BS_20200208_051753_raw01 - Day 4

REVISION DATE: 10-Feb-2020 16:07:51

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

Table caption: BS05 Data
Dataset# Filename / Fit# Type file creation date Total Exposure Time Tracks on Laser
Wavelength (nm)		 Saturated? Temperature Pre Amplifier Gain Matrix Max (ADU) Matrix Mean (ADU) Matrix % std
1 BS_20200208_051753_raw01 / 001 Background 08-Feb-2020 05:17:53 0.05 6 360 No -60 4 3289 3252.9316 0.2242
1 BS_20200208_051753_raw01 / 002 Background 08-Feb-2020 05:17:53 0.05 6 360 No -60 4 3289 3252.9316 0.2242
1 BS_20200208_051753_raw01 / 001 Lite 08-Feb-2020 05:18:44 0.05 6 360 No -60 4 43614 3258.8242 10.5818
1 BS_20200208_051753_raw01 / 002 Lite 08-Feb-2020 05:19:05 0.05 6 360 No -60 4 43120 3258.6643 10.3386
1 BS_20200208_051753_raw01 / 003 Lite 08-Feb-2020 05:19:16 0.05 6 360 No -60 4 43375 3258.3979 10.576
1 BS_20200208_051753_raw01 / 004 Lite 08-Feb-2020 05:19:28 0.05 6 360 No -60 4 43403 3258.4514 10.4764
1 BS_20200208_051753_raw01 / 003 Background 08-Feb-2020 05:19:37 0.05 6 360 No -60 4 3293 3252.467 0.22422
1 BS_20200208_051753_raw01 / 004 Background 08-Feb-2020 05:19:46 0.05 6 360 No -60 4 3287 3252.7445 0.22462
2 BS_20200208_051753_raw01 / 005 Background 08-Feb-2020 05:23:42 0.05 6 362.5 No -60 4 3286 3252.7939 0.22444
2 BS_20200208_051753_raw01 / 006 Background 08-Feb-2020 05:23:57 0.05 6 362.5 No -60 4 3288 3253.0805 0.22464
2 BS_20200208_051753_raw01 / 005 Lite 08-Feb-2020 05:24:07 0.05 6 362.5 No -60 4 40525 3259.0107 10.7273
2 BS_20200208_051753_raw01 / 006 Lite 08-Feb-2020 05:24:29 0.05 6 362.5 No -60 4 39685 3258.8258 10.3813
2 BS_20200208_051753_raw01 / 007 Lite 08-Feb-2020 05:24:39 0.05 6 362.5 No -60 4 40173 3258.9446 10.4535
2 BS_20200208_051753_raw01 / 008 Lite 08-Feb-2020 05:24:49 0.05 6 362.5 No -60 4 40448 3258.8137 10.5644
2 BS_20200208_051753_raw01 / 007 Background 08-Feb-2020 05:25:00 0.05 6 362.5 No -60 4 3287 3252.9097 0.22438
2 BS_20200208_051753_raw01 / 008 Background 08-Feb-2020 05:25:14 0.05 6 362.5 No -60 4 3289 3252.8384 0.22429
3 BS_20200208_051753_raw01 / 009 Background 08-Feb-2020 05:26:41 0.05 6 365 No -60 4 3288 3253.1204 0.22409
3 BS_20200208_051753_raw01 / 010 Background 08-Feb-2020 05:26:50 0.05 6 365 No -60 4 3286 3253.3242 0.22432
3 BS_20200208_051753_raw01 / 009 Lite 08-Feb-2020 05:27:03 0.05 6 365 No -60 4 56585 3260.4897 13.7576
3 BS_20200208_051753_raw01 / 010 Lite 08-Feb-2020 05:27:20 0.05 6 365 No -60 4 56153 3260.699 13.5724
3 BS_20200208_051753_raw01 / 011 Lite 08-Feb-2020 05:27:33 0.05 6 365 No -60 4 54866 3260.3159 13.355
3 BS_20200208_051753_raw01 / 012 Lite 08-Feb-2020 05:27:44 0.05 6 365 No -60 4 56975 3260.4973 13.8731
3 BS_20200208_051753_raw01 / 011 Background 08-Feb-2020 05:28:24 0.05 6 365 No -60 4 3288 3253.2228 0.22383
