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

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¶

Weather and Moon information¶

no SOD jpg

CCD set point vs operating temperature¶

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
220707	bias	bsm_tx/bsm_tx1/calibration/220707/bias_temp-5_bin1.fits	-5.0	None	1	None	s3	113	Y
220707	dark	bsm_tx/bsm_tx1/calibration/220707/dark_1.0sec_temp-5_bin1.fits	-5.0	None	1	1.00	s3	113	Y
220707	dark	bsm_tx/bsm_tx1/calibration/220707/dark_3.0sec_temp-5_bin1.fits	-5.0	None	1	3.00	s3	113	Y
220707	dark	bsm_tx/bsm_tx1/calibration/220707/dark_10.0sec_temp-5_bin1.fits	-5.0	None	1	10.00	s3	113	Y
220707	dark	bsm_tx/bsm_tx1/calibration/220707/dark_30.0sec_temp-5_bin1.fits	-5.0	None	1	30.00	s3	113	Y
220707	dark	bsm_tx/bsm_tx1/calibration/220707/dark_100.0sec_temp-5_bin1.fits	-5.0	None	1	100.00	s3	113	Y
220707	dark	bsm_tx/bsm_tx1/calibration/220707/dark_300.0sec_temp-5_bin1.fits	-5.0	None	1	300.00	s3	113	Y
221027	flat	bsm_tx/bsm_tx1/calibration/221027/flatB_bin1.fits	NaN	B	1	None	fs	1	Y
221027	flat	bsm_tx/bsm_tx1/calibration/221027/flatI_bin1.fits	NaN	I	1	None	fs	1	Y
221027	flat	bsm_tx/bsm_tx1/calibration/221027/flatR_bin1.fits	NaN	R	1	None	fs	1	Y
221027	flat	bsm_tx/bsm_tx1/calibration/221027/flatV_bin1.fits	NaN	V	1	None	fs	1	Y
220704	bias	bsm_tx/bsm_tx1/calibration/220704/bias_temp0_bin1.fits	0.0	None	1	None	s3	116
220320	bias	bsm_tx/bsm_tx1/calibration/220320/bias_temp-10_bin1.fits	-10.0	None	1	None	s3	222
220704	dark	bsm_tx/bsm_tx1/calibration/220704/dark_1.0sec_temp0_bin1.fits	0.0	None	1	1.00	s3	116
220704	dark	bsm_tx/bsm_tx1/calibration/220704/dark_3.0sec_temp0_bin1.fits	0.0	None	1	3.00	s3	116
220704	dark	bsm_tx/bsm_tx1/calibration/220704/dark_10.0sec_temp0_bin1.fits	0.0	None	1	10.00	s3	116
220704	dark	bsm_tx/bsm_tx1/calibration/220704/dark_30.0sec_temp0_bin1.fits	0.0	None	1	30.00	s3	116
220704	dark	bsm_tx/bsm_tx1/calibration/220704/dark_100.0sec_temp0_bin1.fits	0.0	None	1	100.00	s3	116
220704	dark	bsm_tx/bsm_tx1/calibration/220704/dark_300.0sec_temp0_bin1.fits	0.0	None	1	300.00	s3	116
220320	dark	bsm_tx/bsm_tx1/calibration/220320/dark_1.0sec_temp-10_bin1.fits	-10.0	None	1	1.00	s3	222
220320	dark	bsm_tx/bsm_tx1/calibration/220320/dark_3.0sec_temp-10_bin1.fits	-10.0	None	1	3.00	s3	222
220320	dark	bsm_tx/bsm_tx1/calibration/220320/dark_10.0sec_temp-10_bin1.fits	-10.0	None	1	10.00	s3	222
220320	dark	bsm_tx/bsm_tx1/calibration/220320/dark_30.0sec_temp-10_bin1.fits	-10.0	None	1	30.00	s3	222
220320	dark	bsm_tx/bsm_tx1/calibration/220320/dark_100.0sec_temp-10_bin1.fits	-10.0	None	1	100.00	s3	222
220320	dark	bsm_tx/bsm_tx1/calibration/220320/dark_300.0sec_temp-10_bin1.fits	-10.0	None	1	300.00	s3	222
221027	flat	bsm_tx/bsm_tx1/calibration/221027/flatSU_bin1.fits	NaN	SU	1	None	fs	1
220219	flat	bsm_tx/bsm_tx1/calibration/220219/flatGR_bin1.fits	-10.0	GR	1	1.03	s3	251

DateTime	project_	objid	filter	exptime	airmass	fwhm	instmag	err	maxadu
2022-10-28 08:21:12.000	AAVSO_ NorthSurvey_ HQ_ AUTO	ST_And	B	40.000	1.62	3.38	9.583	0.054	94
2022-10-28 05:20:32.500	AAVSO_ P115_ ETOA_ AUTO	rho_Cas	V	0.380	1.14		11.636	0.128	792
2022-10-28 10:44:41.000	AAVSO_ P48and60_ SFRA_ AUTO	V_Cam	V	8.840	1.39	2.41	11.298	0.149	27
2022-10-28 01:24:11.000	AAVSO_ P48and60_ SFRA_ AUTO	WZ_Dra	B	60.000	1.47	2.12	9.416	0.058	201

