version 1.0
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.
Authors:
See the developer section of the HEPfit
webpage.
Availability:
HEPfit
is available from the HEPfit
webpage. See doc/COPYING and doc/LICENSE for licensing terms.
Contents:
- doc/ - directory containing information on
HEPfit
- examples-src/ - directory containing well commented example programs
- INSTALL.md - information about how to install HEPfit on your system
- README.md - basic information about
HEPfit
(this package)
- Usage.md - information about how to use HEPfit
- VERSION - version number for
HEPfit
Files for building HEPfit:
- BAT-1.0.0_mpi_patch.txt
- BAT-1.0.0_patch.txt
- BAT_make_wrapper.sh.in
- CMakeLists.txt
- cmake_uninstall.cmake.in
- HEPfit.h.in
- HEPfit.pc.in
- HEPfit_noMCMC.h.in
- hepfit-config.in
Directories containing HEPfit source and header files:
- ComputeObservables/
- EW/
- EventGeneration/
- Flavour/
- FlavourWilsonCoefficient/
- GeneralSUSY/
- GeneralTHDM/
- GeorgiMachacek/
- gslpp
- InputParser/
- LeptonFlavour/
- LoopFunctions/
- MonteCarlo/
- NewPhysics/
- Observables/
- SUSY/
- StandardModel/
- THDM/
- THDMW/
Installation:
See the INSTALL.md file for installation instructions or the HEPfit
Installation Page.
Support:
For additional information and contacting the authors, please consult the HEPfit
webpage.