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Table of Contents

Warnings and Errors
Calibration File Age
Weather and Moon
CCD Set Point vs Operating Temp
Pointing Performance
Suspected Over Exposed Images
Suspected Under Exposed Images
Images by Target Object
RoM Image View
All Images
Column Definitions

Scheduler Report

Telescope bsm_nh2 date 230903 (yymmdd)

Run at 09/04/2023 17:07:56 EDT

Warnings and Errors

INFO 297 total images for bsm_nh2 on 230903
WARNING 1 images not plate solved at observatory
WARNING 94 images without target object photometry

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

View images
Filters used this night B,I,R,SG,SI,SR,SU,V,ZS
datenite imagetyp filename set_temp filter binning exptime storage_loc Age(d) Active
230520 bias bsm_nh2/bsm_nh2b/calibration/230520/bias_temp-15_bin2.fits -15.0 None 2 None s3 107 Y
230520 dark bsm_nh2/bsm_nh2b/calibration/230520/dark_1.0sec_temp-15_bin2.fits -15.0 None 2 1.00 s3 107 Y
230520 dark bsm_nh2/bsm_nh2b/calibration/230520/dark_3.0sec_temp-15_bin2.fits -15.0 None 2 3.00 s3 107 Y
230520 dark bsm_nh2/bsm_nh2b/calibration/230520/dark_10.0sec_temp-15_bin2.fits -15.0 None 2 10.00 s3 107 Y
230520 dark bsm_nh2/bsm_nh2b/calibration/230520/dark_30.0sec_temp-15_bin2.fits -15.0 None 2 30.00 s3 107 Y
230520 dark bsm_nh2/bsm_nh2b/calibration/230520/dark_100.0sec_temp-15_bin2.fits -15.0 None 2 100.00 s3 107 Y
230520 dark bsm_nh2/bsm_nh2b/calibration/230520/dark_300.0sec_temp-15_bin2.fits -15.0 None 2 300.00 s3 107 Y
230903 flat bsm_nh2/bsm_nh2b/calibration/230903/flatB_bin2.fits NaN B 2 None fs 1 Y
230903 flat bsm_nh2/bsm_nh2b/calibration/230903/flatI_bin2.fits NaN I 2 None fs 1 Y
230903 flat bsm_nh2/bsm_nh2b/calibration/230903/flatR_bin2.fits NaN R 2 None fs 1 Y
230903 flat bsm_nh2/bsm_nh2b/calibration/230903/flatSG_bin2.fits NaN SG 2 None fs 1 Y
230903 flat bsm_nh2/bsm_nh2b/calibration/230903/flatSI_bin2.fits NaN SI 2 None fs 1 Y
230903 flat bsm_nh2/bsm_nh2b/calibration/230903/flatSR_bin2.fits NaN SR 2 None fs 1 Y
230903 flat bsm_nh2/bsm_nh2b/calibration/230903/flatSU_bin2.fits NaN SU 2 None fs 1 Y
230903 flat bsm_nh2/bsm_nh2b/calibration/230903/flatV_bin2.fits NaN V 2 None fs 1 Y
230903 flat bsm_nh2/bsm_nh2b/calibration/230903/flatZS_bin2.fits NaN ZS 2 None fs 1 Y
221115 bias bsm_nh2/bsm_nh2b/calibration/221115/bias_temp-25_bin2.fits -25.0 None 2 None s3 293
220105 bias bsm_nh2/bsm_nh2b/calibration/220105/bias_temp-30_bin2.fits -30.0 None 2 None s3 607
211016 bias bsm_nh2/bsm_nh2b/calibration/211016/bias_temp-20_bin2.fits -20.0 None 2 None s3 688
210412 bias bsm_nh2/bsm_nh2b/calibration/210412/bias_temp-10_bin2.fits -10.0 None 2 None s3 875
221115 dark bsm_nh2/bsm_nh2b/calibration/221115/dark_1.0sec_temp-25_bin2.fits -25.0 None 2 1.00 s3 293
221115 dark bsm_nh2/bsm_nh2b/calibration/221115/dark_3.0sec_temp-25_bin2.fits -25.0 None 2 3.00 s3 293
221115 dark bsm_nh2/bsm_nh2b/calibration/221115/dark_10.0sec_temp-25_bin2.fits -25.0 None 2 10.00 s3 293
221115 dark bsm_nh2/bsm_nh2b/calibration/221115/dark_30.0sec_temp-25_bin2.fits -25.0 None 2 30.00 s3 293
221115 dark bsm_nh2/bsm_nh2b/calibration/221115/dark_100.0sec_temp-25_bin2.fits -25.0 None 2 100.00 s3 293
221115 dark bsm_nh2/bsm_nh2b/calibration/221115/dark_300.0sec_temp-25_bin2.fits -25.0 None 2 300.00 s3 293
220105 dark bsm_nh2/bsm_nh2b/calibration/220105/dark_1.0sec_temp-30_bin2.fits -30.0 None 2 1.00 s3 607
220105 dark bsm_nh2/bsm_nh2b/calibration/220105/dark_3.0sec_temp-30_bin2.fits -30.0 None 2 3.00 s3 607
220105 dark bsm_nh2/bsm_nh2b/calibration/220105/dark_10.0sec_temp-30_bin2.fits -30.0 None 2 10.00 s3 607
220105 dark bsm_nh2/bsm_nh2b/calibration/220105/dark_30.0sec_temp-30_bin2.fits -30.0 None 2 30.00 s3 607
220105 dark bsm_nh2/bsm_nh2b/calibration/220105/dark_100.0sec_temp-30_bin2.fits -30.0 None 2 100.00 s3 607
220105 dark bsm_nh2/bsm_nh2b/calibration/220105/dark_300.0sec_temp-30_bin2.fits -30.0 None 2 300.00 s3 607
211016 dark bsm_nh2/bsm_nh2b/calibration/211016/dark_1.0sec_temp-20_bin2.fits -20.0 None 2 1.00 s3 688
211016 dark bsm_nh2/bsm_nh2b/calibration/211016/dark_3.0sec_temp-20_bin2.fits -20.0 None 2 3.00 s3 688
211016 dark bsm_nh2/bsm_nh2b/calibration/211016/dark_10.0sec_temp-20_bin2.fits -20.0 None 2 10.00 s3 688
211016 dark bsm_nh2/bsm_nh2b/calibration/211016/dark_30.0sec_temp-20_bin2.fits -20.0 None 2 30.00 s3 688
211016 dark bsm_nh2/bsm_nh2b/calibration/211016/dark_100.0sec_temp-20_bin2.fits -20.0 None 2 100.00 s3 688
211016 dark bsm_nh2/bsm_nh2b/calibration/211016/dark_300.0sec_temp-20_bin2.fits -20.0 None 2 300.00 s3 688
210412 dark bsm_nh2/bsm_nh2b/calibration/210412/dark_1.0sec_temp-10_bin2.fits -10.0 None 2 1.00 s3 875
210412 dark bsm_nh2/bsm_nh2b/calibration/210412/dark_3.0sec_temp-10_bin2.fits -10.0 None 2 3.00 s3 875
210412 dark bsm_nh2/bsm_nh2b/calibration/210412/dark_10.0sec_temp-10_bin2.fits -10.0 None 2 10.00 s3 875
210412 dark bsm_nh2/bsm_nh2b/calibration/210412/dark_30.0sec_temp-10_bin2.fits -10.0 None 2 30.00 s3 875
210412 dark bsm_nh2/bsm_nh2b/calibration/210412/dark_100.0sec_temp-10_bin2.fits -10.0 None 2 100.00 s3 875
210412 dark bsm_nh2/bsm_nh2b/calibration/210412/dark_300.0sec_temp-10_bin2.fits -10.0 None 2 300.00 s3 875
230903 flat bsm_nh2/bsm_nh2b/calibration/230903/flatBdiff_bin2.fits NaN Bdiff 2 None fs 1
230903 flat bsm_nh2/bsm_nh2b/calibration/230903/flatIdiff_bin2.fits NaN Idiff 2 None fs 1
230903 flat bsm_nh2/bsm_nh2b/calibration/230903/flatVdiff_bin2.fits NaN Vdiff 2 None fs 1
230408 flat bsm_nh2/bsm_nh2b/calibration/230408/flatHA_bin2.fits NaN HA 2 None s3 149
220422 flat bsm_nh2/bsm_nh2b/calibration/220422/flatVnd09_bin2.fits NaN Vnd09 2 None s3 500
210125 flat bsm_nh2/bsm_nh2b/calibration/210125/flatBnd09_bin2.fits NaN Bnd09 2 None s3 952
210125 flat bsm_nh2/bsm_nh2b/calibration/210125/flatInd09_bin2.fits NaN Ind09 2 None s3 952
210125 flat bsm_nh2/bsm_nh2b/calibration/210125/flatRnd09_bin2.fits NaN Rnd09 2 None s3 952
210125 flat bsm_nh2/bsm_nh2b/calibration/210125/flatSGnd09_bin2.fits NaN SGnd09 2 None s3 952
210125 flat bsm_nh2/bsm_nh2b/calibration/210125/flatSInd09_bin2.fits NaN SInd09 2 None s3 952
210125 flat bsm_nh2/bsm_nh2b/calibration/210125/flatSRnd09_bin2.fits NaN SRnd09 2 None s3 952
200506 flat bsm_nh2/bsm_nh2b/calibration/200506/FlatGR.fits -25.0 GR 2 0.20 s3 1216

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
2023-09-04 07:59:09.660 AAVSO_ P145_ BETB_ AUTO AS_Cas B 180.000 1.11 2.42 7.669 0.054 1654
2023-09-04 01:44:53.960 AAVSO_ P221_ RRIA_ AUTO S_Lyr I 2.000 1.06 1.63 10.004 0.057 66
2023-09-04 01:43:39.120 AAVSO_ P221_ RRIA_ AUTO S_Lyr R 3.300 1.06 1.79 10.501 0.084 47
2023-09-04 06:07:22.630 AAVSO_ P282_ BPEC_ AUTO V0730_Cep B 300.000 1.06 2.75 8.316 0.124 1601
2023-09-04 06:16:48.010 AAVSO_ P282_ BPEC_ AUTO V0730_Cep V 240.000 1.07 2.43 7.310 0.072 2203
2023-09-04 08:19:47.390 AAVSO_ P298_ WMEB_ AUTO AX_Aur B 120.000 1.33 2.69 8.287 0.082 1213
2023-09-04 09:18:32.040 AAVSO_ P298_ WMEB_ AUTO AX_Aur V 60.000 1.16 2.89 7.611 0.056 1812
2023-09-04 05:23:43.630 AAVSO_ P311_ RBCA_ AUTO GK_Per V 10.000 1.37 2.66 9.706 0.135 203
2023-09-04 08:50:39.590 AAVSO_ P48and60_ SFRA_ AUTO T_Cas B 10.000 1.12 2.32 8.894 0.054 227
2023-09-04 01:24:30.710 AAVSO_ P48and60_ SFRA_ AUTO WZ_Dra B 30.000 1.11 1.79 9.145 0.054 205

Images by Target Object

6_Cas
AS_Cas
AX_Aur
CH_Cyg
GK_Per
HD166045
HD_5501
NGC457
NGC_7790
NGC_869
Psi_Per
RR_Lyr
R_Aql
SS_Cyg
S_Lyr
TT_Aql
TX_Psc
T_Cas
V0347_Lac
V0711_Tau
V0730_Cep
VV_Cep
WZ_Cas
WZ_Dra
W_Cas
del_Cep
rho_Cas

6_Cas

AUID 000-BCS-000

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 05:36:18.910 AAVSO_ P115_ ETOA_ AUTO SU 2.250 1.06 -0.1 a0321.fits Y 2.93 7.693 0.016 384 6
2023-09-04 05:37:54.005 AAVSO_ P115_ ETOA_ AUTO B 1.500 1.06 -0.1 a0322.fits Y 2.27 4.915 0.004 5612 10
2023-09-04 05:41:01.535 AAVSO_ P115_ ETOA_ AUTO V 0.750 1.06 -0.1 a0323.fits Y 1.99 4.849 0.004 6746 20
2023-09-04 05:46:31.630 AAVSO_ P115_ ETOA_ AUTO I 0.530 1.06 0.0 a0324.fits Y 2.06 6.187 0.008 2111 30

