BS_20190402_085912_raw01 - Day 4

REVISION DATE: 04-Apr-2019 16:51:43

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 Temperature Pre Amplifier Gain Matrix Max (ADU) Matrix Mean (ADU) Matrix % std
1 BS_20190402_085912_raw01 / 001 Dark 02-Apr-2019 08:59:12 60 2 -60 4 6775 4058.2766 0.31478
1 BS_20190402_085912_raw01 / 002 Dark 02-Apr-2019 09:00:16 60 2 -60 4 4324 4059.4976 0.29214
1 BS_20190402_085912_raw01 / 001 Lite 02-Apr-2019 09:01:29 60 2 -60 4 40634 4796.283 80.1874
1 BS_20190402_085912_raw01 / 002 Lite 02-Apr-2019 09:02:33 60 2 -60 4 43619 4796.537 80.1867
1 BS_20190402_085912_raw01 / 003 Lite 02-Apr-2019 09:03:36 60 2 -60 4 40415 4796.7347 80.1998
1 BS_20190402_085912_raw01 / 004 Lite 02-Apr-2019 09:04:40 60 2 -60 4 40391 4796.612 80.1909
1 BS_20190402_085912_raw01 / 003 Dark 02-Apr-2019 09:05:53 60 2 -60 4 5638 4059.4405 0.30119
1 BS_20190402_085912_raw01 / 004 Dark 02-Apr-2019 09:06:57 60 2 -60 4 11273 4059.6417 0.37375
2 BS_20190402_085912_raw01 / 005 Dark 02-Apr-2019 09:09:16 60 2 -60 4 7440 4058.2536 0.3269
2 BS_20190402_085912_raw01 / 006 Dark 02-Apr-2019 09:10:19 60 2 -60 4 4304 4059.3541 0.29222
2 BS_20190402_085912_raw01 / 005 Lite 02-Apr-2019 09:11:33 60 2 -60 4 40713 4796.4829 80.2258
2 BS_20190402_085912_raw01 / 006 Lite 02-Apr-2019 09:12:36 60 2 -60 4 40627 4796.5698 80.2152
2 BS_20190402_085912_raw01 / 007 Lite 02-Apr-2019 09:13:40 60 2 -60 4 40523 4796.6296 80.2158
2 BS_20190402_085912_raw01 / 008 Lite 02-Apr-2019 09:14:43 60 2 -60 4 40558 4796.5331 80.2198
2 BS_20190402_085912_raw01 / 007 Dark 02-Apr-2019 09:15:57 60 2 -60 4 11729 4059.2165 0.41228
2 BS_20190402_085912_raw01 / 008 Dark 02-Apr-2019 09:17:00 60 2 -60 4 4340 4059.3404 0.29323
3 BS_20190402_085912_raw01 / 009 Dark 02-Apr-2019 09:19:06 60 2 -60 4 5101 4058.1254 0.29162
3 BS_20190402_085912_raw01 / 010 Dark 02-Apr-2019 09:20:10 60 2 -60 4 7531 4059.2674 0.31814
3 BS_20190402_085912_raw01 / 009 Lite 02-Apr-2019 09:21:23 60 2 -60 4 40825 4796.1458 80.2318
3 BS_20190402_085912_raw01 / 010 Lite 02-Apr-2019 09:22:27 60 2 -60 4 40620 4796.5687 80.2333
3 BS_20190402_085912_raw01 / 011 Lite 02-Apr-2019 09:23:30 60 2 -60 4 40636 4796.5857 80.2483
3 BS_20190402_085912_raw01 / 012 Lite 02-Apr-2019 09:24:33 60 2 -60 4 40546 4796.7684 80.2423
3 BS_20190402_085912_raw01 / 011 Dark 02-Apr-2019 09:25:47 60 2 -60 4 10069 4059.0399 0.33535
3 BS_20190402_085912_raw01 / 012 Dark 02-Apr-2019 09:26:50 60 2 -60 4 6700 4059.3119 0.31401
4 BS_20190402_085912_raw01 / 013 Dark 02-Apr-2019 10:07:22 15 2 -60 4 4094 4015.9515 0.23368
4 BS_20190402_085912_raw01 / 014 Dark 02-Apr-2019 10:07:40 15 2 -60 4 9805 4019.9162 0.3152
4 BS_20190402_085912_raw01 / 013 Lite 02-Apr-2019 10:08:09 15 2 -60 4 42356 4039.9468 11.4676
