RS_20190110_045717_raw01 - Day 1

REVISION DATE: 28-Jan-2019 12:47:04

Exerimental BS or RS data starting to put data into new Vaux setup.

Table caption: RS04 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 RS_20190110_045717_raw01 / 001 Dark 10-Jan-2019 04:57:17 5 6 -60 4 3707 3663.5903 0.21139
1 RS_20190110_045717_raw01 / 002 Dark 10-Jan-2019 04:57:25 5 6 -60 4 3707 3663.3606 0.21156
1 RS_20190110_045717_raw01 / 001 Lite 10-Jan-2019 04:57:43 5 6 -60 4 32388 4364.2179 79.8857
1 RS_20190110_045717_raw01 / 002 Lite 10-Jan-2019 04:57:50 5 6 -60 4 32496 4363.9108 79.9262
1 RS_20190110_045717_raw01 / 003 Lite 10-Jan-2019 04:57:58 5 6 -60 4 32493 4363.7215 79.9029
1 RS_20190110_045717_raw01 / 004 Lite 10-Jan-2019 04:58:06 5 6 -60 4 32483 4363.5942 79.8895
1 RS_20190110_045717_raw01 / 003 Dark 10-Jan-2019 04:58:23 5 6 -60 4 3705 3664.259 0.21143
1 RS_20190110_045717_raw01 / 004 Dark 10-Jan-2019 04:58:31 5 6 -60 4 3707 3663.4313 0.21163
2 RS_20190110_045717_raw01 / 005 Dark 10-Jan-2019 04:59:28 5 6 -60 4 3724 3664.1109 0.21135
2 RS_20190110_045717_raw01 / 006 Dark 10-Jan-2019 04:59:36 5 6 -60 4 5131 3663.7576 0.22913
2 RS_20190110_045717_raw01 / 005 Lite 10-Jan-2019 04:59:53 5 6 -60 4 32409 4364.6798 79.8983
2 RS_20190110_045717_raw01 / 006 Lite 10-Jan-2019 05:00:01 5 6 -60 4 32286 4364.176 79.917
2 RS_20190110_045717_raw01 / 007 Lite 10-Jan-2019 05:00:09 5 6 -60 4 32430 4364.326 79.9193
2 RS_20190110_045717_raw01 / 008 Lite 10-Jan-2019 05:00:16 5 6 -60 4 32562 4364.1413 79.8938
2 RS_20190110_045717_raw01 / 007 Dark 10-Jan-2019 05:00:34 5 6 -60 4 3724 3664.6403 0.21192
2 RS_20190110_045717_raw01 / 008 Dark 10-Jan-2019 05:00:42 5 6 -60 4 3716 3663.8747 0.21203
3 RS_20190110_045717_raw01 / 009 Dark 10-Jan-2019 05:01:23 5 6 -60 4 5391 3664.4805 0.22115
3 RS_20190110_045717_raw01 / 010 Dark 10-Jan-2019 05:01:31 5 6 -60 4 3723 3663.9999 0.21138
3 RS_20190110_045717_raw01 / 009 Lite 10-Jan-2019 05:01:48 5 6 -60 4 32390 4365.0681 79.8984
3 RS_20190110_045717_raw01 / 010 Lite 10-Jan-2019 05:01:56 5 6 -60 4 32326 4364.5738 79.9235
3 RS_20190110_045717_raw01 / 011 Lite 10-Jan-2019 05:02:04 5 6 -60 4 32296 4364.7394 79.929
3 RS_20190110_045717_raw01 / 012 Lite 10-Jan-2019 05:02:11 5 6 -60 4 32165 4364.3709 79.902
3 RS_20190110_045717_raw01 / 011 Dark 10-Jan-2019 05:02:29 5 6 -60 4 3728 3665.1131 0.21133
3 RS_20190110_045717_raw01 / 012 Dark 10-Jan-2019 05:02:37 5 6 -60 4 3725 3664.3045 0.21117
4 RS_20190110_045717_raw01 / 013 Dark 10-Jan-2019 05:03:20 5 6 -60 4 3723 3664.8389 0.21144
4 RS_20190110_045717_raw01 / 014 Dark 10-Jan-2019 05:03:27 5 6 -60 4 3707 3664.4525 0.21158
4 RS_20190110_045717_raw01 / 013 Lite 10-Jan-2019 05:03:45 5 6 -60 4 32363 4365.733 79.9078
