BS_20190110_045709_raw01 - Day 1

REVISION DATE: 28-Jan-2019 10:38:35

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_20190110_045709_raw01 / 001 Dark 10-Jan-2019 04:57:09 5 6 -60 4 4031 3981.4474 0.21383
1 BS_20190110_045709_raw01 / 002 Dark 10-Jan-2019 04:57:17 5 6 -60 4 4038 3984.8951 0.21362
1 BS_20190110_045709_raw01 / 001 Lite 10-Jan-2019 04:57:28 5 6 -60 4 46659 4668.4184 82.4601
1 BS_20190110_045709_raw01 / 002 Lite 10-Jan-2019 04:57:35 5 6 -60 4 46679 4670.2639 82.4398
1 BS_20190110_045709_raw01 / 003 Lite 10-Jan-2019 04:57:43 5 6 -60 4 46758 4671.5327 82.4342
1 BS_20190110_045709_raw01 / 004 Lite 10-Jan-2019 04:57:51 5 6 -60 4 46972 4672.5438 82.4237
1 BS_20190110_045709_raw01 / 003 Dark 10-Jan-2019 04:58:02 5 6 -60 4 4040 3990.029 0.21731
1 BS_20190110_045709_raw01 / 004 Dark 10-Jan-2019 04:58:09 5 6 -60 4 4039 3990.8884 0.21801
2 BS_20190110_045709_raw01 / 005 Dark 10-Jan-2019 04:59:24 5 6 -60 4 4033 3983.1202 0.21294
2 BS_20190110_045709_raw01 / 006 Dark 10-Jan-2019 04:59:32 5 6 -60 4 4035 3986.1736 0.21463
2 BS_20190110_045709_raw01 / 005 Lite 10-Jan-2019 04:59:43 5 6 -60 4 46765 4669.4677 82.4432
2 BS_20190110_045709_raw01 / 006 Lite 10-Jan-2019 04:59:50 5 6 -60 4 46899 4671.2636 82.4358
2 BS_20190110_045709_raw01 / 007 Lite 10-Jan-2019 04:59:58 5 6 -60 4 46780 4672.3631 82.4351
2 BS_20190110_045709_raw01 / 008 Lite 10-Jan-2019 05:00:06 5 6 -60 4 46766 4673.1665 82.415
2 BS_20190110_045709_raw01 / 007 Dark 10-Jan-2019 05:00:16 5 6 -60 4 4041 3990.6145 0.21699
2 BS_20190110_045709_raw01 / 008 Dark 10-Jan-2019 05:00:24 5 6 -60 4 4041 3991.2328 0.21802
3 BS_20190110_045709_raw01 / 009 Dark 10-Jan-2019 05:01:18 5 6 -60 4 4029 3984.2801 0.21256
3 BS_20190110_045709_raw01 / 010 Dark 10-Jan-2019 05:01:26 5 6 -60 4 4033 3987.1469 0.21456
3 BS_20190110_045709_raw01 / 009 Lite 10-Jan-2019 05:01:36 5 6 -60 4 46807 4670.5544 82.4459
3 BS_20190110_045709_raw01 / 010 Lite 10-Jan-2019 05:01:44 5 6 -60 4 46852 4672.144 82.4293
3 BS_20190110_045709_raw01 / 011 Lite 10-Jan-2019 05:01:52 5 6 -60 4 47035 4673.227 82.4299
3 BS_20190110_045709_raw01 / 012 Lite 10-Jan-2019 05:01:59 5 6 -60 4 46797 4673.9261 82.4217
3 BS_20190110_045709_raw01 / 011 Dark 10-Jan-2019 05:02:10 5 6 -60 4 4051 3990.8853 0.21674
3 BS_20190110_045709_raw01 / 012 Dark 10-Jan-2019 05:02:18 5 6 -60 4 4044 3991.6577 0.21764
4 BS_20190110_045709_raw01 / 013 Dark 10-Jan-2019 05:03:16 5 6 -60 4 4046 3984.4322 0.21318
4 BS_20190110_045709_raw01 / 014 Dark 10-Jan-2019 05:03:23 5 6 -60 4 4034 3987.2973 0.21335
4 BS_20190110_045709_raw01 / 013 Lite 10-Jan-2019 05:03:34 5 6 -60 4 46668 4670.5457 82.4411
4 BS_20190110_045709_raw01 / 014 Lite 10-Jan-2019 05:03:42 5 6 -60 4 46809 4672.4359 82.4401
