2011
Journal article  Open Access

A Bayesian technique for the detection of point sources in CMB maps

Argueso F., Salerno E., Herranz D., Sanz J. L., Kuruoglu E. E., Kayabol K.

Data analysis  Image processing  Bayesian methods  Astronomy and Astrophysics  J.2 PHYSICAL SCIENCES AND ENGINEERING. Astronomy  Space and Planetary Science 

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 sigma threshold. Besides, the new technique allows us to fix the number of detected sources in a non-arbitrary way.

Source: Monthly notices of the Royal Astronomical Society (Online) 414 (2011): 410–417. doi:10.1111/j.1365-2966.2011.18398.x

Publisher: Blackwell Science, Oxford , Regno Unito


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BibTeX entry
@article{oai:it.cnr:prodotti:199880,
	title = {A Bayesian technique for the detection of point sources in CMB maps},
	author = {Argueso F. and Salerno E. and Herranz D. and Sanz J.  L. and Kuruoglu E.  E. and Kayabol K.},
	publisher = {Blackwell Science, Oxford , Regno Unito},
	doi = {10.1111/j.1365-2966.2011.18398.x},
	journal = {Monthly notices of the Royal Astronomical Society (Online)},
	volume = {414},
	pages = {410–417},
	year = {2011}
}