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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 230421 (yymmdd)

Run at 04/22/2023 16:25:36 EDT

Warnings and Errors

INFO 332 total images for bsm_nh2 on 230421
WARNING 1 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

View images
Filters used this night B,I,R,V
datenite imagetyp filename set_temp filter binning exptime storage_loc Age(d) Active
221115 bias bsm_nh2/bsm_nh2b/calibration/221115/bias_temp-25_bin2.fits -25.0 None 2 None s3 158 Y
221115 dark bsm_nh2/bsm_nh2b/calibration/221115/dark_1.0sec_temp-25_bin2.fits -25.0 None 2 1.00 s3 158 Y
221115 dark bsm_nh2/bsm_nh2b/calibration/221115/dark_3.0sec_temp-25_bin2.fits -25.0 None 2 3.00 s3 158 Y
221115 dark bsm_nh2/bsm_nh2b/calibration/221115/dark_10.0sec_temp-25_bin2.fits -25.0 None 2 10.00 s3 158 Y
221115 dark bsm_nh2/bsm_nh2b/calibration/221115/dark_30.0sec_temp-25_bin2.fits -25.0 None 2 30.00 s3 158 Y
221115 dark bsm_nh2/bsm_nh2b/calibration/221115/dark_100.0sec_temp-25_bin2.fits -25.0 None 2 100.00 s3 158 Y
221115 dark bsm_nh2/bsm_nh2b/calibration/221115/dark_300.0sec_temp-25_bin2.fits -25.0 None 2 300.00 s3 158 Y
230420 flat bsm_nh2/bsm_nh2b/calibration/230420/flatB_bin2.fits NaN B 2 None fs 2 Y
230420 flat bsm_nh2/bsm_nh2b/calibration/230420/flatI_bin2.fits NaN I 2 None fs 2 Y
230420 flat bsm_nh2/bsm_nh2b/calibration/230420/flatR_bin2.fits NaN R 2 None fs 2 Y
230420 flat bsm_nh2/bsm_nh2b/calibration/230420/flatV_bin2.fits NaN V 2 None fs 2 Y
220627 bias bsm_nh2/bsm_nh2b/calibration/220627/bias_temp-15_bin2.fits -15.0 None 2 None s3 299
220105 bias bsm_nh2/bsm_nh2b/calibration/220105/bias_temp-30_bin2.fits -30.0 None 2 None s3 472
211016 bias bsm_nh2/bsm_nh2b/calibration/211016/bias_temp-20_bin2.fits -20.0 None 2 None s3 553
210412 bias bsm_nh2/bsm_nh2b/calibration/210412/bias_temp-10_bin2.fits -10.0 None 2 None s3 740
220627 dark bsm_nh2/bsm_nh2b/calibration/220627/dark_1.0sec_temp-15_bin2.fits -15.0 None 2 1.00 s3 299
220627 dark bsm_nh2/bsm_nh2b/calibration/220627/dark_3.0sec_temp-15_bin2.fits -15.0 None 2 3.00 s3 299
220627 dark bsm_nh2/bsm_nh2b/calibration/220627/dark_10.0sec_temp-15_bin2.fits -15.0 None 2 10.00 s3 299
220627 dark bsm_nh2/bsm_nh2b/calibration/220627/dark_30.0sec_temp-15_bin2.fits -15.0 None 2 30.00 s3 299
220627 dark bsm_nh2/bsm_nh2b/calibration/220627/dark_100.0sec_temp-15_bin2.fits -15.0 None 2 100.00 s3 299
220627 dark bsm_nh2/bsm_nh2b/calibration/220627/dark_300.0sec_temp-15_bin2.fits -15.0 None 2 300.00 s3 299
220105 dark bsm_nh2/bsm_nh2b/calibration/220105/dark_1.0sec_temp-30_bin2.fits -30.0 None 2 1.00 s3 472
220105 dark bsm_nh2/bsm_nh2b/calibration/220105/dark_3.0sec_temp-30_bin2.fits -30.0 None 2 3.00 s3 472
220105 dark bsm_nh2/bsm_nh2b/calibration/220105/dark_10.0sec_temp-30_bin2.fits -30.0 None 2 10.00 s3 472
220105 dark bsm_nh2/bsm_nh2b/calibration/220105/dark_30.0sec_temp-30_bin2.fits -30.0 None 2 30.00 s3 472
220105 dark bsm_nh2/bsm_nh2b/calibration/220105/dark_100.0sec_temp-30_bin2.fits -30.0 None 2 100.00 s3 472
220105 dark bsm_nh2/bsm_nh2b/calibration/220105/dark_300.0sec_temp-30_bin2.fits -30.0 None 2 300.00 s3 472
211016 dark bsm_nh2/bsm_nh2b/calibration/211016/dark_1.0sec_temp-20_bin2.fits -20.0 None 2 1.00 s3 553
211016 dark bsm_nh2/bsm_nh2b/calibration/211016/dark_3.0sec_temp-20_bin2.fits -20.0 None 2 3.00 s3 553
211016 dark bsm_nh2/bsm_nh2b/calibration/211016/dark_10.0sec_temp-20_bin2.fits -20.0 None 2 10.00 s3 553
211016 dark bsm_nh2/bsm_nh2b/calibration/211016/dark_30.0sec_temp-20_bin2.fits -20.0 None 2 30.00 s3 553
211016 dark bsm_nh2/bsm_nh2b/calibration/211016/dark_100.0sec_temp-20_bin2.fits -20.0 None 2 100.00 s3 553
211016 dark bsm_nh2/bsm_nh2b/calibration/211016/dark_300.0sec_temp-20_bin2.fits -20.0 None 2 300.00 s3 553
210412 dark bsm_nh2/bsm_nh2b/calibration/210412/dark_1.0sec_temp-10_bin2.fits -10.0 None 2 1.00 s3 740
210412 dark bsm_nh2/bsm_nh2b/calibration/210412/dark_3.0sec_temp-10_bin2.fits -10.0 None 2 3.00 s3 740
210412 dark bsm_nh2/bsm_nh2b/calibration/210412/dark_10.0sec_temp-10_bin2.fits -10.0 None 2 10.00 s3 740
210412 dark bsm_nh2/bsm_nh2b/calibration/210412/dark_30.0sec_temp-10_bin2.fits -10.0 None 2 30.00 s3 740
210412 dark bsm_nh2/bsm_nh2b/calibration/210412/dark_100.0sec_temp-10_bin2.fits -10.0 None 2 100.00 s3 740
210412 dark bsm_nh2/bsm_nh2b/calibration/210412/dark_300.0sec_temp-10_bin2.fits -10.0 None 2 300.00 s3 740
230420 flat bsm_nh2/bsm_nh2b/calibration/230420/flatBdiff_bin2.fits NaN Bdiff 2 None fs 2
230420 flat bsm_nh2/bsm_nh2b/calibration/230420/flatIdiff_bin2.fits NaN Idiff 2 None fs 2
230420 flat bsm_nh2/bsm_nh2b/calibration/230420/flatSG_bin2.fits NaN SG 2 None fs 2
230420 flat bsm_nh2/bsm_nh2b/calibration/230420/flatSI_bin2.fits NaN SI 2 None fs 2
230420 flat bsm_nh2/bsm_nh2b/calibration/230420/flatSR_bin2.fits NaN SR 2 None fs 2
230420 flat bsm_nh2/bsm_nh2b/calibration/230420/flatSU_bin2.fits NaN SU 2 None fs 2
230420 flat bsm_nh2/bsm_nh2b/calibration/230420/flatVdiff_bin2.fits NaN Vdiff 2 None fs 2
230420 flat bsm_nh2/bsm_nh2b/calibration/230420/flatZS_bin2.fits NaN ZS 2 None fs 2
230408 flat bsm_nh2/bsm_nh2b/calibration/230408/flatHA_bin2.fits NaN HA 2 None fs 14
220422 flat bsm_nh2/bsm_nh2b/calibration/220422/flatVnd09_bin2.fits NaN Vnd09 2 None s3 365
210125 flat bsm_nh2/bsm_nh2b/calibration/210125/flatBnd09_bin2.fits NaN Bnd09 2 None s3 817
210125 flat bsm_nh2/bsm_nh2b/calibration/210125/flatInd09_bin2.fits NaN Ind09 2 None s3 817
210125 flat bsm_nh2/bsm_nh2b/calibration/210125/flatRnd09_bin2.fits NaN Rnd09 2 None s3 817
210125 flat bsm_nh2/bsm_nh2b/calibration/210125/flatSGnd09_bin2.fits NaN SGnd09 2 None s3 817
210125 flat bsm_nh2/bsm_nh2b/calibration/210125/flatSInd09_bin2.fits NaN SInd09 2 None s3 817
210125 flat bsm_nh2/bsm_nh2b/calibration/210125/flatSRnd09_bin2.fits NaN SRnd09 2 None s3 817
200506 flat bsm_nh2/bsm_nh2b/calibration/200506/FlatGR.fits -25.0 GR 2 0.20 s3 1081

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
2023-04-22 05:48:25.480 AAVSO_ P224_ RBCA_ AUTO RS_Oph B 10.000 2.23 2.52 9.369 0.059 96

