RS_20200205_040927_raw01 - Day 2

REVISION DATE: 07-Feb-2020 15:57:33

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

Table caption: RS05 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 RS_20200205_040927_raw01 / 001 Background 05-Feb-2020 04:09:27 30 6 450 -60 4 3586 3344.474 0.28145
1 RS_20200205_040927_raw01 / 002 Background 05-Feb-2020 04:11:14 30 6 450 -60 4 3557 3343.9915 0.28208
1 RS_20200205_040927_raw01 / 001 Lite 05-Feb-2020 04:16:47 30 6 450 -60 4 4588 3342.3409 0.284
1 RS_20200205_040927_raw01 / 002 Lite 05-Feb-2020 04:17:38 30 6 450 -60 4 5676 3344.2608 0.31263
1 RS_20200205_040927_raw01 / 003 Lite 05-Feb-2020 04:18:22 30 6 450 -60 4 3571 3345.4925 0.28571
1 RS_20200205_040927_raw01 / 004 Lite 05-Feb-2020 04:19:19 30 6 450 -60 4 3548 3344.0364 0.28459
1 RS_20200205_040927_raw01 / 003 Background 05-Feb-2020 04:20:15 30 6 450 -60 4 4451 3343.7646 0.29368
1 RS_20200205_040927_raw01 / 004 Background 05-Feb-2020 04:21:34 30 6 450 -60 4 4963 3342.0098 0.2937
2 RS_20200205_040927_raw01 / 005 Background 05-Feb-2020 04:26:22 30 6 500 -60 4 5549 3342.4136 0.30858
2 RS_20200205_040927_raw01 / 006 Background 05-Feb-2020 04:27:20 30 6 500 -60 4 3523 3341.6668 0.2846
2 RS_20200205_040927_raw01 / 005 Lite 05-Feb-2020 04:28:59 30 6 500 -60 4 6016 3339.6948 0.3153
2 RS_20200205_040927_raw01 / 006 Lite 05-Feb-2020 04:29:52 30 6 500 -60 4 3547 3341.323 0.28572
2 RS_20200205_040927_raw01 / 007 Lite 05-Feb-2020 04:30:47 30 6 500 -60 4 3571 3341.2236 0.2863
2 RS_20200205_040927_raw01 / 008 Lite 05-Feb-2020 04:31:39 30 6 500 -60 4 3568 3341.3517 0.28659
2 RS_20200205_040927_raw01 / 007 Background 05-Feb-2020 04:32:34 30 6 500 -60 4 3545 3340.6241 0.28633
2 RS_20200205_040927_raw01 / 008 Background 05-Feb-2020 04:33:22 30 6 500 -60 4 4353 3341.3129 0.29051
3 RS_20200205_040927_raw01 / 009 Background 05-Feb-2020 04:39:20 2 6 550 -60 4 3343 3306.1627 0.23528
3 RS_20200205_040927_raw01 / 010 Background 05-Feb-2020 04:39:56 2 6 550 -60 4 3343 3306.2609 0.23543
3 RS_20200205_040927_raw01 / 009 Lite 05-Feb-2020 04:41:20 2 6 550 -60 4 37828 3310.3824 9.622
3 RS_20200205_040927_raw01 / 010 Lite 05-Feb-2020 04:42:38 2 6 550 -60 4 34484 3309.7096 8.673
3 RS_20200205_040927_raw01 / 011 Lite 05-Feb-2020 04:43:13 2 6 550 -60 4 31257 3309.7847 7.7906
3 RS_20200205_040927_raw01 / 012 Lite 05-Feb-2020 04:43:54 2 6 550 -60 4 34556 3310.0226 8.7286
3 RS_20200205_040927_raw01 / 011 Background 05-Feb-2020 04:45:00 2 6 550 -60 4 3342 3305.5525 0.23533
3 RS_20200205_040927_raw01 / 012 Background 05-Feb-2020 04:45:24 2 6 550 -60 4 3342 3305.9081 0.23544
4 RS_20200205_040927_raw01 / 013 Background 05-Feb-2020 04:50:27 3 6 600 -60 4 3347 3307.2781 0.23756
4 RS_20200205_040927_raw01 / 014 Background 05-Feb-2020 04:51:08 3 6 600 -60 4 3343 3307.1809 0.23786
4 RS_20200205_040927_raw01 / 013 Lite 05-Feb-2020 04:52:37 3 6 600 -60 4 32606 3310.4066 8.2879
4 RS_20200205_040927_raw01 / 014 Lite 05-Feb-2020 04:53:42 3 6 600 -60 4 35773 3311.0364 9.1346
4 RS_20200205_040927_raw01 / 015 Lite 05-Feb-2020 04:54:13 3 6 600 -60 4 35311 3311.1597 9.0464
4 RS_20200205_040927_raw01 / 016 Lite 05-Feb-2020 04:54:40 3 6 600 -60 4 29960 3310.5696 7.5533
4 RS_20200205_040927_raw01 / 015 Background 05-Feb-2020 04:58:23 3 6 600 -60 4 3345 3305.8017 0.23745
