JoXSZ: Joint X-SZ fitter for galaxy clusters
Abstract
High-resolution observations of the thermal Sunyaev-Zeldovich (SZ) effect and of the X-ray emission of galaxy clusters are becoming more and more widespread, offering us an unique asset to the study of the thermodynamic properties of the intracluster medium. We present JoXSZ, a Bayesian forward-modelling Python code designed to jointly fit the SZ data and the three dimensional X-ray data cube. JoXSZ is able to derive the thermodynamic profiles of galaxy clusters for the first time making full and consistent use of all the information contained in the observations. JoXSZ will be publicly available on GitHub in the near future.
Keywords
Cite
@article{arxiv.2006.00233,
title = {JoXSZ: Joint X-SZ fitter for galaxy clusters},
author = {Fabio Castagna and Stefano Andreon},
journal= {arXiv preprint arXiv:2006.00233},
year = {2020}
}
Comments
4 pages. To appear in proceedings of The Annual Conference on Astronomical Data Analysis and Software Systems (ADASS 2019). The article describes an early version of JoXSZ, whose final version is presented at arXiv:2005.12315 and distributed on GitHub at https://github.com/fcastagna/JoXSZ