Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1

The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell s...

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Detalles Bibliográficos
Autores: Alconada Verzini, María Josefina, Alonso, Francisco, Arduh, Francisco Anuar, Dova, María Teresa, Monticelli, Fernando Gabriel, Wahlberg, Hernán Pablo, The ATLAS Collaboration
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:Argentina
Institución:Universidad Nacional de La Plata
Repositorio:SEDICI (UNLP)
Idioma:inglés
OAI Identifier:oai:sedici.unlp.edu.ar:10915/79338
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/79338
Access Level:acceso abierto
Palabra clave:Ciencias Exactas
Física
hadrons
jets
proton-proton collisions
ATLAS experiment
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spelling Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1Alconada Verzini, María JosefinaAlonso, FranciscoArduh, Francisco AnuarDova, María TeresaMonticelli, Fernando GabrielWahlberg, Hernán PabloThe ATLAS CollaborationCiencias ExactasFísicahadronsjetsproton-proton collisionsATLAS experimentThe reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a wellperforming calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS.Facultad de Ciencias Exactas2017-07-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/79338enginfo:eu-repo/semantics/altIdentifier/issn/1434-6052info:eu-repo/semantics/altIdentifier/doi/10.1140/epjc/s10052-017-5004-5info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/4.0/Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2024-05-08T12:50:36Zoai:sedici.unlp.edu.ar:10915/79338Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292024-05-08 12:50:36.495SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
title Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
spellingShingle Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
Alconada Verzini, María Josefina
Ciencias Exactas
Física
hadrons
jets
proton-proton collisions
ATLAS experiment
title_short Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
title_full Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
title_fullStr Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
title_full_unstemmed Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
title_sort Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
dc.creator.none.fl_str_mv Alconada Verzini, María Josefina
Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Monticelli, Fernando Gabriel
Wahlberg, Hernán Pablo
The ATLAS Collaboration
author Alconada Verzini, María Josefina
author_facet Alconada Verzini, María Josefina
Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Monticelli, Fernando Gabriel
Wahlberg, Hernán Pablo
The ATLAS Collaboration
author_role author
author2 Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Monticelli, Fernando Gabriel
Wahlberg, Hernán Pablo
The ATLAS Collaboration
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Exactas
Física
hadrons
jets
proton-proton collisions
ATLAS experiment
topic Ciencias Exactas
Física
hadrons
jets
proton-proton collisions
ATLAS experiment
description The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a wellperforming calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS.
publishDate 2017
dc.date.none.fl_str_mv 2017-07-24
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/79338
url http://sedici.unlp.edu.ar/handle/10915/79338
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1434-6052
info:eu-repo/semantics/altIdentifier/doi/10.1140/epjc/s10052-017-5004-5
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-sa/4.0/
Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-sa/4.0/
Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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