Archives of Photographic PLates for Astronomical USE

Processing table (applause_dr2.process)

The table has 45067 rows, 25 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 DR2, 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 Nuernberg/Erlangen), the Hamburger Sternwarte (University of Hamburg) and Tartu 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

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

solved short meta.code.status

1 if astrometric solution was found for the image, 0 otherwise

num_ucac4 int meta.number

Number of matched UCAC4 catalogue objects

num_tycho2 int meta.number

Number of matched Tycho-2 catalogue objects

num_apass int meta.number

Number of matched APASS DR9 catalogue objects

color_term float stat.fit.param

Color term of the plate, characterizing color response of the emulsion and filter used

bright_limit float phot.mag
em.opt
stat.min
mag

Brightest source magnitude in the plate natural photometric system in the image (annular bin < 9)

faint_limit float phot.mag
em.opt
stat.max
mag

Faintest source magnitude in the plate natural photometric system in the image (annular bin < 9)

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 (annular bin < 9)

calibrated short meta.code.status

1 if photometric calibration was completed, 0 otherwise

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