BS_20200207_014920_raw01 - Day 3

REVISION DATE: 10-Feb-2020 11:09:59

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)
Temperature Pre Amplifier Gain Matrix Max (ADU) Matrix Mean (ADU) Matrix % std
1 BS_20200207_014920_raw01 / 001 Background 07-Feb-2020 01:49:20 0.05 6 355 -60 4 3282 3246.0253 0.22325
1 BS_20200207_014920_raw01 / 002 Background 07-Feb-2020 01:50:54 0.05 6 355 -60 4 3283 3246.2492 0.2228
1 BS_20200207_014920_raw01 / 001 Lite 07-Feb-2020 01:51:40 0.05 6 355 -60 4 58414 3254.2704 14.574
1 BS_20200207_014920_raw01 / 002 Lite 07-Feb-2020 01:53:19 0.05 6 355 -60 4 57539 3254.3705 14.2712
1 BS_20200207_014920_raw01 / 003 Lite 07-Feb-2020 01:55:12 0.05 6 355 -60 4 57563 3254.5683 14.3081
1 BS_20200207_014920_raw01 / 004 Lite 07-Feb-2020 01:56:34 0.05 6 355 -60 4 57354 3254.3009 14.3281
1 BS_20200207_014920_raw01 / 003 Background 07-Feb-2020 01:57:36 0.05 6 355 -60 4 3281 3246.5511 0.22278
1 BS_20200207_014920_raw01 / 004 Background 07-Feb-2020 01:58:34 0.05 6 355 -60 4 3279 3246.7056 0.22286
2 BS_20200207_014920_raw01 / 005 Background 07-Feb-2020 02:04:54 1 6 475 -60 4 3278 3245.3123 0.22623
2 BS_20200207_014920_raw01 / 006 Background 07-Feb-2020 02:05:24 1 6 475 -60 4 3286 3245.2843 0.22636
2 BS_20200207_014920_raw01 / 005 Lite 07-Feb-2020 02:05:54 1 6 475 -60 4 36765 3249.685 9.1184
2 BS_20200207_014920_raw01 / 006 Lite 07-Feb-2020 02:06:18 1 6 475 -60 4 36288 3249.4954 9.032
2 BS_20200207_014920_raw01 / 007 Lite 07-Feb-2020 02:06:42 1 6 475 -60 4 35986 3249.3255 8.8957
2 BS_20200207_014920_raw01 / 008 Lite 07-Feb-2020 02:07:11 1 6 475 -60 4 35932 3249.2697 8.931
2 BS_20200207_014920_raw01 / 007 Background 07-Feb-2020 02:08:32 1 6 475 -60 4 3280 3244.7072 0.22647
2 BS_20200207_014920_raw01 / 008 Background 07-Feb-2020 02:08:57 1 6 475 -60 4 3281 3244.7869 0.2264
3 BS_20200207_014920_raw01 / 009 Background 07-Feb-2020 02:15:08 0.5 6 520 -60 4 3279 3245.73 0.22508
3 BS_20200207_014920_raw01 / 010 Background 07-Feb-2020 02:16:09 0.5 6 520 -60 4 3282 3245.8372 0.22445
3 BS_20200207_014920_raw01 / 009 Lite 07-Feb-2020 02:17:19 0.5 6 520 -60 4 56381 3252.9711 15.4461
3 BS_20200207_014920_raw01 / 010 Lite 07-Feb-2020 02:18:20 0.5 6 520 -60 4 62165 3254.253 17.6868
3 BS_20200207_014920_raw01 / 011 Lite 07-Feb-2020 02:19:13 0.5 6 520 -60 4 54882 3252.9762 15.0937
3 BS_20200207_014920_raw01 / 012 Lite 07-Feb-2020 02:19:55 0.5 6 520 -60 4 50906 3252.5358 13.9935
3 BS_20200207_014920_raw01 / 011 Background 07-Feb-2020 02:20:54 0.5 6 520 -60 4 3281 3245.9103 0.22466
3 BS_20200207_014920_raw01 / 012 Background 07-Feb-2020 02:21:40 0.5 6 520 -60 4 3281 3246.1706 0.22443
4 BS_20200207_014920_raw01 / 013 Background 07-Feb-2020 02:24:10 0.5 6 530 -60 4 3282 3246.3841 0.22456
4 BS_20200207_014920_raw01 / 014 Background 07-Feb-2020 02:25:16 0.5 6 530 -60 4 3282 3246.0721 0.22431
4 BS_20200207_014920_raw01 / 013 Lite 07-Feb-2020 02:26:00 0.5 6 530 -60 4 32723 3249.8893 7.7598
4 BS_20200207_014920_raw01 / 014 Lite 07-Feb-2020 02:26:59 0.5 6 530 -60 4 39339 3251.0236 9.6071
4 BS_20200207_014920_raw01 / 015 Lite 07-Feb-2020 02:27:24 0.5 6 530 -60 4 31264 3250.2508 7.4091
4 BS_20200207_014920_raw01 / 016 Lite 07-Feb-2020 02:28:05 0.5 6 530 -60 4 29554 3249.6715 6.9545