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 04:31:18.500	AAVSO_ P115_ ETOA_ AUTO	B	0.750	1.18	0.2	a0203.fits	Y	3.38	4.563	0.004	6345	10
2022-10-28 04:35:33.500	AAVSO_ P115_ ETOA_ AUTO	V	0.380	1.18	0.2	a0204.fits	Y	2.90	4.711	0.004	4905	20
2022-10-28 04:41:28.000	AAVSO_ P115_ ETOA_ AUTO	I	0.260	1.18	0.3	a0205.fits	Y	3.08	6.168	0.008	984	30

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk	tnimage	OE
2022-10-28 07:16:31.500	AAVSO_ NorthSurvey_ HQ_ AUTO	B	4.300	1.64	2.5	a0307.fits	Y	3.67	3.509	0.002	12914	3
2022-10-28 07:18:50.000	AAVSO_ NorthSurvey_ HQ_ AUTO	V	0.760	1.65	2.5	a0308.fits	Y		3.782	0.003	10172	14

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 11:24:53	AAVSO_ NorthSurvey_ HQ_ AUTO	B	40.000	1.67	4.6	a0430.fits	Y	3.09	4.499	0.004	8764
2022-10-28 11:25:51	AAVSO_ NorthSurvey_ HQ_ AUTO	B	40.000	1.67	4.6	a0431.fits	Y	3.38	4.580	0.004	6161
2022-10-28 11:26:39	AAVSO_ NorthSurvey_ HQ_ AUTO	V	4.590	1.68	4.6	a0432.fits	Y	3.09	4.616	0.004	7405	3

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	nstk
2022-10-28 06:31:36.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	40.000	1.63	4.0	a0280.fits	Y	3.96
2022-10-28 06:32:33.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	40.000	1.64	4.0	a0281.fits	Y	4.25
2022-10-28 06:33:37.500	AAVSO_ NorthSurvey_ HQ_ AUTO	V	6.540	1.64	4.0	a0282.fits	Y		2

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk	tnimage	OE
2022-10-28 08:40:25	AAVSO_ NorthSurvey_ HQ_ AUTO	B	16.460	1.65	3.9	a0350.fits	Y	3.19	3.710	0.003	17875
2022-10-28 08:41:28	AAVSO_ NorthSurvey_ HQ_ AUTO	V	2.490	1.65	3.9	a0351.fits	Y	2.54	4.278	0.004	8335	5

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 09:29:15.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	40.000	1.62	4.4	a0373.fits	Y	4.13	3.879	0.003	10196
2022-10-28 09:30:12.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	40.000	1.63	4.4	a0374.fits	Y	4.15	3.886	0.003	10530
2022-10-28 09:30:53.500	AAVSO_ NorthSurvey_ HQ_ AUTO	V	6.690	1.63	4.4	a0375.fits	Y	3.29	4.254	0.003	10884	2

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk	tnimage	OE
2022-10-28 12:22:15.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	12.830	1.69	4.7	a0463.fits	Y	2.95	3.185	0.002	28733
2022-10-28 12:23:03.500	AAVSO_ NorthSurvey_ HQ_ AUTO	V	4.990	1.69	4.7	a0464.fits	Y	2.31	3.478	0.002	27793	3

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-10-28 12:15:38	AAVSO_ NorthSurvey_ HQ_ AUTO	B	19.120	1.69	4.1	a0457.fits	Y	3.13	2.954	0.002	31723
2022-10-28 12:16:15	AAVSO_ NorthSurvey_ HQ_ AUTO	B	19.120	1.69	4.1	a0458.fits	Y	3.26	2.977	0.002	27126
2022-10-28 12:16:50	AAVSO_ NorthSurvey_ HQ_ AUTO	V	11.500	1.70	4.1	a0459.fits	Y	3.02	3.343	0.002	21484
2022-10-28 12:17:20	AAVSO_ NorthSurvey_ HQ_ AUTO	V	11.500	1.70	4.1	a0460.fits	Y	3.89	3.469	0.002	13572

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk	tnimage	OE
2022-10-28 10:19:12	AAVSO_ NorthSurvey_ HQ_ AUTO	B	9.860	1.62	2.8	a0393.fits	Y	3.28	3.594	0.003	14983	2
2022-10-28 10:20:19	AAVSO_ NorthSurvey_ HQ_ AUTO	V	2.760	1.63	2.8	a0394.fits	Y	3.10	3.274	0.002	20921	4

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk	tnimage	OE
2022-10-28 06:58:45	AAVSO_ NorthSurvey_ HQ_ AUTO	B	28.600	1.69	4.3	a0296.fits	Y	4.34	4.007	0.003	7996
2022-10-28 06:59:33	AAVSO_ NorthSurvey_ HQ_ AUTO	V	4.870	1.69	4.4	a0297.fits	Y	3.80	3.881	0.003	9299	3

