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

TL;DR

This paper introduces a Bayesian wavelet domain algorithm for denoising cosmic string signals in the CMB, effectively reducing noise from various sources in simulated high-resolution data.

Contribution

It presents a novel Bayesian wavelet-based method specifically designed for cosmic string signal denoising in the CMB, using generalized Gaussian models.

Findings

Effective noise reduction in simulated data

Robust performance under various noise conditions

Demonstrated improvements over existing methods

Abstract

An algorithm is proposed for denoising the signal induced by cosmic strings in the cosmic microwave background (CMB). A Bayesian approach is taken, based on modeling 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 CMB anisotropies, as well as instrumental noise.