4 BS_20190110_045709_raw01 / 015 Lite 10-Jan-2019 05:03:49 5 6 -60 4 46868 4673.473 82.433
4 BS_20190110_045709_raw01 / 016 Lite 10-Jan-2019 05:03:57 5 6 -60 4 46844 4673.9965 82.4147
4 BS_20190110_045709_raw01 / 015 Dark 10-Jan-2019 05:04:08 5 6 -60 4 6690 3991.0229 0.24427
4 BS_20190110_045709_raw01 / 016 Dark 10-Jan-2019 05:04:15 5 6 -60 4 4042 3991.863 0.21729
5 BS_20190110_045709_raw01 / 017 Dark 10-Jan-2019 05:05:10 5 6 -60 4 4037 3984.43 0.21343
5 BS_20190110_045709_raw01 / 018 Dark 10-Jan-2019 05:05:17 5 6 -60 4 4034 3987.4056 0.21336
5 BS_20190110_045709_raw01 / 017 Lite 10-Jan-2019 05:05:28 5 6 -60 4 47046 4670.9298 82.4354
5 BS_20190110_045709_raw01 / 018 Lite 10-Jan-2019 05:05:36 5 6 -60 4 46831 4672.5872 82.4321
5 BS_20190110_045709_raw01 / 019 Lite 10-Jan-2019 05:05:43 5 6 -60 4 46776 4673.6853 82.4147
5 BS_20190110_045709_raw01 / 020 Lite 10-Jan-2019 05:05:51 5 6 -60 4 46972 4674.4115 82.41
5 BS_20190110_045709_raw01 / 019 Dark 10-Jan-2019 05:06:02 5 6 -60 4 5393 3991.453 0.22166
5 BS_20190110_045709_raw01 / 020 Dark 10-Jan-2019 05:06:10 5 6 -60 4 4042 3992.0211 0.21677
6 BS_20190110_045709_raw01 / 021 Dark 10-Jan-2019 05:10:45 5 6 -60 4 4026 3979.4543 0.21806
6 BS_20190110_045709_raw01 / 022 Dark 10-Jan-2019 05:10:53 5 6 -60 4 4039 3985.4319 0.21748
6 BS_20190110_045709_raw01 / 021 Lite 10-Jan-2019 05:11:03 5 6 -60 4 47169 4669.1896 82.4161
6 BS_20190110_045709_raw01 / 022 Lite 10-Jan-2019 05:11:11 5 6 -60 4 46915 4671.9996 82.3891
6 BS_20190110_045709_raw01 / 023 Lite 10-Jan-2019 05:11:19 5 6 -60 4 47105 4673.4852 82.3794
6 BS_20190110_045709_raw01 / 024 Lite 10-Jan-2019 05:11:26 5 6 -60 4 46759 4674.4398 82.3845
6 BS_20190110_045709_raw01 / 023 Dark 10-Jan-2019 05:11:37 5 6 -60 4 4043 3991.5363 0.21338
6 BS_20190110_045709_raw01 / 024 Dark 10-Jan-2019 05:11:45 5 6 -60 4 4043 3992.4588 0.21415
7 BS_20190110_045709_raw01 / 025 Dark 10-Jan-2019 05:13:07 5 6 -60 4 4026 3980.9849 0.2197
7 BS_20190110_045709_raw01 / 026 Dark 10-Jan-2019 05:13:14 5 6 -60 4 4032 3986.7515 0.21654
7 BS_20190110_045709_raw01 / 025 Lite 10-Jan-2019 05:13:25 5 6 -60 4 46979 4670.07 82.4149
7 BS_20190110_045709_raw01 / 026 Lite 10-Jan-2019 05:13:33 5 6 -60 4 46951 4672.8528 82.3957
7 BS_20190110_045709_raw01 / 027 Lite 10-Jan-2019 05:13:40 5 6 -60 4 46926 4674.2578 82.386
7 BS_20190110_045709_raw01 / 028 Lite 10-Jan-2019 05:13:48 5 6 -60 4 46872 4674.9691 82.3743
7 BS_20190110_045709_raw01 / 027 Dark 10-Jan-2019 05:13:59 5 6 -60 4 4552 3992.0227 0.21372
7 BS_20190110_045709_raw01 / 028 Dark 10-Jan-2019 05:14:06 5 6 -60 4 4043 3992.9022 0.21429
8 BS_20190110_045709_raw01 / 029 Dark 10-Jan-2019 05:14:52 5 6 -60 4 4036 3984.1316 0.21992
