Table of Contents¶

Warnings and Errors
Calibration File Age
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

Warnings and Errors¶

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¶

CCD set point vs operating temperature¶

/usr/lib/python3/dist-packages/matplotlib/cbook/__init__.py:1402: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.
  ndim = x[:, None].ndim
/usr/lib/python3/dist-packages/matplotlib/axes/_base.py:276: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.
  x = x[:, np.newaxis]
/usr/lib/python3/dist-packages/matplotlib/axes/_base.py:278: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.
  y = y[:, np.newaxis]

Pointing Performance¶

Suspected Over Exposed Images¶

Suspected Under Exposed Images¶

Images by Target Object¶

Remark-o-matic Image View¶

Image Table¶

Column Definitions¶

DateTime: UTC timestamp

filename: Image filename in IRAF processing and as JPEG thumbnail

link: Hyperlink to JPEG thumbnail

objid: Target object ID as defined in ACP plan and in FITS header

filter: Photometric filter used

exptime or exp: Exposure time in sec

airmass or am: Airmass during exposure

hr_ang or ha: The hour angle for the images in hours.

has_wcs or wcs: Image was plate solved at observatory and World Coordinate Systems attributes (WCS) attributes were placed in FITS header.

fwhm: Full Width Half Max star images as measured at observatory

instmag: Target object instrumental magnitude as measured by pipeline IRAF photomery subsystem

err: Target object magnitude error as measured by pipeline IRAF photomery subsystem

maxadu: Target object maximum ADU as measured by pipeline IRAF photomery subsystem

auid: AAVSO Unique Identifier for the target object

center2obj: Separation of target object from center of the image in arcmin

JD: Julian date - 2540000

ccd_temp: Camera sensor temperature (C)

set_temp: Camera cooler set point temperatur (C)

img_type: Image type; "Light" is expected; "Flat", "Dark" or "Bias" indicate a mixup in the telescope computer settings

read_mode: Various values, but this should be the same for all images at a given telescope

binning: X and Y binning of sensor pixels; this should be the same for all images at a given telescope

fov_radius_amin: Radius of field of view for the camera sensor across the shorter dimension in arcmin

image_available: This should also be yes(Y) unless a failure in the HQ computer sysem

OE: !OE! indicates over exposed target. The max ADU for the target is more than the linearity liit of the camera.

new_exp: Suggested new exposure for over exposed targets.

nstk: If this is a stacked image, number of images combined.

ChgCSV: The exposure was automatically changed in the Scheduler CSV file.

tnimage: Small image thumbnail that will open the full JPEG thumbnail image in a new tab

datenite	imagetyp	filename	set_temp	filter	binning	exptime	storage_loc	Age(d)	Active
211205	bias	tmo61/tmo61b/calibration/211205/bias_temp-12_bin2.fits	-12.0	None	2	None	s3	156	Y
211205	dark	tmo61/tmo61b/calibration/211205/dark_1.0sec_temp-12_bin2.fits	-12.0	None	2	1.00	s3	156	Y
211205	dark	tmo61/tmo61b/calibration/211205/dark_3.0sec_temp-12_bin2.fits	-12.0	None	2	3.00	s3	156	Y
211205	dark	tmo61/tmo61b/calibration/211205/dark_10.0sec_temp-12_bin2.fits	-12.0	None	2	10.00	s3	156	Y
211205	dark	tmo61/tmo61b/calibration/211205/dark_30.0sec_temp-12_bin2.fits	-12.0	None	2	30.00	s3	156	Y
211205	dark	tmo61/tmo61b/calibration/211205/dark_100.0sec_temp-12_bin2.fits	-12.0	None	2	100.00	s3	156	Y
211205	dark	tmo61/tmo61b/calibration/211205/dark_300.0sec_temp-12_bin2.fits	-12.0	None	2	300.00	s3	156	Y
220510	flat	tmo61/tmo61b/calibration/220510/flatB_bin2.fits	NaN	B	2	None	fs	0	Y
220510	flat	tmo61/tmo61b/calibration/220510/flatR_bin2.fits	NaN	R	2	None	fs	0	Y
220510	flat	tmo61/tmo61b/calibration/220510/flatSI_bin2.fits	NaN	SI	2	None	fs	0	Y
220510	flat	tmo61/tmo61b/calibration/220510/flatV_bin2.fits	NaN	V	2	None	fs	0	Y
211103	flat	tmo61/tmo61b/calibration/211103/flatSU_bin2.fits	NaN	SU	2	None	s3	188	Y
220510	flat	tmo61/tmo61b/calibration/220510/flatSG_bin2.fits	NaN	SG	2	None	fs	0
220510	flat	tmo61/tmo61b/calibration/220510/flatSR_bin2.fits	NaN	SR	2	None	fs	0
220510	flat	tmo61/tmo61b/calibration/220510/flatSZ_bin2.fits	NaN	SZ	2	None	fs	0
211016	flat	tmo61/tmo61b/calibration/211016/flatHalpha_bin2.fits	NaN	Halpha	2	None	s3	206

