Many-probes multi-object spatially-resolved analyses of galaxy clusters in the big data era

TL;DR

This paper introduces exttt{JoXSZ}, a Bayesian tool for joint analysis of SZ and X-ray data to derive galaxy cluster thermodynamics, extending to multi-cluster studies and large data handling.

Contribution

The paper presents a new flexible, Bayesian framework and software for combined SZ and X-ray analysis of galaxy clusters, including multi-cluster and shear measurements.

Findings

exttt{JoXSZ} enables detailed thermodynamic profiling.

Framework efficiently handles large survey data.

Includes multi-cluster heterogeneity analysis.

Abstract

The thermal Sunyaev-Zeldovich (SZ) effect and the X-ray emission offer separate and highly complementary probes of the thermodynamics of the intracluster medium, particularly on their radial dependence. We already released \texttt{JoXSZ}, the first publicly available code designed to jointly fit SZ and X-ray data coming from various instruments to derive the thermodynamic radial profiles of galaxy clusters, including mass. \texttt{JoXSZ;} follows a fully Bayesian forward-modelling approach, adopts flexible parametrization for the thermodynamic profiles and includes many useful options that users can customize according to their needs. We are including shear measurement in our joint analysis, and moving from single-cluster to multi-cluster analyses, allowing to quantify the heterogeneity of thermodynamic properties within the cluster population. At the same time, we are creating a suitable framework that efficiently stores and optimally processes huge volumes of data being released by the current and new generation surveys.