ACS Pipeline Calibrations Using PyDrizzle

Details ACS Pipeline Calibrations Using PyDrizzle ACS Pipeline Calibrations Using PyDrizzle

Dec 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002aas...201.4104v&link_type=abstract

American Astronomical Society, 201st AAS Meeting, #41.04; Bulletin of the American Astronomical Society, Vol. 34, p.1164

Astronomy and Astrophysics

Astronomy

Scientific paper

The ACS calibration pipeline routinely processes all ACS data using the best available calibration products, including distortion correction and dither-combination using the drizzle task. PyDrizzle was written in Python to automate the operation of drizzle to facilitate use in an automated pipeline environment. It uses the drizzle task to correct for geometric distortion in all ACS observations in order to produce a image which is photometrically and astrometrically correct across the image's entire field-of-view. This paper describes how PyDrizzle automated the use of drizzle, and the type of products that are produced by PyDrizzle for both single and associated ACS observations during standard pipeline calibration.

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