BS_20190111_034624_raw01 - Day 2

REVISION DATE: 28-Jan-2019 10:39:12

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_20190111_034624_raw01 / 001 Dark 11-Jan-2019 03:46:24 5 6 -60 4 4026 3980.1912 0.21108
1 BS_20190111_034624_raw01 / 002 Dark 11-Jan-2019 03:46:32 5 6 -60 4 4028 3983.4686 0.21061
1 BS_20190111_034624_raw01 / 001 Lite 11-Jan-2019 03:46:43 5 6 -60 4 47183 4672.9791 82.9774
1 BS_20190111_034624_raw01 / 002 Lite 11-Jan-2019 03:46:51 5 6 -60 4 47127 4675.5307 82.9461
1 BS_20190111_034624_raw01 / 003 Lite 11-Jan-2019 03:46:58 5 6 -60 4 47175 4677.3618 82.933
1 BS_20190111_034624_raw01 / 004 Lite 11-Jan-2019 03:47:06 5 6 -60 4 46992 4678.6499 82.9228
1 BS_20190111_034624_raw01 / 003 Dark 11-Jan-2019 03:47:17 5 6 -60 4 4049 3990.2316 0.21655
1 BS_20190111_034624_raw01 / 004 Dark 11-Jan-2019 03:47:24 5 6 -60 4 4039 3992.1054 0.21994
2 BS_20190111_034624_raw01 / 005 Dark 11-Jan-2019 03:48:17 5 6 -60 4 4028 3982.5088 0.21143
2 BS_20190111_034624_raw01 / 006 Dark 11-Jan-2019 03:48:25 5 6 -60 4 5651 3985.6575 0.21712
2 BS_20190111_034624_raw01 / 005 Lite 11-Jan-2019 03:48:35 5 6 -60 4 47298 4675.036 82.9696
2 BS_20190111_034624_raw01 / 006 Lite 11-Jan-2019 03:48:43 5 6 -60 4 47325 4677.1829 82.9493
2 BS_20190111_034624_raw01 / 007 Lite 11-Jan-2019 03:48:51 5 6 -60 4 47289 4678.875 82.9348
2 BS_20190111_034624_raw01 / 008 Lite 11-Jan-2019 03:48:58 5 6 -60 4 47198 4680.038 82.9182
2 BS_20190111_034624_raw01 / 007 Dark 11-Jan-2019 03:49:09 5 6 -60 4 4043 3991.1189 0.21796
2 BS_20190111_034624_raw01 / 008 Dark 11-Jan-2019 03:49:17 5 6 -60 4 4046 3993.2814 0.22067
3 BS_20190111_034624_raw01 / 009 Dark 11-Jan-2019 03:50:03 5 6 -60 4 7393 3982.9852 0.2374
3 BS_20190111_034624_raw01 / 010 Dark 11-Jan-2019 03:50:11 5 6 -60 4 4034 3986.0183 0.21055
3 BS_20190111_034624_raw01 / 009 Lite 11-Jan-2019 03:50:21 5 6 -60 4 47295 4675.0458 82.9602
3 BS_20190111_034624_raw01 / 010 Lite 11-Jan-2019 03:50:29 5 6 -60 4 47220 4677.5024 82.944
3 BS_20190111_034624_raw01 / 011 Lite 11-Jan-2019 03:50:37 5 6 -60 4 47262 4678.9535 82.9272
3 BS_20190111_034624_raw01 / 012 Lite 11-Jan-2019 03:50:44 5 6 -60 4 47171 4680.1547 82.9065
3 BS_20190111_034624_raw01 / 011 Dark 11-Jan-2019 03:50:55 5 6 -60 4 4040 3991.2062 0.21892
3 BS_20190111_034624_raw01 / 012 Dark 11-Jan-2019 03:51:03 5 6 -60 4 8023 3993.2394 0.26422
4 BS_20190111_034624_raw01 / 013 Dark 11-Jan-2019 03:51:52 5 6 -60 4 4031 3982.8488 0.21085
4 BS_20190111_034624_raw01 / 014 Dark 11-Jan-2019 03:51:59 5 6 -60 4 4041 3985.7923 0.21039
4 BS_20190111_034624_raw01 / 013 Lite 11-Jan-2019 03:52:10 5 6 -60 4 47038 4675.0365 82.9649
4 BS_20190111_034624_raw01 / 014 Lite 11-Jan-2019 03:52:18 5 6 -60 4 47198 4677.2825 82.9487