Images by Target Object

AE_UMa
RS_Oph
R_CrB
Tet_CrB
V0338_Boo
V1117_Her
V_CVn

AE_UMa

AUID 000-BCX-409

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-04-22 00:32:09.890 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.00 0.1 a0101.fits Y 2.36 5.309 0.008 5992
2023-04-22 00:33:37.270 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.2 a0102.fits Y 1.91 5.940 0.009 4384
2023-04-22 00:34:18.820 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.2 a0103.fits Y 2.10 5.940 0.009 3857
2023-04-22 00:35:00.820 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.2 a0104.fits Y 2.09 5.953 0.008 3254
2023-04-22 00:35:41.510 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.2 a0105.fits Y 2.16 5.981 0.009 3173
2023-04-22 00:36:22.140 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.2 a0106.fits Y 2.17 6.001 0.009 3004
2023-04-22 00:37:03.140 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.2 a0107.fits Y 2.21 5.987 0.008 3096
2023-04-22 00:37:43.950 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.2 a0108.fits Y 2.26 6.007 0.008 2898
2023-04-22 00:38:25.820 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.2 a0109.fits Y 2.10 5.980 0.008 3579
2023-04-22 00:39:06.570 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.3 a0110.fits Y 2.13 5.997 0.008 3356
2023-04-22 00:39:47.450 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.3 a0111.fits Y 2.16 6.020 0.008 3275
2023-04-22 00:40:42.200 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.00 0.3 a0112.fits Y 2.39 5.436 0.007 4125
2023-04-22 00:41:54.510 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.3 a0113.fits Y 2.00 6.008 0.008 3309
2023-04-22 00:42:35.450 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.3 a0114.fits Y 2.07 6.041 0.008 3421
2023-04-22 00:43:16.450 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.3 a0115.fits Y 2.10 6.040 0.008 3366
2023-04-22 00:43:57.510 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.3 a0116.fits Y 2.00 6.052 0.008 3153
2023-04-22 00:44:39.510 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.3 a0117.fits Y 2.04 6.039 0.008 3439
2023-04-22 00:45:20.630 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.4 a0118.fits Y 2.04 6.017 0.008 3466
2023-04-22 00:46:01.510 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.4 a0119.fits Y 2.11 6.023 0.008 2947
2023-04-22 00:46:43.070 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.4 a0120.fits Y 2.09 6.015 0.008 2860
2023-04-22 00:47:24.450 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.4 a0121.fits Y 2.13 6.022 0.008 2939
2023-04-22 00:48:05.510 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.4 a0122.fits Y 2.07 6.032 0.008 3692
2023-04-22 00:48:59.640 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.00 0.4 a0123.fits Y 2.40 5.496 0.006 3780
2023-04-22 00:50:12.570 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.4 a0124.fits Y 2.20 6.048 0.008 2549
2023-04-22 00:50:53.390 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.5 a0125.fits Y 2.10 6.056 0.008 2490
2023-04-22 00:51:34.320 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.5 a0126.fits Y 2.15 6.064 0.008 3002
2023-04-22 00:52:15.200 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.5 a0127.fits Y 2.10 6.074 0.008 3149
2023-04-22 00:52:56.390 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.5 a0128.fits Y 2.09 6.063 0.008 3207
2023-04-22 00:53:37.260 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.5 a0129.fits Y 2.07 6.078 0.008 3060
2023-04-22 00:54:18.070 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.5 a0130.fits Y 2.04 6.077 0.008 3191
2023-04-22 00:54:59.580 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.5 a0131.fits Y 1.96 6.091 0.008 2994
2023-04-22 00:55:40.310 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.00 0.5 a0132.fits Y 2.02 6.088 0.008 3019
2023-04-22 00:56:21.250 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.5 a0133.fits Y 1.95 6.076 0.008 3387
2023-04-22 00:57:16.370 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.01 0.6 a0134.fits Y 2.47 5.576 0.006 3874
2023-04-22 00:58:29.500 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.6 a0135.fits Y 2.05 6.101 0.008 2847
2023-04-22 00:59:10.060 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.6 a0136.fits Y 2.12 6.120 0.008 2720
2023-04-22 00:59:52.180 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.6 a0137.fits Y 2.02 6.116 0.008 3138
2023-04-22 01:00:33.000 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.6 a0138.fits Y 1.97 6.123 0.008 3484
2023-04-22 01:01:14.060 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.6 a0139.fits Y 2.03 6.128 0.008 2775
2023-04-22 01:01:54.930 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.6 a0140.fits Y 2.02 6.120 0.008 2999
2023-04-22 01:02:36.120 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.6 a0141.fits Y 1.97 6.123 0.008 2988
2023-04-22 01:03:17.180 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.7 a0142.fits Y 1.98 6.136 0.008 3046
2023-04-22 01:03:58.260 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.7 a0143.fits Y 1.94 6.122 0.008 3112
2023-04-22 01:04:39.060 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.7 a0144.fits Y 1.90 6.151 0.008 3741
2023-04-22 01:05:34.500 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.01 0.7 a0145.fits Y 2.21 5.598 0.006 3416
2023-04-22 01:06:47.060 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.7 a0146.fits Y 1.99 6.160 0.008 2718
2023-04-22 01:07:27.880 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.7 a0147.fits Y 1.91 6.164 0.008 3025
2023-04-22 01:08:09.060 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.7 a0148.fits Y 1.92 6.141 0.008 2755
2023-04-22 01:08:50.370 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.8 a0149.fits Y 1.86 6.153 0.008 3541
2023-04-22 01:09:31.310 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.8 a0150.fits Y 1.97 6.140 0.008 2746
2023-04-22 01:10:12.250 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.8 a0151.fits Y 2.09 6.139 0.008 2847
2023-04-22 01:10:53.310 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.8 a0152.fits Y 2.02 6.124 0.008 2723
2023-04-22 01:11:34.120 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.8 a0153.fits Y 2.09 6.145 0.008 2442
2023-04-22 01:12:15.680 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.8 a0154.fits Y 2.02 6.130 0.008 2703
2023-04-22 01:12:57.430 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.8 a0155.fits Y 1.96 6.135 0.008 3388
2023-04-22 01:13:52.190 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.01 0.8 a0156.fits Y 2.28 5.609 0.006 3510
2023-04-22 01:15:04.750 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.9 a0157.fits Y 1.93 6.145 0.008 3022
2023-04-22 01:15:46.620 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.9 a0158.fits Y 2.01 6.153 0.008 3106
2023-04-22 01:16:27.740 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.9 a0159.fits Y 2.00 6.146 0.008 3002
2023-04-22 01:17:09.500 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.9 a0160.fits Y 2.04 6.146 0.008 2879
2023-04-22 01:17:50.620 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.9 a0161.fits Y 2.09 6.152 0.008 2487
2023-04-22 01:18:32.120 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.01 0.9 a0162.fits Y 2.09 6.152 0.008 2379
2023-04-22 01:19:13.430 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 0.9 a0163.fits Y 2.07 6.169 0.008 2672
2023-04-22 01:19:54.180 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 0.9 a0164.fits Y 2.10 6.169 0.008 2966
2023-04-22 01:20:35.250 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 0.9 a0165.fits Y 2.12 6.165 0.008 2514
2023-04-22 01:21:16.560 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.0 a0166.fits Y 2.13 6.144 0.008 3175
2023-04-22 01:22:11.070 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.02 1.0 a0167.fits Y 2.50 5.618 0.006 3238
2023-04-22 01:23:23.250 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.0 a0168.fits Y 2.11 6.130 0.008 2598
2023-04-22 01:24:04.010 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.0 a0169.fits Y 2.09 6.129 0.008 2721
2023-04-22 01:24:45.060 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.0 a0170.fits Y 2.06 6.115 0.008 2931
2023-04-22 01:25:26.000 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.0 a0171.fits Y 2.04 6.109 0.008 3555
2023-04-22 01:26:07.500 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.0 a0172.fits Y 2.06 6.102 0.008 2875
2023-04-22 01:26:48.750 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.1 a0173.fits Y 2.12 6.085 0.008 3189
2023-04-22 01:27:30.630 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.1 a0174.fits Y 2.07 6.111 0.008 3092
2023-04-22 01:28:13.130 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.1 a0175.fits Y 2.11 6.086 0.008 2527
2023-04-22 01:28:54.500 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.1 a0176.fits Y 2.25 6.063 0.008 2514
2023-04-22 01:29:35.570 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.1 a0177.fits Y 2.06 6.064 0.008 3224
2023-04-22 01:30:30.130 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.02 1.1 a0178.fits Y 2.47 5.473 0.006 4017
2023-04-22 01:31:43.320 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.1 a0179.fits Y 2.12 6.003 0.008 3038
2023-04-22 01:32:24.820 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.1 a0180.fits Y 2.17 5.986 0.007 2881
2023-04-22 01:33:05.510 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.2 a0181.fits Y 2.27 5.978 0.007 2839
2023-04-22 01:33:46.570 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.2 a0182.fits Y 2.21 5.961 0.007 2969
2023-04-22 01:34:27.510 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.02 1.2 a0183.fits Y 2.27 5.915 0.007 3171
2023-04-22 01:35:08.510 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.2 a0184.fits Y 2.09 5.919 0.007 3397
2023-04-22 01:35:50.020 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.2 a0185.fits Y 2.25 5.895 0.007 3087
2023-04-22 01:36:30.940 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.2 a0186.fits Y 2.26 5.874 0.007 2984
2023-04-22 01:37:12.440 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.2 a0187.fits Y 2.10 5.847 0.007 3714
2023-04-22 01:37:53.750 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.2 a0188.fits Y 2.12 5.827 0.007 3898
2023-04-22 01:38:48.760 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.03 1.3 a0189.fits Y 2.53 5.173 0.005 5405
2023-04-22 01:40:01.080 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.3 a0190.fits Y 2.24 5.754 0.007 3819
2023-04-22 01:40:41.940 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.3 a0191.fits Y 2.21 5.708 0.007 4266
2023-04-22 01:41:23.820 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.3 a0192.fits Y 2.00 5.674 0.006 4237
2023-04-22 01:42:05.570 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.3 a0193.fits Y 2.02 5.653 0.006 4504
2023-04-22 01:42:47.690 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.3 a0194.fits Y 2.07 5.664 0.006 4432
2023-04-22 01:43:28.510 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.3 a0195.fits Y 2.20 5.644 0.006 4193
2023-04-22 01:44:09.380 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.3 a0196.fits Y 2.08 5.621 0.006 5094
2023-04-22 01:44:50.440 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.4 a0197.fits Y 1.98 5.542 0.006 5759
2023-04-22 01:45:31.630 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.4 a0198.fits Y 2.09 5.508 0.006 4696
2023-04-22 01:46:12.440 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.03 1.4 a0199.fits Y 2.18 5.498 0.006 4551
2023-04-22 01:47:06.940 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.04 1.4 a0200.fits Y 2.63 4.807 0.004 7386
2023-04-22 01:48:20.380 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.04 1.4 a0201.fits Y 2.28 5.500 0.006 4459
2023-04-22 01:49:02.070 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.04 1.4 a0202.fits Y 2.36 5.494 0.006 4338
2023-04-22 01:49:43.070 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.04 1.4 a0203.fits Y 2.10 5.503 0.006 4644
2023-04-22 01:50:24.130 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.04 1.4 a0204.fits Y 2.00 5.512 0.006 5576
2023-04-22 01:51:05.250 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.04 1.5 a0205.fits Y 2.02 5.517 0.006 4790
2023-04-22 01:51:46.380 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.04 1.5 a0206.fits Y 2.05 5.534 0.006 5088
2023-04-22 01:52:28.070 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.04 1.5 a0207.fits Y 1.98 5.535 0.006 5421
2023-04-22 01:53:08.820 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.04 1.5 a0208.fits Y 2.00 5.544 0.006 4576
2023-04-22 01:53:50.130 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.04 1.5 a0209.fits Y 2.09 5.625 0.006 4501
2023-04-22 01:54:30.940 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.04 1.5 a0210.fits Y 2.10 5.615 0.006 4326
2023-04-22 01:55:26.520 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.04 1.5 a0211.fits Y 2.43 4.955 0.004 6741
2023-04-22 01:56:38.910 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.04 1.6 a0212.fits Y 2.08 5.640 0.006 3794
2023-04-22 01:57:19.780 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.04 1.6 a0213.fits Y 2.03 5.670 0.006 4485
2023-04-22 01:58:01.160 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.04 1.6 a0214.fits Y 2.10 5.637 0.006 4856
2023-04-22 01:58:42.090 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.05 1.6 a0215.fits Y 2.11 5.635 0.006 4744
2023-04-22 01:59:23.220 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.05 1.6 a0216.fits Y 2.10 5.649 0.006 4849
2023-04-22 02:00:04.720 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.05 1.6 a0217.fits Y 2.13 5.636 0.006 4199
2023-04-22 02:00:45.600 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.05 1.6 a0218.fits Y 2.12 5.657 0.006 4170
2023-04-22 02:01:26.720 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.05 1.6 a0219.fits Y 2.10 5.658 0.006 4451
2023-04-22 02:02:07.470 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.05 1.6 a0220.fits Y 2.16 5.680 0.006 4660
2023-04-22 02:02:48.660 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.05 1.7 a0221.fits Y 2.09 5.659 0.006 4473
2023-04-22 02:03:44.350 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.05 1.7 a0222.fits Y 2.50 5.063 0.005 5541
2023-04-22 02:04:57.030 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.05 1.7 a0223.fits Y 2.05 5.712 0.007 4059
2023-04-22 02:05:37.840 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.05 1.7 a0224.fits Y 2.10 5.714 0.007 3951
2023-04-22 02:06:18.600 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.05 1.7 a0225.fits Y 2.05 5.729 0.007 4961
2023-04-22 02:06:59.340 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.05 1.7 a0226.fits Y 2.07 5.742 0.007 3978
2023-04-22 02:07:40.530 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.05 1.7 a0227.fits Y 2.09 5.754 0.007 3894
2023-04-22 02:08:21.340 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.06 1.7 a0228.fits Y 2.05 5.768 0.007 4151
2023-04-22 02:09:02.470 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.06 1.8 a0229.fits Y 2.03 5.771 0.007 4461
2023-04-22 02:09:43.470 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.06 1.8 a0230.fits Y 2.03 5.797 0.007 4596
2023-04-22 02:10:24.160 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.06 1.8 a0231.fits Y 1.97 5.785 0.007 4442
2023-04-22 02:11:04.920 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.06 1.8 a0232.fits Y 2.03 5.796 0.007 3381
2023-04-22 02:11:59.530 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.06 1.8 a0233.fits Y 2.54 5.211 0.005 5731
2023-04-22 02:13:11.970 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.06 1.8 a0234.fits Y 2.16 5.821 0.007 3556
2023-04-22 02:13:53.110 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.06 1.8 a0235.fits Y 2.16 5.832 0.007 3824
2023-04-22 02:14:34.030 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.06 1.8 a0236.fits Y 2.16 5.854 0.007 3100
2023-04-22 02:15:15.590 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.06 1.9 a0237.fits Y 2.12 5.857 0.007 3556
2023-04-22 02:15:56.660 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.06 1.9 a0238.fits Y 2.12 5.882 0.007 3916