AS_Cas

AUID 000-BDJ-581

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 02:39:55.730 AAVSO_ P145_ BETB_ AUTO B 180.000 1.24 -3.7 a0255.fits Y 2.56 6.705 0.018 1932
2023-09-04 02:43:07.790 AAVSO_ P145_ BETB_ AUTO B 180.000 1.24 -3.6 a0256.fits Y 2.34 6.701 0.018 1960
2023-09-04 02:46:18.980 AAVSO_ P145_ BETB_ AUTO B 180.000 1.23 -3.6 a0257.fits Y 2.36 6.724 0.019 1914
2023-09-04 02:49:33.060 AAVSO_ P145_ BETB_ AUTO V 90.000 1.23 -3.5 a0258.fits Y 2.40 6.237 0.012 2508
2023-09-04 02:51:15.180 AAVSO_ P145_ BETB_ AUTO V 90.000 1.23 -3.5 a0259.fits Y 2.24 6.215 0.011 2696
2023-09-04 02:52:57.310 AAVSO_ P145_ BETB_ AUTO V 90.000 1.23 -3.5 a0260.fits Y 2.43 6.251 0.012 2596
2023-09-04 02:54:40.180 AAVSO_ P145_ BETB_ AUTO R 90.000 1.22 -3.4 a0261.fits Y 2.43 5.680 0.008 4305
2023-09-04 02:56:21.750 AAVSO_ P145_ BETB_ AUTO R 90.000 1.22 -3.4 a0262.fits Y 2.37 5.697 0.008 3862
2023-09-04 02:58:03.060 AAVSO_ P145_ BETB_ AUTO R 90.000 1.22 -3.4 a0263.fits Y 2.35 5.742 0.008 4126
2023-09-04 02:59:46.180 AAVSO_ P145_ BETB_ AUTO I 90.000 1.21 -3.3 a0264.fits Y 2.45 6.439 0.011 1791
2023-09-04 03:01:27.500 AAVSO_ P145_ BETB_ AUTO I 90.000 1.21 -3.3 a0265.fits Y 2.50 6.433 0.011 1618
2023-09-04 03:03:08.810 AAVSO_ P145_ BETB_ AUTO I 90.000 1.21 -3.3 a0266.fits Y 2.61 6.516 0.012 1659
2023-09-04 07:52:45.090 AAVSO_ P145_ BETB_ AUTO B 180.000 1.10 1.6 a0349.fits Y 2.84 7.775 0.056 1532
2023-09-04 07:55:57.660 AAVSO_ P145_ BETB_ AUTO B 180.000 1.10 1.6 a0350.fits Y 2.57 7.823 0.063 1637
2023-09-04 07:59:09.660 AAVSO_ P145_ BETB_ AUTO B 180.000 1.11 1.7 a0351.fits Y 2.42 7.669 0.054 1654
2023-09-04 08:02:22.840 AAVSO_ P145_ BETB_ AUTO V 90.000 1.11 1.7 a0352.fits Y 2.32 7.474 0.042 1683
2023-09-04 08:04:04.780 AAVSO_ P145_ BETB_ AUTO V 90.000 1.11 1.7 a0353.fits Y 2.28 7.641 0.050 1628
2023-09-04 08:05:46.030 AAVSO_ P145_ BETB_ AUTO V 90.000 1.11 1.8 a0354.fits Y 2.21 7.542 0.045 1589
2023-09-04 08:07:29.600 AAVSO_ P145_ BETB_ AUTO R 90.000 1.11 1.8 a0355.fits Y 2.43 6.242 0.014 3065
2023-09-04 08:09:11.780 AAVSO_ P145_ BETB_ AUTO R 90.000 1.11 1.8 a0356.fits Y 2.54 5.941 0.010 2903
2023-09-04 08:10:53.030 AAVSO_ P145_ BETB_ AUTO R 90.000 1.11 1.9 a0357.fits Y 2.53 5.895 0.010 3311
2023-09-04 08:12:35.910 AAVSO_ P145_ BETB_ AUTO I 90.000 1.11 1.9 a0358.fits Y 2.33 6.742 0.015 1479
2023-09-04 08:14:17.720 AAVSO_ P145_ BETB_ AUTO I 90.000 1.12 1.9 a0359.fits Y 2.39 6.619 0.013 1723
2023-09-04 08:15:59.600 AAVSO_ P145_ BETB_ AUTO I 90.000 1.12 1.9 a0360.fits Y 2.38 6.576 0.012 1682

AX_Aur

AUID 000-BDG-809

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 08:19:47.390 AAVSO_ P298_ WMEB_ AUTO B 120.000 1.33 -3.3 a0361.fits Y 2.69 8.287 0.082 1213
2023-09-04 08:22:01.200 AAVSO_ P298_ WMEB_ AUTO V 60.000 1.32 -3.3 a0362.fits Y 2.74 7.584 0.038 1094
2023-09-04 08:23:14.760 AAVSO_ P298_ WMEB_ AUTO I 60.000 1.32 -3.3 a0363.fits Y 2.46 7.705 0.028 789
2023-09-04 09:16:18.900 AAVSO_ P298_ WMEB_ AUTO B 120.000 1.16 -2.4 a0393.fits Y 3.12
2023-09-04 09:18:32.040 AAVSO_ P298_ WMEB_ AUTO V 60.000 1.16 -2.4 a0394.fits Y 2.89 7.611 0.056 1812
2023-09-04 09:19:46.310 AAVSO_ P298_ WMEB_ AUTO I 60.000 1.16 -2.3 a0395.fits Y 2.62 7.781 0.041 957

CH_Cyg

AUID 000-BCG-667

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 01:19:01.210 AAVSO_ P130_ CCHC_ AUTO B 10.000 1.01 -0.0 a0163.fits Y 1.65 5.699 0.006 4468
2023-09-04 01:19:23.280 AAVSO_ P130_ CCHC_ AUTO B 10.000 1.01 0.0 a0164.fits Y 1.65 5.686 0.006 5728
2023-09-04 01:20:37.460 AAVSO_ P130_ CCHC_ AUTO B 10.000 1.01 0.0 a0165.fits Y 1.70 5.710 0.006 4719
2023-09-04 01:22:16.340 AAVSO_ P130_ CCHC_ AUTO V 3.980 1.01 0.0 a0166.fits Y 1.56 5.411 0.005 4820 5

GK_Per

AUID 000-BBG-044

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 05:23:43.630 AAVSO_ P311_ RBCA_ AUTO V 10.000 1.37 -4.0 a0316.fits Y 2.66 9.706 0.135 203

HD166045

AUID 000-BCB-380

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 00:17:50.840 AAVSO_ P999Armada_ MZK_ AUTO B 4.590 1.05 0.2 a0109.fits Y 2.29 2.762 0.002 53201 4
2023-09-04 00:18:47.020 AAVSO_ P999Armada_ MZK_ AUTO B 4.590 1.05 0.3 a0110.fits Y 2.33 2.770 0.002 43758 3
2023-09-04 00:19:35.260 AAVSO_ P999Armada_ MZK_ AUTO B 4.590 1.05 0.3 a0111.fits Y 2.21 2.778 0.002 49512 3
2023-09-04 00:20:31.910 AAVSO_ P999Armada_ MZK_ AUTO V 3.960 1.05 0.3 a0112.fits Y 2.02 2.814 0.002 51045 4
2023-09-04 00:21:26.445 AAVSO_ P999Armada_ MZK_ AUTO V 3.960 1.05 0.3 a0113.fits Y 2.22 2.803 0.002 50930 3
2023-09-04 00:22:11.820 AAVSO_ P999Armada_ MZK_ AUTO V 3.960 1.05 0.3 a0114.fits Y 2.09 2.805 0.002 49970 3
2023-09-04 00:23:07.225 AAVSO_ P999Armada_ MZK_ AUTO R 3.900 1.05 0.3 a0115.fits Y 2.05 2.987 0.002 46552 4
2023-09-04 00:24:01.755 AAVSO_ P999Armada_ MZK_ AUTO R 3.900 1.05 0.4 a0116.fits Y 1.91 2.993 0.002 51144 3
2023-09-04 00:24:48.010 AAVSO_ P999Armada_ MZK_ AUTO R 3.900 1.05 0.4 a0117.fits Y 1.80 2.998 0.002 48407 3

HD_5501

AUID 000-BPQ-427

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 03:06:06.440 AAVSO_ P999ALGOL_ Henden_ MANUAL B 20.000 1.26 -3.8 a0267.fits Y 2.22 4.921 0.005 7154
2023-09-04 03:06:40.260 AAVSO_ P999ALGOL_ Henden_ MANUAL V 10.000 1.26 -3.8 a0268.fits Y 2.09 5.350 0.006 4521
2023-09-04 03:07:02.810 AAVSO_ P999ALGOL_ Henden_ MANUAL R 10.000 1.26 -3.7 a0269.fits Y 2.27 5.252 0.005 4509
2023-09-04 03:07:25.180 AAVSO_ P999ALGOL_ Henden_ MANUAL I 15.000 1.25 -3.7 a0270.fits Y 2.50 6.059 0.008 2038
2023-09-04 03:08:06.810 AAVSO_ P999ALGOL_ Henden_ MANUAL B 20.000 1.25 -3.7 a0271.fits Y 2.36 4.902 0.004 7370
2023-09-04 03:08:40.250 AAVSO_ P999ALGOL_ Henden_ MANUAL V 10.000 1.25 -3.7 a0272.fits Y 2.24 5.266 0.005 5852
2023-09-04 03:09:03.750 AAVSO_ P999ALGOL_ Henden_ MANUAL R 10.000 1.25 -3.7 a0273.fits Y 2.18 5.196 0.005 5738
2023-09-04 03:09:26.560 AAVSO_ P999ALGOL_ Henden_ MANUAL I 15.000 1.25 -3.7 a0274.fits Y 2.39 5.992 0.007 2671
2023-09-04 03:10:08.810 AAVSO_ P999ALGOL_ Henden_ MANUAL B 20.000 1.25 -3.7 a0275.fits Y 2.12 4.939 0.005 7663
2023-09-04 03:10:41.750 AAVSO_ P999ALGOL_ Henden_ MANUAL V 10.000 1.25 -3.7 a0276.fits Y 2.13 5.369 0.006 5544
2023-09-04 03:11:04.000 AAVSO_ P999ALGOL_ Henden_ MANUAL R 10.000 1.25 -3.7 a0277.fits Y 2.02 5.377 0.006 5912
2023-09-04 03:11:26.430 AAVSO_ P999ALGOL_ Henden_ MANUAL I 15.000 1.25 -3.7 a0278.fits Y 2.20 6.164 0.008 2773

