Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton–proton collisions

Autores
Alonso, Francisco; Arduh, Francisco Anuar; Dova, María Teresa; Hoya, Joaquín; Monticelli, Fernando Gabriel; Orellana, Gonzalo Enrique; Wahlberg, Hernán Pablo; The ATLAS Collaboration
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Jet substructure has provided new opportunities for searches and measurements at the LHC, and has seen continuous development since the optimization of the large-radius jet definition used by ATLAS was performed during Run 1. A range of new inputs to jet reconstruction, pile-up mitigation techniques and jet grooming algorithms motivate an optimisation of large-radius jet reconstruction for ATLAS. In this paper, this optimisation procedure is presented, and the performance of a wide range of large-radius jet definitions is compared. The relative performance of these jet definitions is assessed using metrics such as their pileup stability, ability to identify hadronically decaying W bosons and top quarks with large transverse momenta. A new type of jet input object, called a ‘unified flow object’ is introduced which combines calorimeter- and inner-detector-based signals in order to achieve optimal performance across a wide kinematic range. Large-radius jet definitions are identified which significantly improve on the current ATLAS baseline definition, and their modelling is studied using pp collisions recorded by the ATLAS detector at √s=13TeV during 2017.
Instituto de Física La Plata
Materia
Física
Particle physics
Physics
Atlas (topology)
Parton
Top quark
Kinematics
Boson
Large hadron collider
Detector
Substructure
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/125108

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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton–proton collisionsAlonso, FranciscoArduh, Francisco AnuarDova, María TeresaHoya, JoaquínMonticelli, Fernando GabrielOrellana, Gonzalo EnriqueWahlberg, Hernán PabloThe ATLAS CollaborationFísicaParticle physicsPhysicsAtlas (topology)PartonTop quarkKinematicsBosonLarge hadron colliderDetectorSubstructureJet substructure has provided new opportunities for searches and measurements at the LHC, and has seen continuous development since the optimization of the large-radius jet definition used by ATLAS was performed during Run 1. A range of new inputs to jet reconstruction, pile-up mitigation techniques and jet grooming algorithms motivate an optimisation of large-radius jet reconstruction for ATLAS. In this paper, this optimisation procedure is presented, and the performance of a wide range of large-radius jet definitions is compared. The relative performance of these jet definitions is assessed using metrics such as their pileup stability, ability to identify hadronically decaying W bosons and top quarks with large transverse momenta. A new type of jet input object, called a ‘unified flow object’ is introduced which combines calorimeter- and inner-detector-based signals in order to achieve optimal performance across a wide kinematic range. Large-radius jet definitions are identified which significantly improve on the current ATLAS baseline definition, and their modelling is studied using pp collisions recorded by the ATLAS detector at √s=13TeV during 2017.Instituto de Física La Plata2021info: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/10915/125108enginfo:eu-repo/semantics/altIdentifier/issn/1434-6044info:eu-repo/semantics/altIdentifier/issn/1434-6052info:eu-repo/semantics/altIdentifier/doi/10.1140/epjc/s10052-021-09054-3info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:21:42Zoai:sedici.unlp.edu.ar:10915/125108Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:21:42.765SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton–proton collisions
title Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton–proton collisions
spellingShingle Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton–proton collisions
Alonso, Francisco
Física
Particle physics
Physics
Atlas (topology)
Parton
Top quark
Kinematics
Boson
Large hadron collider
Detector
Substructure
title_short Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton–proton collisions
title_full Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton–proton collisions
title_fullStr Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton–proton collisions
title_full_unstemmed Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton–proton collisions
title_sort Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton–proton collisions
dc.creator.none.fl_str_mv Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Hoya, Joaquín
Monticelli, Fernando Gabriel
Orellana, Gonzalo Enrique
Wahlberg, Hernán Pablo
The ATLAS Collaboration
author Alonso, Francisco
author_facet Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Hoya, Joaquín
Monticelli, Fernando Gabriel
Orellana, Gonzalo Enrique
Wahlberg, Hernán Pablo
The ATLAS Collaboration
author_role author
author2 Arduh, Francisco Anuar
Dova, María Teresa
Hoya, Joaquín
Monticelli, Fernando Gabriel
Orellana, Gonzalo Enrique
Wahlberg, Hernán Pablo
The ATLAS Collaboration
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Física
Particle physics
Physics
Atlas (topology)
Parton
Top quark
Kinematics
Boson
Large hadron collider
Detector
Substructure
topic Física
Particle physics
Physics
Atlas (topology)
Parton
Top quark
Kinematics
Boson
Large hadron collider
Detector
Substructure
dc.description.none.fl_txt_mv Jet substructure has provided new opportunities for searches and measurements at the LHC, and has seen continuous development since the optimization of the large-radius jet definition used by ATLAS was performed during Run 1. A range of new inputs to jet reconstruction, pile-up mitigation techniques and jet grooming algorithms motivate an optimisation of large-radius jet reconstruction for ATLAS. In this paper, this optimisation procedure is presented, and the performance of a wide range of large-radius jet definitions is compared. The relative performance of these jet definitions is assessed using metrics such as their pileup stability, ability to identify hadronically decaying W bosons and top quarks with large transverse momenta. A new type of jet input object, called a ‘unified flow object’ is introduced which combines calorimeter- and inner-detector-based signals in order to achieve optimal performance across a wide kinematic range. Large-radius jet definitions are identified which significantly improve on the current ATLAS baseline definition, and their modelling is studied using pp collisions recorded by the ATLAS detector at √s=13TeV during 2017.
Instituto de Física La Plata
description Jet substructure has provided new opportunities for searches and measurements at the LHC, and has seen continuous development since the optimization of the large-radius jet definition used by ATLAS was performed during Run 1. A range of new inputs to jet reconstruction, pile-up mitigation techniques and jet grooming algorithms motivate an optimisation of large-radius jet reconstruction for ATLAS. In this paper, this optimisation procedure is presented, and the performance of a wide range of large-radius jet definitions is compared. The relative performance of these jet definitions is assessed using metrics such as their pileup stability, ability to identify hadronically decaying W bosons and top quarks with large transverse momenta. A new type of jet input object, called a ‘unified flow object’ is introduced which combines calorimeter- and inner-detector-based signals in order to achieve optimal performance across a wide kinematic range. Large-radius jet definitions are identified which significantly improve on the current ATLAS baseline definition, and their modelling is studied using pp collisions recorded by the ATLAS detector at √s=13TeV during 2017.
publishDate 2021
dc.date.none.fl_str_mv 2021
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/10915/125108
url http://sedici.unlp.edu.ar/handle/10915/125108
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1434-6044
info:eu-repo/semantics/altIdentifier/issn/1434-6052
info:eu-repo/semantics/altIdentifier/doi/10.1140/epjc/s10052-021-09054-3
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 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
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution 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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