BS_20190119_032025_raw01 - Day 8

REVISION DATE: 28-Jan-2019 10:44:50

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_20190119_032025_raw01 / 001 Dark 19-Jan-2019 03:20:25 15 9 -60 4 5821 4000.0175 0.22768
1 BS_20190119_032025_raw01 / 002 Dark 19-Jan-2019 03:20:43 15 9 -60 4 4085 4003.052 0.22149
1 BS_20190119_032025_raw01 / 001 Lite 19-Jan-2019 03:21:04 15 9 -60 4 26066 4445.6023 52.0849
1 BS_20190119_032025_raw01 / 002 Lite 19-Jan-2019 03:21:21 15 9 -60 4 25955 4446.9582 52.0846
1 BS_20190119_032025_raw01 / 003 Lite 19-Jan-2019 03:21:39 15 9 -60 4 25963 4447.5043 52.0779
1 BS_20190119_032025_raw01 / 004 Lite 19-Jan-2019 03:21:56 15 9 -60 4 25819 4447.9079 52.0833
1 BS_20190119_032025_raw01 / 003 Dark 19-Jan-2019 03:22:17 15 9 -60 4 4061 4005.0654 0.22519
1 BS_20190119_032025_raw01 / 004 Dark 19-Jan-2019 03:22:35 15 9 -60 4 4079 4005.3516 0.22618
2 BS_20190119_032025_raw01 / 005 Dark 19-Jan-2019 03:23:06 15 9 -60 4 4061 4003.1243 0.22311
2 BS_20190119_032025_raw01 / 006 Dark 19-Jan-2019 03:23:23 15 9 -60 4 4071 4004.8169 0.22481
2 BS_20190119_032025_raw01 / 005 Lite 19-Jan-2019 03:23:44 15 9 -60 4 25886 4446.7842 52.0851
2 BS_20190119_032025_raw01 / 006 Lite 19-Jan-2019 03:24:02 15 9 -60 4 25839 4447.3886 52.0811
2 BS_20190119_032025_raw01 / 007 Lite 19-Jan-2019 03:24:19 15 9 -60 4 25830 4447.8727 52.0785
2 BS_20190119_032025_raw01 / 008 Lite 19-Jan-2019 03:24:37 15 9 -60 4 25808 4447.9586 52.0806
2 BS_20190119_032025_raw01 / 007 Dark 19-Jan-2019 03:24:58 15 9 -60 4 4058 4005.0968 0.22593
2 BS_20190119_032025_raw01 / 008 Dark 19-Jan-2019 03:25:16 15 9 -60 4 4065 4005.5533 0.22662
3 BS_20190119_032025_raw01 / 009 Dark 19-Jan-2019 03:25:44 15 9 -60 4 5669 4003.6048 0.23517
3 BS_20190119_032025_raw01 / 010 Dark 19-Jan-2019 03:26:01 15 9 -60 4 4060 4004.8881 0.22539
3 BS_20190119_032025_raw01 / 009 Lite 19-Jan-2019 03:26:22 15 9 -60 4 25804 4446.8136 52.0789
3 BS_20190119_032025_raw01 / 010 Lite 19-Jan-2019 03:26:40 15 9 -60 4 25891 4447.4001 52.0758
3 BS_20190119_032025_raw01 / 011 Lite 19-Jan-2019 03:26:57 15 9 -60 4 25887 4447.7018 52.0773
3 BS_20190119_032025_raw01 / 012 Lite 19-Jan-2019 03:27:15 15 9 -60 4 26009 4447.9678 52.0763
3 BS_20190119_032025_raw01 / 011 Dark 19-Jan-2019 03:27:36 15 9 -60 4 4850 4005.2628 0.23382
3 BS_20190119_032025_raw01 / 012 Dark 19-Jan-2019 03:27:54 15 9 -60 4 4060 4005.6866 0.22626
4 BS_20190119_032025_raw01 / 013 Dark 19-Jan-2019 03:28:57 15 9 -60 4 4058 4000.2638 0.22116
4 BS_20190119_032025_raw01 / 014 Dark 19-Jan-2019 03:29:15 15 9 -60 4 4078 4003.4156 0.22231
4 BS_20190119_032025_raw01 / 013 Lite 19-Jan-2019 03:29:35 15 9 -60 4 26069 4446.0758 52.0808
4 BS_20190119_032025_raw01 / 014 Lite 19-Jan-2019 03:29:53 15 9 -60 4 26059 4447.2076 52.0758
