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Proceedings Paper

Pattern and Transient Removal Algorithms
Author(s): Francisco G. Valdes
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Paper Abstract

This paper describes algorithms for the removal of two types of contaminating features in astronomical images. One is background patterns that are spatially fixed (over many exposures) but variable in amplitude. These include fringing and pupil patterns. An algorithm for automatically fitting the pattern amplitude is presented. The second type of contamination consists of non-astronomical (cosmic rays and satellite trails) and astronomical (asteroids) transient sources. An algorithm for detecting and removing these sources from stacked images is also described. Implementations of these algorithms in IRAF are illustrated with data from the NOAO large format mosaic imagers taken by the NOAO Deep-Wide Field Survey (NDWFS).

Paper Details

Date Published: 19 December 2002
PDF: 11 pages
Proc. SPIE 4847, Astronomical Data Analysis II, (19 December 2002); doi: 10.1117/12.460765
Show Author Affiliations
Francisco G. Valdes, National Optical Astronomy Observatory (United States)

Published in SPIE Proceedings Vol. 4847:
Astronomical Data Analysis II
Jean-Luc Starck; Fionn D. Murtagh, Editor(s)

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