BS_20190117_031014_raw01 - Day 6

REVISION DATE: 28-Jan-2019 10:43:06

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_20190117_031014_raw01 / 001 Dark 17-Jan-2019 03:10:14 15 9 -60 4 4055 3997.4469 0.21875
1 BS_20190117_031014_raw01 / 002 Dark 17-Jan-2019 03:10:32 15 9 -60 4 4072 4005.7873 0.22553
1 BS_20190117_031014_raw01 / 001 Lite 17-Jan-2019 03:10:53 15 9 -60 4 33104 4586.4668 66.5294
1 BS_20190117_031014_raw01 / 002 Lite 17-Jan-2019 03:11:11 15 9 -60 4 33075 4588.2227 66.5101
1 BS_20190117_031014_raw01 / 003 Lite 17-Jan-2019 03:11:28 15 9 -60 4 33093 4589.0473 66.506
1 BS_20190117_031014_raw01 / 004 Lite 17-Jan-2019 03:11:46 15 9 -60 4 33169 4589.1575 66.5011
1 BS_20190117_031014_raw01 / 003 Dark 17-Jan-2019 03:12:07 15 9 -60 4 5118 4009.8352 0.22675
1 BS_20190117_031014_raw01 / 004 Dark 17-Jan-2019 03:12:24 15 9 -60 4 4075 4010.3877 0.22186
2 BS_20190117_031014_raw01 / 005 Dark 17-Jan-2019 03:12:56 15 9 -60 4 4073 4008.0458 0.22094
2 BS_20190117_031014_raw01 / 006 Dark 17-Jan-2019 03:13:13 15 9 -60 4 4062 4009.6368 0.22121
2 BS_20190117_031014_raw01 / 005 Lite 17-Jan-2019 03:13:34 15 9 -60 4 33056 4588.3847 66.4979
2 BS_20190117_031014_raw01 / 006 Lite 17-Jan-2019 03:13:52 15 9 -60 4 33195 4588.9475 66.496
2 BS_20190117_031014_raw01 / 007 Lite 17-Jan-2019 03:14:09 15 9 -60 4 33061 4589.3898 66.4925
2 BS_20190117_031014_raw01 / 008 Lite 17-Jan-2019 03:14:27 15 9 -60 4 33105 4589.6273 66.4924
2 BS_20190117_031014_raw01 / 007 Dark 17-Jan-2019 03:14:48 15 9 -60 4 4079 4010.2295 0.22172
2 BS_20190117_031014_raw01 / 008 Dark 17-Jan-2019 03:15:05 15 9 -60 4 4067 4010.6539 0.22231
3 BS_20190117_031014_raw01 / 009 Dark 17-Jan-2019 03:15:35 15 9 -60 4 5937 4008.4622 0.23063
3 BS_20190117_031014_raw01 / 010 Dark 17-Jan-2019 03:15:53 15 9 -60 4 9073 4009.8626 0.35358
3 BS_20190117_031014_raw01 / 009 Lite 17-Jan-2019 03:16:13 15 9 -60 4 33038 4588.5899 66.4934
3 BS_20190117_031014_raw01 / 010 Lite 17-Jan-2019 03:16:31 15 9 -60 4 32906 4589.3545 66.4963
3 BS_20190117_031014_raw01 / 011 Lite 17-Jan-2019 03:16:49 15 9 -60 4 33121 4589.7222 66.496
3 BS_20190117_031014_raw01 / 012 Lite 17-Jan-2019 03:17:06 15 9 -60 4 33056 4589.8738 66.4944
3 BS_20190117_031014_raw01 / 011 Dark 17-Jan-2019 03:17:27 15 9 -60 4 5677 4010.2943 0.22742
3 BS_20190117_031014_raw01 / 012 Dark 17-Jan-2019 03:17:45 15 9 -60 4 4072 4010.6502 0.22213
4 BS_20190117_031014_raw01 / 013 Dark 17-Jan-2019 03:18:13 15 9 -60 4 4061 4008.8061 0.22151
4 BS_20190117_031014_raw01 / 014 Dark 17-Jan-2019 03:18:31 15 9 -60 4 4741 4010.1809 0.22346
4 BS_20190117_031014_raw01 / 013 Lite 17-Jan-2019 03:18:51 15 9 -60 4 33020 4588.7609 66.4898
4 BS_20190117_031014_raw01 / 014 Lite 17-Jan-2019 03:19:09 15 9 -60 4 33082 4589.3975 66.4937