4 BS_20190402_085912_raw01 / 014 Lite 02-Apr-2019 10:08:28 15 2 -60 4 42514 4042.0403 11.4815
4 BS_20190402_085912_raw01 / 015 Lite 02-Apr-2019 10:08:46 15 2 -60 4 42474 4042.8388 11.4811
4 BS_20190402_085912_raw01 / 016 Lite 02-Apr-2019 10:09:04 15 2 -60 4 42550 4043.3292 11.5458
4 BS_20190402_085912_raw01 / 015 Dark 02-Apr-2019 10:09:33 15 2 -60 4 4089 4020.9343 0.23619
4 BS_20190402_085912_raw01 / 016 Dark 02-Apr-2019 10:09:51 15 2 -60 4 4107 4022.3579 0.23746
5 BS_20190402_085912_raw01 / 017 Dark 02-Apr-2019 10:19:59 3 2 -60 4 4057 3993.9972 0.21892
5 BS_20190402_085912_raw01 / 018 Dark 02-Apr-2019 10:20:06 3 2 -60 4 4054 3996.6332 0.22057
5 BS_20190402_085912_raw01 / 017 Lite 02-Apr-2019 10:20:22 3 2 -60 4 40108 4024.5362 13.7848
5 BS_20190402_085912_raw01 / 018 Lite 02-Apr-2019 10:20:29 3 2 -60 4 40329 4026.7319 13.7783
5 BS_20190402_085912_raw01 / 019 Lite 02-Apr-2019 10:20:35 3 2 -60 4 40417 4028.2913 13.7836
5 BS_20190402_085912_raw01 / 020 Lite 02-Apr-2019 10:20:42 3 2 -60 4 40215 4029.5349 13.7865
5 BS_20190402_085912_raw01 / 019 Dark 02-Apr-2019 10:20:58 3 2 -60 4 4059 3997.433 0.22061
5 BS_20190402_085912_raw01 / 020 Dark 02-Apr-2019 10:21:05 3 2 -60 4 4059 3999.8138 0.22804
6 BS_20190402_085912_raw01 / 021 Dark 02-Apr-2019 10:35:16 30 6 -60 4 5399 4031.8322 0.26503
6 BS_20190402_085912_raw01 / 022 Dark 02-Apr-2019 10:35:49 30 6 -60 4 6083 4033.4 0.26777
6 BS_20190402_085912_raw01 / 021 Lite 02-Apr-2019 10:36:33 30 6 -60 4 48760 4061.2014 11.406
6 BS_20190402_085912_raw01 / 022 Lite 02-Apr-2019 10:37:06 30 6 -60 4 48662 4061.9716 11.3991
6 BS_20190402_085912_raw01 / 023 Lite 02-Apr-2019 10:37:40 30 6 -60 4 48899 4062.1649 11.4052
6 BS_20190402_085912_raw01 / 024 Lite 02-Apr-2019 10:38:13 30 6 -60 4 48838 4062.3057 11.4014
6 BS_20190402_085912_raw01 / 023 Dark 02-Apr-2019 10:38:57 30 6 -60 4 7040 4033.2801 0.27005
6 BS_20190402_085912_raw01 / 024 Dark 02-Apr-2019 10:39:30 30 6 -60 4 4175 4033.6312 0.25475
7 BS_20190402_085912_raw01 / 025 Dark 02-Apr-2019 10:42:16 0.5 6 -60 4 4037 3981.316 0.21928
7 BS_20190402_085912_raw01 / 026 Dark 02-Apr-2019 10:42:21 0.5 6 -60 4 4037 3981.9936 0.21844
7 BS_20190402_085912_raw01 / 025 Lite 02-Apr-2019 10:42:35 0.5 6 -60 4 47554 4002.2452 16.3803
7 BS_20190402_085912_raw01 / 026 Lite 02-Apr-2019 10:42:40 0.5 6 -60 4 47426 4002.7137 16.3278
7 BS_20190402_085912_raw01 / 027 Lite 02-Apr-2019 10:42:44 0.5 6 -60 4 47496 4002.8295 16.3191
7 BS_20190402_085912_raw01 / 028 Lite 02-Apr-2019 10:42:49 0.5 6 -60 4 47353 4003.1704 16.3129
7 BS_20190402_085912_raw01 / 027 Dark 02-Apr-2019 10:43:03 0.5 6 -60 4 4039 3981.8222 0.21862
7 BS_20190402_085912_raw01 / 028 Dark 02-Apr-2019 10:43:08 0.5 6 -60 4 4037 3982.4165 0.21826