2023-04-22 02:16:37.720 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.07 1.9 a0239.fits Y 2.16 5.869 0.007 3390
2023-04-22 02:17:18.350 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.07 1.9 a0240.fits Y 2.12 5.891 0.007 3226
2023-04-22 02:17:59.720 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.07 1.9 a0241.fits Y 2.14 5.908 0.007 3262
2023-04-22 02:18:40.590 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.07 1.9 a0242.fits Y 2.21 5.898 0.007 3677
2023-04-22 02:19:21.470 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.07 1.9 a0243.fits Y 2.13 5.912 0.007 3616
2023-04-22 02:20:15.540 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.07 1.9 a0244.fits Y 2.57 5.360 0.005 3905
2023-04-22 02:21:27.780 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.07 2.0 a0245.fits Y 2.15 5.927 0.007 3380
2023-04-22 02:22:08.660 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.07 2.0 a0246.fits Y 2.05 5.947 0.007 3586
2023-04-22 02:22:49.600 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.07 2.0 a0247.fits Y 2.06 5.928 0.007 4105
2023-04-22 02:23:30.910 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.07 2.0 a0248.fits Y 2.18 5.930 0.007 2820
2023-04-22 02:24:12.530 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.07 2.0 a0249.fits Y 2.05 5.935 0.007 3359
2023-04-22 02:24:53.410 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.08 2.0 a0250.fits Y 2.06 5.951 0.007 3373
2023-04-22 02:25:35.400 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.08 2.0 a0251.fits Y 2.08 5.963 0.008 3626
2023-04-22 02:26:16.960 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.08 2.0 a0252.fits Y 2.10 5.984 0.007 3780
2023-04-22 02:26:58.900 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.08 2.1 a0253.fits Y 2.16 5.979 0.007 3290
2023-04-22 02:27:39.650 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.08 2.1 a0254.fits Y 2.08 5.965 0.007 3328
2023-04-22 02:28:33.710 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.08 2.1 a0255.fits Y 2.60 5.456 0.006 4143
2023-04-22 02:29:45.960 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.08 2.1 a0256.fits Y 2.06 6.005 0.008 3550
2023-04-22 02:30:26.960 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.08 2.1 a0257.fits Y 2.04 6.016 0.008 3640
2023-04-22 02:31:07.590 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.08 2.1 a0258.fits Y 2.03 6.000 0.008 3437
2023-04-22 02:31:48.840 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.09 2.1 a0259.fits Y 2.14 6.014 0.008 2756
2023-04-22 02:32:30.710 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.09 2.1 a0260.fits Y 2.05 6.049 0.008 3199
2023-04-22 02:33:12.210 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.09 2.2 a0261.fits Y 2.09 6.026 0.008 3674
2023-04-22 02:33:54.330 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.09 2.2 a0262.fits Y 2.16 6.075 0.008 3296
2023-04-22 02:34:35.080 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.09 2.2 a0263.fits Y 2.32 6.069 0.008 2725
2023-04-22 02:35:16.210 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.09 2.2 a0264.fits Y 2.07 6.043 0.008 3052
2023-04-22 02:35:57.340 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.09 2.2 a0265.fits Y 2.24 6.061 0.008 2720
2023-04-22 02:36:51.340 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.09 2.2 a0266.fits Y 2.50 5.551 0.006 4102
2023-04-22 02:38:04.590 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.09 2.2 a0267.fits Y 2.08 6.080 0.008 3175
2023-04-22 02:38:46.020 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.10 2.3 a0268.fits Y 2.25 6.111 0.008 2678
2023-04-22 02:39:26.830 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.10 2.3 a0269.fits Y 2.31 6.093 0.008 2267
2023-04-22 02:40:08.020 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.10 2.3 a0270.fits Y 2.21 6.102 0.008 2468
2023-04-22 02:40:48.520 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.10 2.3 a0271.fits Y 2.20 6.114 0.008 2637
2023-04-22 02:41:29.400 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.10 2.3 a0272.fits Y 2.28 6.108 0.008 2774
2023-04-22 02:42:10.770 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.10 2.3 a0273.fits Y 2.16 6.108 0.008 2960
2023-04-22 02:42:52.900 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.10 2.3 a0274.fits Y 2.07 6.129 0.008 2690
2023-04-22 02:43:34.020 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.10 2.3 a0275.fits Y 2.06 6.121 0.008 2307
2023-04-22 02:44:14.770 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.10 2.3 a0276.fits Y 2.12 6.122 0.008 2404
2023-04-22 02:45:10.400 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.11 2.4 a0277.fits Y 2.49 5.636 0.006 3722
2023-04-22 02:46:22.770 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.11 2.4 a0278.fits Y 2.20 6.162 0.008 2640
2023-04-22 02:47:04.080 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.11 2.4 a0279.fits Y 2.14 6.160 0.008 2348
2023-04-22 02:47:44.710 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.11 2.4 a0280.fits Y 2.14 6.207 0.008 2865
2023-04-22 02:48:25.960 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.11 2.4 a0281.fits Y 2.11 6.293 0.009 2608
2023-04-22 02:49:07.830 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.11 2.4 a0282.fits Y 2.12 6.269 0.009 2642
2023-04-22 02:49:48.660 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.11 2.4 a0283.fits Y 2.12 6.236 0.009 2552
2023-04-22 02:50:29.460 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.11 2.5 a0284.fits Y 2.12 6.188 0.008 2441
2023-04-22 02:51:11.270 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.12 2.5 a0285.fits Y 2.22 6.203 0.008 2451
2023-04-22 02:51:52.270 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.12 2.5 a0286.fits Y 2.33 6.208 0.008 2465
2023-04-22 02:52:33.150 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.12 2.5 a0287.fits Y 2.32 6.213 0.008 2221
2023-04-22 02:53:27.590 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.12 2.5 a0288.fits Y 2.88 5.755 0.007 2426
2023-04-22 02:54:40.460 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.12 2.5 a0289.fits Y 2.50 6.246 0.009 2026
2023-04-22 02:55:22.210 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.12 2.5 a0290.fits Y 2.42 6.245 0.009 2134
2023-04-22 02:56:03.550 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.12 2.5 a0291.fits Y 2.51 6.238 0.009 1922
2023-04-22 02:56:45.550 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.12 2.6 a0292.fits Y 2.56 6.219 0.008 2000
2023-04-22 02:57:26.740 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.13 2.6 a0293.fits Y 2.40 6.239 0.008 2081
2023-04-22 02:58:07.500 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.13 2.6 a0294.fits Y 2.51 6.262 0.009 2125
2023-04-22 02:58:48.860 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.13 2.6 a0295.fits Y 2.42 6.241 0.009 2088
2023-04-22 02:59:29.680 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.13 2.6 a0296.fits Y 2.58 6.260 0.009 1928
2023-04-22 03:00:11.550 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.13 2.6 a0297.fits Y 2.41 6.246 0.009 1930
2023-04-22 03:00:52.740 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.13 2.6 a0298.fits Y 2.53 6.272 0.009 1837
2023-04-22 03:01:47.990 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.13 2.6 a0299.fits Y 2.73 5.786 0.007 2986
2023-04-22 03:03:00.680 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.14 2.7 a0300.fits Y 2.05 6.232 0.009 2663
2023-04-22 03:03:41.440 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.14 2.7 a0301.fits Y 2.11 6.233 0.009 2351
2023-04-22 03:04:22.240 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.14 2.7 a0302.fits Y 2.13 6.264 0.009 2382
2023-04-22 03:05:03.360 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.14 2.7 a0303.fits Y 2.15 6.249 0.009 2578
2023-04-22 03:05:45.300 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.14 2.7 a0304.fits Y 2.25 6.253 0.009 2121
2023-04-22 03:06:25.990 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.14 2.7 a0305.fits Y 2.33 6.284 0.009 2228
2023-04-22 03:07:07.300 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.14 2.7 a0306.fits Y 2.40 6.292 0.009 2096
2023-04-22 03:07:48.680 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.15 2.7 a0307.fits Y 2.30 6.284 0.009 2085
2023-04-22 03:08:29.740 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.15 2.8 a0308.fits Y 2.31 6.308 0.009 1996
2023-04-22 03:09:10.680 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.15 2.8 a0309.fits Y 2.45 6.315 0.009 1853
2023-04-22 03:10:06.180 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.15 2.8 a0310.fits Y 2.74 5.845 0.007 2590
2023-04-22 03:11:18.930 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.15 2.8 a0311.fits Y 2.22 6.319 0.009 2191
2023-04-22 03:11:59.500 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.15 2.8 a0312.fits Y 2.10 6.313 0.009 2319
2023-04-22 03:12:40.430 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.15 2.8 a0313.fits Y 2.16 6.310 0.009 2245
2023-04-22 03:13:21.300 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.16 2.8 a0314.fits Y 2.13 6.318 0.009 2410
2023-04-22 03:14:02.360 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.16 2.8 a0315.fits Y 2.07 6.295 0.009 2694
2023-04-22 03:14:43.300 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.16 2.9 a0316.fits Y 2.07 6.287 0.009 2183
2023-04-22 03:15:24.170 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.16 2.9 a0317.fits Y 2.07 6.308 0.009 2129
2023-04-22 03:16:05.300 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.16 2.9 a0318.fits Y 2.13 6.297 0.009 2126
2023-04-22 03:16:46.240 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.16 2.9 a0319.fits Y 2.16 6.296 0.009 2525
2023-04-22 03:17:27.110 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.16 2.9 a0320.fits Y 2.02 6.294 0.009 2740
2023-04-22 03:18:21.370 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.17 2.9 a0321.fits Y 2.59 5.800 0.007 2748
2023-04-22 03:19:33.930 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.17 2.9 a0322.fits Y 2.05 6.270 0.009 2145
2023-04-22 03:20:14.920 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.17 2.9 a0323.fits Y 1.99 6.276 0.009 2168
2023-04-22 03:20:55.740 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.17 3.0 a0324.fits Y 2.04 6.261 0.009 2982
2023-04-22 03:21:36.300 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.17 3.0 a0325.fits Y 2.09 6.270 0.009 2958
2023-04-22 03:22:17.050 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.18 3.0 a0326.fits Y 1.98 6.271 0.009 2967
2023-04-22 03:22:58.180 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.18 3.0 a0327.fits Y 2.20 6.254 0.009 2191
2023-04-22 03:23:39.180 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.18 3.0 a0328.fits Y 2.14 6.257 0.009 2320
2023-04-22 03:24:20.990 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.18 3.0 a0329.fits Y 2.12 6.248 0.009 2253
2023-04-22 03:25:02.050 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.18 3.0 a0330.fits Y 2.12 6.259 0.009 2393
2023-04-22 03:25:43.890 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.18 3.0 a0331.fits Y 2.13 6.252 0.009 2798
2023-04-22 03:26:38.330 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.19 3.1 a0332.fits Y 2.50 5.760 0.007 3063
2023-04-22 03:27:50.950 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.19 3.1 a0333.fits Y 2.13 6.258 0.009 2688
2023-04-22 03:28:32.640 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.19 3.1 a0334.fits Y 2.13 6.255 0.009 2721
2023-04-22 03:29:13.330 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.19 3.1 a0335.fits Y 2.12 6.247 0.009 2544
2023-04-22 03:29:53.950 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.19 3.1 a0336.fits Y 2.13 6.230 0.009 2188
2023-04-22 03:30:35.700 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.19 3.1 a0337.fits Y 2.20 6.230 0.008 2246
2023-04-22 03:31:16.640 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.20 3.1 a0338.fits Y 2.05 6.230 0.008 2106
2023-04-22 03:31:57.830 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.20 3.1 a0339.fits Y 2.12 6.238 0.009 2899
2023-04-22 03:32:39.020 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.20 3.2 a0340.fits Y 2.09 6.230 0.009 2930
2023-04-22 03:33:19.960 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.20 3.2 a0341.fits Y 2.10 6.219 0.008 2484
2023-04-22 03:34:01.830 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.20 3.2 a0342.fits Y 2.06 6.195 0.008 2551
2023-04-22 03:34:56.890 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.21 3.2 a0343.fits Y 2.50 5.675 0.006 3989
2023-04-22 03:36:09.890 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.21 3.2 a0344.fits Y 2.03 6.172 0.008 2639
2023-04-22 03:36:51.640 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.21 3.2 a0345.fits Y 2.03 6.153 0.008 3259
2023-04-22 03:37:32.580 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.21 3.2 a0346.fits Y 2.02 6.133 0.008 2893
2023-04-22 03:38:13.640 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.21 3.2 a0347.fits Y 2.09 6.103 0.008 2556
2023-04-22 03:38:54.450 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.21 3.3 a0348.fits Y 2.18 6.120 0.008 2732
2023-04-22 03:39:35.700 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.22 3.3 a0349.fits Y 2.24 6.104 0.008 2693
2023-04-22 03:40:16.830 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.22 3.3 a0350.fits Y 2.23 6.091 0.008 2531
2023-04-22 03:40:58.140 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.22 3.3 a0351.fits Y 2.16 6.079 0.008 2852
2023-04-22 03:41:38.890 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.22 3.3 a0352.fits Y 2.43 6.078 0.008 2282
2023-04-22 03:42:19.700 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.22 3.3 a0353.fits Y 2.23 6.056 0.008 2837
2023-04-22 03:43:13.770 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.23 3.3 a0354.fits Y 2.75 5.462 0.006 3407
2023-04-22 03:44:26.390 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.23 3.4 a0355.fits Y 2.11 5.999 0.008 3524
2023-04-22 03:45:07.830 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.23 3.4 a0356.fits Y 2.12 5.982 0.007 2890
2023-04-22 03:45:49.450 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.23 3.4 a0357.fits Y 2.09 5.977 0.007 2809
2023-04-22 03:46:31.390 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.23 3.4 a0358.fits Y 2.12 5.996 0.008 3221
2023-04-22 03:47:12.260 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.24 3.4 a0359.fits Y 2.11 5.964 0.007 3651
2023-04-22 03:47:53.260 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.24 3.4 a0360.fits Y 2.12 5.965 0.007 3589
2023-04-22 03:48:34.330 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.24 3.4 a0361.fits Y 2.22 5.945 0.007 3005
2023-04-22 03:49:15.580 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.24 3.4 a0362.fits Y 2.08 5.932 0.007 3292
2023-04-22 03:49:57.580 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.24 3.4 a0363.fits Y 2.13 5.931 0.007 3015
2023-04-22 03:50:38.830 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.25 3.5 a0364.fits Y 2.17 5.941 0.007 3555
2023-04-22 03:51:32.950 AAVSO_ P331_ SKUB_ AUTO B 60.000 1.25 3.5 a0365.fits Y 2.46 5.342 0.005 4271
2023-04-22 03:52:45.330 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.25 3.5 a0366.fits Y 2.11 5.934 0.007 3220
2023-04-22 03:53:26.950 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.25 3.5 a0367.fits Y 2.13 5.920 0.007 3826
2023-04-22 03:54:07.700 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.25 3.5 a0368.fits Y 2.12 5.944 0.007 3749
2023-04-22 03:54:48.830 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.26 3.5 a0369.fits Y 2.09 5.935 0.007 3351
2023-04-22 03:55:29.890 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.26 3.5 a0370.fits Y 2.07 5.946 0.007 3625
2023-04-22 03:56:10.730 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.26 3.5 a0371.fits Y 2.17 5.950 0.007 2738
2023-04-22 03:56:51.290 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.26 3.6 a0372.fits Y 2.14 5.938 0.007 3247
2023-04-22 03:57:32.680 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.26 3.6 a0373.fits Y 2.13 5.965 0.007 3625
2023-04-22 03:58:13.920 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.27 3.6 a0374.fits Y 2.12 5.943 0.007 3593
2023-04-22 03:58:55.040 AAVSO_ P331_ SKUB_ AUTO V 30.000 1.27 3.6 a0375.fits Y 2.14 5.932 0.007 3628