4 BS_20190117_031014_raw01 / 015 Lite 17-Jan-2019 03:19:27 15 9 -60 4 32938 4589.7683 66.4811
4 BS_20190117_031014_raw01 / 016 Lite 17-Jan-2019 03:19:44 15 9 -60 4 33106 4590.1117 66.4947
4 BS_20190117_031014_raw01 / 015 Dark 17-Jan-2019 03:20:05 15 9 -60 4 6433 4010.4636 0.24327
4 BS_20190117_031014_raw01 / 016 Dark 17-Jan-2019 03:20:23 15 9 -60 4 4080 4010.9606 0.2217
5 BS_20190117_031014_raw01 / 017 Dark 17-Jan-2019 03:21:07 15 9 -60 4 4061 4005.39 0.22702
5 BS_20190117_031014_raw01 / 018 Dark 17-Jan-2019 03:21:25 15 9 -60 4 4063 4009.2904 0.22093
5 BS_20190117_031014_raw01 / 017 Lite 17-Jan-2019 03:21:46 15 9 -60 4 33211 4588.4912 66.4954
5 BS_20190117_031014_raw01 / 018 Lite 17-Jan-2019 03:22:03 15 9 -60 4 32960 4589.4834 66.4899
5 BS_20190117_031014_raw01 / 019 Lite 17-Jan-2019 03:22:21 15 9 -60 4 33110 4590.0424 66.4809
5 BS_20190117_031014_raw01 / 020 Lite 17-Jan-2019 03:22:39 15 9 -60 4 32995 4590.2637 66.4899
5 BS_20190117_031014_raw01 / 019 Dark 17-Jan-2019 03:22:59 15 9 -60 4 4059 4010.8367 0.22142
5 BS_20190117_031014_raw01 / 020 Dark 17-Jan-2019 03:23:17 15 9 -60 4 5486 4011.2324 0.24072
6 BS_20190117_031014_raw01 / 021 Dark 17-Jan-2019 03:31:16 15 9 -60 4 4049 3998.1875 0.21742
6 BS_20190117_031014_raw01 / 022 Dark 17-Jan-2019 03:31:34 15 9 -60 4 5134 4004.8351 0.22967
6 BS_20190117_031014_raw01 / 021 Lite 17-Jan-2019 03:31:55 15 9 -60 4 32337 4575.0414 65.3891
6 BS_20190117_031014_raw01 / 022 Lite 17-Jan-2019 03:32:12 15 9 -60 4 32612 4577.8541 65.3462
6 BS_20190117_031014_raw01 / 023 Lite 17-Jan-2019 03:32:30 15 9 -60 4 32503 4579.2982 65.3364
6 BS_20190117_031014_raw01 / 024 Lite 17-Jan-2019 03:32:47 15 9 -60 4 32509 4579.9269 65.3384
6 BS_20190117_031014_raw01 / 023 Dark 17-Jan-2019 03:33:08 15 9 -60 4 7469 4011.5749 0.2482
6 BS_20190117_031014_raw01 / 024 Dark 17-Jan-2019 03:33:26 15 9 -60 4 4776 4012.1942 0.22292
7 BS_20190117_031014_raw01 / 025 Dark 17-Jan-2019 03:34:14 15 9 -60 4 6943 4003.7087 0.2415
7 BS_20190117_031014_raw01 / 026 Dark 17-Jan-2019 03:34:32 15 9 -60 4 4075 4009.4283 0.22495
7 BS_20190117_031014_raw01 / 025 Lite 17-Jan-2019 03:34:53 15 9 -60 4 32481 4577.4977 65.3605
7 BS_20190117_031014_raw01 / 026 Lite 17-Jan-2019 03:35:10 15 9 -60 4 32420 4578.9537 65.3389
7 BS_20190117_031014_raw01 / 027 Lite 17-Jan-2019 03:35:28 15 9 -60 4 32407 4579.8847 65.3387
7 BS_20190117_031014_raw01 / 028 Lite 17-Jan-2019 03:35:45 15 9 -60 4 32409 4580.1711 65.3389
7 BS_20190117_031014_raw01 / 027 Dark 17-Jan-2019 03:36:06 15 9 -60 4 4088 4011.8685 0.22117
7 BS_20190117_031014_raw01 / 028 Dark 17-Jan-2019 03:36:24 15 9 -60 4 4068 4012.3235 0.22091
8 BS_20190117_031014_raw01 / 029 Dark 17-Jan-2019 03:36:59 15 9 -60 4 4067 4007.5048 0.22779
