Scale-adaptive filters for the detection/separation of compact sources

被引:49
作者
Herranz, D
Sanz, JL
Barreiro, RB
Martínez-González, E
机构
[1] Fac Ciencias, Inst Fis Cantabria, Santander 39005, Spain
[2] Univ Cantabria, Dept Fis Moderna, E-39005 Santander, Spain
[3] Cavendish Lab, Astrophys Grp, Cambridge CB3 0HE, England
关键词
methods : analytical; methods : data analysis; techniques : image processing;
D O I
10.1086/342651
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
This paper presents scale-adaptive filters that optimize the detection/separation of compact sources on a background. We assume that the sources have a multiquadric profile, i.e., tau(x) = [1 + (x/r(c))(2)](-lambda); lambda greater than or equal to 1/2; x = \x\, and a background modeled by a homogeneous and isotropic random field, characterized by a power spectrum P(q) proportional to q(-gamma), gamma greater than or equal to 0, q = \q\. We make an n-dimensional treatment but consider two interesting astrophysical applications related to clusters of galaxies (Sunyaev-Zeldovich effect and X-ray emission).
引用
收藏
页码:610 / 625
页数:16
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