Pattern and Transient Removal Algorithms

Francisco G. Valdes

doi:10.1117/12.460765

19 December 2002 Pattern and Transient Removal Algorithms

Francisco G. Valdes

Proceedings Volume 4847, Astronomical Data Analysis II; (2002) https://doi.org/10.1117/12.460765
Event: Astronomical Telescopes and Instrumentation, 2002, Waikoloa, Hawai'i, United States

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).

Citation Download Citation

Francisco G. Valdes "Pattern and Transient Removal Algorithms", Proc. SPIE 4847, Astronomical Data Analysis II, (19 December 2002); https://doi.org/10.1117/12.460765

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