HistFitter software framework for statistical data analysis
By M. Baak, G. Besjes, D. Cote, A. Koutsman, J. Lorenz, D. Short. 2014
332 citations recorded by the source corpus.
We present a software framework for statistical data analysis, called HistFitter, that has been used extensively by the ATLAS Collaboration to analyze big datasets originating from proton–proton collisions at the Large Hadron Collider at CERN. Since 2012 HistFitter has been the standard statistical tool in searches for supersymmetric particles performed by ATLAS. HistFitter is a programmable and flexible framework to build, book-keep, fit, interpret and present results of data models of nearly arbitrary complexity. Starting from an object-oriented configuration, defined by users, the framework builds probability density functions that are automatically fit to data and interpreted with statistical tests. Internally HistFitter uses the statistics packages RooStats and HistFactory. A key innovation of HistFitter is its design, which is rooted in analysis strategies of particle physics. The concepts of control, signal and validation regions are woven into its fabric. These are progressively treated with statistically rigorous built-in methods. Being capable of working with multiple models at once that describe the data, HistFitter introduces an additional level of abstraction that allows for easy bookkeeping, manipulation and testing of large collections of signal hypotheses. Finally, HistFitter provides a collection of tools to present results with publication quality style through a simple command-line interface.
Subfields: Nuclear and High Energy Physics
View Paper: https://www.semanticscholar.org/paper/06f61c2e9b8e558f501260094fcb776010f9135a
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In Nuclear and High Energy Physics
- Atlas Collaboration
- Cms Collaboration
- S. Zambito
- Benjamin Nachman
- Alan J. Barr
- Kyle Cranmer
- Jun Gao
- G. Polesello
Citations in the corpus
- Search for electroweak production of charginos and sleptons decaying into final states with two leptons and missing transverse momentum in $\sqrt{s}=13$ TeV $pp$ collisions using the ATLAS detector (2019, methodology): “The statistical interpretation of the final results is performed using the HistFitter framework [105].”
- Search for doubly charged Higgs boson production in multi-lepton final states with the ATLAS detector using proton–proton collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepac (2017, unknown): “The statistical analysis package HistFitter [84] was used to implement a maximum-likelihood fit of the dilepton invariant mass distribution in all control and signal regions, and the M̄ distribution in four-lepton regions to obtain the numbers of signal and background events.”
- Search for electroweak production of supersymmetric particles in final states with two or three leptons at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\odd (2018, methodology): “The HistFitter framework [96] is used for the statistical interpretation of the results, with the CRs (for the 2 + 0 jets and 3 channels) and SRs both participating in a simultaneous likelihood fit.”
- Search for massive, long-lived particles using multitrack displaced vertices or displaced lepton pairs in pp collisions at $\sqrt{s}$ = 8 TeV with the ATLAS detector (2015, unknown): “H ist F itter [61] framework.”
- Searches for electroweak production of supersymmetric particles with compressed mass spectra in √s = 13 TeV pp collisions with the ATLAS detector (2019, methodology): “Data in the control regions, validation regions, and signal regions are compared with SM predictions using a profile likelihood method [122] implemented in the HistFitter package [123].”
- Search for electroweak production of supersymmetric states in scenarios with compressed mass spectra at √s = 13 TeV with the ATLAS detector (2017, unknown): “The HISTFITTER package [121] is used to implement the statistical interpretation based on a profile likelihood method [122].”