3 BS_20200208_051753_raw01 / 012 Background 08-Feb-2020 05:28:37 0.05 6 365 No -60 4 3290 3253.316 0.22417
4 BS_20200208_051753_raw01 / 013 Background 08-Feb-2020 05:45:26 0.5 6 527.5 No -60 4 3288 3251.7172 0.22526
4 BS_20200208_051753_raw01 / 014 Background 08-Feb-2020 05:45:58 0.5 6 527.5 No -60 4 3287 3252.0257 0.22546
4 BS_20200208_051753_raw01 / 013 Lite 08-Feb-2020 05:46:09 0.5 6 527.5 No -60 4 48990 3257.9338 12.8549
4 BS_20200208_051753_raw01 / 014 Lite 08-Feb-2020 05:47:11 0.5 6 527.5 No -60 4 39038 3256.8549 9.9667
4 BS_20200208_051753_raw01 / 015 Lite 08-Feb-2020 05:47:24 0.5 6 527.5 No -60 4 47232 3258.0717 12.2774
4 BS_20200208_051753_raw01 / 016 Lite 08-Feb-2020 05:47:33 0.5 6 527.5 No -60 4 33536 3256.1773 8.4597
4 BS_20200208_051753_raw01 / 015 Background 08-Feb-2020 05:47:43 0.5 6 527.5 No -60 4 3287 3251.899 0.22575
4 BS_20200208_051753_raw01 / 016 Background 08-Feb-2020 05:47:53 0.5 6 527.5 No -60 4 3287 3252.0718 0.22588
5 BS_20200208_051753_raw01 / 017 Background 08-Feb-2020 05:48:19 1 6 527.5 Yes -60 4 3287 3251.7701 0.22559
5 BS_20200208_051753_raw01 / 018 Background 08-Feb-2020 05:48:29 1 6 527.5 Yes -60 4 3288 3251.8052 0.22558
5 BS_20200208_051753_raw01 / 017 Lite 08-Feb-2020 05:48:41 1 6 527.5 Yes -60 4 60046 3259.2431 15.9416
5 BS_20200208_051753_raw01 / 018 Lite 08-Feb-2020 05:49:26 1 6 527.5 Yes -60 4 63240 3260.3163 17.8309
5 BS_20200208_051753_raw01 / 019 Lite 08-Feb-2020 05:49:39 1 6 527.5 Yes -60 4 62286 3259.7746 16.869
5 BS_20200208_051753_raw01 / 020 Lite 08-Feb-2020 05:50:05 1 6 527.5 Yes -60 4 63412 3260.8282 18.7172
5 BS_20200208_051753_raw01 / 019 Background 08-Feb-2020 05:50:15 1 6 527.5 Yes -60 4 3287 3251.5554 0.22587
5 BS_20200208_051753_raw01 / 020 Background 08-Feb-2020 05:50:25 1 6 527.5 Yes -60 4 3285 3251.57 0.22567
6 BS_20200208_051753_raw01 / 021 Background 08-Feb-2020 05:50:58 2 6 527.5 Yes -60 4 3287 3251.2869 0.22596
6 BS_20200208_051753_raw01 / 022 Background 08-Feb-2020 05:51:13 2 6 527.5 Yes -60 4 3288 3251.2738 0.22591
6 BS_20200208_051753_raw01 / 021 Lite 08-Feb-2020 05:51:24 2 6 527.5 Yes -60 4 63573 3262.9444 22.5075
6 BS_20200208_051753_raw01 / 022 Lite 08-Feb-2020 05:52:46 2 6 527.5 Yes -60 4 63548 3263.339 22.2754
6 BS_20200208_051753_raw01 / 023 Lite 08-Feb-2020 05:52:59 2 6 527.5 Yes -60 4 63551 3263.0146 22.1974
6 BS_20200208_051753_raw01 / 024 Lite 08-Feb-2020 05:53:13 2 6 527.5 Yes -60 4 63587 3263.2576 22.541
6 BS_20200208_051753_raw01 / 023 Background 08-Feb-2020 05:53:25 2 6 527.5 Yes -60 4 3287 3251.3685 0.22563
6 BS_20200208_051753_raw01 / 024 Background 08-Feb-2020 05:53:35 2 6 527.5 Yes -60 4 3286 3251.2792 0.22534
7 BS_20200208_051753_raw01 / 025 Background 08-Feb-2020 05:55:09 5 6 527.5 Yes -60 4 3288 3251.9054 0.22835