8 BS_20190110_045709_raw01 / 030 Dark 10-Jan-2019 05:15:00 5 6 -60 4 4039 3988.5179 0.21419
8 BS_20190110_045709_raw01 / 029 Lite 10-Jan-2019 05:15:10 5 6 -60 4 46801 4671.8637 82.4022
8 BS_20190110_045709_raw01 / 030 Lite 10-Jan-2019 05:15:18 5 6 -60 4 47142 4673.8976 82.3836
8 BS_20190110_045709_raw01 / 031 Lite 10-Jan-2019 05:15:26 5 6 -60 4 46806 4674.9048 82.3781
8 BS_20190110_045709_raw01 / 032 Lite 10-Jan-2019 05:15:33 5 6 -60 4 46764 4675.5849 82.3586
8 BS_20190110_045709_raw01 / 031 Dark 10-Jan-2019 05:15:44 5 6 -60 4 4042 3992.5108 0.21306
8 BS_20190110_045709_raw01 / 032 Dark 10-Jan-2019 05:15:52 5 6 -60 4 4044 3993.1802 0.21382
9 BS_20190110_045709_raw01 / 033 Dark 10-Jan-2019 05:16:39 5 6 -60 4 4031 3983.9131 0.22052
9 BS_20190110_045709_raw01 / 034 Dark 10-Jan-2019 05:16:46 5 6 -60 4 4032 3988.5984 0.21458
9 BS_20190110_045709_raw01 / 033 Lite 10-Jan-2019 05:16:57 5 6 -60 4 46888 4671.7285 82.4154
9 BS_20190110_045709_raw01 / 034 Lite 10-Jan-2019 05:17:05 5 6 -60 4 46939 4674.2993 82.39
9 BS_20190110_045709_raw01 / 035 Lite 10-Jan-2019 05:17:12 5 6 -60 4 46853 4675.3169 82.3775
9 BS_20190110_045709_raw01 / 036 Lite 10-Jan-2019 05:17:20 5 6 -60 4 46891 4676.0183 82.3697
9 BS_20190110_045709_raw01 / 035 Dark 10-Jan-2019 05:17:31 5 6 -60 4 4041 3992.631 0.21265
9 BS_20190110_045709_raw01 / 036 Dark 10-Jan-2019 05:17:38 5 6 -60 4 4046 3993.3613 0.21365
10 BS_20190110_045709_raw01 / 037 Dark 10-Jan-2019 05:23:46 5 6 -60 4 5227 3979.512 0.21523
10 BS_20190110_045709_raw01 / 038 Dark 10-Jan-2019 05:23:54 5 6 -60 4 4030 3983.3779 0.21544
10 BS_20190110_045709_raw01 / 037 Lite 10-Jan-2019 05:24:04 5 6 -60 4 46889 4668.1834 82.5402
10 BS_20190110_045709_raw01 / 038 Lite 10-Jan-2019 05:24:12 5 6 -60 4 46916 4671.7601 82.49
10 BS_20190110_045709_raw01 / 039 Lite 10-Jan-2019 05:24:20 5 6 -60 4 46910 4674.1361 82.444
10 BS_20190110_045709_raw01 / 040 Lite 10-Jan-2019 05:24:27 5 6 -60 4 46982 4676.2028 82.4228
10 BS_20190110_045709_raw01 / 039 Dark 10-Jan-2019 05:24:38 5 6 -60 4 4036 3992.4457 0.21501
10 BS_20190110_045709_raw01 / 040 Dark 10-Jan-2019 05:24:46 5 6 -60 4 4048 3993.9287 0.21261
11 BS_20190110_045709_raw01 / 041 Dark 10-Jan-2019 05:25:53 5 6 -60 4 4029 3981.22 0.21123
11 BS_20190110_045709_raw01 / 042 Dark 10-Jan-2019 05:26:01 5 6 -60 4 4030 3985.3652 0.21833
11 BS_20190110_045709_raw01 / 041 Lite 10-Jan-2019 05:26:12 5 6 -60 4 47073 4669.8761 82.5359
11 BS_20190110_045709_raw01 / 042 Lite 10-Jan-2019 05:26:19 5 6 -60 4 46945 4673.1658 82.5101
11 BS_20190110_045709_raw01 / 043 Lite 10-Jan-2019 05:26:27 5 6 -60 4 46918 4675.3111 82.4715
11 BS_20190110_045709_raw01 / 044 Lite 10-Jan-2019 05:26:34 5 6 -60 4 46762 4677.068 82.4398