RS_Oph

AUID 000-BBZ-452

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-04-22 05:47:15.290 AAVSO_ P224_ RBCA_ AUTO B 10.000 2.24 -2.8 a0415.fits Y 2.73 9.427 0.061 92
2023-04-22 05:47:50.290 AAVSO_ P224_ RBCA_ AUTO B 10.000 2.23 -2.8 a0416.fits Y 2.67 9.466 0.063 86
2023-04-22 05:48:25.480 AAVSO_ P224_ RBCA_ AUTO B 10.000 2.23 -2.8 a0417.fits Y 2.52 9.369 0.059 96
2023-04-22 05:49:00.600 AAVSO_ P224_ RBCA_ AUTO B 10.000 2.22 -2.8 a0418.fits Y 2.56 9.369 0.060 103
2023-04-22 05:49:35.670 AAVSO_ P224_ RBCA_ AUTO B 10.000 2.21 -2.8 a0419.fits Y 2.77 9.466 0.062 88
2023-04-22 05:50:42.355 AAVSO_ P224_ RBCA_ AUTO V 5.000 2.21 -2.8 a0420.fits Y 2.27 8.929 0.034 108 3
2023-04-22 05:51:57.880 AAVSO_ P224_ RBCA_ AUTO V 5.000 2.19 -2.7 a0421.fits Y 2.28 8.855 0.034 154 2
2023-04-22 05:53:14.820 AAVSO_ P224_ RBCA_ AUTO I 5.000 2.18 -2.7 a0422.fits Y 2.25 8.652 0.028 127 3
2023-04-22 05:54:29.700 AAVSO_ P224_ RBCA_ AUTO I 5.000 2.17 -2.7 a0423.fits Y 2.32 8.848 0.033 139 2
2023-04-22 05:55:35.440 AAVSO_ P224_ RBCA_ AUTO B 90.000 2.13 -2.7 a0424.fits Y 2.94 7.201 0.017 669
2023-04-22 05:57:28.880 AAVSO_ P224_ RBCA_ AUTO B 90.000 2.12 -2.6 a0425.fits Y 2.77 7.229 0.017 762
2023-04-22 05:59:24.060 AAVSO_ P224_ RBCA_ AUTO B 90.000 2.11 -2.6 a0426.fits Y 2.86 7.475 0.020 595
2023-04-22 06:01:21.000 AAVSO_ P224_ RBCA_ AUTO V 45.000 2.10 -2.6 a0427.fits Y 2.33 6.978 0.015 1248
2023-04-22 06:02:32.250 AAVSO_ P224_ RBCA_ AUTO V 45.000 2.09 -2.6 a0428.fits Y 2.32 6.722 0.013 1443
2023-04-22 06:03:42.310 AAVSO_ P224_ RBCA_ AUTO V 45.000 2.08 -2.5 a0429.fits Y 2.41 6.575 0.011 1540
2023-04-22 06:04:54.810 AAVSO_ P224_ RBCA_ AUTO I 45.000 2.07 -2.5 a0430.fits Y 2.46 6.352 0.009 1769
2023-04-22 06:06:04.130 AAVSO_ P224_ RBCA_ AUTO I 45.000 2.06 -2.5 a0431.fits Y 2.48 6.264 0.009 2030
2023-04-22 06:07:14.380 AAVSO_ P224_ RBCA_ AUTO I 45.000 2.05 -2.5 a0432.fits Y 2.84 6.311 0.009 1402