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk	tnimage	OE
2022-10-28 07:32:35.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	19.190	1.66	3.1	a0313.fits	Y	3.68	3.533	0.003	14026
2022-10-28 07:33:29.500	AAVSO_ NorthSurvey_ HQ_ AUTO	V	3.150	1.66	3.1	a0314.fits	Y	3.52	3.787	0.003	12560	4

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk	tnimage	OE
2022-10-28 10:25:05.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	12.670	1.63	3.3	a0397.fits	Y	2.93	2.560	0.002	54318
2022-10-28 10:25:44.500	AAVSO_ NorthSurvey_ HQ_ AUTO	V	6.160	1.64	3.3	a0398.fits	Y	2.84	3.014	0.002	35623	2

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 03:03:27.000	AAVSO_ P101_ Dowhos_ AUTO	B	4.000	1.11	0.4	a0156.fits	Y	3.86	7.700	0.017	266	5
2022-10-28 03:05:10.500	AAVSO_ P101_ Dowhos_ AUTO	V	2.000	1.11	0.4	a0157.fits	Y	3.05	8.092	0.021	283	5
2022-10-28 03:06:44.000	AAVSO_ P101_ Dowhos_ AUTO	R	1.500	1.11	0.4	a0158.fits	Y	2.40	8.374	0.024	271	5
2022-10-28 03:08:20.000	AAVSO_ P101_ Dowhos_ AUTO	I	2.000	1.11	0.5	a0159.fits	Y	3.16	9.354	0.038	116	5
2022-10-28 03:10:19.000	AAVSO_ P101_ Dowhos_ AUTO	B	4.000	1.11	0.5	a0160.fits	Y	3.97	7.778	0.018	252	5
2022-10-28 03:12:05.500	AAVSO_ P101_ Dowhos_ AUTO	V	2.000	1.11	0.5	a0161.fits	Y	3.16	8.134	0.021	278	5
2022-10-28 03:13:40.500	AAVSO_ P101_ Dowhos_ AUTO	R	1.500	1.11	0.6	a0162.fits	Y	2.27	8.354	0.024	437	5
2022-10-28 03:15:16.500	AAVSO_ P101_ Dowhos_ AUTO	I	2.000	1.11	0.6	a0163.fits	Y	3.06	9.347	0.038	111	5
2022-10-28 03:17:15.500	AAVSO_ P101_ Dowhos_ AUTO	B	4.000	1.11	0.6	a0164.fits	Y	3.94	7.710	0.017	245	5
2022-10-28 03:19:00.500	AAVSO_ P101_ Dowhos_ AUTO	V	2.000	1.11	0.6	a0165.fits	Y	2.82	8.079	0.021	322	5
2022-10-28 03:20:35.000	AAVSO_ P101_ Dowhos_ AUTO	R	1.500	1.12	0.7	a0166.fits	Y	2.25	8.379	0.024	314	5
2022-10-28 03:22:11.500	AAVSO_ P101_ Dowhos_ AUTO	I	2.000	1.12	0.7	a0167.fits	Y	3.02	9.378	0.039	102	5

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 02:55:29.500	AAVSO_ P104_ Dowhos_ AUTO	B	1.000	1.12	1.8	a0152.fits	Y	4.59	5.411	0.006	1927	5
2022-10-28 02:57:03.000	AAVSO_ P104_ Dowhos_ AUTO	V	0.500	1.12	1.8	a0153.fits	Y	3.73	4.700	0.004	5512	5
2022-10-28 02:58:28.500	AAVSO_ P104_ Dowhos_ AUTO	R	0.250	1.13	1.8	a0154.fits	Y	2.59	4.270	0.004	11329	5
2022-10-28 03:00:14.500	AAVSO_ P104_ Dowhos_ AUTO	I	0.200	1.13	1.8	a0155.fits	Y		4.150	0.003	7628	5

