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Telescope bsm_nm date 231028 (yymmdd)

Run at 10/30/2023 10:03:39 EDT

Warnings and Errors

INFO 317 total images for bsm_nm on 231028
WARNING 78 images without target object photometry
WARNING 29 images with target off center

INFO total images: Number of images processed during the pipeline run

ERROR IMAGE FILE MISSING: This is a serious error. It could be the result of a disk failure or defect in the pipeline scripts.

WARNING images not plate solved at observatory: This indicates images that may of poor quality or under exposed. Good quality images should be plate solved.

WARNING images suspected over exposed: The target object maxadu is over the linearity limit for the camera.

WARNING images without target object photometry: The pipeline performs full frame photometry on every image. This error indicates no photometric result was found that lies with 15 arcsec of the target object. This may be expected for extended objects. For point objects it may indicate a poor-quality image, bad exposure, etc. It makes it more likely the requestor will be not be getting good photometry.

ERROR images with invalid binning: This is a serious error since the pipeline cannot handle multiple binning levels for a given telescope. These images do not get properly processed and will be unusable.

ERROR images with invalid read mode: This indicates the camera configuration at the observatory has changed from its standard and the images are likely out of sync with the calibration images.

ERROR images with invalid image type: This is likely a due to calibration images getting stored on the telescope computer in the wrong directory and getting transferred to the pipeline as science images.

WARNING images with target off center: This indicates that, for plate solved images, the target is 25% of the radius of the image from the center of the frame. This may be intentional as when it is off center to include comp stars. However, it may indicate problems with the telescope pointing.

ERROR images with duplicate times: The frame date and time are identical to another image. This is not possible and represents an error in the pipeline processing.

ERROR Dark and Bias must be at the same temperature: The set of bias and dark calibration masters selected were not at the same temperature. This needs to be investigate and corrected. See calibration file section of this report for more information.

ERROR Science images must be at the same temperature: The science images were taken at more than one temperature. The pipeline will pick the most majority temperature and apply calibration images for that temperature to all images. See the CCD set point section of this report for more information.

WARNING dark masters more than 180 days old: The dark and bias master files in use are getting old. Consider getting new ones. See Calibration File Age section for details.

WARNING flat masters more than 15 days old: The flat master file(s) in use are getting old. Consider getting new ones. See Calibration File Age section for details.

Calibration File Age in Days

Filters used this night B,I,R,V
datenite imagetyp filename set_temp filter binning exptime storage_loc Age(d) Active
231020 bias bsm_nm/bsm_nm3/calibration/231020/bias_temp-20_bin2.fits -20.0 None 2 None fs 9 Y
231020 dark bsm_nm/bsm_nm3/calibration/231020/dark_1.0sec_temp-20_bin2.fits -20.0 None 2 1.00 fs 9 Y
231020 dark bsm_nm/bsm_nm3/calibration/231020/dark_3.0sec_temp-20_bin2.fits -20.0 None 2 3.00 fs 9 Y
231020 dark bsm_nm/bsm_nm3/calibration/231020/dark_10.0sec_temp-20_bin2.fits -20.0 None 2 10.00 fs 9 Y
231020 dark bsm_nm/bsm_nm3/calibration/231020/dark_30.0sec_temp-20_bin2.fits -20.0 None 2 30.00 fs 9 Y
231020 dark bsm_nm/bsm_nm3/calibration/231020/dark_100.0sec_temp-20_bin2.fits -20.0 None 2 100.00 fs 9 Y
231020 dark bsm_nm/bsm_nm3/calibration/231020/dark_300.0sec_temp-20_bin2.fits -20.0 None 2 300.00 fs 9 Y
231028 flat bsm_nm/bsm_nm3/calibration/231028/flatB_bin2.fits NaN B 2 None fs 1 Y
231028 flat bsm_nm/bsm_nm3/calibration/231028/flatI_bin2.fits NaN I 2 None fs 1 Y
231028 flat bsm_nm/bsm_nm3/calibration/231028/flatR_bin2.fits NaN R 2 None fs 1 Y
231028 flat bsm_nm/bsm_nm3/calibration/231028/flatV_bin2.fits NaN V 2 None fs 1 Y
230616 bias bsm_nm/bsm_nm3/calibration/230616/bias_temp-15_bin2.fits -15.0 None 2 None s3 135
221102 bias bsm_nm/bsm_nm3/calibration/221102/bias_temp-25_bin2.fits -25.0 None 2 None s3 361
220430 bias bsm_nm/bsm_nm3/calibration/220430/bias_temp-10_bin2.fits -10.0 None 2 None s3 547
201026 bias bsm_nm/bsm_nm3/calibration/201026/bias_temp-30_bin2.fits -30.0 None 2 None fs 1098
230616 dark bsm_nm/bsm_nm3/calibration/230616/dark_1.0sec_temp-15_bin2.fits -15.0 None 2 1.00 s3 135
230616 dark bsm_nm/bsm_nm3/calibration/230616/dark_3.0sec_temp-15_bin2.fits -15.0 None 2 3.00 s3 135
230616 dark bsm_nm/bsm_nm3/calibration/230616/dark_10.0sec_temp-15_bin2.fits -15.0 None 2 10.00 s3 135
230616 dark bsm_nm/bsm_nm3/calibration/230616/dark_30.0sec_temp-15_bin2.fits -15.0 None 2 30.00 s3 135
230616 dark bsm_nm/bsm_nm3/calibration/230616/dark_100.0sec_temp-15_bin2.fits -15.0 None 2 100.00 s3 135
230616 dark bsm_nm/bsm_nm3/calibration/230616/dark_300.0sec_temp-15_bin2.fits -15.0 None 2 300.00 s3 135
221102 dark bsm_nm/bsm_nm3/calibration/221102/dark_1.0sec_temp-25_bin2.fits -25.0 None 2 1.00 s3 361
221102 dark bsm_nm/bsm_nm3/calibration/221102/dark_3.0sec_temp-25_bin2.fits -25.0 None 2 3.00 s3 361
221102 dark bsm_nm/bsm_nm3/calibration/221102/dark_10.0sec_temp-25_bin2.fits -25.0 None 2 10.00 s3 361
221102 dark bsm_nm/bsm_nm3/calibration/221102/dark_30.0sec_temp-25_bin2.fits -25.0 None 2 30.00 s3 361
221102 dark bsm_nm/bsm_nm3/calibration/221102/dark_100.0sec_temp-25_bin2.fits -25.0 None 2 100.00 s3 361
221102 dark bsm_nm/bsm_nm3/calibration/221102/dark_300.0sec_temp-25_bin2.fits -25.0 None 2 300.00 s3 361
220430 dark bsm_nm/bsm_nm3/calibration/220430/dark_1.0sec_temp-10_bin2.fits -10.0 None 2 1.00 s3 547
220430 dark bsm_nm/bsm_nm3/calibration/220430/dark_3.0sec_temp-10_bin2.fits -10.0 None 2 3.00 s3 547
220430 dark bsm_nm/bsm_nm3/calibration/220430/dark_10.0sec_temp-10_bin2.fits -10.0 None 2 10.00 s3 547
220430 dark bsm_nm/bsm_nm3/calibration/220430/dark_30.0sec_temp-10_bin2.fits -10.0 None 2 30.00 s3 547
220430 dark bsm_nm/bsm_nm3/calibration/220430/dark_100.0sec_temp-10_bin2.fits -10.0 None 2 100.00 s3 547
220430 dark bsm_nm/bsm_nm3/calibration/220430/dark_300.0sec_temp-10_bin2.fits -10.0 None 2 300.00 s3 547
201026 dark bsm_nm/bsm_nm3/calibration/201026/dark_1.0sec_temp-30_bin2.fits -30.0 None 2 1.00 fs 1098
201026 dark bsm_nm/bsm_nm3/calibration/201026/dark_3.0sec_temp-30_bin2.fits -30.0 None 2 3.00 fs 1098
201026 dark bsm_nm/bsm_nm3/calibration/201026/dark_10.0sec_temp-30_bin2.fits -30.0 None 2 10.00 fs 1098
201026 dark bsm_nm/bsm_nm3/calibration/201026/dark_30.0sec_temp-30_bin2.fits -30.0 None 2 30.00 fs 1098
201026 dark bsm_nm/bsm_nm3/calibration/201026/dark_100.0sec_temp-30_bin2.fits -30.0 None 2 100.00 fs 1098
201026 dark bsm_nm/bsm_nm3/calibration/201026/dark_300.0sec_temp-30_bin2.fits -30.0 None 2 300.00 fs 1098
231028 flat bsm_nm/bsm_nm3/calibration/231028/flatSG_bin2.fits NaN SG 2 None fs 1
231028 flat bsm_nm/bsm_nm3/calibration/231028/flatSI_bin2.fits NaN SI 2 None fs 1
231028 flat bsm_nm/bsm_nm3/calibration/231028/flatSR_bin2.fits NaN SR 2 None fs 1

Weather and Moon information

no SOD jpg

CCD set point vs operating temperature

Maximum delta temperature SET - CCD 0.50 C

Pointing Performance

Suspected Over Exposed Images

Suspected Under Exposed Images

DateTime project_ objid filter exptime airmass fwhm instmag err maxadu new_exp
2023-10-29 08:35:56 AAVSO_ P382_ DCMA_ AUTO V0347_AUR V 180.000 1.07 2.86 7.618 0.076 3283
2023-10-29 04:26:59 AAVSO_ P48and60_ SFRA_ AUTO R_Aur B 30.000 1.94 3.28 8.670 0.111 895
2023-10-29 04:27:52 AAVSO_ P48and60_ SFRA_ AUTO R_Aur V 6.990 1.94 3.67 9.031 0.063 278
2023-10-29 02:43:56 AAVSO_ P48and60_ SFRA_ AUTO WZ_Dra V 20.000 1.87 3.91 8.465 0.058 467

Images by Target Object

('59_Cyg',)

AUID 000-BCN-023

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 05:35:10.500 AAVSO_ P74_ jcmat_ AUTO V 0.750 1.47 4.0 a0311.fits Y 2.55 2.896 0.002 35844 3
2023-10-29 05:36:37.500 AAVSO_ P74_ jcmat_ AUTO B 0.940 1.48 4.1 a0312.fits Y 2.19 2.357 0.001 59845 11
2023-10-29 05:38:08.000 AAVSO_ P74_ jcmat_ AUTO V 0.750 1.49 4.1 a0313.fits Y 2.87 2.515 0.001 40600 3
2023-10-29 05:39:26.000 AAVSO_ P74_ jcmat_ AUTO B 0.940 1.49 4.1 a0314.fits Y 2.40 2.394 0.001 57394 11

('6_Cas',)

AUID 000-BCS-000

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 02:03:13.500 AAVSO_ P115_ ETOA_ AUTO B 1.500 1.25 -2.3 a0148.fits Y 3.56 10
2023-10-29 02:05:59.500 AAVSO_ P115_ ETOA_ AUTO V 0.750 1.25 -2.3 a0149.fits Y 3.62 20
2023-10-29 02:10:11.000 AAVSO_ P115_ ETOA_ AUTO I 0.530 1.24 -2.2 a0150.fits Y 3.40 4.748 0.004 4966 30

('AS_Cas',)

