Scientific Seminars

Fitting thermodynamic profiles of galaxy clusters from SZ and X-ray measurements

Fabio Castagna
INAF-OAB

2020-02-04    11:00    Brera - Auletta

Modelling thermodynamic profiles of galaxy clusters can be very useful for inferring cluster masses for cosmological applications, as well as for probing substructures of the intracluster medium. A powerful way to derive these profiles is to combine X-ray data and observations of the Sunyaev-Zeldovich (SZ) effect. We developed JoXSZ, the first publicly available Python program for conducting a joint fit on SZ and X-ray data. JoXSZ adopts flexible parametrizations for the thermodynamic radial profiles relying on the assumption of spherical symmetry for the cluster. Furtherly assuming hydrostatic equilibrium, the mass distribution of the cluster can be easily derived. JoXSZ follows a fully Bayesian forward-modelling approach and owns many options which allow users to customize their analysis.