BS_20200205_040912_raw01 - Day 2

REVISION DATE: 07-Feb-2020 15:19:28

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_20200205_040912_raw01 / 001 Background 05-Feb-2020 04:09:12 0.5 6 450 -60 4 3284 3248.7148 0.22588
1 BS_20200205_040912_raw01 / 002 Background 05-Feb-2020 04:10:53 0.5 6 450 -60 4 3285 3248.6316 0.22583
1 BS_20200205_040912_raw01 / 001 Lite 05-Feb-2020 04:16:21 0.5 6 450 -60 4 37945 3252.8065 9.5901
1 BS_20200205_040912_raw01 / 002 Lite 05-Feb-2020 04:17:12 0.5 6 450 -60 4 28550 3251.5871 6.9412
1 BS_20200205_040912_raw01 / 003 Lite 05-Feb-2020 04:17:56 0.5 6 450 -60 4 30459 3252.1416 7.4832
1 BS_20200205_040912_raw01 / 004 Lite 05-Feb-2020 04:18:54 0.5 6 450 -60 4 39780 3253.3336 10.0384
1 BS_20200205_040912_raw01 / 003 Background 05-Feb-2020 04:19:49 0.5 6 450 -60 4 3286 3247.7844 0.2257
1 BS_20200205_040912_raw01 / 004 Background 05-Feb-2020 04:21:08 0.5 6 450 -60 4 3283 3247.9112 0.22582
2 BS_20200205_040912_raw01 / 005 Background 05-Feb-2020 04:26:07 0.3 6 500 -60 4 3282 3247.8478 0.22458
2 BS_20200205_040912_raw01 / 006 Background 05-Feb-2020 04:27:50 0.3 6 500 -60 4 3283 3247.6339 0.22505
2 BS_20200205_040912_raw01 / 005 Lite 05-Feb-2020 04:28:33 0.3 6 500 -60 4 47257 3253.9619 13.2737
2 BS_20200205_040912_raw01 / 006 Lite 05-Feb-2020 04:29:27 0.3 6 500 -60 4 40884 3253.2578 11.1669
2 BS_20200205_040912_raw01 / 007 Lite 05-Feb-2020 04:30:21 0.3 6 500 -60 4 39995 3253.106 11.0877
2 BS_20200205_040912_raw01 / 008 Lite 05-Feb-2020 04:31:12 0.3 6 500 -60 4 53413 3254.7488 15.0751
2 BS_20200205_040912_raw01 / 007 Background 05-Feb-2020 04:32:08 0.3 6 500 -60 4 3282 3247.5047 0.22478
2 BS_20200205_040912_raw01 / 008 Background 05-Feb-2020 04:32:55 0.3 6 500 -60 4 3283 3247.5521 0.22484
3 BS_20200205_040912_raw01 / 009 Background 05-Feb-2020 04:39:00 1 6 550 -60 4 3282 3246.9803 0.22684
3 BS_20200205_040912_raw01 / 010 Background 05-Feb-2020 04:39:30 1 6 550 -60 4 3283 3247.0537 0.22661
3 BS_20200205_040912_raw01 / 009 Lite 05-Feb-2020 04:40:53 1 6 550 -60 4 36119 3251.5201 9.5776
3 BS_20200205_040912_raw01 / 010 Lite 05-Feb-2020 04:42:26 1 6 550 -60 4 34276 3251.6663 9.053
3 BS_20200205_040912_raw01 / 011 Lite 05-Feb-2020 04:42:47 1 6 550 -60 4 40014 3252.3011 10.6859
3 BS_20200205_040912_raw01 / 012 Lite 05-Feb-2020 04:43:35 1 6 550 -60 4 45020 3252.7833 12.2125
3 BS_20200205_040912_raw01 / 011 Background 05-Feb-2020 04:44:33 1 6 550 -60 4 3282 3247.0285 0.22686
3 BS_20200205_040912_raw01 / 012 Background 05-Feb-2020 04:44:57 1 6 550 -60 4 3284 3247.2897 0.2266
4 BS_20200205_040912_raw01 / 013 Background 05-Feb-2020 04:50:06 2 6 600 -60 4 3281 3246.5632 0.22694
4 BS_20200205_040912_raw01 / 014 Background 05-Feb-2020 04:50:41 2 6 600 -60 4 3281 3246.7767 0.22675
4 BS_20200205_040912_raw01 / 013 Lite 05-Feb-2020 04:52:10 2 6 600 -60 4 42741 3252.0122 11.3694
4 BS_20200205_040912_raw01 / 014 Lite 05-Feb-2020 04:53:15 2 6 600 -60 4 49992 3253.398 13.5358
4 BS_20200205_040912_raw01 / 015 Lite 05-Feb-2020 04:53:47 2 6 600 -60 4 42048 3252.2407 11.1772
4 BS_20200205_040912_raw01 / 016 Lite 05-Feb-2020 04:54:13 2 6 600 -60 4 49437 3253.0692 13.1906
4 BS_20200205_040912_raw01 / 015 Background 05-Feb-2020 04:57:21 2 6 600 -60 4 3958 3246.7569 0.22861