R_CrB

AUID 000-BBW-575

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-04-22 04:23:49.200 AAVSO_ P103_ PSulivan_ AUTO B 4.000 1.16 -2.2 a0385.fits Y 2.39 3.607 0.002 21976 5
2023-04-22 04:25:01.790 AAVSO_ P103_ PSulivan_ AUTO V 2.000 1.16 -2.2 a0386.fits Y 1.89 3.789 0.003 21343 5
2023-04-22 04:26:07.565 AAVSO_ P103_ PSulivan_ AUTO V 2.000 1.16 -2.2 a0387.fits Y 1.80 3.791 0.003 19706 5
2023-04-22 04:27:34.195 AAVSO_ P103_ PSulivan_ AUTO R 1.980 1.16 -2.1 a0388.fits Y 1.79 3.943 0.003 19678 8
2023-04-22 04:28:53.820 AAVSO_ P103_ PSulivan_ AUTO I 3.000 1.15 -2.1 a0389.fits Y 1.73 4.721 0.004 9045 4
2023-04-22 04:29:49.570 AAVSO_ P103_ PSulivan_ AUTO I 3.000 1.15 -2.1 a0390.fits Y 1.72 4.809 0.004 9677 4
2023-04-22 04:31:09.225 AAVSO_ P103_ PSulivan_ AUTO B 4.000 1.15 -2.1 a0391.fits Y 2.23 3.672 0.002 21391 5
2023-04-22 04:32:22.195 AAVSO_ P103_ PSulivan_ AUTO V 2.000 1.15 -2.0 a0392.fits Y 1.87 3.871 0.003 20481 5
2023-04-22 04:33:27.850 AAVSO_ P103_ PSulivan_ AUTO V 2.000 1.15 -2.0 a0393.fits Y 1.87 3.889 0.003 19240 5
2023-04-22 04:34:54.005 AAVSO_ P103_ PSulivan_ AUTO R 1.980 1.14 -2.0 a0394.fits Y 1.84 3.930 0.003 20705 8
2023-04-22 04:36:14.475 AAVSO_ P103_ PSulivan_ AUTO I 3.000 1.14 -2.0 a0395.fits Y 1.78 4.923 0.004 7551 4
2023-04-22 04:37:10.445 AAVSO_ P103_ PSulivan_ AUTO I 3.000 1.14 -2.0 a0396.fits Y 1.74 4.865 0.004 8872 4
2023-04-22 04:38:31.600 AAVSO_ P103_ PSulivan_ AUTO B 4.000 1.14 -1.9 a0397.fits Y 2.23 3.621 0.002 18365 5
2023-04-22 04:39:43.790 AAVSO_ P103_ PSulivan_ AUTO V 2.000 1.13 -1.9 a0398.fits Y 1.68 3.786 0.003 27221 5
2023-04-22 04:40:50.350 AAVSO_ P103_ PSulivan_ AUTO V 2.000 1.13 -1.9 a0399.fits Y 1.74 3.775 0.003 22435 5
2023-04-22 04:42:16.010 AAVSO_ P103_ PSulivan_ AUTO R 1.980 1.13 -1.9 a0400.fits Y 1.93 3.823 0.003 19063 8
2023-04-22 04:43:34.290 AAVSO_ P103_ PSulivan_ AUTO I 3.000 1.13 -1.9 a0401.fits Y 1.72 4.634 0.004 11593 4
2023-04-22 04:44:28.940 AAVSO_ P103_ PSulivan_ AUTO I 3.000 1.13 -1.8 a0402.fits Y 1.79 4.623 0.004 11711 4

Tet_CrB

AUID 000-BBW-269

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-04-22 04:48:21.355 AAVSO_ P74_ jcmat_ AUTO V 0.400 1.08 -1.6 a0403.fits Y 1.83 3.660 0.002 24005 25
2023-04-22 04:52:27.445 AAVSO_ P74_ jcmat_ AUTO B 0.550 1.08 -1.5 a0404.fits Y 1.93 3.222 0.002 27860 19
2023-04-22 04:56:47.700 AAVSO_ P74_ jcmat_ AUTO V 0.400 1.07 -1.4 a0405.fits Y 1.94 3.638 0.002 22415 25
2023-04-22 05:00:56.080 AAVSO_ P74_ jcmat_ AUTO B 0.550 1.07 -1.3 a0406.fits Y 2.35 3.157 0.002 31188 19

V0338_Boo

AUID 000-BFT-972

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-04-22 04:03:38.300 AAVSO_ P281_ KPRB_ AUTO B 120.000 1.12 -2.5 a0376.fits Y 2.90 6.388 0.009 1500
2023-04-22 04:05:50.410 AAVSO_ P281_ KPRB_ AUTO B 120.000 1.11 -2.4 a0377.fits Y 2.81 6.385 0.009 1840
2023-04-22 04:08:03.600 AAVSO_ P281_ KPRB_ AUTO V 60.000 1.11 -2.4 a0378.fits Y 2.43 6.909 0.013 1251
2023-04-22 04:09:15.290 AAVSO_ P281_ KPRB_ AUTO V 60.000 1.11 -2.4 a0379.fits Y 2.43 6.909 0.013 1291

V1117_Her

AUID 000-BCX-869

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-04-22 05:04:07.770 AAVSO_ P216_ BPEC_ AUTO I 300.000 1.42 -2.4 a0407.fits Y 2.69 6.794 0.015 1380
2023-04-22 05:09:20.200 AAVSO_ P216_ BPEC_ AUTO I 300.000 1.40 -2.3 a0408.fits Y 2.73 6.795 0.015 1269
2023-04-22 05:14:33.830 AAVSO_ P216_ BPEC_ AUTO R 300.000 1.39 -2.2 a0409.fits Y 2.82 5.517 0.008 3726
2023-04-22 05:19:46.700 AAVSO_ P216_ BPEC_ AUTO R 300.000 1.37 -2.1 a0410.fits Y 2.75 5.593 0.008 3811
2023-04-22 05:25:00.390 AAVSO_ P216_ BPEC_ AUTO V 300.000 1.35 -2.0 a0411.fits Y 2.76 5.578 0.008 3632
2023-04-22 05:30:13.850 AAVSO_ P216_ BPEC_ AUTO V 300.000 1.34 -1.9 a0412.fits Y 2.69 5.607 0.008 3747
2023-04-22 05:35:27.910 AAVSO_ P216_ BPEC_ AUTO B 300.000 1.33 -1.8 a0413.fits Y 3.06 6.149 0.009 1735
2023-04-22 05:40:39.790 AAVSO_ P216_ BPEC_ AUTO B 300.000 1.31 -1.7 a0414.fits Y 3.01 6.131 0.009 1830

V_CVn

AUID 000-BBT-559

DateTime project_ filter exp am ha filename wcs fwhm instmag err maxadu nstk tnimage OE
2023-04-22 04:16:32.860 AAVSO_ P138_ RRIA_ AUTO B 12.570 1.00 0.2 a0380.fits Y 2.46 4.345 0.003 10657
2023-04-22 04:17:10.350 AAVSO_ P138_ RRIA_ AUTO B 12.570 1.00 0.2 a0381.fits Y 2.45 4.356 0.003 11242
2023-04-22 04:17:43.705 AAVSO_ P138_ RRIA_ AUTO V 5.640 1.00 0.2 a0382.fits Y 1.98 3.611 0.002 28353 2
2023-04-22 04:18:36.855 AAVSO_ P138_ RRIA_ AUTO R 2.010 1.00 0.2 a0383.fits Y 1.84 3.819 0.003 21317 5
2023-04-22 04:19:36.825 AAVSO_ P138_ RRIA_ AUTO I 2.700 1.00 0.2 a0384.fits Y 1.80 3.315 0.002 39083 4

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 400
images 401 to 432

images 101 to 150

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:32:09.890 a0101.fits AE_UMa B 60.000 1.00 0.1 Y 2.36 5.309 0.008 5992 7.78
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:33:37.270 a0102.fits AE_UMa V 30.000 1.00 0.2 Y 1.91 5.94 0.009 4384 0.44
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:34:18.820 a0103.fits AE_UMa V 30.000 1.00 0.2 Y 2.10 5.94 0.009 3857 0.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:35:00.820 a0104.fits AE_UMa V 30.000 1.00 0.2 Y 2.09 5.953 0.008 3254 0.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:35:41.510 a0105.fits AE_UMa V 30.000 1.00 0.2 Y 2.16 5.981 0.009 3173 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:36:22.140 a0106.fits AE_UMa V 30.000 1.00 0.2 Y 2.17 6.001 0.009 3004 0.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:37:03.140 a0107.fits AE_UMa V 30.000 1.00 0.2 Y 2.21 5.987 0.008 3096 0.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:37:43.950 a0108.fits AE_UMa V 30.000 1.00 0.2 Y 2.26 6.007 0.008 2898 0.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:38:25.820 a0109.fits AE_UMa V 30.000 1.00 0.2 Y 2.10 5.98 0.008 3579 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:39:06.570 a0110.fits AE_UMa V 30.000 1.00 0.3 Y 2.13 5.997 0.008 3356 0.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:39:47.450 a0111.fits AE_UMa V 30.000 1.00 0.3 Y 2.16 6.02 0.008 3275 0.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:40:42.200 a0112.fits AE_UMa B 60.000 1.00 0.3 Y 2.39 5.436 0.007 4125 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:41:54.510 a0113.fits AE_UMa V 30.000 1.00 0.3 Y 2.00 6.008 0.008 3309 0.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:42:35.450 a0114.fits AE_UMa V 30.000 1.00 0.3 Y 2.07 6.041 0.008 3421 0.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:43:16.450 a0115.fits AE_UMa V 30.000 1.00 0.3 Y 2.10 6.04 0.008 3366 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:43:57.510 a0116.fits AE_UMa V 30.000 1.00 0.3 Y 2.00 6.052 0.008 3153 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:44:39.510 a0117.fits AE_UMa V 30.000 1.00 0.3 Y 2.04 6.039 0.008 3439 0.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:45:20.630 a0118.fits AE_UMa V 30.000 1.00 0.4 Y 2.04 6.017 0.008 3466 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:46:01.510 a0119.fits AE_UMa V 30.000 1.00 0.4 Y 2.11 6.023 0.008 2947 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:46:43.070 a0120.fits AE_UMa V 30.000 1.00 0.4 Y 2.09 6.015 0.008 2860 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:47:24.450 a0121.fits AE_UMa V 30.000 1.00 0.4 Y 2.13 6.022 0.008 2939 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:48:05.510 a0122.fits AE_UMa V 30.000 1.00 0.4 Y 2.07 6.032 0.008 3692 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:48:59.640 a0123.fits AE_UMa B 60.000 1.00 0.4 Y 2.40 5.496 0.006 3780 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:50:12.570 a0124.fits AE_UMa V 30.000 1.00 0.4 Y 2.20 6.048 0.008 2549 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:50:53.390 a0125.fits AE_UMa V 30.000 1.00 0.5 Y 2.10 6.056 0.008 2490 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:51:34.320 a0126.fits AE_UMa V 30.000 1.00 0.5 Y 2.15 6.064 0.008 3002 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:52:15.200 a0127.fits AE_UMa V 30.000 1.00 0.5 Y 2.10 6.074 0.008 3149 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:52:56.390 a0128.fits AE_UMa V 30.000 1.00 0.5 Y 2.09 6.063 0.008 3207 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:53:37.260 a0129.fits AE_UMa V 30.000 1.00 0.5 Y 2.07 6.078 0.008 3060 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:54:18.070 a0130.fits AE_UMa V 30.000 1.00 0.5 Y 2.04 6.077 0.008 3191 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:54:59.580 a0131.fits AE_UMa V 30.000 1.00 0.5 Y 1.96 6.091 0.008 2994 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:55:40.310 a0132.fits AE_UMa V 30.000 1.00 0.5 Y 2.02 6.088 0.008 3019 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:56:21.250 a0133.fits AE_UMa V 30.000 1.01 0.5 Y 1.95 6.076 0.008 3387 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:57:16.370 a0134.fits AE_UMa B 60.000 1.01 0.6 Y 2.47 5.576 0.006 3874 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:58:29.500 a0135.fits AE_UMa V 30.000 1.01 0.6 Y 2.05 6.101 0.008 2847 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:59:10.060 a0136.fits AE_UMa V 30.000 1.01 0.6 Y 2.12 6.12 0.008 2720 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 00:59:52.180 a0137.fits AE_UMa V 30.000 1.01 0.6 Y 2.02 6.116 0.008 3138 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:00:33 a0138.fits AE_UMa V 30.000 1.01 0.6 Y 1.97 6.123 0.008 3484 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:01:14.060 a0139.fits AE_UMa V 30.000 1.01 0.6 Y 2.03 6.128 0.008 2775 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:01:54.930 a0140.fits AE_UMa V 30.000 1.01 0.6 Y 2.02 6.12 0.008 2999 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:02:36.120 a0141.fits AE_UMa V 30.000 1.01 0.6 Y 1.97 6.123 0.008 2988 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:03:17.180 a0142.fits AE_UMa V 30.000 1.01 0.7 Y 1.98 6.136 0.008 3046 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:03:58.260 a0143.fits AE_UMa V 30.000 1.01 0.7 Y 1.94 6.122 0.008 3112 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:04:39.060 a0144.fits AE_UMa V 30.000 1.01 0.7 Y 1.90 6.151 0.008 3741 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:05:34.500 a0145.fits AE_UMa B 60.000 1.01 0.7 Y 2.21 5.598 0.006 3416 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:06:47.060 a0146.fits AE_UMa V 30.000 1.01 0.7 Y 1.99 6.16 0.008 2718 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:07:27.880 a0147.fits AE_UMa V 30.000 1.01 0.7 Y 1.91 6.164 0.008 3025 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:08:09.060 a0148.fits AE_UMa V 30.000 1.01 0.7 Y 1.92 6.141 0.008 2755 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:08:50.370 a0149.fits AE_UMa V 30.000 1.01 0.8 Y 1.86 6.153 0.008 3541 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:09:31.310 a0150.fits AE_UMa V 30.000 1.01 0.8 Y 1.97 6.14 0.008 2746 0.47

