Source detection for the ISOCAM parallel survey

Details Source detection for the ISOCAM parallel survey Source detection for the ISOCAM parallel survey

Nov 2001

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001spie.4477..289o&link_type=abstract

Proc. SPIE Vol. 4477, p. 289-300, Astronomical Data Analysis, Jean-Luc Starck; Fionn D. Murtagh; Eds.

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Scientific paper

In the so-called parallel mode, ISOCAM, the mid-infrared camera on board ESA's Infrared Space Observatory (ISO), continued to observe while other instruments were prime, thus providing a widespread high-sensitivity survey of the sky. The currently exploitable data set was taken during 7000 hours of observations and consists of over 37000 pointings. The source extraction from these images is a challenging task due to the following difficulties: * the small number of pixels per image (32*32), resulting into a highly under-sampled Point Spread Function * the varying sky area --- from flat background to highly structured or confused * the varying and a priori unknown instrumental noise and the highly varying duration of each pointing * the high number of spurious sources due to restricted glitch-rejection for observations with few readouts * the lack of redundant pointings for the majority of cases The algorithm developed to solve these problems consists of a combination of three detection methods: * sextractor, using various thresholds and convolution files * multi-resolution detection * flux- and position determination of detected sources via modified point-source fitting * heuristic criteria to classify the sources into point- and extended sources

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