Major changes to the pipeline since 2016-10-01 (see Mommert 2017) are documented here.

  • 2018-12-02: major overhaul of diagnostic output
  • 2018-11-23: implementation of, which will eventually replace; photometric catalog data used in the photometric calibration can now by output as ascii table and/or into final .db file; pillow has been replaced by skimage; pandas is now a required Python module
  • 2017-11-24: implementation of -solar option in pp_run and pp_calibrate to obtain photometric calibration only from stars with Sun-like colors
  • 2017-10-20: implementation of pp_stackedphotometry, providing automated image stacking and subsequent photometry
  • 2017-10-04: implementation of pp_combine, which enables automated image combination
  • 2017-08-29: implementation of Gaia/TGAS as an alternative astrometric catalog for shallow widefield observations
  • 2017-06-01: extraction of serendipitously observed targets (asteroids and variable stars) implemented in pp_distill
  • 2017-03-19: if no filtername is provided (None) or the -instrumental option of pp_calibrate is used, pp_run will complete all pipeline tasks using these instrumental magnitudes
  • 2017-03-16: implementation of Pan-STARRS DR1 for the photometric calibration; currently, PP uses a home-built access of MAST at STScI, which is limited to catalog queries with a maximum cone radius of 0.5 deg; please note that this kind of query is rather slow compared to Vizier queries of SDSS or APASS
  • 2017-02-24: pillow is now a required python module; the pipeline now supports default distortion parameters for wide-field cameras
  • 2017-02-04: is now an astropy.table, catalog downloads using astroquery.vizier (no effect to the user), pp now supports Gaia DR1 (CMC, USNOB1, and PPMX have been removed)