images 151 to 200

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:10:12.250 a0151.fits AE_UMa V 30.000 1.01 0.8 Y 2.09 6.139 0.008 2847 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:10:53.310 a0152.fits AE_UMa V 30.000 1.01 0.8 Y 2.02 6.124 0.008 2723 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:11:34.120 a0153.fits AE_UMa V 30.000 1.01 0.8 Y 2.09 6.145 0.008 2442 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:12:15.680 a0154.fits AE_UMa V 30.000 1.01 0.8 Y 2.02 6.13 0.008 2703 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:12:57.430 a0155.fits AE_UMa V 30.000 1.01 0.8 Y 1.96 6.135 0.008 3388 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:13:52.190 a0156.fits AE_UMa B 60.000 1.01 0.8 Y 2.28 5.609 0.006 3510 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:15:04.750 a0157.fits AE_UMa V 30.000 1.01 0.9 Y 1.93 6.145 0.008 3022 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:15:46.620 a0158.fits AE_UMa V 30.000 1.01 0.9 Y 2.01 6.153 0.008 3106 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:16:27.740 a0159.fits AE_UMa V 30.000 1.01 0.9 Y 2.00 6.146 0.008 3002 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:17:09.500 a0160.fits AE_UMa V 30.000 1.01 0.9 Y 2.04 6.146 0.008 2879 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:17:50.620 a0161.fits AE_UMa V 30.000 1.01 0.9 Y 2.09 6.152 0.008 2487 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:18:32.120 a0162.fits AE_UMa V 30.000 1.01 0.9 Y 2.09 6.152 0.008 2379 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:19:13.430 a0163.fits AE_UMa V 30.000 1.02 0.9 Y 2.07 6.169 0.008 2672 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:19:54.180 a0164.fits AE_UMa V 30.000 1.02 0.9 Y 2.10 6.169 0.008 2966 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:20:35.250 a0165.fits AE_UMa V 30.000 1.02 0.9 Y 2.12 6.165 0.008 2514 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:21:16.560 a0166.fits AE_UMa V 30.000 1.02 1.0 Y 2.13 6.144 0.008 3175 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:22:11.070 a0167.fits AE_UMa B 60.000 1.02 1.0 Y 2.50 5.618 0.006 3238 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:23:23.250 a0168.fits AE_UMa V 30.000 1.02 1.0 Y 2.11 6.13 0.008 2598 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:24:04.010 a0169.fits AE_UMa V 30.000 1.02 1.0 Y 2.09 6.129 0.008 2721 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:24:45.060 a0170.fits AE_UMa V 30.000 1.02 1.0 Y 2.06 6.115 0.008 2931 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:25:26 a0171.fits AE_UMa V 30.000 1.02 1.0 Y 2.04 6.109 0.008 3555 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:26:07.500 a0172.fits AE_UMa V 30.000 1.02 1.0 Y 2.06 6.102 0.008 2875 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:26:48.750 a0173.fits AE_UMa V 30.000 1.02 1.1 Y 2.12 6.085 0.008 3189 0.46
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:27:30.630 a0174.fits AE_UMa V 30.000 1.02 1.1 Y 2.07 6.111 0.008 3092 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:28:13.130 a0175.fits AE_UMa V 30.000 1.02 1.1 Y 2.11 6.086 0.008 2527 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:28:54.500 a0176.fits AE_UMa V 30.000 1.02 1.1 Y 2.25 6.063 0.008 2514 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:29:35.570 a0177.fits AE_UMa V 30.000 1.02 1.1 Y 2.06 6.064 0.008 3224 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:30:30.130 a0178.fits AE_UMa B 60.000 1.02 1.1 Y 2.47 5.473 0.006 4017 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:31:43.320 a0179.fits AE_UMa V 30.000 1.02 1.1 Y 2.12 6.003 0.008 3038 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:32:24.820 a0180.fits AE_UMa V 30.000 1.02 1.1 Y 2.17 5.986 0.007 2881 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:33:05.510 a0181.fits AE_UMa V 30.000 1.02 1.2 Y 2.27 5.978 0.007 2839 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:33:46.570 a0182.fits AE_UMa V 30.000 1.02 1.2 Y 2.21 5.961 0.007 2969 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:34:27.510 a0183.fits AE_UMa V 30.000 1.02 1.2 Y 2.27 5.915 0.007 3171 0.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:35:08.510 a0184.fits AE_UMa V 30.000 1.03 1.2 Y 2.09 5.919 0.007 3397 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:35:50.020 a0185.fits AE_UMa V 30.000 1.03 1.2 Y 2.25 5.895 0.007 3087 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:36:30.940 a0186.fits AE_UMa V 30.000 1.03 1.2 Y 2.26 5.874 0.007 2984 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:37:12.440 a0187.fits AE_UMa V 30.000 1.03 1.2 Y 2.10 5.847 0.007 3714 0.48
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:37:53.750 a0188.fits AE_UMa V 30.000 1.03 1.2 Y 2.12 5.827 0.007 3898 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:38:48.760 a0189.fits AE_UMa B 60.000 1.03 1.3 Y 2.53 5.173 0.005 5405 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:40:01.080 a0190.fits AE_UMa V 30.000 1.03 1.3 Y 2.24 5.754 0.007 3819 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:40:41.940 a0191.fits AE_UMa V 30.000 1.03 1.3 Y 2.21 5.708 0.007 4266 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:41:23.820 a0192.fits AE_UMa V 30.000 1.03 1.3 Y 2.00 5.674 0.006 4237 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:42:05.570 a0193.fits AE_UMa V 30.000 1.03 1.3 Y 2.02 5.653 0.006 4504 0.49
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:42:47.690 a0194.fits AE_UMa V 30.000 1.03 1.3 Y 2.07 5.664 0.006 4432 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:43:28.510 a0195.fits AE_UMa V 30.000 1.03 1.3 Y 2.20 5.644 0.006 4193 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:44:09.380 a0196.fits AE_UMa V 30.000 1.03 1.3 Y 2.08 5.621 0.006 5094 0.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:44:50.440 a0197.fits AE_UMa V 30.000 1.03 1.4 Y 1.98 5.542 0.006 5759 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:45:31.630 a0198.fits AE_UMa V 30.000 1.03 1.4 Y 2.09 5.508 0.006 4696 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:46:12.440 a0199.fits AE_UMa V 30.000 1.03 1.4 Y 2.18 5.498 0.006 4551 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:47:06.940 a0200.fits AE_UMa B 60.000 1.04 1.4 Y 2.63 4.807 0.004 7386 0.51

