Wavelet domain Bayesian denoising of string signal in the cosmic microwave background

被引：16

作者：

Hammond, D. K. ^{[1
]}

Wiaux, Y. ^{[1
]}

Vandergheynst, P. ^{[1
]}

机构：

[1] Ecole Polytech Fed Lausanne, Inst Elect Engn, CH-1015 Lausanne, Switzerland

来源：

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | 2009年 / 398卷 / 03期

基金：

瑞士国家科学基金会; 美国国家科学基金会;

关键词：

methods: data analysis; techniques: image processing; cosmic microwave background; ARCMINUTE-MICROKELVIN-IMAGER; PROBE WMAP OBSERVATIONS; ANGULAR POWER SPECTRUM; SCALE MIXTURES; COSMOLOGICAL PARAMETERS; ANISOTROPY; EVOLUTION; MAPS; RECONSTRUCTION; SIMULATION;

D O I：

10.1111/j.1365-2966.2009.14978.x

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

An algorithm is proposed for denoising the signal induced by cosmic strings in the cosmic microwave background. A Bayesian approach is taken, based on modelling the string signal in the wavelet domain with generalized Gaussian distributions. Good performance of the algorithm is demonstrated by simulated experiments at arcminute resolution under noise conditions including primary and secondary cosmic microwave background anisotropies, as well as instrumental noise.

引用

页码：1317 / 1332

页数：16

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