BS_20190718_030014_raw01 - Day 2

REVISION DATE: 22-Jul-2019 15:17:12

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 Laser
Wavelength (nm)		 Temperature Pre Amplifier Gain Matrix Max (ADU) Matrix Mean (ADU) Matrix % std
2 BS_20190718_030014_raw01 / 001 Background 18-Jul-2019 03:00:14 30 1 2 3 4 5 6 7 8 9 10 11 12 13 14 NaN -40 4 4927 3620.8265 0.24326
2 BS_20190718_030014_raw01 / 002 Background 18-Jul-2019 03:02:01 30 1 2 3 4 5 6 7 8 9 10 11 12 13 14 NaN -40 4 3663 3620.5687 0.23907
2 BS_20190718_030014_raw01 / 001 Lite 18-Jul-2019 03:03:45 30 1 2 3 4 5 6 7 8 9 10 11 12 13 14 NaN -40 4 3666 3626.2418 0.24652
2 BS_20190718_030014_raw01 / 002 Lite 18-Jul-2019 03:05:30 30 1 2 3 4 5 6 7 8 9 10 11 12 13 14 NaN -40 4 4529 3626.0648 0.24923
2 BS_20190718_030014_raw01 / 003 Lite 18-Jul-2019 03:06:22 30 1 2 3 4 5 6 7 8 9 10 11 12 13 14 NaN -40 4 3670 3626.9875 0.24668
2 BS_20190718_030014_raw01 / 004 Lite 18-Jul-2019 03:07:47 30 1 2 3 4 5 6 7 8 9 10 11 12 13 14 NaN -40 4 3667 3625.7155 0.24683
2 BS_20190718_030014_raw01 / 003 Background 18-Jul-2019 03:08:43 30 1 2 3 4 5 6 7 8 9 10 11 12 13 14 NaN -40 4 3660 3620.5628 0.23841
2 BS_20190718_030014_raw01 / 004 Background 18-Jul-2019 03:09:33 30 1 2 3 4 5 6 7 8 9 10 11 12 13 14 NaN -40 4 3667 3620.7406 0.23862
3 BS_20190718_030014_raw01 / 005 Background 18-Jul-2019 03:22:13 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 530 -40 4 3648 3608.9947 0.21943
3 BS_20190718_030014_raw01 / 006 Background 18-Jul-2019 03:22:26 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 530 -40 4 3648 3609.268 0.21971
3 BS_20190718_030014_raw01 / 005 Lite 18-Jul-2019 03:23:24 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 530 -40 4 38000 3686.1365 31.7731
3 BS_20190718_030014_raw01 / 006 Lite 18-Jul-2019 03:23:47 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 530 -40 4 63222 3778.444 67.9544
3 BS_20190718_030014_raw01 / 007 Lite 18-Jul-2019 03:24:20 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 530 -40 4 63228 3772.2339 65.7718
3 BS_20190718_030014_raw01 / 008 Lite 18-Jul-2019 03:24:33 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 530 -40 4 62668 3750.0724 57.3685
3 BS_20190718_030014_raw01 / 007 Background 18-Jul-2019 03:26:25 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 530 -40 4 3648 3609.1936 0.22002
3 BS_20190718_030014_raw01 / 008 Background 18-Jul-2019 03:26:40 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 530 -40 4 3650 3609.2553 0.22014
4 BS_20190718_030014_raw01 / 009 Background 18-Jul-2019 03:35:31 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 617 -40 4 3655 3612.4692 0.2261
4 BS_20190718_030014_raw01 / 010 Background 18-Jul-2019 03:36:08 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 617 -40 4 5237 3612.5672 0.23229
4 BS_20190718_030014_raw01 / 009 Lite 18-Jul-2019 03:36:55 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 617 -40 4 38775 3694.5294 34.3242
4 BS_20190718_030014_raw01 / 010 Lite 18-Jul-2019 03:37:41 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 617 -40 4 29040 3670.3305 24.3349
4 BS_20190718_030014_raw01 / 011 Lite 18-Jul-2019 03:38:09 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 617 -40 4 35745 3686.3167 30.9373
4 BS_20190718_030014_raw01 / 012 Lite 18-Jul-2019 03:38:38 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 617 -40 4 57388 3736.0075 51.1672
4 BS_20190718_030014_raw01 / 011 Background 18-Jul-2019 03:39:04 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 617 -40 4 3654 3613.104 0.22758
4 BS_20190718_030014_raw01 / 012 Background 18-Jul-2019 03:39:38 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 617 -40 4 3655 3612.7425 0.22722
5 BS_20190718_030014_raw01 / 013 Background 18-Jul-2019 03:43:04 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 625 -40 4 3655 3613.135 0.22587
5 BS_20190718_030014_raw01 / 014 Background 18-Jul-2019 03:43:26 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 625 -40 4 3653 3613.5212 0.2267
5 BS_20190718_030014_raw01 / 013 Lite 18-Jul-2019 03:43:51 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 625 -40 4 45527 3702.2052 37.3906