DateTime	project_	objid	filter	exptime	airmass	fwhm	instmag	err	maxadu
2022-05-10 11:28:24.490	AAVSO_ MISC_ HQA_ AUTO	V1687_Cyg	B	3.000	1.03	4.52	15.479	0.675	152
2022-05-10 11:27:10.930	AAVSO_ MISC_ HQA_ AUTO	V1687_Cyg	R	0.500	1.03	3.56	17.592	2.866	61
2022-05-10 11:26:43.020	AAVSO_ MISC_ HQA_ AUTO	V1687_Cyg	SI	1.000	1.04	3.42	16.097	0.800	59
2022-05-10 11:28:49.810	AAVSO_ MISC_ HQA_ AUTO	V1687_Cyg	V	1.000	1.03	3.66	16.269	0.958	74
2022-05-10 05:27:20.690	AAVSO_ P246_ KPRB_ AUTO	M3-V154	B	30.000	1.00	5.86	12.334	0.272	753
2022-05-10 05:28:11.650	AAVSO_ P246_ KPRB_ AUTO	M3-V154	V	15.000	1.00	6.61	12.683	0.199	567
2022-05-10 05:33:15.470	AAVSO_ P246_ KPRB_ AUTO	M5-V42	B	30.000	1.28		14.369	0.234	118
2022-05-10 05:36:51.730	AAVSO_ P246_ KPRB_ AUTO	M5-V42	V	15.000	1.27		16.153	1.127	82
2022-05-10 03:35:29.790	AAVSO_ survey_ HQ_ AUTO	3C_279	SU	100.000	1.35	3.27	14.476	0.155	77
2022-05-10 04:15:36.560	AAVSO_ survey_ HQ_ AUTO	AG_Dra	V	30.000	1.47	4.91	15.199	0.494	154
2022-05-10 08:13:40.890	AAVSO_ survey_ HQ_ AUTO	HD168418	B	30.000	1.84	4.62	13.990	0.258	1396
2022-05-10 08:12:37.500	AAVSO_ survey_ HQ_ AUTO	HD168418	R	5.000	1.85	4.86	15.087	0.404	139
2022-05-10 08:12:00.740	AAVSO_ survey_ HQ_ AUTO	HD168418	SI	10.000	1.86	4.55	15.052	0.341	118
2022-05-10 09:30:26.000	AAVSO_ survey_ HQ_ AUTO	KP_Cyg	B	80.000	1.16	4.41	13.999	0.180	151
2022-05-10 09:25:55.380	AAVSO_ survey_ HQ_ AUTO	KP_Cyg	R	30.000	1.18	3.72	14.203	0.180	114
2022-05-10 09:34:41.260	AAVSO_ survey_ HQ_ AUTO	KP_Cyg	SI	40.000	1.16	4.19	14.564	0.275	309
2022-05-10 09:26:50.430	AAVSO_ survey_ HQ_ AUTO	KP_Cyg	V	40.000	1.17	5.30	16.904	2.142	105
2022-05-10 08:44:52.260	AAVSO_ survey_ HQ_ AUTO	M56_V6	B	300.000	1.16	5.67	10.358	0.087	1598
2022-05-10 08:53:57.480	AAVSO_ survey_ HQ_ AUTO	M56_V6	R	120.000	1.14	4.85	11.887	0.297	2111
2022-05-10 08:56:37.800	AAVSO_ survey_ HQ_ AUTO	M56_V6	SI	180.000	1.13	4.76	11.954	0.314	2320
2022-05-10 08:50:23.970	AAVSO_ survey_ HQ_ AUTO	M56_V6	V	180.000	1.15	5.36	10.965	0.207	3173
2022-05-10 07:54:38.800	AAVSO_ survey_ HQ_ AUTO	MN84	V	240.000	1.66	7.09	12.499	0.090	883
2022-05-10 02:51:22.370	AAVSO_ survey_ HQ_ AUTO	Mrk_180	SU	60.000	1.27		14.843	0.222	126
2022-05-10 08:18:30.670	AAVSO_ survey_ HQ_ AUTO	NSV_11749	B	300.000	1.54	5.96	14.199	0.391	676
2022-05-10 08:28:16.660	AAVSO_ survey_ HQ_ AUTO	NSV_11749	SI	30.000	1.51	5.60	15.561	0.670	362
2022-05-10 04:27:42.240	AAVSO_ survey_ HQ_ AUTO	PG_1424+240	SU	60.000	1.12		16.152	0.678	150
2022-05-10 05:00:32.170	AAVSO_ survey_ HQ_ AUTO	PG_1553+113	SU	40.000	1.40		14.053	0.105	396
2022-05-10 03:22:09.800	AAVSO_ survey_ HQ_ AUTO	PKS_1222+216	SU	100.000	1.04		15.678	0.470	383
2022-05-10 04:53:10.950	AAVSO_ survey_ HQ_ AUTO	PKS_1510-089	SU	150.000	1.63		16.452	0.954	135
2022-05-10 07:03:52.580	AAVSO_ survey_ HQ_ AUTO	PV_Cep	R	150.000	1.88	6.16	12.282	0.064	514
2022-05-10 07:07:03.140	AAVSO_ survey_ HQ_ AUTO	PV_Cep	SI	60.000	1.87	6.41	12.706	0.054	160
2022-05-10 06:46:06.460	AAVSO_ survey_ HQ_ AUTO	PV_Cep	SU	200.000	1.96	5.55	14.941	0.258	176
2022-05-10 09:42:18.100	AAVSO_ survey_ HQ_ AUTO	RS_Sge	B	90.000	1.17	4.60	13.181	0.088	240
2022-05-10 09:36:53.880	AAVSO_ survey_ HQ_ AUTO	RS_Sge	SI	20.000	1.18	4.18	15.052	0.330	1587
2022-05-10 05:11:29.560	AAVSO_ survey_ HQ_ AUTO	S5_0716+714	SU	60.000	1.94		13.836	0.087	2099
2022-05-10 09:54:40.560	AAVSO_ survey_ HQ_ AUTO	V1412_Aql	V	180.000	1.30	4.11	12.567	0.064	521
2022-05-10 09:50:54.850	AAVSO_ survey_ HQ_ AUTO	V1687_Cyg	B	3.000	1.16	3.20	15.431	0.359	59
2022-05-10 09:52:00.560	AAVSO_ survey_ HQ_ AUTO	V1687_Cyg	R	0.500	1.16	3.05	15.484	0.383	53
2022-05-10 09:49:14.780	AAVSO_ survey_ HQ_ AUTO	V1687_Cyg	SI	1.000	1.16	2.83	15.656	0.453	43
2022-05-10 09:51:39.050	AAVSO_ survey_ HQ_ AUTO	V1687_Cyg	V	1.000	1.16	3.47	15.731	0.451	88
2022-05-10 10:13:30.040	AAVSO_ survey_ HQ_ AUTO	V2492_Cyg	SI	120.000	1.17	7.88	14.868	0.376	415
2022-05-10 10:33:29.960	AAVSO_ survey_ HQ_ AUTO	V2492_Cyg	V	240.000	1.13		12.303	0.057	404
2022-05-10 11:05:03.030	AAVSO_ survey_ HQ_ AUTO	V407_Cyg	B	120.000	1.10	6.31	14.952	0.531	412
2022-05-10 10:58:28.970	AAVSO_ survey_ HQ_ AUTO	V407_Cyg	R	40.000	1.12	8.05	14.945	0.376	139
2022-05-10 11:10:32.580	AAVSO_ survey_ HQ_ AUTO	V407_Cyg	SI	60.000	1.10	6.84	15.052	0.535	183
2022-05-10 11:07:37.670	AAVSO_ survey_ HQ_ AUTO	V407_Cyg	V	60.000	1.10	6.94	14.867	0.460	191
2022-05-10 08:35:56.360	AAVSO_ survey_ HQ_ AUTO	V413_Aql	B	80.000	1.50	6.28	12.576	0.055	380
2022-05-10 08:29:29.830	AAVSO_ survey_ HQ_ AUTO	V413_Aql	SI	40.000	1.55	5.45	14.825	0.357	573
2022-05-10 08:31:33.010	AAVSO_ survey_ HQ_ AUTO	V413_Aql	V	40.000	1.53		16.449	1.506	147
2022-05-10 06:42:43.800	AAVSO_ survey_ HQ_ AUTO	V884_Her	V	60.000	1.43		12.893	0.071	226
2022-05-10 04:12:36.850	AAVSO_ survey_ HQ_ AUTO	X_Boo	V	5.000	1.19		15.279	0.444	248
2022-05-10 05:20:15.830	AAVSO_ survey_ HQ_ AUTO	X_Ser	V	120.000	1.69		14.263	0.331	4126

