Light-quark and gluon jet discrimination in pp collisions at √s = 7 TeV with the ATLAS detector
- Autores
- Alconada Verzini, María Josefina; Alonso, Francisco; Anduaga, Xabier Sebastián; Dova, María Teresa; Monticelli, Fernando Gabriel; Tripiana, Martín F.; The ATLAS Collaboration
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- A likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb−1 of proton–proton collision data at √s = 7 TeV collected with the ATLAS detector at the LHC. Data sampleswith enriched quark or gluon content are used in the construction and validation of templates of jet properties that are the input to the likelihood-based discriminant. The discriminating power of the jet tagger is established in both data and Monte Carlo samples within a systematic uncertainty of ≈ 10–20 %. In data, light-quark jets can be tagged with an efficiency of ≈ 50% while achieving a gluon-jet mis-tag rate of ≈ 25% in a pT range between 40 GeV and 360 GeV for jets in the acceptance of the tracker. The rejection of gluon-jets found in the data is significantly below what is attainable using a Pythia 6Monte Carlo simulation, where gluon-jet mis-tag rates of 10% can be reached for a 50% selection efficiency of light-quark jets using the same jet properties.
Facultad de Ciencias Exactas - Materia
-
Ciencias Exactas
Física
quarks
gluon
ATLAS detector
proton-proton collision - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-nd/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/72958
Ver los metadatos del registro completo
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Light-quark and gluon jet discrimination in pp collisions at √s = 7 TeV with the ATLAS detectorAlconada Verzini, María JosefinaAlonso, FranciscoAnduaga, Xabier SebastiánDova, María TeresaMonticelli, Fernando GabrielTripiana, Martín F.The ATLAS CollaborationCiencias ExactasFísicaquarksgluonATLAS detectorproton-proton collisionA likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb−1 of proton–proton collision data at √s = 7 TeV collected with the ATLAS detector at the LHC. Data sampleswith enriched quark or gluon content are used in the construction and validation of templates of jet properties that are the input to the likelihood-based discriminant. The discriminating power of the jet tagger is established in both data and Monte Carlo samples within a systematic uncertainty of ≈ 10–20 %. In data, light-quark jets can be tagged with an efficiency of ≈ 50% while achieving a gluon-jet mis-tag rate of ≈ 25% in a pT range between 40 GeV and 360 GeV for jets in the acceptance of the tracker. The rejection of gluon-jets found in the data is significantly below what is attainable using a Pythia 6Monte Carlo simulation, where gluon-jet mis-tag rates of 10% can be reached for a 50% selection efficiency of light-quark jets using the same jet properties.Facultad de Ciencias Exactas2014-08-21info: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/10915/72958enginfo:eu-repo/semantics/altIdentifier/issn/1434-6052info:eu-repo/semantics/altIdentifier/doi/10.1140/epjc/s10052-014-3023-zinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:11:58Zoai:sedici.unlp.edu.ar:10915/72958Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:11:58.736SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Light-quark and gluon jet discrimination in pp collisions at √s = 7 TeV with the ATLAS detector |
title |
Light-quark and gluon jet discrimination in pp collisions at √s = 7 TeV with the ATLAS detector |
spellingShingle |
Light-quark and gluon jet discrimination in pp collisions at √s = 7 TeV with the ATLAS detector Alconada Verzini, María Josefina Ciencias Exactas Física quarks gluon ATLAS detector proton-proton collision |
title_short |
Light-quark and gluon jet discrimination in pp collisions at √s = 7 TeV with the ATLAS detector |
title_full |
Light-quark and gluon jet discrimination in pp collisions at √s = 7 TeV with the ATLAS detector |
title_fullStr |
Light-quark and gluon jet discrimination in pp collisions at √s = 7 TeV with the ATLAS detector |
title_full_unstemmed |
Light-quark and gluon jet discrimination in pp collisions at √s = 7 TeV with the ATLAS detector |
title_sort |
Light-quark and gluon jet discrimination in pp collisions at √s = 7 TeV with the ATLAS detector |
dc.creator.none.fl_str_mv |
Alconada Verzini, María Josefina Alonso, Francisco Anduaga, Xabier Sebastián Dova, María Teresa Monticelli, Fernando Gabriel Tripiana, Martín F. The ATLAS Collaboration |
author |
Alconada Verzini, María Josefina |
author_facet |
Alconada Verzini, María Josefina Alonso, Francisco Anduaga, Xabier Sebastián Dova, María Teresa Monticelli, Fernando Gabriel Tripiana, Martín F. The ATLAS Collaboration |
author_role |
author |
author2 |
Alonso, Francisco Anduaga, Xabier Sebastián Dova, María Teresa Monticelli, Fernando Gabriel Tripiana, Martín F. The ATLAS Collaboration |
author2_role |
author author author author author author |
dc.subject.none.fl_str_mv |
Ciencias Exactas Física quarks gluon ATLAS detector proton-proton collision |
topic |
Ciencias Exactas Física quarks gluon ATLAS detector proton-proton collision |
dc.description.none.fl_txt_mv |
A likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb−1 of proton–proton collision data at √s = 7 TeV collected with the ATLAS detector at the LHC. Data sampleswith enriched quark or gluon content are used in the construction and validation of templates of jet properties that are the input to the likelihood-based discriminant. The discriminating power of the jet tagger is established in both data and Monte Carlo samples within a systematic uncertainty of ≈ 10–20 %. In data, light-quark jets can be tagged with an efficiency of ≈ 50% while achieving a gluon-jet mis-tag rate of ≈ 25% in a pT range between 40 GeV and 360 GeV for jets in the acceptance of the tracker. The rejection of gluon-jets found in the data is significantly below what is attainable using a Pythia 6Monte Carlo simulation, where gluon-jet mis-tag rates of 10% can be reached for a 50% selection efficiency of light-quark jets using the same jet properties. Facultad de Ciencias Exactas |
description |
A likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb−1 of proton–proton collision data at √s = 7 TeV collected with the ATLAS detector at the LHC. Data sampleswith enriched quark or gluon content are used in the construction and validation of templates of jet properties that are the input to the likelihood-based discriminant. The discriminating power of the jet tagger is established in both data and Monte Carlo samples within a systematic uncertainty of ≈ 10–20 %. In data, light-quark jets can be tagged with an efficiency of ≈ 50% while achieving a gluon-jet mis-tag rate of ≈ 25% in a pT range between 40 GeV and 360 GeV for jets in the acceptance of the tracker. The rejection of gluon-jets found in the data is significantly below what is attainable using a Pythia 6Monte Carlo simulation, where gluon-jet mis-tag rates of 10% can be reached for a 50% selection efficiency of light-quark jets using the same jet properties. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-08-21 |
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/10915/72958 |
url |
http://sedici.unlp.edu.ar/handle/10915/72958 |
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/s10052-014-3023-z |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) |
dc.format.none.fl_str_mv |
application/pdf |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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