images 201 to 250

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:48:20.380 a0201.fits AE_UMa V 30.000 1.04 1.4 Y 2.28 5.5 0.006 4459 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:49:02.070 a0202.fits AE_UMa V 30.000 1.04 1.4 Y 2.36 5.494 0.006 4338 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:49:43.070 a0203.fits AE_UMa V 30.000 1.04 1.4 Y 2.10 5.503 0.006 4644 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:50:24.130 a0204.fits AE_UMa V 30.000 1.04 1.4 Y 2.00 5.512 0.006 5576 0.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:51:05.250 a0205.fits AE_UMa V 30.000 1.04 1.5 Y 2.02 5.517 0.006 4790 0.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:51:46.380 a0206.fits AE_UMa V 30.000 1.04 1.5 Y 2.05 5.534 0.006 5088 0.51
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:52:28.070 a0207.fits AE_UMa V 30.000 1.04 1.5 Y 1.98 5.535 0.006 5421 0.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:53:08.820 a0208.fits AE_UMa V 30.000 1.04 1.5 Y 2.00 5.544 0.006 4576 0.54
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:53:50.130 a0209.fits AE_UMa V 30.000 1.04 1.5 Y 2.09 5.625 0.006 4501 0.54
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:54:30.940 a0210.fits AE_UMa V 30.000 1.04 1.5 Y 2.10 5.615 0.006 4326 0.54
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:55:26.520 a0211.fits AE_UMa B 60.000 1.04 1.5 Y 2.43 4.955 0.004 6741 0.55
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:56:38.910 a0212.fits AE_UMa V 30.000 1.04 1.6 Y 2.08 5.64 0.006 3794 0.55
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:57:19.780 a0213.fits AE_UMa V 30.000 1.04 1.6 Y 2.03 5.67 0.006 4485 0.56
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:58:01.160 a0214.fits AE_UMa V 30.000 1.04 1.6 Y 2.10 5.637 0.006 4856 0.57
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:58:42.090 a0215.fits AE_UMa V 30.000 1.05 1.6 Y 2.11 5.635 0.006 4744 0.56
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 01:59:23.220 a0216.fits AE_UMa V 30.000 1.05 1.6 Y 2.10 5.649 0.006 4849 0.56
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:00:04.720 a0217.fits AE_UMa V 30.000 1.05 1.6 Y 2.13 5.636 0.006 4199 0.57
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:00:45.600 a0218.fits AE_UMa V 30.000 1.05 1.6 Y 2.12 5.657 0.006 4170 0.57
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:01:26.720 a0219.fits AE_UMa V 30.000 1.05 1.6 Y 2.10 5.658 0.006 4451 0.57
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:02:07.470 a0220.fits AE_UMa V 30.000 1.05 1.6 Y 2.16 5.68 0.006 4660 0.58
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:02:48.660 a0221.fits AE_UMa V 30.000 1.05 1.7 Y 2.09 5.659 0.006 4473 0.59
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:03:44.350 a0222.fits AE_UMa B 60.000 1.05 1.7 Y 2.50 5.063 0.005 5541 0.60
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:04:57.030 a0223.fits AE_UMa V 30.000 1.05 1.7 Y 2.05 5.712 0.007 4059 0.60
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:05:37.840 a0224.fits AE_UMa V 30.000 1.05 1.7 Y 2.10 5.714 0.007 3951 0.60
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:06:18.600 a0225.fits AE_UMa V 30.000 1.05 1.7 Y 2.05 5.729 0.007 4961 0.61
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:06:59.340 a0226.fits AE_UMa V 30.000 1.05 1.7 Y 2.07 5.742 0.007 3978 0.61
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:07:40.530 a0227.fits AE_UMa V 30.000 1.05 1.7 Y 2.09 5.754 0.007 3894 0.62
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:08:21.340 a0228.fits AE_UMa V 30.000 1.06 1.7 Y 2.05 5.768 0.007 4151 0.63
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:09:02.470 a0229.fits AE_UMa V 30.000 1.06 1.8 Y 2.03 5.771 0.007 4461 0.63
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:09:43.470 a0230.fits AE_UMa V 30.000 1.06 1.8 Y 2.03 5.797 0.007 4596 0.64
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:10:24.160 a0231.fits AE_UMa V 30.000 1.06 1.8 Y 1.97 5.785 0.007 4442 0.64
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:11:04.920 a0232.fits AE_UMa V 30.000 1.06 1.8 Y 2.03 5.796 0.007 3381 0.65
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:11:59.530 a0233.fits AE_UMa B 60.000 1.06 1.8 Y 2.54 5.211 0.005 5731 0.66
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:13:11.970 a0234.fits AE_UMa V 30.000 1.06 1.8 Y 2.16 5.821 0.007 3556 0.67
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:13:53.110 a0235.fits AE_UMa V 30.000 1.06 1.8 Y 2.16 5.832 0.007 3824 0.67
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:14:34.030 a0236.fits AE_UMa V 30.000 1.06 1.8 Y 2.16 5.854 0.007 3100 0.68
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:15:15.590 a0237.fits AE_UMa V 30.000 1.06 1.9 Y 2.12 5.857 0.007 3556 0.69
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:15:56.660 a0238.fits AE_UMa V 30.000 1.06 1.9 Y 2.12 5.882 0.007 3916 0.69
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:16:37.720 a0239.fits AE_UMa V 30.000 1.07 1.9 Y 2.16 5.869 0.007 3390 0.70
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:17:18.350 a0240.fits AE_UMa V 30.000 1.07 1.9 Y 2.12 5.891 0.007 3226 0.71
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:17:59.720 a0241.fits AE_UMa V 30.000 1.07 1.9 Y 2.14 5.908 0.007 3262 0.71
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:18:40.590 a0242.fits AE_UMa V 30.000 1.07 1.9 Y 2.21 5.898 0.007 3677 0.72
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:19:21.470 a0243.fits AE_UMa V 30.000 1.07 1.9 Y 2.13 5.912 0.007 3616 0.73
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:20:15.540 a0244.fits AE_UMa B 60.000 1.07 1.9 Y 2.57 5.36 0.005 3905 0.75
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:21:27.780 a0245.fits AE_UMa V 30.000 1.07 2.0 Y 2.15 5.927 0.007 3380 0.75
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:22:08.660 a0246.fits AE_UMa V 30.000 1.07 2.0 Y 2.05 5.947 0.007 3586 0.76
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:22:49.600 a0247.fits AE_UMa V 30.000 1.07 2.0 Y 2.06 5.928 0.007 4105 0.76
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:23:30.910 a0248.fits AE_UMa V 30.000 1.07 2.0 Y 2.18 5.93 0.007 2820 0.77
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:24:12.530 a0249.fits AE_UMa V 30.000 1.07 2.0 Y 2.05 5.935 0.007 3359 0.78
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:24:53.410 a0250.fits AE_UMa V 30.000 1.08 2.0 Y 2.06 5.951 0.007 3373 0.79

images 251 to 300

DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:25:35.400 a0251.fits AE_UMa V 30.000 1.08 2.0 Y 2.08 5.963 0.008 3626 0.79
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:26:16.960 a0252.fits AE_UMa V 30.000 1.08 2.0 Y 2.10 5.984 0.007 3780 0.80
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:26:58.900 a0253.fits AE_UMa V 30.000 1.08 2.1 Y 2.16 5.979 0.007 3290 0.80
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:27:39.650 a0254.fits AE_UMa V 30.000 1.08 2.1 Y 2.08 5.965 0.007 3328 0.81
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:28:33.710 a0255.fits AE_UMa B 60.000 1.08 2.1 Y 2.60 5.456 0.006 4143 0.84
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:29:45.960 a0256.fits AE_UMa V 30.000 1.08 2.1 Y 2.06 6.005 0.008 3550 0.84
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:30:26.960 a0257.fits AE_UMa V 30.000 1.08 2.1 Y 2.04 6.016 0.008 3640 0.85
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:31:07.590 a0258.fits AE_UMa V 30.000 1.08 2.1 Y 2.03 6.0 0.008 3437 0.86
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:31:48.840 a0259.fits AE_UMa V 30.000 1.09 2.1 Y 2.14 6.014 0.008 2756 0.86
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:32:30.710 a0260.fits AE_UMa V 30.000 1.09 2.1 Y 2.05 6.049 0.008 3199 0.87
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:33:12.210 a0261.fits AE_UMa V 30.000 1.09 2.2 Y 2.09 6.026 0.008 3674 0.88
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:33:54.330 a0262.fits AE_UMa V 30.000 1.09 2.2 Y 2.16 6.075 0.008 3296 0.89
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:34:35.080 a0263.fits AE_UMa V 30.000 1.09 2.2 Y 2.32 6.069 0.008 2725 0.89
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:35:16.210 a0264.fits AE_UMa V 30.000 1.09 2.2 Y 2.07 6.043 0.008 3052 0.90
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:35:57.340 a0265.fits AE_UMa V 30.000 1.09 2.2 Y 2.24 6.061 0.008 2720 0.91
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:36:51.340 a0266.fits AE_UMa B 60.000 1.09 2.2 Y 2.50 5.551 0.006 4102 0.94
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:38:04.590 a0267.fits AE_UMa V 30.000 1.09 2.2 Y 2.08 6.08 0.008 3175 0.93
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:38:46.020 a0268.fits AE_UMa V 30.000 1.10 2.3 Y 2.25 6.111 0.008 2678 0.95
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:39:26.830 a0269.fits AE_UMa V 30.000 1.10 2.3 Y 2.31 6.093 0.008 2267 0.96
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:40:08.020 a0270.fits AE_UMa V 30.000 1.10 2.3 Y 2.21 6.102 0.008 2468 0.97
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:40:48.520 a0271.fits AE_UMa V 30.000 1.10 2.3 Y 2.20 6.114 0.008 2637 0.98
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:41:29.400 a0272.fits AE_UMa V 30.000 1.10 2.3 Y 2.28 6.108 0.008 2774 0.99
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:42:10.770 a0273.fits AE_UMa V 30.000 1.10 2.3 Y 2.16 6.108 0.008 2960 0.99
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:42:52.900 a0274.fits AE_UMa V 30.000 1.10 2.3 Y 2.07 6.129 0.008 2690 1.00
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:43:34.020 a0275.fits AE_UMa V 30.000 1.10 2.3 Y 2.06 6.121 0.008 2307 1.01
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:44:14.770 a0276.fits AE_UMa V 30.000 1.10 2.3 Y 2.12 6.122 0.008 2404 1.03
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:45:10.400 a0277.fits AE_UMa B 60.000 1.11 2.4 Y 2.49 5.636 0.006 3722 1.04
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:46:22.770 a0278.fits AE_UMa V 30.000 1.11 2.4 Y 2.20 6.162 0.008 2640 1.06
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:47:04.080 a0279.fits AE_UMa V 30.000 1.11 2.4 Y 2.14 6.16 0.008 2348 1.07
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:47:44.710 a0280.fits AE_UMa V 30.000 1.11 2.4 Y 2.14 6.207 0.008 2865 1.07
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:48:25.960 a0281.fits AE_UMa V 30.000 1.11 2.4 Y 2.11 6.293 0.009 2608 1.08
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:49:07.830 a0282.fits AE_UMa V 30.000 1.11 2.4 Y 2.12 6.269 0.009 2642 1.10
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:49:48.660 a0283.fits AE_UMa V 30.000 1.11 2.4 Y 2.12 6.236 0.009 2552 1.10
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:50:29.460 a0284.fits AE_UMa V 30.000 1.11 2.5 Y 2.12 6.188 0.008 2441 1.11
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:51:11.270 a0285.fits AE_UMa V 30.000 1.12 2.5 Y 2.22 6.203 0.008 2451 1.13
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:51:52.270 a0286.fits AE_UMa V 30.000 1.12 2.5 Y 2.33 6.208 0.008 2465 1.14
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:52:33.150 a0287.fits AE_UMa V 30.000 1.12 2.5 Y 2.32 6.213 0.008 2221 1.14
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:53:27.590 a0288.fits AE_UMa B 60.000 1.12 2.5 Y 2.88 5.755 0.007 2426 1.18
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:54:40.460 a0289.fits AE_UMa V 30.000 1.12 2.5 Y 2.50 6.246 0.009 2026 1.19
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:55:22.210 a0290.fits AE_UMa V 30.000 1.12 2.5 Y 2.42 6.245 0.009 2134 1.19
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:56:03.550 a0291.fits AE_UMa V 30.000 1.12 2.5 Y 2.51 6.238 0.009 1922 1.20
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:56:45.550 a0292.fits AE_UMa V 30.000 1.12 2.6 Y 2.56 6.219 0.008 2000 1.22
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:57:26.740 a0293.fits AE_UMa V 30.000 1.13 2.6 Y 2.40 6.239 0.008 2081 1.22
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:58:07.500 a0294.fits AE_UMa V 30.000 1.13 2.6 Y 2.51 6.262 0.009 2125 1.23
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:58:48.860 a0295.fits AE_UMa V 30.000 1.13 2.6 Y 2.42 6.241 0.009 2088 1.26
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 02:59:29.680 a0296.fits AE_UMa V 30.000 1.13 2.6 Y 2.58 6.26 0.009 1928 1.27
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:00:11.550 a0297.fits AE_UMa V 30.000 1.13 2.6 Y 2.41 6.246 0.009 1930 1.27
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:00:52.740 a0298.fits AE_UMa V 30.000 1.13 2.6 Y 2.53 6.272 0.009 1837 1.29
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:01:47.990 a0299.fits AE_UMa B 60.000 1.13 2.6 Y 2.73 5.786 0.007 2986 1.31
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:03:00.680 a0300.fits AE_UMa V 30.000 1.14 2.7 Y 2.05 6.232 0.009 2663 1.31