NGC457

AUID None

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 03:16:49.250 AAVSO_ P286_ TKAA_ AUTO SU 300.000 1.27 -3.9 a0279.fits Y 4.02
2023-09-04 03:22:00.620 AAVSO_ P286_ TKAA_ AUTO SU 300.000 1.26 -3.9 a0280.fits Y 3.78
2023-09-04 03:27:10.810 AAVSO_ P286_ TKAA_ AUTO SU 300.000 1.25 -3.8 a0281.fits Y 3.58
2023-09-04 03:32:24.060 AAVSO_ P286_ TKAA_ AUTO SG 120.000 1.25 -3.7 a0282.fits Y 2.58
2023-09-04 03:34:34.310 AAVSO_ P286_ TKAA_ AUTO SG 120.000 1.24 -3.7 a0283.fits Y 2.56
2023-09-04 03:36:45.370 AAVSO_ P286_ TKAA_ AUTO SG 120.000 1.24 -3.6 a0284.fits Y 2.54
2023-09-04 03:38:58.060 AAVSO_ P286_ TKAA_ AUTO SR 120.000 1.23 -3.6 a0285.fits Y 2.39
2023-09-04 03:41:09.430 AAVSO_ P286_ TKAA_ AUTO SR 120.000 1.23 -3.5 a0286.fits Y 2.27
2023-09-04 03:43:19.870 AAVSO_ P286_ TKAA_ AUTO SR 120.000 1.22 -3.5 a0287.fits Y 2.38
2023-09-04 03:45:32.690 AAVSO_ P286_ TKAA_ AUTO SI 120.000 1.22 -3.5 a0288.fits Y 2.47
2023-09-04 03:47:44.000 AAVSO_ P286_ TKAA_ AUTO SI 120.000 1.21 -3.4 a0289.fits Y 2.44
2023-09-04 03:49:54.450 AAVSO_ P286_ TKAA_ AUTO SI 120.000 1.21 -3.4 a0290.fits Y 2.41
2023-09-04 03:52:07.200 AAVSO_ P286_ TKAA_ AUTO ZS 120.000 1.21 -3.4 a0291.fits Y 2.41
2023-09-04 04:31:27.180 AAVSO_ P286_ TKAA_ AUTO SU 300.000 1.14 -2.7 a0292.fits Y 4.60
2023-09-04 04:36:38.680 AAVSO_ P286_ TKAA_ AUTO SU 300.000 1.13 -2.6 a0293.fits Y 4.52
2023-09-04 04:41:49.180 AAVSO_ P286_ TKAA_ AUTO SU 300.000 1.12 -2.5 a0294.fits Y 4.26
2023-09-04 04:47:03.300 AAVSO_ P286_ TKAA_ AUTO SG 120.000 1.12 -2.4 a0295.fits Y 2.90
2023-09-04 04:49:13.530 AAVSO_ P286_ TKAA_ AUTO SG 120.000 1.12 -2.4 a0296.fits Y 2.91
2023-09-04 04:51:24.850 AAVSO_ P286_ TKAA_ AUTO SG 120.000 1.12 -2.4 a0297.fits Y 2.90
2023-09-04 04:53:36.970 AAVSO_ P286_ TKAA_ AUTO SR 120.000 1.11 -2.3 a0298.fits Y 2.63
2023-09-04 04:55:47.160 AAVSO_ P286_ TKAA_ AUTO SR 120.000 1.11 -2.3 a0299.fits Y 2.78
2023-09-04 04:57:58.910 AAVSO_ P286_ TKAA_ AUTO SR 120.000 1.11 -2.3 a0300.fits Y 2.71
2023-09-04 05:00:10.660 AAVSO_ P286_ TKAA_ AUTO SI 120.000 1.11 -2.2 a0301.fits Y 2.79
2023-09-04 05:02:21.220 AAVSO_ P286_ TKAA_ AUTO SI 120.000 1.10 -2.2 a0302.fits Y 2.84
2023-09-04 05:04:32.590 AAVSO_ P286_ TKAA_ AUTO SI 120.000 1.10 -2.1 a0303.fits Y 2.92
2023-09-04 05:06:45.970 AAVSO_ P286_ TKAA_ AUTO ZS 120.000 1.10 -2.1 a0304.fits Y 2.86
2023-09-04 05:08:56.530 AAVSO_ P286_ TKAA_ AUTO ZS 120.000 1.10 -2.1 a0305.fits Y 2.76
2023-09-04 05:11:07.340 AAVSO_ P286_ TKAA_ AUTO ZS 120.000 1.09 -2.0 a0306.fits Y 2.66

NGC_7790

AUID None

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 01:55:10.130 AAVSO_ P141_ SPP_ AUTO B 100.000 1.28 -4.0 a0206.fits Y 2.05
2023-09-04 01:57:01.690 AAVSO_ P141_ SPP_ AUTO B 100.000 1.28 -3.9 a0207.fits Y 2.11
2023-09-04 01:58:53.060 AAVSO_ P141_ SPP_ AUTO B 100.000 1.27 -3.9 a0208.fits Y 2.03
2023-09-04 02:00:45.190 AAVSO_ P141_ SPP_ AUTO B 100.000 1.27 -3.9 a0209.fits Y 2.13
2023-09-04 02:02:39.190 AAVSO_ P141_ SPP_ AUTO V 60.000 1.26 -3.8 a0210.fits Y 2.09
2023-09-04 02:03:50.320 AAVSO_ P141_ SPP_ AUTO V 60.000 1.26 -3.8 a0211.fits Y 2.14
2023-09-04 02:05:01.820 AAVSO_ P141_ SPP_ AUTO V 60.000 1.26 -3.8 a0212.fits Y 2.15
2023-09-04 02:06:13.690 AAVSO_ P141_ SPP_ AUTO V 60.000 1.26 -3.8 a0213.fits Y 2.09
2023-09-04 02:07:27.130 AAVSO_ P141_ SPP_ AUTO R 45.000 1.26 -3.8 a0214.fits Y 2.10
2023-09-04 02:08:23.690 AAVSO_ P141_ SPP_ AUTO R 45.000 1.25 -3.7 a0215.fits Y 2.12
2023-09-04 02:09:19.880 AAVSO_ P141_ SPP_ AUTO R 45.000 1.25 -3.7 a0216.fits Y 2.08
2023-09-04 02:10:17.250 AAVSO_ P141_ SPP_ AUTO R 45.000 1.25 -3.7 a0217.fits Y 2.10
2023-09-04 02:11:15.810 AAVSO_ P141_ SPP_ AUTO I 30.000 1.25 -3.7 a0218.fits Y 2.12
2023-09-04 02:11:56.820 AAVSO_ P141_ SPP_ AUTO I 30.000 1.25 -3.7 a0219.fits Y 2.09
2023-09-04 02:12:38.250 AAVSO_ P141_ SPP_ AUTO I 30.000 1.25 -3.7 a0220.fits Y 2.11
2023-09-04 02:13:19.130 AAVSO_ P141_ SPP_ AUTO I 30.000 1.24 -3.7 a0221.fits Y 2.03

NGC_869

AUID None

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 05:14:37.340 AAVSO_ P294_ MTJA_ AUTO B 60.000 1.17 -3.0 a0307.fits Y 3.05
2023-09-04 05:15:49.090 AAVSO_ P294_ MTJA_ AUTO B 60.000 1.16 -3.0 a0308.fits Y 3.10
2023-09-04 05:17:01.400 AAVSO_ P294_ MTJA_ AUTO B 60.000 1.16 -2.9 a0309.fits Y 3.12
2023-09-04 05:18:14.720 AAVSO_ P294_ MTJA_ AUTO V 30.000 1.16 -2.9 a0310.fits Y 2.67
2023-09-04 05:18:55.690 AAVSO_ P294_ MTJA_ AUTO V 30.000 1.16 -2.9 a0311.fits Y 2.74
2023-09-04 05:19:37.570 AAVSO_ P294_ MTJA_ AUTO V 30.000 1.16 -2.9 a0312.fits Y 2.79
2023-09-04 05:20:21.880 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.16 -2.9 a0313.fits Y 2.68
2023-09-04 05:21:03.250 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.16 -2.9 a0314.fits Y 2.67
2023-09-04 05:21:44.380 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.16 -2.9 a0315.fits Y 2.72
2023-09-04 07:42:22.400 AAVSO_ P294_ MTJA_ AUTO B 60.000 1.03 -0.5 a0340.fits Y 3.04
2023-09-04 07:43:34.090 AAVSO_ P294_ MTJA_ AUTO B 60.000 1.03 -0.5 a0341.fits Y 3.02
2023-09-04 07:44:45.530 AAVSO_ P294_ MTJA_ AUTO B 60.000 1.03 -0.5 a0342.fits Y 3.05
2023-09-04 07:45:58.840 AAVSO_ P294_ MTJA_ AUTO V 30.000 1.03 -0.4 a0343.fits Y 2.74
2023-09-04 07:46:40.470 AAVSO_ P294_ MTJA_ AUTO V 30.000 1.03 -0.4 a0344.fits Y 2.70
2023-09-04 07:47:21.280 AAVSO_ P294_ MTJA_ AUTO V 30.000 1.03 -0.4 a0345.fits Y 2.85
2023-09-04 07:48:05.410 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.03 -0.4 a0346.fits Y 2.65
2023-09-04 07:48:46.710 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.03 -0.4 a0347.fits Y 2.73
2023-09-04 07:49:28.780 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.03 -0.4 a0348.fits Y 2.63
2023-09-04 08:41:02.270 AAVSO_ P294_ MTJA_ AUTO B 60.000 1.03 0.5 a0368.fits Y 2.24
2023-09-04 08:42:14.200 AAVSO_ P294_ MTJA_ AUTO B 60.000 1.03 0.5 a0369.fits Y 2.08
2023-09-04 08:43:26.130 AAVSO_ P294_ MTJA_ AUTO B 60.000 1.03 0.5 a0370.fits Y 2.23
2023-09-04 08:44:39.380 AAVSO_ P294_ MTJA_ AUTO V 30.000 1.03 0.5 a0371.fits Y 2.14
2023-09-04 08:45:20.760 AAVSO_ P294_ MTJA_ AUTO V 30.000 1.03 0.6 a0372.fits Y 2.02
2023-09-04 08:46:02.760 AAVSO_ P294_ MTJA_ AUTO V 30.000 1.03 0.6 a0373.fits Y 2.43
2023-09-04 08:46:47.010 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.03 0.6 a0374.fits Y 2.09
2023-09-04 08:47:28.510 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.03 0.6 a0375.fits Y 2.13
2023-09-04 08:48:10.320 AAVSO_ P294_ MTJA_ AUTO I 30.000 1.03 0.6 a0376.fits Y 2.02

Psi_Per

AUID 000-BCW-814

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 09:05:57.960 AAVSO_ P74_ jcmat_ AUTO V 0.500 1.01 -0.4 a0389.fits Y 1.86 4.165 0.003 13482 6
2023-09-04 09:08:17.740 AAVSO_ P74_ jcmat_ AUTO B 0.610 1.01 -0.4 a0390.fits Y 2.11 3.936 0.003 13971 17
2023-09-04 09:10:48.490 AAVSO_ P74_ jcmat_ AUTO V 0.500 1.01 -0.3 a0391.fits Y 1.58 4.288 0.003 15526 6
2023-09-04 09:13:08.495 AAVSO_ P74_ jcmat_ AUTO B 0.610 1.01 -0.3 a0392.fits Y 1.97 4.129 0.003 12862 17

RR_Lyr

AUID 000-BCG-719

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 00:45:57.600 AAVSO_ P331_ SKUB_ AUTO B 6.000 1.01 -0.6 a0130.fits Y 2.63 5.052 0.005 5036 3
2023-09-04 00:46:41.570 AAVSO_ P331_ SKUB_ AUTO B 6.000 1.01 -0.6 a0131.fits Y 2.57 5.051 0.005 6275 2
2023-09-04 00:47:40.100 AAVSO_ P331_ SKUB_ AUTO V 3.000 1.01 -0.5 a0132.fits Y 2.17 5.404 0.005 5585 5
2023-09-04 00:48:56.420 AAVSO_ P331_ SKUB_ AUTO V 3.000 1.01 -0.5 a0133.fits Y 1.96 5.393 0.005 5655 5

R_Aql

AUID 000-BCF-225

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 00:57:35.650 AAVSO_ P221_ RRIA_ AUTO B 10.000 1.23 -0.1 a0138.fits Y 1.93 4.874 0.004 8541
2023-09-04 00:57:56.900 AAVSO_ P221_ RRIA_ AUTO B 10.000 1.23 -0.1 a0139.fits Y 1.86 4.878 0.004 9663
2023-09-04 00:58:18.210 AAVSO_ P221_ RRIA_ AUTO B 10.000 1.23 -0.0 a0140.fits Y 1.86 4.886 0.004 8449
2023-09-04 00:58:39.270 AAVSO_ P221_ RRIA_ AUTO B 10.000 1.23 -0.0 a0141.fits Y 1.95 4.883 0.004 9452
2023-09-04 00:59:00.960 AAVSO_ P221_ RRIA_ AUTO B 10.000 1.23 -0.0 a0142.fits Y 1.91 4.847 0.004 9313
2023-09-04 00:59:21.840 AAVSO_ P221_ RRIA_ AUTO B 10.000 1.23 -0.0 a0143.fits Y 2.03 4.865 0.004 7828
2023-09-04 00:59:43.770 AAVSO_ P221_ RRIA_ AUTO B 10.000 1.23 -0.0 a0144.fits Y 1.96 4.853 0.004 8611
2023-09-04 01:00:05.020 AAVSO_ P221_ RRIA_ AUTO B 10.000 1.23 -0.0 a0145.fits Y 1.88 4.816 0.004 10417
2023-09-04 01:00:26.400 AAVSO_ P221_ RRIA_ AUTO B 10.000 1.23 -0.0 a0146.fits Y 1.88 4.872 0.004 9180
2023-09-04 01:00:47.210 AAVSO_ P221_ RRIA_ AUTO B 10.000 1.23 -0.0 a0147.fits Y 2.03 4.876 0.004 8800
2023-09-04 01:01:17.990 AAVSO_ P221_ RRIA_ AUTO V 5.000 1.23 0.0 a0148.fits Y 2.02 4.257 0.003 11099 2
2023-09-04 01:01:50.865 AAVSO_ P221_ RRIA_ AUTO V 5.000 1.23 0.0 a0149.fits Y 2.00 4.271 0.003 14024 2
2023-09-04 01:03:33.050 AAVSO_ P221_ RRIA_ AUTO V 5.000 1.23 0.0 a0150.fits Y 1.83 4.279 0.003 10950 2
2023-09-04 01:04:29.210 AAVSO_ P221_ RRIA_ AUTO V 5.000 1.23 0.1 a0151.fits Y 1.84 4.262 0.003 12657 2
2023-09-04 01:05:01.900 AAVSO_ P221_ RRIA_ AUTO V 5.000 1.23 0.1 a0152.fits Y 2.04 4.256 0.003 13353 2
2023-09-04 01:06:23.150 AAVSO_ P221_ RRIA_ AUTO R 1.700 1.23 0.1 a0153.fits Y 1.92 4.094 0.003 14914 10
2023-09-04 01:08:26.900 AAVSO_ P221_ RRIA_ AUTO I 1.000 1.23 0.1 a0154.fits Y 1.71 3.871 0.003 17828 10