4 RS_20190110_045717_raw01 / 014 Lite 10-Jan-2019 05:03:53 5 6 -60 4 32588 4365.1772 79.9142
4 RS_20190110_045717_raw01 / 015 Lite 10-Jan-2019 05:04:01 5 6 -60 4 32434 4365.3839 79.9228
4 RS_20190110_045717_raw01 / 016 Lite 10-Jan-2019 05:04:08 5 6 -60 4 32234 4365.0121 79.8933
4 RS_20190110_045717_raw01 / 015 Dark 10-Jan-2019 05:04:26 5 6 -60 4 3704 3665.463 0.21188
4 RS_20190110_045717_raw01 / 016 Dark 10-Jan-2019 05:04:34 5 6 -60 4 3719 3664.677 0.21125
5 RS_20190110_045717_raw01 / 017 Dark 10-Jan-2019 05:05:13 5 6 -60 4 3714 3665.4071 0.21132
5 RS_20190110_045717_raw01 / 018 Dark 10-Jan-2019 05:05:21 5 6 -60 4 3707 3665.008 0.21161
5 RS_20190110_045717_raw01 / 017 Lite 10-Jan-2019 05:05:39 5 6 -60 4 32346 4366.3394 79.8979
5 RS_20190110_045717_raw01 / 018 Lite 10-Jan-2019 05:05:47 5 6 -60 4 32516 4365.8205 79.9181
5 RS_20190110_045717_raw01 / 019 Lite 10-Jan-2019 05:05:54 5 6 -60 4 32242 4365.8497 79.917
5 RS_20190110_045717_raw01 / 020 Lite 10-Jan-2019 05:06:02 5 6 -60 4 32247 4365.6855 79.8839
5 RS_20190110_045717_raw01 / 019 Dark 10-Jan-2019 05:06:20 5 6 -60 4 3703 3665.9119 0.21169
5 RS_20190110_045717_raw01 / 020 Dark 10-Jan-2019 05:06:27 5 6 -60 4 3736 3665.3122 0.21141
6 RS_20190110_045717_raw01 / 021 Dark 10-Jan-2019 05:10:49 5 6 -60 4 5520 3665.9854 0.22045
6 RS_20190110_045717_raw01 / 022 Dark 10-Jan-2019 05:10:57 5 6 -60 4 3718 3666.2213 0.21166
6 RS_20190110_045717_raw01 / 021 Lite 10-Jan-2019 05:11:15 5 6 -60 4 32325 4367.3123 79.8774
6 RS_20190110_045717_raw01 / 022 Lite 10-Jan-2019 05:11:22 5 6 -60 4 32322 4367.3091 79.8952
6 RS_20190110_045717_raw01 / 023 Lite 10-Jan-2019 05:11:30 5 6 -60 4 32322 4367.2997 79.8987
6 RS_20190110_045717_raw01 / 024 Lite 10-Jan-2019 05:11:38 5 6 -60 4 32417 4367.0669 79.8638
6 RS_20190110_045717_raw01 / 023 Dark 10-Jan-2019 05:11:55 5 6 -60 4 3719 3667.31 0.21132
6 RS_20190110_045717_raw01 / 024 Dark 10-Jan-2019 05:12:03 5 6 -60 4 4548 3666.7253 0.21489
7 RS_20190110_045717_raw01 / 025 Dark 10-Jan-2019 05:13:11 5 6 -60 4 4606 3666.3751 0.21464
7 RS_20190110_045717_raw01 / 026 Dark 10-Jan-2019 05:13:18 5 6 -60 4 3706 3666.4438 0.21128
7 RS_20190110_045717_raw01 / 025 Lite 10-Jan-2019 05:13:36 5 6 -60 4 32339 4367.8386 79.883
7 RS_20190110_045717_raw01 / 026 Lite 10-Jan-2019 05:13:44 5 6 -60 4 32368 4367.7418 79.8961
7 RS_20190110_045717_raw01 / 027 Lite 10-Jan-2019 05:13:51 5 6 -60 4 32356 4367.6939 79.9002
7 RS_20190110_045717_raw01 / 028 Lite 10-Jan-2019 05:13:59 5 6 -60 4 32279 4367.5967 79.8723
7 RS_20190110_045717_raw01 / 027 Dark 10-Jan-2019 05:14:17 5 6 -60 4 4628 3667.5538 0.21323
7 RS_20190110_045717_raw01 / 028 Dark 10-Jan-2019 05:14:24 5 6 -60 4 3725 3666.9203 0.2115
