Jet reconstruction and performance using particle flow with the ATLAS Detector
- Autores
- Alconada Verzini, María Josefina; Alonso, Francisco; Arduh, Francisco Anuar; Dova, María Teresa; Hoya, Joaquín; Monticelli, Fernando Gabriel; Wahlberg, Hernán Pablo; The ATLAS Collaboration
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb-1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability.
Facultad de Ciencias Exactas - Materia
-
Ciencias Exactas
Física
jet energy
flow algorithm
ATLAS detector - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/81892
Ver los metadatos del registro completo
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Jet reconstruction and performance using particle flow with the ATLAS DetectorAlconada Verzini, María JosefinaAlonso, FranciscoArduh, Francisco AnuarDova, María TeresaHoya, JoaquínMonticelli, Fernando GabrielWahlberg, Hernán PabloThe ATLAS CollaborationCiencias ExactasFísicajet energyflow algorithmATLAS detectorThis paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb-1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability.Facultad de Ciencias Exactas2017-07-13info: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/10915/81892enginfo:eu-repo/semantics/altIdentifier/issn/1434-6052info:eu-repo/semantics/altIdentifier/doi/10.1140/epjc/s10052-017-5031-2info: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:UNLP2025-09-29T11:15:17Zoai:sedici.unlp.edu.ar:10915/81892Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:15:17.512SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Jet reconstruction and performance using particle flow with the ATLAS Detector |
title |
Jet reconstruction and performance using particle flow with the ATLAS Detector |
spellingShingle |
Jet reconstruction and performance using particle flow with the ATLAS Detector Alconada Verzini, María Josefina Ciencias Exactas Física jet energy flow algorithm ATLAS detector |
title_short |
Jet reconstruction and performance using particle flow with the ATLAS Detector |
title_full |
Jet reconstruction and performance using particle flow with the ATLAS Detector |
title_fullStr |
Jet reconstruction and performance using particle flow with the ATLAS Detector |
title_full_unstemmed |
Jet reconstruction and performance using particle flow with the ATLAS Detector |
title_sort |
Jet reconstruction and performance using particle flow with the ATLAS Detector |
dc.creator.none.fl_str_mv |
Alconada Verzini, María Josefina Alonso, Francisco Arduh, Francisco Anuar Dova, María Teresa Hoya, Joaquín 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 Hoya, Joaquín Monticelli, Fernando Gabriel Wahlberg, Hernán Pablo The ATLAS Collaboration |
author_role |
author |
author2 |
Alonso, Francisco Arduh, Francisco Anuar Dova, María Teresa Hoya, Joaquín Monticelli, Fernando Gabriel Wahlberg, Hernán Pablo The ATLAS Collaboration |
author2_role |
author author author author author author author |
dc.subject.none.fl_str_mv |
Ciencias Exactas Física jet energy flow algorithm ATLAS detector |
topic |
Ciencias Exactas Física jet energy flow algorithm ATLAS detector |
dc.description.none.fl_txt_mv |
This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb-1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability. Facultad de Ciencias Exactas |
description |
This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb-1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-07-13 |
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/10915/81892 |
url |
http://sedici.unlp.edu.ar/handle/10915/81892 |
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/s10052-017-5031-2 |
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 |
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http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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application/pdf |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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