AUID 000-BDJ-581

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 02:24:37 AAVSO_ P145_ BETB_ AUTO B 120.000 1.29 -2.6 a0154.fits Y 3.50 6.304 0.022 3612
2023-10-29 02:26:47 AAVSO_ P145_ BETB_ AUTO B 120.000 1.29 -2.5 a0155.fits Y 3.51 6.280 0.022 3395
2023-10-29 02:28:58 AAVSO_ P145_ BETB_ AUTO B 120.000 1.28 -2.5 a0156.fits Y 3.61 6.292 0.021 3274
2023-10-29 02:31:11 AAVSO_ P145_ BETB_ AUTO V 60.000 1.28 -2.5 a0157.fits Y 3.94 5.598 0.010 3786
2023-10-29 02:32:22 AAVSO_ P145_ BETB_ AUTO V 60.000 1.28 -2.4 a0158.fits Y 3.94 5.564 0.010 3660
2023-10-29 02:33:31 AAVSO_ P145_ BETB_ AUTO V 60.000 1.28 -2.4 a0159.fits Y 3.91 5.563 0.010 3782
2023-10-29 02:34:45 AAVSO_ P145_ BETB_ AUTO R 40.000 1.28 -2.4 a0160.fits Y 3.92 5.458 0.008 3603
2023-10-29 02:35:35 AAVSO_ P145_ BETB_ AUTO R 40.000 1.28 -2.4 a0161.fits Y 3.92 5.446 0.008 3537
2023-10-29 02:36:25 AAVSO_ P145_ BETB_ AUTO R 40.000 1.27 -2.4 a0162.fits Y 3.97 5.471 0.008 3087
2023-10-29 02:37:18 AAVSO_ P145_ BETB_ AUTO I 40.000 1.27 -2.4 a0163.fits Y 3.75 6.132 0.011 1909
2023-10-29 02:38:08 AAVSO_ P145_ BETB_ AUTO I 40.000 1.27 -2.3 a0164.fits Y 3.76 6.163 0.011 1994
2023-10-29 02:38:59 AAVSO_ P145_ BETB_ AUTO I 40.000 1.27 -2.3 a0165.fits Y 3.77 6.171 0.011 1875
2023-10-29 06:06:35 AAVSO_ P145_ BETB_ AUTO B 120.000 1.19 1.1 a0331.fits Y 3.02
2023-10-29 06:09:05 AAVSO_ P145_ BETB_ AUTO B 120.000 1.20 1.2 a0332.fits Y 2.54 6.350 0.021 3459
2023-10-29 06:11:16 AAVSO_ P145_ BETB_ AUTO B 120.000 1.20 1.2 a0333.fits Y 2.30 6.388 0.022 3600
2023-10-29 06:13:29 AAVSO_ P145_ BETB_ AUTO V 60.000 1.20 1.3 a0334.fits Y 2.68 5.640 0.009 3716
2023-10-29 06:14:39 AAVSO_ P145_ BETB_ AUTO V 60.000 1.20 1.3 a0335.fits Y 2.75 5.655 0.009 3893
2023-10-29 06:15:48 AAVSO_ P145_ BETB_ AUTO V 60.000 1.20 1.3 a0336.fits Y 2.81 5.672 0.009 3745
2023-10-29 06:17:02 AAVSO_ P145_ BETB_ AUTO R 40.000 1.20 1.3 a0337.fits Y 2.83 5.519 0.007 3888
2023-10-29 06:17:51 AAVSO_ P145_ BETB_ AUTO R 40.000 1.20 1.3 a0338.fits Y 2.84 5.517 0.007 3847
2023-10-29 06:18:41 AAVSO_ P145_ BETB_ AUTO R 40.000 1.20 1.3 a0339.fits Y 2.67 5.518 0.007 3827
2023-10-29 06:19:34 AAVSO_ P145_ BETB_ AUTO I 40.000 1.20 1.4 a0340.fits Y 2.65 6.203 0.009 2227
2023-10-29 06:20:25 AAVSO_ P145_ BETB_ AUTO I 40.000 1.21 1.4 a0341.fits Y 2.76 6.204 0.009 2142
2023-10-29 06:21:15 AAVSO_ P145_ BETB_ AUTO I 40.000 1.21 1.4 a0342.fits Y 2.72 6.206 0.010 1924

('BF_Ori',)

AUID 000-BBJ-751

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 07:46:21 AAVSO_ P168_ HGUA_ AUTO B 90.000 1.62 -2.4 a0373.fits Y 3.15 3.509 0.003 17778
2023-10-29 07:48:21 AAVSO_ P168_ HGUA_ AUTO B 90.000 1.61 -2.4 a0374.fits Y 3.10 3.517 0.003 19523
2023-10-29 07:50:04 AAVSO_ P168_ HGUA_ AUTO V 60.000 1.60 -2.3 a0375.fits Y 3.32 3.558 0.003 16508
2023-10-29 07:51:14 AAVSO_ P168_ HGUA_ AUTO V 60.000 1.60 -2.3 a0376.fits Y 3.39 3.562 0.003 16988
2023-10-29 07:52:27 AAVSO_ P168_ HGUA_ AUTO I 40.000 1.59 -2.3 a0377.fits Y 3.35 5.486 0.007 2671
2023-10-29 07:53:17 AAVSO_ P168_ HGUA_ AUTO I 40.000 1.59 -2.3 a0378.fits Y 3.25 5.467 0.006 3042

('CH_Cyg',)

AUID 000-BCG-667

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 04:48:37.500 AAVSO_ P130_ CCHC_ AUTO B 4.000 1.72 4.8 a0270.fits Y 3.19 3
2023-10-29 04:49:45.500 AAVSO_ P130_ CCHC_ AUTO V 3.000 1.75 4.9 a0271.fits Y 3.67 4.368 0.003 6181 5

('CQ_Tau',)

AUID 000-BBJ-683

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 05:51:08 AAVSO_ P168_ HGUA_ AUTO B 54.260 1.80 -4.3 a0321.fits Y 2.35
2023-10-29 05:52:32 AAVSO_ P168_ HGUA_ AUTO B 54.260 1.78 -4.3 a0322.fits Y 2.39 4.495 0.005 11134
2023-10-29 05:53:41 AAVSO_ P168_ HGUA_ AUTO V 37.950 1.77 -4.3 a0323.fits Y 2.73 4.046 0.003 14703
2023-10-29 05:54:29 AAVSO_ P168_ HGUA_ AUTO V 37.950 1.76 -4.2 a0324.fits Y 2.75 4.026 0.003 15453
2023-10-29 05:55:21 AAVSO_ P168_ HGUA_ AUTO I 40.000 1.75 -4.2 a0325.fits Y 2.92 4.958 0.005 6071
2023-10-29 05:56:11 AAVSO_ P168_ HGUA_ AUTO I 40.000 1.75 -4.2 a0326.fits Y 2.79 4.935 0.005 6686

('CT_Ori',)

AUID 000-BBK-768

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 07:55:20 AAVSO_ P323_ MSD_ AUTO B 60.000 1.41 -2.8 a0379.fits Y 2.73
2023-10-29 07:56:52 AAVSO_ P323_ MSD_ AUTO B 60.000 1.40 -2.8 a0380.fits Y 2.79 4.416 0.004 9399
2023-10-29 07:58:02 AAVSO_ P323_ MSD_ AUTO B 60.000 1.39 -2.7 a0381.fits Y 2.78 4.410 0.004 9936
2023-10-29 07:59:16 AAVSO_ P323_ MSD_ AUTO V 30.000 1.39 -2.7 a0382.fits Y 3.06 4.211 0.004 10864
2023-10-29 07:59:57 AAVSO_ P323_ MSD_ AUTO V 30.000 1.39 -2.7 a0383.fits Y 3.02 4.203 0.004 10299
2023-10-29 08:00:37 AAVSO_ P323_ MSD_ AUTO V 30.000 1.38 -2.7 a0384.fits Y 2.89 4.196 0.003 10786
2023-10-29 08:01:21 AAVSO_ P323_ MSD_ AUTO I 30.000 1.38 -2.7 a0385.fits Y 2.92 4.873 0.005 6282
2023-10-29 08:02:02 AAVSO_ P323_ MSD_ AUTO I 30.000 1.38 -2.7 a0386.fits Y 2.93 4.866 0.005 6336
2023-10-29 08:02:43 AAVSO_ P323_ MSD_ AUTO I 30.000 1.37 -2.7 a0387.fits Y 3.01 4.872 0.005 5587

('EP_Lyr',)

AUID 000-BCW-306

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 03:35:07.000 AAVSO_ P204_ MSD B 30.000 1.49 3.7 a0205.fits Y 3.31
2023-10-29 03:36:08.000 AAVSO_ P204_ MSD B 30.000 1.51 3.7 a0206.fits Y 3.46 4.854 0.005 5059
2023-10-29 03:36:48.000 AAVSO_ P204_ MSD B 30.000 1.51 3.8 a0207.fits Y 3.42 4.846 0.005 5036
2023-10-29 03:37:27.000 AAVSO_ P204_ MSD B 30.000 1.51 3.8 a0208.fits Y 3.29 4.826 0.005 5558
2023-10-29 03:38:21.000 AAVSO_ P204_ MSD V 8.000 1.52 3.8 a0209.fits Y 3.41 5.548 0.006 2673 2
2023-10-29 03:38:56.000 AAVSO_ P204_ MSD V 8.000 1.52 3.8 a0210.fits Y 3.64 5.527 0.006 2573 2
2023-10-29 03:39:32.000 AAVSO_ P204_ MSD V 8.000 1.52 3.8 a0211.fits Y 3.52 5.562 0.006 2432 2
2023-10-29 03:40:11.500 AAVSO_ P204_ MSD I 8.000 1.53 3.8 a0212.fits Y 3.40 6.574 0.010 1182 2
2023-10-29 03:40:47.000 AAVSO_ P204_ MSD I 8.000 1.53 3.8 a0213.fits Y 3.66 6.593 0.010 1040 2
2023-10-29 03:41:23.000 AAVSO_ P204_ MSD I 8.000 1.54 3.8 a0214.fits Y 3.42 6.586 0.010 1040 2

('EQ_Cas',)

AUID 000-BCS-059

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 05:10:26 AAVSO_ P323_ MSD_ AUTO B 60.000 1.09 0.7 a0290.fits Y 2.83
2023-10-29 05:11:56 AAVSO_ P323_ MSD_ AUTO B 60.000 1.09 0.8 a0291.fits Y 2.95 5.722 0.010 3492
2023-10-29 05:13:07 AAVSO_ P323_ MSD_ AUTO B 60.000 1.09 0.8 a0292.fits Y 2.80 5.716 0.010 3526
2023-10-29 05:14:20 AAVSO_ P323_ MSD_ AUTO V 30.000 1.09 0.8 a0293.fits Y 2.99 5.321 0.007 4676
2023-10-29 05:15:00 AAVSO_ P323_ MSD_ AUTO V 30.000 1.09 0.8 a0294.fits Y 3.14 5.330 0.007 4269
2023-10-29 05:15:40 AAVSO_ P323_ MSD_ AUTO V 30.000 1.09 0.8 a0295.fits Y 3.15 5.329 0.007 4099
2023-10-29 05:16:24 AAVSO_ P323_ MSD_ AUTO I 30.000 1.09 0.8 a0296.fits Y 3.04 5.890 0.008 2341
2023-10-29 05:17:04 AAVSO_ P323_ MSD_ AUTO I 30.000 1.09 0.9 a0297.fits Y 3.04 5.872 0.008 2694
2023-10-29 05:17:43 AAVSO_ P323_ MSD_ AUTO I 30.000 1.10 0.9 a0298.fits Y 3.05 5.885 0.008 2535

('IX_Dra',)

AUID 000-BCB-615

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 01:19:37 AAVSO_ P153_ SFY_ AUTO V 170.900 1.33 2.6 a0127.fits Y 3.93
2023-10-29 01:22:59 AAVSO_ P153_ SFY_ AUTO V 170.900 1.33 2.6 a0128.fits Y 3.84
2023-10-29 01:25:59 AAVSO_ P153_ SFY_ AUTO V 170.900 1.34 2.7 a0129.fits Y 3.87
2023-10-29 01:29:00 AAVSO_ P153_ SFY_ AUTO V 170.900 1.34 2.7 a0130.fits Y 3.85

('KIC_8462852',)

AUID 000-BLS-628

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 04:34:28 AAVSO_ P328_ BPEC_ AUTO B 120.000 1.45 3.9 a0262.fits Y 3.32 5.071 0.007 5861
2023-10-29 04:36:59 AAVSO_ P328_ BPEC_ AUTO B 120.000 1.47 4.0 a0263.fits Y 3.39
2023-10-29 04:39:13 AAVSO_ P328_ BPEC_ AUTO V 60.000 1.48 4.0 a0264.fits Y 3.72
2023-10-29 04:40:24 AAVSO_ P328_ BPEC_ AUTO V 60.000 1.49 4.0 a0265.fits Y 3.71
2023-10-29 04:41:37 AAVSO_ P328_ BPEC_ AUTO R 60.000 1.49 4.0 a0266.fits Y 3.71 5.095 0.006 4149
2023-10-29 04:42:48 AAVSO_ P328_ BPEC_ AUTO R 60.000 1.50 4.1 a0267.fits Y 3.90 5.126 0.006 3934
2023-10-29 04:44:01 AAVSO_ P328_ BPEC_ AUTO I 90.000 1.51 4.1 a0268.fits Y 3.67 5.898 0.009 1947
2023-10-29 04:45:41 AAVSO_ P328_ BPEC_ AUTO I 90.000 1.52 4.1 a0269.fits Y 3.46 5.868 0.009 2258

