PHOTOMETRYPIPELINE: An Automated Pipeline for Calibrated Photometry
  PHOTOMETRYPIPELINE (PP) is an automated pipeline that produces calibrated
photometry from imaging data through image registration, aperture photometry,
photometric calibration, and target identification with only minimal human
interaction. PP utilizes the widely used Source Extractor software for source
identification and aperture photometry; SCAMP is used for image registration.
Both image registration and photometric calibration are based on matching field
stars with star catalogs, requiring catalog coverage of the respective field. A
number of different astrometric and photometric catalogs can be queried online.
Relying on a sufficient number of background stars for image registration and
photometric calibration, PP is well-suited to analyze data from small to
medium-sized telescopes. Calibrated magnitudes obtained by PP are typically
accurate within 0.03 mag and astrometric accuracies are of the order of 0.3
arcsec relative to the catalogs used in the registration. The pipeline consists
of an open-source software suite written in Python 2.7, can be run on
Unix-based systems on a simple desktop machine, and is capable of realtime data
analysis. PP has been developed for observations of moving targets, but can be
used for analyzing point source observations of any kind.