8 BS_20190117_031014_raw01 / 030 Dark 17-Jan-2019 03:37:16 15 9 -60 4 4085 4010.947 0.22197
8 BS_20190117_031014_raw01 / 029 Lite 17-Jan-2019 03:37:37 15 9 -60 4 32634 4578.419 65.3523
8 BS_20190117_031014_raw01 / 030 Lite 17-Jan-2019 03:37:55 15 9 -60 4 32521 4579.5617 65.3399
8 BS_20190117_031014_raw01 / 031 Lite 17-Jan-2019 03:38:12 15 9 -60 4 32458 4580.1339 65.3354
8 BS_20190117_031014_raw01 / 032 Lite 17-Jan-2019 03:38:30 15 9 -60 4 32388 4580.3821 65.334
8 BS_20190117_031014_raw01 / 031 Dark 17-Jan-2019 03:38:51 15 9 -60 4 4069 4011.897 0.2211
8 BS_20190117_031014_raw01 / 032 Dark 17-Jan-2019 03:39:09 15 9 -60 4 5964 4012.3818 0.2358
9 BS_20190117_031014_raw01 / 033 Dark 17-Jan-2019 03:40:07 15 9 -60 4 6289 4002.0026 0.22915
9 BS_20190117_031014_raw01 / 034 Dark 17-Jan-2019 03:40:24 15 9 -60 4 4070 4008.2818 0.22748
9 BS_20190117_031014_raw01 / 033 Lite 17-Jan-2019 03:40:45 15 9 -60 4 32471 4576.7476 65.3765
9 BS_20190117_031014_raw01 / 034 Lite 17-Jan-2019 03:41:03 15 9 -60 4 32423 4578.91 65.3396
9 BS_20190117_031014_raw01 / 035 Lite 17-Jan-2019 03:41:20 15 9 -60 4 32618 4579.8206 65.3391
9 BS_20190117_031014_raw01 / 036 Lite 17-Jan-2019 03:41:38 15 9 -60 4 32474 4580.4591 65.3406
9 BS_20190117_031014_raw01 / 035 Dark 17-Jan-2019 03:41:59 15 9 -60 4 5128 4011.9146 0.22727
9 BS_20190117_031014_raw01 / 036 Dark 17-Jan-2019 03:42:16 15 9 -60 4 4079 4012.5495 0.22127
10 BS_20190117_031014_raw01 / 037 Dark 17-Jan-2019 03:48:24 15 9 -60 4 4050 3998.6503 0.21734
10 BS_20190117_031014_raw01 / 038 Dark 17-Jan-2019 03:48:41 15 9 -60 4 5177 4004.5581 0.23018
10 BS_20190117_031014_raw01 / 037 Lite 17-Jan-2019 03:49:02 15 9 -60 4 32358 4572.9428 65.209
10 BS_20190117_031014_raw01 / 038 Lite 17-Jan-2019 03:49:20 15 9 -60 4 32489 4575.9454 65.1719
10 BS_20190117_031014_raw01 / 039 Lite 17-Jan-2019 03:49:37 15 9 -60 4 32272 4577.6966 65.1459
10 BS_20190117_031014_raw01 / 040 Lite 17-Jan-2019 03:49:55 15 9 -60 4 32453 4578.6137 65.1438
10 BS_20190117_031014_raw01 / 039 Dark 17-Jan-2019 03:50:16 15 9 -60 4 4906 4012.0309 0.22454
10 BS_20190117_031014_raw01 / 040 Dark 17-Jan-2019 03:50:34 15 9 -60 4 4091 4012.9085 0.22131
11 BS_20190117_031014_raw01 / 041 Dark 17-Jan-2019 03:51:27 15 9 -60 4 4053 4002.6212 0.21956
11 BS_20190117_031014_raw01 / 042 Dark 17-Jan-2019 03:51:44 15 9 -60 4 4069 4008.3099 0.22804
11 BS_20190117_031014_raw01 / 041 Lite 17-Jan-2019 03:52:05 15 9 -60 4 32224 4574.9698 65.1873
11 BS_20190117_031014_raw01 / 042 Lite 17-Jan-2019 03:52:23 15 9 -60 4 32448 4577.2402 65.1585
11 BS_20190117_031014_raw01 / 043 Lite 17-Jan-2019 03:52:40 15 9 -60 4 32491 4578.2335 65.1484
11 BS_20190117_031014_raw01 / 044 Lite 17-Jan-2019 03:52:58 15 9 -60 4 32318 4578.8294 65.1428