('MZ_Cyg',)

AUID 000-BDN-379

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 04:51:47 AAVSO_ P323_ MSD_ AUTO B 60.000 1.24 2.9 a0272.fits Y 2.85
2023-10-29 04:53:17 AAVSO_ P323_ MSD_ AUTO B 60.000 1.25 3.0 a0273.fits Y 3.23
2023-10-29 04:54:27 AAVSO_ P323_ MSD_ AUTO B 60.000 1.25 3.0 a0274.fits Y 3.17 5.916 0.011 2615
2023-10-29 04:55:42 AAVSO_ P323_ MSD_ AUTO V 30.000 1.25 3.0 a0275.fits Y 3.76 5.790 0.008 2139
2023-10-29 04:56:22 AAVSO_ P323_ MSD_ AUTO V 30.000 1.26 3.0 a0276.fits Y 3.62 5.774 0.008 2097
2023-10-29 04:57:02 AAVSO_ P323_ MSD_ AUTO V 30.000 1.26 3.0 a0277.fits Y 3.51 5.748 0.008 2278
2023-10-29 04:57:46 AAVSO_ P323_ MSD_ AUTO I 30.000 1.26 3.0 a0278.fits Y 3.36 6.673 0.012 1095
2023-10-29 04:58:27 AAVSO_ P323_ MSD_ AUTO I 30.000 1.26 3.1 a0279.fits Y 3.32 6.655 0.012 1153
2023-10-29 04:59:06 AAVSO_ P323_ MSD_ AUTO I 30.000 1.27 3.1 a0280.fits Y 3.42 6.660 0.012 1014

('NGC_869',)

AUID None

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 01:54:10 AAVSO_ P294_ MTJA_ AUTO B 46.350 1.73 -5.0 a0139.fits Y 3.58
2023-10-29 01:55:07 AAVSO_ P294_ MTJA_ AUTO B 46.350 1.73 -5.0 a0140.fits Y 3.63
2023-10-29 01:56:04 AAVSO_ P294_ MTJA_ AUTO B 46.350 1.72 -4.9 a0141.fits Y 3.77
2023-10-29 01:57:04 AAVSO_ P294_ MTJA_ AUTO V 23.110 1.72 -4.9 a0142.fits Y 4.01 4.399 0.005 11819
2023-10-29 01:57:37 AAVSO_ P294_ MTJA_ AUTO V 23.110 1.72 -4.9 a0143.fits Y 4.00 4.447 0.005 18440
2023-10-29 01:58:11 AAVSO_ P294_ MTJA_ AUTO V 23.110 1.71 -4.9 a0144.fits Y 4.02 4.426 0.005 14245
2023-10-29 01:58:48 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.71 -4.9 a0145.fits Y 3.95 6.145 0.016 5906
2023-10-29 01:59:27 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.70 -4.9 a0146.fits Y 3.87
2023-10-29 02:00:08 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.70 -4.9 a0147.fits Y 3.89
2023-10-29 02:49:50 AAVSO_ P294_ MTJA_ AUTO B 46.350 1.47 -4.0 a0173.fits Y 3.50
2023-10-29 02:50:47 AAVSO_ P294_ MTJA_ AUTO B 46.350 1.47 -4.0 a0174.fits Y 3.34 6.340 0.025 31782
2023-10-29 02:51:44 AAVSO_ P294_ MTJA_ AUTO B 46.350 1.47 -4.0 a0175.fits Y 3.33
2023-10-29 02:52:44 AAVSO_ P294_ MTJA_ AUTO V 23.110 1.46 -4.0 a0176.fits Y 3.93 6.546 0.027 17520
2023-10-29 02:53:17 AAVSO_ P294_ MTJA_ AUTO V 23.110 1.46 -4.0 a0177.fits Y 3.71 4.863 0.011 4176
2023-10-29 02:53:50 AAVSO_ P294_ MTJA_ AUTO V 23.110 1.46 -4.0 a0178.fits Y 3.63 4.845 0.013 4226
2023-10-29 02:54:27 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.46 -4.0 a0179.fits Y 3.48
2023-10-29 02:55:08 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.45 -4.0 a0180.fits Y 3.75
2023-10-29 02:55:48 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.45 -3.9 a0181.fits Y 3.54 6.002 0.022 1971
2023-10-29 03:43:41 AAVSO_ P294_ MTJA_ AUTO B 46.350 1.31 -3.1 a0215.fits Y 3.30
2023-10-29 03:44:38 AAVSO_ P294_ MTJA_ AUTO B 46.350 1.30 -3.1 a0216.fits Y 3.11
2023-10-29 03:45:35 AAVSO_ P294_ MTJA_ AUTO B 46.350 1.30 -3.1 a0217.fits Y 3.26
2023-10-29 03:46:35 AAVSO_ P294_ MTJA_ AUTO V 23.110 1.30 -3.1 a0218.fits Y 3.72
2023-10-29 03:47:08 AAVSO_ P294_ MTJA_ AUTO V 23.110 1.30 -3.1 a0219.fits Y 3.51
2023-10-29 03:47:41 AAVSO_ P294_ MTJA_ AUTO V 23.110 1.30 -3.1 a0220.fits Y 3.48 4.847 0.011 3982
2023-10-29 03:48:18 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.30 -3.1 a0221.fits Y 3.41 5.992 0.022 1837
2023-10-29 03:48:57 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.29 -3.1 a0222.fits Y 4.14
2023-10-29 03:49:38 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.29 -3.0 a0223.fits Y 3.98 6.091 0.028 1453

('Pi_Aqr',)

AUID 000-BCT-640

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 05:29:10.500 AAVSO_ P74_ jcmat_ AUTO V 0.750 1.42 2.5 a0307.fits Y 3
2023-10-29 05:30:15.500 AAVSO_ P74_ jcmat_ AUTO B 0.880 1.42 2.5 a0308.fits Y 12
2023-10-29 05:31:34.000 AAVSO_ P74_ jcmat_ AUTO V 0.750 1.43 2.6 a0309.fits Y 3
2023-10-29 05:32:39.000 AAVSO_ P74_ jcmat_ AUTO B 0.880 1.44 2.6 a0310.fits Y 12

('RR_Tau',)

AUID 000-BBJ-836

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 05:42:31 AAVSO_ P168_ HGUA_ AUTO B 90.000 1.89 -4.5 a0315.fits Y 2.98
2023-10-29 05:44:33 AAVSO_ P168_ HGUA_ AUTO B 90.000 1.85 -4.5 a0316.fits Y 2.97 6.555 0.028 3396
2023-10-29 05:46:17 AAVSO_ P168_ HGUA_ AUTO V 60.000 1.84 -4.4 a0317.fits Y 3.08 6.266 0.018 3026
2023-10-29 05:47:26 AAVSO_ P168_ HGUA_ AUTO V 60.000 1.83 -4.4 a0318.fits Y 3.17 6.266 0.018 2908
2023-10-29 05:48:40 AAVSO_ P168_ HGUA_ AUTO I 40.000 1.82 -4.4 a0319.fits Y 2.98 7.375 0.025 856
2023-10-29 05:49:31 AAVSO_ P168_ HGUA_ AUTO I 40.000 1.81 -4.4 a0320.fits Y 2.99 7.395 0.025 842

('RW_Aur',)

AUID 000-BBH-936

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 05:20:51 AAVSO_ P178_ BPEC_ AUTO B 40.000 1.73 -4.3 a0299.fits Y 3.02
2023-10-29 05:22:02 AAVSO_ P178_ BPEC_ AUTO B 40.000 1.71 -4.3 a0300.fits Y 2.85 4.917 0.006 6477
2023-10-29 05:22:56 AAVSO_ P178_ BPEC_ AUTO V 20.000 1.70 -4.3 a0301.fits Y 3.11 4.890 0.005 5461
2023-10-29 05:23:26 AAVSO_ P178_ BPEC_ AUTO V 20.000 1.70 -4.3 a0302.fits Y 3.04 4.881 0.005 5768
2023-10-29 05:24:00 AAVSO_ P178_ BPEC_ AUTO R 20.000 1.69 -4.3 a0303.fits Y 3.13 4.626 0.004 7178
2023-10-29 05:24:29 AAVSO_ P178_ BPEC_ AUTO R 20.000 1.69 -4.3 a0304.fits Y 3.06 4.607 0.004 7644
2023-10-29 05:25:03 AAVSO_ P178_ BPEC_ AUTO I 20.000 1.69 -4.3 a0305.fits Y 2.92 5.608 0.007 3080
2023-10-29 05:25:33 AAVSO_ P178_ BPEC_ AUTO I 20.000 1.68 -4.3 a0306.fits Y 2.89 5.585 0.007 3326

('RZ_Psc',)

AUID 000-BCW-837

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 09:03:52 AAVSO_ P381_ MMH_ AUTO B 150.000 1.38 3.4 a0410.fits Y 3.11
2023-10-29 09:06:52 AAVSO_ P381_ MMH_ AUTO B 150.000 1.40 3.4 a0411.fits Y 3.09
2023-10-29 09:09:36 AAVSO_ P381_ MMH_ AUTO V 75.000 1.41 3.5 a0412.fits Y 3.11
2023-10-29 09:11:01 AAVSO_ P381_ MMH_ AUTO V 75.000 1.42 3.5 a0413.fits Y 3.39 4.749 0.006 7369
2023-10-29 09:12:30 AAVSO_ P381_ MMH_ AUTO R 75.000 1.43 3.5 a0414.fits Y 3.25 4.548 0.006 9307
2023-10-29 09:13:56 AAVSO_ P381_ MMH_ AUTO R 75.000 1.43 3.5 a0415.fits Y 3.46 4.595 0.006 8137
2023-10-29 09:15:23 AAVSO_ P381_ MMH_ AUTO I 75.000 1.44 3.6 a0416.fits Y 3.51 5.762 0.010 2846
2023-10-29 09:16:48 AAVSO_ P381_ MMH_ AUTO I 75.000 1.45 3.6 a0417.fits Y 3.15 5.734 0.011 3607

('R_Aqr',)

AUID 000-BCR-898

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 02:58:07.000 AAVSO_ P48and60_ SFRA_ AUTO B 20.000 1.61 -1.3 a0182.fits Y 3.33
2023-10-29 02:58:56.000 AAVSO_ P48and60_ SFRA_ AUTO B 20.000 1.60 -1.3 a0183.fits Y 3.26 5.021 0.005 4462
2023-10-29 02:59:30.000 AAVSO_ P48and60_ SFRA_ AUTO V 10.000 1.60 -1.3 a0184.fits Y 3.54 3.719 0.003 14838
2023-10-29 02:59:51.000 AAVSO_ P48and60_ SFRA_ AUTO V 10.000 1.60 -1.3 a0185.fits Y 3.53 3.751 0.003 12898
2023-10-29 03:00:38.000 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.60 -1.3 a0186.fits Y 3.43 3.291 0.002 16956 5
2023-10-29 03:01:37.000 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.60 -1.3 a0187.fits Y 3.81 3.283 0.002 18592 5
2023-10-29 03:03:03.500 AAVSO_ P48and60_ SFRA_ AUTO I 1.000 1.60 -1.2 a0188.fits Y 2.93 3.227 0.002 19058 10

('R_Aur',)

AUID 000-BBJ-127

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 04:25:59.000 AAVSO_ P48and60_ SFRA_ AUTO B 30.000 1.95 -5.4 a0257.fits Y 3.58
2023-10-29 04:26:59.000 AAVSO_ P48and60_ SFRA_ AUTO B 30.000 1.94 -5.4 a0258.fits Y 3.28 8.670 0.111 895
2023-10-29 04:27:52.000 AAVSO_ P48and60_ SFRA_ AUTO V 6.990 1.94 -5.4 a0259.fits Y 3.67 9.031 0.063 278 2
2023-10-29 04:29:14.500 AAVSO_ P48and60_ SFRA_ AUTO R 1.560 1.93 -5.4 a0260.fits Y 4.13 7.059 0.012 522 10
2023-10-29 04:31:26.000 AAVSO_ P48and60_ SFRA_ AUTO I 0.800 1.92 -5.3 a0261.fits Y 3.58 6.365 0.008 975 13