SS_Cyg

AUID 000-BCP-220

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 00:10:27.780 AAVSO_ P149_ BJAK_ AUTO V 15.000 1.25 -3.5 a0101.fits Y 2.52 7.298 0.024 1104
2023-09-04 00:10:54.780 AAVSO_ P149_ BJAK_ AUTO V 15.000 1.25 -3.4 a0102.fits Y 2.42 7.334 0.024 1083
2023-09-04 00:11:20.840 AAVSO_ P149_ BJAK_ AUTO V 27.470 1.25 -3.4 a0103.fits Y 2.47 6.679 0.017 1875
2023-09-04 00:12:00.340 AAVSO_ P149_ BJAK_ AUTO V 27.470 1.25 -3.4 a0104.fits Y 2.51 6.662 0.016 1940
2023-09-04 00:12:40.970 AAVSO_ P149_ BJAK_ AUTO R 15.000 1.25 -3.4 a0105.fits Y 2.35 7.047 0.016 1171
2023-09-04 00:13:07.970 AAVSO_ P149_ BJAK_ AUTO R 15.000 1.25 -3.4 a0106.fits Y 2.44 7.006 0.015 1296
2023-09-04 00:13:34.090 AAVSO_ P149_ BJAK_ AUTO R 35.510 1.24 -3.4 a0107.fits Y 2.47 6.071 0.010 2410
2023-09-04 00:14:21.350 AAVSO_ P149_ BJAK_ AUTO R 35.510 1.24 -3.4 a0108.fits Y 2.40 6.109 0.010 2495
2023-09-04 00:39:28.630 AAVSO_ P149_ BJAK_ AUTO V 15.000 1.18 -3.0 a0122.fits Y 2.33 7.305 0.015 872
2023-09-04 00:39:54.690 AAVSO_ P149_ BJAK_ AUTO V 15.000 1.18 -3.0 a0123.fits Y 2.31 7.253 0.015 1049
2023-09-04 00:40:21.070 AAVSO_ P149_ BJAK_ AUTO V 27.470 1.18 -3.0 a0124.fits Y 2.43 6.615 0.011 1562
2023-09-04 00:40:59.880 AAVSO_ P149_ BJAK_ AUTO V 27.470 1.18 -2.9 a0125.fits Y 2.26 6.608 0.011 1624
2023-09-04 00:41:39.760 AAVSO_ P149_ BJAK_ AUTO R 15.000 1.18 -2.9 a0126.fits Y 2.23 7.050 0.013 1189
2023-09-04 00:42:06.690 AAVSO_ P149_ BJAK_ AUTO R 15.000 1.17 -2.9 a0127.fits Y 2.19 7.076 0.014 1163
2023-09-04 00:42:33.940 AAVSO_ P149_ BJAK_ AUTO R 35.510 1.17 -2.9 a0128.fits Y 2.15 6.136 0.008 2735
2023-09-04 00:43:20.890 AAVSO_ P149_ BJAK_ AUTO R 35.510 1.17 -2.9 a0129.fits Y 2.31 6.138 0.008 2458
2023-09-04 01:11:51.270 AAVSO_ P149_ BJAK_ AUTO V 15.000 1.12 -2.4 a0155.fits Y 2.20 7.662 0.019 583
2023-09-04 01:12:17.590 AAVSO_ P149_ BJAK_ AUTO V 15.000 1.12 -2.4 a0156.fits Y 1.88 7.670 0.019 762
2023-09-04 01:12:43.710 AAVSO_ P149_ BJAK_ AUTO V 27.470 1.11 -2.4 a0157.fits Y 2.05 7.017 0.014 1583
2023-09-04 01:13:22.590 AAVSO_ P149_ BJAK_ AUTO V 27.470 1.11 -2.4 a0158.fits Y 1.94 7.027 0.014 1607
2023-09-04 01:14:03.900 AAVSO_ P149_ BJAK_ AUTO R 15.000 1.11 -2.4 a0159.fits Y 1.86 7.480 0.017 1103
2023-09-04 01:14:30.960 AAVSO_ P149_ BJAK_ AUTO R 15.000 1.11 -2.4 a0160.fits Y 1.82 7.427 0.017 1026
2023-09-04 01:14:57.220 AAVSO_ P149_ BJAK_ AUTO R 35.510 1.11 -2.4 a0161.fits Y 1.98 6.455 0.010 2805
2023-09-04 01:15:43.840 AAVSO_ P149_ BJAK_ AUTO R 35.510 1.11 -2.4 a0162.fits Y 1.99 6.470 0.010 2284
2023-09-04 01:49:01.190 AAVSO_ P149_ BJAK_ AUTO V 15.000 1.06 -1.8 a0198.fits Y 1.88 7.772 0.022 730
2023-09-04 01:49:28.130 AAVSO_ P149_ BJAK_ AUTO V 15.000 1.06 -1.8 a0199.fits Y 1.94 7.797 0.022 807
2023-09-04 01:49:54.750 AAVSO_ P149_ BJAK_ AUTO V 27.470 1.06 -1.8 a0200.fits Y 1.92 7.110 0.015 1183
2023-09-04 01:50:33.320 AAVSO_ P149_ BJAK_ AUTO V 27.470 1.06 -1.8 a0201.fits Y 1.88 7.228 0.017 1425
2023-09-04 01:51:13.130 AAVSO_ P149_ BJAK_ AUTO R 15.000 1.06 -1.8 a0202.fits Y 1.74 7.454 0.018 1052
2023-09-04 01:51:39.000 AAVSO_ P149_ BJAK_ AUTO R 15.000 1.06 -1.8 a0203.fits Y 1.77 7.461 0.018 889
2023-09-04 01:52:05.440 AAVSO_ P149_ BJAK_ AUTO R 35.510 1.06 -1.8 a0204.fits Y 1.93 6.480 0.011 2218
2023-09-04 01:52:52.630 AAVSO_ P149_ BJAK_ AUTO R 35.510 1.06 -1.7 a0205.fits Y 1.94 6.483 0.011 2620
2023-09-04 02:15:21.690 AAVSO_ P149_ BJAK_ AUTO V 15.000 1.04 -1.4 a0222.fits Y 1.83 7.768 0.022 797
2023-09-04 02:15:47.880 AAVSO_ P149_ BJAK_ AUTO V 15.000 1.04 -1.4 a0223.fits Y 1.81 7.716 0.021 742
2023-09-04 02:16:14.820 AAVSO_ P149_ BJAK_ AUTO V 27.470 1.03 -1.3 a0224.fits Y 1.87 7.034 0.015 1498
2023-09-04 02:16:53.820 AAVSO_ P149_ BJAK_ AUTO V 27.470 1.03 -1.3 a0225.fits Y 1.84 7.057 0.015 1452
2023-09-04 02:17:35.010 AAVSO_ P149_ BJAK_ AUTO R 15.000 1.03 -1.3 a0226.fits Y 1.83 7.451 0.018 1033
2023-09-04 02:18:01.560 AAVSO_ P149_ BJAK_ AUTO R 15.000 1.03 -1.3 a0227.fits Y 1.86 7.454 0.019 910
2023-09-04 02:18:28.060 AAVSO_ P149_ BJAK_ AUTO R 35.510 1.03 -1.3 a0228.fits Y 2.01 6.478 0.011 2020
2023-09-04 02:19:14.540 AAVSO_ P149_ BJAK_ AUTO R 35.510 1.03 -1.3 a0229.fits Y 2.09 6.502 0.011 2416

S_Lyr

AUID 000-BCF-800

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 01:32:49.400 AAVSO_ P221_ RRIA_ AUTO B 20.000 1.05 0.4 a0174.fits Y 1.81
2023-09-04 01:33:21.960 AAVSO_ P221_ RRIA_ AUTO B 20.000 1.05 0.4 a0175.fits Y 1.88
2023-09-04 01:33:53.910 AAVSO_ P221_ RRIA_ AUTO B 20.000 1.05 0.4 a0176.fits Y 1.88
2023-09-04 01:34:26.270 AAVSO_ P221_ RRIA_ AUTO B 20.000 1.05 0.4 a0177.fits Y 1.79
2023-09-04 01:34:57.960 AAVSO_ P221_ RRIA_ AUTO B 20.000 1.05 0.5 a0178.fits Y 1.87
2023-09-04 01:35:30.150 AAVSO_ P221_ RRIA_ AUTO B 20.000 1.05 0.5 a0179.fits Y 1.86
2023-09-04 01:36:02.520 AAVSO_ P221_ RRIA_ AUTO B 20.000 1.05 0.5 a0180.fits Y 1.88
2023-09-04 01:36:35.090 AAVSO_ P221_ RRIA_ AUTO B 20.000 1.05 0.5 a0181.fits Y 1.91
2023-09-04 01:37:08.280 AAVSO_ P221_ RRIA_ AUTO B 20.000 1.05 0.5 a0182.fits Y 1.84
2023-09-04 01:37:39.840 AAVSO_ P221_ RRIA_ AUTO B 20.000 1.05 0.5 a0183.fits Y 1.87
2023-09-04 01:38:13.590 AAVSO_ P221_ RRIA_ AUTO V 10.000 1.05 0.5 a0184.fits Y 1.61
2023-09-04 01:38:35.090 AAVSO_ P221_ RRIA_ AUTO V 10.000 1.05 0.5 a0185.fits Y 1.79
2023-09-04 01:38:56.340 AAVSO_ P221_ RRIA_ AUTO V 10.000 1.05 0.5 a0186.fits Y 1.70
2023-09-04 01:39:17.900 AAVSO_ P221_ RRIA_ AUTO V 10.000 1.05 0.5 a0187.fits Y 1.69
2023-09-04 01:39:40.030 AAVSO_ P221_ RRIA_ AUTO V 10.000 1.05 0.5 a0188.fits Y 1.78
2023-09-04 01:40:01.780 AAVSO_ P221_ RRIA_ AUTO V 10.000 1.05 0.5 a0189.fits Y 1.79
2023-09-04 01:40:23.650 AAVSO_ P221_ RRIA_ AUTO V 10.000 1.05 0.5 a0190.fits Y 1.88
2023-09-04 01:40:45.210 AAVSO_ P221_ RRIA_ AUTO V 10.000 1.05 0.6 a0191.fits Y 1.85
2023-09-04 01:41:07.090 AAVSO_ P221_ RRIA_ AUTO V 10.000 1.06 0.6 a0192.fits Y 1.85
2023-09-04 01:41:28.340 AAVSO_ P221_ RRIA_ AUTO V 10.000 1.06 0.6 a0193.fits Y 1.83
2023-09-04 01:42:22.120 AAVSO_ P221_ RRIA_ AUTO R 3.300 1.06 0.6 a0194.fits Y 1.68 10.539 0.085 52 5
2023-09-04 01:43:39.120 AAVSO_ P221_ RRIA_ AUTO R 3.300 1.06 0.6 a0195.fits Y 1.79 10.501 0.084 47 5
2023-09-04 01:44:53.960 AAVSO_ P221_ RRIA_ AUTO I 2.000 1.06 0.6 a0196.fits Y 1.63 10.004 0.057 66 5
2023-09-04 01:46:01.775 AAVSO_ P221_ RRIA_ AUTO I 2.000 1.06 0.6 a0197.fits Y 1.53 10.012 0.057 77 5

