The table has 70730 rows, 31 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 DR3, 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.
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 |
|
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 |
|
astrom_sub_total | int | meta.number |
Number of sub-fields that were visited for improved astrometric solution |
|
astrom_sub_eff | int | meta.number |
Number of sub-fields in which improved astrometric solution was applied to source coordinates |
|
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) |
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 |
|
phot_sub_total | int | meta.number |
Number of sub-fields that were visited for improved photometric calibration |
|
phot_sub_eff | int | meta.number |
Number of sub-fields in which improved photometric calibration was applied to sources |
|
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 |