Spectral imaging of X-COP galaxy clusters with the Sunyaev-Zel'dovich effect

TL;DR

This paper presents an improved spectral imaging technique for mapping the Sunyaev-Zel'dovich effect in galaxy clusters, enhancing contamination treatment and beam deconvolution, applied to X-COP clusters using Planck data.

Contribution

An improved spectral imaging algorithm with better astrophysical contaminant handling and beam deconvolution, applied to galaxy clusters in the X-COP project.

Findings

Enhanced imaging of galaxy clusters A2029 and RXCJ1825.

Demonstrated advantages of new beam deconvolution method.

Application to Planck data improves SZ effect mapping.

Abstract

The Sunyaev-Zel'dovich effect is the ideal probe for investigating the outskirts of galaxy clusters. To map this signal, we apply a spectral imaging technique which combines parametric component separation and sparse representations. Our procedure is an improved version of an existing algorithm, which now features a better treatment of astrophysical contaminants, and the implementation of a new beam deconvolution. We use the most recent frequency maps delivered by \textsl{Planck}, and we consider the clusters analysed in the \textsl{XMM} Cluster Outskirts Project (X-COP). In particular, we focus on the images of two clusters which may be possibly interacting with neighbouring objects, namely A2029 and RXCJ1825. We also highlight the advantages of the new beam deconvolution method, through a comparison with the original version of the imaging algorithm.