TT_Aql

AUID 000-BCF-419

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 00:52:43.650 AAVSO_ P331_ SKUB_ AUTO B 6.000 1.35 -0.2 a0134.fits Y 1.93 5.680 0.006 3109 3
2023-09-04 00:53:27.055 AAVSO_ P331_ SKUB_ AUTO B 6.000 1.35 -0.2 a0135.fits Y 1.95 5.659 0.006 3823 2
2023-09-04 00:54:23.650 AAVSO_ P331_ SKUB_ AUTO V 3.000 1.35 -0.1 a0136.fits Y 1.89 5.138 0.005 4369 5
2023-09-04 00:55:37.150 AAVSO_ P331_ SKUB_ AUTO V 3.000 1.35 -0.1 a0137.fits Y 1.73 5.149 0.005 4650 5

TX_Psc

AUID 000-BCR-950

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 05:26:40.130 AAVSO_ P117_ RRIA_ AUTO B 8.000 1.31 -0.2 a0317.fits Y 2.07 4.436 0.003 9947 3
2023-09-04 05:27:55.910 AAVSO_ P117_ RRIA_ AUTO V 1.460 1.31 -0.2 a0318.fits Y 1.76 3.686 0.002 23816 7
2023-09-04 05:30:37.255 AAVSO_ P117_ RRIA_ AUTO R 0.520 1.31 -0.2 a0319.fits Y 1.77 3.692 0.002 20120 20
2023-09-04 05:33:26.355 AAVSO_ P117_ RRIA_ AUTO I 1.170 1.31 -0.1 a0320.fits Y 1.68 3.399 0.002 24242 9

T_Cas

AUID 000-BBB-554

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 08:50:17.650 AAVSO_ P48and60_ SFRA_ AUTO B 10.000 1.12 2.6 a0377.fits Y 2.16 8.932 0.056 225
2023-09-04 08:50:39.590 AAVSO_ P48and60_ SFRA_ AUTO B 10.000 1.12 2.6 a0378.fits Y 2.32 8.894 0.054 227
2023-09-04 08:51:17.710 AAVSO_ P48and60_ SFRA_ AUTO V 5.000 1.12 2.6 a0379.fits Y 1.88 7.850 0.019 584 3
2023-09-04 08:52:47.650 AAVSO_ P48and60_ SFRA_ AUTO R 1.600 1.12 2.6 a0380.fits Y 1.77 6.743 0.010 1161 10
2023-09-04 08:54:53.400 AAVSO_ P48and60_ SFRA_ AUTO I 1.000 1.13 2.6 a0381.fits Y 1.61 5.875 0.007 2807 10

V0347_Lac

AUID 000-BCW-190

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 05:51:22.630 AAVSO_ P323_ MSD_ AUTO B 60.000 1.05 1.6 a0325.fits Y 2.56 7.849 0.036 774
2023-09-04 05:52:34.890 AAVSO_ P323_ MSD_ AUTO B 60.000 1.05 1.6 a0326.fits Y 2.51 7.820 0.035 819
2023-09-04 05:53:46.250 AAVSO_ P323_ MSD_ AUTO B 60.000 1.05 1.6 a0327.fits Y 2.59 7.818 0.032 669
2023-09-04 05:54:59.880 AAVSO_ P323_ MSD_ AUTO V 30.000 1.05 1.7 a0328.fits Y 2.53 7.613 0.025 714
2023-09-04 05:55:41.690 AAVSO_ P323_ MSD_ AUTO V 30.000 1.05 1.7 a0329.fits Y 2.35 7.611 0.025 727
2023-09-04 05:56:23.690 AAVSO_ P323_ MSD_ AUTO V 30.000 1.05 1.7 a0330.fits Y 2.65 7.630 0.025 691
2023-09-04 05:57:06.690 AAVSO_ P323_ MSD_ AUTO I 30.000 1.05 1.7 a0331.fits Y 2.43 8.300 0.032 350
2023-09-04 05:57:47.940 AAVSO_ P323_ MSD_ AUTO I 30.000 1.06 1.7 a0332.fits Y 2.29 8.296 0.034 427
2023-09-04 05:58:29.950 AAVSO_ P323_ MSD_ AUTO I 30.000 1.06 1.7 a0333.fits Y 2.63 8.299 0.033 308

V0711_Tau

AUID 000-BCX-280

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 09:23:26.060 AAVSO_ NorthSurvey_ HQ_ AUTO B 4.550 1.37 -0.1 a0396.fits Y 5.114 0.005 4989
2023-09-04 09:23:41.690 AAVSO_ NorthSurvey_ HQ_ AUTO V 2.280 1.37 -0.1 a0397.fits Y 2.51 5.057 0.005 4809

V0730_Cep

AUID 000-BDC-613

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 06:02:09.880 AAVSO_ P282_ BPEC_ AUTO B 300.000 1.06 1.2 a0334.fits Y 2.69 8.302 0.138 1663
2023-09-04 06:07:22.630 AAVSO_ P282_ BPEC_ AUTO B 300.000 1.06 1.3 a0335.fits Y 2.75 8.316 0.124 1601
2023-09-04 06:12:36.070 AAVSO_ P282_ BPEC_ AUTO V 240.000 1.07 1.4 a0336.fits Y 2.50 7.312 0.075 2028
2023-09-04 06:16:48.010 AAVSO_ P282_ BPEC_ AUTO V 240.000 1.07 1.5 a0337.fits Y 2.43 7.310 0.072 2203
2023-09-04 06:21:01.930 AAVSO_ P282_ BPEC_ AUTO R 240.000 1.07 1.6 a0338.fits Y 2.41 6.884 0.047 2445
2023-09-04 06:25:14.230 AAVSO_ P282_ BPEC_ AUTO R 240.000 1.08 1.6 a0339.fits Y 2.53 6.942 0.047 2451

VV_Cep

AUID 000-BCP-658

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 00:27:54.005 AAVSO_ NorthSurvey_ HQ_ AUTO B 3.950 1.22 -3.4 a0118.fits Y 2.54 3.815 0.003 19232 3
2023-09-04 00:29:15.225 AAVSO_ NorthSurvey_ HQ_ AUTO V 1.210 1.22 -3.4 a0119.fits Y 2.11 3.295 0.002 31175 9

WZ_Cas

AUID 000-BBB-022

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 02:21:34.850 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.23 -3.6 a0230.fits Y 2.12 6.943 0.013 1389
2023-09-04 02:21:59.050 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.23 -3.6 a0231.fits Y 2.08 6.962 0.013 1484
2023-09-04 02:22:23.290 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.23 -3.6 a0232.fits Y 2.00 6.942 0.013 1450
2023-09-04 02:22:47.350 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.23 -3.5 a0233.fits Y 2.00 6.908 0.013 1473
2023-09-04 02:23:11.290 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.23 -3.5 a0234.fits Y 2.09 6.912 0.012 1214
2023-09-04 02:23:35.480 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.23 -3.5 a0235.fits Y 1.90 6.897 0.012 1539
2023-09-04 02:23:59.790 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.23 -3.5 a0236.fits Y 1.93 6.878 0.012 1514
2023-09-04 02:24:24.160 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.23 -3.5 a0237.fits Y 2.22 6.907 0.012 1303
2023-09-04 02:24:48.170 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.23 -3.5 a0238.fits Y 2.06 6.909 0.013 1690
2023-09-04 02:25:12.160 AAVSO_ P221_ RRIA_ AUTO B 12.000 1.23 -3.5 a0239.fits Y 2.40 6.881 0.013 1122
2023-09-04 02:25:46.975 AAVSO_ P221_ RRIA_ AUTO V 6.000 1.23 -3.5 a0240.fits Y 1.99 4.432 0.003 11326 2
2023-09-04 02:26:22.885 AAVSO_ P221_ RRIA_ AUTO V 6.000 1.23 -3.5 a0241.fits Y 2.17 4.432 0.003 12237 2
2023-09-04 02:26:57.790 AAVSO_ P221_ RRIA_ AUTO V 6.000 1.22 -3.5 a0242.fits Y 2.09 4.433 0.003 10534 2
2023-09-04 02:27:33.355 AAVSO_ P221_ RRIA_ AUTO V 6.000 1.22 -3.5 a0243.fits Y 2.27 4.446 0.003 12913 2
2023-09-04 02:28:08.850 AAVSO_ P221_ RRIA_ AUTO V 6.000 1.22 -3.5 a0244.fits Y 1.95 4.440 0.003 13998 2
2023-09-04 02:28:59.290 AAVSO_ P221_ RRIA_ AUTO R 3.000 1.22 -3.5 a0245.fits Y 1.81 3.902 0.003 20605 4
2023-09-04 02:29:59.945 AAVSO_ P221_ RRIA_ AUTO R 3.000 1.22 -3.4 a0246.fits Y 2.37 3.923 0.003 16844 4
2023-09-04 02:31:00.480 AAVSO_ P221_ RRIA_ AUTO R 3.000 1.22 -3.4 a0247.fits Y 2.00 3.909 0.003 22130 4
2023-09-04 02:32:01.225 AAVSO_ P221_ RRIA_ AUTO R 3.000 1.22 -3.4 a0248.fits Y 1.89 3.909 0.003 22892 4
2023-09-04 02:33:02.110 AAVSO_ P221_ RRIA_ AUTO R 3.000 1.21 -3.4 a0249.fits Y 1.70 3.920 0.003 20851 4
2023-09-04 02:34:03.475 AAVSO_ P221_ RRIA_ AUTO I 3.000 1.21 -3.4 a0250.fits Y 1.98 4.017 0.003 14244 4
2023-09-04 02:35:02.695 AAVSO_ P221_ RRIA_ AUTO I 3.000 1.21 -3.3 a0251.fits Y 2.00 4.000 0.003 16545 4
2023-09-04 02:36:02.760 AAVSO_ P221_ RRIA_ AUTO I 3.000 1.21 -3.3 a0252.fits Y 2.23 4.001 0.003 14855 4
2023-09-04 02:37:03.105 AAVSO_ P221_ RRIA_ AUTO I 3.000 1.21 -3.3 a0253.fits Y 2.78 4.016 0.003 12799 4
2023-09-04 02:38:03.540 AAVSO_ P221_ RRIA_ AUTO I 3.000 1.20 -3.3 a0254.fits Y 1.95 4.006 0.003 15876 4

WZ_Dra

AUID 000-BBY-284

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 01:24:30.710 AAVSO_ P48and60_ SFRA_ AUTO B 30.000 1.11 2.5 a0167.fits Y 1.79 9.145 0.054 205
2023-09-04 01:25:12.770 AAVSO_ P48and60_ SFRA_ AUTO B 30.000 1.11 2.5 a0168.fits Y 1.81 9.131 0.054 216
2023-09-04 01:25:56.840 AAVSO_ P48and60_ SFRA_ AUTO V 20.000 1.12 2.5 a0169.fits Y 1.78 8.004 0.024 656
2023-09-04 01:26:27.900 AAVSO_ P48and60_ SFRA_ AUTO V 20.000 1.12 2.5 a0170.fits Y 1.78 7.980 0.023 664
2023-09-04 01:27:27.525 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.12 2.5 a0171.fits Y 1.57 8.600 0.026 353 5
2023-09-04 01:28:34.650 AAVSO_ P48and60_ SFRA_ AUTO R 2.000 1.12 2.6 a0172.fits Y 1.61 8.587 0.025 336 5
2023-09-04 01:30:11.680 AAVSO_ P48and60_ SFRA_ AUTO I 1.000 1.12 2.6 a0173.fits Y 1.61 8.308 0.021 418 10

W_Cas

AUID 000-BBC-192

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 08:57:16.340 AAVSO_ P48and60_ SFRA_ AUTO B 60.000 1.10 2.2 a0382.fits Y 2.57
2023-09-04 08:58:27.830 AAVSO_ P48and60_ SFRA_ AUTO B 60.000 1.10 2.2 a0383.fits Y 2.47
2023-09-04 08:59:40.900 AAVSO_ P48and60_ SFRA_ AUTO V 20.000 1.10 2.2 a0384.fits Y 2.45 7.556 0.025 735
2023-09-04 09:00:12.080 AAVSO_ P48and60_ SFRA_ AUTO V 20.000 1.10 2.2 a0385.fits Y 2.16 7.560 0.024 846
2023-09-04 09:00:52.900 AAVSO_ P48and60_ SFRA_ AUTO R 5.000 1.10 2.2 a0386.fits Y 2.18 7.061 0.013 1090 2
2023-09-04 09:01:25.400 AAVSO_ P48and60_ SFRA_ AUTO R 5.000 1.10 2.2 a0387.fits Y 2.05 7.042 0.013 1137 2
2023-09-04 09:02:20.710 AAVSO_ P48and60_ SFRA_ AUTO I 3.000 1.10 2.2 a0388.fits Y 1.84 7.406 0.014 752 5

del_Cep

AUID 000-BCQ-471

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 00:32:50.480 AAVSO_ P281_ KPRB_ AUTO B 0.730 1.27 -3.9 a0120.fits Y 2.64 2.845 0.002 44313 14
2023-09-04 00:36:14.255 AAVSO_ P281_ KPRB_ AUTO V 0.500 1.27 -3.8 a0121.fits Y 2.08 2.811 0.002 50965 20

rho_Cas

AUID 000-BCS-075

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-09-04 08:26:51.580 AAVSO_ P115_ ETOA_ AUTO SU 2.250 1.13 2.6 a0364.fits 8.770 0.027 155 6
2023-09-04 08:28:24.445 AAVSO_ P115_ ETOA_ AUTO B 1.500 1.13 2.7 a0365.fits Y 1.78 4.951 0.004 6134 10
2023-09-04 08:31:30.290 AAVSO_ P115_ ETOA_ AUTO V 0.750 1.14 2.7 a0366.fits Y 2.16 4.250 0.003 12362 20
2023-09-04 08:36:33.290 AAVSO_ P115_ ETOA_ AUTO I 0.530 1.14 2.8 a0367.fits Y 1.80 4.829 0.004 5835 30