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-10-28 03:28:53	AAVSO_ P93_ JKALEN_ AUTO	B	80.000	1.02	0.2	a0168.fits	Y	1.95	6.529	0.010	2904
2022-10-28 03:30:30	AAVSO_ P93_ JKALEN_ AUTO	B	80.000	1.03	0.3	a0169.fits	Y	1.90	6.542	0.010	2765
2022-10-28 03:31:32	AAVSO_ P93_ JKALEN_ AUTO	V	40.000	1.03	0.3	a0170.fits	Y	1.83	4.419	0.004	20138
2022-10-28 03:32:29	AAVSO_ P93_ JKALEN_ AUTO	V	40.000	1.03	0.3	a0171.fits	Y	2.03	4.392	0.004	16953
2022-10-28 03:32:58	AAVSO_ P93_ JKALEN_ AUTO	R	10.000	1.03	0.3	a0172.fits	Y	1.77	4.955	0.005	13514
2022-10-28 03:33:25	AAVSO_ P93_ JKALEN_ AUTO	R	10.000	1.03	0.3	a0173.fits	Y	1.77	4.933	0.005	12557
2022-10-28 03:33:55	AAVSO_ P93_ JKALEN_ AUTO	I	10.000	1.03	0.3	a0174.fits	Y	1.69	5.413	0.006	6839
2022-10-28 03:34:21	AAVSO_ P93_ JKALEN_ AUTO	I	10.000	1.03	0.3	a0175.fits	Y	1.85	5.413	0.006	6016
2022-10-28 03:34:47	AAVSO_ P93_ JKALEN_ AUTO	I	10.000	1.03	0.3	a0176.fits	Y	1.82	5.423	0.006	5770
2022-10-28 03:35:14	AAVSO_ P93_ JKALEN_ AUTO	I	10.000	1.03	0.3	a0177.fits	Y	1.95	5.377	0.006	6677
2022-10-28 03:35:45	AAVSO_ P93_ JKALEN_ AUTO	R	10.000	1.03	0.3	a0178.fits	Y	1.71	4.942	0.005	12517
2022-10-28 03:36:12	AAVSO_ P93_ JKALEN_ AUTO	R	10.000	1.03	0.3	a0179.fits	Y	1.73	4.941	0.005	14892
2022-10-28 03:37:10	AAVSO_ P93_ JKALEN_ AUTO	V	40.000	1.03	0.4	a0180.fits	Y	1.79	4.398	0.004	23329
2022-10-28 03:38:06	AAVSO_ P93_ JKALEN_ AUTO	V	40.000	1.03	0.4	a0181.fits	Y	1.93	4.393	0.004	21146
2022-10-28 03:39:47	AAVSO_ P93_ JKALEN_ AUTO	B	80.000	1.03	0.4	a0182.fits	Y	1.98	6.511	0.010	3168
2022-10-28 03:41:23	AAVSO_ P93_ JKALEN_ AUTO	B	80.000	1.03	0.4	a0183.fits	Y	1.94	6.519	0.010	3693

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm
2022-10-28 04:46:37	AAVSO_ P141_ SPP_ AUTO	I	40.000	1.17	0.3	a0206.fits	Y	4.54
2022-10-28 04:47:35	AAVSO_ P141_ SPP_ AUTO	I	40.000	1.17	0.3	a0207.fits	Y	4.65
2022-10-28 04:48:31	AAVSO_ P141_ SPP_ AUTO	I	40.000	1.17	0.3	a0208.fits	Y	4.86
2022-10-28 04:49:28	AAVSO_ P141_ SPP_ AUTO	I	40.000	1.17	0.3	a0209.fits	Y	4.57
2022-10-28 04:50:21	AAVSO_ P141_ SPP_ AUTO	R	30.000	1.17	0.4	a0210.fits	Y	4.06
2022-10-28 04:51:09	AAVSO_ P141_ SPP_ AUTO	R	30.000	1.17	0.4	a0211.fits	Y	3.87
2022-10-28 04:51:57	AAVSO_ P141_ SPP_ AUTO	R	30.000	1.17	0.4	a0212.fits	Y	4.78
2022-10-28 04:52:44	AAVSO_ P141_ SPP_ AUTO	R	30.000	1.17	0.4	a0213.fits	Y	4.80
2022-10-28 04:53:34	AAVSO_ P141_ SPP_ AUTO	V	30.000	1.17	0.4	a0214.fits	Y	4.92
2022-10-28 04:54:21	AAVSO_ P141_ SPP_ AUTO	V	30.000	1.17	0.4	a0215.fits	Y	5.18
2022-10-28 04:55:09	AAVSO_ P141_ SPP_ AUTO	V	30.000	1.17	0.4	a0216.fits	Y	5.72
2022-10-28 04:55:56	AAVSO_ P141_ SPP_ AUTO	V	30.000	1.17	0.5	a0217.fits	Y	5.12
2022-10-28 04:56:57	AAVSO_ P141_ SPP_ AUTO	B	40.000	1.17	0.5	a0218.fits	Y	6.32
2022-10-28 04:57:53	AAVSO_ P141_ SPP_ AUTO	B	40.000	1.17	0.5	a0219.fits	Y	6.15
2022-10-28 04:58:51	AAVSO_ P141_ SPP_ AUTO	B	40.000	1.17	0.5	a0220.fits	Y	6.26
2022-10-28 04:59:48	AAVSO_ P141_ SPP_ AUTO	B	40.000	1.17	0.5	a0221.fits	Y	5.87
2022-10-28 05:00:45	AAVSO_ P141_ SPP_ AUTO	B	40.000	1.17	0.5	a0222.fits	Y	5.97
2022-10-28 05:01:42	AAVSO_ P141_ SPP_ AUTO	B	40.000	1.17	0.5	a0223.fits	Y	6.18
2022-10-28 05:02:39	AAVSO_ P141_ SPP_ AUTO	B	40.000	1.17	0.6	a0224.fits	Y	5.92
2022-10-28 05:03:37	AAVSO_ P141_ SPP_ AUTO	B	40.000	1.17	0.6	a0225.fits	Y	6.03
2022-10-28 05:04:29	AAVSO_ P141_ SPP_ AUTO	V	30.000	1.17	0.6	a0226.fits	Y	5.42
2022-10-28 05:05:17	AAVSO_ P141_ SPP_ AUTO	V	30.000	1.17	0.6	a0227.fits	Y	5.60
2022-10-28 05:06:04	AAVSO_ P141_ SPP_ AUTO	V	30.000	1.17	0.6	a0228.fits	Y	5.64
2022-10-28 05:06:52	AAVSO_ P141_ SPP_ AUTO	V	30.000	1.17	0.6	a0229.fits	Y	5.56
2022-10-28 05:07:41	AAVSO_ P141_ SPP_ AUTO	R	30.000	1.17	0.6	a0230.fits	Y	4.84
2022-10-28 05:08:30	AAVSO_ P141_ SPP_ AUTO	R	30.000	1.17	0.7	a0231.fits	Y	4.51
2022-10-28 05:09:17	AAVSO_ P141_ SPP_ AUTO	R	30.000	1.17	0.7	a0232.fits	Y	4.58
2022-10-28 05:10:04	AAVSO_ P141_ SPP_ AUTO	R	30.000	1.17	0.7	a0233.fits	Y	4.89
2022-10-28 05:11:05	AAVSO_ P141_ SPP_ AUTO	I	40.000	1.17	0.7	a0234.fits	Y	5.81
2022-10-28 05:12:02	AAVSO_ P141_ SPP_ AUTO	I	40.000	1.17	0.7	a0235.fits	Y	5.61
2022-10-28 05:12:59	AAVSO_ P141_ SPP_ AUTO	I	40.000	1.17	0.7	a0236.fits	Y	5.84
2022-10-28 05:13:56	AAVSO_ P141_ SPP_ AUTO	I	40.000	1.17	0.8	a0237.fits	Y	5.71