4 BS_20190111_034624_raw01 / 015 Lite 11-Jan-2019 03:52:26 5 6 -60 4 47292 4678.9857 82.9384
4 BS_20190111_034624_raw01 / 016 Lite 11-Jan-2019 03:52:33 5 6 -60 4 47373 4680.2691 82.9199
4 BS_20190111_034624_raw01 / 015 Dark 11-Jan-2019 03:52:44 5 6 -60 4 7298 3991.2336 0.25492
4 BS_20190111_034624_raw01 / 016 Dark 11-Jan-2019 03:52:52 5 6 -60 4 4043 3993.1146 0.22117
5 BS_20190111_034624_raw01 / 017 Dark 11-Jan-2019 03:54:08 5 6 -60 4 4029 3981.2282 0.21161
5 BS_20190111_034624_raw01 / 018 Dark 11-Jan-2019 03:54:16 5 6 -60 4 8670 3984.6763 0.25039
5 BS_20190111_034624_raw01 / 017 Lite 11-Jan-2019 03:54:27 5 6 -60 4 47274 4674.0195 82.984
5 BS_20190111_034624_raw01 / 018 Lite 11-Jan-2019 03:54:34 5 6 -60 4 47521 4676.6082 82.9627
5 BS_20190111_034624_raw01 / 019 Lite 11-Jan-2019 03:54:42 5 6 -60 4 47176 4678.1701 82.9497
5 BS_20190111_034624_raw01 / 020 Lite 11-Jan-2019 03:54:49 5 6 -60 4 47222 4679.5082 82.9327
5 BS_20190111_034624_raw01 / 019 Dark 11-Jan-2019 03:55:00 5 6 -60 4 4043 3990.4122 0.21655
5 BS_20190111_034624_raw01 / 020 Dark 11-Jan-2019 03:55:08 5 6 -60 4 4040 3992.3267 0.21956
6 BS_20190111_034624_raw01 / 021 Dark 11-Jan-2019 04:06:41 5 6 -60 4 4029 3980.3978 0.21141
6 BS_20190111_034624_raw01 / 022 Dark 11-Jan-2019 04:06:49 5 6 -60 4 4027 3983.6694 0.21032
6 BS_20190111_034624_raw01 / 021 Lite 11-Jan-2019 04:06:59 5 6 -60 4 47308 4672.2514 82.8739
6 BS_20190111_034624_raw01 / 022 Lite 11-Jan-2019 04:07:07 5 6 -60 4 47148 4674.7079 82.849
6 BS_20190111_034624_raw01 / 023 Lite 11-Jan-2019 04:07:15 5 6 -60 4 47383 4676.5551 82.8293
6 BS_20190111_034624_raw01 / 024 Lite 11-Jan-2019 04:07:22 5 6 -60 4 47141 4677.8933 82.8248
6 BS_20190111_034624_raw01 / 023 Dark 11-Jan-2019 04:07:33 5 6 -60 4 5054 3989.7844 0.21535
6 BS_20190111_034624_raw01 / 024 Dark 11-Jan-2019 04:07:41 5 6 -60 4 4044 3991.5983 0.21699
7 BS_20190111_034624_raw01 / 025 Dark 11-Jan-2019 04:08:38 5 6 -60 4 4032 3982.2548 0.21105
7 BS_20190111_034624_raw01 / 026 Dark 11-Jan-2019 04:08:45 5 6 -60 4 4036 3985.4288 0.21068
7 BS_20190111_034624_raw01 / 025 Lite 11-Jan-2019 04:08:56 5 6 -60 4 47307 4673.5876 82.8536
7 BS_20190111_034624_raw01 / 026 Lite 11-Jan-2019 04:09:04 5 6 -60 4 47046 4675.9406 82.8281
7 BS_20190111_034624_raw01 / 027 Lite 11-Jan-2019 04:09:11 5 6 -60 4 47175 4677.3578 82.81
7 BS_20190111_034624_raw01 / 028 Lite 11-Jan-2019 04:09:19 5 6 -60 4 47321 4678.5635 82.8042
7 BS_20190111_034624_raw01 / 027 Dark 11-Jan-2019 04:09:30 5 6 -60 4 4043 3990.4581 0.21417
7 BS_20190111_034624_raw01 / 028 Dark 11-Jan-2019 04:09:38 5 6 -60 4 4042 3992.1594 0.21879
8 BS_20190111_034624_raw01 / 029 Dark 11-Jan-2019 04:10:23 5 6 -60 4 4031 3983.1977 0.21118