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 03:31:18.270	AAVSO_ survey_ HQ_ AUTO	SU	100.000	1.36	-1.3	a0115.fits	Y	4.13	16.453	1.001	60
2022-05-10 03:33:21.180	AAVSO_ survey_ HQ_ AUTO	SU	100.000	1.35	-1.3	a0116.fits	Y	3.85	17.920	3.788	60
2022-05-10 03:35:29.790	AAVSO_ survey_ HQ_ AUTO	SU	100.000	1.35	-1.3	a0117.fits	Y	3.27	14.476	0.155	77

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 04:15:36.560	AAVSO_ survey_ HQ_ AUTO	V	30.000	1.47	-3.7	a0132.fits	Y	4.91	15.199	0.494	154
2022-05-10 04:17:19.530	AAVSO_ survey_ HQ_ AUTO	B	60.000	1.46	-3.7	a0133.fits	Y	4.63	6.369	0.001	31683
2022-05-10 04:18:47.330	AAVSO_ survey_ HQ_ AUTO	B	60.000	1.46	-3.6	a0134.fits	Y	5.05	6.783	0.002	18967
2022-05-10 04:20:20.240	AAVSO_ survey_ HQ_ AUTO	V	30.000	1.45	-3.6	a0135.fits	Y	3.47	5.990	0.001	59452

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 08:12:00.740	AAVSO_ survey_ HQ_ AUTO	SI	10.000	1.86	-2.0	a0206.fits	Y	4.55	15.052	0.341	118
2022-05-10 08:12:37.500	AAVSO_ survey_ HQ_ AUTO	R	5.000	1.85	-2.0	a0207.fits	Y	4.86	15.087	0.404	139
2022-05-10 08:13:07.180	AAVSO_ survey_ HQ_ AUTO	V	8.500	1.85	-2.0	a0208.fits	Y	5.22	7.311	0.002	11188
2022-05-10 08:13:40.890	AAVSO_ survey_ HQ_ AUTO	B	30.000	1.84	-2.0	a0209.fits	Y	4.62	13.990	0.258	1396
2022-05-10 08:14:26.600	AAVSO_ survey_ HQ_ AUTO	B	30.000	1.84	-2.0	a0210.fits	Y	4.56	6.035	0.001	40570
2022-05-10 08:15:18.250	AAVSO_ survey_ HQ_ AUTO	V	8.500	1.84	-2.0	a0211.fits	Y	4.63	7.189	0.002	15314
2022-05-10 08:15:46.100	AAVSO_ survey_ HQ_ AUTO	R	5.000	1.83	-2.0	a0212.fits	Y	4.19	7.743	0.002	9433
2022-05-10 08:16:18.680	AAVSO_ survey_ HQ_ AUTO	SI	10.000	1.83	-2.0	a0213.fits	Y	4.57	7.696	0.002	9098

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk	tnimage	OE
2022-05-10 11:20:16.520	AAVSO_ survey_ HQ_ AUTO	V	120.000	1.14	-2.0	a0286.fits
2022-05-10 11:22:58.090	AAVSO_ survey_ HQ_ AUTO	V	120.000	1.14	-1.9	a0287.fits

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 07:13:02.040	AAVSO_ survey_ HQ_ AUTO	SI	180.000	1.42	-3.6	a0190.fits	Y	5.42	11.289	0.023	517
2022-05-10 07:16:41.040	AAVSO_ survey_ HQ_ AUTO	V	240.000	1.40	-3.5	a0191.fits	Y	5.73	10.262	0.013	1164
2022-05-10 07:21:10.250	AAVSO_ survey_ HQ_ AUTO	V	240.000	1.38	-3.4	a0192.fits	Y	5.63	10.250	0.013	1135
2022-05-10 07:25:52.470	AAVSO_ survey_ HQ_ AUTO	SI	180.000	1.36	-3.4	a0193.fits	Y	5.25

DateTime	project_	filter	exp	am	ha	filename
2022-05-10 04:02:34.380	AAVSO_ survey_ HQ_ AUTO	V	120.000	1.13	-1.6	a0121.fits
2022-05-10 04:04:55.410	AAVSO_ survey_ HQ_ AUTO	V	120.000	1.12	-1.6	a0122.fits
2022-05-10 04:07:12.170	AAVSO_ survey_ HQ_ AUTO	V	120.000	1.12	-1.5	a0123.fits

DateTime	project_	filter	exp	am	ha	filename	instmag	err	maxadu
2022-05-10 03:40:37.360	AAVSO_ survey_ HQ_ AUTO	R	240.000	1.04	-0.9	a0118.fits	10.202	0.015	2015
2022-05-10 03:44:59.110	AAVSO_ survey_ HQ_ AUTO	R	240.000	1.04	-0.8	a0119.fits	10.254	0.016	2419
2022-05-10 03:49:15.180	AAVSO_ survey_ HQ_ AUTO	R	240.000	1.03	-0.8	a0120.fits	10.290	0.015	2001
2022-05-10 04:31:50.000	AAVSO_ MISC_ HQA_ AUTO	R	240.000	1.02	-0.0	a0139.fits	10.905	0.023	1232
2022-05-10 04:36:15.340	AAVSO_ MISC_ HQA_ AUTO	R	240.000	1.02	0.0	a0140.fits	10.462	0.016	1483
2022-05-10 04:40:31.210	AAVSO_ MISC_ HQA_ AUTO	R	240.000	1.02	0.1	a0141.fits	10.484	0.016	1351