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 02:34:13.000	AAVSO_ P105_ Dowhos_ AUTO	B	2.000	1.20	2.6	a0136.fits	Y	3.48	5.364	0.006	2422	5
2022-10-28 02:35:48.000	AAVSO_ P105_ Dowhos_ AUTO	V	1.000	1.20	2.7	a0137.fits	Y	3.02	5.753	0.007	2429	5
2022-10-28 02:37:17.000	AAVSO_ P105_ Dowhos_ AUTO	R	0.750	1.20	2.7	a0138.fits	Y	2.23	6.034	0.008	2873	5
2022-10-28 02:38:44.000	AAVSO_ P105_ Dowhos_ AUTO	I	0.750	1.21	2.7	a0139.fits	Y	2.75	8.039	0.020	634	5
2022-10-28 02:40:30.000	AAVSO_ P105_ Dowhos_ AUTO	B	2.000	1.21	2.7	a0140.fits	Y	3.61	5.415	0.006	2105	5
2022-10-28 02:42:07.500	AAVSO_ P105_ Dowhos_ AUTO	V	1.000	1.22	2.8	a0141.fits	Y	3.13	5.775	0.007	2168	5
2022-10-28 02:43:36.000	AAVSO_ P105_ Dowhos_ AUTO	R	0.750	1.22	2.8	a0142.fits	Y	2.37	6.025	0.008	2880	5
2022-10-28 02:45:04.500	AAVSO_ P105_ Dowhos_ AUTO	I	0.750	1.23	2.8	a0143.fits	Y	2.93	7.454	0.015	519	5

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk	tnimage	OE
2022-10-28 10:27:33.500	AAVSO_ NorthSurvey_ HQ_ AUTO	B	9.440	1.54	3.0	a0399.fits	Y	3.46	3.500	0.002	18039	2
2022-10-28 10:28:49.000	AAVSO_ NorthSurvey_ HQ_ AUTO	V	2.130	1.55	3.0	a0400.fits	Y	3.16	3.431	0.002	18995	5

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 06:06:33.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	13.220	1.70	4.1	a0264.fits	Y	4.27	3.925	0.003	8689
2022-10-28 06:07:02.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	13.220	1.70	4.1	a0265.fits	Y	4.09	3.672	0.003	12041
2022-10-28 06:07:42.500	AAVSO_ NorthSurvey_ HQ_ AUTO	V	6.530	1.70	4.2	a0266.fits	Y	3.70	4.999	0.005	3564	2

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 10:15:55	AAVSO_ NorthSurvey_ HQ_ AUTO	B	30.430	1.61	2.6	a0390.fits	Y	3.21	3.306	0.002	21576
2022-10-28 10:16:42	AAVSO_ NorthSurvey_ HQ_ AUTO	B	30.430	1.61	2.6	a0391.fits	Y	3.50	3.359	0.002	18636
2022-10-28 10:17:23	AAVSO_ NorthSurvey_ HQ_ AUTO	V	6.750	1.61	2.6	a0392.fits	Y	3.11	3.926	0.003	10464	2

