Performance of jet substructure techniques for large-R jets in proton-proton collisions at √s = 7 TeV using the ATLAS detector
- Autores
- Alonso, Francisco; Anduaga, Xabier Sebastián; Dova, María Teresa; Monticelli, Fernando Gabriel; Tripiana, Martín F.; The ATLAS Collaboration
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This paper presents the application of a variety of techniques to study jet substructure. The performance of various modified jet algorithms, or jet grooming techniques, for several jet types and event topologies is investigated for jets with transverse momentum larger than 300 GeV. Properties of jets subjected to the mass-drop filtering, trimming, and pruning algorithms are found to have a reduced sensitivity to multiple proton-proton interactions, are more stable at high luminosity and improve the physics potential of searches for heavy boosted objects. Studies of the expected discrimination power of jet mass and jet substructure observables in searches for new physics are also presented. Event samples enriched in boosted W and Z bosons and top-quark pairs are used to study both the individual jet invariant mass scales and the efficacy of algorithms to tag boosted hadronic objects. The analyses presented use the full 2011 ATLAS dataset, corresponding to an integrated luminosity of 4.7 ± 0.1 fb−1 from proton-proton collisions produced by the Large Hadron Collider at a centre-of-mass energy of s√=7 TeV.
Facultad de Ciencias Exactas - Materia
-
Ciencias Exactas
Física
hadron-hadron scattering
proton–proton collision
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:10915/78473
Ver los metadatos del registro completo
id |
SEDICI_0e6e443da8212cac60f73b662301c2c4 |
---|---|
oai_identifier_str |
oai:sedici.unlp.edu.ar:10915/78473 |
network_acronym_str |
SEDICI |
repository_id_str |
1329 |
network_name_str |
SEDICI (UNLP) |
spelling |
Performance of jet substructure techniques for large-R jets in proton-proton collisions at √s = 7 TeV using the ATLAS detectorAlonso, FranciscoAnduaga, Xabier SebastiánDova, María TeresaMonticelli, Fernando GabrielTripiana, Martín F.The ATLAS CollaborationCiencias ExactasFísicahadron-hadron scatteringproton–proton collisionATLAS detectorThis paper presents the application of a variety of techniques to study jet substructure. The performance of various modified jet algorithms, or jet grooming techniques, for several jet types and event topologies is investigated for jets with transverse momentum larger than 300 GeV. Properties of jets subjected to the mass-drop filtering, trimming, and pruning algorithms are found to have a reduced sensitivity to multiple proton-proton interactions, are more stable at high luminosity and improve the physics potential of searches for heavy boosted objects. Studies of the expected discrimination power of jet mass and jet substructure observables in searches for new physics are also presented. Event samples enriched in boosted W and Z bosons and top-quark pairs are used to study both the individual jet invariant mass scales and the efficacy of algorithms to tag boosted hadronic objects. The analyses presented use the full 2011 ATLAS dataset, corresponding to an integrated luminosity of 4.7 ± 0.1 fb−1 from proton-proton collisions produced by the Large Hadron Collider at a centre-of-mass energy of s√=7 TeV.Facultad de Ciencias Exactas2013-09-13info: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/10915/78473enginfo:eu-repo/semantics/altIdentifier/issn/1029-8479info:eu-repo/semantics/altIdentifier/doi/10.1007/JHEP09(2013)076info: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:UNLP2025-09-29T11:12:03Zoai:sedici.unlp.edu.ar:10915/78473Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:12:03.698SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Performance of jet substructure techniques for large-R jets in proton-proton collisions at √s = 7 TeV using the ATLAS detector |
title |
Performance of jet substructure techniques for large-R jets in proton-proton collisions at √s = 7 TeV using the ATLAS detector |
spellingShingle |
Performance of jet substructure techniques for large-R jets in proton-proton collisions at √s = 7 TeV using the ATLAS detector Alonso, Francisco Ciencias Exactas Física hadron-hadron scattering proton–proton collision ATLAS detector |