Remark-o-matic Image View

View flat images
images 101 to 150
images 151 to 200
images 201 to 250
images 251 to 300
images 301 to 350
images 351 to 397

images 101 to 150

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:10:27.780 a0101.fits SS_Cyg V 15.000 1.25 -3.5 Y 2.52 7.298 0.024 1104 0.65
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:10:54.780 a0102.fits SS_Cyg V 15.000 1.25 -3.4 Y 2.42 7.334 0.024 1083 0.63
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:11:20.840 a0103.fits SS_Cyg V 27.470 1.25 -3.4 Y 2.47 6.679 0.017 1875 0.64
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:12:00.340 a0104.fits SS_Cyg V 27.470 1.25 -3.4 Y 2.51 6.662 0.016 1940 0.64
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:12:40.970 a0105.fits SS_Cyg R 15.000 1.25 -3.4 Y 2.35 7.047 0.016 1171 0.62
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:13:07.970 a0106.fits SS_Cyg R 15.000 1.25 -3.4 Y 2.44 7.006 0.015 1296 0.62
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:13:34.090 a0107.fits SS_Cyg R 35.510 1.24 -3.4 Y 2.47 6.071 0.01 2410 0.60
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:14:21.350 a0108.fits SS_Cyg R 35.510 1.24 -3.4 Y 2.40 6.109 0.01 2495 0.63
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:17:50.840 a0109.fits HD166045 B 4.590 1.05 0.2 Y 2.29 2.762 0.002 53201 4 0.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:18:47.020 a0110.fits HD166045 B 4.590 1.05 0.3 Y 2.33 2.77 0.002 43758 3 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:19:35.260 a0111.fits HD166045 B 4.590 1.05 0.3 Y 2.21 2.778 0.002 49512 3 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:20:31.910 a0112.fits HD166045 V 3.960 1.05 0.3 Y 2.02 2.814 0.002 51045 4 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:21:26.445 a0113.fits HD166045 V 3.960 1.05 0.3 Y 2.22 2.803 0.002 50930 3 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:22:11.820 a0114.fits HD166045 V 3.960 1.05 0.3 Y 2.09 2.805 0.002 49970 3 0.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:23:07.225 a0115.fits HD166045 R 3.900 1.05 0.3 Y 2.05 2.987 0.002 46552 4 0.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:24:01.755 a0116.fits HD166045 R 3.900 1.05 0.4 Y 1.91 2.993 0.002 51144 3 0.54
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:24:48.010 a0117.fits HD166045 R 3.900 1.05 0.4 Y 1.80 2.998 0.002 48407 3 0.55
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:27:54.005 a0118.fits VV_Cep B 3.950 1.22 -3.4 Y 2.54 3.815 0.003 19232 3 0.69
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:29:15.225 a0119.fits VV_Cep V 1.210 1.22 -3.4 Y 2.11 3.295 0.002 31175 9 0.70
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:32:50.480 a0120.fits del_Cep B 0.730 1.27 -3.9 Y 2.64 2.845 0.002 44313 14 0.57
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:36:14.255 a0121.fits del_Cep V 0.500 1.27 -3.8 Y 2.08 2.811 0.002 50965 20 0.56
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:39:28.630 a0122.fits SS_Cyg V 15.000 1.18 -3.0 Y 2.33 7.305 0.015 872 0.61
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:39:54.690 a0123.fits SS_Cyg V 15.000 1.18 -3.0 Y 2.31 7.253 0.015 1049 0.62
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:40:21.070 a0124.fits SS_Cyg V 27.470 1.18 -3.0 Y 2.43 6.615 0.011 1562 0.60
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:40:59.880 a0125.fits SS_Cyg V 27.470 1.18 -2.9 Y 2.26 6.608 0.011 1624 0.58
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:41:39.760 a0126.fits SS_Cyg R 15.000 1.18 -2.9 Y 2.23 7.05 0.013 1189 0.58
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:42:06.690 a0127.fits SS_Cyg R 15.000 1.17 -2.9 Y 2.19 7.076 0.014 1163 0.58
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:42:33.940 a0128.fits SS_Cyg R 35.510 1.17 -2.9 Y 2.15 6.136 0.008 2735 0.57
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:43:20.890 a0129.fits SS_Cyg R 35.510 1.17 -2.9 Y 2.31 6.138 0.008 2458 0.55
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:45:57.600 a0130.fits RR_Lyr B 6.000 1.01 -0.6 Y 2.63 5.052 0.005 5036 3 0.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:46:41.570 a0131.fits RR_Lyr B 6.000 1.01 -0.6 Y 2.57 5.051 0.005 6275 2 0.33
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:47:40.100 a0132.fits RR_Lyr V 3.000 1.01 -0.5 Y 2.17 5.404 0.005 5585 5 0.34
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:48:56.420 a0133.fits RR_Lyr V 3.000 1.01 -0.5 Y 1.96 5.393 0.005 5655 5 0.30
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:52:43.650 a0134.fits TT_Aql B 6.000 1.35 -0.2 Y 1.93 5.68 0.006 3109 3 0.56
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:53:27.055 a0135.fits TT_Aql B 6.000 1.35 -0.2 Y 1.95 5.659 0.006 3823 2 0.55
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:54:23.650 a0136.fits TT_Aql V 3.000 1.35 -0.1 Y 1.89 5.138 0.005 4369 5 0.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:55:37.150 a0137.fits TT_Aql V 3.000 1.35 -0.1 Y 1.73 5.149 0.005 4650 5 0.61
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:57:35.650 a0138.fits R_Aql B 10.000 1.23 -0.1 Y 1.93 4.874 0.004 8541 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:57:56.900 a0139.fits R_Aql B 10.000 1.23 -0.1 Y 1.86 4.878 0.004 9663 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:58:18.210 a0140.fits R_Aql B 10.000 1.23 -0.0 Y 1.86 4.886 0.004 8449 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:58:39.270 a0141.fits R_Aql B 10.000 1.23 -0.0 Y 1.95 4.883 0.004 9452 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:59:00.960 a0142.fits R_Aql B 10.000 1.23 -0.0 Y 1.91 4.847 0.004 9313 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:59:21.840 a0143.fits R_Aql B 10.000 1.23 -0.0 Y 2.03 4.865 0.004 7828 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 00:59:43.770 a0144.fits R_Aql B 10.000 1.23 -0.0 Y 1.96 4.853 0.004 8611 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:00:05.020 a0145.fits R_Aql B 10.000 1.23 -0.0 Y 1.88 4.816 0.004 10417 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:00:26.400 a0146.fits R_Aql B 10.000 1.23 -0.0 Y 1.88 4.872 0.004 9180 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:00:47.210 a0147.fits R_Aql B 10.000 1.23 -0.0 Y 2.03 4.876 0.004 8800 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:01:17.990 a0148.fits R_Aql V 5.000 1.23 0.0 Y 2.02 4.257 0.003 11099 2 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:01:50.865 a0149.fits R_Aql V 5.000 1.23 0.0 Y 2.00 4.271 0.003 14024 2 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:03:33.050 a0150.fits R_Aql V 5.000 1.23 0.0 Y 1.83 4.279 0.003 10950 2 0.49

images 151 to 200

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:04:29.210 a0151.fits R_Aql V 5.000 1.23 0.1 Y 1.84 4.262 0.003 12657 2 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:05:01.900 a0152.fits R_Aql V 5.000 1.23 0.1 Y 2.04 4.256 0.003 13353 2 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:06:23.150 a0153.fits R_Aql R 1.700 1.23 0.1 Y 1.92 4.094 0.003 14914 10 0.54
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:08:26.900 a0154.fits R_Aql I 1.000 1.23 0.1 Y 1.71 3.871 0.003 17828 10 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:11:51.270 a0155.fits SS_Cyg V 15.000 1.12 -2.4 Y 2.20 7.662 0.019 583 0.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:12:17.590 a0156.fits SS_Cyg V 15.000 1.12 -2.4 Y 1.88 7.67 0.019 762 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:12:43.710 a0157.fits SS_Cyg V 27.470 1.11 -2.4 Y 2.05 7.017 0.014 1583 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:13:22.590 a0158.fits SS_Cyg V 27.470 1.11 -2.4 Y 1.94 7.027 0.014 1607 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:14:03.900 a0159.fits SS_Cyg R 15.000 1.11 -2.4 Y 1.86 7.48 0.017 1103 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:14:30.960 a0160.fits SS_Cyg R 15.000 1.11 -2.4 Y 1.82 7.427 0.017 1026 0.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:14:57.220 a0161.fits SS_Cyg R 35.510 1.11 -2.4 Y 1.98 6.455 0.01 2805 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:15:43.840 a0162.fits SS_Cyg R 35.510 1.11 -2.4 Y 1.99 6.47 0.01 2284 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:19:01.210 a0163.fits CH_Cyg B 10.000 1.01 -0.0 Y 1.65 5.699 0.006 4468 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:19:23.280 a0164.fits CH_Cyg B 10.000 1.01 0.0 Y 1.65 5.686 0.006 5728 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:20:37.460 a0165.fits CH_Cyg B 10.000 1.01 0.0 Y 1.70 5.71 0.006 4719 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:22:16.340 a0166.fits CH_Cyg V 3.980 1.01 0.0 Y 1.56 5.411 0.005 4820 5 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:24:30.710 a0167.fits WZ_Dra B 30.000 1.11 2.5 Y 1.79 9.145 0.054 205 0.41
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:25:12.770 a0168.fits WZ_Dra B 30.000 1.11 2.5 Y 1.81 9.131 0.054 216 0.41
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:25:56.840 a0169.fits WZ_Dra V 20.000 1.12 2.5 Y 1.78 8.004 0.024 656 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:26:27.900 a0170.fits WZ_Dra V 20.000 1.12 2.5 Y 1.78 7.98 0.023 664 0.39
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:27:27.525 a0171.fits WZ_Dra R 2.000 1.12 2.5 Y 1.57 8.6 0.026 353 5 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:28:34.650 a0172.fits WZ_Dra R 2.000 1.12 2.6 Y 1.61 8.587 0.025 336 5 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:30:11.680 a0173.fits WZ_Dra I 1.000 1.12 2.6 Y 1.61 8.308 0.021 418 10 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:32:49.400 a0174.fits S_Lyr B 20.000 1.05 0.4 Y 1.81 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:33:21.960 a0175.fits S_Lyr B 20.000 1.05 0.4 Y 1.88 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:33:53.910 a0176.fits S_Lyr B 20.000 1.05 0.4 Y 1.88 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:34:26.270 a0177.fits S_Lyr B 20.000 1.05 0.4 Y 1.79 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:34:57.960 a0178.fits S_Lyr B 20.000 1.05 0.5 Y 1.87 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:35:30.150 a0179.fits S_Lyr B 20.000 1.05 0.5 Y 1.86 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:36:02.520 a0180.fits S_Lyr B 20.000 1.05 0.5 Y 1.88 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:36:35.090 a0181.fits S_Lyr B 20.000 1.05 0.5 Y 1.91 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:37:08.280 a0182.fits S_Lyr B 20.000 1.05 0.5 Y 1.84 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:37:39.840 a0183.fits S_Lyr B 20.000 1.05 0.5 Y 1.87 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:38:13.590 a0184.fits S_Lyr V 10.000 1.05 0.5 Y 1.61 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:38:35.090 a0185.fits S_Lyr V 10.000 1.05 0.5 Y 1.79 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:38:56.340 a0186.fits S_Lyr V 10.000 1.05 0.5 Y 1.70 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:39:17.900 a0187.fits S_Lyr V 10.000 1.05 0.5 Y 1.69 0.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:39:40.030 a0188.fits S_Lyr V 10.000 1.05 0.5 Y 1.78 0.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:40:01.780 a0189.fits S_Lyr V 10.000 1.05 0.5 Y 1.79 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:40:23.650 a0190.fits S_Lyr V 10.000 1.05 0.5 Y 1.88 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:40:45.210 a0191.fits S_Lyr V 10.000 1.05 0.6 Y 1.85 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:41:07.090 a0192.fits S_Lyr V 10.000 1.06 0.6 Y 1.85 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:41:28.340 a0193.fits S_Lyr V 10.000 1.06 0.6 Y 1.83 0.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:42:22.120 a0194.fits S_Lyr R 3.300 1.06 0.6 Y 1.68 10.539 0.085 52 5 0.54
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:43:39.120 a0195.fits S_Lyr R 3.300 1.06 0.6 Y 1.79 10.501 0.084 47 5 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:44:53.960 a0196.fits S_Lyr I 2.000 1.06 0.6 Y 1.63 10.004 0.057 66 5 0.54
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:46:01.775 a0197.fits S_Lyr I 2.000 1.06 0.6 Y 1.53 10.012 0.057 77 5 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:49:01.190 a0198.fits SS_Cyg V 15.000 1.06 -1.8 Y 1.88 7.772 0.022 730 0.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:49:28.130 a0199.fits SS_Cyg V 15.000 1.06 -1.8 Y 1.94 7.797 0.022 807 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:49:54.750 a0200.fits SS_Cyg V 27.470 1.06 -1.8 Y 1.92 7.11 0.015 1183 0.42