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 02:55:00.700	AAVSO_ survey_ HQ_ AUTO	SI	120.000	1.54	3.5	a0104.fits	Y	3.83	8.977	0.005	3371
2022-05-10 02:57:41.280	AAVSO_ survey_ HQ_ AUTO	R	90.000	1.55	3.6	a0105.fits	Y	3.57	8.698	0.004	4941
2022-05-10 02:59:48.620	AAVSO_ survey_ HQ_ AUTO	V	120.000	1.55	3.6	a0106.fits	Y	4.02	8.463	0.004	5975
2022-05-10 03:02:27.210	AAVSO_ survey_ HQ_ AUTO	B	240.000	1.56	3.6	a0107.fits	Y	3.88	8.007	0.003	9293
2022-05-10 03:06:56.800	AAVSO_ survey_ HQ_ AUTO	B	240.000	1.57	3.7	a0108.fits	Y	3.68	7.976	0.003	10104
2022-05-10 03:11:31.240	AAVSO_ survey_ HQ_ AUTO	V	120.000	1.57	3.8	a0109.fits	Y	3.84	8.462	0.004	5665
2022-05-10 03:14:05.400	AAVSO_ survey_ HQ_ AUTO	R	90.000	1.58	3.8	a0110.fits	Y	3.39	8.678	0.004	5356
2022-05-10 03:16:17.470	AAVSO_ survey_ HQ_ AUTO	SI	120.000	1.58	3.9	a0111.fits	Y	3.39	8.932	0.005	4065

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 09:24:46.490	AAVSO_ survey_ HQ_ AUTO	SI	40.000	1.18	-2.6	a0238.fits	Y	4.74	10.922	0.013	711
2022-05-10 09:25:55.380	AAVSO_ survey_ HQ_ AUTO	R	30.000	1.18	-2.6	a0239.fits	Y	3.72	14.203	0.180	114
2022-05-10 09:26:50.430	AAVSO_ survey_ HQ_ AUTO	V	40.000	1.17	-2.5	a0240.fits	Y	5.30	16.904	2.142	105
2022-05-10 09:28:36.520	AAVSO_ survey_ HQ_ AUTO	B	80.000	1.17	-2.5	a0241.fits	Y	3.69	11.396	0.020	407
2022-05-10 09:30:26.000	AAVSO_ survey_ HQ_ AUTO	B	80.000	1.16	-2.5	a0242.fits	Y	4.41	13.999	0.180	151
2022-05-10 09:32:18.600	AAVSO_ survey_ HQ_ AUTO	V	40.000	1.16	-2.5	a0243.fits	Y	4.33	11.190	0.018	2437
2022-05-10 09:33:31.720	AAVSO_ survey_ HQ_ AUTO	R	30.000	1.16	-2.4	a0244.fits	Y	4.02	11.594	0.021	321
2022-05-10 09:34:41.260	AAVSO_ survey_ HQ_ AUTO	SI	40.000	1.16	-2.4	a0245.fits	Y	4.19	14.564	0.275	309

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 09:06:56.800	AAVSO_ survey_ HQ_ AUTO	SI	80.000	1.25	-3.0	a0230.fits	Y	4.67	6.566	0.001	24980
2022-05-10 09:08:56.480	AAVSO_ survey_ HQ_ AUTO	R	50.000	1.25	-3.0	a0231.fits	Y	3.80	6.599	0.001	38372
2022-05-10 09:10:24.570	AAVSO_ survey_ HQ_ AUTO	V	80.000	1.24	-2.9	a0232.fits	Y	4.35	6.400	0.001	36689
2022-05-10 09:12:21.810	AAVSO_ survey_ HQ_ AUTO	B	180.000	1.23	-2.9	a0233.fits	Y	4.50	5.771	0.001	56559
2022-05-10 09:15:49.050	AAVSO_ survey_ HQ_ AUTO	B	180.000	1.22	-2.9	a0234.fits	Y	3.77	5.758	0.001	58699
2022-05-10 09:19:21.270	AAVSO_ survey_ HQ_ AUTO	V	80.000	1.22	-2.8	a0235.fits	Y	3.83	6.190	0.001	50494
2022-05-10 09:21:13.270	AAVSO_ survey_ HQ_ AUTO	R	50.000	1.21	-2.8	a0236.fits	Y	4.14	6.510	0.001	32274
2022-05-10 09:22:41.390	AAVSO_ survey_ HQ_ AUTO	SI	80.000	1.21	-2.7	a0237.fits	Y	3.87	6.286	0.001	43464

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 05:26:33.890	AAVSO_ P246_ KPRB_ AUTO	B	30.000	1.00	-0.2	a0154.fits	Y	5.47	12.526	0.292	1010
2022-05-10 05:27:20.690	AAVSO_ P246_ KPRB_ AUTO	B	30.000	1.00	-0.2	a0155.fits	Y	5.86	12.334	0.272	753
2022-05-10 05:28:11.650	AAVSO_ P246_ KPRB_ AUTO	V	15.000	1.00	-0.1	a0156.fits	Y	6.61	12.683	0.199	567
2022-05-10 05:28:44.100	AAVSO_ P246_ KPRB_ AUTO	V	15.000	1.00	-0.1	a0157.fits	Y	6.15	15.287	4.851	226
2022-05-10 05:29:15.480	AAVSO_ P246_ KPRB_ AUTO	V	15.000	1.00	-0.1	a0158.fits	Y	5.63	13.169	0.383	513

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 07:50:08.360	AAVSO_ survey_ HQ_ AUTO	V	240.000	1.69	-2.8	a0200.fits	Y	7.07	11.396	0.037	996
2022-05-10 07:54:38.800	AAVSO_ survey_ HQ_ AUTO	V	240.000	1.66	-2.7	a0201.fits	Y	7.09	12.499	0.090	883
2022-05-10 07:59:07.300	AAVSO_ survey_ HQ_ AUTO	V	240.000	1.63	-2.6	a0202.fits	Y	6.29	10.897	0.022	957
2022-05-10 08:03:48.080	AAVSO_ survey_ HQ_ AUTO	SI	120.000	1.62	-2.5	a0203.fits	Y	6.13	11.308	0.022	436
2022-05-10 08:06:12.320	AAVSO_ survey_ HQ_ AUTO	SI	120.000	1.60	-2.5	a0204.fits	Y	5.30	11.208	0.022	495
2022-05-10 08:08:35.700	AAVSO_ survey_ HQ_ AUTO	SI	120.000	1.59	-2.5	a0205.fits	Y	5.49	11.073	0.019	553