4 RS_20200205_040927_raw01 / 016 Background 05-Feb-2020 04:58:41 3 6 600 -60 4 4144 3306.7675 0.24044
5 RS_20200205_040927_raw01 / 017 Background 05-Feb-2020 04:59:56 3 6 650 -60 4 3348 3306.9317 0.23742
5 RS_20200205_040927_raw01 / 018 Background 05-Feb-2020 05:00:46 3 6 650 -60 4 3346 3306.0196 0.23736
5 RS_20200205_040927_raw01 / 017 Lite 05-Feb-2020 05:03:09 3 6 650 -60 4 29058 3309.3642 7.8272
5 RS_20200205_040927_raw01 / 018 Lite 05-Feb-2020 05:04:08 3 6 650 -60 4 34768 3310.1927 9.5195
5 RS_20200205_040927_raw01 / 019 Lite 05-Feb-2020 05:04:37 3 6 650 -60 4 33228 3310.2211 9.0478
5 RS_20200205_040927_raw01 / 020 Lite 05-Feb-2020 05:05:08 3 6 650 -60 4 31786 3310.1687 8.6155
5 RS_20200205_040927_raw01 / 019 Background 05-Feb-2020 05:06:23 3 6 650 -60 4 3343 3305.2553 0.2378
5 RS_20200205_040927_raw01 / 020 Background 05-Feb-2020 05:06:48 3 6 650 -60 4 3344 3306.0779 0.23768
6 RS_20200205_040927_raw01 / 021 Background 05-Feb-2020 05:13:18 1.5 6 690 -60 4 3340 3303.9586 0.23515
6 RS_20200205_040927_raw01 / 022 Background 05-Feb-2020 05:13:55 1.5 6 690 -60 4 3339 3303.4839 0.23498
6 RS_20200205_040927_raw01 / 021 Lite 05-Feb-2020 05:15:54 1.5 6 690 -60 4 49622 3310.2497 12.9133
6 RS_20200205_040927_raw01 / 022 Lite 05-Feb-2020 05:16:24 1.5 6 690 -60 4 45894 3309.8835 11.8182
6 RS_20200205_040927_raw01 / 023 Lite 05-Feb-2020 05:16:57 1.5 6 690 -60 4 48432 3310.2471 12.4427
6 RS_20200205_040927_raw01 / 024 Lite 05-Feb-2020 05:17:24 1.5 6 690 -60 4 42656 3309.3939 10.836
6 RS_20200205_040927_raw01 / 023 Background 05-Feb-2020 05:24:25 1.5 6 690 -60 4 3344 3303.9379 0.23548
6 RS_20200205_040927_raw01 / 024 Background 05-Feb-2020 05:24:36 1.5 6 690 -60 4 3342 3304.0182 0.23516
7 RS_20200205_040927_raw01 / 025 Background 05-Feb-2020 05:25:13 1.5 6 750 -60 4 3343 3304.1057 0.2352
7 RS_20200205_040927_raw01 / 026 Background 05-Feb-2020 05:25:44 1.5 6 750 -60 4 3342 3303.9007 0.23537
7 RS_20200205_040927_raw01 / 025 Lite 05-Feb-2020 05:27:47 1.5 6 750 -60 4 34389 3308.4915 9.5931
7 RS_20200205_040927_raw01 / 026 Lite 05-Feb-2020 05:28:28 1.5 6 750 -60 4 41151 3309.5673 11.7409
7 RS_20200205_040927_raw01 / 027 Lite 05-Feb-2020 05:29:09 1.5 6 750 -60 4 44716 3310.2497 12.897
7 RS_20200205_040927_raw01 / 028 Lite 05-Feb-2020 05:29:59 1.5 6 750 -60 4 39108 3309.4272 11.1471
7 RS_20200205_040927_raw01 / 027 Background 05-Feb-2020 05:30:41 1.5 6 750 -60 4 3340 3303.8847 0.23495
7 RS_20200205_040927_raw01 / 028 Background 05-Feb-2020 05:31:26 1.5 6 750 -60 4 3342 3303.7778 0.23518
8 RS_20200205_040927_raw01 / 029 Background 05-Feb-2020 05:36:13 1.2 6 800 -60 4 3340 3303.9529 0.23448
8 RS_20200205_040927_raw01 / 030 Background 05-Feb-2020 05:36:55 1.2 6 800 -60 4 3339 3303.7248 0.23449
8 RS_20200205_040927_raw01 / 029 Lite 05-Feb-2020 05:38:25 1.2 6 800 -60 4 41320 3309.2013 11.8273
8 RS_20200205_040927_raw01 / 030 Lite 05-Feb-2020 05:39:16 1.2 6 800 -60 4 35328 3308.2595 9.9958
8 RS_20200205_040927_raw01 / 031 Lite 05-Feb-2020 05:39:57 1.2 6 800 -60 4 37255 3308.792 10.7308
8 RS_20200205_040927_raw01 / 032 Lite 05-Feb-2020 05:41:04 1.2 6 800 -60 4 35256 3308.505 9.9676
8 RS_20200205_040927_raw01 / 031 Background 05-Feb-2020 05:41:31 1.2 6 800 -60 4 3339 3303.6238 0.23447
8 RS_20200205_040927_raw01 / 032 Background 05-Feb-2020 05:42:13 1.2 6 800 -60 4 3339 3302.8825 0.2349