images 301 to 350

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2023-04-22 03:03:41.440 a0301.fits AE_UMa V 30.000 1.14 2.7 Y 2.11 6.233 0.009 2351 1.33
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:04:22.240 a0302.fits AE_UMa V 30.000 1.14 2.7 Y 2.13 6.264 0.009 2382 1.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:05:03.360 a0303.fits AE_UMa V 30.000 1.14 2.7 Y 2.15 6.249 0.009 2578 1.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:05:45.300 a0304.fits AE_UMa V 30.000 1.14 2.7 Y 2.25 6.253 0.009 2121 1.36
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:06:25.990 a0305.fits AE_UMa V 30.000 1.14 2.7 Y 2.33 6.284 0.009 2228 1.38
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:07:07.300 a0306.fits AE_UMa V 30.000 1.14 2.7 Y 2.40 6.292 0.009 2096 1.39
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:07:48.680 a0307.fits AE_UMa V 30.000 1.15 2.7 Y 2.30 6.284 0.009 2085 1.39
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:08:29.740 a0308.fits AE_UMa V 30.000 1.15 2.8 Y 2.31 6.308 0.009 1996 1.41
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:09:10.680 a0309.fits AE_UMa V 30.000 1.15 2.8 Y 2.45 6.315 0.009 1853 1.43
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:10:06.180 a0310.fits AE_UMa B 60.000 1.15 2.8 Y 2.74 5.845 0.007 2590 1.45
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:11:18.930 a0311.fits AE_UMa V 30.000 1.15 2.8 Y 2.22 6.319 0.009 2191 1.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:11:59.500 a0312.fits AE_UMa V 30.000 1.15 2.8 Y 2.10 6.313 0.009 2319 1.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:12:40.430 a0313.fits AE_UMa V 30.000 1.15 2.8 Y 2.16 6.31 0.009 2245 1.47
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:13:21.300 a0314.fits AE_UMa V 30.000 1.16 2.8 Y 2.13 6.318 0.009 2410 1.50
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:14:02.360 a0315.fits AE_UMa V 30.000 1.16 2.8 Y 2.07 6.295 0.009 2694 1.52
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:14:43.300 a0316.fits AE_UMa V 30.000 1.16 2.9 Y 2.07 6.287 0.009 2183 1.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:15:24.170 a0317.fits AE_UMa V 30.000 1.16 2.9 Y 2.07 6.308 0.009 2129 1.53
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:16:05.300 a0318.fits AE_UMa V 30.000 1.16 2.9 Y 2.13 6.297 0.009 2126 1.55
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:16:46.240 a0319.fits AE_UMa V 30.000 1.16 2.9 Y 2.16 6.296 0.009 2525 1.57
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:17:27.110 a0320.fits AE_UMa V 30.000 1.16 2.9 Y 2.02 6.294 0.009 2740 1.58
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:18:21.370 a0321.fits AE_UMa B 60.000 1.17 2.9 Y 2.59 5.8 0.007 2748 1.61
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:19:33.930 a0322.fits AE_UMa V 30.000 1.17 2.9 Y 2.05 6.27 0.009 2145 1.61
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:20:14.920 a0323.fits AE_UMa V 30.000 1.17 2.9 Y 1.99 6.276 0.009 2168 1.62
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:20:55.740 a0324.fits AE_UMa V 30.000 1.17 3.0 Y 2.04 6.261 0.009 2982 1.64
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:21:36.300 a0325.fits AE_UMa V 30.000 1.17 3.0 Y 2.09 6.27 0.009 2958 1.65
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:22:17.050 a0326.fits AE_UMa V 30.000 1.18 3.0 Y 1.98 6.271 0.009 2967 1.66
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:22:58.180 a0327.fits AE_UMa V 30.000 1.18 3.0 Y 2.20 6.254 0.009 2191 1.67
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:23:39.180 a0328.fits AE_UMa V 30.000 1.18 3.0 Y 2.14 6.257 0.009 2320 1.69
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:24:20.990 a0329.fits AE_UMa V 30.000 1.18 3.0 Y 2.12 6.248 0.009 2253 1.71
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:25:02.050 a0330.fits AE_UMa V 30.000 1.18 3.0 Y 2.12 6.259 0.009 2393 1.71
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:25:43.890 a0331.fits AE_UMa V 30.000 1.18 3.0 Y 2.13 6.252 0.009 2798 1.72
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:26:38.330 a0332.fits AE_UMa B 60.000 1.19 3.1 Y 2.50 5.76 0.007 3063 1.76
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:27:50.950 a0333.fits AE_UMa V 30.000 1.19 3.1 Y 2.13 6.258 0.009 2688 1.77
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:28:32.640 a0334.fits AE_UMa V 30.000 1.19 3.1 Y 2.13 6.255 0.009 2721 1.79
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:29:13.330 a0335.fits AE_UMa V 30.000 1.19 3.1 Y 2.12 6.247 0.009 2544 1.81
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:29:53.950 a0336.fits AE_UMa V 30.000 1.19 3.1 Y 2.13 6.23 0.009 2188 1.81
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:30:35.700 a0337.fits AE_UMa V 30.000 1.19 3.1 Y 2.20 6.23 0.008 2246 1.82
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:31:16.640 a0338.fits AE_UMa V 30.000 1.20 3.1 Y 2.05 6.23 0.008 2106 1.84
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:31:57.830 a0339.fits AE_UMa V 30.000 1.20 3.1 Y 2.12 6.238 0.009 2899 1.86
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:32:39.020 a0340.fits AE_UMa V 30.000 1.20 3.2 Y 2.09 6.23 0.009 2930 1.86
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:33:19.960 a0341.fits AE_UMa V 30.000 1.20 3.2 Y 2.10 6.219 0.008 2484 1.88
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:34:01.830 a0342.fits AE_UMa V 30.000 1.20 3.2 Y 2.06 6.195 0.008 2551 1.91
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:34:56.890 a0343.fits AE_UMa B 60.000 1.21 3.2 Y 2.50 5.675 0.006 3989 1.93
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:36:09.890 a0344.fits AE_UMa V 30.000 1.21 3.2 Y 2.03 6.172 0.008 2639 1.95
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:36:51.640 a0345.fits AE_UMa V 30.000 1.21 3.2 Y 2.03 6.153 0.008 3259 1.96
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:37:32.580 a0346.fits AE_UMa V 30.000 1.21 3.2 Y 2.02 6.133 0.008 2893 1.97
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:38:13.640 a0347.fits AE_UMa V 30.000 1.21 3.2 Y 2.09 6.103 0.008 2556 1.98
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:38:54.450 a0348.fits AE_UMa V 30.000 1.21 3.3 Y 2.18 6.12 0.008 2732 2.01
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:39:35.700 a0349.fits AE_UMa V 30.000 1.22 3.3 Y 2.24 6.104 0.008 2693 2.02
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:40:16.830 a0350.fits AE_UMa V 30.000 1.22 3.3 Y 2.23 6.091 0.008 2531 2.02

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2023-04-22 03:40:58.140 a0351.fits AE_UMa V 30.000 1.22 3.3 Y 2.16 6.079 0.008 2852 2.04
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:41:38.890 a0352.fits AE_UMa V 30.000 1.22 3.3 Y 2.43 6.078 0.008 2282 2.07
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:42:19.700 a0353.fits AE_UMa V 30.000 1.22 3.3 Y 2.23 6.056 0.008 2837 2.06
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2023-04-22 03:43:13.770 a0354.fits AE_UMa B 60.000 1.23 3.3 Y 2.75 5.462 0.006 3407 2.11
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2023-04-22 03:44:26.390 a0355.fits AE_UMa V 30.000 1.23 3.4 Y 2.11 5.999 0.008 3524 2.12
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:45:07.830 a0356.fits AE_UMa V 30.000 1.23 3.4 Y 2.12 5.982 0.007 2890 2.11
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:45:49.450 a0357.fits AE_UMa V 30.000 1.23 3.4 Y 2.09 5.977 0.007 2809 2.14
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:46:31.390 a0358.fits AE_UMa V 30.000 1.23 3.4 Y 2.12 5.996 0.008 3221 2.16
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2023-04-22 03:47:12.260 a0359.fits AE_UMa V 30.000 1.24 3.4 Y 2.11 5.964 0.007 3651 2.16
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2023-04-22 03:47:53.260 a0360.fits AE_UMa V 30.000 1.24 3.4 Y 2.12 5.965 0.007 3589 2.17
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:48:34.330 a0361.fits AE_UMa V 30.000 1.24 3.4 Y 2.22 5.945 0.007 3005 2.20
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2023-04-22 03:49:15.580 a0362.fits AE_UMa V 30.000 1.24 3.4 Y 2.08 5.932 0.007 3292 2.22
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2023-04-22 03:49:57.580 a0363.fits AE_UMa V 30.000 1.24 3.4 Y 2.13 5.931 0.007 3015 2.21
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:50:38.830 a0364.fits AE_UMa V 30.000 1.25 3.5 Y 2.17 5.941 0.007 3555 2.23
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2023-04-22 03:51:32.950 a0365.fits AE_UMa B 60.000 1.25 3.5 Y 2.46 5.342 0.005 4271 2.27
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:52:45.330 a0366.fits AE_UMa V 30.000 1.25 3.5 Y 2.11 5.934 0.007 3220 2.27
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:53:26.950 a0367.fits AE_UMa V 30.000 1.25 3.5 Y 2.13 5.92 0.007 3826 2.30
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:54:07.700 a0368.fits AE_UMa V 30.000 1.25 3.5 Y 2.12 5.944 0.007 3749 2.32
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:54:48.830 a0369.fits AE_UMa V 30.000 1.26 3.5 Y 2.09 5.935 0.007 3351 2.32
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:55:29.890 a0370.fits AE_UMa V 30.000 1.26 3.5 Y 2.07 5.946 0.007 3625 2.33
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:56:10.730 a0371.fits AE_UMa V 30.000 1.26 3.5 Y 2.17 5.95 0.007 2738 2.35
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:56:51.290 a0372.fits AE_UMa V 30.000 1.26 3.6 Y 2.14 5.938 0.007 3247 2.36
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:57:32.680 a0373.fits AE_UMa V 30.000 1.26 3.6 Y 2.13 5.965 0.007 3625 2.37
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:58:13.920 a0374.fits AE_UMa V 30.000 1.27 3.6 Y 2.12 5.943 0.007 3593 2.39
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 03:58:55.040 a0375.fits AE_UMa V 30.000 1.27 3.6 Y 2.14 5.932 0.007 3628 2.42
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 04:03:38.300 a0376.fits V0338_Boo B 120.000 1.12 -2.5 Y 2.90 6.388 0.009 1500 0.57
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2023-04-22 04:09:15.290 a0379.fits V0338_Boo V 60.000 1.11 -2.4 Y 2.43 6.909 0.013 1291 0.54
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
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DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 04:25:01.790 a0386.fits R_CrB V 2.000 1.16 -2.2 Y 1.89 3.789 0.003 21343 5 0.63
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 04:26:07.565 a0387.fits R_CrB V 2.000 1.16 -2.2 Y 1.80 3.791 0.003 19706 5 0.61
DateTime filename objid filter exp am ha wcs fwhm instmag err maxadu nstk center2obj
2023-04-22 04:27:34.195 a0388.fits R_CrB R 1.980 1.16 -2.1 Y 1.79 3.943 0.003 19678 8 0.62
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