Paper
1 November 2001 Source detection for the ISOCAM parallel survey
Stephan Ott, Jean-Luc Starck, N. Schartel, Ralf Siebenmorgen, T. Vo, H. Aussel, Etienne Bertin
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Abstract
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
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephan Ott, Jean-Luc Starck, N. Schartel, Ralf Siebenmorgen, T. Vo, H. Aussel, and Etienne Bertin "Source detection for the ISOCAM parallel survey", Proc. SPIE 4477, Astronomical Data Analysis, (1 November 2001); https://doi.org/10.1117/12.447186
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KEYWORDS
Point spread functions

Signal to noise ratio

Algorithm development

Detection and tracking algorithms

Convolution

Solids

Stars

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