 0.22896
12 BS_20190118_014002_raw01 / 045 Lite 18-Jan-2019 02:24:45 15 9 -60 4 23171 4394.8049 46.0924
12 BS_20190118_014002_raw01 / 046 Lite 18-Jan-2019 02:25:03 15 9 -60 4 23138 4397.1261 46.0634
12 BS_20190118_014002_raw01 / 047 Lite 18-Jan-2019 02:25:20 15 9 -60 4 23275 4398.3448 46.0485
12 BS_20190118_014002_raw01 / 048 Lite 18-Jan-2019 02:25:38 15 9 -60 4 23174 4398.9718 46.05
12 BS_20190118_014002_raw01 / 047 Dark 18-Jan-2019 02:25:59 15 9 -60 4 6242 4011.5595 0.23999
12 BS_20190118_014002_raw01 / 048 Dark 18-Jan-2019 02:26:16 15 9 -60 4 4067 4012.3534 0.22347
13 BS_20190118_014002_raw01 / 049 Dark 18-Jan-2019 02:27:17 15 9 -60 4 5034 4001.5106 0.22011
13 BS_20190118_014002_raw01 / 050 Dark 18-Jan-2019 02:27:34 15 9 -60 4 4071 4006.2285 0.22449
13 BS_20190118_014002_raw01 / 049 Lite 18-Jan-2019 02:27:55 15 9 -60 4 23218 4394.4312 46.0873
13 BS_20190118_014002_raw01 / 050 Lite 18-Jan-2019 02:28:13 15 9 -60 4 23237 4396.6805 46.0708
13 BS_20190118_014002_raw01 / 051 Lite 18-Jan-2019 02:28:30 15 9 -60 4 23091 4398.1286 46.0584
13 BS_20190118_014002_raw01 / 052 Lite 18-Jan-2019 02:28:48 15 9 -60 4 23217 4398.9095 46.0548
13 BS_20190118_014002_raw01 / 051 Dark 18-Jan-2019 02:29:09 15 9 -60 4 4082 4011.5266 0.22648
13 BS_20190118_014002_raw01 / 052 Dark 18-Jan-2019 02:29:26 15 9 -60 4 4072 4012.4196 0.22458
14 BS_20190118_014002_raw01 / 053 Dark 18-Jan-2019 02:32:27 15 9 -60 4 4057 3998.6485 0.21769
14 BS_20190118_014002_raw01 / 054 Dark 18-Jan-2019 02:32:44 15 9 -60 4 4083 4004.1111 0.21723
14 BS_20190118_014002_raw01 / 053 Lite 18-Jan-2019 02:33:05 15 9 -60 4 23212 4393.1314 46.138
14 BS_20190118_014002_raw01 / 054 Lite 18-Jan-2019 02:33:23 15 9 -60 4 23152 4395.8122 46.1129
14 BS_20190118_014002_raw01 / 055 Lite 18-Jan-2019 02:33:41 15 9 -60 4 23320 4397.5809 46.093
14 BS_20190118_014002_raw01 / 056 Lite 18-Jan-2019 02:33:58 15 9 -60 4 23192 4398.8003 46.0883
14 BS_20190118_014002_raw01 / 055 Dark 18-Jan-2019 02:34:19 15 9 -60 4 4074 4011.0254 0.22785
14 BS_20190118_014002_raw01 / 056 Dark 18-Jan-2019 02:34:37 15 9 -60 4 4806 4012.2632 0.22682
15 BS_20190118_014002_raw01 / 057 Dark 18-Jan-2019 02:35:27 15 9 -60 4 4921 4002.6449 0.21984
15 BS_20190118_014002_raw01 / 058 Dark 18-Jan-2019 02:35:44 15 9 -60 4 5311 4007.1566 0.23087
15 BS_20190118_014002_raw01 / 057 Lite 18-Jan-2019 02:36:05 15 9 -60 4 23346 4395.1472 46.1167
15 BS_20190118_014002_raw01 / 058 Lite 18-Jan-2019 02:36:23 15 9 -60 4 23398 4397.1905 46.0981
15 BS_20190118_014002_raw01 / 059 Lite 18-Jan-2019 02:36:40 15 9 -60 4 23219 4398.6707 46.0912
15 BS_20190118_014002_raw01 / 060 Lite 18-Jan-2019 02:36:58 15 9 -60 4 23272 4399.1399 46.0849
15 BS_20190118_014002_raw01 / 059 Dark 18-Jan-2019 02:37:19 15 9 -60 4 4080 4011.2988 0.22777
15 BS_20190118_014002_raw01 / 060 Dark 18-Jan-2019 02:37:36 15 9 -60 4 4061 4012.2472 0.22618
16 BS_20190118_014002_raw01 / 061 Dark 18-Jan-2019 02:38:09 15 9 -60 4 6639 4006.0382 0.246
16 BS_20190118_014002_raw01 / 062 Dark 18-Jan-2019 02:38:27 15 9 -60 4 4066 4009.4889 0.22824
16 BS_20190118_014002_raw01 / 061 Lite 18-Jan-2019 02:38:48 15 9 -60 4 23299 4396.438 46.1065
