Performance of b-jet identification in the ATLAS experiment

The identification of jets containing b hadrons is important for the physics programme of the ATLAS experiment at the Large Hadron Collider. Several algorithms to identify jets containing b hadrons are described, ranging from those based on the reconstruction of an inclusive secondary vertex or the...

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Autor principal: Aad, G.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_17480221_v11_n4_p_Aad
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spelling todo:paper_17480221_v11_n4_p_Aad2023-10-03T16:32:08Z Performance of b-jet identification in the ATLAS experiment Aad, G. Large detector systems for particle and astroparticle physics Large detector-systems performance Pattern recognition, cluster finding, calibration and fitting methods Performance of High Energy Physics Detectors Calibration Hadrons Uncertainty analysis Astroparticle physics Complementary methods Fitting method High energy physics detector Large detectors Large Hadron Collider Statistical correlation Systematic uncertainties Pattern recognition systems The identification of jets containing b hadrons is important for the physics programme of the ATLAS experiment at the Large Hadron Collider. Several algorithms to identify jets containing b hadrons are described, ranging from those based on the reconstruction of an inclusive secondary vertex or the presence of tracks with large impact parameters to combined tagging algorithms making use of multi-variate discriminants. An independent b-tagging algorithm based on the reconstruction of muons inside jets as well as the b-tagging algorithm used in the online trigger are also presented. The b-jet tagging efficiency, the c-jet tagging efficiency and the mistag rate for light flavour jets in data have been measured with a number of complementary methods. The calibration results are presented as scale factors defined as the ratio of the efficiency (or mistag rate) in data to that in simulation. In the case of b jets, where more than one calibration method exists, the results from the various analyses have been combined taking into account the statistical correlation as well as the correlation of the sources of systematic uncertainty. © CERN 2016 for the benefit of the ATLAS collaboration, published under the terms of the Creative Commons Attribution 3.0 License by IOP Publishing Ltd and Sissa Medialab srl. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_17480221_v11_n4_p_Aad
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Large detector systems for particle and astroparticle physics
Large detector-systems performance
Pattern recognition, cluster finding, calibration and fitting methods
Performance of High Energy Physics Detectors
Calibration
Hadrons
Uncertainty analysis
Astroparticle physics
Complementary methods
Fitting method
High energy physics detector
Large detectors
Large Hadron Collider
Statistical correlation
Systematic uncertainties
Pattern recognition systems
spellingShingle Large detector systems for particle and astroparticle physics
Large detector-systems performance
Pattern recognition, cluster finding, calibration and fitting methods
Performance of High Energy Physics Detectors
Calibration
Hadrons
Uncertainty analysis
Astroparticle physics
Complementary methods
Fitting method
High energy physics detector
Large detectors
Large Hadron Collider
Statistical correlation
Systematic uncertainties
Pattern recognition systems
Aad, G.
Performance of b-jet identification in the ATLAS experiment
topic_facet Large detector systems for particle and astroparticle physics
Large detector-systems performance
Pattern recognition, cluster finding, calibration and fitting methods
Performance of High Energy Physics Detectors
Calibration
Hadrons
Uncertainty analysis
Astroparticle physics
Complementary methods
Fitting method
High energy physics detector
Large detectors
Large Hadron Collider
Statistical correlation
Systematic uncertainties
Pattern recognition systems
description The identification of jets containing b hadrons is important for the physics programme of the ATLAS experiment at the Large Hadron Collider. Several algorithms to identify jets containing b hadrons are described, ranging from those based on the reconstruction of an inclusive secondary vertex or the presence of tracks with large impact parameters to combined tagging algorithms making use of multi-variate discriminants. An independent b-tagging algorithm based on the reconstruction of muons inside jets as well as the b-tagging algorithm used in the online trigger are also presented. The b-jet tagging efficiency, the c-jet tagging efficiency and the mistag rate for light flavour jets in data have been measured with a number of complementary methods. The calibration results are presented as scale factors defined as the ratio of the efficiency (or mistag rate) in data to that in simulation. In the case of b jets, where more than one calibration method exists, the results from the various analyses have been combined taking into account the statistical correlation as well as the correlation of the sources of systematic uncertainty. © CERN 2016 for the benefit of the ATLAS collaboration, published under the terms of the Creative Commons Attribution 3.0 License by IOP Publishing Ltd and Sissa Medialab srl.
format JOUR
author Aad, G.
author_facet Aad, G.
author_sort Aad, G.
title Performance of b-jet identification in the ATLAS experiment
title_short Performance of b-jet identification in the ATLAS experiment
title_full Performance of b-jet identification in the ATLAS experiment
title_fullStr Performance of b-jet identification in the ATLAS experiment
title_full_unstemmed Performance of b-jet identification in the ATLAS experiment
title_sort performance of b-jet identification in the atlas experiment
url http://hdl.handle.net/20.500.12110/paper_17480221_v11_n4_p_Aad
work_keys_str_mv AT aadg performanceofbjetidentificationintheatlasexperiment
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