8 RS_20190110_045717_raw01 / 029 Dark 10-Jan-2019 05:14:56 5 6 -60 4 3711 3667.1626 0.2111
8 RS_20190110_045717_raw01 / 030 Dark 10-Jan-2019 05:15:03 5 6 -60 4 3722 3666.8879 0.21129
8 RS_20190110_045717_raw01 / 029 Lite 10-Jan-2019 05:15:21 5 6 -60 4 32482 4368.1865 79.8848
8 RS_20190110_045717_raw01 / 030 Lite 10-Jan-2019 05:15:29 5 6 -60 4 32393 4367.9592 79.8966
8 RS_20190110_045717_raw01 / 031 Lite 10-Jan-2019 05:15:36 5 6 -60 4 32483 4368.0472 79.9012
8 RS_20190110_045717_raw01 / 032 Lite 10-Jan-2019 05:15:44 5 6 -60 4 32370 4367.7114 79.8695
8 RS_20190110_045717_raw01 / 031 Dark 10-Jan-2019 05:16:02 5 6 -60 4 3718 3667.763 0.2115
8 RS_20190110_045717_raw01 / 032 Dark 10-Jan-2019 05:16:10 5 6 -60 4 3725 3667.189 0.21149
9 RS_20190110_045717_raw01 / 033 Dark 10-Jan-2019 05:16:43 5 6 -60 4 3732 3667.3976 0.2116
9 RS_20190110_045717_raw01 / 034 Dark 10-Jan-2019 05:16:50 5 6 -60 4 3706 3667.1663 0.21137
9 RS_20190110_045717_raw01 / 033 Lite 10-Jan-2019 05:17:08 5 6 -60 4 32295 4368.8136 79.8813
9 RS_20190110_045717_raw01 / 034 Lite 10-Jan-2019 05:17:16 5 6 -60 4 32270 4368.5044 79.8974
9 RS_20190110_045717_raw01 / 035 Lite 10-Jan-2019 05:17:23 5 6 -60 4 32423 4368.7148 79.9072
9 RS_20190110_045717_raw01 / 036 Lite 10-Jan-2019 05:17:31 5 6 -60 4 32265 4368.4136 79.8746
9 RS_20190110_045717_raw01 / 035 Dark 10-Jan-2019 05:17:49 5 6 -60 4 3721 3668.1292 0.21119
9 RS_20190110_045717_raw01 / 036 Dark 10-Jan-2019 05:17:56 5 6 -60 4 3712 3667.6022 0.2111
10 RS_20190110_045717_raw01 / 037 Dark 10-Jan-2019 05:23:54 5 6 -60 4 3710 3667.4004 0.21101
10 RS_20190110_045717_raw01 / 038 Dark 10-Jan-2019 05:24:01 5 6 -60 4 5520 3668.0368 0.21818
10 RS_20190110_045717_raw01 / 037 Lite 10-Jan-2019 05:24:19 5 6 -60 4 32531 4369.827 79.8934
10 RS_20190110_045717_raw01 / 038 Lite 10-Jan-2019 05:24:27 5 6 -60 4 32517 4370.0279 79.9083
10 RS_20190110_045717_raw01 / 039 Lite 10-Jan-2019 05:24:34 5 6 -60 4 32375 4370.112 79.8816
10 RS_20190110_045717_raw01 / 040 Lite 10-Jan-2019 05:24:42 5 6 -60 4 32526 4370.1872 79.8762
10 RS_20190110_045717_raw01 / 039 Dark 10-Jan-2019 05:25:00 5 6 -60 4 4708 3669.3636 0.21579
10 RS_20190110_045717_raw01 / 040 Dark 10-Jan-2019 05:25:08 5 6 -60 4 3711 3668.9314 0.21124
11 RS_20190110_045717_raw01 / 041 Dark 10-Jan-2019 05:26:01 5 6 -60 4 6575 3668.2199 0.23912
11 RS_20190110_045717_raw01 / 042 Dark 10-Jan-2019 05:26:08 5 6 -60 4 6880 3668.4304 0.22887
11 RS_20190110_045717_raw01 / 041 Lite 10-Jan-2019 05:26:26 5 6 -60 4 32236 4370.6448 79.9261
11 RS_20190110_045717_raw01 / 042 Lite 10-Jan-2019 05:26:34 5 6 -60 4 32414 4370.635 79.9345
11 RS_20190110_045717_raw01 / 043 Lite 10-Jan-2019 05:26:41 5 6 -60 4 32189 4370.6974 79.9146