4 BS_20200207_014920_raw01 / 015 Background 07-Feb-2020 02:28:45 0.5 6 530 -60 4 3283 3245.9712 0.22455
4 BS_20200207_014920_raw01 / 016 Background 07-Feb-2020 02:29:27 0.5 6 530 -60 4 3282 3245.818 0.22447
5 BS_20200207_014920_raw01 / 017 Background 07-Feb-2020 02:33:11 0.5 6 540 -60 4 3281 3245.1359 0.22454
5 BS_20200207_014920_raw01 / 018 Background 07-Feb-2020 02:33:38 0.5 6 540 -60 4 3282 3245.2733 0.22465
5 BS_20200207_014920_raw01 / 017 Lite 07-Feb-2020 02:34:44 0.5 6 540 -60 4 33387 3249.6202 8.2232
5 BS_20200207_014920_raw01 / 018 Lite 07-Feb-2020 02:35:43 0.5 6 540 -60 4 32341 3249.4269 7.8947
5 BS_20200207_014920_raw01 / 019 Lite 07-Feb-2020 02:36:06 0.5 6 540 -60 4 30069 3249.3469 7.2519
5 BS_20200207_014920_raw01 / 020 Lite 07-Feb-2020 02:36:31 0.5 6 540 -60 4 41859 3251.0509 10.5854
5 BS_20200207_014920_raw01 / 019 Background 07-Feb-2020 02:37:47 0.5 6 540 -60 4 3280 3245.8237 0.22466
5 BS_20200207_014920_raw01 / 020 Background 07-Feb-2020 02:37:58 0.5 6 540 -60 4 3279 3245.9111 0.22464
6 BS_20200207_014920_raw01 / 021 Background 07-Feb-2020 02:47:22 0.5 6 575 -60 4 3282 3246.4555 0.22465
6 BS_20200207_014920_raw01 / 022 Background 07-Feb-2020 02:47:35 0.5 6 575 -60 4 3283 3246.6247 0.22473
6 BS_20200207_014920_raw01 / 021 Lite 07-Feb-2020 02:47:51 0.5 6 575 -60 4 52855 3253.0082 13.5648
6 BS_20200207_014920_raw01 / 022 Lite 07-Feb-2020 02:48:25 0.5 6 575 -60 4 50093 3252.5886 12.7729
6 BS_20200207_014920_raw01 / 023 Lite 07-Feb-2020 02:49:02 0.5 6 575 -60 4 48873 3252.6172 12.4546
6 BS_20200207_014920_raw01 / 024 Lite 07-Feb-2020 02:49:12 0.5 6 575 -60 4 41085 3251.4409 10.2602
6 BS_20200207_014920_raw01 / 023 Background 07-Feb-2020 02:49:46 0.5 6 575 -60 4 3282 3246.4989 0.22449
6 BS_20200207_014920_raw01 / 024 Background 07-Feb-2020 02:49:57 0.5 6 575 -60 4 3284 3246.4509 0.22448
7 BS_20200207_014920_raw01 / 025 Background 07-Feb-2020 03:00:32 1.75 6 625 -60 4 3282 3245.4829 0.2269
7 BS_20200207_014920_raw01 / 026 Background 07-Feb-2020 03:00:52 1.75 6 625 -60 4 3283 3245.314 0.22695
7 BS_20200207_014920_raw01 / 025 Lite 07-Feb-2020 03:01:35 1.75 6 625 -60 4 60773 3253.3569 16.162
7 BS_20200207_014920_raw01 / 026 Lite 07-Feb-2020 03:02:15 1.75 6 625 -60 4 53622 3252.0334 14.0947
7 BS_20200207_014920_raw01 / 027 Lite 07-Feb-2020 03:02:36 1.75 6 625 -60 4 50888 3252.0159 13.2238
7 BS_20200207_014920_raw01 / 028 Lite 07-Feb-2020 03:02:36 1.75 6 625 -60 4 50888 3252.0159 13.2238
7 BS_20200207_014920_raw01 / 027 Background 07-Feb-2020 03:04:33 1.75 6 625 -60 4 3278 3244.9605 0.22724
7 BS_20200207_014920_raw01 / 028 Background 07-Feb-2020 03:04:44 1.75 6 625 -60 4 3281 3244.9429 0.22742
8 BS_20200207_014920_raw01 / 029 Background 07-Feb-2020 03:10:37 30 6 702 -60 4 4700 3264.9166 0.2722
8 BS_20200207_014920_raw01 / 030 Background 07-Feb-2020 03:11:40 30 6 702 -60 4 3389 3265.5764 0.26362
8 BS_20200207_014920_raw01 / 029 Lite 07-Feb-2020 03:12:51 30 6 702 -60 4 10800 3266.1732 2.2688
8 BS_20200207_014920_raw01 / 030 Lite 07-Feb-2020 03:13:31 30 6 702 -60 4 10914 3267.8473 2.3187
8 BS_20200207_014920_raw01 / 031 Lite 07-Feb-2020 03:13:31 30 6 702 -60 4 10914 3267.8473 2.3187
8 BS_20200207_014920_raw01 / 032 Lite 07-Feb-2020 03:15:21 30 6 702 -60 4 11150 3267.5978 2.3819