8 BS_20190402_085912_raw01 / 029 Dark 02-Apr-2019 10:46:18 0.05 6 -60 4 4028 3978.0236 0.21999
8 BS_20190402_085912_raw01 / 030 Dark 02-Apr-2019 10:46:21 0.05 6 -60 4 4028 3977.9986 0.21948
8 BS_20190402_085912_raw01 / 029 Lite 02-Apr-2019 10:46:35 0.05 6 -60 4 61362 4027.1019 22.91
8 BS_20190402_085912_raw01 / 030 Lite 02-Apr-2019 10:46:38 0.05 6 -60 4 61118 4027.1918 22.9072
8 BS_20190402_085912_raw01 / 031 Lite 02-Apr-2019 10:46:42 0.05 6 -60 4 61364 4027.3987 22.9674
8 BS_20190402_085912_raw01 / 032 Lite 02-Apr-2019 10:46:45 0.05 6 -60 4 61327 4027.6499 22.9847
8 BS_20190402_085912_raw01 / 031 Dark 02-Apr-2019 10:46:59 0.05 6 -60 4 4036 3978.1143 0.22009
8 BS_20190402_085912_raw01 / 032 Dark 02-Apr-2019 10:47:02 0.05 6 -60 4 4030 3978.1839 0.22059
9 BS_20190402_085912_raw01 / 033 Dark 02-Apr-2019 10:50:28 18 6 -60 4 4858 4020.6621 0.23769
9 BS_20190402_085912_raw01 / 034 Dark 02-Apr-2019 10:50:49 18 6 -60 4 5513 4023.2098 0.24252
9 BS_20190402_085912_raw01 / 033 Lite 02-Apr-2019 10:51:21 18 6 -60 4 47010 4045.9772 12.3904
9 BS_20190402_085912_raw01 / 034 Lite 02-Apr-2019 10:51:42 18 6 -60 4 47024 4047.4632 12.3675
9 BS_20190402_085912_raw01 / 035 Lite 02-Apr-2019 10:52:04 18 6 -60 4 47037 4047.8636 12.3617
9 BS_20190402_085912_raw01 / 036 Lite 02-Apr-2019 10:52:25 18 6 -60 4 47048 4048.0942 12.3536
9 BS_20190402_085912_raw01 / 035 Dark 02-Apr-2019 10:52:57 18 6 -60 4 4099 4023.0302 0.24
9 BS_20190402_085912_raw01 / 036 Dark 02-Apr-2019 10:53:18 18 6 -60 4 4110 4024.1921 0.24055
10 BS_20190402_085912_raw01 / 037 Dark 02-Apr-2019 10:58:10 60 6 -60 4 5479 4056.6324 0.29688
10 BS_20190402_085912_raw01 / 038 Dark 02-Apr-2019 10:59:13 60 6 -60 4 9250 4056.9694 0.38659
10 BS_20190402_085912_raw01 / 037 Lite 02-Apr-2019 11:00:27 60 6 -60 4 28137 4087.8662 8.4251
10 BS_20190402_085912_raw01 / 038 Lite 02-Apr-2019 11:01:30 60 6 -60 4 27992 4088.0605 8.4205
10 BS_20190402_085912_raw01 / 039 Lite 02-Apr-2019 11:02:34 60 6 -60 4 28013 4088.0222 8.4175
10 BS_20190402_085912_raw01 / 040 Lite 02-Apr-2019 11:03:37 60 6 -60 4 28207 4088.0846 8.4194
10 BS_20190402_085912_raw01 / 039 Dark 02-Apr-2019 11:04:51 60 6 -60 4 4313 4056.9323 0.29372
10 BS_20190402_085912_raw01 / 040 Dark 02-Apr-2019 11:05:54 60 6 -60 4 7671 4057.1571 0.31343
11 BS_20190402_085912_raw01 / 041 Dark 02-Apr-2019 11:13:28 0.7 13 -60 4 4036 3981.633 0.2197
11 BS_20190402_085912_raw01 / 042 Dark 02-Apr-2019 11:13:32 0.7 13 -60 4 4038 3982.6998 0.21865
11 BS_20190402_085912_raw01 / 041 Lite 02-Apr-2019 11:13:47 0.7 13 -60 4 46895 4000.4347 13.0001
11 BS_20190402_085912_raw01 / 042 Lite 02-Apr-2019 11:13:51 0.7 13 -60 4 46832 4001.3366 12.9998