11 BS_20190117_031014_raw01 / 043 Dark 17-Jan-2019 03:53:19 15 9 -60 4 4987 4012.1935 0.2259
11 BS_20190117_031014_raw01 / 044 Dark 17-Jan-2019 03:53:36 15 9 -60 4 5689 4012.9081 0.23413
12 BS_20190117_031014_raw01 / 045 Dark 17-Jan-2019 03:54:07 15 9 -60 4 4063 4008.1501 0.22864
12 BS_20190117_031014_raw01 / 046 Dark 17-Jan-2019 03:54:25 15 9 -60 4 4066 4011.4604 0.22372
12 BS_20190117_031014_raw01 / 045 Lite 17-Jan-2019 03:54:46 15 9 -60 4 32412 4576.7078 65.1683
12 BS_20190117_031014_raw01 / 046 Lite 17-Jan-2019 03:55:03 15 9 -60 4 63665 4578.965 65.2732
12 BS_20190117_031014_raw01 / 047 Lite 17-Jan-2019 03:55:21 15 9 -60 4 32485 4578.9498 65.146
12 BS_20190117_031014_raw01 / 048 Lite 17-Jan-2019 03:55:38 15 9 -60 4 32416 4579.1151 65.1448
12 BS_20190117_031014_raw01 / 047 Dark 17-Jan-2019 03:55:59 15 9 -60 4 4072 4012.3792 0.22201
12 BS_20190117_031014_raw01 / 048 Dark 17-Jan-2019 03:56:17 15 9 -60 4 5430 4012.8533 0.23148
13 BS_20190117_031014_raw01 / 049 Dark 17-Jan-2019 03:56:58 15 9 -60 4 4061 4004.8002 0.22444
13 BS_20190117_031014_raw01 / 050 Dark 17-Jan-2019 03:57:15 15 9 -60 4 4074 4009.9425 0.22717
13 BS_20190117_031014_raw01 / 049 Lite 17-Jan-2019 03:57:36 15 9 -60 4 32325 4575.9551 65.186
13 BS_20190117_031014_raw01 / 050 Lite 17-Jan-2019 03:57:54 15 9 -60 4 32280 4577.9474 65.1623
13 BS_20190117_031014_raw01 / 051 Lite 17-Jan-2019 03:58:11 15 9 -60 4 32537 4578.5518 65.1521
13 BS_20190117_031014_raw01 / 052 Lite 17-Jan-2019 03:58:29 15 9 -60 4 32365 4579.09 65.1568
13 BS_20190117_031014_raw01 / 051 Dark 17-Jan-2019 03:58:50 15 9 -60 4 4068 4012.2943 0.22222
13 BS_20190117_031014_raw01 / 052 Dark 17-Jan-2019 03:59:07 15 9 -60 4 8117 4012.8899 0.25591
14 BS_20190117_031014_raw01 / 053 Dark 17-Jan-2019 04:02:10 15 9 -60 4 4056 3998.7018 0.21797
14 BS_20190117_031014_raw01 / 054 Dark 17-Jan-2019 04:02:27 15 9 -60 4 4056 4004.464 0.21912
14 BS_20190117_031014_raw01 / 053 Lite 17-Jan-2019 04:02:48 15 9 -60 4 32464 4574.8416 65.4299
14 BS_20190117_031014_raw01 / 054 Lite 17-Jan-2019 04:03:06 15 9 -60 4 32488 4577.6287 65.3955
14 BS_20190117_031014_raw01 / 055 Lite 17-Jan-2019 04:03:23 15 9 -60 4 32399 4579.3248 65.3753
14 BS_20190117_031014_raw01 / 056 Lite 17-Jan-2019 04:03:41 15 9 -60 4 32403 4580.6692 65.3752
14 BS_20190117_031014_raw01 / 055 Dark 17-Jan-2019 04:04:02 15 9 -60 4 4073 4012.0551 0.22485
14 BS_20190117_031014_raw01 / 056 Dark 17-Jan-2019 04:04:19 15 9 -60 4 4073 4012.9378 0.22156
15 BS_20190117_031014_raw01 / 057 Dark 17-Jan-2019 04:04:50 15 9 -60 4 4076 4007.6659 0.22817
15 BS_20190117_031014_raw01 / 058 Dark 17-Jan-2019 04:05:08 15 9 -60 4 7899 4011.1817 0.28763
15 BS_20190117_031014_raw01 / 057 Lite 17-Jan-2019 04:05:29 15 9 -60 4 32521 4578.5789 65.3993
15 BS_20190117_031014_raw01 / 058 Lite 17-Jan-2019 04:05:46 15 9 -60 4 32537 4580.2101 65.3801
