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Tau Identification: Applications to Physics Searches at ATLAS

In the ATLAS detector, hadronic decays of tau leptons are reconstructed as collimated jets with low track multiplicity. Due to the background from QCD multijet processes, efficient tau identification techniques with large jet rejection are essential. Since single variable criteria are not enough to...

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Autor principal: Ideal, E
Lenguaje:eng
Publicado: 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/1559314
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author Ideal, E
author_facet Ideal, E
author_sort Ideal, E
collection CERN
description In the ATLAS detector, hadronic decays of tau leptons are reconstructed as collimated jets with low track multiplicity. Due to the background from QCD multijet processes, efficient tau identification techniques with large jet rejection are essential. Since single variable criteria are not enough to efficiently separate them from jets and electrons, modern multivariate techniques are used. In ATLAS, several advanced algorithms are applied to identify taus, including a projective likelihood estimator and boosted decision trees. All multivariate methods use several variables exploiting detailed information from calorimeter and tracking detectors. The algorithms and their performance are presented in details, using high energy data collected at the ATLAS experiment during the 2012 run and simulation data. Examples from physics searches benefiting from the various aspects of performance will be included.
id cern-1559314
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
record_format invenio
spelling cern-15593142019-09-30T06:29:59Zhttp://cds.cern.ch/record/1559314engIdeal, ETau Identification: Applications to Physics Searches at ATLASDetectors and Experimental TechniquesIn the ATLAS detector, hadronic decays of tau leptons are reconstructed as collimated jets with low track multiplicity. Due to the background from QCD multijet processes, efficient tau identification techniques with large jet rejection are essential. Since single variable criteria are not enough to efficiently separate them from jets and electrons, modern multivariate techniques are used. In ATLAS, several advanced algorithms are applied to identify taus, including a projective likelihood estimator and boosted decision trees. All multivariate methods use several variables exploiting detailed information from calorimeter and tracking detectors. The algorithms and their performance are presented in details, using high energy data collected at the ATLAS experiment during the 2012 run and simulation data. Examples from physics searches benefiting from the various aspects of performance will be included.ATL-PHYS-SLIDE-2013-436oai:cds.cern.ch:15593142013-07-03
spellingShingle Detectors and Experimental Techniques
Ideal, E
Tau Identification: Applications to Physics Searches at ATLAS
title Tau Identification: Applications to Physics Searches at ATLAS
title_full Tau Identification: Applications to Physics Searches at ATLAS
title_fullStr Tau Identification: Applications to Physics Searches at ATLAS
title_full_unstemmed Tau Identification: Applications to Physics Searches at ATLAS
title_short Tau Identification: Applications to Physics Searches at ATLAS
title_sort tau identification: applications to physics searches at atlas
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/1559314
work_keys_str_mv AT ideale tauidentificationapplicationstophysicssearchesatatlas