Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV
- Autores
- Alconada Verzini, María Josefina; 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
- 2019
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Algorithms used for the reconstruction and identification of electrons in the central region of the ATLAS detector at the Large Hadron Collider (LHC) are presented in this paper; these algorithms are used in ATLAS physics analyses that involve electrons in the final state and which are based on the 2015 and 2016 proton–proton collision data produced by the LHC at s√ = 13 TeV. The performance of the electron reconstruction, identification, isolation, and charge identification algorithms is evaluated in data and in simulated samples using electrons from Z→ee and J/ψ→ee decays. Typical examples of combinations of electron reconstruction, identification, and isolation operating points used in ATLAS physics analyses are shown.
La lista completa de autores puede verse al final del archivo asociado.
Instituto de Física La Plata - Materia
-
Física
Physics
Collision
Electron
Atlas (topology)
Nuclear physics
Atlas experiment
Particle identification
Atlas detector
Large hadron collider
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:10915/125015
Ver los metadatos del registro completo
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Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeVAlconada Verzini, María JosefinaAlonso, FranciscoArduh, Francisco AnuarDova, María TeresaHoya, JoaquínMonticelli, Fernando GabrielOrellana, Gonzalo EnriqueWahlberg, Hernán PabloThe ATLAS CollaborationFísicaPhysicsCollisionElectronAtlas (topology)Nuclear physicsAtlas experimentParticle identificationAtlas detectorLarge hadron colliderDetectorAlgorithms used for the reconstruction and identification of electrons in the central region of the ATLAS detector at the Large Hadron Collider (LHC) are presented in this paper; these algorithms are used in ATLAS physics analyses that involve electrons in the final state and which are based on the 2015 and 2016 proton–proton collision data produced by the LHC at s√ = 13 TeV. The performance of the electron reconstruction, identification, isolation, and charge identification algorithms is evaluated in data and in simulated samples using electrons from Z→ee and J/ψ→ee decays. Typical examples of combinations of electron reconstruction, identification, and isolation operating points used in ATLAS physics analyses are shown.La lista completa de autores puede verse al final del archivo asociado.Instituto de Física La Plata2019info: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/10915/125015enginfo:eu-repo/semantics/altIdentifier/issn/1434-6044info:eu-repo/semantics/altIdentifier/issn/1434-6052info:eu-repo/semantics/altIdentifier/doi/10.1140/epjc/s10052-019-7140-6info: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:UNLP2025-09-17T10:12:38Zoai:sedici.unlp.edu.ar:10915/125015Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-17 10:12:38.413SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV |
title |
Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV |
spellingShingle |
Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV Alconada Verzini, María Josefina Física Physics Collision Electron Atlas (topology) Nuclear physics Atlas experiment Particle identification Atlas detector Large hadron collider Detector |
title_short |
Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV |
title_full |
Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV |
title_fullStr |
Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV |
title_full_unstemmed |
Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV |
title_sort |
Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV |
dc.creator.none.fl_str_mv |
Alconada Verzini, María Josefina Alonso, Francisco Arduh, Francisco Anuar Dova, María Teresa Hoya, Joaquín Monticelli, Fernando Gabriel Orellana, Gonzalo Enrique 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 Orellana, Gonzalo Enrique Wahlberg, Hernán Pablo The ATLAS Collaboration |
author_role |
author |
author2 |
Alonso, Francisco 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 author |
dc.subject.none.fl_str_mv |
Física Physics Collision Electron Atlas (topology) Nuclear physics Atlas experiment Particle identification Atlas detector Large hadron collider Detector |
topic |
Física Physics Collision Electron Atlas (topology) Nuclear physics Atlas experiment Particle identification Atlas detector Large hadron collider Detector |
dc.description.none.fl_txt_mv |
Algorithms used for the reconstruction and identification of electrons in the central region of the ATLAS detector at the Large Hadron Collider (LHC) are presented in this paper; these algorithms are used in ATLAS physics analyses that involve electrons in the final state and which are based on the 2015 and 2016 proton–proton collision data produced by the LHC at s√ = 13 TeV. The performance of the electron reconstruction, identification, isolation, and charge identification algorithms is evaluated in data and in simulated samples using electrons from Z→ee and J/ψ→ee decays. Typical examples of combinations of electron reconstruction, identification, and isolation operating points used in ATLAS physics analyses are shown. La lista completa de autores puede verse al final del archivo asociado. Instituto de Física La Plata |
description |
Algorithms used for the reconstruction and identification of electrons in the central region of the ATLAS detector at the Large Hadron Collider (LHC) are presented in this paper; these algorithms are used in ATLAS physics analyses that involve electrons in the final state and which are based on the 2015 and 2016 proton–proton collision data produced by the LHC at s√ = 13 TeV. The performance of the electron reconstruction, identification, isolation, and charge identification algorithms is evaluated in data and in simulated samples using electrons from Z→ee and J/ψ→ee decays. Typical examples of combinations of electron reconstruction, identification, and isolation operating points used in ATLAS physics analyses are shown. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 |
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/10915/125015 |
url |
http://sedici.unlp.edu.ar/handle/10915/125015 |
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/s10052-019-7140-6 |
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 |
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Universidad Nacional de La Plata |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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alira@sedici.unlp.edu.ar |
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