11 RS_20190110_045717_raw01 / 044 Lite 10-Jan-2019 05:26:49 5 6 -60 4 32332 4370.6853 79.8921
11 RS_20190110_045717_raw01 / 043 Dark 10-Jan-2019 05:27:07 5 6 -60 4 4485 3669.5364 0.21502
11 RS_20190110_045717_raw01 / 044 Dark 10-Jan-2019 05:27:14 5 6 -60 4 3717 3669.1421 0.2112
12 RS_20190110_045717_raw01 / 045 Dark 10-Jan-2019 05:28:07 5 6 -60 4 3715 3668.4409 0.21071
12 RS_20190110_045717_raw01 / 046 Dark 10-Jan-2019 05:28:15 5 6 -60 4 4534 3668.6186 0.21777
12 RS_20190110_045717_raw01 / 045 Lite 10-Jan-2019 05:28:32 5 6 -60 4 32455 4370.8379 79.9221
12 RS_20190110_045717_raw01 / 046 Lite 10-Jan-2019 05:28:40 5 6 -60 4 32347 4370.7112 79.9277
12 RS_20190110_045717_raw01 / 047 Lite 10-Jan-2019 05:28:48 5 6 -60 4 32432 4371.06 79.9404
12 RS_20190110_045717_raw01 / 048 Lite 10-Jan-2019 05:28:55 5 6 -60 4 32509 4370.9441 79.9011
12 RS_20190110_045717_raw01 / 047 Dark 10-Jan-2019 05:29:13 5 6 -60 4 3728 3669.8889 0.21066
12 RS_20190110_045717_raw01 / 048 Dark 10-Jan-2019 05:29:21 5 6 -60 4 5804 3669.6051 0.22212
13 RS_20190110_045717_raw01 / 049 Dark 10-Jan-2019 05:29:59 5 6 -60 4 3731 3669.1107 0.21119
13 RS_20190110_045717_raw01 / 050 Dark 10-Jan-2019 05:30:06 5 6 -60 4 8452 3669.0593 0.24653
13 RS_20190110_045717_raw01 / 049 Lite 10-Jan-2019 05:30:24 5 6 -60 4 32519 4371.1809 79.9178
13 RS_20190110_045717_raw01 / 050 Lite 10-Jan-2019 05:30:32 5 6 -60 4 32338 4371.1754 79.9268
13 RS_20190110_045717_raw01 / 051 Lite 10-Jan-2019 05:30:39 5 6 -60 4 32217 4371.8324 79.9532
13 RS_20190110_045717_raw01 / 052 Lite 10-Jan-2019 05:30:47 5 6 -60 4 32384 4371.3117 79.9
13 RS_20190110_045717_raw01 / 051 Dark 10-Jan-2019 05:31:05 5 6 -60 4 3716 3670.012 0.2109
13 RS_20190110_045717_raw01 / 052 Dark 10-Jan-2019 05:31:12 5 6 -60 4 4209 3669.6788 0.21206
14 RS_20190110_045717_raw01 / 053 Dark 10-Jan-2019 05:34:46 5 6 -60 4 3710 3668.0714 0.2114
14 RS_20190110_045717_raw01 / 054 Dark 10-Jan-2019 05:34:54 5 6 -60 4 3725 3668.8195 0.2109
14 RS_20190110_045717_raw01 / 053 Lite 10-Jan-2019 05:35:11 5 6 -60 4 32460 4370.9572 79.8883
14 RS_20190110_045717_raw01 / 054 Lite 10-Jan-2019 05:35:19 5 6 -60 4 32340 4371.2184 79.9056
14 RS_20190110_045717_raw01 / 055 Lite 10-Jan-2019 05:35:27 5 6 -60 4 32440 4371.6642 79.9056
14 RS_20190110_045717_raw01 / 056 Lite 10-Jan-2019 05:35:34 5 6 -60 4 32381 4371.7452 79.8755
14 RS_20190110_045717_raw01 / 055 Dark 10-Jan-2019 05:35:52 5 6 -60 4 3726 3670.2705 0.21095
14 RS_20190110_045717_raw01 / 056 Dark 10-Jan-2019 05:36:00 5 6 -60 4 5803 3670.2009 0.22248
15 RS_20190110_045717_raw01 / 057 Dark 10-Jan-2019 05:36:33 5 6 -60 4 3730 3669.5062 0.21109
