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 sigma threshold. Besides, the new technique allows us to fix the number of detected sources in a non-arbitrary way.
Highlights
We carry out simulations for the 30, 44, 70 and 100 GHz Planck channels
We include CMB, instrumental noise and point sources simulated according to the De Zotti counts model
We have presented a Bayesian method to detect point sources in CMB maps
Summary
1. Universidad de Oviedo, Oviedo, Spain 2. Different techiques to detect point sources in CMB maps: Matched filter (MF), Sextractor. Matched matrix filters (Herranz & Sanz 2008) Mexican Hat Wavelets (Cayón et al 2000, González-Nuevo et al 2006) These methods are based on the amplification of point sources by filtering with a suitable function.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
