Open AccessHistFitter: a flexible framework for statistical data analysis
Author(s) -
G. J. Besjes,
M. A. Baak,
D. Côté,
A. Koutsman,
J. Lorenz,
D. Short
Publication year - 2015
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/664/7/072004
Subject(s) - large hadron collider , higgs boson , particle physics , data analysis , atlas (anatomy) , computer science , de facto , statistical analysis , physics , histogram , software , data mining , programming language , statistics , mathematics , artificial intelligence , paleontology , biology , political science , law , image (mathematics)
HistFitter is a software framework for statistical data analysis that has been used extensively in the ATLAS Collaboration to analyze data of proton-proton collisions produced by the Large Hadron Collider at CERN. Most notably, HistFitter has become a de-facto standard in searches for supersymmetric particles since 2012, with some usage for Exotic and Higgs boson physics. HistFitter coherently combines several statistics tools in a programmable and flexible framework that is capable of bookkeeping hundreds of data models under study using thousands of generated input histograms.HistFitter interfaces with the statistics tools HistFactory and RooStats to construct parametric models and to perform statistical tests of the data, and extends these tools in four key areas. The key innovations are to weave the concepts of control, validation and signal regions into the very fabric of HistFitter, and to treat these with rigorous methods. Multiple tools to visualize and interpret the results through a simple configuration interface are also provided