title_short |
Performance of jet substructure techniques for large-R jets in proton-proton collisions at √s = 7 TeV using the ATLAS detector |
title_full |
Performance of jet substructure techniques for large-R jets in proton-proton collisions at √s = 7 TeV using the ATLAS detector |
title_fullStr |
Performance of jet substructure techniques for large-R jets in proton-proton collisions at √s = 7 TeV using the ATLAS detector |
title_full_unstemmed |
Performance of jet substructure techniques for large-R jets in proton-proton collisions at √s = 7 TeV using the ATLAS detector |
title_sort |
Performance of jet substructure techniques for large-R jets in proton-proton collisions at √s = 7 TeV using the ATLAS detector |
dc.creator.none.fl_str_mv |
Alonso, Francisco Anduaga, Xabier Sebastián Dova, María Teresa Monticelli, Fernando Gabriel Tripiana, Martín F. The ATLAS Collaboration |
author |
Alonso, Francisco |
author_facet |
Alonso, Francisco Anduaga, Xabier Sebastián Dova, María Teresa Monticelli, Fernando Gabriel Tripiana, Martín F. The ATLAS Collaboration |
author_role |
author |
author2 |
Anduaga, Xabier Sebastián Dova, María Teresa Monticelli, Fernando Gabriel Tripiana, Martín F. The ATLAS Collaboration |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
Ciencias Exactas Física hadron-hadron scattering proton–proton collision ATLAS detector |
topic |
Ciencias Exactas Física hadron-hadron scattering proton–proton collision ATLAS detector |
dc.description.none.fl_txt_mv |
This paper presents the application of a variety of techniques to study jet substructure. The performance of various modified jet algorithms, or jet grooming techniques, for several jet types and event topologies is investigated for jets with transverse momentum larger than 300 GeV. Properties of jets subjected to the mass-drop filtering, trimming, and pruning algorithms are found to have a reduced sensitivity to multiple proton-proton interactions, are more stable at high luminosity and improve the physics potential of searches for heavy boosted objects. Studies of the expected discrimination power of jet mass and jet substructure observables in searches for new physics are also presented. Event samples enriched in boosted W and Z bosons and top-quark pairs are used to study both the individual jet invariant mass scales and the efficacy of algorithms to tag boosted hadronic objects. The analyses presented use the full 2011 ATLAS dataset, corresponding to an integrated luminosity of 4.7 ± 0.1 fb−1 from proton-proton collisions produced by the Large Hadron Collider at a centre-of-mass energy of s√=7 TeV. Facultad de Ciencias Exactas |
description |
This paper presents the application of a variety of techniques to study jet substructure. The performance of various modified jet algorithms, or jet grooming techniques, for several jet types and event topologies is investigated for jets with transverse momentum larger than 300 GeV. Properties of jets subjected to the mass-drop filtering, trimming, and pruning algorithms are found to have a reduced sensitivity to multiple proton-proton interactions, are more stable at high luminosity and improve the physics potential of searches for heavy boosted objects. Studies of the expected discrimination power of jet mass and jet substructure observables in searches for new physics are also presented. Event samples enriched in boosted W and Z bosons and top-quark pairs are used to study both the individual jet invariant mass scales and the efficacy of algorithms to tag boosted hadronic objects. The analyses presented use the full 2011 ATLAS dataset, corresponding to an integrated luminosity of 4.7 ± 0.1 fb−1 from proton-proton collisions produced by the Large Hadron Collider at a centre-of-mass energy of s√=7 TeV. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-09-13 |
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/10915/78473 |
url |
http://sedici.unlp.edu.ar/handle/10915/78473 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/issn/1029-8479 info:eu-repo/semantics/altIdentifier/doi/10.1007/JHEP09(2013)076 |
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 |
_version_ |
1844615990697000960 |
score |
13.070432 |