4 BS_20190119_032025_raw01 / 015 Lite 19-Jan-2019 03:30:11 15 9 -60 4 25920 4447.714 52.0739
4 BS_20190119_032025_raw01 / 016 Lite 19-Jan-2019 03:30:28 15 9 -60 4 26046 4448.0705 52.0732
4 BS_20190119_032025_raw01 / 015 Dark 19-Jan-2019 03:30:49 15 9 -60 4 7263 4005.4619 0.24512
4 BS_20190119_032025_raw01 / 016 Dark 19-Jan-2019 03:31:07 15 9 -60 4 4081 4006.0026 0.22598
5 BS_20190119_032025_raw01 / 017 Dark 19-Jan-2019 03:38:57 15 9 -60 4 4062 3995.8212 0.22666
5 BS_20190119_032025_raw01 / 018 Dark 19-Jan-2019 03:39:14 15 9 -60 4 4061 4003.1478 0.22066
5 BS_20190119_032025_raw01 / 017 Lite 19-Jan-2019 03:39:35 15 9 -60 4 25971 4446.2956 52.0673
5 BS_20190119_032025_raw01 / 018 Lite 19-Jan-2019 03:39:53 15 9 -60 4 25775 4447.4473 52.0558
5 BS_20190119_032025_raw01 / 019 Lite 19-Jan-2019 03:40:11 15 9 -60 4 25955 4448.2089 52.0569
5 BS_20190119_032025_raw01 / 020 Lite 19-Jan-2019 03:40:28 15 9 -60 4 26029 4448.5057 52.0638
5 BS_20190119_032025_raw01 / 019 Dark 19-Jan-2019 03:40:49 15 9 -60 4 4069 4005.8554 0.22378
5 BS_20190119_032025_raw01 / 020 Dark 19-Jan-2019 03:41:07 15 9 -60 4 4066 4006.3763 0.22465
6 BS_20190119_032025_raw01 / 021 Dark 19-Jan-2019 03:41:43 15 9 -60 4 4077 4003.1377 0.22156
6 BS_20190119_032025_raw01 / 022 Dark 19-Jan-2019 03:42:01 15 9 -60 4 4057 4004.9493 0.22331
6 BS_20190119_032025_raw01 / 021 Lite 19-Jan-2019 03:42:22 15 9 -60 4 25859 4447.0177 52.067
6 BS_20190119_032025_raw01 / 022 Lite 19-Jan-2019 03:42:39 15 9 -60 4 25873 4447.791 52.0646
6 BS_20190119_032025_raw01 / 023 Lite 19-Jan-2019 03:42:57 15 9 -60 4 25916 4448.5293 52.0674
6 BS_20190119_032025_raw01 / 024 Lite 19-Jan-2019 03:43:15 15 9 -60 4 25950 4448.7696 52.0684
6 BS_20190119_032025_raw01 / 023 Dark 19-Jan-2019 03:43:35 15 9 -60 4 4067 4005.9214 0.2247
6 BS_20190119_032025_raw01 / 024 Dark 19-Jan-2019 03:43:53 15 9 -60 4 4093 4006.3504 0.22492
7 BS_20190119_032025_raw01 / 025 Dark 19-Jan-2019 03:45:00 15 9 -60 4 4082 4000.1055 0.2233
7 BS_20190119_032025_raw01 / 026 Dark 19-Jan-2019 03:45:18 15 9 -60 4 4072 4003.9989 0.22117
7 BS_20190119_032025_raw01 / 025 Lite 19-Jan-2019 03:45:39 15 9 -60 4 25826 4446.8197 52.0747
7 BS_20190119_032025_raw01 / 026 Lite 19-Jan-2019 03:45:56 15 9 -60 4 25838 4447.7563 52.0658
7 BS_20190119_032025_raw01 / 027 Lite 19-Jan-2019 03:46:14 15 9 -60 4 25889 4448.3853 52.0635
7 BS_20190119_032025_raw01 / 028 Lite 19-Jan-2019 03:46:32 15 9 -60 4 25918 4448.6895 52.0666
7 BS_20190119_032025_raw01 / 027 Dark 19-Jan-2019 03:46:53 15 9 -60 4 4067 4006.0826 0.22434
7 BS_20190119_032025_raw01 / 028 Dark 19-Jan-2019 03:47:10 15 9 -60 4 4081 4006.5685 0.22492
8 BS_20190119_032025_raw01 / 029 Dark 19-Jan-2019 03:47:58 15 9 -60 4 4062 4002.1007 0.22125
8 BS_20190119_032025_raw01 / 030 Dark 19-Jan-2019 03:48:16 15 9 -60 4 4969 4004.7219 0.22383
