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A tool to combine indirect and direct searches for new physics
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Ana Peñuelas Martínez Ana Peñuelas Martínez
Ana Peñuelas Martínez and Ana Peñuelas Martínez Changes in NPSMEFT6dtopquark
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Analysis
BATv1.0.0-dev
BATv1.0.0_parallel-dev
BHWIDEWrapper changed error flags for all projects for the Debug and Debug_MPI configs Dec 10, 2017
ComputeObservables modifications to Release_MPI configs Mar 11, 2019
Configurations updated the configs with Babar data Oct 22, 2018
Doxygen modifications to the documentation Apr 1, 2018
Drafts Added the default parameter values to the parameter tables in the app… Nov 21, 2017
EW
EventGeneration modifications to Release_MPI configs Mar 11, 2019
Flavour
FlavourWilsonCoefficient
GeneralSUSY modifications to Release_MPI configs Mar 11, 2019
GeneralTHDM
GeorgiMachacek
InputParser
LHPC
LeftRightSymmetricModel modifications to Release_MPI configs Mar 11, 2019
LeptonFlavour
LoopFunctions
MFV modifications to Release_MPI configs Mar 11, 2019
MonteCarlo Small modifications to the alternate computation of IC Mar 19, 2019
NewPhysics
Observables
Packaging modified patch file for BAT Apr 1, 2018
SUSY
SUSYMassInsertion
StandardModel Cleaned some code in BXqll. Reintroduced C10_OS1 matching in mc_L(). Mar 15, 2019
THDM modifications to Release_MPI configs Mar 11, 2019
THDMW
Utils changed error flags for all projects for the Debug and Debug_MPI configs Dec 10, 2017
ZFitterWrapper
doc
gslpp
pMSSM modifications to Release_MPI configs Mar 11, 2019
.gitignore cleaned up .gitignore file Oct 9, 2016
README.md Create README.md Apr 1, 2018

README.md

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.

Authors:

See doc/CREDITS file for list of contributors to HEPfit.

Availability:

The HEPfit distribution package is available from the HEPfit webpage. See doc/COPYING and doc/LICENSE for licensing terms.

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