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Title

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

AuthorsArgüeso, Francisco ; Herranz, D. ; Sanz, J. L.
KeywordsMethods: data analysis
Techniques: image processing
Cosmic background radiation
Radio continuum: galaxies
Issue DateJun-2011
PublisherWiley-Blackwell
CitationMonthly Notices of the Royal Astronomical Society 414(1): 410-417 (2011)
AbstractThe 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.
Description8 páginas, 9 figuras, 1 tabla.-- El Pdf del artículo es la versión pre-print: arXiv:1101.1456v1.-- et al.
Publisher version (URL)http://dx.doi.org/10.1111/j.1365-2966.2011.18398.x
URIhttp://hdl.handle.net/10261/45676
DOI10.1111/j.1365-2966.2011.18398.x
ISSN0035-8711
E-ISSN1365-2966
Appears in Collections:(IFCA) Artículos
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