('R_Lyn',)

AUID 000-BBM-269

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 06:24:10.000 AAVSO_ P48and60_ SFRA_ AUTO B 29.670 1.82 -5.2 a0343.fits Y 3.11
2023-10-29 06:24:50.000 AAVSO_ P48and60_ SFRA_ AUTO B 29.670 1.82 -5.2 a0344.fits Y 3.27
2023-10-29 06:25:33.000 AAVSO_ P48and60_ SFRA_ AUTO V 15.310 1.81 -5.1 a0345.fits Y 3.60 2.626 0.002 32894
2023-10-29 06:25:58.000 AAVSO_ P48and60_ SFRA_ AUTO V 15.310 1.81 -5.1 a0346.fits Y 3.30 2.568 0.001 38712
2023-10-29 06:26:55.000 AAVSO_ P48and60_ SFRA_ AUTO R 4.000 1.81 -5.1 a0347.fits Y 3.37 2.841 0.002 28355 5
2023-10-29 06:28:28.500 AAVSO_ P48and60_ SFRA_ AUTO I 1.000 1.80 -5.1 a0348.fits Y 2.67 4.391 0.003 8128 10

('ST_Cyg',)

AUID 000-BCL-775

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 03:19:38.000 AAVSO_ P48and60_ SFRA_ AUTO B 60.000 1.18 2.2 a0193.fits Y 3.05 5.092 0.006 5026
2023-10-29 03:21:09.000 AAVSO_ P48and60_ SFRA_ AUTO B 60.000 1.19 2.3 a0194.fits Y 3.15 5.517 0.008 3386
2023-10-29 03:22:23.000 AAVSO_ P48and60_ SFRA_ AUTO V 10.000 1.19 2.3 a0195.fits Y 3.53 5.755 0.007 2163
2023-10-29 03:22:43.000 AAVSO_ P48and60_ SFRA_ AUTO V 10.000 1.19 2.3 a0196.fits Y 3.34 5.764 0.007 2348
2023-10-29 03:23:32.500 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.19 2.3 a0197.fits Y 3.28 5.805 0.007 1983 5
2023-10-29 03:24:36.500 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.19 2.3 a0198.fits Y 3.35 5.887 0.007 1542 5
2023-10-29 03:25:46.500 AAVSO_ P48and60_ SFRA_ AUTO I 3.000 1.19 2.3 a0199.fits Y 3.51 4.727 0.004 5378 5

('SY_Dra',)

AUID 000-BCV-847

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 01:33:10 AAVSO_ P300_ ZKRA_ AUTO B 300.000 1.35 3.4 a0131.fits Y 3.80
2023-10-29 01:38:34 AAVSO_ P300_ ZKRA_ AUTO B 300.000 1.37 3.5 a0132.fits Y 3.76 5.819 0.019 4793
2023-10-29 01:44:07 AAVSO_ P300_ ZKRA_ AUTO V 146.460 1.39 3.6 a0133.fits Y 3.89 4.953 0.007 5986
2023-10-29 01:46:43 AAVSO_ P300_ ZKRA_ AUTO V 146.460 1.39 3.7 a0134.fits Y 3.91 4.986 0.007 5692
2023-10-29 01:49:24 AAVSO_ P300_ ZKRA_ AUTO R 49.570 1.40 3.7 a0135.fits Y 3.88 3.910 0.003 13405
2023-10-29 01:50:24 AAVSO_ P300_ ZKRA_ AUTO R 49.570 1.40 3.7 a0136.fits Y 3.83 3.891 0.003 15464
2023-10-29 01:51:26 AAVSO_ P300_ ZKRA_ AUTO I 18.090 1.40 3.7 a0137.fits Y 3.67 3.886 0.003 15279
2023-10-29 01:51:54 AAVSO_ P300_ ZKRA_ AUTO I 18.090 1.41 3.7 a0138.fits Y 3.65 3.871 0.003 14298

('SZ_Mon',)

AUID 000-BCW-384

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 08:04:36 AAVSO_ P323_ MSD_ AUTO B 60.000 1.89 -3.3 a0388.fits Y 2.98
2023-10-29 08:06:07 AAVSO_ P323_ MSD_ AUTO B 60.000 1.87 -3.3 a0389.fits Y 3.15 4.713 0.005 6124
2023-10-29 08:07:17 AAVSO_ P323_ MSD_ AUTO B 60.000 1.86 -3.3 a0390.fits Y 2.76 4.708 0.005 6096
2023-10-29 08:08:30 AAVSO_ P323_ MSD_ AUTO V 30.000 1.85 -3.3 a0391.fits Y 3.26 4.398 0.004 7118
2023-10-29 08:09:10 AAVSO_ P323_ MSD_ AUTO V 30.000 1.84 -3.2 a0392.fits Y 3.25 4.389 0.004 7672
2023-10-29 08:09:49 AAVSO_ P323_ MSD_ AUTO V 30.000 1.84 -3.2 a0393.fits Y 3.26 4.382 0.004 7034
2023-10-29 08:10:34 AAVSO_ P323_ MSD_ AUTO I 30.000 1.83 -3.2 a0394.fits Y 3.38 5.107 0.005 3664
2023-10-29 08:11:15 AAVSO_ P323_ MSD_ AUTO I 30.000 1.82 -3.2 a0395.fits Y 3.33 5.108 0.005 4041
2023-10-29 08:11:55 AAVSO_ P323_ MSD_ AUTO I 30.000 1.82 -3.2 a0396.fits Y 3.33 5.117 0.005 3717

('S_Cas',)

AUID 000-BBC-742

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 04:05:08 AAVSO_ P48and60_ SFRA_ AUTO B 20.000 1.35 -1.8 a0237.fits Y 3.38
2023-10-29 04:05:39 AAVSO_ P48and60_ SFRA_ AUTO B 20.000 1.35 -1.8 a0238.fits Y 4.12
2023-10-29 04:06:12 AAVSO_ P48and60_ SFRA_ AUTO V 10.000 1.35 -1.8 a0239.fits Y 3.75
2023-10-29 04:06:32 AAVSO_ P48and60_ SFRA_ AUTO V 10.000 1.35 -1.8 a0240.fits Y 3.70
2023-10-29 04:07:19 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.35 -1.8 a0241.fits Y 3.57 5
2023-10-29 04:08:18 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.35 -1.7 a0242.fits Y 3.35 5
2023-10-29 04:09:45 AAVSO_ P48and60_ SFRA_ AUTO I 1.000 1.35 -1.7 a0243.fits Y 3.09 10

('S_Ori',)

AUID 000-BBJ-409

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 07:28:18 AAVSO_ P48and60_ SFRA_ AUTO B 40.000 1.63 -2.6 a0361.fits Y 3.21
2023-10-29 07:29:27 AAVSO_ P48and60_ SFRA_ AUTO B 40.000 1.62 -2.5 a0362.fits Y 3.25 6.602 0.020 1799
2023-10-29 07:30:20 AAVSO_ P48and60_ SFRA_ AUTO V 15.000 1.62 -2.5 a0363.fits Y 3.38 5.669 0.008 2605
2023-10-29 07:30:45 AAVSO_ P48and60_ SFRA_ AUTO V 15.000 1.62 -2.5 a0364.fits Y 3.49 5.678 0.008 2411
2023-10-29 07:31:38 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.61 -2.5 a0365.fits Y 3.41 5.228 0.005 3434 5
2023-10-29 07:32:38 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.61 -2.5 a0366.fits Y 3.54 5.199 0.005 3568 5
2023-10-29 07:34:05 AAVSO_ P48and60_ SFRA_ AUTO I 1.000 1.60 -2.5 a0367.fits Y 3.49 4.981 0.004 3811 10

('T_Cam',)

AUID 000-BBH-252

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 04:12:23.000 AAVSO_ P48and60_ SFRA_ AUTO B 60.000 1.72 -5.0 a0244.fits Y 3.44 4.823 0.006 6372
2023-10-29 04:13:35.000 AAVSO_ P48and60_ SFRA_ AUTO B 60.000 1.71 -5.0 a0245.fits Y 3.50 4.842 0.006 5856
2023-10-29 04:14:48.000 AAVSO_ P48and60_ SFRA_ AUTO V 11.840 1.71 -5.0 a0246.fits Y 3.71 4.237 0.003 7697
2023-10-29 04:15:09.000 AAVSO_ P48and60_ SFRA_ AUTO V 11.840 1.71 -5.0 a0247.fits Y 3.56 4.226 0.003 7809
2023-10-29 04:15:56.500 AAVSO_ P48and60_ SFRA_ AUTO R 3.940 1.71 -5.0 a0248.fits Y 3.34 3.417 0.002 18672 4
2023-10-29 04:17:05.000 AAVSO_ P48and60_ SFRA_ AUTO I 1.850 1.70 -4.9 a0249.fits Y 3.02 3.357 0.002 22093 6

('T_Cas',)

AUID 000-BBB-554

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 03:51:44.000 AAVSO_ P48and60_ SFRA_ AUTO B 10.000 1.11 -1.1 a0224.fits Y 3.44
2023-10-29 03:52:04.000 AAVSO_ P48and60_ SFRA_ AUTO B 10.000 1.11 -1.1 a0225.fits Y 3.80
2023-10-29 03:52:42.500 AAVSO_ P48and60_ SFRA_ AUTO V 5.000 1.11 -1.1 a0226.fits Y 3.65 6.179 0.008 1423 3
2023-10-29 03:53:38.500 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.11 -1.1 a0227.fits Y 3.55 4.522 0.004 6854 5
2023-10-29 03:54:38.000 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.11 -1.0 a0228.fits Y 3.38 4.506 0.004 6200 5
2023-10-29 03:56:05.500 AAVSO_ P48and60_ SFRA_ AUTO I 1.000 1.11 -1.0 a0229.fits Y 3.20 4.127 0.003 9619 10

('T_Cep',)

AUID 000-BCN-399

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 03:27:43.000 AAVSO_ P48and60_ SFRA_ AUTO B 15.000 1.28 1.7 a0200.fits Y 3.82
2023-10-29 03:28:27.000 AAVSO_ P48and60_ SFRA_ AUTO B 15.000 1.28 1.8 a0201.fits Y 4.10 4.575 0.004 4498
2023-10-29 03:29:22.000 AAVSO_ P48and60_ SFRA_ AUTO V 3.000 1.28 1.8 a0202.fits Y 3.96 4.447 0.003 5967 5
2023-10-29 03:30:57.500 AAVSO_ P48and60_ SFRA_ AUTO R 0.970 1.28 1.8 a0203.fits Y 3.45 3.737 0.002 13922 11
2023-10-29 03:32:48.500 AAVSO_ P48and60_ SFRA_ AUTO I 0.500 1.29 1.8 a0204.fits Y 3.57 3.416 0.002 17266 10

('UX_Ori',)

AUID 000-BBH-818

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 06:30:57 AAVSO_ P168_ HGUA_ AUTO B 90.000 1.84 -3.1 a0349.fits Y 2.71 4.435 0.005 10721
2023-10-29 06:32:58 AAVSO_ P168_ HGUA_ AUTO B 90.000 1.82 -3.1 a0350.fits Y 2.75 4.443 0.005 11052
2023-10-29 06:34:42 AAVSO_ P168_ HGUA_ AUTO V 60.000 1.81 -3.0 a0351.fits Y 2.99 4.185 0.004 12082
2023-10-29 06:35:52 AAVSO_ P168_ HGUA_ AUTO V 60.000 1.80 -3.0 a0352.fits Y 3.11 4.197 0.004 11369
2023-10-29 06:37:05 AAVSO_ P168_ HGUA_ AUTO I 40.000 1.79 -3.0 a0353.fits Y 2.94 5.698 0.008 2770
2023-10-29 06:37:55 AAVSO_ P168_ HGUA_ AUTO I 40.000 1.78 -3.0 a0354.fits Y 3.09 5.716 0.008 2574

('V0347_AUR',)