16 BS_20190118_014002_raw01 / 062 Lite 18-Jan-2019 02:39:05 15 9 -60 4 23363 4398.0295 46.0973
16 BS_20190118_014002_raw01 / 063 Lite 18-Jan-2019 02:39:23 15 9 -60 4 23238 4398.8433 46.0865
16 BS_20190118_014002_raw01 / 064 Lite 18-Jan-2019 02:39:40 15 9 -60 4 23375 4399.5208 46.0792
16 BS_20190118_014002_raw01 / 063 Dark 18-Jan-2019 02:40:01 15 9 -60 4 4090 4011.3098 0.22798
16 BS_20190118_014002_raw01 / 064 Dark 18-Jan-2019 02:40:19 15 9 -60 4 5706 4012.4439 0.23216
17 BS_20190118_014002_raw01 / 065 Dark 18-Jan-2019 02:40:50 15 9 -60 4 4074 4006.57 0.22482
17 BS_20190118_014002_raw01 / 066 Dark 18-Jan-2019 02:41:08 15 9 -60 4 5057 4010.0281 0.23148
17 BS_20190118_014002_raw01 / 065 Lite 18-Jan-2019 02:41:28 15 9 -60 4 23188 4396.536 46.1066
17 BS_20190118_014002_raw01 / 066 Lite 18-Jan-2019 02:41:46 15 9 -60 4 23287 4398.0692 46.0836
17 BS_20190118_014002_raw01 / 067 Lite 18-Jan-2019 02:42:04 15 9 -60 4 23253 4399.0599 46.0817
17 BS_20190118_014002_raw01 / 068 Lite 18-Jan-2019 02:42:21 15 9 -60 4 23294 4399.3412 46.0882
17 BS_20190118_014002_raw01 / 067 Dark 18-Jan-2019 02:42:42 15 9 -60 4 4089 4011.5123 0.22697
17 BS_20190118_014002_raw01 / 068 Dark 18-Jan-2019 02:43:00 15 9 -60 4 4084 4012.3191 0.22539
18 BS_20190118_014002_raw01 / 069 Dark 18-Jan-2019 02:52:53 15 9 -60 4 4053 3998.1658 0.21726
18 BS_20190118_014002_raw01 / 070 Dark 18-Jan-2019 02:53:11 15 9 -60 4 4069 4003.8387 0.21712
18 BS_20190118_014002_raw01 / 069 Lite 18-Jan-2019 02:53:31 15 9 -60 4 23058 4389.2853 45.728
18 BS_20190118_014002_raw01 / 070 Lite 18-Jan-2019 02:53:49 15 9 -60 4 23014 4391.8508 45.7086
18 BS_20190118_014002_raw01 / 071 Lite 18-Jan-2019 02:54:07 15 9 -60 4 23029 4393.7907 45.6992
18 BS_20190118_014002_raw01 / 072 Lite 18-Jan-2019 02:54:24 15 9 -60 4 23031 4394.7081 45.6862
18 BS_20190118_014002_raw01 / 071 Dark 18-Jan-2019 02:54:45 15 9 -60 4 4082 4010.7498 0.22796
18 BS_20190118_014002_raw01 / 072 Dark 18-Jan-2019 02:55:03 15 9 -60 4 4080 4011.9724 0.22665
19 BS_20190118_014002_raw01 / 073 Dark 18-Jan-2019 02:55:33 15 9 -60 4 5265 4006.5752 0.23259
19 BS_20190118_014002_raw01 / 074 Dark 18-Jan-2019 02:55:50 15 9 -60 4 4074 4009.8921 0.22835
19 BS_20190118_014002_raw01 / 073 Lite 18-Jan-2019 02:56:11 15 9 -60 4 23094 4392.7881 45.7075
19 BS_20190118_014002_raw01 / 074 Lite 18-Jan-2019 02:56:29 15 9 -60 4 23055 4394.4545 45.694
19 BS_20190118_014002_raw01 / 075 Lite 18-Jan-2019 02:56:46 15 9 -60 4 23020 4395.1848 45.6861
19 BS_20190118_014002_raw01 / 076 Lite 18-Jan-2019 02:57:04 15 9 -60 4 22990 4395.7897 45.6826
19 BS_20190118_014002_raw01 / 075 Dark 18-Jan-2019 02:57:25 15 9 -60 4 4224 4011.4022 0.22711
19 BS_20190118_014002_raw01 / 076 Dark 18-Jan-2019 02:57:43 15 9 -60 4 8280 4012.3995 0.26874
20 BS_20190118_014002_raw01 / 077 Dark 18-Jan-2019 02:58:26 15 9 -60 4 4061 4003.5304 0.21824
20 BS_20190118_014002_raw01 / 078 Dark 18-Jan-2019 02:58:44 15 9 -60 4 5384 4007.6383 0.22973
20 BS_20190118_014002_raw01 / 077 Lite 18-Jan-2019 02:59:04 15 9 -60 4 23193 4391.8527 45.7197
20 BS_20190118_014002_raw01 / 078 Lite 18-Jan-2019 02:59:22 15 9 -60 4 23000 4393.855 45.7017
