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

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.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Autoría: Argüeso F., Salerno E., Herranz D., Sanz J.L., Kuruoglu E.E., Kayabol K.,

 Fuente: Monthly Notices of the Royal Astronomical Society, 2011, 414(1), 410-417

Editorial: Oxford University Press

 Fecha de publicación: 01/06/2011

Nº de páginas: 8

Tipo de publicación: Artículo de Revista

 DOI: 10.1111/j.1365-2966.2011.18398.x

ISSN: 0035-8711,1365-2966

 Proyecto español: AYA2007-68058-C03-02

Url de la publicación: https://doi.org/10.1111/j.1365-2966.2011.18398.x

Autoría

ARGÜESO, F.

SALERNO, E.

JOSE LUIS SANZ ESTEVEZ

KURUOGLU, E. E.

KAYABOL, K.