Nov 4 – 8, 2019
Adelaide Convention Centre
Australia/Adelaide timezone

BAT.jl – Upgrading the Bayesian Analysis Toolkit

Nov 5, 2019, 3:30 PM
Hall F (Adelaide Convention Centre)

Hall F

Adelaide Convention Centre

Poster Track 6 – Physics Analysis Posters


Cornelius Grunwald (Technische Universitaet Dortmund (DE)) Cornelius Grunwald (TU Dortmund)


BAT.jl, the Julia version of the Bayesian Analysis Toolkit, is a software package which is designed to help solve statistical problems encountered in Bayesian inference. Typical examples are the extraction of the values of the free parameters of a model, the comparison of different models in the light of a given data set, and the test of the validity of a model to represent the data set at hand. BAT.jl is based on Bayes’ Theorem and it is realized with the use of different algorithms. These give access to the full posterior probability distribution, and they enable parameter estimation, limit setting and uncertainty propagation.
BAT.jl is implemented in Julia and allows for a flexible definition of mathematical models and applications while keeping in mind the reliability and speed requirements of the numerical operations. It provides implementations (or links to implementations) of algorithms for sampling, optimization and integration. While predefined models exist for standard cases, such as simple counting experiments, binomial problems or Gaussian models, its full strength lies in the analysis of complex and high-dimensional models often encountered in high energy and nuclear physics.
BAT.jl is a completely re-written code based on the original BAT code written in C++ . There is no backward compatibility whatsoever, but the spirit is the same: providing a tool for Bayesian computations of complex models.
The poster will summarize the current status of the BAT.jl project and highlight the challenges faced in the fields of high energy and nuclear physics.

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Primary authors

Allen Caldwell (Max-Planck-Institut fur Physik (DE)) Cornelius Grunwald (Technische Universitaet Dortmund (DE)) Cornelius Grunwald (TU Dortmund) Frederik Beaujean (LMU Munich) Kevin Alexander Kroeninger (Technische Universitaet Dortmund (DE)) Lolian Shtembari (Max-Planck-Institut fur Physik (DE)) Marco Szalay (Max-Planck-Institut fur Physik (DE)) Oliver Schulz (MPI for Physics, Munich) Rafael Schick (Max-Planck-Institut fur Physik (DE)) Salvatore La Cagnina (Technische Universitaet Dortmund (DE)) Tobias Pielok (Max-Planck-Institut fur Physik (DE))

Presentation materials