5 BS_20190718_030014_raw01 / 014 Lite 18-Jul-2019 03:44:17 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 625 -40 4 55195 3724.2656 46.6002
5 BS_20190718_030014_raw01 / 015 Lite 18-Jul-2019 03:45:00 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 625 -40 4 57837 3729.4006 48.7507
5 BS_20190718_030014_raw01 / 016 Lite 18-Jul-2019 03:45:26 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 625 -40 4 31276 3671.7979 24.9243
5 BS_20190718_030014_raw01 / 015 Background 18-Jul-2019 03:45:46 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 625 -40 4 3652 3613.056 0.2275
5 BS_20190718_030014_raw01 / 016 Background 18-Jul-2019 03:45:46 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 625 -40 4 3652 3613.056 0.2275
6 BS_20190718_030014_raw01 / 017 Background 18-Jul-2019 03:54:16 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 730 -40 4 3655 3616.3545 0.23335
6 BS_20190718_030014_raw01 / 018 Background 18-Jul-2019 03:54:57 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 730 -40 4 3659 3616.3492 0.23399
6 BS_20190718_030014_raw01 / 017 Lite 18-Jul-2019 03:55:32 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 730 -40 4 3661 3618.4439 0.23652
6 BS_20190718_030014_raw01 / 018 Lite 18-Jul-2019 03:56:03 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 730 -40 4 3659 3618.5707 0.23698
6 BS_20190718_030014_raw01 / 019 Lite 18-Jul-2019 03:56:31 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 730 -40 4 3660 3618.4996 0.2377
6 BS_20190718_030014_raw01 / 020 Lite 18-Jul-2019 03:56:57 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 730 -40 4 3658 3618.7654 0.23824
6 BS_20190718_030014_raw01 / 019 Background 18-Jul-2019 03:57:27 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 730 -40 4 8110 3617.0889 0.26564
6 BS_20190718_030014_raw01 / 020 Background 18-Jul-2019 03:57:51 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 730 -40 4 5291 3617.2498 0.24378
7 BS_20190718_030014_raw01 / 021 Background 18-Jul-2019 04:03:27 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 800 -40 4 3658 3617.4571 0.23454
7 BS_20190718_030014_raw01 / 022 Background 18-Jul-2019 04:03:54 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 800 -40 4 5749 3617.2909 0.24282
7 BS_20190718_030014_raw01 / 021 Lite 18-Jul-2019 04:04:21 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 800 -40 4 3659 3619.084 0.2377
7 BS_20190718_030014_raw01 / 022 Lite 18-Jul-2019 04:04:52 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 800 -40 4 5532 3618.499 0.25404
7 BS_20190718_030014_raw01 / 023 Lite 18-Jul-2019 04:05:17 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 800 -40 4 3662 3618.8035 0.23938
7 BS_20190718_030014_raw01 / 024 Lite 18-Jul-2019 04:05:39 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 800 -40 4 3661 3619.1728 0.23848
7 BS_20190718_030014_raw01 / 023 Background 18-Jul-2019 04:06:02 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 800 -40 4 3663 3617.3755 0.23648
7 BS_20190718_030014_raw01 / 024 Background 18-Jul-2019 04:06:25 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 800 -40 4 3657 3617.2502 0.2366
8 BS_20190718_030014_raw01 / 025 Background 18-Jul-2019 04:10:16 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 850 -40 4 6271 3616.2836 0.27054
8 BS_20190718_030014_raw01 / 026 Background 18-Jul-2019 04:10:49 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 850 -40 4 14541 3617.262 0.38196
8 BS_20190718_030014_raw01 / 025 Lite 18-Jul-2019 04:11:14 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 850 -40 4 3660 3619.8402 0.23689
8 BS_20190718_030014_raw01 / 026 Lite 18-Jul-2019 04:11:45 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 850 -40 4 3661 3619.5754 0.23659
8 BS_20190718_030014_raw01 / 027 Lite 18-Jul-2019 04:12:16 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 850 -40 4 4727 3619.5848 0.23956
8 BS_20190718_030014_raw01 / 028 Lite 18-Jul-2019 04:12:49 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 850 -40 4 3660 3619.1199 0.23672
