Journal Article

A Bayesian technique for the detection of point sources in cosmic microwave background maps

F. Argüeso, E. Salerno, D. Herranz, J. L. Sanz, E. E. Kuruoğlu and K. Kayabol

in Monthly Notices of the Royal Astronomical Society

Published on behalf of The Royal Astronomical Society

Volume 414, issue 1, pages 410-417
Published in print June 2011 | ISSN: 0035-8711
Published online June 2011 | e-ISSN: 1365-2966 | DOI: http://dx.doi.org/10.1111/j.1365-2966.2011.18398.x
A Bayesian technique for the detection of point sources in cosmic microwave background maps

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The detection and flux estimation of point sources in cosmic microwave background (CMB) maps is a very important task in order to clean the maps and also to obtain relevant astrophysical information. In this paper we propose a maximum a posteriori (MAP) approach detection method in a Bayesian scheme which incorporates prior information about the source flux distribution, the locations and the number of sources. We apply this method to CMB simulations with the characteristics of the Planck satellite channels at 30, 44, 70 and 100 GHz. With a similar level of spurious sources, our method yields more complete catalogues than the matched filter with a 5σ threshold. Besides, the new technique allows us to fix the number of detected sources in a non-arbitrary way.

Keywords: methods: data analysis; techniques: image processing; cosmic background radiation; radio continuum: galaxies

Journal Article.  6706 words.  Illustrated.

Subjects: Astronomy and Astrophysics

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