AUID 000-BDH-019

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 08:14:01 AAVSO_ P382_ DCMA_ AUTO B 300.000 1.08 -1.3 a0397.fits Y 3.11
2023-10-29 08:19:12 AAVSO_ P382_ DCMA_ AUTO B 300.000 1.08 -1.2 a0398.fits Y 2.83
2023-10-29 08:24:22 AAVSO_ P382_ DCMA_ AUTO B 300.000 1.08 -1.1 a0399.fits Y 2.97
2023-10-29 08:29:35 AAVSO_ P382_ DCMA_ AUTO V 180.000 1.07 -1.0 a0400.fits Y 2.93 7.722 0.084 3259
2023-10-29 08:32:45 AAVSO_ P382_ DCMA_ AUTO V 180.000 1.07 -0.9 a0401.fits Y 2.88 7.842 0.096 3260
2023-10-29 08:35:56 AAVSO_ P382_ DCMA_ AUTO V 180.000 1.07 -0.9 a0402.fits Y 2.86 7.618 0.076 3283
2023-10-29 08:39:06 AAVSO_ P382_ DCMA_ AUTO V 180.000 1.07 -0.8 a0403.fits Y 2.94
2023-10-29 08:42:16 AAVSO_ P382_ DCMA_ AUTO V 180.000 1.07 -0.8 a0404.fits Y 3.03 7.658 0.082 3235
2023-10-29 08:45:31 AAVSO_ P382_ DCMA_ AUTO I 180.000 1.07 -0.7 a0405.fits Y 3.06 6.219 0.014 2335
2023-10-29 08:48:41 AAVSO_ P382_ DCMA_ AUTO I 180.000 1.06 -0.7 a0406.fits Y 3.65 6.285 0.014 1889
2023-10-29 08:51:51 AAVSO_ P382_ DCMA_ AUTO I 180.000 1.06 -0.6 a0407.fits Y 3.25 6.273 0.014 2137
2023-10-29 08:55:00 AAVSO_ P382_ DCMA_ AUTO I 180.000 1.06 -0.6 a0408.fits Y 3.09 6.264 0.014 2303
2023-10-29 08:58:10 AAVSO_ P382_ DCMA_ AUTO I 180.000 1.06 -0.5 a0409.fits Y 3.13 6.269 0.014 2192

('V0347_Lac',)

AUID 000-BCW-190

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 05:01:03 AAVSO_ P323_ MSD_ AUTO B 60.000 1.12 2.1 a0281.fits Y 2.82
2023-10-29 05:02:35 AAVSO_ P323_ MSD_ AUTO B 60.000 1.12 2.1 a0282.fits Y 3.02 5.663 0.009 3536
2023-10-29 05:03:45 AAVSO_ P323_ MSD_ AUTO B 60.000 1.13 2.2 a0283.fits Y 2.90 5.643 0.009 3704
2023-10-29 05:04:59 AAVSO_ P323_ MSD_ AUTO V 30.000 1.13 2.2 a0284.fits Y 3.32 5.720 0.008 2884
2023-10-29 05:05:39 AAVSO_ P323_ MSD_ AUTO V 30.000 1.13 2.2 a0285.fits Y 3.38 5.731 0.008 2533
2023-10-29 05:06:20 AAVSO_ P323_ MSD_ AUTO V 30.000 1.13 2.2 a0286.fits Y 3.43 5.729 0.008 2494
2023-10-29 05:07:05 AAVSO_ P323_ MSD_ AUTO I 30.000 1.13 2.2 a0287.fits Y 3.20 6.778 0.013 1168
2023-10-29 05:07:44 AAVSO_ P323_ MSD_ AUTO I 30.000 1.13 2.2 a0288.fits Y 2.98 6.765 0.013 1376
2023-10-29 05:08:24 AAVSO_ P323_ MSD_ AUTO I 30.000 1.13 2.2 a0289.fits Y 3.10 6.793 0.013 1148

('V1159_Ori',)

AUID 000-BBJ-407

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 07:19:14 AAVSO_ P257_ BENS_ AUTO V 228.960 1.64 -2.7 a0359.fits Y 3.81
2023-10-29 07:23:33 AAVSO_ P257_ BENS_ AUTO V 228.960 1.61 -2.6 a0360.fits Y 3.76

('VV_Cep',)

AUID 000-BCP-658

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 01:14:14.500 AAVSO_ NorthSurvey_ HQ_ AUTO B 3.150 1.19 -1.3 a0125.fits Y 3.36 4
2023-10-29 01:15:54.000 AAVSO_ NorthSurvey_ HQ_ AUTO V 0.770 1.19 -1.3 a0126.fits Y 3.56 13

('V_Cam',)

AUID 000-BBK-579

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 04:19:06.000 AAVSO_ P48and60_ SFRA_ AUTO B 20.000 1.98 -6.3 a0250.fits Y 4.10
2023-10-29 04:19:37.000 AAVSO_ P48and60_ SFRA_ AUTO B 20.000 1.97 -6.3 a0251.fits Y 4.09
2023-10-29 04:20:11.000 AAVSO_ P48and60_ SFRA_ AUTO V 10.000 1.97 -6.3 a0252.fits Y 4.07 7.264 0.020 575
2023-10-29 04:20:31.000 AAVSO_ P48and60_ SFRA_ AUTO V 10.000 1.97 -6.3 a0253.fits Y 4.02 7.140 0.018 652
2023-10-29 04:21:19.000 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.97 -6.2 a0254.fits Y 4.12 6.139 0.008 1169 5
2023-10-29 04:22:18.500 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.97 -6.2 a0255.fits Y 3.65 6.184 0.008 1120 5
2023-10-29 04:23:45.500 AAVSO_ P48and60_ SFRA_ AUTO I 1.000 1.96 -6.2 a0256.fits Y 3.75 5.799 0.006 1757 10

('WZ_Cas',)

AUID 000-BBB-022

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 00:57:04.000 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.40 -3.6 a0101.fits Y 3.30 5.001 0.006 5217
2023-10-29 00:57:27.000 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.40 -3.6 a0102.fits Y 3.51 5.042 0.006 4649
2023-10-29 00:57:49.000 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.40 -3.6 a0103.fits Y 3.58 5.036 0.006 4387
2023-10-29 00:58:12.000 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.40 -3.6 a0104.fits Y 3.64 5.040 0.006 4159
2023-10-29 00:58:34.000 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.40 -3.6 a0105.fits Y 3.55 5.019 0.006 4509
2023-10-29 00:58:57.000 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.40 -3.6 a0106.fits Y 3.74 5.055 0.006 3984
2023-10-29 00:59:19.000 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.40 -3.6 a0107.fits Y 3.47 5.007 0.006 4460
2023-10-29 00:59:42.000 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.40 -3.6 a0108.fits Y 3.44 5.013 0.006 4087
2023-10-29 01:00:04.000 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.40 -3.6 a0109.fits Y 3.76 5.084 0.006 3468
2023-10-29 01:00:26.000 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.40 -3.6 a0110.fits Y 3.64 5.045 0.006 4143
2023-10-29 01:01:01.000 AAVSO_ P221_ RRIA_ AUTO V 6.000 1.39 -3.6 a0111.fits Y 3.89 2.733 0.002 34354 2
2023-10-29 01:01:34.500 AAVSO_ P221_ RRIA_ AUTO V 6.000 1.39 -3.6 a0112.fits Y 4.09 2.743 0.002 30184 2
2023-10-29 01:02:07.000 AAVSO_ P221_ RRIA_ AUTO V 6.000 1.39 -3.5 a0113.fits Y 3.86 2.723 0.002 35117 2
2023-10-29 01:02:40.500 AAVSO_ P221_ RRIA_ AUTO V 6.000 1.39 -3.5 a0114.fits Y 4.07 2.745 0.002 28649 2
2023-10-29 01:03:13.000 AAVSO_ P221_ RRIA_ AUTO V 6.000 1.39 -3.5 a0115.fits Y 3.79 2.716 0.002 35710 2
2023-10-29 01:04:06.000 AAVSO_ P221_ RRIA_ AUTO R 2.400 1.39 -3.5 a0116.fits Y 3.82 2.493 0.001 36849 5
2023-10-29 01:05:08.000 AAVSO_ P221_ RRIA_ AUTO R 2.400 1.38 -3.5 a0117.fits Y 3.86 2.468 0.001 45680 5
2023-10-29 01:06:10.500 AAVSO_ P221_ RRIA_ AUTO R 2.400 1.38 -3.5 a0118.fits Y 3.98 2.471 0.001 43618 5
2023-10-29 01:07:12.500 AAVSO_ P221_ RRIA_ AUTO R 2.400 1.38 -3.5 a0119.fits Y 3.76 2.455 0.001 53987 5
2023-10-29 01:08:15.500 AAVSO_ P221_ RRIA_ AUTO I 3.000 1.37 -3.4 a0120.fits Y 3.59 2.475 0.001 43296 4
2023-10-29 01:09:10.000 AAVSO_ P221_ RRIA_ AUTO I 3.000 1.37 -3.4 a0121.fits Y 3.61 2.461 0.001 45184 4
2023-10-29 01:10:03.000 AAVSO_ P221_ RRIA_ AUTO I 3.000 1.37 -3.4 a0122.fits Y 3.66 2.460 0.001 49538 4
2023-10-29 01:10:57.500 AAVSO_ P221_ RRIA_ AUTO I 3.000 1.37 -3.4 a0123.fits Y 3.69 2.460 0.001 50400 4
2023-10-29 01:11:51.500 AAVSO_ P221_ RRIA_ AUTO I 3.000 1.37 -3.4 a0124.fits Y 3.47 2.468 0.001 52618 4

('WZ_Dra',)

AUID 000-BBY-284

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 02:41:42 AAVSO_ P48and60_ SFRA_ AUTO B 30.000 1.81 5.1 a0166.fits Y 3.64
2023-10-29 02:42:43 AAVSO_ P48and60_ SFRA_ AUTO B 30.000 1.86 5.2 a0167.fits Y 3.50
2023-10-29 02:43:26 AAVSO_ P48and60_ SFRA_ AUTO V 20.000 1.86 5.2 a0168.fits Y 3.96 8.476 0.062 446
2023-10-29 02:43:56 AAVSO_ P48and60_ SFRA_ AUTO V 20.000 1.87 5.2 a0169.fits Y 3.91 8.465 0.058 467
2023-10-29 02:44:54 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.87 5.2 a0170.fits Y 3.72 8.429 0.024 235 5
2023-10-29 02:45:53 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.88 5.2 a0171.fits Y 3.72 8.441 0.024 195 5
2023-10-29 02:47:20 AAVSO_ P48and60_ SFRA_ AUTO I 1.000 1.88 5.2 a0172.fits Y 3.59 8.211 0.020 195 10

('W_Cas',)

AUID 000-BBC-192

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 03:57:58 AAVSO_ P48and60_ SFRA_ AUTO B 60.000 1.15 -1.5 a0230.fits Y 3.41
2023-10-29 03:59:08 AAVSO_ P48and60_ SFRA_ AUTO B 60.000 1.15 -1.5 a0231.fits Y 3.37
2023-10-29 04:00:21 AAVSO_ P48and60_ SFRA_ AUTO V 20.000 1.15 -1.5 a0232.fits Y 3.79 5.315 0.006 3181
2023-10-29 04:00:51 AAVSO_ P48and60_ SFRA_ AUTO V 20.000 1.15 -1.5 a0233.fits Y 3.54 5.283 0.006 3971
2023-10-29 04:01:32 AAVSO_ P48and60_ SFRA_ AUTO R 5.000 1.15 -1.4 a0234.fits Y 3.52 5.009 0.005 4223 2
2023-10-29 04:02:02 AAVSO_ P48and60_ SFRA_ AUTO R 5.000 1.15 -1.4 a0235.fits Y 3.82 5.027 0.005 3819 2
2023-10-29 04:02:54 AAVSO_ P48and60_ SFRA_ AUTO I 3.000 1.15 -1.4 a0236.fits Y 3.21 5.488 0.006 2658 5

('Zet_Tau',)

AUID 000-BBJ-767

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 06:45:44.000 AAVSO_ P74_ jcmat_ AUTO V 0.140 1.50 -3.5 a0355.fits Y 2.68 2.945 0.002 17551 72
2023-10-29 06:55:18.500 AAVSO_ P74_ jcmat_ AUTO B 0.220 1.42 -3.3 a0356.fits Y 2.38 2.371 0.001 30847 46
2023-10-29 07:04:54.000 AAVSO_ P74_ jcmat_ AUTO V 0.140 1.39 -3.2 a0357.fits Y 2.89 2.926 0.002 16736 72
2023-10-29 07:14:16.000 AAVSO_ P74_ jcmat_ AUTO B 0.220 1.33 -3.0 a0358.fits Y 3.12 2.343 0.001 31138 46