8 BS_20190718_030014_raw01 / 027 Background 18-Jul-2019 04:13:14 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 850 -40 4 3660 3617.5838 0.23556
8 BS_20190718_030014_raw01 / 028 Background 18-Jul-2019 04:13:37 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 850 -40 4 3661 3617.7576 0.23594
9 BS_20190718_030014_raw01 / 029 Background 18-Jul-2019 04:17:06 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 900 -40 4 6240 3615.478 0.25429
9 BS_20190718_030014_raw01 / 030 Background 18-Jul-2019 04:17:33 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 900 -40 4 3660 3616.3521 0.23378
9 BS_20190718_030014_raw01 / 029 Lite 18-Jul-2019 04:18:13 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 900 -40 4 5201 3618.5595 0.24966
9 BS_20190718_030014_raw01 / 030 Lite 18-Jul-2019 04:18:37 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 900 -40 4 3660 3619.1822 0.23748
9 BS_20190718_030014_raw01 / 031 Lite 18-Jul-2019 04:19:20 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 900 -40 4 3660 3618.5768 0.23649
9 BS_20190718_030014_raw01 / 032 Lite 18-Jul-2019 04:19:41 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 900 -40 4 5229 3619.5847 0.24721
9 BS_20190718_030014_raw01 / 031 Background 18-Jul-2019 04:20:13 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 900 -40 4 3661 3617.4681 0.23496
9 BS_20190718_030014_raw01 / 032 Background 18-Jul-2019 04:20:33 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 900 -40 4 9029 3618.2699 0.41322
10 BS_20190718_030014_raw01 / 033 Background 18-Jul-2019 04:31:52 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 455 -40 4 3652 3610.2241 0.21974
10 BS_20190718_030014_raw01 / 034 Background 18-Jul-2019 04:32:37 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 455 -40 4 3649 3609.7888 0.21948
10 BS_20190718_030014_raw01 / 033 Lite 18-Jul-2019 04:33:03 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 455 -40 4 32912 3668.2454 25.8984
10 BS_20190718_030014_raw01 / 034 Lite 18-Jul-2019 04:34:00 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 455 -40 4 31787 3665.2939 24.9821
10 BS_20190718_030014_raw01 / 035 Lite 18-Jul-2019 04:34:21 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 455 -40 4 34390 3671.3204 27.445
10 BS_20190718_030014_raw01 / 036 Lite 18-Jul-2019 04:34:42 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 455 -40 4 30530 3663.6671 24.0692
10 BS_20190718_030014_raw01 / 035 Background 18-Jul-2019 04:35:08 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 455 -40 4 3650 3610.5191 0.22006
10 BS_20190718_030014_raw01 / 036 Background 18-Jul-2019 04:35:42 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 455 -40 4 3651 3610.253 0.21927
11 BS_20190718_030014_raw01 / 037 Background 18-Jul-2019 04:45:39 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 400 -40 4 3655 3614.9003 0.22462
11 BS_20190718_030014_raw01 / 038 Background 18-Jul-2019 04:46:05 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 400 -40 4 3654 3614.8289 0.22472
11 BS_20190718_030014_raw01 / 037 Lite 18-Jul-2019 04:46:34 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 400 -40 4 35591 3675.3742 26.4054
11 BS_20190718_030014_raw01 / 038 Lite 18-Jul-2019 04:47:00 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 400 -40 4 30882 3665.9527 22.3938
11 BS_20190718_030014_raw01 / 039 Lite 18-Jul-2019 04:47:26 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 400 -40 4 34536 3673.1139 25.5127
11 BS_20190718_030014_raw01 / 040 Lite 18-Jul-2019 04:47:50 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 400 -40 4 35666 3675.1136 26.3822
11 BS_20190718_030014_raw01 / 039 Background 18-Jul-2019 04:48:17 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 400 -40 4 3653 3614.3993 0.22541
11 BS_20190718_030014_raw01 / 040 Background 18-Jul-2019 04:48:38 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 400 -40 4 3657 3614.2984 0.22532
12 BS_20190718_030014_raw01 / 041 Background 18-Jul-2019 04:53:34 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 360 -40 4 3655 3614.4324 0.22241