images 201 to 250

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:50:33.320 a0201.fits SS_Cyg V 27.470 1.06 -1.8 Y 1.88 7.228 0.017 1425 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:51:13.130 a0202.fits SS_Cyg R 15.000 1.06 -1.8 Y 1.74 7.454 0.018 1052 0.41
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:51:39 a0203.fits SS_Cyg R 15.000 1.06 -1.8 Y 1.77 7.461 0.018 889 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:52:05.440 a0204.fits SS_Cyg R 35.510 1.06 -1.8 Y 1.93 6.48 0.011 2218 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:52:52.630 a0205.fits SS_Cyg R 35.510 1.06 -1.7 Y 1.94 6.483 0.011 2620 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:55:10.130 a0206.fits NGC_7790 B 100.000 1.28 -4.0 Y 2.05 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:57:01.690 a0207.fits NGC_7790 B 100.000 1.28 -3.9 Y 2.11 0.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 01:58:53.060 a0208.fits NGC_7790 B 100.000 1.27 -3.9 Y 2.03 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:00:45.190 a0209.fits NGC_7790 B 100.000 1.27 -3.9 Y 2.13 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:02:39.190 a0210.fits NGC_7790 V 60.000 1.26 -3.8 Y 2.09 0.41
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:03:50.320 a0211.fits NGC_7790 V 60.000 1.26 -3.8 Y 2.14 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:05:01.820 a0212.fits NGC_7790 V 60.000 1.26 -3.8 Y 2.15 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:06:13.690 a0213.fits NGC_7790 V 60.000 1.26 -3.8 Y 2.09 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:07:27.130 a0214.fits NGC_7790 R 45.000 1.26 -3.8 Y 2.10 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:08:23.690 a0215.fits NGC_7790 R 45.000 1.25 -3.7 Y 2.12 0.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:09:19.880 a0216.fits NGC_7790 R 45.000 1.25 -3.7 Y 2.08 0.36
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:10:17.250 a0217.fits NGC_7790 R 45.000 1.25 -3.7 Y 2.10 0.36
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:11:15.810 a0218.fits NGC_7790 I 30.000 1.25 -3.7 Y 2.12 0.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:11:56.820 a0219.fits NGC_7790 I 30.000 1.25 -3.7 Y 2.09 0.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:12:38.250 a0220.fits NGC_7790 I 30.000 1.25 -3.7 Y 2.11 0.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:13:19.130 a0221.fits NGC_7790 I 30.000 1.24 -3.7 Y 2.03 0.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:15:21.690 a0222.fits SS_Cyg V 15.000 1.04 -1.4 Y 1.83 7.768 0.022 797 0.39
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:15:47.880 a0223.fits SS_Cyg V 15.000 1.04 -1.4 Y 1.81 7.716 0.021 742 0.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:16:14.820 a0224.fits SS_Cyg V 27.470 1.03 -1.3 Y 1.87 7.034 0.015 1498 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:16:53.820 a0225.fits SS_Cyg V 27.470 1.03 -1.3 Y 1.84 7.057 0.015 1452 0.39
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:17:35.010 a0226.fits SS_Cyg R 15.000 1.03 -1.3 Y 1.83 7.451 0.018 1033 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:18:01.560 a0227.fits SS_Cyg R 15.000 1.03 -1.3 Y 1.86 7.454 0.019 910 0.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:18:28.060 a0228.fits SS_Cyg R 35.510 1.03 -1.3 Y 2.01 6.478 0.011 2020 0.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:19:14.540 a0229.fits SS_Cyg R 35.510 1.03 -1.3 Y 2.09 6.502 0.011 2416 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:21:34.850 a0230.fits WZ_Cas B 12.000 1.23 -3.6 Y 2.12 6.943 0.013 1389 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:21:59.050 a0231.fits WZ_Cas B 12.000 1.23 -3.6 Y 2.08 6.962 0.013 1484 0.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:22:23.290 a0232.fits WZ_Cas B 12.000 1.23 -3.6 Y 2.00 6.942 0.013 1450 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:22:47.350 a0233.fits WZ_Cas B 12.000 1.23 -3.5 Y 2.00 6.908 0.013 1473 0.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:23:11.290 a0234.fits WZ_Cas B 12.000 1.23 -3.5 Y 2.09 6.912 0.012 1214 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:23:35.480 a0235.fits WZ_Cas B 12.000 1.23 -3.5 Y 1.90 6.897 0.012 1539 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:23:59.790 a0236.fits WZ_Cas B 12.000 1.23 -3.5 Y 1.93 6.878 0.012 1514 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:24:24.160 a0237.fits WZ_Cas B 12.000 1.23 -3.5 Y 2.22 6.907 0.012 1303 0.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:24:48.170 a0238.fits WZ_Cas B 12.000 1.23 -3.5 Y 2.06 6.909 0.013 1690 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:25:12.160 a0239.fits WZ_Cas B 12.000 1.23 -3.5 Y 2.40 6.881 0.013 1122 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:25:46.975 a0240.fits WZ_Cas V 6.000 1.23 -3.5 Y 1.99 4.432 0.003 11326 2 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:26:22.885 a0241.fits WZ_Cas V 6.000 1.23 -3.5 Y 2.17 4.432 0.003 12237 2 0.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:26:57.790 a0242.fits WZ_Cas V 6.000 1.22 -3.5 Y 2.09 4.433 0.003 10534 2 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:27:33.355 a0243.fits WZ_Cas V 6.000 1.22 -3.5 Y 2.27 4.446 0.003 12913 2 0.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:28:08.850 a0244.fits WZ_Cas V 6.000 1.22 -3.5 Y 1.95 4.44 0.003 13998 2 0.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:28:59.290 a0245.fits WZ_Cas R 3.000 1.22 -3.5 Y 1.81 3.902 0.003 20605 4 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:29:59.945 a0246.fits WZ_Cas R 3.000 1.22 -3.4 Y 2.37 3.923 0.003 16844 4 0.41
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:31:00.480 a0247.fits WZ_Cas R 3.000 1.22 -3.4 Y 2.00 3.909 0.003 22130 4 0.41
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:32:01.225 a0248.fits WZ_Cas R 3.000 1.22 -3.4 Y 1.89 3.909 0.003 22892 4 0.41
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:33:02.110 a0249.fits WZ_Cas R 3.000 1.21 -3.4 Y 1.70 3.92 0.003 20851 4 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:34:03.475 a0250.fits WZ_Cas I 3.000 1.21 -3.4 Y 1.98 4.017 0.003 14244 4 0.40

images 251 to 300

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:35:02.695 a0251.fits WZ_Cas I 3.000 1.21 -3.3 Y 2.00 4.0 0.003 16545 4 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:36:02.760 a0252.fits WZ_Cas I 3.000 1.21 -3.3 Y 2.23 4.001 0.003 14855 4 0.39
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:37:03.105 a0253.fits WZ_Cas I 3.000 1.21 -3.3 Y 2.78 4.016 0.003 12799 4 0.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:38:03.540 a0254.fits WZ_Cas I 3.000 1.20 -3.3 Y 1.95 4.006 0.003 15876 4 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:39:55.730 a0255.fits AS_Cas B 180.000 1.24 -3.7 Y 2.56 6.705 0.018 1932 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:43:07.790 a0256.fits AS_Cas B 180.000 1.24 -3.6 Y 2.34 6.701 0.018 1960 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:46:18.980 a0257.fits AS_Cas B 180.000 1.23 -3.6 Y 2.36 6.724 0.019 1914 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:49:33.060 a0258.fits AS_Cas V 90.000 1.23 -3.5 Y 2.40 6.237 0.012 2508 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:51:15.180 a0259.fits AS_Cas V 90.000 1.23 -3.5 Y 2.24 6.215 0.011 2696 0.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:52:57.310 a0260.fits AS_Cas V 90.000 1.23 -3.5 Y 2.43 6.251 0.012 2596 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:54:40.180 a0261.fits AS_Cas R 90.000 1.22 -3.4 Y 2.43 5.68 0.008 4305 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:56:21.750 a0262.fits AS_Cas R 90.000 1.22 -3.4 Y 2.37 5.697 0.008 3862 0.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:58:03.060 a0263.fits AS_Cas R 90.000 1.22 -3.4 Y 2.35 5.742 0.008 4126 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 02:59:46.180 a0264.fits AS_Cas I 90.000 1.21 -3.3 Y 2.45 6.439 0.011 1791 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:01:27.500 a0265.fits AS_Cas I 90.000 1.21 -3.3 Y 2.50 6.433 0.011 1618 0.41
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:03:08.810 a0266.fits AS_Cas I 90.000 1.21 -3.3 Y 2.61 6.516 0.012 1659 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:06:06.440 a0267.fits HD_5501 B 20.000 1.26 -3.8 Y 2.22 4.921 0.005 7154 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:06:40.260 a0268.fits HD_5501 V 10.000 1.26 -3.8 Y 2.09 5.35 0.006 4521 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:07:02.810 a0269.fits HD_5501 R 10.000 1.26 -3.7 Y 2.27 5.252 0.005 4509 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:07:25.180 a0270.fits HD_5501 I 15.000 1.25 -3.7 Y 2.50 6.059 0.008 2038 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:08:06.810 a0271.fits HD_5501 B 20.000 1.25 -3.7 Y 2.36 4.902 0.004 7370 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:08:40.250 a0272.fits HD_5501 V 10.000 1.25 -3.7 Y 2.24 5.266 0.005 5852 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:09:03.750 a0273.fits HD_5501 R 10.000 1.25 -3.7 Y 2.18 5.196 0.005 5738 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:09:26.560 a0274.fits HD_5501 I 15.000 1.25 -3.7 Y 2.39 5.992 0.007 2671 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:10:08.810 a0275.fits HD_5501 B 20.000 1.25 -3.7 Y 2.12 4.939 0.005 7663 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:10:41.750 a0276.fits HD_5501 V 10.000 1.25 -3.7 Y 2.13 5.369 0.006 5544 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:11:04 a0277.fits HD_5501 R 10.000 1.25 -3.7 Y 2.02 5.377 0.006 5912 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:11:26.430 a0278.fits HD_5501 I 15.000 1.25 -3.7 Y 2.20 6.164 0.008 2773 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:16:49.250 a0279.fits NGC457 SU 300.000 1.27 -3.9 Y 4.02 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:22:00.620 a0280.fits NGC457 SU 300.000 1.26 -3.9 Y 3.78 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:27:10.810 a0281.fits NGC457 SU 300.000 1.25 -3.8 Y 3.58 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:32:24.060 a0282.fits NGC457 SG 120.000 1.25 -3.7 Y 2.58 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:34:34.310 a0283.fits NGC457 SG 120.000 1.24 -3.7 Y 2.56 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:36:45.370 a0284.fits NGC457 SG 120.000 1.24 -3.6 Y 2.54 0.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:38:58.060 a0285.fits NGC457 SR 120.000 1.23 -3.6 Y 2.39 0.36
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:41:09.430 a0286.fits NGC457 SR 120.000 1.23 -3.5 Y 2.27 0.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:43:19.870 a0287.fits NGC457 SR 120.000 1.22 -3.5 Y 2.38 0.34
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:45:32.690 a0288.fits NGC457 SI 120.000 1.22 -3.5 Y 2.47 0.32
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:47:44 a0289.fits NGC457 SI 120.000 1.21 -3.4 Y 2.44 0.31
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:49:54.450 a0290.fits NGC457 SI 120.000 1.21 -3.4 Y 2.41 0.30
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 03:52:07.200 a0291.fits NGC457 ZS 120.000 1.21 -3.4 Y 2.41 0.27
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 04:31:27.180 a0292.fits NGC457 SU 300.000 1.14 -2.7 Y 4.60 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 04:36:38.680 a0293.fits NGC457 SU 300.000 1.13 -2.6 Y 4.52 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 04:41:49.180 a0294.fits NGC457 SU 300.000 1.12 -2.5 Y 4.26 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 04:47:03.300 a0295.fits NGC457 SG 120.000 1.12 -2.4 Y 2.90 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 04:49:13.530 a0296.fits NGC457 SG 120.000 1.12 -2.4 Y 2.91 0.41
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 04:51:24.850 a0297.fits NGC457 SG 120.000 1.12 -2.4 Y 2.90 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 04:53:36.970 a0298.fits NGC457 SR 120.000 1.11 -2.3 Y 2.63 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 04:55:47.160 a0299.fits NGC457 SR 120.000 1.11 -2.3 Y 2.78 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 04:57:58.910 a0300.fits NGC457 SR 120.000 1.11 -2.3 Y 2.71 0.39