8 BS_20190111_034624_raw01 / 030 Dark 11-Jan-2019 04:10:30 5 6 -60 4 4034 3986.2886 0.21067
8 BS_20190111_034624_raw01 / 029 Lite 11-Jan-2019 04:10:41 5 6 -60 4 47296 4674.2052 82.8491
8 BS_20190111_034624_raw01 / 030 Lite 11-Jan-2019 04:10:49 5 6 -60 4 47490 4676.4274 82.8274
8 BS_20190111_034624_raw01 / 031 Lite 11-Jan-2019 04:10:56 5 6 -60 4 47251 4677.7351 82.8149
8 BS_20190111_034624_raw01 / 032 Lite 11-Jan-2019 04:11:04 5 6 -60 4 47045 4678.9813 82.8052
8 BS_20190111_034624_raw01 / 031 Dark 11-Jan-2019 04:11:15 5 6 -60 4 4048 3990.7561 0.2143
8 BS_20190111_034624_raw01 / 032 Dark 11-Jan-2019 04:11:23 5 6 -60 4 4042 3992.442 0.21945
9 BS_20190111_034624_raw01 / 033 Dark 11-Jan-2019 04:12:16 5 6 -60 4 4030 3982.3881 0.21121
9 BS_20190111_034624_raw01 / 034 Dark 11-Jan-2019 04:12:24 5 6 -60 4 4038 3985.6545 0.21083
9 BS_20190111_034624_raw01 / 033 Lite 11-Jan-2019 04:12:35 5 6 -60 4 47205 4674.0043 82.8656
9 BS_20190111_034624_raw01 / 034 Lite 11-Jan-2019 04:12:42 5 6 -60 4 47265 4676.2049 82.8378
9 BS_20190111_034624_raw01 / 035 Lite 11-Jan-2019 04:12:50 5 6 -60 4 47314 4677.7044 82.825
9 BS_20190111_034624_raw01 / 036 Lite 11-Jan-2019 04:12:57 5 6 -60 4 46999 4678.6962 82.8078
9 BS_20190111_034624_raw01 / 035 Dark 11-Jan-2019 04:13:08 5 6 -60 4 4047 3990.4052 0.21467
9 BS_20190111_034624_raw01 / 036 Dark 11-Jan-2019 04:13:16 5 6 -60 4 4041 3991.99 0.21831
10 BS_20190111_034624_raw01 / 037 Dark 11-Jan-2019 04:18:05 5 6 -60 4 5134 3980.3897 0.21494
10 BS_20190111_034624_raw01 / 038 Dark 11-Jan-2019 04:18:13 5 6 -60 4 4030 3983.6958 0.21055
10 BS_20190111_034624_raw01 / 037 Lite 11-Jan-2019 04:18:24 5 6 -60 4 47252 4674.3158 83.0889
10 BS_20190111_034624_raw01 / 038 Lite 11-Jan-2019 04:18:31 5 6 -60 4 47489 4676.8775 83.0666
10 BS_20190111_034624_raw01 / 039 Lite 11-Jan-2019 04:18:39 5 6 -60 4 47213 4678.4413 83.0418
10 BS_20190111_034624_raw01 / 040 Lite 11-Jan-2019 04:18:47 5 6 -60 4 47341 4679.8081 83.0356
10 BS_20190111_034624_raw01 / 039 Dark 11-Jan-2019 04:18:57 5 6 -60 4 4035 3989.6381 0.21166
10 BS_20190111_034624_raw01 / 040 Dark 11-Jan-2019 04:19:05 5 6 -60 4 4044 3991.2961 0.21529
11 BS_20190111_034624_raw01 / 041 Dark 11-Jan-2019 04:19:51 5 6 -60 4 4029 3983.0793 0.21136
11 BS_20190111_034624_raw01 / 042 Dark 11-Jan-2019 04:19:59 5 6 -60 4 4033 3986.1866 0.21084
11 BS_20190111_034624_raw01 / 041 Lite 11-Jan-2019 04:20:09 5 6 -60 4 47199 4676.1883 83.0748
11 BS_20190111_034624_raw01 / 042 Lite 11-Jan-2019 04:20:17 5 6 -60 4 47260 4678.4377 83.0529
11 BS_20190111_034624_raw01 / 043 Lite 11-Jan-2019 04:20:25 5 6 -60 4 47352 4679.7677 83.0332
11 BS_20190111_034624_raw01 / 044 Lite 11-Jan-2019 04:20:32 5 6 -60 4 47334 4680.8179 83.0168
11 BS_20190111_034624_raw01 / 043 Dark 11-Jan-2019 04:20:43 5 6 -60 4 4044 3990.5296 0.21338