('bet_Psc',)

AUID 000-BCR-153

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 05:59:32.000 AAVSO_ P74_ jcmat_ AUTO V 0.750 1.39 2.4 a0327.fits Y 2.51 2.929 0.002 32341 3
2023-10-29 06:01:03.500 AAVSO_ P74_ jcmat_ AUTO B 0.900 1.40 2.4 a0328.fits Y 2.06 2.842 0.002 52682 12
2023-10-29 06:02:36.000 AAVSO_ P74_ jcmat_ AUTO V 0.750 1.41 2.4 a0329.fits Y 2.31 2.485 0.001 56810 3
2023-10-29 06:03:57.500 AAVSO_ P74_ jcmat_ AUTO B 0.900 1.41 2.4 a0330.fits Y 2.02 2.338 0.001 59005 12

('khi_Cyg',)

AUID 000-BCJ-205

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 03:06:52.000 AAVSO_ P48and60_ SFRA_ AUTO B 6.760 1.20 2.7 a0189.fits Y 3.70 2
2023-10-29 03:08:11.000 AAVSO_ P48and60_ SFRA_ AUTO V 1.340 1.21 2.7 a0190.fits Y 3.37 8
2023-10-29 03:10:53.500 AAVSO_ P48and60_ SFRA_ AUTO R 0.440 1.22 2.8 a0191.fits Y 3.53 6.372 0.008 937 23
2023-10-29 03:15:31.500 AAVSO_ P48and60_ SFRA_ AUTO I 0.300 1.23 2.8 a0192.fits Y 3.10 5.181 0.005 3071 34

('rho_Cas',)

AUID 000-BCS-075

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 02:14:22 AAVSO_ P115_ ETOA_ AUTO B 1.500 1.20 -2.2 a0151.fits Y 3.24 10
2023-10-29 02:17:08 AAVSO_ P115_ ETOA_ AUTO V 0.750 1.20 -2.2 a0152.fits Y 3.87 20
2023-10-29 02:21:18 AAVSO_ P115_ ETOA_ AUTO I 0.530 1.19 -2.1 a0153.fits Y 3.07 30

('sig_Gem',)

AUID 000-BCV-976

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-10-29 07:37:04.000 AAVSO_ P442_ KPRB_ AUTO B 2.000 1.95 -4.7 a0368.fits Y 2.90 2.706 0.002 33986 5
2023-10-29 07:38:13.500 AAVSO_ P442_ KPRB_ AUTO B 2.000 1.93 -4.6 a0369.fits Y 2.90 2.453 0.001 45732 5
2023-10-29 07:39:41.500 AAVSO_ P442_ KPRB_ AUTO V 1.000 1.92 -4.6 a0370.fits Y 3.17 2.169 0.001 51537 10
2023-10-29 07:41:49.000 AAVSO_ P442_ KPRB_ AUTO R 0.790 1.90 -4.6 a0371.fits Y 3.12 2.081 0.001 55102 13
2023-10-29 07:43:55.500 AAVSO_ P442_ KPRB_ AUTO I 1.000 1.87 -4.5 a0372.fits Y 2.69 2.793 0.002 30979 10

Remark-o-matic Image View

images 101 to 150

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 00:57:04 a0101.fits WZ_Cas B 12.000 1.40 -3.6 Y 3.30 5.001 0.006 5217 2.81
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 00:57:27 a0102.fits WZ_Cas B 12.000 1.40 -3.6 Y 3.51 5.042 0.006 4649 2.82
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 00:57:49 a0103.fits WZ_Cas B 12.000 1.40 -3.6 Y 3.58 5.036 0.006 4387 2.81
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 00:58:12 a0104.fits WZ_Cas B 12.000 1.40 -3.6 Y 3.64 5.04 0.006 4159 2.80
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 00:58:34 a0105.fits WZ_Cas B 12.000 1.40 -3.6 Y 3.55 5.019 0.006 4509 2.80
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 00:58:57 a0106.fits WZ_Cas B 12.000 1.40 -3.6 Y 3.74 5.055 0.006 3984 2.80
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 00:59:19 a0107.fits WZ_Cas B 12.000 1.40 -3.6 Y 3.47 5.007 0.006 4460 2.80
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 00:59:42 a0108.fits WZ_Cas B 12.000 1.40 -3.6 Y 3.44 5.013 0.006 4087 2.80
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:00:04 a0109.fits WZ_Cas B 12.000 1.40 -3.6 Y 3.76 5.084 0.006 3468 2.80
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:00:26 a0110.fits WZ_Cas B 12.000 1.40 -3.6 Y 3.64 5.045 0.006 4143 2.80
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:01:01 a0111.fits WZ_Cas V 6.000 1.39 -3.6 Y 3.89 2.733 0.002 34354 2 2.83
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:01:34.500 a0112.fits WZ_Cas V 6.000 1.39 -3.6 Y 4.09 2.743 0.002 30184 2 2.81
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:02:07 a0113.fits WZ_Cas V 6.000 1.39 -3.5 Y 3.86 2.723 0.002 35117 2 2.81
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:02:40.500 a0114.fits WZ_Cas V 6.000 1.39 -3.5 Y 4.07 2.745 0.002 28649 2 2.80
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:03:13 a0115.fits WZ_Cas V 6.000 1.39 -3.5 Y 3.79 2.716 0.002 35710 2 2.79
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:04:06 a0116.fits WZ_Cas R 2.400 1.39 -3.5 Y 3.82 2.493 0.001 36849 5 2.75
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:05:08 a0117.fits WZ_Cas R 2.400 1.38 -3.5 Y 3.86 2.468 0.001 45680 5 2.75
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:06:10.500 a0118.fits WZ_Cas R 2.400 1.38 -3.5 Y 3.98 2.471 0.001 43618 5 2.73
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:07:12.500 a0119.fits WZ_Cas R 2.400 1.38 -3.5 Y 3.76 2.455 0.001 53987 5 2.70
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:08:15.500 a0120.fits WZ_Cas I 3.000 1.37 -3.4 Y 3.59 2.475 0.001 43296 4 2.68
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:09:10 a0121.fits WZ_Cas I 3.000 1.37 -3.4 Y 3.61 2.461 0.001 45184 4 2.66
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:10:03 a0122.fits WZ_Cas I 3.000 1.37 -3.4 Y 3.66 2.46 0.001 49538 4 2.64
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:10:57.500 a0123.fits WZ_Cas I 3.000 1.37 -3.4 Y 3.69 2.46 0.001 50400 4 2.63
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:11:51.500 a0124.fits WZ_Cas I 3.000 1.37 -3.4 Y 3.47 2.468 0.001 52618 4 2.60
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:14:14.500 a0125.fits VV_Cep B 3.150 1.19 -1.3 Y 3.36 4 2.70
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:15:54 a0126.fits VV_Cep V 0.770 1.19 -1.3 Y 3.56 13 2.71
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:19:37 a0127.fits IX_Dra V 170.900 1.33 2.6 Y 3.93 15.29
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:22:59 a0128.fits IX_Dra V 170.900 1.33 2.6 Y 3.84 0.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:25:59 a0129.fits IX_Dra V 170.900 1.34 2.7 Y 3.87 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:29:00 a0130.fits IX_Dra V 170.900 1.34 2.7 Y 3.85 0.41
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:33:10 a0131.fits SY_Dra B 300.000 1.35 3.4 Y 3.80 19.78
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:38:34 a0132.fits SY_Dra B 300.000 1.37 3.5 Y 3.76 5.819 0.019 4793 35.10
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:44:07 a0133.fits SY_Dra V 146.460 1.39 3.6 Y 3.89 4.953 0.007 5986 0.36
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:46:43 a0134.fits SY_Dra V 146.460 1.39 3.7 Y 3.91 4.986 0.007 5692 0.39
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:49:24 a0135.fits SY_Dra R 49.570 1.40 3.7 Y 3.88 3.91 0.003 13405 0.36
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:50:24 a0136.fits SY_Dra R 49.570 1.40 3.7 Y 3.83 3.891 0.003 15464 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:51:26 a0137.fits SY_Dra I 18.090 1.40 3.7 Y 3.67 3.886 0.003 15279 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:51:54 a0138.fits SY_Dra I 18.090 1.41 3.7 Y 3.65 3.871 0.003 14298 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:54:10 a0139.fits NGC_869 B 46.350 1.73 -5.0 Y 3.58 2.14
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:55:07 a0140.fits NGC_869 B 46.350 1.73 -5.0 Y 3.63 2.12
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:56:04 a0141.fits NGC_869 B 46.350 1.72 -4.9 Y 3.77 2.10
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:57:04 a0142.fits NGC_869 V 23.110 1.72 -4.9 Y 4.01 4.399 0.005 11819 2.11
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:57:37 a0143.fits NGC_869 V 23.110 1.72 -4.9 Y 4.00 4.447 0.005 18440 2.11
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:58:11 a0144.fits NGC_869 V 23.110 1.71 -4.9 Y 4.02 4.426 0.005 14245 2.09
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:58:48 a0145.fits NGC_869 I 30.000 1.71 -4.9 Y 3.95 6.145 0.016 5906 2.07
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 01:59:27 a0146.fits NGC_869 I 30.000 1.70 -4.9 Y 3.87 2.07
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:00:08 a0147.fits NGC_869 I 30.000 1.70 -4.9 Y 3.89 2.07
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:03:13.500 a0148.fits 6_Cas B 1.500 1.25 -2.3 Y 3.56 10 1.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:05:59.500 a0149.fits 6_Cas V 0.750 1.25 -2.3 Y 3.62 20 1.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:10:11 a0150.fits 6_Cas I 0.530 1.24 -2.2 Y 3.40 4.748 0.004 4966 30 1.60