8 BS_20190119_032025_raw01 / 029 Lite 19-Jan-2019 03:48:37 15 9 -60 4 25985 4447.2595 52.0703
8 BS_20190119_032025_raw01 / 030 Lite 19-Jan-2019 03:48:54 15 9 -60 4 26029 4448.0627 52.0639
8 BS_20190119_032025_raw01 / 031 Lite 19-Jan-2019 03:49:12 15 9 -60 4 25885 4448.6545 52.0707
8 BS_20190119_032025_raw01 / 032 Lite 19-Jan-2019 03:49:30 15 9 -60 4 25854 4448.8453 52.0725
8 BS_20190119_032025_raw01 / 031 Dark 19-Jan-2019 03:49:51 15 9 -60 4 4064 4006.0111 0.22426
8 BS_20190119_032025_raw01 / 032 Dark 19-Jan-2019 03:50:08 15 9 -60 4 5261 4006.4448 0.22949
9 BS_20190119_032025_raw01 / 033 Dark 19-Jan-2019 03:54:02 15 9 -60 4 6618 3995.4797 0.23715
9 BS_20190119_032025_raw01 / 034 Dark 19-Jan-2019 03:54:20 15 9 -60 4 7287 4003.4588 0.24433
9 BS_20190119_032025_raw01 / 033 Lite 19-Jan-2019 03:54:41 15 9 -60 4 25803 4447.1947 52.1001
9 BS_20190119_032025_raw01 / 034 Lite 19-Jan-2019 03:54:58 15 9 -60 4 25834 4448.5106 52.1097
9 BS_20190119_032025_raw01 / 035 Lite 19-Jan-2019 03:55:16 15 9 -60 4 25846 4449.1238 52.1022
9 BS_20190119_032025_raw01 / 036 Lite 19-Jan-2019 03:55:34 15 9 -60 4 25848 4449.4249 52.1016
9 BS_20190119_032025_raw01 / 035 Dark 19-Jan-2019 03:55:55 15 9 -60 4 7612 4006.2509 0.24463
9 BS_20190119_032025_raw01 / 036 Dark 19-Jan-2019 03:56:12 15 9 -60 4 5916 4006.8118 0.22957
10 BS_20190119_032025_raw01 / 037 Dark 19-Jan-2019 03:57:06 15 9 -60 4 5938 4001.6063 0.23173
10 BS_20190119_032025_raw01 / 038 Dark 19-Jan-2019 03:57:24 15 9 -60 4 8996 4004.7265 0.28223
10 BS_20190119_032025_raw01 / 037 Lite 19-Jan-2019 03:57:45 15 9 -60 4 25817 4447.8456 52.1126
10 BS_20190119_032025_raw01 / 038 Lite 19-Jan-2019 03:58:02 15 9 -60 4 25808 4448.757 52.1065
10 BS_20190119_032025_raw01 / 039 Lite 19-Jan-2019 03:58:20 15 9 -60 4 25807 4449.2933 52.104
10 BS_20190119_032025_raw01 / 040 Lite 19-Jan-2019 03:58:37 15 9 -60 4 25978 4449.6303 52.1064
10 BS_20190119_032025_raw01 / 039 Dark 19-Jan-2019 03:58:58 15 9 -60 4 8584 4006.4179 0.26416
10 BS_20190119_032025_raw01 / 040 Dark 19-Jan-2019 03:59:16 15 9 -60 4 10043 4006.922 0.30607
11 BS_20190119_032025_raw01 / 041 Dark 19-Jan-2019 03:59:47 15 9 -60 4 5216 4004.3385 0.23114
11 BS_20190119_032025_raw01 / 042 Dark 19-Jan-2019 04:00:05 15 9 -60 4 9438 4006.0007 0.34698
11 BS_20190119_032025_raw01 / 041 Lite 19-Jan-2019 04:00:25 15 9 -60 4 25985 4448.5428 52.1084
11 BS_20190119_032025_raw01 / 042 Lite 19-Jan-2019 04:00:43 15 9 -60 4 26062 4449.1774 52.104
11 BS_20190119_032025_raw01 / 043 Lite 19-Jan-2019 04:01:01 15 9 -60 4 25781 4449.3675 52.0994
11 BS_20190119_032025_raw01 / 044 Lite 19-Jan-2019 04:01:18 15 9 -60 4 25816 4449.5376 52.1128
11 BS_20190119_032025_raw01 / 043 Dark 19-Jan-2019 04:01:39 15 9 -60 4 6112 4006.5823 0.25252