11 BS_20190111_034624_raw01 / 044 Dark 11-Jan-2019 04:20:51 5 6 -60 4 4047 3992.2048 0.21721
12 BS_20190111_034624_raw01 / 045 Dark 11-Jan-2019 04:21:36 5 6 -60 4 4030 3983.3017 0.21109
12 BS_20190111_034624_raw01 / 046 Dark 11-Jan-2019 04:21:44 5 6 -60 4 4033 3986.2517 0.21113
12 BS_20190111_034624_raw01 / 045 Lite 11-Jan-2019 04:21:55 5 6 -60 4 47168 4676.3538 83.073
12 BS_20190111_034624_raw01 / 046 Lite 11-Jan-2019 04:22:02 5 6 -60 4 47250 4678.5613 83.0425
12 BS_20190111_034624_raw01 / 047 Lite 11-Jan-2019 04:22:10 5 6 -60 4 47193 4679.8476 83.0263
12 BS_20190111_034624_raw01 / 048 Lite 11-Jan-2019 04:22:18 5 6 -60 4 47371 4681.0247 83.019
12 BS_20190111_034624_raw01 / 047 Dark 11-Jan-2019 04:22:28 5 6 -60 4 4039 3990.6121 0.2136
12 BS_20190111_034624_raw01 / 048 Dark 11-Jan-2019 04:22:36 5 6 -60 4 4043 3992.1763 0.21735
13 BS_20190111_034624_raw01 / 049 Dark 11-Jan-2019 04:23:21 5 6 -60 4 4030 3983.2182 0.21121
13 BS_20190111_034624_raw01 / 050 Dark 11-Jan-2019 04:23:29 5 6 -60 4 4038 3986.375 0.21068
13 BS_20190111_034624_raw01 / 049 Lite 11-Jan-2019 04:23:40 5 6 -60 4 47351 4676.5107 83.0738
13 BS_20190111_034624_raw01 / 050 Lite 11-Jan-2019 04:23:47 5 6 -60 4 47480 4678.5315 83.0533
13 BS_20190111_034624_raw01 / 051 Lite 11-Jan-2019 04:23:55 5 6 -60 4 47328 4679.8796 83.0432
13 BS_20190111_034624_raw01 / 052 Lite 11-Jan-2019 04:24:03 5 6 -60 4 47384 4681.0273 83.0317
13 BS_20190111_034624_raw01 / 051 Dark 11-Jan-2019 04:24:13 5 6 -60 4 4042 3990.6472 0.21364
13 BS_20190111_034624_raw01 / 052 Dark 11-Jan-2019 04:24:21 5 6 -60 4 4043 3992.0954 0.21735
14 BS_20190111_034624_raw01 / 053 Dark 11-Jan-2019 04:27:25 5 6 -60 4 4029 3980.5546 0.21173
14 BS_20190111_034624_raw01 / 054 Dark 11-Jan-2019 04:27:32 5 6 -60 4 5261 3983.8065 0.21512
14 BS_20190111_034624_raw01 / 053 Lite 11-Jan-2019 04:27:43 5 6 -60 4 47145 4672.8151 82.9327
14 BS_20190111_034624_raw01 / 054 Lite 11-Jan-2019 04:27:51 5 6 -60 4 47166 4675.3668 82.907
14 BS_20190111_034624_raw01 / 055 Lite 11-Jan-2019 04:27:58 5 6 -60 4 47386 4677.2051 82.8884
14 BS_20190111_034624_raw01 / 056 Lite 11-Jan-2019 04:28:06 5 6 -60 4 47135 4678.2238 82.8798
14 BS_20190111_034624_raw01 / 055 Dark 11-Jan-2019 04:28:17 5 6 -60 4 4036 3989.7654 0.21062
14 BS_20190111_034624_raw01 / 056 Dark 11-Jan-2019 04:28:24 5 6 -60 4 4041 3991.1921 0.21435
15 BS_20190111_034624_raw01 / 057 Dark 11-Jan-2019 04:29:10 5 6 -60 4 4030 3983.078 0.21131
15 BS_20190111_034624_raw01 / 058 Dark 11-Jan-2019 04:29:18 5 6 -60 4 4035 3986.0623 0.21107
15 BS_20190111_034624_raw01 / 057 Lite 11-Jan-2019 04:29:29 5 6 -60 4 47162 4674.6308 82.9151
15 BS_20190111_034624_raw01 / 058 Lite 11-Jan-2019 04:29:36 5 6 -60 4 47268 4677.1644 82.8925