7 BS_20200208_051753_raw01 / 026 Background 08-Feb-2020 05:55:27 5 6 527.5 Yes -60 4 3287 3252.3181 0.22851
7 BS_20200208_051753_raw01 / 025 Lite 08-Feb-2020 05:55:40 5 6 527.5 Yes -60 4 63988 3271.7892 30.151
7 BS_20200208_051753_raw01 / 026 Lite 08-Feb-2020 05:56:37 5 6 527.5 Yes -60 4 63996 3271.7571 30.0742
7 BS_20200208_051753_raw01 / 027 Lite 08-Feb-2020 05:56:51 5 6 527.5 Yes -60 4 63998 3274.4386 32.2213
7 BS_20200208_051753_raw01 / 028 Lite 08-Feb-2020 05:56:51 5 6 527.5 Yes -60 4 63998 3274.4386 32.2213
7 BS_20200208_051753_raw01 / 027 Background 08-Feb-2020 05:57:46 5 6 527.5 Yes -60 4 3291 3252.3752 0.22856
7 BS_20200208_051753_raw01 / 028 Background 08-Feb-2020 05:58:02 5 6 527.5 Yes -60 4 3289 3252.6257 0.22815
8 BS_20200208_051753_raw01 / 029 Background 08-Feb-2020 05:59:27 10 6 527.5 Yes -60 4 3302 3255.5947 0.23417
8 BS_20200208_051753_raw01 / 030 Background 08-Feb-2020 05:59:55 10 6 527.5 Yes -60 4 3312 3256.0003 0.23444
8 BS_20200208_051753_raw01 / 029 Lite 08-Feb-2020 06:00:19 10 6 527.5 Yes -60 4 64009 3292.0745 42.1471
8 BS_20200208_051753_raw01 / 030 Lite 08-Feb-2020 06:01:17 10 6 527.5 Yes -60 4 63995 3287.1654 39.2226
8 BS_20200208_051753_raw01 / 031 Lite 08-Feb-2020 06:01:39 10 6 527.5 Yes -60 4 64012 3286.3265 38.3694
8 BS_20200208_051753_raw01 / 032 Lite 08-Feb-2020 06:02:02 10 6 527.5 Yes -60 4 64020 3288.3076 39.4905
8 BS_20200208_051753_raw01 / 031 Background 08-Feb-2020 06:02:26 10 6 527.5 Yes -60 4 3303 3256.1505 0.23443
8 BS_20200208_051753_raw01 / 032 Background 08-Feb-2020 06:02:51 10 6 527.5 Yes -60 4 3300 3256.1515 0.23428
9 BS_20200208_051753_raw01 / 033 Background 08-Feb-2020 06:04:08 30 6 527.5 Yes -60 4 4436 3271.1716 0.26597
9 BS_20200208_051753_raw01 / 034 Background 08-Feb-2020 06:05:04 30 6 527.5 Yes -60 4 4293 3271.1868 0.2659
9 BS_20200208_051753_raw01 / 033 Lite 08-Feb-2020 06:05:49 30 6 527.5 Yes -60 4 64063 3369.5167 69.3411
9 BS_20200208_051753_raw01 / 034 Lite 08-Feb-2020 06:06:44 30 6 527.5 Yes -60 4 64086 3365.092 67.5799
9 BS_20200208_051753_raw01 / 035 Lite 08-Feb-2020 06:07:28 30 6 527.5 Yes -60 4 64104 3364.7824 67.3325
9 BS_20200208_051753_raw01 / 036 Lite 08-Feb-2020 06:08:17 30 6 527.5 Yes -60 4 64071 3370.8676 69.4341
9 BS_20200208_051753_raw01 / 035 Background 08-Feb-2020 06:09:16 30 6 527.5 Yes -60 4 3399 3270.8276 0.26245
9 BS_20200208_051753_raw01 / 036 Background 08-Feb-2020 06:10:29 30 6 527.5 Yes -60 4 3404 3271.1317 0.26215
10 BS_20200208_051753_raw01 / 037 Background 08-Feb-2020 06:12:52 60 6 527.5 Yes -60 4 8547 3295.2692 0.41303
10 BS_20200208_051753_raw01 / 038 Background 08-Feb-2020 06:14:03 60 6 527.5 Yes -60 4 7964 3296.4056 0.42224
10 BS_20200208_051753_raw01 / 037 Lite 08-Feb-2020 06:15:16 60 6 527.5 Yes -60 4 64142 3490.4843 94.1089