11 BS_20190119_032025_raw01 / 044 Dark 19-Jan-2019 04:01:57 15 9 -60 4 4060 4006.9393 0.22441
12 BS_20190119_032025_raw01 / 045 Dark 19-Jan-2019 04:03:09 15 9 -60 4 4073 3999.4624 0.22781
12 BS_20190119_032025_raw01 / 046 Dark 19-Jan-2019 04:03:27 15 9 -60 4 4053 4004.3988 0.22139
12 BS_20190119_032025_raw01 / 045 Lite 19-Jan-2019 04:03:47 15 9 -60 4 26088 4447.6912 52.1115
12 BS_20190119_032025_raw01 / 046 Lite 19-Jan-2019 04:04:05 15 9 -60 4 25763 4448.6863 52.1027
12 BS_20190119_032025_raw01 / 047 Lite 19-Jan-2019 04:04:23 15 9 -60 4 26024 4449.196 52.1075
12 BS_20190119_032025_raw01 / 048 Lite 19-Jan-2019 04:04:40 15 9 -60 4 26108 4449.6164 52.1082
12 BS_20190119_032025_raw01 / 047 Dark 19-Jan-2019 04:05:01 15 9 -60 4 4070 4006.4331 0.22392
12 BS_20190119_032025_raw01 / 048 Dark 19-Jan-2019 04:05:19 15 9 -60 4 4074 4006.997 0.22455
13 BS_20190119_032025_raw01 / 049 Dark 19-Jan-2019 04:23:11 15 9 -60 4 4052 3995.0089 0.22086
13 BS_20190119_032025_raw01 / 050 Dark 19-Jan-2019 04:23:29 15 9 -60 4 4063 4003.5486 0.22389
13 BS_20190119_032025_raw01 / 049 Lite 19-Jan-2019 04:23:50 15 9 -60 4 24646 4420.9714 49.1972
13 BS_20190119_032025_raw01 / 050 Lite 19-Jan-2019 04:24:07 15 9 -60 4 24726 4422.4595 49.1909
13 BS_20190119_032025_raw01 / 051 Lite 19-Jan-2019 04:24:25 15 9 -60 4 24638 4423.141 49.1906
13 BS_20190119_032025_raw01 / 052 Lite 19-Jan-2019 04:24:43 15 9 -60 4 24546 4423.5731 49.1962
13 BS_20190119_032025_raw01 / 051 Dark 19-Jan-2019 04:25:03 15 9 -60 4 4058 4006.9535 0.22264
13 BS_20190119_032025_raw01 / 052 Dark 19-Jan-2019 04:25:21 15 9 -60 4 5505 4007.3801 0.22904
14 BS_20190119_032025_raw01 / 053 Dark 19-Jan-2019 04:25:52 15 9 -60 4 4074 4005.1182 0.22102
14 BS_20190119_032025_raw01 / 054 Dark 19-Jan-2019 04:26:10 15 9 -60 4 4063 4006.633 0.22224
14 BS_20190119_032025_raw01 / 053 Lite 19-Jan-2019 04:26:31 15 9 -60 4 24628 4422.6326 49.2108
14 BS_20190119_032025_raw01 / 054 Lite 19-Jan-2019 04:26:48 15 9 -60 4 24568 4423.2627 49.2107
14 BS_20190119_032025_raw01 / 055 Lite 19-Jan-2019 04:27:06 15 9 -60 4 24514 4423.7021 49.2098
14 BS_20190119_032025_raw01 / 056 Lite 19-Jan-2019 04:27:24 15 9 -60 4 24655 4423.9654 49.2082
14 BS_20190119_032025_raw01 / 055 Dark 19-Jan-2019 04:27:45 15 9 -60 4 6134 4006.9855 0.2359
14 BS_20190119_032025_raw01 / 056 Dark 19-Jan-2019 04:28:02 15 9 -60 4 4069 4007.4453 0.22393
15 BS_20190119_032025_raw01 / 057 Dark 19-Jan-2019 04:28:53 15 9 -60 4 6132 4002.0858 0.24663
15 BS_20190119_032025_raw01 / 058 Dark 19-Jan-2019 04:29:11 15 9 -60 4 4056 4005.5173 0.22176
15 BS_20190119_032025_raw01 / 057 Lite 19-Jan-2019 04:29:32 15 9 -60 4 24652 4422.0883 49.22
15 BS_20190119_032025_raw01 / 058 Lite 19-Jan-2019 04:29:49 15 9 -60 4 24494 4422.9197 49.2133