15 BS_20190111_034624_raw01 / 059 Lite 11-Jan-2019 04:29:44 5 6 -60 4 47272 4678.3765 82.8796
15 BS_20190111_034624_raw01 / 060 Lite 11-Jan-2019 04:29:52 5 6 -60 4 47258 4679.3513 82.878
15 BS_20190111_034624_raw01 / 059 Dark 11-Jan-2019 04:30:02 5 6 -60 4 4039 3990.4349 0.21216
15 BS_20190111_034624_raw01 / 060 Dark 11-Jan-2019 04:30:10 5 6 -60 4 4040 3991.7852 0.21658
16 BS_20190111_034624_raw01 / 061 Dark 11-Jan-2019 04:31:00 5 6 -60 4 4030 3982.905 0.21056
16 BS_20190111_034624_raw01 / 062 Dark 11-Jan-2019 04:31:07 5 6 -60 4 4037 3985.8812 0.21076
16 BS_20190111_034624_raw01 / 061 Lite 11-Jan-2019 04:31:18 5 6 -60 4 47112 4674.6417 82.9166
16 BS_20190111_034624_raw01 / 062 Lite 11-Jan-2019 04:31:26 5 6 -60 4 47234 4676.8885 82.8922
16 BS_20190111_034624_raw01 / 063 Lite 11-Jan-2019 04:31:34 5 6 -60 4 46984 4678.2897 82.881
16 BS_20190111_034624_raw01 / 064 Lite 11-Jan-2019 04:31:41 5 6 -60 4 47166 4679.2826 82.866
16 BS_20190111_034624_raw01 / 063 Dark 11-Jan-2019 04:31:52 5 6 -60 4 4038 3990.3323 0.21248
16 BS_20190111_034624_raw01 / 064 Dark 11-Jan-2019 04:32:00 5 6 -60 4 4041 3991.7578 0.21593
17 BS_20190111_034624_raw01 / 065 Dark 11-Jan-2019 04:32:58 5 6 -60 4 4028 3982.3169 0.21092
17 BS_20190111_034624_raw01 / 066 Dark 11-Jan-2019 04:33:05 5 6 -60 4 5924 3985.3779 0.22244
17 BS_20190111_034624_raw01 / 065 Lite 11-Jan-2019 04:33:16 5 6 -60 4 47179 4674.2754 82.922
17 BS_20190111_034624_raw01 / 066 Lite 11-Jan-2019 04:33:24 5 6 -60 4 47403 4676.5667 82.8956
17 BS_20190111_034624_raw01 / 067 Lite 11-Jan-2019 04:33:32 5 6 -60 4 47099 4678.0433 82.8855
17 BS_20190111_034624_raw01 / 068 Lite 11-Jan-2019 04:33:39 5 6 -60 4 47265 4679.0009 82.8766
17 BS_20190111_034624_raw01 / 067 Dark 11-Jan-2019 04:33:50 5 6 -60 4 4037 3990.2194 0.21186
17 BS_20190111_034624_raw01 / 068 Dark 11-Jan-2019 04:33:58 5 6 -60 4 4044 3991.5984 0.21587
18 BS_20190111_034624_raw01 / 069 Dark 11-Jan-2019 04:37:50 5 6 -60 4 4023 3980.4351 0.21224
18 BS_20190111_034624_raw01 / 070 Dark 11-Jan-2019 04:37:58 5 6 -60 4 4028 3983.7713 0.21084
18 BS_20190111_034624_raw01 / 069 Lite 11-Jan-2019 04:38:09 5 6 -60 4 47324 4674.8591 83.1369
18 BS_20190111_034624_raw01 / 070 Lite 11-Jan-2019 04:38:17 5 6 -60 4 47313 4677.2978 83.1139
18 BS_20190111_034624_raw01 / 071 Lite 11-Jan-2019 04:38:24 5 6 -60 4 47369 4679.1073 83.1002
18 BS_20190111_034624_raw01 / 072 Lite 11-Jan-2019 04:38:32 5 6 -60 4 47327 4680.4063 83.0791
18 BS_20190111_034624_raw01 / 071 Dark 11-Jan-2019 04:38:43 5 6 -60 4 4043 3989.7968 0.21068
18 BS_20190111_034624_raw01 / 072 Dark 11-Jan-2019 04:38:50 5 6 -60 4 4043 3991.0928 0.21266
19 BS_20190111_034624_raw01 / 073 Dark 11-Jan-2019 04:39:38 5 6 -60 4 4029 3982.8331 0.21063
