Evaluation of cosmic ray rejection algorithms on single-shot exposures

Catherine Farage, Kevin Pimbblet

Research output: Contribution to journalArticleResearchpeer-review

17 Citations (Scopus)

Abstract

To maximise data output from single-shot astronomical images, the rejection of cosmic rays is important. We present the results of a benchmark trial comparing various cosmic ray rejection algorithms. The procedures assess relative performances and characteristics of the processes in cosmic ray detection, rates of false detections of true objects, and the quality of image cleaning and reconstruction. The cosmic ray rejection algorithms developed by Rhoads (2000, PASP, 112, 703), van Dokkum (2001, PASP, 113, 1420), Pych (2004, PASP, 116, 148), and the IRAF task XZAP by Dickinson are tested using both simulated and real data. It is found that detection efficiency is independent of the density of cosmic rays in an image, being more strongly affected by the density of real objects in the field. As expected, spurious detections and alterations to real data in the cleaning process are also significantly increased by high object densities. We find the Rhoads linear filtering method to produce the best performance in the detection of cosmic ray events; however, the popular van Dokkum algorithm exhibits the highest overall performance in terms of detection and cleaning
Original languageEnglish
Pages (from-to)249 - 256
Number of pages8
JournalPublications of the Astronomical Society of Australia
Volume22
Issue number3
DOIs
Publication statusPublished - 2005
Externally publishedYes

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