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b tagging in ATLAS and CMS

Many physics signals presently studied at the high energy collision experiments lead to final states with jets originating from heavy flavor quarks. This report reviews the algorithms for heavy flavor jets identification developed by the ATLAS and CMS Collaborations in view of the Run2 data taking p...

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Autor principal: Scodellaro, Luca
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:http://cds.cern.ch/record/2282521
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author Scodellaro, Luca
author_facet Scodellaro, Luca
author_sort Scodellaro, Luca
collection CERN
description Many physics signals presently studied at the high energy collision experiments lead to final states with jets originating from heavy flavor quarks. This report reviews the algorithms for heavy flavor jets identification developed by the ATLAS and CMS Collaborations in view of the Run2 data taking period at the Large Hadron Collider. The improvements of the algorithms used in 2015 and 2016 data analyses with respect to previous data taking periods are discussed, as well as the ongoing developments in view of the next years of data taking. The measurements of the performance of the algorithms on data as well as the dedicated techniques for the identification of heavy flavor jets in events with boosted topologies are also presented. Finally, the effectiveness of heavy flavor jet identification in the complex environment expected during the high luminosity LHC phase is discussed.
id cern-2282521
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
record_format invenio
spelling cern-22825212023-03-14T17:40:29Zhttp://cds.cern.ch/record/2282521engScodellaro, Lucab tagging in ATLAS and CMShep-exParticle Physics - ExperimentMany physics signals presently studied at the high energy collision experiments lead to final states with jets originating from heavy flavor quarks. This report reviews the algorithms for heavy flavor jets identification developed by the ATLAS and CMS Collaborations in view of the Run2 data taking period at the Large Hadron Collider. The improvements of the algorithms used in 2015 and 2016 data analyses with respect to previous data taking periods are discussed, as well as the ongoing developments in view of the next years of data taking. The measurements of the performance of the algorithms on data as well as the dedicated techniques for the identification of heavy flavor jets in events with boosted topologies are also presented. Finally, the effectiveness of heavy flavor jet identification in the complex environment expected during the high luminosity LHC phase is discussed.arXiv:1709.01290CMS-CR-2017-225oai:cds.cern.ch:22825212017
spellingShingle hep-ex
Particle Physics - Experiment
Scodellaro, Luca
b tagging in ATLAS and CMS
title b tagging in ATLAS and CMS
title_full b tagging in ATLAS and CMS
title_fullStr b tagging in ATLAS and CMS
title_full_unstemmed b tagging in ATLAS and CMS
title_short b tagging in ATLAS and CMS
title_sort b tagging in atlas and cms
topic hep-ex
Particle Physics - Experiment
url http://cds.cern.ch/record/2282521
work_keys_str_mv AT scodellaroluca btagginginatlasandcms