10 BS_20200208_051753_raw01 / 038 Lite 08-Feb-2020 06:16:44 60 6 527.5 Yes -60 4 64129 3480.0297 91.6122
10 BS_20200208_051753_raw01 / 039 Lite 08-Feb-2020 06:17:55 60 6 527.5 Yes -60 4 64142 3479.7575 91.4181
10 BS_20200208_051753_raw01 / 040 Lite 08-Feb-2020 06:19:08 60 6 527.5 Yes -60 4 64091 3486.4014 92.8447
10 BS_20200208_051753_raw01 / 039 Background 08-Feb-2020 06:20:32 60 6 527.5 Yes -60 4 4594 3295.979 0.32387
10 BS_20200208_051753_raw01 / 040 Background 08-Feb-2020 06:21:49 60 6 527.5 Yes -60 4 12198 3296.793 0.4277
11 BS_20200208_051753_raw01 / 041 Background 08-Feb-2020 06:26:28 120 6 527.5 Yes -60 4 5934 3343.5113 0.47148
11 BS_20200208_051753_raw01 / 042 Background 08-Feb-2020 06:28:46 120 6 527.5 Yes -60 4 7983 3343.9073 0.48086
11 BS_20200208_051753_raw01 / 041 Lite 08-Feb-2020 06:30:59 120 6 527.5 Yes -60 4 64163 3687.465 118.4741
11 BS_20200208_051753_raw01 / 042 Lite 08-Feb-2020 06:33:19 120 6 527.5 Yes -60 4 64191 3700.1414 119.87
11 BS_20200208_051753_raw01 / 043 Lite 08-Feb-2020 06:35:35 120 6 527.5 Yes -60 4 64179 3697.9259 119.4808
11 BS_20200208_051753_raw01 / 044 Lite 08-Feb-2020 06:37:48 120 6 527.5 Yes -60 4 64168 3691.2171 118.4629
11 BS_20200208_051753_raw01 / 043 Background 08-Feb-2020 06:40:12 120 6 527.5 Yes -60 4 9153 3344.2697 0.52076
11 BS_20200208_051753_raw01 / 044 Background 08-Feb-2020 06:42:24 120 6 527.5 Yes -60 4 4543 3344.8027 0.44065
Grouped Image file: BS_20200208_N001_grouped.html
Grouped Image file: BS_20200208_N002_grouped.html
Grouped Image file: BS_20200208_N003_grouped.html
Grouped Image file: BS_20200208_N005_grouped.html
Grouped Image file: BS_20200208_N007_grouped.html
Grouped Image file: BS_20200208_N009_grouped.html
Grouped Image file: BS_20200208_N020_grouped.html
Grouped Image file: BS_20200208_N022_grouped.html

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 1 A: All the net data sets with a track illuminated. This shows ALL the net tracks with light on them.

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Figure 2 A: 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 3 A: 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 4 A: 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 5 A: 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 6 A: 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 7 A: 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 8 A: 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 9 A: 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 10 A: 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 11 A: 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 12 A: 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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Date: 10-Feb-2020 16:07:53
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