4 BS_20200205_040912_raw01 / 016 Background 05-Feb-2020 04:57:37 2 6 600 -60 4 3281 3246.5449 0.22649
5 BS_20200205_040912_raw01 / 017 Background 05-Feb-2020 04:59:29 2 6 650 -60 4 3282 3246.4357 0.22716
5 BS_20200205_040912_raw01 / 018 Background 05-Feb-2020 05:01:13 2 6 650 -60 4 3280 3246.8401 0.22733
5 BS_20200205_040912_raw01 / 017 Lite 05-Feb-2020 05:02:59 2 6 650 -60 4 41721 3252.3616 11.402
5 BS_20200205_040912_raw01 / 018 Lite 05-Feb-2020 05:03:41 2 6 650 -60 4 48565 3253.6424 13.3701
5 BS_20200205_040912_raw01 / 019 Lite 05-Feb-2020 05:04:10 2 6 650 -60 4 47484 3253.3436 13.0216
5 BS_20200205_040912_raw01 / 020 Lite 05-Feb-2020 05:04:41 2 6 650 -60 4 36631 3251.8315 9.7931
5 BS_20200205_040912_raw01 / 019 Background 05-Feb-2020 05:05:56 2 6 650 -60 4 3283 3246.6097 0.22668
5 BS_20200205_040912_raw01 / 020 Background 05-Feb-2020 05:06:21 2 6 650 -60 4 3282 3246.7287 0.22692
6 BS_20200205_040912_raw01 / 021 Background 05-Feb-2020 05:12:54 2 6 690 -60 4 3282 3247.0707 0.22755
6 BS_20200205_040912_raw01 / 022 Background 05-Feb-2020 05:13:27 2 6 690 -60 4 3280 3247.2642 0.22703
6 BS_20200205_040912_raw01 / 021 Lite 05-Feb-2020 05:15:27 2 6 690 -60 4 35722 3253.2627 10.0829
6 BS_20200205_040912_raw01 / 022 Lite 05-Feb-2020 05:15:56 2 6 690 -60 4 34470 3252.9229 9.6921
6 BS_20200205_040912_raw01 / 023 Lite 05-Feb-2020 05:16:29 2 6 690 -60 4 34453 3253.1674 9.7506
6 BS_20200205_040912_raw01 / 024 Lite 05-Feb-2020 05:16:57 2 6 690 -60 4 35171 3253.2988 9.9493
6 BS_20200205_040912_raw01 / 023 Background 05-Feb-2020 05:23:11 2 6 690 -60 4 3284 3247.4082 0.22658
6 BS_20200205_040912_raw01 / 024 Background 05-Feb-2020 05:23:23 2 6 690 -60 4 3285 3247.4229 0.22648
7 BS_20200205_040912_raw01 / 025 Background 05-Feb-2020 05:24:29 30 6 750 -60 4 5272 3265.8439 0.28283
7 BS_20200205_040912_raw01 / 026 Background 05-Feb-2020 05:25:11 30 6 750 -60 4 3452 3267.6519 0.2629
7 BS_20200205_040912_raw01 / 025 Lite 05-Feb-2020 05:27:15 30 6 750 -60 4 7841 3266.4628 0.32738
7 BS_20200205_040912_raw01 / 026 Lite 05-Feb-2020 05:27:55 30 6 750 -60 4 3433 3267.9466 0.26168
7 BS_20200205_040912_raw01 / 027 Lite 05-Feb-2020 05:28:36 30 6 750 -60 4 4803 3268.4206 0.26846
7 BS_20200205_040912_raw01 / 028 Lite 05-Feb-2020 05:29:26 30 6 750 -60 4 5449 3268.1385 0.2744
7 BS_20200205_040912_raw01 / 027 Background 05-Feb-2020 05:30:08 30 6 750 -60 4 4901 3267.6512 0.26695
7 BS_20200205_040912_raw01 / 028 Background 05-Feb-2020 05:30:50 30 6 750 -60 4 3473 3268.4518 0.26234
8 BS_20200205_040912_raw01 / 029 Background 05-Feb-2020 05:35:32 30 6 800 -60 4 3431 3266.4897 0.26284
8 BS_20200205_040912_raw01 / 030 Background 05-Feb-2020 05:36:21 30 6 800 -60 4 3445 3267.7301 0.26283
8 BS_20200205_040912_raw01 / 029 Lite 05-Feb-2020 05:37:52 30 6 800 -60 4 3461 3266.4906 0.26178
8 BS_20200205_040912_raw01 / 030 Lite 05-Feb-2020 05:38:43 30 6 800 -60 4 4557 3267.7346 0.27022
8 BS_20200205_040912_raw01 / 031 Lite 05-Feb-2020 05:39:23 30 6 800 -60 4 5069 3268.4336 0.28923
8 BS_20200205_040912_raw01 / 032 Lite 05-Feb-2020 05:40:04 30 6 800 -60 4 3466 3268.5544 0.26199
8 BS_20200205_040912_raw01 / 031 Background 05-Feb-2020 05:40:58 30 6 800 -60 4 5958 3267.1073 0.29874
