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Novel methods and expected Run II performance of ATLAS track reconstruction in dense environments

Detailed understanding and optimal track reconstruction performance of ATLAS in the core of high pT objects is paramount for a number of techniques such as jet energy and mass calibration, jet flavour tagging, and hadronic tau identification as well as measurements of physics quantities like jet fra...

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Autor principal: Facini, Gabriel John
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2021745
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author Facini, Gabriel John
author_facet Facini, Gabriel John
author_sort Facini, Gabriel John
collection CERN
description Detailed understanding and optimal track reconstruction performance of ATLAS in the core of high pT objects is paramount for a number of techniques such as jet energy and mass calibration, jet flavour tagging, and hadronic tau identification as well as measurements of physics quantities like jet fragmentation functions. These dense environments are characterized by charged particle separations on the order of the granularity of ATLAS’s inner detector. With the insertion of a new innermost layer in this tracking detector, which allows measurements closer to the interaction point, and an increase in the centre of mass energy, these difficult environments will become even more relevant in Run II, such as in searches for heavy resonances. Novel algorithmic developments to the ATLAS track reconstruction software targeting these topologies as well as the expected improved performance will be presented.
id cern-2021745
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
record_format invenio
spelling cern-20217452019-09-30T06:29:59Zhttp://cds.cern.ch/record/2021745engFacini, Gabriel JohnNovel methods and expected Run II performance of ATLAS track reconstruction in dense environmentsParticle Physics - ExperimentDetailed understanding and optimal track reconstruction performance of ATLAS in the core of high pT objects is paramount for a number of techniques such as jet energy and mass calibration, jet flavour tagging, and hadronic tau identification as well as measurements of physics quantities like jet fragmentation functions. These dense environments are characterized by charged particle separations on the order of the granularity of ATLAS’s inner detector. With the insertion of a new innermost layer in this tracking detector, which allows measurements closer to the interaction point, and an increase in the centre of mass energy, these difficult environments will become even more relevant in Run II, such as in searches for heavy resonances. Novel algorithmic developments to the ATLAS track reconstruction software targeting these topologies as well as the expected improved performance will be presented.ATL-INDET-SLIDE-2015-310oai:cds.cern.ch:20217452015-06-04
spellingShingle Particle Physics - Experiment
Facini, Gabriel John
Novel methods and expected Run II performance of ATLAS track reconstruction in dense environments
title Novel methods and expected Run II performance of ATLAS track reconstruction in dense environments
title_full Novel methods and expected Run II performance of ATLAS track reconstruction in dense environments
title_fullStr Novel methods and expected Run II performance of ATLAS track reconstruction in dense environments
title_full_unstemmed Novel methods and expected Run II performance of ATLAS track reconstruction in dense environments
title_short Novel methods and expected Run II performance of ATLAS track reconstruction in dense environments
title_sort novel methods and expected run ii performance of atlas track reconstruction in dense environments
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2021745
work_keys_str_mv AT facinigabrieljohn novelmethodsandexpectedruniiperformanceofatlastrackreconstructionindenseenvironments