15 BS_20190119_032025_raw01 / 059 Lite 19-Jan-2019 04:30:07 15 9 -60 4 24461 4423.3823 49.2133
15 BS_20190119_032025_raw01 / 060 Lite 19-Jan-2019 04:30:24 15 9 -60 4 24685 4423.8184 49.2152
15 BS_20190119_032025_raw01 / 059 Dark 19-Jan-2019 04:30:45 15 9 -60 4 5058 4006.8381 0.22483
15 BS_20190119_032025_raw01 / 060 Dark 19-Jan-2019 04:31:03 15 9 -60 4 10465 4007.4046 0.33212
16 BS_20190119_032025_raw01 / 061 Dark 19-Jan-2019 04:31:53 15 9 -60 4 5303 4002.1726 0.23048
16 BS_20190119_032025_raw01 / 062 Dark 19-Jan-2019 04:32:11 15 9 -60 4 8694 4005.6382 0.26792
16 BS_20190119_032025_raw01 / 061 Lite 19-Jan-2019 04:32:32 15 9 -60 4 24726 4422.0426 49.2135
16 BS_20190119_032025_raw01 / 062 Lite 19-Jan-2019 04:32:49 15 9 -60 4 24580 4422.9684 49.2081
16 BS_20190119_032025_raw01 / 063 Lite 19-Jan-2019 04:33:07 15 9 -60 4 24493 4423.5174 49.2068
16 BS_20190119_032025_raw01 / 064 Lite 19-Jan-2019 04:33:25 15 9 -60 4 24571 4423.7611 49.2137
16 BS_20190119_032025_raw01 / 063 Dark 19-Jan-2019 04:33:45 15 9 -60 4 4072 4007.0617 0.22312
16 BS_20190119_032025_raw01 / 064 Dark 19-Jan-2019 04:34:03 15 9 -60 4 4085 4007.498 0.22329
17 BS_20190119_032025_raw01 / 065 Dark 19-Jan-2019 04:41:21 15 9 -60 4 4727 3994.9942 0.22342
17 BS_20190119_032025_raw01 / 066 Dark 19-Jan-2019 04:41:39 15 9 -60 4 4062 4003.2574 0.2259
17 BS_20190119_032025_raw01 / 065 Lite 19-Jan-2019 04:42:00 15 9 -60 4 24469 4421.3139 49.2316
17 BS_20190119_032025_raw01 / 066 Lite 19-Jan-2019 04:42:17 15 9 -60 4 24736 4422.9319 49.2201
17 BS_20190119_032025_raw01 / 067 Lite 19-Jan-2019 04:42:35 15 9 -60 4 24594 4423.5348 49.2201
17 BS_20190119_032025_raw01 / 068 Lite 19-Jan-2019 04:42:52 15 9 -60 4 24628 4424.1846 49.225
17 BS_20190119_032025_raw01 / 067 Dark 19-Jan-2019 04:43:13 15 9 -60 4 4090 4007.3333 0.22207
17 BS_20190119_032025_raw01 / 068 Dark 19-Jan-2019 04:43:31 15 9 -60 4 4068 4007.7761 0.22267
18 BS_20190119_032025_raw01 / 069 Dark 19-Jan-2019 04:44:11 15 9 -60 4 4064 4003.9025 0.22319
18 BS_20190119_032025_raw01 / 070 Dark 19-Jan-2019 04:44:29 15 9 -60 4 4066 4006.4337 0.22153
18 BS_20190119_032025_raw01 / 069 Lite 19-Jan-2019 04:44:50 15 9 -60 4 24718 4422.768 49.2299
18 BS_20190119_032025_raw01 / 070 Lite 19-Jan-2019 04:45:07 15 9 -60 4 24556 4423.5484 49.2263
18 BS_20190119_032025_raw01 / 071 Lite 19-Jan-2019 04:45:25 15 9 -60 4 24584 4423.9455 49.2233
18 BS_20190119_032025_raw01 / 072 Lite 19-Jan-2019 04:45:42 15 9 -60 4 24720 4424.1861 49.2314
18 BS_20190119_032025_raw01 / 071 Dark 19-Jan-2019 04:46:03 15 9 -60 4 4079 4007.2122 0.22263
18 BS_20190119_032025_raw01 / 072 Dark 19-Jan-2019 04:46:21 15 9 -60 4 4075 4007.7138 0.22298
19 BS_20190119_032025_raw01 / 073 Dark 19-Jan-2019 04:46:51 15 9 -60 4 7841 4005.4715 0.24123