12 BS_20190718_030014_raw01 / 042 Background 18-Jul-2019 04:54:05 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 360 -40 4 3655 3614.4128 0.22288
12 BS_20190718_030014_raw01 / 041 Lite 18-Jul-2019 04:54:30 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 360 -40 4 43944 3736.5355 33.818
12 BS_20190718_030014_raw01 / 042 Lite 18-Jul-2019 04:55:23 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 360 -40 4 45055 3736.5675 34.0473
12 BS_20190718_030014_raw01 / 043 Lite 18-Jul-2019 04:56:16 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 360 -40 4 42571 3730.9264 32.585
12 BS_20190718_030014_raw01 / 044 Lite 18-Jul-2019 04:56:39 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 360 -40 4 39724 3722.4023 30.1646
12 BS_20190718_030014_raw01 / 043 Background 18-Jul-2019 04:57:19 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 360 -40 4 3652 3613.8526 0.22405
12 BS_20190718_030014_raw01 / 044 Background 18-Jul-2019 04:57:41 3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 360 -40 4 3653 3614.0467 0.22425
13 BS_20190718_030014_raw01 / 045 Background 18-Jul-2019 05:00:32 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 350 -40 4 3655 3613.7834 0.21993
13 BS_20190718_030014_raw01 / 046 Background 18-Jul-2019 05:00:32 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 350 -40 4 3655 3613.7834 0.21993
13 BS_20190718_030014_raw01 / 045 Lite 18-Jul-2019 05:02:27 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 350 -40 4 41976 3785.2759 36.6131
13 BS_20190718_030014_raw01 / 046 Lite 18-Jul-2019 05:02:52 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 350 -40 4 41527 3783.2413 36.2425
13 BS_20190718_030014_raw01 / 047 Lite 18-Jul-2019 05:03:16 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 350 -40 4 42135 3784.5677 36.5371
13 BS_20190718_030014_raw01 / 048 Lite 18-Jul-2019 05:03:36 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 350 -40 4 41365 3782.0362 35.9644
13 BS_20190718_030014_raw01 / 047 Background 18-Jul-2019 05:04:28 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 350 -40 4 4850 3612.6705 0.22831
13 BS_20190718_030014_raw01 / 048 Background 18-Jul-2019 05:04:49 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 350 -40 4 3653 3612.8335 0.21998
14 BS_20190718_030014_raw01 / 049 Background 18-Jul-2019 05:08:27 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 345 -40 4 3656 3617.3415 0.23158
14 BS_20190718_030014_raw01 / 050 Background 18-Jul-2019 05:09:44 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 345 -40 4 3657 3617.4988 0.23133
14 BS_20190718_030014_raw01 / 049 Lite 18-Jul-2019 05:10:32 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 345 -40 4 31304 3702.0029 21.9802
14 BS_20190718_030014_raw01 / 050 Lite 18-Jul-2019 05:11:32 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 345 -40 4 31707 3702.2388 22.1697
14 BS_20190718_030014_raw01 / 051 Lite 18-Jul-2019 05:12:05 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 345 -40 4 32095 3704.6966 22.7255
14 BS_20190718_030014_raw01 / 052 Lite 18-Jul-2019 05:12:37 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 345 -40 4 33351 3706.8539 23.2718
14 BS_20190718_030014_raw01 / 051 Background 18-Jul-2019 05:13:08 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 345 -40 4 8602 3617.5337 0.32041
14 BS_20190718_030014_raw01 / 052 Background 18-Jul-2019 05:13:42 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 345 -40 4 3661 3617.3441 0.23361
Grouped Image file: BS_20190718_N001_grouped.html
Grouped Image file: BS_20190718_N002_grouped.html
Grouped Image file: BS_20190718_N003_grouped.html
Grouped Image file: BS_20190718_N005_grouped.html
Grouped Image file: BS_20190718_N006_grouped.html
Grouped Image file: BS_20190718_N007_grouped.html
Grouped Image file: BS_20190718_N020_grouped.html
Grouped Image file: BS_20190718_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: 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.


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.


pwd: E:\zflora\mldata2\mobyrefresh\characterization\Hawaii-2019-03\BS04
Date: 22-Jul-2019 15:17:15
Created from mkhtml2_(1)