DateTime	project_	filter	exp	am	ha	filename	instmag	err	maxadu
2022-05-10 02:48:33.340	AAVSO_ survey_ HQ_ AUTO	SU	60.000	1.27	-0.7	a0101.fits	14.817	0.237	120
2022-05-10 02:50:06.760	AAVSO_ survey_ HQ_ AUTO	SU	60.000	1.27	-0.7	a0102.fits	14.812	0.228	125
2022-05-10 02:51:22.370	AAVSO_ survey_ HQ_ AUTO	SU	60.000	1.27	-0.7	a0103.fits	14.843	0.222	126

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 05:40:22.070	AAVSO_ survey_ HQ_ AUTO	SI	120.000	1.77	-4.9	a0165.fits	Y	6.76	7.703	0.002	6226
2022-05-10 05:43:01.210	AAVSO_ survey_ HQ_ AUTO	R	90.000	1.75	-4.8	a0166.fits	Y	7.32	7.873	0.003	5223
2022-05-10 05:45:08.020	AAVSO_ survey_ HQ_ AUTO	V	120.000	1.74	-4.8	a0167.fits	Y	7.47	8.012	0.003	4567
2022-05-10 05:47:46.380	AAVSO_ survey_ HQ_ AUTO	B	240.000	1.70	-4.7	a0168.fits	Y	6.84	7.873	0.003	5846
2022-05-10 05:52:13.730	AAVSO_ survey_ HQ_ AUTO	B	240.000	1.67	-4.7	a0169.fits	Y	6.54	7.785	0.003	6521
2022-05-10 05:56:46.720	AAVSO_ survey_ HQ_ AUTO	V	120.000	1.66	-4.6	a0170.fits	Y	7.10	8.177	0.003	4958
2022-05-10 05:59:18.090	AAVSO_ survey_ HQ_ AUTO	R	90.000	1.64	-4.6	a0171.fits	Y	7.22	7.805	0.003	5367
2022-05-10 06:01:26.970	AAVSO_ survey_ HQ_ AUTO	SI	120.000	1.63	-4.5	a0172.fits	Y	6.32	7.506	0.002	7579

DateTime	project_	filter	exp	am	ha	filename	instmag	err	maxadu
2022-05-10 04:24:39.720	AAVSO_ survey_ HQ_ AUTO	SU	60.000	1.12	-2.0	a0136.fits	16.529	0.967	84
2022-05-10 04:26:26.840	AAVSO_ survey_ HQ_ AUTO	SU	60.000	1.12	-1.9	a0137.fits
2022-05-10 04:27:42.240	AAVSO_ survey_ HQ_ AUTO	SU	60.000	1.12	-1.9	a0138.fits	16.152	0.678	150

DateTime	project_	filter	exp	am	ha	filename	instmag	err	maxadu
2022-05-10 04:57:53.410	AAVSO_ survey_ HQ_ AUTO	SU	40.000	1.41	-2.9	a0145.fits	16.523	0.973	1459
2022-05-10 04:59:28.270	AAVSO_ survey_ HQ_ AUTO	SU	40.000	1.40	-2.9	a0146.fits	15.526	0.372	44
2022-05-10 05:00:32.170	AAVSO_ survey_ HQ_ AUTO	SU	40.000	1.40	-2.8	a0147.fits	14.053	0.105	396

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 04:46:54.440	AAVSO_ survey_ HQ_ AUTO	SU	150.000	1.67	-2.3	a0142.fits	Y	4.64	17.023	1.604	47
2022-05-10 04:49:58.380	AAVSO_ survey_ HQ_ AUTO	SU	150.000	1.65	-2.3	a0143.fits			17.765	3.194	262
2022-05-10 04:53:10.950	AAVSO_ survey_ HQ_ AUTO	SU	150.000	1.63	-2.2	a0144.fits			16.452	0.954	135

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm
2022-05-10 07:31:28.470	AAVSO_ survey_ HQ_ AUTO	B	80.000	1.87	-1.9	a0194.fits	Y	5.81
2022-05-10 07:33:22.000	AAVSO_ survey_ HQ_ AUTO	V	50.000	1.86	-1.8	a0195.fits	Y	5.50
2022-05-10 07:35:32.950	AAVSO_ survey_ HQ_ AUTO	B	80.000	1.84	-1.8	a0196.fits	Y	5.42
2022-05-10 07:37:26.320	AAVSO_ survey_ HQ_ AUTO	V	50.000	1.84	-1.8	a0197.fits	Y	5.29
2022-05-10 07:39:37.010	AAVSO_ survey_ HQ_ AUTO	B	80.000	1.82	-1.7	a0198.fits	Y	5.27
2022-05-10 07:41:31.970	AAVSO_ survey_ HQ_ AUTO	V	50.000	1.82	-1.7	a0199.fits	Y	5.44

DateTime	project_	filter	exp	am	ha	filename	instmag	err	maxadu
2022-05-10 05:09:13.100	AAVSO_ survey_ HQ_ AUTO	SU	60.000	1.93	5.9	a0148.fits	15.595	0.420	52
2022-05-10 05:11:29.560	AAVSO_ survey_ HQ_ AUTO	SU	60.000	1.94	5.9	a0149.fits	13.836	0.087	2099
2022-05-10 05:12:45.430	AAVSO_ survey_ HQ_ AUTO	SU	60.000	1.95	5.9	a0150.fits	15.469	0.353	65

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm
2022-05-10 06:06:07.700	AAVSO_ survey_ HQ_ AUTO	V	300.000	1.92	-2.2	a0173.fits	Y	5.80
2022-05-10 06:11:29.300	AAVSO_ survey_ HQ_ AUTO	V	300.000	1.89	-2.1	a0174.fits	Y	5.82
2022-05-10 06:16:53.620	AAVSO_ survey_ HQ_ AUTO	V	300.000	1.85	-2.0	a0175.fits	Y	6.75
2022-05-10 06:22:15.210	AAVSO_ survey_ HQ_ AUTO	V	300.000	1.82	-1.9	a0176.fits	Y	6.16
2022-05-10 06:27:36.580	AAVSO_ survey_ HQ_ AUTO	V	300.000	1.80	-1.8	a0177.fits	Y	5.79

