MCMC via BAT.jl reproduces Sherpa's Z+3 jets distributions for two observables, but full 13-dimensional phase space validation is missing.
BAT.jl -- A Julia-based tool for Bayesian inference
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abstract
We describe the development of a multi-purpose software for Bayesian statistical inference, BAT.jl, written in the Julia language. The major design considerations and implemented algorithms are summarized here, together with a test suite that ensures the proper functioning of the algorithms. We also give an extended example from the realm of physics that demonstrates the functionalities of BAT.jl.
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Phase space sampling with Markov Chain Monte Carlo methods
MCMC via BAT.jl reproduces Sherpa's Z+3 jets distributions for two observables, but full 13-dimensional phase space validation is missing.