15 BS_20190117_031014_raw01 / 059 Lite 17-Jan-2019 04:06:04 15 9 -60 4 32431 4581.0439 65.3701
15 BS_20190117_031014_raw01 / 060 Lite 17-Jan-2019 04:06:22 15 9 -60 4 32496 4581.2398 65.3704
15 BS_20190117_031014_raw01 / 059 Dark 17-Jan-2019 04:06:42 15 9 -60 4 4082 4012.4179 0.22329
15 BS_20190117_031014_raw01 / 060 Dark 17-Jan-2019 04:07:00 15 9 -60 4 4508 4013.1521 0.22266
16 BS_20190117_031014_raw01 / 061 Dark 17-Jan-2019 04:07:33 15 9 -60 4 5375 4006.9774 0.22947
16 BS_20190117_031014_raw01 / 062 Dark 17-Jan-2019 04:07:51 15 9 -60 4 4072 4010.807 0.22717
16 BS_20190117_031014_raw01 / 061 Lite 17-Jan-2019 04:08:12 15 9 -60 4 32642 4578.4852 65.4096
16 BS_20190117_031014_raw01 / 062 Lite 17-Jan-2019 04:08:29 15 9 -60 4 32444 4580.1742 65.3834
16 BS_20190117_031014_raw01 / 063 Lite 17-Jan-2019 04:08:47 15 9 -60 4 32529 4580.9086 65.3739
16 BS_20190117_031014_raw01 / 064 Lite 17-Jan-2019 04:09:04 15 9 -60 4 32490 4581.5786 65.3759
16 BS_20190117_031014_raw01 / 063 Dark 17-Jan-2019 04:09:25 15 9 -60 4 5325 4012.3514 0.22794
16 BS_20190117_031014_raw01 / 064 Dark 17-Jan-2019 04:09:43 15 9 -60 4 5713 4013.1837 0.23417
17 BS_20190117_031014_raw01 / 065 Dark 17-Jan-2019 04:10:16 15 9 -60 4 4068 4006.9381 0.2261
17 BS_20190117_031014_raw01 / 066 Dark 17-Jan-2019 04:10:34 15 9 -60 4 4078 4010.8077 0.22771
17 BS_20190117_031014_raw01 / 065 Lite 17-Jan-2019 04:10:54 15 9 -60 4 32455 4578.5223 65.4162
17 BS_20190117_031014_raw01 / 066 Lite 17-Jan-2019 04:11:12 15 9 -60 4 32681 4580.234 65.3943
17 BS_20190117_031014_raw01 / 067 Lite 17-Jan-2019 04:11:30 15 9 -60 4 32411 4581.0996 65.3811
17 BS_20190117_031014_raw01 / 068 Lite 17-Jan-2019 04:11:47 15 9 -60 4 32369 4581.5154 65.3769
17 BS_20190117_031014_raw01 / 067 Dark 17-Jan-2019 04:12:08 15 9 -60 4 4080 4012.5658 0.22431
17 BS_20190117_031014_raw01 / 068 Dark 17-Jan-2019 04:12:26 15 9 -60 4 4083 4013.2515 0.22268
18 BS_20190117_031014_raw01 / 069 Dark 17-Jan-2019 04:15:55 15 9 -60 4 4063 3999.0914 0.21732
18 BS_20190117_031014_raw01 / 070 Dark 17-Jan-2019 04:16:12 15 9 -60 4 5031 4004.7165 0.22101
18 BS_20190117_031014_raw01 / 069 Lite 17-Jan-2019 04:16:33 15 9 -60 4 33035 4586.1059 66.5948
18 BS_20190117_031014_raw01 / 070 Lite 17-Jan-2019 04:16:51 15 9 -60 4 33018 4588.8148 66.5617
18 BS_20190117_031014_raw01 / 071 Lite 17-Jan-2019 04:17:09 15 9 -60 4 33042 4590.6363 66.5426
18 BS_20190117_031014_raw01 / 072 Lite 17-Jan-2019 04:17:26 15 9 -60 4 33193 4591.6461 66.5288
18 BS_20190117_031014_raw01 / 071 Dark 17-Jan-2019 04:17:47 15 9 -60 4 13024 4011.8437 0.42849
18 BS_20190117_031014_raw01 / 072 Dark 17-Jan-2019 04:18:05 15 9 -60 4 4076 4013.0802 0.22443
