会议论文详细信息
16th International workshop on Advanced Computing and Analysis Techniques in physics research
HistFitter - A flexible framework for statistical data analysis
物理学;计算机科学
Lorenz, J.M.^1,2 ; Baak, M.^3 ; Besjes, G.J.^4,5 ; Côté, D.^6 ; Koutsman, A.^7 ; Short, D.^8
Fakultät füer Physik, LMU München, Am Coulombwall 1, Garching
85748, Germany^1
Excellence Cluster Universe, Boltzmannstr. 2, Garching
85748, Germany^2
CERN, Route de Meyrin 385, Meyrin
1217, Switzerland^3
IMAPP, Radboud University Nijmegen, P.O. Box 9010, Nijmegen
6500 GL, Netherlands^4
Nihkef, Science Park 105, Amsterdam
1098 XG, Netherlands^5
University of Texas at Arlington, Department of Physics, Box 19059, Arlington
TX
76019, United States^6
TRIUMF, 4004 Wesbrook Mall, Vancouver
BC
V6T 2A3, Canada^7
Department of Physics, Denys Wilkinson Building, University of Oxford, Keble Road, Oxford
OX1 3RH, United Kingdom^8
关键词: De facto standard;    Flexible framework;    Higgs boson;    Large Hadron Collider;    Multiple tools;    Proton proton collisions;    Software frameworks;    Statistical data analysis;   
Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/608/1/012049/pdf
DOI  :  10.1088/1742-6596/608/1/012049
学科分类:计算机科学(综合)
来源: IOP
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【 摘 要 】

We present a software framework for statistical data analysis, called HistFitter, that has extensively been used 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. The key innovations of HistFitter are to weave the concepts of control, validation and signal regions into its very fabric, and to treat them with rigorous statistical methods, while providing multiple tools to visualize and interpret the results through a simple configuration interface.

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