The great majority of X-ray measurements of cluster masses in the literature assume parametrized functional forms for the radial distribution of two independent cluster thermodynamic properties, such as electron density and temperature, to model the X-ray surface brightness. These radial profiles (e.g. β-model) have an amplitude normalization parameter and two or more shape parameters. BAYES-X uses a cluster model to parametrize the radial X-ray surface brightness profile and explore the constraints on both model parameters and physical parameters. Bayes-X is programmed in Fortran and uses MultiNest (ascl:1109.006) as the Bayesian inference engine.
https://ui.adsabs.harvard.edu/abs/2015MNRAS.446.1799O, https://ui.adsabs.harvard.edu/abs/2009MNRAS.398.1601F, https://ui.adsabs.harvard.edu/abs/2008MNRAS.384..449F, and https://ui.adsabs.harvard.edu/abs/2019OJAp....2E..10F