Plate image processes (applause_dr4.process)

The table has 110918 rows, 32 columns.

Description

The process table contains data on pyplate's processing of source extraction and astrometric calibration of plate scans. Unique Identifier process_id

Attribution

If you have made substantial use of the data provided by APPLAUSE DR4, kindly include this acknowledgement

Funding for APPLAUSE has been provided by DFG (German Research Foundation, Grant), Leibniz Institute for Astrophysics Potsdam (AIP), Dr. Remeis Sternwarte Bamberg (University Nürnberg/Erlangen), the Hamburger Sternwarte (University of Hamburg) and Tartu Observatory. Plate material also has been made available from Thüringer Landessternwarte Tautenburg, and from the archives of the Vatican Observatory.

Columns

Name	Type	UCD	Unit	Description
process_id	int	meta.id		Process identification number
scan_id	int	meta.id		Scan identification number
plate_id	int	meta.id		Plate identification number
archive_id	int	meta.id		Archive identification number
filename	char	meta.ref meta.fits		Name of the processed file
hostname	char	meta.id		Name of the computer that carried out the plate process
num_exposures	short			Number of exposures of the plate
plate_epoch	float			Decimal year of the plate exposure
timestamp_start	char	time.start time.processing	Time[yyyy-mm-dd hh:mm:ss]	Timestamp of the start of process
timestamp_end	char	time.start time.processing	Time[yyyy-mm-dd hh:mm:ss]	Timestamp of the end of process
duration	int	time.duration	s	Duration of the process
sky	float	phot.count em.opt		Sky background value
sky_sigma	float	stat.stdev phot.count em.opt		Standard deviation of the sky background value
use_psf	short	meta.code		1 if PSF fitting was used in the process, 0 otherwise
threshold	float	phot.count em.opt		Threshold above which sources were detected
num_sources	int	meta.number		Number of sources extracted from the image
num_psf_sources	int	meta.number		Number of sources for which image coordinates were determined using PSF photometry
solved	short	meta.code.status		1 if astrometric solution was found for the image, 0 otherwise
num_true_sources	int			Number of sources classified as true sources (model_prediction > 0.9)
num_artifacts	int			Number of sources classified as artifacts (model_prediction < 0.1)
num_solutions	short			Number of astrometric solutions found for the image
color_term	float	stat.fit.param		Color term of the plate, characterizing color response of the emulsion and filter used, based on the Gaia EDR3 photometry
pattern_ratio	float			Ratio of the scanner pattern amplitude in the y direction to the amplitude in the x direction
bright_limit	float	phot.mag em.opt stat.min	mag	Brightest source magnitude in the plate natural photometric system in the image among calibration stars
num_gaia_edr3	int			Number of matched Gaia EDR3 sources
faint_limit	float	phot.mag em.opt stat.max	mag	Estimated faint limit of the plate in the plate natural photometric system. In case of multiple solutions, the faintest of the individual faint limits.
mag_range	float	phot.mag em.opt arith.diff	mag	Magnitude range between the brightest and faintest source magnitudes in the plate natural photometric system in the image
num_calib	int	meta.number		Number of calibration stars in the image
calibrated	short	meta.code.status		1 if photometric calibration was completed, 0 otherwise
num_iterations	short			Number of iterations in the photometric calibration
completed	short	meta.code.status		1 if process was completed, 0 otherwise
pyplate_version	char	meta.version meta.software		Version number of the PyPlate software used for the process

Access

You can access this table using the query interface and download the results afterwards.

Digital object identifier

You can use the following DOI to cite this table in a publication:

https://doi.org/10.17876/plate/dr.4/8

License

This dataset is published under the CC0 1.0 Universal (CC0 1.0).