19 BS_20190119_032025_raw01 / 074 Dark 19-Jan-2019 04:47:09 15 9 -60 4 4067 4006.9728 0.22199
19 BS_20190119_032025_raw01 / 073 Lite 19-Jan-2019 04:47:29 15 9 -60 4 24490 4423.0992 49.2304
19 BS_20190119_032025_raw01 / 074 Lite 19-Jan-2019 04:47:47 15 9 -60 4 24620 4423.5514 49.2263
19 BS_20190119_032025_raw01 / 075 Lite 19-Jan-2019 04:48:05 15 9 -60 4 24609 4424.011 49.2298
19 BS_20190119_032025_raw01 / 076 Lite 19-Jan-2019 04:48:22 15 9 -60 4 24793 4424.2066 49.2341
19 BS_20190119_032025_raw01 / 075 Dark 19-Jan-2019 04:48:43 15 9 -60 4 4071 4007.2709 0.22275
19 BS_20190119_032025_raw01 / 076 Dark 19-Jan-2019 04:49:01 15 9 -60 4 7026 4007.6574 0.25161
20 BS_20190119_032025_raw01 / 077 Dark 19-Jan-2019 04:49:37 15 9 -60 4 8450 4004.4986 0.26779
20 BS_20190119_032025_raw01 / 078 Dark 19-Jan-2019 04:49:55 15 9 -60 4 4075 4006.4886 0.22175
20 BS_20190119_032025_raw01 / 077 Lite 19-Jan-2019 04:50:15 15 9 -60 4 24639 4422.8928 49.2301
20 BS_20190119_032025_raw01 / 078 Lite 19-Jan-2019 04:50:33 15 9 -60 4 24609 4423.4797 49.2325
20 BS_20190119_032025_raw01 / 079 Lite 19-Jan-2019 04:50:51 15 9 -60 4 24782 4423.9484 49.2266
20 BS_20190119_032025_raw01 / 080 Lite 19-Jan-2019 04:51:08 15 9 -60 4 24552 4424.2099 49.2306
20 BS_20190119_032025_raw01 / 079 Dark 19-Jan-2019 04:51:29 15 9 -60 4 5689 4007.3217 0.23375
20 BS_20190119_032025_raw01 / 080 Dark 19-Jan-2019 04:51:47 15 9 -60 4 4063 4007.7002 0.223
21 BS_20190119_032025_raw01 / 081 Dark 19-Jan-2019 04:57:14 15 9 -60 4 4044 3994.9322 0.2188
21 BS_20190119_032025_raw01 / 082 Dark 19-Jan-2019 04:57:31 15 9 -60 4 9463 4003.1333 0.26975
21 BS_20190119_032025_raw01 / 081 Lite 19-Jan-2019 04:57:52 15 9 -60 4 24696 4421.7839 49.2644
21 BS_20190119_032025_raw01 / 082 Lite 19-Jan-2019 04:58:10 15 9 -60 4 24571 4423.5201 49.2573
21 BS_20190119_032025_raw01 / 083 Lite 19-Jan-2019 04:58:28 15 9 -60 4 24588 4424.4684 49.2591
21 BS_20190119_032025_raw01 / 084 Lite 19-Jan-2019 04:58:45 15 9 -60 4 24535 4424.7374 49.267
21 BS_20190119_032025_raw01 / 083 Dark 19-Jan-2019 04:59:06 15 9 -60 4 4069 4007.4006 0.22228
21 BS_20190119_032025_raw01 / 084 Dark 19-Jan-2019 04:59:24 15 9 -60 4 11658 4007.8988 0.34176
22 BS_20190119_032025_raw01 / 085 Dark 19-Jan-2019 05:00:03 15 9 -60 4 5807 4003.9638 0.22932
22 BS_20190119_032025_raw01 / 086 Dark 19-Jan-2019 05:00:20 15 9 -60 4 4694 4006.5498 0.22296
22 BS_20190119_032025_raw01 / 085 Lite 19-Jan-2019 05:00:41 15 9 -60 4 24499 4423.3955 49.2689
22 BS_20190119_032025_raw01 / 086 Lite 19-Jan-2019 05:00:59 15 9 -60 4 24556 4424.1468 49.2661
22 BS_20190119_032025_raw01 / 087 Lite 19-Jan-2019 05:01:17 15 9 -60 4 24509 4424.5649 49.2636
22 BS_20190119_032025_raw01 / 088 Lite 19-Jan-2019 05:01:34 15 9 -60 4 24585 4425.0069 49.2711
