  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.
