Using pyplate

Working with metadata

An archive is a collection of photographic plates, logbooks, observer notes, etc. In pyplate, an archive is represented with ArchiveMeta class in the metadata module. An individual plate is represented with PlateMeta and a FITS header with PlateHeader class.

Initialise an archive:

import pyplate

archive = pyplate.metadata.ArchiveMeta()

Importing metadata from files

Metadata can be conveniently imported from the Wide-Field Plate Database (WFPDB) files and comma-separated values (CSV) files.

Import metadata from WFPDB files:

                   fn_maindata='maindata.txt', fn_quality='quality.txt',
                   fn_notes='notes.txt', fn_observer='observer.txt')

Import metadata from CSV files:

archive.read_csv(csv_dir='/path/to/csv_dir', fn_plate_csv='plates.csv',
                 fn_scan_csv='scans.csv', fn_logpage_csv='logpages.csv')

Creating and managing a FITS header

Create an empty header:

pheader = pyplate.metadata.PlateHeader()

Create header from a FITS file:

pheader = pyplate.metadata.PlateHeader.from_fits('/path/to/file.fits')

Create header from a text file that contains a FITS header:

pheader = pyplate.metadata.PlateHeader.from_hdrf('/path/to/file.hdrf')

Update header with metadata:

pmeta = pyplate.metadata.PlateMeta()

Configure input and output directories:

pheader.fits_dir = '/path/to/fits_dir'
pheader.write_fits_dir = '/path/to/write_fits_dir'
pheader.write_header_dir = '/path/to/write_header_dir'

Write header to a FITS file in write_fits_dir:


If the FITS file exists, then its header is updated with pheader. If the file does not exist, pyplate assumes that the file with the same name exists in fits_dir. The file is then opened for reading and an output file is written to write_fits_dir with the current header.

Write header to a text file in write_header_dir:


Extracting sources from a plate image and solving astrometry

Initialise plate process:

proc = pyplate.solve.SolveProcess('file.fits')

Configure process:

proc.fits_dir = '/path/to/fits_dir'
proc.tycho2_dir = '/path/to/tycho2_dir'
proc.work_dir = '/path/to/work_dir'
proc.write_source_dir = '/path/to/write_source_dir'
proc.write_wcs_dir = '/path/to/write_wcs_dir'
proc.write_log_dir = '/path/to/write_log_dir'

Alternatively, specify a configuration file or pass a variable containing configuration:


# Use ArchiveMeta configuration instead

Set up process:


Extract sources:


Finish process:


Writing data to database

Creating a pipeline