images 151 to 200

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:14:22 a0151.fits rho_Cas B 1.500 1.20 -2.2 Y 3.24 10 0.64
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:17:08 a0152.fits rho_Cas V 0.750 1.20 -2.2 Y 3.87 20 0.59
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:21:18 a0153.fits rho_Cas I 0.530 1.19 -2.1 Y 3.07 30 0.69
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:24:37 a0154.fits AS_Cas B 120.000 1.29 -2.6 Y 3.50 6.304 0.022 3612 2.14
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:26:47 a0155.fits AS_Cas B 120.000 1.29 -2.5 Y 3.51 6.28 0.022 3395 2.16
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:28:58 a0156.fits AS_Cas B 120.000 1.28 -2.5 Y 3.61 6.292 0.021 3274 2.19
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:31:11 a0157.fits AS_Cas V 60.000 1.28 -2.5 Y 3.94 5.598 0.01 3786 2.19
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:32:22 a0158.fits AS_Cas V 60.000 1.28 -2.4 Y 3.94 5.564 0.01 3660 2.21
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:33:31 a0159.fits AS_Cas V 60.000 1.28 -2.4 Y 3.91 5.563 0.01 3782 2.22
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:34:45 a0160.fits AS_Cas R 40.000 1.28 -2.4 Y 3.92 5.458 0.008 3603 2.25
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:35:35 a0161.fits AS_Cas R 40.000 1.28 -2.4 Y 3.92 5.446 0.008 3537 2.26
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:36:25 a0162.fits AS_Cas R 40.000 1.27 -2.4 Y 3.97 5.471 0.008 3087 2.27
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:37:18 a0163.fits AS_Cas I 40.000 1.27 -2.4 Y 3.75 6.132 0.011 1909 2.30
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:38:08 a0164.fits AS_Cas I 40.000 1.27 -2.3 Y 3.76 6.163 0.011 1994 2.31
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:38:59 a0165.fits AS_Cas I 40.000 1.27 -2.3 Y 3.77 6.171 0.011 1875 2.31
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:41:42 a0166.fits WZ_Dra B 30.000 1.81 5.1 Y 3.64 49.16
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:42:43 a0167.fits WZ_Dra B 30.000 1.86 5.2 Y 3.50 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:43:26 a0168.fits WZ_Dra V 20.000 1.86 5.2 Y 3.96 8.476 0.062 446 0.55
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:43:56 a0169.fits WZ_Dra V 20.000 1.87 5.2 Y 3.91 8.465 0.058 467 0.55
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:44:54 a0170.fits WZ_Dra R 2.000 1.87 5.2 Y 3.72 8.429 0.024 235 5 0.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:45:53 a0171.fits WZ_Dra R 2.000 1.88 5.2 Y 3.72 8.441 0.024 195 5 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:47:20 a0172.fits WZ_Dra I 1.000 1.88 5.2 Y 3.59 8.211 0.02 195 10 0.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:49:50 a0173.fits NGC_869 B 46.350 1.47 -4.0 Y 3.50 1.58
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:50:47 a0174.fits NGC_869 B 46.350 1.47 -4.0 Y 3.34 6.34 0.025 31782 1.55
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:51:44 a0175.fits NGC_869 B 46.350 1.47 -4.0 Y 3.33 1.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:52:44 a0176.fits NGC_869 V 23.110 1.46 -4.0 Y 3.93 6.546 0.027 17520 1.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:53:17 a0177.fits NGC_869 V 23.110 1.46 -4.0 Y 3.71 4.863 0.011 4176 1.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:53:50 a0178.fits NGC_869 V 23.110 1.46 -4.0 Y 3.63 4.845 0.013 4226 1.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:54:27 a0179.fits NGC_869 I 30.000 1.46 -4.0 Y 3.48 1.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:55:08 a0180.fits NGC_869 I 30.000 1.45 -4.0 Y 3.75 1.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:55:48 a0181.fits NGC_869 I 30.000 1.45 -3.9 Y 3.54 6.002 0.022 1971 1.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:58:07 a0182.fits R_Aqr B 20.000 1.61 -1.3 Y 3.33 12.10
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:58:56 a0183.fits R_Aqr B 20.000 1.60 -1.3 Y 3.26 5.021 0.005 4462 0.07
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:59:30 a0184.fits R_Aqr V 10.000 1.60 -1.3 Y 3.54 3.719 0.003 14838 0.02
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 02:59:51 a0185.fits R_Aqr V 10.000 1.60 -1.3 Y 3.53 3.751 0.003 12898 0.02
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:00:38 a0186.fits R_Aqr R 2.000 1.60 -1.3 Y 3.43 3.291 0.002 16956 5 0.09
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:01:37 a0187.fits R_Aqr R 2.000 1.60 -1.3 Y 3.81 3.283 0.002 18592 5 0.12
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:03:03.500 a0188.fits R_Aqr I 1.000 1.60 -1.2 Y 2.93 3.227 0.002 19058 10 0.14
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:06:52 a0189.fits khi_Cyg B 6.760 1.20 2.7 Y 3.70 2 25.60
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:08:11 a0190.fits khi_Cyg V 1.340 1.21 2.7 Y 3.37 8 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:10:53.500 a0191.fits khi_Cyg R 0.440 1.22 2.8 Y 3.53 6.372 0.008 937 23 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:15:31.500 a0192.fits khi_Cyg I 0.300 1.23 2.8 Y 3.10 5.181 0.005 3071 34 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:19:38 a0193.fits ST_Cyg B 60.000 1.18 2.2 Y 3.05 5.092 0.006 5026 19.69
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:21:09 a0194.fits ST_Cyg B 60.000 1.19 2.3 Y 3.15 5.517 0.008 3386 0.25
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:22:23 a0195.fits ST_Cyg V 10.000 1.19 2.3 Y 3.53 5.755 0.007 2163 0.31
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:22:43 a0196.fits ST_Cyg V 10.000 1.19 2.3 Y 3.34 5.764 0.007 2348 0.33
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:23:32.500 a0197.fits ST_Cyg R 2.000 1.19 2.3 Y 3.28 5.805 0.007 1983 5 0.29
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:24:36.500 a0198.fits ST_Cyg R 2.000 1.19 2.3 Y 3.35 5.887 0.007 1542 5 0.28
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:25:46.500 a0199.fits ST_Cyg I 3.000 1.19 2.3 Y 3.51 4.727 0.004 5378 5 0.29
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:27:43 a0200.fits T_Cep B 15.000 1.28 1.7 Y 3.82 15.18

images 201 to 250

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:28:27 a0201.fits T_Cep B 15.000 1.28 1.8 Y 4.10 4.575 0.004 4498 0.26
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:29:22 a0202.fits T_Cep V 3.000 1.28 1.8 Y 3.96 4.447 0.003 5967 5 0.32
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:30:57.500 a0203.fits T_Cep R 0.970 1.28 1.8 Y 3.45 3.737 0.002 13922 11 0.27
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:32:48.500 a0204.fits T_Cep I 0.500 1.29 1.8 Y 3.57 3.416 0.002 17266 10 0.28
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:35:07 a0205.fits EP_Lyr B 30.000 1.49 3.7 Y 3.31 26.56
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:36:08 a0206.fits EP_Lyr B 30.000 1.51 3.7 Y 3.46 4.854 0.005 5059 0.25
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:36:48 a0207.fits EP_Lyr B 30.000 1.51 3.8 Y 3.42 4.846 0.005 5036 0.26
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:37:27 a0208.fits EP_Lyr B 30.000 1.51 3.8 Y 3.29 4.826 0.005 5558 0.28
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:38:21 a0209.fits EP_Lyr V 8.000 1.52 3.8 Y 3.41 5.548 0.006 2673 2 0.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:38:56 a0210.fits EP_Lyr V 8.000 1.52 3.8 Y 3.64 5.527 0.006 2573 2 0.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:39:32 a0211.fits EP_Lyr V 8.000 1.52 3.8 Y 3.52 5.562 0.006 2432 2 0.39
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:40:11.500 a0212.fits EP_Lyr I 8.000 1.53 3.8 Y 3.40 6.574 0.01 1182 2 0.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:40:47 a0213.fits EP_Lyr I 8.000 1.53 3.8 Y 3.66 6.593 0.01 1040 2 0.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:41:23 a0214.fits EP_Lyr I 8.000 1.54 3.8 Y 3.42 6.586 0.01 1040 2 0.36
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:43:41 a0215.fits NGC_869 B 46.350 1.31 -3.1 Y 3.30 0.91
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:44:38 a0216.fits NGC_869 B 46.350 1.30 -3.1 Y 3.11 0.91
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:45:35 a0217.fits NGC_869 B 46.350 1.30 -3.1 Y 3.26 0.89
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:46:35 a0218.fits NGC_869 V 23.110 1.30 -3.1 Y 3.72 0.83
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:47:08 a0219.fits NGC_869 V 23.110 1.30 -3.1 Y 3.51 0.83
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:47:41 a0220.fits NGC_869 V 23.110 1.30 -3.1 Y 3.48 4.847 0.011 3982 0.82
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:48:18 a0221.fits NGC_869 I 30.000 1.30 -3.1 Y 3.41 5.992 0.022 1837 0.84
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:48:57 a0222.fits NGC_869 I 30.000 1.29 -3.1 Y 4.14 0.81
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:49:38 a0223.fits NGC_869 I 30.000 1.29 -3.0 Y 3.98 6.091 0.028 1453 0.84
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:51:44 a0224.fits T_Cas B 10.000 1.11 -1.1 Y 3.44 1.59
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:52:04 a0225.fits T_Cas B 10.000 1.11 -1.1 Y 3.80 1.58
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:52:42.500 a0226.fits T_Cas V 5.000 1.11 -1.1 Y 3.65 6.179 0.008 1423 3 1.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:53:38.500 a0227.fits T_Cas R 2.000 1.11 -1.1 Y 3.55 4.522 0.004 6854 5 1.58
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:54:38 a0228.fits T_Cas R 2.000 1.11 -1.0 Y 3.38 4.506 0.004 6200 5 1.61
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:56:05.500 a0229.fits T_Cas I 1.000 1.11 -1.0 Y 3.20 4.127 0.003 9619 10 1.60
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:57:58 a0230.fits W_Cas B 60.000 1.15 -1.5 Y 3.41 1.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 03:59:08 a0231.fits W_Cas B 60.000 1.15 -1.5 Y 3.37 1.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:00:21 a0232.fits W_Cas V 20.000 1.15 -1.5 Y 3.79 5.315 0.006 3181 1.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:00:51 a0233.fits W_Cas V 20.000 1.15 -1.5 Y 3.54 5.283 0.006 3971 1.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:01:32 a0234.fits W_Cas R 5.000 1.15 -1.4 Y 3.52 5.009 0.005 4223 2 1.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:02:02 a0235.fits W_Cas R 5.000 1.15 -1.4 Y 3.82 5.027 0.005 3819 2 1.54
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:02:54 a0236.fits W_Cas I 3.000 1.15 -1.4 Y 3.21 5.488 0.006 2658 5 1.56
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:05:08 a0237.fits S_Cas B 20.000 1.35 -1.8 Y 3.38 0.07
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:05:39 a0238.fits S_Cas B 20.000 1.35 -1.8 Y 4.12 0.06
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:06:12 a0239.fits S_Cas V 10.000 1.35 -1.8 Y 3.75 0.05
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:06:32 a0240.fits S_Cas V 10.000 1.35 -1.8 Y 3.70 0.06
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:07:19 a0241.fits S_Cas R 2.000 1.35 -1.8 Y 3.57 5 0.10
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:08:18 a0242.fits S_Cas R 2.000 1.35 -1.7 Y 3.35 5 0.11
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:09:45 a0243.fits S_Cas I 1.000 1.35 -1.7 Y 3.09 10 0.13
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:12:23 a0244.fits T_Cam B 60.000 1.72 -5.0 Y 3.44 4.823 0.006 6372 0.99
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:13:35 a0245.fits T_Cam B 60.000 1.71 -5.0 Y 3.50 4.842 0.006 5856 0.99
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:14:48 a0246.fits T_Cam V 11.840 1.71 -5.0 Y 3.71 4.237 0.003 7697 0.98
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:15:09 a0247.fits T_Cam V 11.840 1.71 -5.0 Y 3.56 4.226 0.003 7809 0.97
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:15:56.500 a0248.fits T_Cam R 3.940 1.71 -5.0 Y 3.34 3.417 0.002 18672 4 1.00
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:17:05 a0249.fits T_Cam I 1.850 1.70 -4.9 Y 3.02 3.357 0.002 22093 6 1.01
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:19:06 a0250.fits V_Cam B 20.000 1.98 -6.3 Y 4.10 2.80