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk	tnimage	OE
2022-10-28 06:55:19	AAVSO_ NorthSurvey_ HQ_ AUTO	B	7.680	1.66	4.5	a0294.fits	Y	4.65	4.296	0.004	5686	2
2022-10-28 06:56:25	AAVSO_ NorthSurvey_ HQ_ AUTO	V	3.730	1.66	4.5	a0295.fits	Y	3.77	3.904	0.003	10090	3

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk	tnimage	OE
2022-10-28 07:56:11.500	AAVSO_ NorthSurvey_ HQ_ AUTO	B	1.440	1.65	4.5	a0325.fits	Y	3.55	2.790	0.002	39493	7
2022-10-28 07:58:57.500	AAVSO_ NorthSurvey_ HQ_ AUTO	V	0.960	1.66	4.5	a0326.fits	Y	2.22	3.314	0.002	20214	11

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk	tnimage	OE
2022-10-28 06:26:18	AAVSO_ NorthSurvey_ HQ_ AUTO	B	2.360	1.63	3.6	a0278.fits	Y	4.46	2.333	0.001	34242	5
2022-10-28 06:28:34	AAVSO_ NorthSurvey_ HQ_ AUTO	V	1.160	1.65	3.6	a0279.fits	Y		3.915	0.003	8264	9

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 11:13:14.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	40.000	1.66	4.6	a0421.fits	Y	3.24	4.350	0.004	8630
2022-10-28 11:14:11.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	40.000	1.67	4.6	a0422.fits	Y	3.28	4.328	0.004	9085
2022-10-28 11:14:52.500	AAVSO_ NorthSurvey_ HQ_ AUTO	V	6.740	1.67	4.6	a0423.fits	Y	2.98	3.958	0.003	14866	2

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 08:11:40.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	13.580	1.68	4.5	a0332.fits	Y	3.18	4.147	0.003	26535
2022-10-28 08:12:10.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	13.580	1.68	4.5	a0333.fits	Y	3.03	4.171	0.003	27291
2022-10-28 08:12:48.500	AAVSO_ NorthSurvey_ HQ_ AUTO	V	5.070	1.68	4.5	a0334.fits	Y	2.34	4.246	0.003	28094	2

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk	tnimage	OE
2022-10-28 07:01:47	AAVSO_ NorthSurvey_ HQ_ AUTO	B	4.060	1.65	4.5	a0298.fits	Y	3.99	3.872	0.003	10314	3
2022-10-28 07:04:27	AAVSO_ NorthSurvey_ HQ_ AUTO	V	0.680	1.65	4.5	a0299.fits	Y	3.21	4.054	0.003	8076	15

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 08:37:17.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	30.490	1.64	3.9	a0347.fits	Y	3.43	3.857	0.003	14277
2022-10-28 08:38:05.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	30.490	1.64	3.9	a0348.fits	Y	3.14	3.845	0.003	17821
2022-10-28 08:38:44.500	AAVSO_ NorthSurvey_ HQ_ AUTO	V	6.470	1.65	3.9	a0349.fits	Y	2.45	3.711	0.003	28230	2

Table of Contents¶

Telescope bsm_tx date 221027 (yymmdd)

Warnings and Errors¶

Calibration File Age in Days¶

Weather and Moon information¶

CCD set point vs operating temperature¶

Pointing Performance¶

Suspected Over Exposed Images¶

Suspected Under Exposed Images¶

Images by Target Object¶

6_Cas

AUID 000-BCS-000

AD_Cet

AUID 000-BBB-335

AD_Per

AUID 000-BCW-759

ASAS_J220040+26280

AUID None

BW_Psc

AUID 000-BFC-707

BZ_And

AUID 000-BCT-513

CC_Cas

AUID 000-BDJ-604

CU_Cam

AUID 000-BDH-370

CV_Eri

AUID 000-BCV-898

DM_Cep

AUID 000-BCQ-016

DQ_Psc

AUID 000-BCS-245

DX_Cet

AUID 000-BCV-454

EE_CEP

AUID 000-BCQ-039

EH_Cet

AUID 000-BCY-907

EI_Cep

AUID 000-BCV-392

EL_Eri

AUID 000-BDQ-612

EM_Cep

AUID 000-BDL-260

EU_Del

AUID 000-BCM-022

EW_Lac

AUID 000-BCR-002

IN_Peg

AUID 000-BCW-708

IV_Peg

AUID 000-BFB-902

KK_Per

AUID 000-BCW-775

KZ_And

AUID 000-BCT-531

MO_Cep

AUID 000-BCP-881

NGC_7790

AUID None

NQ_Peg

AUID 000-BCW-712

NSV_14708

AUID 000-BJH-065

OT_And

AUID 000-BCT-534

RR_Lyr

AUID 000-BCG-719

R_Aqr

AUID 000-BCR-898

R_Aur

AUID 000-BBJ-127

R_Lyn

AUID 000-BBM-269

R_Sct

AUID 000-BCD-304

ST_And

AUID 000-BCR-762

ST_Cyg

AUID 000-BCL-775

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 08:17:40.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	30.450	1.63	4.0	a0338.fits	Y	3.07	3.822	0.003	20613
2022-10-28 08:18:27.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	30.450	1.64	4.0	a0339.fits	Y	3.24	3.848	0.003	15604
2022-10-28 08:19:07.500	AAVSO_ NorthSurvey_ HQ_ AUTO	V	6.560	1.64	4.0	a0340.fits	Y	2.44	3.906	0.003	20839	2