22 BS_20190119_032025_raw01 / 087 Dark 19-Jan-2019 05:01:55 15 9 -60 4 5102 4007.4828 0.22775
22 BS_20190119_032025_raw01 / 088 Dark 19-Jan-2019 05:02:13 15 9 -60 4 4079 4007.8606 0.22294
23 BS_20190119_032025_raw01 / 089 Dark 19-Jan-2019 05:02:43 15 9 -60 4 4074 4005.5596 0.22157
23 BS_20190119_032025_raw01 / 090 Dark 19-Jan-2019 05:03:01 15 9 -60 4 4060 4007.032 0.22151
23 BS_20190119_032025_raw01 / 089 Lite 19-Jan-2019 05:03:22 15 9 -60 4 24570 4423.879 49.2757
23 BS_20190119_032025_raw01 / 090 Lite 19-Jan-2019 05:03:39 15 9 -60 4 24574 4424.5377 49.2729
23 BS_20190119_032025_raw01 / 091 Lite 19-Jan-2019 05:03:57 15 9 -60 4 24674 4424.9616 49.2746
23 BS_20190119_032025_raw01 / 092 Lite 19-Jan-2019 05:04:15 15 9 -60 4 24510 4425.0831 49.2781
23 BS_20190119_032025_raw01 / 091 Dark 19-Jan-2019 05:04:35 15 9 -60 4 4082 4007.4953 0.22254
23 BS_20190119_032025_raw01 / 092 Dark 19-Jan-2019 05:04:53 15 9 -60 4 6962 4007.8557 0.25699
24 BS_20190119_032025_raw01 / 093 Dark 19-Jan-2019 05:05:27 15 9 -60 4 4068 4004.9886 0.22177
24 BS_20190119_032025_raw01 / 094 Dark 19-Jan-2019 05:05:44 15 9 -60 4 4063 4006.841 0.22192
24 BS_20190119_032025_raw01 / 093 Lite 19-Jan-2019 05:06:05 15 9 -60 4 24563 4423.6729 49.2794
24 BS_20190119_032025_raw01 / 094 Lite 19-Jan-2019 05:06:23 15 9 -60 4 24527 4424.4612 49.2763
24 BS_20190119_032025_raw01 / 095 Lite 19-Jan-2019 05:06:40 15 9 -60 4 24502 4424.8277 49.2775
24 BS_20190119_032025_raw01 / 096 Lite 19-Jan-2019 05:06:58 15 9 -60 4 24626 4425.0842 49.2762
24 BS_20190119_032025_raw01 / 095 Dark 19-Jan-2019 05:07:19 15 9 -60 4 4067 4007.4638 0.2224
24 BS_20190119_032025_raw01 / 096 Dark 19-Jan-2019 05:07:36 15 9 -60 4 5102 4007.9205 0.2316
Grouped Image file: BS_20190119_N001_grouped.html
Grouped Image file: BS_20190119_N002_grouped.html
Grouped Image file: BS_20190119_N003_grouped.html
Grouped Image file: BS_20190119_N005_grouped.html
Grouped Image file: BS_20190119_N006_grouped.html
Grouped Image file: BS_20190119_N007_grouped.html
Grouped Image file: BS_20190119_N009_grouped.html
Grouped Image file: BS_20190119_N020_grouped.html
Grouped Image file: BS_20190119_N022_grouped.html
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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.

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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.

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.

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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.

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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.


pwd: E:\zflora\mldata2\mobyrefresh\characterization\Hawaii-2019-01\BS3cal
Date: 28-Jan-2019 10:45:11
Created from mkhtml2_(1)