This C++ version of BAT is still being maintained, but addition of new features is unlikely. Check out our new incarnation, BAT.jl, the Bayesian analysis toolkit in Julia. In addition to Metropolis-Hastings sampling, BAT.jl supports Hamiltonian Monte Carlo (HMC) with automatic differentiation, automatic prior-based parameter space transformations, and much more. See the BAT.jl documentation.
Contact
You can contact us, send bugreport, request addition of a new feature or simply share your experience with BAT via
The team
The people actively participating in the development of BAT are:
- Frederik Beaujean - Ludwig Maximilian University, Munich, Germany
- Allen Caldwell - MPI for Physics, Munich, Germany
- Daniel Greenwald - Technical University, Munich, Germany
- Daniel Kollar - Areva, Erlangen, Germany
- Kevin Kröninger - TU Dortmund University, Germany
- Oliver Schulz - MPI for Physics, Munich, Germany
Credits
Contributors in alphabetical order:
- Carsten Brachem - University of Göttingen, Germany - Simulated Annealing
- James Ferrando - University of Oxford, UK - autoconf/automake installation procedure
- Jing Liu - MPI for Physics, Munich, Germany - test suite for MCMC performance
- Stefan Schmitz - RWTH Aachen University, Germany - RooFit/RooStats interface
- Gregory Schott - University of Karlsruhe, Germany - RooFit/RooStats interface
It is very easy to get your name to be listed here. All you need to do is to help us make BAT a better software. There are many things planned for future releases. If you want to contribute just let us know.