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 08:14:23.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	10.340	1.66	4.4	a0335.fits	Y	3.16	3.219	0.002	30738
2022-10-28 08:14:50.000	AAVSO_ NorthSurvey_ HQ_ AUTO	B	10.340	1.66	4.4	a0336.fits	Y	2.98	3.118	0.002	37129
2022-10-28 08:15:36.500	AAVSO_ NorthSurvey_ HQ_ AUTO	V	3.910	1.67	4.4	a0337.fits	Y	2.47	3.929	0.003	21327	3

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 04:21:37.000	AAVSO_ P48and60_ SFRA_ AUTO	B	40.000	1.43	0.1	a0197.fits	Y	3.29	6.104	0.008	1499
2022-10-28 04:22:34.000	AAVSO_ P48and60_ SFRA_ AUTO	B	40.000	1.43	0.1	a0198.fits	Y	3.26	6.091	0.008	1591
2022-10-28 04:23:08.000	AAVSO_ P48and60_ SFRA_ AUTO	V	12.030	1.43	0.2	a0199.fits	Y	2.54	5.818	0.007	3302
2022-10-28 04:23:36.000	AAVSO_ P48and60_ SFRA_ AUTO	V	12.030	1.43	0.2	a0200.fits	Y	2.55	5.820	0.007	3355
2022-10-28 04:24:39.000	AAVSO_ P48and60_ SFRA_ AUTO	R	3.030	1.43	0.2	a0201.fits	Y	2.39	5.150	0.005	5820	5
2022-10-28 04:27:02.500	AAVSO_ P48and60_ SFRA_ AUTO	I	1.540	1.43	0.2	a0202.fits	Y		4.789	0.004	5439	10

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 09:55:21.000	AAVSO_ P48and60_ SFRA_ AUTO	B	20.180	1.09	0.1	a0380.fits	Y	2.64	7.978	0.021	404
2022-10-28 09:55:58.000	AAVSO_ P48and60_ SFRA_ AUTO	B	20.180	1.09	0.2	a0381.fits	Y	2.48	7.941	0.021	512
2022-10-28 09:56:53.000	AAVSO_ P48and60_ SFRA_ AUTO	V	3.130	1.09	0.2	a0382.fits	Y	2.32	7.902	0.019	466	4
2022-10-28 09:59:02.500	AAVSO_ P48and60_ SFRA_ AUTO	R	1.020	1.09	0.2	a0383.fits	Y	2.36	6.331	0.009	1556	10
2022-10-28 10:02:40.000	AAVSO_ P48and60_ SFRA_ AUTO	I	0.690	1.09	0.2	a0384.fits	Y	2.88	5.234	0.005	3952	15

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 11:40:05.000	AAVSO_ P48and60_ SFRA_ AUTO	B	80.000	1.10	0.2	a0435.fits	Y	2.79	2.952	0.002	52228
2022-10-28 11:41:42.000	AAVSO_ P48and60_ SFRA_ AUTO	B	80.000	1.10	0.2	a0436.fits	Y	2.83	2.953	0.002	56366
2022-10-28 11:42:28.000	AAVSO_ P48and60_ SFRA_ AUTO	V	22.880	1.10	0.2	a0437.fits	Y	2.66	2.452	0.002	60272
2022-10-28 11:43:08.000	AAVSO_ P48and60_ SFRA_ AUTO	V	22.880	1.10	0.2	a0438.fits	Y	2.80	2.432	0.002	60272
2022-10-28 11:44:14.500	AAVSO_ P48and60_ SFRA_ AUTO	R	4.590	1.10	0.2	a0439.fits	Y	1.99	3.029	0.002	54463	5
2022-10-28 11:45:56.500	AAVSO_ P48and60_ SFRA_ AUTO	I	2.000	1.10	0.2	a0440.fits	Y	2.11	3.910	0.003	23402	5
2022-10-28 11:47:31.000	AAVSO_ P48and60_ SFRA_ AUTO	I	2.000	1.10	0.3	a0441.fits	Y	2.16	3.927	0.003	23123	5