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 10:56:02.620	AAVSO_ survey_ HQ_ AUTO	SI	60.000	1.12	-2.0	a0278.fits			9.323	0.007	1284
2022-05-10 10:58:28.970	AAVSO_ survey_ HQ_ AUTO	R	40.000	1.12	-2.0	a0279.fits	Y	8.05	14.945	0.376	139
2022-05-10 10:59:35.790	AAVSO_ survey_ HQ_ AUTO	V	60.000	1.11	-1.9	a0280.fits			11.702	0.026	254
2022-05-10 11:02:31.260	AAVSO_ survey_ HQ_ AUTO	B	120.000	1.11	-1.9	a0281.fits	Y	6.31
2022-05-10 11:05:03.030	AAVSO_ survey_ HQ_ AUTO	B	120.000	1.10	-1.8	a0282.fits	Y	6.31	14.952	0.531	412
2022-05-10 11:07:37.670	AAVSO_ survey_ HQ_ AUTO	V	60.000	1.10	-1.8	a0283.fits	Y	6.94	14.867	0.460	191
2022-05-10 11:09:12.800	AAVSO_ survey_ HQ_ AUTO	R	40.000	1.10	-1.8	a0284.fits	Y	7.35	12.018	0.035	316
2022-05-10 11:10:32.580	AAVSO_ survey_ HQ_ AUTO	SI	60.000	1.10	-1.8	a0285.fits	Y	6.84	15.052	0.535	183

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 08:41:05.920	AAVSO_ survey_ HQ_ AUTO	B	21.030	1.97	-1.3	a0223.fits	Y	5.57	6.099	0.001	59740
2022-05-10 08:41:46.750	AAVSO_ survey_ HQ_ AUTO	V	7.000	1.97	-1.3	a0224.fits	Y	6.12	6.193	0.001	26186
2022-05-10 08:42:13.670	AAVSO_ survey_ HQ_ AUTO	R	4.000	1.97	-1.3	a0225.fits	Y	5.43	6.876	0.002	14644

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 06:40:10.490	AAVSO_ survey_ HQ_ AUTO	V	60.000	1.44	-3.3	a0178.fits	Y	6.27	13.015	0.086	205
2022-05-10 06:41:27.120	AAVSO_ survey_ HQ_ AUTO	V	60.000	1.44	-3.3	a0179.fits			12.904	0.076	233
2022-05-10 06:42:43.800	AAVSO_ survey_ HQ_ AUTO	V	60.000	1.43	-3.2	a0180.fits			12.893	0.071	226

Table of Contents¶

Telescope tmo61 date 220509 (yymmdd)

Warnings and Errors¶

Calibration File Age in Days¶

CCD set point vs operating temperature¶

Pointing Performance¶

Suspected Over Exposed Images¶

Suspected Under Exposed Images¶

Images by Target Object¶

3C_279

AUID 000-BBT-364

AG_Dra

AUID 000-BBW-893

CSS_J212625

AUID None

HD168418

AUID None

HR_Lyr

AUID 000-BCD-522

HS1340+1524

AUID 000-BJN-595

IR_Com

AUID 000-BBT-091

J072816

AUID None

KP_Cyg

AUID 000-BDN-362

KU_Cyg

AUID 000-BCK-946

M3-V154

AUID 000-BLV-345

M5-V42

AUID 000-BLH-612

M56_V6

AUID 000-BMH-901

MN84

AUID 000-BNH-694

Mrk_180

AUID 000-BLN-493

NSV_11154

AUID 000-BJP-367

NSV_11749

AUID 000-BKS-641

PG_1424+240

AUID 000-BLN-494

PG_1553+113

AUID 000-BLN-503

PKS_1222+216

AUID 000-BKZ-094

PKS_1510-089

AUID 000-BJP-436

PNV_17291350

AUID None

PV_Cep

AUID 000-BDC-364

RS_Sge

AUID 000-BCJ-818

S5_0716+714

AUID 000-BBM-945

U_Sco

AUID 000-BBX-412

V1412_Aql

AUID 000-BDF-742

V1687_Cyg

AUID 000-BCV-759

V2492_Cyg

AUID 000-BJW-353

V407_Cyg

AUID 000-BCV-654

V413_Aql

AUID 000-BDD-854

V5631_Sgr

AUID 000-BLX-071

V884_Her

AUID 000-BDB-750

X_Boo

AUID 000-BDB-310

X_Ser

AUID 000-BBX-316

Remark-o-matic Image View¶

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-05-10 04:10:08.640	AAVSO_ survey_ HQ_ AUTO	SI	5.000	1.20	-2.2	a0124.fits			11.344	0.017	884
2022-05-10 04:10:39.030	AAVSO_ survey_ HQ_ AUTO	R	3.000	1.20	-2.1	a0125.fits
2022-05-10 04:11:09.170	AAVSO_ survey_ HQ_ AUTO	V	5.000	1.20	-2.1	a0126.fits			15.948	0.723	462
2022-05-10 04:11:40.740	AAVSO_ survey_ HQ_ AUTO	B	10.000	1.19	-2.1	a0127.fits	Y	3.23	11.098	0.014	625
2022-05-10 04:12:07.240	AAVSO_ survey_ HQ_ AUTO	B	10.000	1.19	-2.1	a0128.fits			8.426	0.003	5556
2022-05-10 04:12:36.850	AAVSO_ survey_ HQ_ AUTO	V	5.000	1.19	-2.1	a0129.fits			15.279	0.444	248
2022-05-10 04:13:08.330	AAVSO_ survey_ HQ_ AUTO	R	3.000	1.19	-2.1	a0130.fits			8.607	0.004	9302
2022-05-10 04:13:38.330	AAVSO_ survey_ HQ_ AUTO	SI	5.000	1.19	-2.1	a0131.fits			8.590	0.004	7202

DateTime	project_	filter	exp	am	ha	filename	instmag	err	maxadu
2022-05-10 05:17:23.380	AAVSO_ survey_ HQ_ AUTO	V	120.000	1.71	-2.9	a0151.fits	15.000	0.641	356
2022-05-10 05:20:15.830	AAVSO_ survey_ HQ_ AUTO	V	120.000	1.69	-2.9	a0152.fits	14.263	0.331	4126
2022-05-10 05:22:32.590	AAVSO_ survey_ HQ_ AUTO	V	120.000	1.67	-2.9	a0153.fits