images 301 to 350

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:00:10.660 a0301.fits NGC457 SI 120.000 1.11 -2.2 Y 2.79 0.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:02:21.220 a0302.fits NGC457 SI 120.000 1.10 -2.2 Y 2.84 0.36
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:04:32.590 a0303.fits NGC457 SI 120.000 1.10 -2.1 Y 2.92 0.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:06:45.970 a0304.fits NGC457 ZS 120.000 1.10 -2.1 Y 2.86 0.30
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:08:56.530 a0305.fits NGC457 ZS 120.000 1.10 -2.1 Y 2.76 0.30
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:11:07.340 a0306.fits NGC457 ZS 120.000 1.09 -2.0 Y 2.66 0.30
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:14:37.340 a0307.fits NGC_869 B 60.000 1.17 -3.0 Y 3.05 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:15:49.090 a0308.fits NGC_869 B 60.000 1.16 -3.0 Y 3.10 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:17:01.400 a0309.fits NGC_869 B 60.000 1.16 -2.9 Y 3.12 0.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:18:14.720 a0310.fits NGC_869 V 30.000 1.16 -2.9 Y 2.67 0.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:18:55.690 a0311.fits NGC_869 V 30.000 1.16 -2.9 Y 2.74 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:19:37.570 a0312.fits NGC_869 V 30.000 1.16 -2.9 Y 2.79 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:20:21.880 a0313.fits NGC_869 I 30.000 1.16 -2.9 Y 2.68 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:21:03.250 a0314.fits NGC_869 I 30.000 1.16 -2.9 Y 2.67 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:21:44.380 a0315.fits NGC_869 I 30.000 1.16 -2.9 Y 2.72 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:23:43.630 a0316.fits GK_Per V 10.000 1.37 -4.0 Y 2.66 9.706 0.135 203 0.89
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:26:40.130 a0317.fits TX_Psc B 8.000 1.31 -0.2 Y 2.07 4.436 0.003 9947 3 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:27:55.910 a0318.fits TX_Psc V 1.460 1.31 -0.2 Y 1.76 3.686 0.002 23816 7 0.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:30:37.255 a0319.fits TX_Psc R 0.520 1.31 -0.2 Y 1.77 3.692 0.002 20120 20 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:33:26.355 a0320.fits TX_Psc I 1.170 1.31 -0.1 Y 1.68 3.399 0.002 24242 9 0.57
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:36:18.910 a0321.fits 6_Cas SU 2.250 1.06 -0.1 Y 2.93 7.693 0.016 384 6 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:37:54.005 a0322.fits 6_Cas B 1.500 1.06 -0.1 Y 2.27 4.915 0.004 5612 10 0.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:41:01.535 a0323.fits 6_Cas V 0.750 1.06 -0.1 Y 1.99 4.849 0.004 6746 20 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:46:31.630 a0324.fits 6_Cas I 0.530 1.06 0.0 Y 2.06 6.187 0.008 2111 30 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:51:22.630 a0325.fits V0347_Lac B 60.000 1.05 1.6 Y 2.56 7.849 0.036 774 0.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:52:34.890 a0326.fits V0347_Lac B 60.000 1.05 1.6 Y 2.51 7.82 0.035 819 0.34
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:53:46.250 a0327.fits V0347_Lac B 60.000 1.05 1.6 Y 2.59 7.818 0.032 669 0.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:54:59.880 a0328.fits V0347_Lac V 30.000 1.05 1.7 Y 2.53 7.613 0.025 714 0.33
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:55:41.690 a0329.fits V0347_Lac V 30.000 1.05 1.7 Y 2.35 7.611 0.025 727 0.33
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:56:23.690 a0330.fits V0347_Lac V 30.000 1.05 1.7 Y 2.65 7.63 0.025 691 0.33
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:57:06.690 a0331.fits V0347_Lac I 30.000 1.05 1.7 Y 2.43 8.3 0.032 350 0.33
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:57:47.940 a0332.fits V0347_Lac I 30.000 1.06 1.7 Y 2.29 8.296 0.034 427 0.30
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 05:58:29.950 a0333.fits V0347_Lac I 30.000 1.06 1.7 Y 2.63 8.299 0.033 308 0.31
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 06:02:09.880 a0334.fits V0730_Cep B 300.000 1.06 1.2 Y 2.69 8.302 0.138 1663 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 06:07:22.630 a0335.fits V0730_Cep B 300.000 1.06 1.3 Y 2.75 8.316 0.124 1601 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 06:12:36.070 a0336.fits V0730_Cep V 240.000 1.07 1.4 Y 2.50 7.312 0.075 2028 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 06:16:48.010 a0337.fits V0730_Cep V 240.000 1.07 1.5 Y 2.43 7.31 0.072 2203 0.55
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 06:21:01.930 a0338.fits V0730_Cep R 240.000 1.07 1.6 Y 2.41 6.884 0.047 2445 0.60
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 06:25:14.230 a0339.fits V0730_Cep R 240.000 1.08 1.6 Y 2.53 6.942 0.047 2451 0.65
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 07:42:22.400 a0340.fits NGC_869 B 60.000 1.03 -0.5 Y 3.04 0.29
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 07:43:34.090 a0341.fits NGC_869 B 60.000 1.03 -0.5 Y 3.02 0.28
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 07:44:45.530 a0342.fits NGC_869 B 60.000 1.03 -0.5 Y 3.05 0.28
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 07:45:58.840 a0343.fits NGC_869 V 30.000 1.03 -0.4 Y 2.74 0.26
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 07:46:40.470 a0344.fits NGC_869 V 30.000 1.03 -0.4 Y 2.70 0.24
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 07:47:21.280 a0345.fits NGC_869 V 30.000 1.03 -0.4 Y 2.85 0.25
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 07:48:05.410 a0346.fits NGC_869 I 30.000 1.03 -0.4 Y 2.65 0.26
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 07:48:46.710 a0347.fits NGC_869 I 30.000 1.03 -0.4 Y 2.73 0.25
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 07:49:28.780 a0348.fits NGC_869 I 30.000 1.03 -0.4 Y 2.63 0.24
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 07:52:45.090 a0349.fits AS_Cas B 180.000 1.10 1.6 Y 2.84 7.775 0.056 1532 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 07:55:57.660 a0350.fits AS_Cas B 180.000 1.10 1.6 Y 2.57 7.823 0.063 1637 0.44

images 351 to 397

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 07:59:09.660 a0351.fits AS_Cas B 180.000 1.11 1.7 Y 2.42 7.669 0.054 1654 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:02:22.840 a0352.fits AS_Cas V 90.000 1.11 1.7 Y 2.32 7.474 0.042 1683 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:04:04.780 a0353.fits AS_Cas V 90.000 1.11 1.7 Y 2.28 7.641 0.05 1628 0.36
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:05:46.030 a0354.fits AS_Cas V 90.000 1.11 1.8 Y 2.21 7.542 0.045 1589 0.34
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:07:29.600 a0355.fits AS_Cas R 90.000 1.11 1.8 Y 2.43 6.242 0.014 3065 0.34
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:09:11.780 a0356.fits AS_Cas R 90.000 1.11 1.8 Y 2.54 5.941 0.01 2903 0.32
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:10:53.030 a0357.fits AS_Cas R 90.000 1.11 1.9 Y 2.53 5.895 0.01 3311 0.30
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:12:35.910 a0358.fits AS_Cas I 90.000 1.11 1.9 Y 2.33 6.742 0.015 1479 0.30
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:14:17.720 a0359.fits AS_Cas I 90.000 1.12 1.9 Y 2.39 6.619 0.013 1723 0.29
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:15:59.600 a0360.fits AS_Cas I 90.000 1.12 1.9 Y 2.38 6.576 0.012 1682 0.28
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:19:47.390 a0361.fits AX_Aur B 120.000 1.33 -3.3 Y 2.69 8.287 0.082 1213 0.80
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:22:01.200 a0362.fits AX_Aur V 60.000 1.32 -3.3 Y 2.74 7.584 0.038 1094 0.77
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:23:14.760 a0363.fits AX_Aur I 60.000 1.32 -3.3 Y 2.46 7.705 0.028 789 0.77
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:26:51.580 a0364.fits rho_Cas SU 2.250 1.13 2.6 8.77 0.027 155 6
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:28:24.445 a0365.fits rho_Cas B 1.500 1.13 2.7 Y 1.78 4.951 0.004 6134 10 0.81
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:31:30.290 a0366.fits rho_Cas V 0.750 1.14 2.7 Y 2.16 4.25 0.003 12362 20 0.78
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:36:33.290 a0367.fits rho_Cas I 0.530 1.14 2.8 Y 1.80 4.829 0.004 5835 30 0.71
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:41:02.270 a0368.fits NGC_869 B 60.000 1.03 0.5 Y 2.24 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:42:14.200 a0369.fits NGC_869 B 60.000 1.03 0.5 Y 2.08 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:43:26.130 a0370.fits NGC_869 B 60.000 1.03 0.5 Y 2.23 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:44:39.380 a0371.fits NGC_869 V 30.000 1.03 0.5 Y 2.14 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:45:20.760 a0372.fits NGC_869 V 30.000 1.03 0.6 Y 2.02 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:46:02.760 a0373.fits NGC_869 V 30.000 1.03 0.6 Y 2.43 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:46:47.010 a0374.fits NGC_869 I 30.000 1.03 0.6 Y 2.09 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:47:28.510 a0375.fits NGC_869 I 30.000 1.03 0.6 Y 2.13 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:48:10.320 a0376.fits NGC_869 I 30.000 1.03 0.6 Y 2.02 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:50:17.650 a0377.fits T_Cas B 10.000 1.12 2.6 Y 2.16 8.932 0.056 225 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:50:39.590 a0378.fits T_Cas B 10.000 1.12 2.6 Y 2.32 8.894 0.054 227 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:51:17.710 a0379.fits T_Cas V 5.000 1.12 2.6 Y 1.88 7.85 0.019 584 3 0.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:52:47.650 a0380.fits T_Cas R 1.600 1.12 2.6 Y 1.77 6.743 0.01 1161 10 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:54:53.400 a0381.fits T_Cas I 1.000 1.13 2.6 Y 1.61 5.875 0.007 2807 10 0.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:57:16.340 a0382.fits W_Cas B 60.000 1.10 2.2 Y 2.57 0.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:58:27.830 a0383.fits W_Cas B 60.000 1.10 2.2 Y 2.47 0.40
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-09-04 08:59:40.900 a0384.fits W_Cas V 20.000 1.10 2.2 Y 2.45 7.556 0.025 735 0.40