Jet and underlying event properties as a function of charged-particle multiplicity in proton–proton collisions at $\sqrt{s}$ = 7 TeV

Detalhes bibliográficos
Autor(a) principal: CMS collaboration (2224 authors)
Data de Publicação: 2013
Outros Autores: Hollar, Jonathan, Nayak, Aruna, Calpas, Betty, Almeida, Nuno, Bargassa, Pedrame, Beirão Da Cruz E Silva, Cristóvão, Faccioli, Pietro, Ferreira Parracho, Pedro Guilherme, Gallinaro, Michele, Nguyen, Federico, Rodrigues Antunes, Joao, Seixas, Joao, Varela, Joao, Vischia, Pietro, Lloret Iglesias, Lara, David Tinoco Mendes, Andre, Musella, Pasquale, Silva, Pedro, Pela, Joao, Leonardo, Nuno
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/26488
Resumo: Characteristics of multi-particle production in proton-proton collisions at $\sqrt{s}$=7 TeV are studied as a function of the charged-particle multiplicity, $N_{ch}$. The produced particles are separated into two classes: those belonging to jets and those belonging to the underlying event. Charged particles are measured with pseudorapidity |η|<2.4 and transverse momentum $p_T$ > 0.25 GeV/c. Jets are reconstructed from charged-particles only and required to have $p_T$ > 5 GeV/c. The distributions of jet $p_T$, average $p_T$ of charged particles belonging to the underlying event or to jets, jet rates, and jet shapes are presented as functions of $N_{ch}$ and compared to the predictions of the PYTHIA and HERWIG event generators. Predictions without multi-parton interactions fail completely to describe the $N_{ch}$-dependence observed in the data. For increasing $N_{ch}$, PYTHIA systematically predicts higher jet rates and harder $p_T$ spectra than seen in the data, whereas HERWIG shows the opposite trends. At the highest multiplicity, the data–model agreement is worse for most observables, indicating the need for further tuning and/or new model ingredients.
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spelling Jet and underlying event properties as a function of charged-particle multiplicity in proton–proton collisions at $\sqrt{s}$ = 7 TeVCharacteristics of multi-particle production in proton-proton collisions at $\sqrt{s}$=7 TeV are studied as a function of the charged-particle multiplicity, $N_{ch}$. The produced particles are separated into two classes: those belonging to jets and those belonging to the underlying event. Charged particles are measured with pseudorapidity |η|<2.4 and transverse momentum $p_T$ > 0.25 GeV/c. Jets are reconstructed from charged-particles only and required to have $p_T$ > 5 GeV/c. The distributions of jet $p_T$, average $p_T$ of charged particles belonging to the underlying event or to jets, jet rates, and jet shapes are presented as functions of $N_{ch}$ and compared to the predictions of the PYTHIA and HERWIG event generators. Predictions without multi-parton interactions fail completely to describe the $N_{ch}$-dependence observed in the data. For increasing $N_{ch}$, PYTHIA systematically predicts higher jet rates and harder $p_T$ spectra than seen in the data, whereas HERWIG shows the opposite trends. At the highest multiplicity, the data–model agreement is worse for most observables, indicating the need for further tuning and/or new model ingredients.Repositório ComumCMS collaboration (2224 authors)Hollar, JonathanNayak, ArunaCalpas, BettyAlmeida, NunoBargassa, PedrameBeirão Da Cruz E Silva, CristóvãoFaccioli, PietroFerreira Parracho, Pedro GuilhermeGallinaro, MicheleNguyen, FedericoRodrigues Antunes, JoaoSeixas, JoaoVarela, JoaoVischia, PietroLloret Iglesias, LaraDavid Tinoco Mendes, AndreMusella, PasqualeSilva, PedroPela, JoaoLeonardo, Nuno2019-02-03T23:36:01Z2013-12-112019-02-03T23:36:01Z2013-12-11T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/26488enghttp://dx.doi.org/10.1140/epjc/s10052-013-2674-5info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T06:25:47Zoai:comum.rcaap.pt:10400.26/26488Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:53:33.484655Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Jet and underlying event properties as a function of charged-particle multiplicity in proton–proton collisions at $\sqrt{s}$ = 7 TeV