11 BS_20190110_045709_raw01 / 043 Dark 10-Jan-2019 05:26:45 5 6 -60 4 4041 3992.8269 0.21534
11 BS_20190110_045709_raw01 / 044 Dark 10-Jan-2019 05:26:53 5 6 -60 4 4043 3994.1776 0.21304
12 BS_20190110_045709_raw01 / 045 Dark 10-Jan-2019 05:28:03 5 6 -60 4 4026 3981.1222 0.21085
12 BS_20190110_045709_raw01 / 046 Dark 10-Jan-2019 05:28:11 5 6 -60 4 8928 3985.0606 0.25736
12 BS_20190110_045709_raw01 / 045 Lite 10-Jan-2019 05:28:21 5 6 -60 4 47112 4669.5796 82.5299
12 BS_20190110_045709_raw01 / 046 Lite 10-Jan-2019 05:28:29 5 6 -60 4 47118 4672.7643 82.4996
12 BS_20190110_045709_raw01 / 047 Lite 10-Jan-2019 05:28:37 5 6 -60 4 46819 4675.1535 82.464
12 BS_20190110_045709_raw01 / 048 Lite 10-Jan-2019 05:28:44 5 6 -60 4 46851 4676.9064 82.4481
12 BS_20190110_045709_raw01 / 047 Dark 10-Jan-2019 05:28:55 5 6 -60 4 4043 3992.6296 0.2175
12 BS_20190110_045709_raw01 / 048 Dark 10-Jan-2019 05:29:03 5 6 -60 4 4040 3994.256 0.21436
13 BS_20190110_045709_raw01 / 049 Dark 10-Jan-2019 05:29:55 5 6 -60 4 4032 3982.3294 0.21124
13 BS_20190110_045709_raw01 / 050 Dark 10-Jan-2019 05:30:02 5 6 -60 4 4037 3986.1112 0.2174
13 BS_20190110_045709_raw01 / 049 Lite 10-Jan-2019 05:30:13 5 6 -60 4 46994 4670.3761 82.5267
13 BS_20190110_045709_raw01 / 050 Lite 10-Jan-2019 05:30:21 5 6 -60 4 47281 4673.4907 82.4984
13 BS_20190110_045709_raw01 / 051 Lite 10-Jan-2019 05:30:28 5 6 -60 4 46966 4675.5942 82.4687
13 BS_20190110_045709_raw01 / 052 Lite 10-Jan-2019 05:30:36 5 6 -60 4 46933 4677.1655 82.4456
13 BS_20190110_045709_raw01 / 051 Dark 10-Jan-2019 05:30:47 5 6 -60 4 4039 3992.9464 0.21799
13 BS_20190110_045709_raw01 / 052 Dark 10-Jan-2019 05:30:54 5 6 -60 4 5423 3994.4735 0.2184
14 BS_20190110_045709_raw01 / 053 Dark 10-Jan-2019 05:34:42 5 6 -60 4 4024 3980.1481 0.21197
14 BS_20190110_045709_raw01 / 054 Dark 10-Jan-2019 05:34:49 5 6 -60 4 4029 3983.5608 0.21073
14 BS_20190110_045709_raw01 / 053 Lite 10-Jan-2019 05:35:00 5 6 -60 4 46863 4668.5403 82.5229
14 BS_20190110_045709_raw01 / 054 Lite 10-Jan-2019 05:35:08 5 6 -60 4 46949 4671.027 82.4911
14 BS_20190110_045709_raw01 / 055 Lite 10-Jan-2019 05:35:15 5 6 -60 4 47099 4672.8561 82.4696
14 BS_20190110_045709_raw01 / 056 Lite 10-Jan-2019 05:35:23 5 6 -60 4 47149 4674.492 82.4497
14 BS_20190110_045709_raw01 / 055 Dark 10-Jan-2019 05:35:34 5 6 -60 4 4044 3990.6323 0.21938
14 BS_20190110_045709_raw01 / 056 Dark 10-Jan-2019 05:35:41 5 6 -60 4 4043 3992.7729 0.22086
15 BS_20190110_045709_raw01 / 057 Dark 10-Jan-2019 05:36:29 5 6 -60 4 4029 3982.8954 0.21069
15 BS_20190110_045709_raw01 / 058 Dark 10-Jan-2019 05:36:37 5 6 -60 4 4035 3985.9741 0.2121
