Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/45676
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Título : A Bayesian technique for the detection of point sources in cosmic microwave background maps
Autor : Argüeso, F., Herranz, D., Sanz, J. L.
Palabras clave : Methods: data analysis
Techniques: image processing
Cosmic background radiation
Radio continuum: galaxies
Fecha de publicación : Jun-2011
Editor: Wiley-Blackwell
Citación : Monthly Notices of the Royal Astronomical Society 414(1): 410-417 (2011)
Resumen: 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.
Descripción : 8 páginas, 9 figuras, 1 tabla.-- El Pdf del artículo es la versión pre-print: arXiv:1101.1456v1.-- et al.
Versión del editor: http://dx.doi.org/10.1111/j.1365-2966.2011.18398.x
URI : http://hdl.handle.net/10261/45676
ISSN: 0035-8711
DOI: 10.1111/j.1365-2966.2011.18398.x
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