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Optimal Multiwavelength Source Detection: Experience Gained from the WISE Mission

Published online by Cambridge University Press:  02 January 2013

K. A. Marsh  and
T. H. Jarrett
K. A. Marsh*
Affiliation:
Infrared Processing and Analysis Center, California Institute of Technology 100–22, Pasadena, CA 91125, USA
T. H. Jarrett
Affiliation:
Infrared Processing and Analysis Center, California Institute of Technology 100–22, Pasadena, CA 91125, USA
*
BCorresponding author. Email: kam@ipac.caltech.edu
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Abstract

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We discuss the optimal detection of point sources from multiwavelength imaging data using an approach, referred to as MDET, which requires no prior knowledge of the source spectrum. MDET may be regarded as a somewhat more general version of the so-called ‘chi-squared’ technique. We describe the theoretical basis of the technique, and show examples of its performance with four-channel infrared broadband imaging data from the WISE mission. We also discuss the potential benefits of applying it to the multifrequency data cubes of the ASKAP surveys, and suggest that it could increase the detection sensitivity of searches for neutral hydrogen emission at moderately high redshifts.

Keywords

methods: data analysismethods: observationaltechniques: image processing
Type
Research Article
Information
Publications of the Astronomical Society of Australia , Volume 29 , Special Issue 3: Source Finding and Visualisation , 2012 , pp. 269 - 275
Copyright
Copyright © Astronomical Society of Australia 2012

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