15 RS_20190110_045717_raw01 / 058 Dark 10-Jan-2019 05:36:41 5 6 -60 4 4653 3669.6921 0.21433
15 RS_20190110_045717_raw01 / 057 Lite 10-Jan-2019 05:36:59 5 6 -60 4 32382 4371.5035 79.9011
15 RS_20190110_045717_raw01 / 058 Lite 10-Jan-2019 05:37:06 5 6 -60 4 32426 4371.5602 79.9081
15 RS_20190110_045717_raw01 / 059 Lite 10-Jan-2019 05:37:14 5 6 -60 4 32675 4371.9672 79.9094
15 RS_20190110_045717_raw01 / 060 Lite 10-Jan-2019 05:37:22 5 6 -60 4 32227 4371.7734 79.867
15 RS_20190110_045717_raw01 / 059 Dark 10-Jan-2019 05:37:39 5 6 -60 4 3724 3670.4263 0.21118
15 RS_20190110_045717_raw01 / 060 Dark 10-Jan-2019 05:37:47 5 6 -60 4 3723 3670.1826 0.21122
16 RS_20190110_045717_raw01 / 061 Dark 10-Jan-2019 05:38:18 5 6 -60 4 3721 3669.7459 0.21098
16 RS_20190110_045717_raw01 / 062 Dark 10-Jan-2019 05:38:26 5 6 -60 4 3712 3669.8654 0.21085
16 RS_20190110_045717_raw01 / 061 Lite 10-Jan-2019 05:38:44 5 6 -60 4 32215 4371.7953 79.9087
16 RS_20190110_045717_raw01 / 062 Lite 10-Jan-2019 05:38:51 5 6 -60 4 32554 4371.9222 79.9132
16 RS_20190110_045717_raw01 / 063 Lite 10-Jan-2019 05:38:59 5 6 -60 4 32268 4372.1373 79.9116
16 RS_20190110_045717_raw01 / 064 Lite 10-Jan-2019 05:39:07 5 6 -60 4 32457 4372.1235 79.8732
16 RS_20190110_045717_raw01 / 063 Dark 10-Jan-2019 05:39:24 5 6 -60 4 3711 3670.6916 0.21105
16 RS_20190110_045717_raw01 / 064 Dark 10-Jan-2019 05:39:32 5 6 -60 4 12231 3670.3705 0.35513
17 RS_20190110_045717_raw01 / 065 Dark 10-Jan-2019 05:40:04 5 6 -60 4 3714 3669.8961 0.21107
17 RS_20190110_045717_raw01 / 066 Dark 10-Jan-2019 05:40:12 5 6 -60 4 3723 3670.1773 0.21112
17 RS_20190110_045717_raw01 / 065 Lite 10-Jan-2019 05:40:30 5 6 -60 4 32234 4372.0168 79.8937
17 RS_20190110_045717_raw01 / 066 Lite 10-Jan-2019 05:40:37 5 6 -60 4 32444 4372.1208 79.9007
17 RS_20190110_045717_raw01 / 067 Lite 10-Jan-2019 05:40:45 5 6 -60 4 32691 4372.4468 79.9132
17 RS_20190110_045717_raw01 / 068 Lite 10-Jan-2019 05:40:52 5 6 -60 4 32428 4372.3155 79.8725
17 RS_20190110_045717_raw01 / 067 Dark 10-Jan-2019 05:41:10 5 6 -60 4 3727 3671.0207 0.21132
17 RS_20190110_045717_raw01 / 068 Dark 10-Jan-2019 05:41:18 5 6 -60 4 3719 3670.7793 0.21108
Grouped Image file: RS_20190110_N001_grouped.html
Grouped Image file: RS_20190110_N002_grouped.html
Grouped Image file: RS_20190110_N003_grouped.html
Grouped Image file: RS_20190110_N005_grouped.html
Grouped Image file: RS_20190110_N006_grouped.html
Grouped Image file: RS_20190110_N007_grouped.html
Grouped Image file: RS_20190110_N009_grouped.html
Grouped Image file: RS_20190110_N020_grouped.html
Grouped Image file: RS_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\RS4cal
Date: 28-Jan-2019 12:47:10
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