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

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URI: https://hdl.handle.net/10902/28440
ISSN: 0035-8711
ISSN: 1365-2966
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Autoría
Argüeso, F.; Salerno, E.; Herranz Muñoz, DiegoAutoridad Unican; Sanz Estévez, José Luis; Kuruoglu, E. E.; Kayabol, K.
Fecha
2011-06
Derechos
This article has been accepted for publication in Monthly notices of the Royal Astronomical Society © 2011 The authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.
Publicado en
Monthly Notices of the Royal Astronomical Society, 2011, 414(1), 410-417
Editorial
Oxford University Press
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Palabras clave
Methods: data analysis
Techniques: image processing
Cosmic background radiation
Radio continuum: galaxies
Resumen/Abstract
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 5? threshold. Besides, the new technique allows us to fix the number of detected sources in a non-arbitrary way.
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