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

被引：11
作者：
Argueeso, F. [1 ]
Salerno, E. [2 ]
Herranz, D. [3 ]
Sanz, J. L. [3 ]
Kuruoglu, E. E. [2 ]
Kayabol, K. [2 ]
机构：
[1] Univ Oviedo, Dept Matemat, Oviedo 33007, Spain
[2] CNR, ISTI, Natl Res Council Italy, I-56124 Pisa, Italy
[3] CSIC UC, Inst Fis Cantabria, Santander 39005, Spain
来源：
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | 2011年 / 414卷 / 01期
关键词：
methods: data analysis; techniques: image processing; cosmic background radiation; radio continuum: galaxies; DISCRETE OBJECT DETECTION; ASTRONOMICAL DATA SETS; EXTRAGALACTIC SOURCES; HERSCHEL-ATLAS; SOURCE COUNTS; RADIO-SOURCES; 15; GHZ; PREDICTIONS; TELESCOPE; SPECTRUM;
D O I：
10.1111/j.1365-2966.2011.18398.x
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
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.
引用
收藏
页码：410 / 417
页数：8
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