DateTime	filename	objid	filter	exptime	airmass	hr_ang	has_wcs	fwhm	instmag	err	maxadu	auid	center2obj	JD	ccd_temp	set_temp	img_type	read_mode	binning	fov_radius_amin	image_available
2022-05-10 05:35:04.820	a0161.fits	M5-V42	B	30.0	1.27	-1.6			10.624	0.012	1323	000-BLH-612		9709.73269	-12.0	-12.0	light	Normal	2x2		Y
2022-05-10 05:36:04.530	a0162.fits	M5-V42	V	15.0	1.27	-1.6			10.872	0.021	354	000-BLH-612		9709.73339	-12.0	-12.0	light	Normal	2x2		Y
2022-05-10 05:36:51.730	a0163.fits	M5-V42	V	15.0	1.27	-1.6			16.153	1.127	82	000-BLH-612		9709.73393	-11.9	-12.0	light	Normal	2x2		Y
2022-05-10 05:37:31.360	a0164.fits	M5-V42	V	15.0	1.27	-1.6			12.223	0.037	311	000-BLH-612		9709.73439	-12.0	-12.0	light	Normal	2x2		Y
2022-05-10 05:40:22.070	a0165.fits	NSV_11154	SI	120.0	1.77	-4.9	Y	6.76	7.703	0.002	6226	000-BJP-367	1.503999	9709.73637	-11.9	-12.0	light	Normal	2x2	11.963224	Y

DateTime	filename	objid	filter	exptime	airmass	hr_ang	has_wcs	fwhm	instmag	err	maxadu	auid	center2obj	JD	ccd_temp	set_temp	img_type	read_mode	binning	fov_radius_amin	image_available
2022-05-10 06:46:06.460	a0181.fits	PV_Cep	SU	200.0	1.96	-5.9	Y	5.55	14.941	0.258	176	000-BDC-364	1.790587	9709.78202	-12.0	-12.0	light	Normal	2x2	11.961356	Y
2022-05-10 06:49:53.130	a0182.fits	PV_Cep	SU	200.0	1.94	-5.8	Y	5.07	16.021	0.641	246	000-BDC-364	1.787854	9709.78464	-12.0	-12.0	light	Normal	2x2	11.980328	Y
2022-05-10 06:53:57.480	a0183.fits	PV_Cep	SU	200.0	1.92	-5.8	Y	5.87	15.473	0.414	70	000-BDC-364	1.776022	9709.78747	-11.9	-12.0	light	Normal	2x2	11.950650	Y
2022-05-10 06:57:56.670	a0184.fits	PV_Cep	R	150.0	1.91	-5.7	Y	5.20	11.966	0.049	538	000-BDC-364	1.807995	9709.79024	-11.9	-12.0	light	Normal	2x2	11.946268	Y
2022-05-10 07:00:54.750	a0185.fits	PV_Cep	R	150.0	1.89	-5.7	Y	5.53				000-BDC-364	1.804836	9709.79230	-11.9	-12.0	light	Normal	2x2	11.955479	Y

DateTime	filename	objid	filter	exptime	airmass	hr_ang	has_wcs	fwhm	instmag	err	maxadu	auid	center2obj	JD	ccd_temp	set_temp	img_type	read_mode	binning	fov_radius_amin	image_available
2022-05-10 07:03:52.580	a0186.fits	PV_Cep	R	150.0	1.88	-5.6	Y	6.16	12.282	0.064	514	000-BDC-364	1.799264	9709.79436	-12.0	-12.0	light	Normal	2x2	11.951227	Y
2022-05-10 07:07:03.140	a0187.fits	PV_Cep	SI	60.0	1.87	-5.6	Y	6.41	12.706	0.054	160	000-BDC-364	1.796325	9709.79656	-11.9	-12.0	light	Normal	2x2	11.950550	Y
2022-05-10 07:08:24.620	a0188.fits	PV_Cep	SI	60.0	1.86	-5.5	Y	5.92	99.999	9.999	187	000-BDC-364	1.786375	9709.79751	-12.0	-12.0	light	Normal	2x2	11.959891	Y
2022-05-10 07:09:46.050	a0189.fits	PV_Cep	SI	60.0	1.86	-5.5	Y	7.60	12.917	0.067	158	000-BDC-364	1.783961	9709.79845	-12.0	-12.0	light	Normal	2x2	11.947934	Y
2022-05-10 07:13:02.040	a0190.fits	HR_Lyr	SI	180.0	1.42	-3.6	Y	5.42	11.289	0.023	517	000-BCD-522	2.209293	9709.80072	-12.0	-12.0	light	Normal	2x2	11.944747	Y

DateTime	filename	objid	filter	exptime	airmass	hr_ang	has_wcs	fwhm	instmag	err	maxadu	auid	center2obj	JD	ccd_temp	set_temp	img_type	read_mode	binning	fov_radius_amin	image_available
2022-05-10 08:26:37.860	a0216.fits	NSV_11749	R	60.0	1.51	-2.6	Y	5.57	11.049	0.019	485	000-BKS-641	1.283636	9709.85183	-12.0	-12.0	light	Normal	2x2	11.943951	Y
2022-05-10 08:28:16.660	a0217.fits	NSV_11749	SI	30.0	1.51	-2.6	Y	5.60	15.561	0.670	362	000-BKS-641	1.294762	9709.85297	-12.0	-12.0	light	Normal	2x2	11.954028	Y
2022-05-10 08:29:29.830	a0218.fits	V413_Aql	SI	40.0	1.55	-2.8	Y	5.45	14.825	0.357	573	000-BDD-854	1.410138	9709.85382	-12.0	-12.0	light	Normal	2x2	11.957586	Y
2022-05-10 08:30:38.130	a0219.fits	V413_Aql	R	30.0	1.54	-2.8	Y	7.06	10.352	0.010	1024	000-BDD-854	1.212076	9709.85461	-12.0	-12.0	light	Normal	2x2	11.948424	Y
2022-05-10 08:31:33.010	a0220.fits	V413_Aql	V	40.0	1.53	-2.8			16.449	1.506	147	000-BDD-854		9709.85524	-12.0	-12.0	light	Normal	2x2		Y