20 BS_20190118_014002_raw01 / 079 Lite 18-Jan-2019 02:59:40 15 9 -60 4 23178 4394.9135 45.6931
20 BS_20190118_014002_raw01 / 080 Lite 18-Jan-2019 02:59:57 15 9 -60 4 23031 4395.5533 45.6909
20 BS_20190118_014002_raw01 / 079 Dark 18-Jan-2019 03:00:18 15 9 -60 4 4075 4011.0584 0.22776
20 BS_20190118_014002_raw01 / 080 Dark 18-Jan-2019 03:00:36 15 9 -60 4 5867 4012.2602 0.23173
21 BS_20190118_014002_raw01 / 081 Dark 18-Jan-2019 03:01:20 15 9 -60 4 5234 4003.4614 0.22035
21 BS_20190118_014002_raw01 / 082 Dark 18-Jan-2019 03:01:38 15 9 -60 4 4078 4007.5472 0.22568
21 BS_20190118_014002_raw01 / 081 Lite 18-Jan-2019 03:01:59 15 9 -60 4 22971 4391.7513 45.7235
21 BS_20190118_014002_raw01 / 082 Lite 18-Jan-2019 03:02:16 15 9 -60 4 23087 4393.7302 45.7032
21 BS_20190118_014002_raw01 / 083 Lite 18-Jan-2019 03:02:34 15 9 -60 4 23147 4394.7541 45.6968
21 BS_20190118_014002_raw01 / 084 Lite 18-Jan-2019 03:02:51 15 9 -60 4 23108 4395.4653 45.6888
21 BS_20190118_014002_raw01 / 083 Dark 18-Jan-2019 03:03:12 15 9 -60 4 4589 4011.1004 0.22888
21 BS_20190118_014002_raw01 / 084 Dark 18-Jan-2019 03:03:30 15 9 -60 4 4075 4012.1825 0.22674
22 BS_20190118_014002_raw01 / 085 Dark 18-Jan-2019 03:08:26 15 9 -60 4 4102 3990.4462 0.23876
22 BS_20190118_014002_raw01 / 086 Dark 18-Jan-2019 03:08:44 15 9 -999 4 5842 3998.5689 0.37218
22 BS_20190118_014002_raw01 / 085 Lite 18-Jan-2019 03:09:05 15 9 -999 4 22701 4508.9565 43.5477
22 BS_20190118_014002_raw01 / 086 Lite 18-Jan-2019 03:09:23 15 9 -999 4 23120 4838.9281 40.4717
22 BS_20190118_014002_raw01 / 087 Lite 18-Jan-2019 03:09:40 15 9 -999 4 23593 5491.2164 35.7626
22 BS_20190118_014002_raw01 / 088 Lite 18-Jan-2019 03:09:58 15 9 -999 4 24924 6614.0349 30.0843
22 BS_20190118_014002_raw01 / 087 Dark 18-Jan-2019 03:10:19 15 9 -999 4 30359 8407.2658 6.8937
22 BS_20190118_014002_raw01 / 088 Dark 18-Jan-2019 03:10:36 15 9 -999 4 54538 11129.0939 8.1429
Grouped Image file: BS_20190118_N001_grouped.html
Grouped Image file: BS_20190118_N002_grouped.html
Grouped Image file: BS_20190118_N003_grouped.html
Grouped Image file: BS_20190118_N005_grouped.html
Grouped Image file: BS_20190118_N006_grouped.html
Grouped Image file: BS_20190118_N007_grouped.html
Grouped Image file: BS_20190118_N009_grouped.html
Grouped Image file: BS_20190118_N020_grouped.html
Grouped Image file: BS_20190118_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.
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Figure 1B: All the net data sets with a track illuminated. This shows ALL the net tracks with light on them.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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.

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Figure 23B: The net for one dataset (dark-lite-dark) for all tracks illuminated or not. This allows you to see the straylight on other tracks. The dataset number and fits files used to create this net are in the title of the figure.


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Date: 28-Jan-2019 10:44:15
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