images 251 to 300

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2023-10-29 04:19:37 a0251.fits V_Cam B 20.000 1.97 -6.3 Y 4.09 2.80
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:20:11 a0252.fits V_Cam V 10.000 1.97 -6.3 Y 4.07 7.264 0.02 575 2.78
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:20:31 a0253.fits V_Cam V 10.000 1.97 -6.3 Y 4.02 7.14 0.018 652 2.79
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:21:19 a0254.fits V_Cam R 2.000 1.97 -6.2 Y 4.12 6.139 0.008 1169 5 2.84
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:22:18.500 a0255.fits V_Cam R 2.000 1.97 -6.2 Y 3.65 6.184 0.008 1120 5 2.83
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:23:45.500 a0256.fits V_Cam I 1.000 1.96 -6.2 Y 3.75 5.799 0.006 1757 10 2.85
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:25:59 a0257.fits R_Aur B 30.000 1.95 -5.4 Y 3.58 3.34
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:26:59 a0258.fits R_Aur B 30.000 1.94 -5.4 Y 3.28 8.67 0.111 895 0.09
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:27:52 a0259.fits R_Aur V 6.990 1.94 -5.4 Y 3.67 9.031 0.063 278 2 0.05
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:29:14.500 a0260.fits R_Aur R 1.560 1.93 -5.4 Y 4.13 7.059 0.012 522 10 0.09
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:31:26 a0261.fits R_Aur I 0.800 1.92 -5.3 Y 3.58 6.365 0.008 975 13 0.08
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:34:28 a0262.fits KIC_8462852 B 120.000 1.45 3.9 Y 3.32 5.071 0.007 5861 22.54
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:36:59 a0263.fits KIC_8462852 B 120.000 1.47 4.0 Y 3.39 0.33
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:39:13 a0264.fits KIC_8462852 V 60.000 1.48 4.0 Y 3.72 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:40:24 a0265.fits KIC_8462852 V 60.000 1.49 4.0 Y 3.71 0.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:41:37 a0266.fits KIC_8462852 R 60.000 1.49 4.0 Y 3.71 5.095 0.006 4149 0.41
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:42:48 a0267.fits KIC_8462852 R 60.000 1.50 4.1 Y 3.90 5.126 0.006 3934 0.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:44:01 a0268.fits KIC_8462852 I 90.000 1.51 4.1 Y 3.67 5.898 0.009 1947 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:45:41 a0269.fits KIC_8462852 I 90.000 1.52 4.1 Y 3.46 5.868 0.009 2258 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:48:37.500 a0270.fits CH_Cyg B 4.000 1.72 4.8 Y 3.19 3 20.90
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:49:45.500 a0271.fits CH_Cyg V 3.000 1.75 4.9 Y 3.67 4.368 0.003 6181 5 0.32
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:51:47 a0272.fits MZ_Cyg B 60.000 1.24 2.9 Y 2.85 24.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:53:17 a0273.fits MZ_Cyg B 60.000 1.25 3.0 Y 3.23 0.24
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:54:27 a0274.fits MZ_Cyg B 60.000 1.25 3.0 Y 3.17 5.916 0.011 2615 0.25
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:55:42 a0275.fits MZ_Cyg V 30.000 1.25 3.0 Y 3.76 5.79 0.008 2139 0.34
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:56:22 a0276.fits MZ_Cyg V 30.000 1.26 3.0 Y 3.62 5.774 0.008 2097 0.34
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:57:02 a0277.fits MZ_Cyg V 30.000 1.26 3.0 Y 3.51 5.748 0.008 2278 0.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:57:46 a0278.fits MZ_Cyg I 30.000 1.26 3.0 Y 3.36 6.673 0.012 1095 0.30
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:58:27 a0279.fits MZ_Cyg I 30.000 1.26 3.1 Y 3.32 6.655 0.012 1153 0.31
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 04:59:06 a0280.fits MZ_Cyg I 30.000 1.27 3.1 Y 3.42 6.66 0.012 1014 0.31
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:01:03 a0281.fits V0347_Lac B 60.000 1.12 2.1 Y 2.82 23.79
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:02:35 a0282.fits V0347_Lac B 60.000 1.12 2.1 Y 3.02 5.663 0.009 3536 0.24
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:03:45 a0283.fits V0347_Lac B 60.000 1.13 2.2 Y 2.90 5.643 0.009 3704 0.26
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:04:59 a0284.fits V0347_Lac V 30.000 1.13 2.2 Y 3.32 5.72 0.008 2884 0.33
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:05:39 a0285.fits V0347_Lac V 30.000 1.13 2.2 Y 3.38 5.731 0.008 2533 0.34
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:06:20 a0286.fits V0347_Lac V 30.000 1.13 2.2 Y 3.43 5.729 0.008 2494 0.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:07:05 a0287.fits V0347_Lac I 30.000 1.13 2.2 Y 3.20 6.778 0.013 1168 0.31
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:07:44 a0288.fits V0347_Lac I 30.000 1.13 2.2 Y 2.98 6.765 0.013 1376 0.31
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:08:24 a0289.fits V0347_Lac I 30.000 1.13 2.2 Y 3.10 6.793 0.013 1148 0.32
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:10:26 a0290.fits EQ_Cas B 60.000 1.09 0.7 Y 2.83 19.92
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:11:56 a0291.fits EQ_Cas B 60.000 1.09 0.8 Y 2.95 5.722 0.01 3492 0.27
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:13:07 a0292.fits EQ_Cas B 60.000 1.09 0.8 Y 2.80 5.716 0.01 3526 0.29
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:14:20 a0293.fits EQ_Cas V 30.000 1.09 0.8 Y 2.99 5.321 0.007 4676 0.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:15:00 a0294.fits EQ_Cas V 30.000 1.09 0.8 Y 3.14 5.33 0.007 4269 0.36
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:15:40 a0295.fits EQ_Cas V 30.000 1.09 0.8 Y 3.15 5.329 0.007 4099 0.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:16:24 a0296.fits EQ_Cas I 30.000 1.09 0.8 Y 3.04 5.89 0.008 2341 0.34
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:17:04 a0297.fits EQ_Cas I 30.000 1.09 0.9 Y 3.04 5.872 0.008 2694 0.34
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:17:43 a0298.fits EQ_Cas I 30.000 1.10 0.9 Y 3.05 5.885 0.008 2535 0.34
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:20:51 a0299.fits RW_Aur B 40.000 1.73 -4.3 Y 3.02 44.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:22:02 a0300.fits RW_Aur B 40.000 1.71 -4.3 Y 2.85 4.917 0.006 6477 0.09

images 301 to 350

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:22:56 a0301.fits RW_Aur V 20.000 1.70 -4.3 Y 3.11 4.89 0.005 5461 0.15
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:23:26 a0302.fits RW_Aur V 20.000 1.70 -4.3 Y 3.04 4.881 0.005 5768 0.14
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:24:00 a0303.fits RW_Aur R 20.000 1.69 -4.3 Y 3.13 4.626 0.004 7178 0.09
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:24:29 a0304.fits RW_Aur R 20.000 1.69 -4.3 Y 3.06 4.607 0.004 7644 0.10
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:25:03 a0305.fits RW_Aur I 20.000 1.69 -4.3 Y 2.92 5.608 0.007 3080 0.11
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:25:33 a0306.fits RW_Aur I 20.000 1.68 -4.3 Y 2.89 5.585 0.007 3326 0.10
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:29:10.500 a0307.fits Pi_Aqr V 0.750 1.42 2.5 Y 3
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:30:15.500 a0308.fits Pi_Aqr B 0.880 1.42 2.5 Y 12
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:31:34 a0309.fits Pi_Aqr V 0.750 1.43 2.6 Y 3
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:32:39 a0310.fits Pi_Aqr B 0.880 1.44 2.6 Y 12
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:35:10.500 a0311.fits 59_Cyg V 0.750 1.47 4.0 Y 2.55 2.896 0.002 35844 3 21.90
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:36:37.500 a0312.fits 59_Cyg B 0.940 1.48 4.1 Y 2.19 2.357 0.001 59845 11 0.17
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:38:08 a0313.fits 59_Cyg V 0.750 1.49 4.1 Y 2.87 2.515 0.001 40600 3 0.22
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:39:26 a0314.fits 59_Cyg B 0.940 1.49 4.1 Y 2.40 2.394 0.001 57394 11 0.19
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:42:31 a0315.fits RR_Tau B 90.000 1.89 -4.5 Y 2.98 45.86
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:44:33 a0316.fits RR_Tau B 90.000 1.85 -4.5 Y 2.97 6.555 0.028 3396 0.10
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:46:17 a0317.fits RR_Tau V 60.000 1.84 -4.4 Y 3.08 6.266 0.018 3026 0.06
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:47:26 a0318.fits RR_Tau V 60.000 1.83 -4.4 Y 3.17 6.266 0.018 2908 0.04
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:48:40 a0319.fits RR_Tau I 40.000 1.82 -4.4 Y 2.98 7.375 0.025 856 0.06
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:49:31 a0320.fits RR_Tau I 40.000 1.81 -4.4 Y 2.99 7.395 0.025 842 0.06
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:51:08 a0321.fits CQ_Tau B 54.260 1.80 -4.3 Y 2.35 9.86
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:52:32 a0322.fits CQ_Tau B 54.260 1.78 -4.3 Y 2.39 4.495 0.005 11134 0.08
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:53:41 a0323.fits CQ_Tau V 37.950 1.77 -4.3 Y 2.73 4.046 0.003 14703 0.04
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:54:29 a0324.fits CQ_Tau V 37.950 1.76 -4.2 Y 2.75 4.026 0.003 15453 0.05
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:55:21 a0325.fits CQ_Tau I 40.000 1.75 -4.2 Y 2.92 4.958 0.005 6071 0.07
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:56:11 a0326.fits CQ_Tau I 40.000 1.75 -4.2 Y 2.79 4.935 0.005 6686 0.10
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 05:59:32 a0327.fits bet_Psc V 0.750 1.39 2.4 Y 2.51 2.929 0.002 32341 3 29.96
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:01:03.500 a0328.fits bet_Psc B 0.900 1.40 2.4 Y 2.06 2.842 0.002 52682 12 0.13
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:02:36 a0329.fits bet_Psc V 0.750 1.41 2.4 Y 2.31 2.485 0.001 56810 3 0.22
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:03:57.500 a0330.fits bet_Psc B 0.900 1.41 2.4 Y 2.02 2.338 0.001 59005 12 0.18
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:06:35 a0331.fits AS_Cas B 120.000 1.19 1.1 Y 3.02 16.86
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:09:05 a0332.fits AS_Cas B 120.000 1.20 1.2 Y 2.54 6.35 0.021 3459 0.26
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:11:16 a0333.fits AS_Cas B 120.000 1.20 1.2 Y 2.30 6.388 0.022 3600 0.27
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:13:29 a0334.fits AS_Cas V 60.000 1.20 1.3 Y 2.68 5.64 0.009 3716 0.34
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:14:39 a0335.fits AS_Cas V 60.000 1.20 1.3 Y 2.75 5.655 0.009 3893 0.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:15:48 a0336.fits AS_Cas V 60.000 1.20 1.3 Y 2.81 5.672 0.009 3745 0.36
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:17:02 a0337.fits AS_Cas R 40.000 1.20 1.3 Y 2.83 5.519 0.007 3888 0.34
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:17:51 a0338.fits AS_Cas R 40.000 1.20 1.3 Y 2.84 5.517 0.007 3847 0.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:18:41 a0339.fits AS_Cas R 40.000 1.20 1.3 Y 2.67 5.518 0.007 3827 0.36
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:19:34 a0340.fits AS_Cas I 40.000 1.20 1.4 Y 2.65 6.203 0.009 2227 0.36
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:20:25 a0341.fits AS_Cas I 40.000 1.21 1.4 Y 2.76 6.204 0.009 2142 0.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:21:15 a0342.fits AS_Cas I 40.000 1.21 1.4 Y 2.72 6.206 0.01 1924 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:24:10 a0343.fits R_Lyn B 29.670 1.82 -5.2 Y 3.11 2.56
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:24:50 a0344.fits R_Lyn B 29.670 1.82 -5.2 Y 3.27 2.56
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:25:33 a0345.fits R_Lyn V 15.310 1.81 -5.1 Y 3.60 2.626 0.002 32894 2.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:25:58 a0346.fits R_Lyn V 15.310 1.81 -5.1 Y 3.30 2.568 0.001 38712 2.54
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:26:55 a0347.fits R_Lyn R 4.000 1.81 -5.1 Y 3.37 2.841 0.002 28355 5 2.54
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:28:28.500 a0348.fits R_Lyn I 1.000 1.80 -5.1 Y 2.67 4.391 0.003 8128 10 2.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:30:57 a0349.fits UX_Ori B 90.000 1.84 -3.1 Y 2.71 4.435 0.005 10721 11.93
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:32:58 a0350.fits UX_Ori B 90.000 1.82 -3.1 Y 2.75 4.443 0.005 11052 0.06

images 351 to 400

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:34:42 a0351.fits UX_Ori V 60.000 1.81 -3.0 Y 2.99 4.185 0.004 12082 0.04
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:35:52 a0352.fits UX_Ori V 60.000 1.80 -3.0 Y 3.11 4.197 0.004 11369 0.04
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:37:05 a0353.fits UX_Ori I 40.000 1.79 -3.0 Y 2.94 5.698 0.008 2770 0.09
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:37:55 a0354.fits UX_Ori I 40.000 1.78 -3.0 Y 3.09 5.716 0.008 2574 0.10
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:45:44 a0355.fits Zet_Tau V 0.140 1.50 -3.5 Y 2.68 2.945 0.002 17551 72 9.88
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 06:55:18.500 a0356.fits Zet_Tau B 0.220 1.42 -3.3 Y 2.38 2.371 0.001 30847 46 0.33
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 07:04:54 a0357.fits Zet_Tau V 0.140 1.39 -3.2 Y 2.89 2.926 0.002 16736 72 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 07:14:16 a0358.fits Zet_Tau B 0.220 1.33 -3.0 Y 3.12 2.343 0.001 31138 46 0.68
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 07:19:14 a0359.fits V1159_Ori V 228.960 1.64 -2.7 Y 3.81 11.73
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DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-10-29 07:23:33 a0360.fits V1159_Ori V 228.960 1.61 -2.6 Y 3.76 0.08