15 BS_20190110_045709_raw01 / 057 Lite 10-Jan-2019 05:36:47 5 6 -60 4 47041 4670.5123 82.502
15 BS_20190110_045709_raw01 / 058 Lite 10-Jan-2019 05:36:55 5 6 -60 4 46906 4672.8945 82.4736
15 BS_20190110_045709_raw01 / 059 Lite 10-Jan-2019 05:37:03 5 6 -60 4 46935 4674.5731 82.4486
15 BS_20190110_045709_raw01 / 060 Lite 10-Jan-2019 05:37:10 5 6 -60 4 47052 4676.0248 82.4329
15 BS_20190110_045709_raw01 / 059 Dark 10-Jan-2019 05:37:21 5 6 -60 4 4042 3992.0128 0.22094
15 BS_20190110_045709_raw01 / 060 Dark 10-Jan-2019 05:37:29 5 6 -60 4 4043 3994.0319 0.22
16 BS_20190110_045709_raw01 / 061 Dark 10-Jan-2019 05:38:14 5 6 -60 4 4033 3983.2157 0.2116
16 BS_20190110_045709_raw01 / 062 Dark 10-Jan-2019 05:38:22 5 6 -60 4 4032 3986.2843 0.21192
16 BS_20190110_045709_raw01 / 061 Lite 10-Jan-2019 05:38:33 5 6 -60 4 47138 4670.9467 82.5028
16 BS_20190110_045709_raw01 / 062 Lite 10-Jan-2019 05:38:40 5 6 -60 4 46863 4673.1986 82.4838
16 BS_20190110_045709_raw01 / 063 Lite 10-Jan-2019 05:38:48 5 6 -60 4 47070 4674.7003 82.4563
16 BS_20190110_045709_raw01 / 064 Lite 10-Jan-2019 05:38:56 5 6 -60 4 46861 4676.352 82.4469
16 BS_20190110_045709_raw01 / 063 Dark 10-Jan-2019 05:39:06 5 6 -60 4 4043 3991.8359 0.21964
16 BS_20190110_045709_raw01 / 064 Dark 10-Jan-2019 05:39:14 5 6 -60 4 4046 3993.8899 0.22086
17 BS_20190110_045709_raw01 / 065 Dark 10-Jan-2019 05:40:01 5 6 -60 4 4036 3983.319 0.21162
17 BS_20190110_045709_raw01 / 066 Dark 10-Jan-2019 05:40:09 5 6 -60 4 4034 3986.5555 0.21138
17 BS_20190110_045709_raw01 / 065 Lite 10-Jan-2019 05:40:19 5 6 -60 4 46954 4671.04 82.5023
17 BS_20190110_045709_raw01 / 066 Lite 10-Jan-2019 05:40:27 5 6 -60 4 47006 4673.2362 82.4757
17 BS_20190110_045709_raw01 / 067 Lite 10-Jan-2019 05:40:35 5 6 -60 4 47019 4674.6419 82.4603
17 BS_20190110_045709_raw01 / 068 Lite 10-Jan-2019 05:40:42 5 6 -60 4 47013 4675.8994 82.4443
17 BS_20190110_045709_raw01 / 067 Dark 10-Jan-2019 05:40:53 5 6 -60 4 4042 3991.6534 0.21912
17 BS_20190110_045709_raw01 / 068 Dark 10-Jan-2019 05:41:01 5 6 -60 4 4045 3993.4926 0.22045
Grouped Image file: BS_20190110_N001_grouped.html
Grouped Image file: BS_20190110_N002_grouped.html
Grouped Image file: BS_20190110_N003_grouped.html
Grouped Image file: BS_20190110_N005_grouped.html
Grouped Image file: BS_20190110_N006_grouped.html
Grouped Image file: BS_20190110_N007_grouped.html
Grouped Image file: BS_20190110_N009_grouped.html
Grouped Image file: BS_20190110_N020_grouped.html
Grouped Image file: BS_20190110_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.


pwd: E:\zflora\mldata2\mobyrefresh\characterization\Hawaii-2019-01\BS3cal
Date: 28-Jan-2019 10:38:40
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