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 02:10:32.000	AAVSO_ P95_ MSD_ AUTO	B	2.330	1.72	2.9	a0123.fits	Y	3.82	3.704	0.003	13738	6
2022-10-28 02:13:31.500	AAVSO_ P95_ MSD_ AUTO	V	0.750	1.74	2.9	a0124.fits	Y	3.18	3.709	0.003	12867	14
2022-10-28 02:18:36.000	AAVSO_ P95_ MSD_ AUTO	R	0.470	1.77	3.0	a0125.fits	Y	2.30	3.705	0.003	13793	22
2022-10-28 02:24:04.500	AAVSO_ P95_ MSD_ AUTO	I	0.630	1.82	3.1	a0126.fits	Y	2.80	4.321	0.004	7895	16

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu
2022-10-28 08:21:12	AAVSO_ NorthSurvey_ HQ_ AUTO	B	40.000	1.62	4.2	a0341.fits	Y	3.38	9.583	0.054	94
2022-10-28 08:22:10	AAVSO_ NorthSurvey_ HQ_ AUTO	B	40.000	1.63	4.2	a0342.fits	Y	3.36	9.664	0.058	94
2022-10-28 08:22:52	AAVSO_ NorthSurvey_ HQ_ AUTO	V	20.000	1.63	4.2	a0343.fits	Y	2.77	5.674	0.007	4576
2022-10-28 08:23:29	AAVSO_ NorthSurvey_ HQ_ AUTO	V	20.000	1.64	4.3	a0344.fits	Y	2.56	5.664	0.007	5326

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 01:47:47.000	AAVSO_ P48and60_ SFRA_ AUTO	B	120.000	1.11	0.7	a0113.fits	Y	2.63	5.471	0.006	6299
2022-10-28 01:50:21.000	AAVSO_ P48and60_ SFRA_ AUTO	B	120.000	1.11	0.8	a0114.fits	Y	2.61	5.470	0.006	6646
2022-10-28 01:51:05.000	AAVSO_ P48and60_ SFRA_ AUTO	V	20.000	1.11	0.8	a0115.fits	Y	1.99	5.806	0.007	6714
2022-10-28 01:51:42.000	AAVSO_ P48and60_ SFRA_ AUTO	V	20.000	1.11	0.8	a0116.fits	Y	1.92	5.824	0.007	7736
2022-10-28 01:52:46.500	AAVSO_ P48and60_ SFRA_ AUTO	R	4.000	1.11	0.8	a0117.fits	Y	1.70	5.859	0.007	5292	5
2022-10-28 01:54:16.000	AAVSO_ P48and60_ SFRA_ AUTO	I	6.000	1.11	0.8	a0118.fits	Y	2.03	4.561	0.004	11277	3

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 11:17:06.500	AAVSO_ P77_ Henden_ AUTO	V	3.750	1.10	0.1	a0424.fits	Y	2.26	5.069	0.005	6430	3
2022-10-28 11:17:57.000	AAVSO_ P77_ Henden_ AUTO	B	10.000	1.10	0.1	a0425.fits	Y	2.73	5.746	0.007	3165
2022-10-28 11:18:23.000	AAVSO_ P77_ Henden_ AUTO	B	10.000	1.10	0.1	a0426.fits	Y	2.96	5.767	0.007	2884
2022-10-28 11:18:50.000	AAVSO_ P77_ Henden_ AUTO	B	10.000	1.10	0.1	a0427.fits	Y	2.69	5.721	0.007	3671
2022-10-28 11:19:48.000	AAVSO_ P77_ Henden_ AUTO	R	1.250	1.10	0.1	a0428.fits	Y	2.30	5.016	0.005	7744	5
2022-10-28 11:21:34.500	AAVSO_ P77_ Henden_ AUTO	I	0.500	1.10	0.1	a0429.fits	Y	2.29	5.412	0.006	4187	7

DateTime	project_	filter	exp	am	ha	filename	wcs	fwhm	instmag	err	maxadu	nstk
2022-10-28 05:53:35.000	AAVSO_ P48and60_ SFRA_ AUTO	B	40.000	1.35	0.1	a0253.fits	Y	4.34	7.420	0.016	309
2022-10-28 05:54:32.000	AAVSO_ P48and60_ SFRA_ AUTO	B	40.000	1.35	0.1	a0254.fits	Y	4.23	7.378	0.015	353
2022-10-28 05:55:15.000	AAVSO_ P48and60_ SFRA_ AUTO	V	20.000	1.35	0.1	a0255.fits	Y	3.64	5.181	0.005	3415
2022-10-28 05:55:52.000	AAVSO_ P48and60_ SFRA_ AUTO	V	20.000	1.35	0.1	a0256.fits	Y	4.38	5.309	0.006	2127
2022-10-28 05:56:55.000	AAVSO_ P48and60_ SFRA_ AUTO	R	4.000	1.35	0.1	a0257.fits	Y	3.42	5.915	0.008	1677	5
2022-10-28 05:58:42.500	AAVSO_ P48and60_ SFRA_ AUTO	I	2.000	1.35	0.1	a0258.fits	Y	3.68	6.334	0.009	914	5
2022-10-28 06:00:03.000	AAVSO_ P48and60_ SFRA_ AUTO	I	2.000	1.35	0.2	a0259.fits	Y		5.751	0.007	1856	5