11 BS_20190402_085912_raw01 / 043 Lite 02-Apr-2019 11:13:56 0.7 13 -60 4 46975 4001.802 12.9976
11 BS_20190402_085912_raw01 / 044 Lite 02-Apr-2019 11:14:00 0.7 13 -60 4 46918 4002.01 12.9812
11 BS_20190402_085912_raw01 / 043 Dark 02-Apr-2019 11:14:15 0.7 13 -60 4 4036 3982.9473 0.21874
11 BS_20190402_085912_raw01 / 044 Dark 02-Apr-2019 11:14:19 0.7 13 -60 4 4038 3983.7868 0.21843
12 BS_20190402_085912_raw01 / 045 Dark 02-Apr-2019 11:17:57 0.15 13 -60 4 4030 3977.6423 0.22046
12 BS_20190402_085912_raw01 / 046 Dark 02-Apr-2019 11:18:01 0.15 13 -60 4 4035 3977.9554 0.22111
12 BS_20190402_085912_raw01 / 045 Lite 02-Apr-2019 11:18:14 0.15 13 -60 4 41588 4016.311 17.0129
12 BS_20190402_085912_raw01 / 046 Lite 02-Apr-2019 11:18:18 0.15 13 -60 4 41716 4016.4554 17.0249
12 BS_20190402_085912_raw01 / 047 Lite 02-Apr-2019 11:18:21 0.15 13 -60 4 41779 4016.745 17.0406
12 BS_20190402_085912_raw01 / 048 Lite 02-Apr-2019 11:18:25 0.15 13 -60 4 41703 4016.8018 17.0297
12 BS_20190402_085912_raw01 / 047 Dark 02-Apr-2019 11:18:38 0.15 13 -60 4 4035 3977.9618 0.22015
12 BS_20190402_085912_raw01 / 048 Dark 02-Apr-2019 11:18:42 0.15 13 -60 4 4028 3978.1257 0.22063

Grouped Image file: BS_20190402_N001_grouped.html
Grouped Image file: BS_20190402_N002_grouped.html
Grouped Image file: BS_20190402_N003_grouped.html
Grouped Image file: BS_20190402_N005_grouped.html
Grouped Image file: BS_20190402_N007_grouped.html
Grouped Image file: BS_20190402_N009_grouped.html
Grouped Image file: BS_20190402_N020_grouped.html
Grouped Image file: BS_20190402_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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Figure 13 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.



Graphs below are from the labjack temperatures. The dashed lines how where data where collected. D = Dark, L = lite and B = background. The Number is the fits last three numbers in the filename.


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Figure 1 C: LabJack Measurements in the h5 file. Internal temperatures etc during data collections


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Figure 2 C:


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Figure 3 C:


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Figure 4 C:


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Figure 5 C:


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Figure 6 C:



Graphs below are Mike sphere monitoring program run during calibrations.


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Figure 1 D: Mikes sphere monitoring program run during calibrations



pwd: E:\zflora\mldata2\mobyrefresh\characterization\moby-l279\bs3cal
Date: 04-Apr-2019 16:51:47
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