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Main Authors: Brenner, Lydia, Burgard, Carsten, Croft, Vincent Alexander
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2510.15129
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author Brenner, Lydia
Burgard, Carsten
Croft, Vincent Alexander
author_facet Brenner, Lydia
Burgard, Carsten
Croft, Vincent Alexander
contents This paper describes the treatment of systematic uncertainties in a Likelihood formalism. RooUnfold, which includes most of the unfolding methods that are commonly used in particle physics, is used to compare a newly implemented method inside this toolkit to existing methods. The interface with the RooFit statistical software package is used for the treatment of systematic uncertainties. The RooUnfold package with RooFit interface, commonly called RooFitUnfold, provides a common interface to unfolding algorithms as well as common uniform methods to evaluate their performance in terms of bias, variance and coverage. This paper exploits this common interface to compare the performance of unfolding with a Tikhonov regularisation term directly in the likelihood with an unfolding method that optimises a Tikhonov regularisation applied separately of the likelihood formalism. Comparisons are made with and without the treatment of (systematic) uncertainties and are applied to an example problem.
format Preprint
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institution arXiv
publishDate 2025
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spellingShingle Systematic Uncertainties in Unfolding Considering the Likelihood Formalism
Brenner, Lydia
Burgard, Carsten
Croft, Vincent Alexander
High Energy Physics - Experiment
Data Analysis, Statistics and Probability
This paper describes the treatment of systematic uncertainties in a Likelihood formalism. RooUnfold, which includes most of the unfolding methods that are commonly used in particle physics, is used to compare a newly implemented method inside this toolkit to existing methods. The interface with the RooFit statistical software package is used for the treatment of systematic uncertainties. The RooUnfold package with RooFit interface, commonly called RooFitUnfold, provides a common interface to unfolding algorithms as well as common uniform methods to evaluate their performance in terms of bias, variance and coverage. This paper exploits this common interface to compare the performance of unfolding with a Tikhonov regularisation term directly in the likelihood with an unfolding method that optimises a Tikhonov regularisation applied separately of the likelihood formalism. Comparisons are made with and without the treatment of (systematic) uncertainties and are applied to an example problem.
title Systematic Uncertainties in Unfolding Considering the Likelihood Formalism
topic High Energy Physics - Experiment
Data Analysis, Statistics and Probability
url https://arxiv.org/abs/2510.15129