Simplified likelihoods using linearized systematic uncertainties

Abstract This paper presents a simplified likelihood framework designed to facilitate the reuse, reinterpretation and combination of LHC experimental results. The framework is based on the same underlying structure as the widely used HistFactory format, but with systematic uncertainties considered a...

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Main Author: N. Berger
Format: Article
Language:English
Published: SpringerOpen 2023-04-01
Series:Journal of High Energy Physics
Subjects:
Online Access:https://doi.org/10.1007/JHEP04(2023)084
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author N. Berger
author_facet N. Berger
author_sort N. Berger
collection DOAJ
description Abstract This paper presents a simplified likelihood framework designed to facilitate the reuse, reinterpretation and combination of LHC experimental results. The framework is based on the same underlying structure as the widely used HistFactory format, but with systematic uncertainties considered at linear order only. This simplification leads to large gains in computing performance for the evaluation and maximization of the likelihood function, compared to the original statistical model. The framework accurately describes non-Gaussian effects from low event counts, as well as correlated uncertainties in combinations. While primarily targeted towards binned descriptions of the data, it is also applicable to unbinned models.
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spelling doaj.art-f63763800bfb4ad68f155c7271c3a47b2023-07-30T11:03:37ZengSpringerOpenJournal of High Energy Physics1029-84792023-04-012023412010.1007/JHEP04(2023)084Simplified likelihoods using linearized systematic uncertaintiesN. Berger0LAPP, Université Savoie Mont Blanc, CNRS/IN2P3Abstract This paper presents a simplified likelihood framework designed to facilitate the reuse, reinterpretation and combination of LHC experimental results. The framework is based on the same underlying structure as the widely used HistFactory format, but with systematic uncertainties considered at linear order only. This simplification leads to large gains in computing performance for the evaluation and maximization of the likelihood function, compared to the original statistical model. The framework accurately describes non-Gaussian effects from low event counts, as well as correlated uncertainties in combinations. While primarily targeted towards binned descriptions of the data, it is also applicable to unbinned models.https://doi.org/10.1007/JHEP04(2023)084Beyond Standard ModelHiggs PhysicsSupersymmetryHadron-Hadron Scattering
spellingShingle N. Berger
Simplified likelihoods using linearized systematic uncertainties
Journal of High Energy Physics
Beyond Standard Model
Higgs Physics
Supersymmetry
Hadron-Hadron Scattering
title Simplified likelihoods using linearized systematic uncertainties
title_full Simplified likelihoods using linearized systematic uncertainties
title_fullStr Simplified likelihoods using linearized systematic uncertainties
title_full_unstemmed Simplified likelihoods using linearized systematic uncertainties
title_short Simplified likelihoods using linearized systematic uncertainties
title_sort simplified likelihoods using linearized systematic uncertainties
topic Beyond Standard Model
Higgs Physics
Supersymmetry
Hadron-Hadron Scattering
url https://doi.org/10.1007/JHEP04(2023)084
work_keys_str_mv AT nberger simplifiedlikelihoodsusinglinearizedsystematicuncertainties