https://doi.org/10.1051/epjconf/202225700009
Many-probes multi-object spatially-resolved analyses of galaxy clusters in the big data era
1 Department of Pure and Applied Sciences, Computer Science Division, Insubria University, 21100 Varese, Italy
2 INAF–Osservatorio Astronomico di Brera, via Brera 28, 20121 Milano, Italy
3 INAF-Osservatorio Astronomico di Brera, via Emilio Bianchi 46, 23807 Merate, Italy
* e-mail: fabio.castagna@inaf.it
Published online: 17 January 2022
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 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. 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 effciently stores and optimally processes huge volumes of data being released by the current and new generation surveys.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