19 BS_20190111_034624_raw01 / 074 Dark 11-Jan-2019 04:39:46 5 6 -60 4 4035 3986.0123 0.21082
19 BS_20190111_034624_raw01 / 073 Lite 11-Jan-2019 04:39:57 5 6 -60 4 47422 4676.8358 83.1299
19 BS_20190111_034624_raw01 / 074 Lite 11-Jan-2019 04:40:04 5 6 -60 4 47648 4678.8425 83.1051
19 BS_20190111_034624_raw01 / 075 Lite 11-Jan-2019 04:40:12 5 6 -60 4 47317 4680.4845 83.0979
19 BS_20190111_034624_raw01 / 076 Lite 11-Jan-2019 04:40:19 5 6 -60 4 47474 4681.4764 83.0847
19 BS_20190111_034624_raw01 / 075 Dark 11-Jan-2019 04:40:30 5 6 -60 4 4041 3990.5366 0.21199
19 BS_20190111_034624_raw01 / 076 Dark 11-Jan-2019 04:40:38 5 6 -60 4 4042 3991.6848 0.21489
20 BS_20190111_034624_raw01 / 077 Dark 11-Jan-2019 04:41:31 5 6 -60 4 4027 3982.7029 0.21118
20 BS_20190111_034624_raw01 / 078 Dark 11-Jan-2019 04:41:39 5 6 -60 4 4034 3985.7916 0.21102
20 BS_20190111_034624_raw01 / 077 Lite 11-Jan-2019 04:41:50 5 6 -60 4 47274 4676.771 83.1379
20 BS_20190111_034624_raw01 / 078 Lite 11-Jan-2019 04:41:57 5 6 -60 4 47457 4679.0404 83.1263
20 BS_20190111_034624_raw01 / 079 Lite 11-Jan-2019 04:42:05 5 6 -60 4 47385 4680.4824 83.1056
20 BS_20190111_034624_raw01 / 080 Lite 11-Jan-2019 04:42:13 5 6 -60 4 47343 4681.3043 83.0848
20 BS_20190111_034624_raw01 / 079 Dark 11-Jan-2019 04:42:23 5 6 -60 4 4041 3990.4492 0.21126
20 BS_20190111_034624_raw01 / 080 Dark 11-Jan-2019 04:42:31 5 6 -60 4 4048 3991.7523 0.21496
21 BS_20190111_034624_raw01 / 081 Dark 11-Jan-2019 04:43:23 5 6 -60 4 4033 3982.874 0.21106
21 BS_20190111_034624_raw01 / 082 Dark 11-Jan-2019 04:43:31 5 6 -60 4 4032 3985.874 0.2108
21 BS_20190111_034624_raw01 / 081 Lite 11-Jan-2019 04:43:42 5 6 -60 4 47256 4676.8726 83.1414
21 BS_20190111_034624_raw01 / 082 Lite 11-Jan-2019 04:43:49 5 6 -60 4 47526 4679.0412 83.1153
21 BS_20190111_034624_raw01 / 083 Lite 11-Jan-2019 04:43:57 5 6 -60 4 47304 4680.5232 83.1075
21 BS_20190111_034624_raw01 / 084 Lite 11-Jan-2019 04:44:05 5 6 -60 4 47369 4681.5331 83.0997
21 BS_20190111_034624_raw01 / 083 Dark 11-Jan-2019 04:44:15 5 6 -60 4 8959 3990.4787 0.28943
21 BS_20190111_034624_raw01 / 084 Dark 11-Jan-2019 04:44:23 5 6 -60 4 7158 3991.7196 0.23428
Grouped Image file: BS_20190111_N001_grouped.html
Grouped Image file: BS_20190111_N002_grouped.html
Grouped Image file: BS_20190111_N003_grouped.html
Grouped Image file: BS_20190111_N005_grouped.html
Grouped Image file: BS_20190111_N006_grouped.html
Grouped Image file: BS_20190111_N007_grouped.html
Grouped Image file: BS_20190111_N009_grouped.html
Grouped Image file: BS_20190111_N020_grouped.html
Grouped Image file: BS_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\BS3cal
Date: 28-Jan-2019 10:39:29
Created from mkhtml2_(1)