8 BS_20200207_014920_raw01 / 031 Background 07-Feb-2020 03:16:06 30 6 702 -60 4 3396 3265.8535 0.26291
8 BS_20200207_014920_raw01 / 032 Background 07-Feb-2020 03:16:50 30 6 702 -60 4 4602 3266.6965 0.27694
9 BS_20200207_014920_raw01 / 033 Background 07-Feb-2020 03:22:35 10 6 775 -60 4 4561 3248.2143 0.23967
9 BS_20200207_014920_raw01 / 034 Background 07-Feb-2020 03:22:58 10 6 775 -60 4 3302 3249.0218 0.23458
9 BS_20200207_014920_raw01 / 033 Lite 07-Feb-2020 03:22:58 10 6 775 -60 4 3302 3249.0218 0.23458
9 BS_20200207_014920_raw01 / 034 Lite 07-Feb-2020 03:24:00 10 6 775 -60 4 3289 3249.3604 0.23385
9 BS_20200207_014920_raw01 / 035 Lite 07-Feb-2020 03:24:21 10 6 775 -60 4 3290 3249.605 0.23395
9 BS_20200207_014920_raw01 / 036 Lite 07-Feb-2020 03:26:35 10 6 775 -60 4 3288 3249.2064 0.23343
9 BS_20200207_014920_raw01 / 035 Background 07-Feb-2020 03:27:00 10 6 775 -60 4 6875 3249.5152 0.25933
9 BS_20200207_014920_raw01 / 036 Background 07-Feb-2020 03:27:20 10 6 775 -60 4 3293 3249.962 0.23432
10 BS_20200207_014920_raw01 / 037 Background 07-Feb-2020 03:31:40 10 6 875 -60 4 3307 3249.2718 0.23476
10 BS_20200207_014920_raw01 / 038 Background 07-Feb-2020 03:32:14 10 6 875 -60 4 3308 3249.4478 0.23492
10 BS_20200207_014920_raw01 / 037 Lite 07-Feb-2020 03:32:36 10 6 875 -60 4 3294 3249.6774 0.23369
10 BS_20200207_014920_raw01 / 038 Lite 07-Feb-2020 03:33:12 10 6 875 -60 4 3305 3249.9224 0.23437
10 BS_20200207_014920_raw01 / 039 Lite 07-Feb-2020 03:33:34 10 6 875 -60 4 4312 3250.1173 0.23788
10 BS_20200207_014920_raw01 / 040 Lite 07-Feb-2020 03:34:04 10 6 875 -60 4 3290 3250.1526 0.23413
10 BS_20200207_014920_raw01 / 039 Background 07-Feb-2020 03:34:54 10 6 875 -60 4 3303 3248.8948 0.23414
10 BS_20200207_014920_raw01 / 040 Background 07-Feb-2020 03:35:49 10 6 875 -60 4 3292 3249.4053 0.23479
11 BS_20200207_014920_raw01 / 041 Background 07-Feb-2020 03:37:57 10 6 909 -60 4 3294 3249.3821 0.23436
11 BS_20200207_014920_raw01 / 042 Background 07-Feb-2020 03:38:50 10 6 909 -60 4 4000 3249.3829 0.23863
11 BS_20200207_014920_raw01 / 041 Lite 07-Feb-2020 03:39:34 10 6 909 -60 4 3290 3249.2062 0.23416
11 BS_20200207_014920_raw01 / 042 Lite 07-Feb-2020 03:40:03 10 6 909 -60 4 3313 3249.8229 0.23362
11 BS_20200207_014920_raw01 / 043 Lite 07-Feb-2020 03:40:34 10 6 909 -60 4 3302 3250.0596 0.23382
11 BS_20200207_014920_raw01 / 044 Lite 07-Feb-2020 03:40:53 10 6 909 -60 4 3322 3250.4536 0.23343
11 BS_20200207_014920_raw01 / 043 Background 07-Feb-2020 03:41:17 10 6 909 -60 4 6922 3249.9785 0.26729
11 BS_20200207_014920_raw01 / 044 Background 07-Feb-2020 03:42:24 10 6 909 -60 4 3306 3249.4549 0.23501

Grouped Image file: BS_20200207_N001_grouped.html
Grouped Image file: BS_20200207_N002_grouped.html
Grouped Image file: BS_20200207_N003_grouped.html
Grouped Image file: BS_20200207_N005_grouped.html
Grouped Image file: BS_20200207_N007_grouped.html
Grouped Image file: BS_20200207_N009_grouped.html
Grouped Image file: BS_20200207_N020_grouped.html
Grouped Image file: BS_20200207_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.


image

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 11:10:01
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