8 BS_20200205_040912_raw01 / 032 Background 05-Feb-2020 05:41:40 30 6 800 -60 4 3447 3267.9101 0.26247
9 BS_20200205_040912_raw01 / 033 Background 05-Feb-2020 05:44:27 30 6 850 -60 4 8006 3266.4908 0.31626
9 BS_20200205_040912_raw01 / 034 Background 05-Feb-2020 05:45:23 30 6 850 -60 4 3448 3267.2679 0.26301
9 BS_20200205_040912_raw01 / 033 Lite 05-Feb-2020 05:46:55 30 6 850 -60 4 4135 3266.1578 0.26381
9 BS_20200205_040912_raw01 / 034 Lite 05-Feb-2020 05:47:56 30 6 850 -60 4 4789 3267.575 0.27515
9 BS_20200205_040912_raw01 / 035 Lite 05-Feb-2020 05:48:43 30 6 850 -60 4 3450 3267.8458 0.26206
9 BS_20200205_040912_raw01 / 036 Lite 05-Feb-2020 05:49:22 30 6 850 -60 4 7379 3268.4698 0.33279
9 BS_20200205_040912_raw01 / 035 Background 05-Feb-2020 05:50:04 30 6 850 -60 4 3482 3267.5658 0.26249
9 BS_20200205_040912_raw01 / 036 Background 05-Feb-2020 05:50:59 30 6 850 -60 4 3444 3267.6549 0.26284
10 BS_20200205_040912_raw01 / 037 Background 05-Feb-2020 05:54:18 10 6 900 -60 4 3291 3250.9757 0.23484
10 BS_20200205_040912_raw01 / 038 Background 05-Feb-2020 05:54:50 10 6 900 -60 4 3316 3251.571 0.23474
10 BS_20200205_040912_raw01 / 037 Lite 05-Feb-2020 05:54:50 10 6 900 -60 4 3316 3251.571 0.23474
10 BS_20200205_040912_raw01 / 038 Lite 05-Feb-2020 05:56:59 10 6 900 -60 4 3314 3252.1626 0.23406
10 BS_20200205_040912_raw01 / 039 Lite 05-Feb-2020 05:57:23 10 6 900 -60 4 3317 3252.2349 0.23377
10 BS_20200205_040912_raw01 / 040 Lite 05-Feb-2020 05:57:45 10 6 900 -60 4 3309 3252.641 0.23382
10 BS_20200205_040912_raw01 / 039 Background 05-Feb-2020 05:58:57 10 6 900 -60 4 3309 3251.1936 0.23457
10 BS_20200205_040912_raw01 / 040 Background 05-Feb-2020 05:59:21 10 6 900 -60 4 3319 3251.9772 0.23462
11 BS_20200205_040912_raw01 / 041 Background 05-Feb-2020 06:01:53 10 6 950 -60 4 3317 3251.37 0.23527
11 BS_20200205_040912_raw01 / 042 Background 05-Feb-2020 06:02:33 10 6 950 -60 4 3305 3251.3878 0.23464
11 BS_20200205_040912_raw01 / 041 Lite 05-Feb-2020 06:03:56 10 6 950 -60 4 4110 3250.8875 0.23854
11 BS_20200205_040912_raw01 / 042 Lite 05-Feb-2020 06:04:33 10 6 950 -60 4 3299 3251.2515 0.23402
11 BS_20200205_040912_raw01 / 043 Lite 05-Feb-2020 06:05:05 10 6 950 -60 4 3311 3251.2997 0.23417
11 BS_20200205_040912_raw01 / 044 Lite 05-Feb-2020 06:05:32 10 6 950 -60 4 7104 3251.4331 0.26228
11 BS_20200205_040912_raw01 / 043 Background 05-Feb-2020 06:06:48 10 6 950 -60 4 3315 3250.3229 0.23421
11 BS_20200205_040912_raw01 / 044 Background 05-Feb-2020 06:07:13 10 6 950 -60 4 3313 3251.0602 0.23432
Grouped Image file: BS_20200205_N001_grouped.html
Grouped Image file: BS_20200205_N002_grouped.html
Grouped Image file: BS_20200205_N003_grouped.html
Grouped Image file: BS_20200205_N005_grouped.html
Grouped Image file: BS_20200205_N007_grouped.html
Grouped Image file: BS_20200205_N009_grouped.html
Grouped Image file: BS_20200205_N020_grouped.html
Grouped Image file: BS_20200205_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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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: 07-Feb-2020 15:19:30
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