title Jet and underlying event properties as a function of charged-particle multiplicity in proton–proton collisions at $\sqrt{s}$ = 7 TeV
spellingShingle Jet and underlying event properties as a function of charged-particle multiplicity in proton–proton collisions at $\sqrt{s}$ = 7 TeV
CMS collaboration (2224 authors)
title_short Jet and underlying event properties as a function of charged-particle multiplicity in proton–proton collisions at $\sqrt{s}$ = 7 TeV
title_full Jet and underlying event properties as a function of charged-particle multiplicity in proton–proton collisions at $\sqrt{s}$ = 7 TeV
title_fullStr Jet and underlying event properties as a function of charged-particle multiplicity in proton–proton collisions at $\sqrt{s}$ = 7 TeV
title_full_unstemmed Jet and underlying event properties as a function of charged-particle multiplicity in proton–proton collisions at $\sqrt{s}$ = 7 TeV
title_sort Jet and underlying event properties as a function of charged-particle multiplicity in proton–proton collisions at $\sqrt{s}$ = 7 TeV
author CMS collaboration (2224 authors)
author_facet CMS collaboration (2224 authors)
Hollar, Jonathan
Nayak, Aruna
Calpas, Betty
Almeida, Nuno
Bargassa, Pedrame
Beirão Da Cruz E Silva, Cristóvão
Faccioli, Pietro
Ferreira Parracho, Pedro Guilherme
Gallinaro, Michele
Nguyen, Federico
Rodrigues Antunes, Joao
Seixas, Joao
Varela, Joao
Vischia, Pietro
Lloret Iglesias, Lara
David Tinoco Mendes, Andre
Musella, Pasquale
Silva, Pedro
Pela, Joao
Leonardo, Nuno
author_role author
author2 Hollar, Jonathan
Nayak, Aruna
Calpas, Betty
Almeida, Nuno
Bargassa, Pedrame
Beirão Da Cruz E Silva, Cristóvão
Faccioli, Pietro
Ferreira Parracho, Pedro Guilherme
Gallinaro, Michele
Nguyen, Federico
Rodrigues Antunes, Joao
Seixas, Joao
Varela, Joao
Vischia, Pietro
Lloret Iglesias, Lara
David Tinoco Mendes, Andre
Musella, Pasquale
Silva, Pedro
Pela, Joao
Leonardo, Nuno
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv CMS collaboration (2224 authors)
Hollar, Jonathan
Nayak, Aruna
Calpas, Betty
Almeida, Nuno
Bargassa, Pedrame
Beirão Da Cruz E Silva, Cristóvão
Faccioli, Pietro
Ferreira Parracho, Pedro Guilherme
Gallinaro, Michele
Nguyen, Federico
Rodrigues Antunes, Joao
Seixas, Joao
Varela, Joao
Vischia, Pietro
Lloret Iglesias, Lara
David Tinoco Mendes, Andre
Musella, Pasquale
Silva, Pedro
Pela, Joao
Leonardo, Nuno
description Characteristics of multi-particle production in proton-proton collisions at $\sqrt{s}$=7 TeV are studied as a function of the charged-particle multiplicity, $N_{ch}$. The produced particles are separated into two classes: those belonging to jets and those belonging to the underlying event. Charged particles are measured with pseudorapidity |η|<2.4 and transverse momentum $p_T$ > 0.25 GeV/c. Jets are reconstructed from charged-particles only and required to have $p_T$ > 5 GeV/c. The distributions of jet $p_T$, average $p_T$ of charged particles belonging to the underlying event or to jets, jet rates, and jet shapes are presented as functions of $N_{ch}$ and compared to the predictions of the PYTHIA and HERWIG event generators. Predictions without multi-parton interactions fail completely to describe the $N_{ch}$-dependence observed in the data. For increasing $N_{ch}$, PYTHIA systematically predicts higher jet rates and harder $p_T$ spectra than seen in the data, whereas HERWIG shows the opposite trends. At the highest multiplicity, the data–model agreement is worse for most observables, indicating the need for further tuning and/or new model ingredients.
publishDate 2013
dc.date.none.fl_str_mv 2013-12-11
2013-12-11T00:00:00Z
2019-02-03T23:36:01Z
2019-02-03T23:36:01Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.26/26488
url http://hdl.handle.net/10400.26/26488
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://dx.doi.org/10.1140/epjc/s10052-013-2674-5
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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