9 RS_20200205_040927_raw01 / 033 Background 05-Feb-2020 05:45:07 1 6 850 -60 4 3340 3301.8493 0.23411
9 RS_20200205_040927_raw01 / 034 Background 05-Feb-2020 05:45:56 1 6 850 -60 4 3338 3301.5763 0.23447
9 RS_20200205_040927_raw01 / 033 Lite 05-Feb-2020 05:47:28 1 6 850 -60 4 42263 3306.7948 10.5198
9 RS_20200205_040927_raw01 / 034 Lite 05-Feb-2020 05:48:29 1 6 850 -60 4 44896 3307.4544 11.2978
9 RS_20200205_040927_raw01 / 035 Lite 05-Feb-2020 05:49:16 1 6 850 -60 4 44796 3307.3091 11.2034
9 RS_20200205_040927_raw01 / 036 Lite 05-Feb-2020 05:49:55 1 6 850 -60 4 43149 3307.2946 10.8345
9 RS_20200205_040927_raw01 / 035 Background 05-Feb-2020 05:50:38 1 6 850 -60 4 3343 3302.1673 0.23424
9 RS_20200205_040927_raw01 / 036 Background 05-Feb-2020 05:51:36 1 6 850 -60 4 3338 3301.7456 0.23435
10 RS_20200205_040927_raw01 / 037 Background 05-Feb-2020 05:54:56 0.5 6 900 -60 4 3340 3300.4549 0.2356
10 RS_20200205_040927_raw01 / 038 Background 05-Feb-2020 05:55:23 0.5 6 900 -60 4 3340 3300.1844 0.23613
10 RS_20200205_040927_raw01 / 037 Lite 05-Feb-2020 05:57:05 0.5 6 900 -60 4 40995 3304.7271 9.7184
10 RS_20200205_040927_raw01 / 038 Lite 05-Feb-2020 05:57:32 0.5 6 900 -60 4 39188 3304.2278 9.3044
10 RS_20200205_040927_raw01 / 039 Lite 05-Feb-2020 05:57:55 0.5 6 900 -60 4 45468 3305.1224 10.8118
10 RS_20200205_040927_raw01 / 040 Lite 05-Feb-2020 05:58:18 0.5 6 900 -60 4 44883 3305.1513 10.7893
10 RS_20200205_040927_raw01 / 039 Background 05-Feb-2020 05:59:29 0.5 6 900 -60 4 3339 3300.7583 0.2365
10 RS_20200205_040927_raw01 / 040 Background 05-Feb-2020 05:59:53 0.5 6 900 -60 4 3339 3300.3174 0.23646
11 RS_20200205_040927_raw01 / 041 Background 05-Feb-2020 06:02:32 10 6 950 -60 4 3381 3314.9018 0.24795
11 RS_20200205_040927_raw01 / 042 Background 05-Feb-2020 06:03:05 10 6 950 -60 4 3378 3316.1833 0.24944
11 RS_20200205_040927_raw01 / 041 Lite 05-Feb-2020 06:04:28 10 6 950 -60 4 3376 3314.2899 0.24801
11 RS_20200205_040927_raw01 / 042 Lite 05-Feb-2020 06:05:05 10 6 950 -60 4 3385 3314.634 0.24964
11 RS_20200205_040927_raw01 / 043 Lite 05-Feb-2020 06:05:33 10 6 950 -60 4 3394 3315.4904 0.25086
11 RS_20200205_040927_raw01 / 044 Lite 05-Feb-2020 06:06:04 10 6 950 -60 4 3392 3315.2263 0.25148
11 RS_20200205_040927_raw01 / 043 Background 05-Feb-2020 06:07:16 10 6 950 -60 4 3394 3313.2232 0.2499
11 RS_20200205_040927_raw01 / 044 Background 05-Feb-2020 06:07:46 10 6 950 -60 4 3392 3314.3745 0.25163
Grouped Image file: RS_20200205_N001_grouped.html
Grouped Image file: RS_20200205_N002_grouped.html
Grouped Image file: RS_20200205_N003_grouped.html
Grouped Image file: RS_20200205_N005_grouped.html
Grouped Image file: RS_20200205_N007_grouped.html
Grouped Image file: RS_20200205_N009_grouped.html
Grouped Image file: RS_20200205_N020_grouped.html
Grouped Image file: RS_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.

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.

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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.

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.

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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 15:57:35
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