DateTime	filename	objid	filter	exptime	airmass	hr_ang	has_wcs	fwhm	instmag	err	maxadu	auid	center2obj	JD	ccd_temp	set_temp	img_type	read_mode	binning	fov_radius_amin	image_available
2022-05-10 08:34:08.900	a0221.fits	V413_Aql	B	80.00	1.51	-2.7	Y	6.00	12.841	0.083	246	000-BDD-854	0.279045	9709.85705	-11.9	-12.0	light	Normal	2x2	11.944964	Y
2022-05-10 08:35:56.360	a0222.fits	V413_Aql	B	80.00	1.50	-2.7	Y	6.28	12.576	0.055	380	000-BDD-854	0.284975	9709.85829	-12.0	-12.0	light	Normal	2x2	11.947470	Y
2022-05-10 08:41:05.920	a0223.fits	V5631_Sgr	B	21.03	1.97	-1.3	Y	5.57	6.099	0.001	59740	000-BLX-071	2.001978	9709.86187	-12.0	-12.0	light	Normal	2x2	11.954179	Y
2022-05-10 08:41:46.750	a0224.fits	V5631_Sgr	V	7.00	1.97	-1.3	Y	6.12	6.193	0.001	26186	000-BLX-071	1.982218	9709.86235	-12.0	-12.0	light	Normal	2x2	11.947643	Y
2022-05-10 08:42:13.670	a0225.fits	V5631_Sgr	R	4.00	1.97	-1.3	Y	5.43	6.876	0.002	14644	000-BLX-071	2.002780	9709.86266	-12.0	-12.0	light	Normal	2x2	11.955538	Y

DateTime	filename	objid	filter	exptime	airmass	hr_ang	has_wcs	fwhm	instmag	err	maxadu	auid	center2obj	JD	ccd_temp	set_temp	img_type	read_mode	binning	fov_radius_amin	image_available
2022-05-10 08:44:52.260	a0226.fits	M56_V6	B	300.0	1.16	-2.4	Y	5.67	10.358	0.087	1598	000-BMH-901	1.659335	9709.86449	-12.0	-12.0	light	Normal	2x2	11.945609	Y
2022-05-10 08:50:23.970	a0227.fits	M56_V6	V	180.0	1.15	-2.3	Y	5.36	10.965	0.207	3173	000-BMH-901	1.638361	9709.86833	-12.0	-12.0	light	Normal	2x2	11.944052	Y
2022-05-10 08:53:57.480	a0228.fits	M56_V6	R	120.0	1.14	-2.3	Y	4.85	11.887	0.297	2111	000-BMH-901	1.635267	9709.87080	-11.9	-12.0	light	Normal	2x2	11.945217	Y
2022-05-10 08:56:37.800	a0229.fits	M56_V6	SI	180.0	1.13	-2.2	Y	4.76	11.954	0.314	2320	000-BMH-901	1.645975	9709.87266	-12.0	-12.0	light	Normal	2x2	11.957581	Y
2022-05-10 09:06:56.800	a0230.fits	KU_Cyg	SI	80.0	1.25	-3.0	Y	4.67	6.566	0.001	24980	000-BCK-946	1.613646	9709.87982	-12.0	-12.0	light	Normal	2x2	11.945462	Y

DateTime	filename	objid	filter	exptime	airmass	hr_ang	has_wcs	fwhm	instmag	err	maxadu	auid	center2obj	JD	ccd_temp	set_temp	img_type	read_mode	binning	fov_radius_amin	image_available
2022-05-10 09:36:53.880	a0246.fits	RS_Sge	SI	20.0	1.18	-2.2	Y	4.18	15.052	0.330	1587	000-BCJ-818	1.723952	9709.90062	-12.0	-12.0	light	Normal	2x2	11.950226	Y
2022-05-10 09:37:40.640	a0247.fits	RS_Sge	R	30.0	1.18	-2.2	Y	3.86	9.111	0.005	3471	000-BCJ-818	1.999321	9709.90116	-12.0	-12.0	light	Normal	2x2	11.930120	Y
2022-05-10 09:38:35.640	a0248.fits	RS_Sge	V	45.0	1.18	-2.2	Y	4.91	9.025	0.005	2568	000-BCJ-818	2.006988	9709.90180	-12.0	-12.0	light	Normal	2x2	11.937308	Y
2022-05-10 09:40:19.570	a0249.fits	RS_Sge	B	90.0	1.17	-2.2	Y	4.44	9.043	0.005	2925	000-BCJ-818	1.692083	9709.90300	-12.0	-12.0	light	Normal	2x2	11.940754	Y
2022-05-10 09:42:18.100	a0250.fits	RS_Sge	B	90.0	1.17	-2.1	Y	4.60	13.181	0.088	240	000-BCJ-818	1.688614	9709.90438	-12.0	-12.0	light	Normal	2x2	11.942281	Y

DateTime	filename	objid	filter	exptime	airmass	hr_ang	has_wcs	fwhm	instmag	err	maxadu	auid	center2obj	JD	ccd_temp	set_temp	img_type	read_mode	binning	fov_radius_amin	image_available
2022-05-10 09:44:24.760	a0251.fits	RS_Sge	V	45.0	1.16	-2.1	Y	3.67	11.590	0.023	3493	000-BCJ-818	1.700653	9709.90584	-12.0	-12.0	light	Normal	2x2	11.927382	Y
2022-05-10 09:46:07.560	a0252.fits	RS_Sge	R	30.0	1.16	-2.1	Y	4.37	9.151	0.005	2631	000-BCJ-818	1.712022	9709.90703	-12.0	-12.0	light	Normal	2x2	11.936019	Y
2022-05-10 09:47:17.110	a0253.fits	RS_Sge	SI	20.0	1.16	-2.1	Y	3.48	15.683	0.614	862	000-BCJ-818	1.691289	9709.90784	-12.0	-12.0	light	Normal	2x2	11.947465	Y
2022-05-10 09:49:14.780	a0254.fits	V1687_Cyg	SI	1.0	1.16	-2.4	Y	2.83	15.656	0.453	43	000-BCV-759	1.614963	9709.90920	-12.0	-12.0	light	Normal	2x2	11.963424	Y
2022-05-10 09:49:42.590	a0255.fits	V1687_Cyg	R	0.5	1.16	-2.4	Y	3.28	16.198	0.733	47	000-BCV-759	1.548912	9709.90952	-12.0	-12.0	light	Normal	2x2	11.946980	Y