19 BS_20190117_031014_raw01 / 073 Dark 17-Jan-2019 04:18:38 15 9 -60 4 6947 4006.5201 0.25645
19 BS_20190117_031014_raw01 / 074 Dark 17-Jan-2019 04:18:56 15 9 -60 4 4070 4010.2271 0.22845
19 BS_20190117_031014_raw01 / 073 Lite 17-Jan-2019 04:19:17 15 9 -60 4 33072 4589.5018 66.5612
19 BS_20190117_031014_raw01 / 074 Lite 17-Jan-2019 04:19:34 15 9 -60 4 33091 4591.04 66.5425
19 BS_20190117_031014_raw01 / 075 Lite 17-Jan-2019 04:19:52 15 9 -60 4 33008 4591.9232 66.5271
19 BS_20190117_031014_raw01 / 076 Lite 17-Jan-2019 04:20:10 15 9 -60 4 33141 4592.5223 66.5216
19 BS_20190117_031014_raw01 / 075 Dark 17-Jan-2019 04:20:30 15 9 -60 4 4084 4012.3984 0.22571
19 BS_20190117_031014_raw01 / 076 Dark 17-Jan-2019 04:20:48 15 9 -60 4 4079 4013.1562 0.22427
20 BS_20190117_031014_raw01 / 077 Dark 17-Jan-2019 04:21:20 15 9 -60 4 4065 4007.3254 0.22619
20 BS_20190117_031014_raw01 / 078 Dark 17-Jan-2019 04:21:37 15 9 -60 4 4074 4010.7002 0.22859
20 BS_20190117_031014_raw01 / 077 Lite 17-Jan-2019 04:21:58 15 9 -60 4 33088 4589.6239 66.559
20 BS_20190117_031014_raw01 / 078 Lite 17-Jan-2019 04:22:16 15 9 -60 4 33184 4591.2123 66.5397
20 BS_20190117_031014_raw01 / 079 Lite 17-Jan-2019 04:22:33 15 9 -60 4 33123 4592.0558 66.5214
20 BS_20190117_031014_raw01 / 080 Lite 17-Jan-2019 04:22:51 15 9 -60 4 33027 4592.502 66.5169
20 BS_20190117_031014_raw01 / 079 Dark 17-Jan-2019 04:23:12 15 9 -60 4 4086 4012.5669 0.22601
20 BS_20190117_031014_raw01 / 080 Dark 17-Jan-2019 04:23:29 15 9 -60 4 5340 4013.3151 0.229
21 BS_20190117_031014_raw01 / 081 Dark 17-Jan-2019 04:23:59 15 9 -60 4 5003 4008.0183 0.23161
21 BS_20190117_031014_raw01 / 082 Dark 17-Jan-2019 04:24:17 15 9 -60 4 5943 4011.3509 0.23823
21 BS_20190117_031014_raw01 / 081 Lite 17-Jan-2019 04:24:38 15 9 -60 4 33177 4590.0185 66.554
21 BS_20190117_031014_raw01 / 082 Lite 17-Jan-2019 04:24:55 15 9 -60 4 33235 4591.4891 66.5328
21 BS_20190117_031014_raw01 / 083 Lite 17-Jan-2019 04:25:13 15 9 -60 4 33060 4592.3154 66.5195
21 BS_20190117_031014_raw01 / 084 Lite 17-Jan-2019 04:25:31 15 9 -60 4 33240 4592.9254 66.5185
21 BS_20190117_031014_raw01 / 083 Dark 17-Jan-2019 04:25:51 15 9 -60 4 6175 4012.4572 0.23931
21 BS_20190117_031014_raw01 / 084 Dark 17-Jan-2019 04:26:09 15 9 -60 4 4071 4013.3327 0.22394
Grouped Image file: BS_20190117_N001_grouped.html
Grouped Image file: BS_20190117_N002_grouped.html
Grouped Image file: BS_20190117_N003_grouped.html
Grouped Image file: BS_20190117_N005_grouped.html
Grouped Image file: BS_20190117_N006_grouped.html
Grouped Image file: BS_20190117_N007_grouped.html
Grouped Image file: BS_20190117_N009_grouped.html
Grouped Image file: BS_20190117_N020_grouped.html
Grouped Image file: BS_20190117_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 10:43:24
Created from mkhtml2_(1)