HEPfit - a Code for the Combination of Indirect and Direct Constraints on High Energy Physics Models.
HEPfit is a flexible tool which, given the Standard Model or any extension, allows to:
- fit the model parameters to a given set of experimental observables
- obtain fit results for observables
- obtain predictions for observables
The HEPfit library can be used:
- to perform a Bayesian Markov Chain Monte Carlo analysis of the implemented model using BAT support
- to perform a Bayesian Markov Chain Monte Carlo analysis of user defined models and/or observables using BAT support
- to perform a user defined statistical analysis with the models and observables implemented in the library
- to perform a user defined statistical analysis with user defined models and/or observables
The Markov Chain Monte Carlo is based on the BAT (Bayesian Analysis Toolkit) library.
- Public libraries
- Developer Libraries
- HEPfit (using CMake)
git clone https://github.com/silvest/HEPfit.git --recursive cd HEPfit mkdir build cd build cmake .. -DBAT_INSTALL=OFF
For install options for bat_MPI
, RGESolver
, and HEPfit
look at the top of the CMakeLists.txt file in the root directory
See doc/CREDITS file for list of contributors to HEPfit.
The HEPfit distribution package is available from the HEPfit webpage. See doc/COPYING and doc/LICENSE for licensing terms.
The documentation of the master branch is available from the HEPfit webpage. It is meant for the developers and is updated periodically. Documentation can also be generated from the master using the pacakging script in the Packaging
directory by running
$ cd Packaging
$ sh makepackage.sh --doxygen
The documentation will be generated in Packaging/HEPfit-master-<commit no.>/Doxygen/html
. An installation of Doxygen is necessary.