Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV

Detalhes bibliográficos
Autor(a) principal: CMS collaboration (2265 authors)
Data de Publicação: 2018
Outros Autores: Nayak, Aruna, Bargassa, Pedrame, Beirão Da Cruz E Silva, Cristóvão, Di Francesco, Agostino, Faccioli, Pietro, Galinhas, Bruno, Gallinaro, Michele, Hollar, Jonathan, Leonardo, Nuno, Lloret Iglesias, Lara, Seixas, Joao, Strong, Giles, Toldaiev, Oleksii, Vadruccio, Daniele, Varela, Joao, Vischia, Pietro, David Tinoco Mendes, Andre, Silva, Pedro, Musella, Pasquale
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/27535
Resumo: Many measurements and searches for physics beyond the standard model at the LHC rely on the efficient identification of heavy-flavour jets, i.e. jets originating from bottom or charm quarks. In this paper, the discriminating variables and the algorithms used for heavy-flavour jet identification during the first years of operation of the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13 TeV, are presented. Heavy-flavour jet identification algorithms have been improved compared to those used previously at centre-of-mass energies of 7 and 8 TeV. For jets with transverse momenta in the range expected in simulated $\mathrm{t}\overline{\mathrm{t}}$ events, these new developments result in an efficiency of 68% for the correct identification of a b jet for a probability of 1% of misidentifying a light-flavour jet. The improvement in relative efficiency at this misidentification probability is about 15%, compared to previous CMS algorithms. In addition, for the first time algorithms have been developed to identify jets containing two b hadrons in Lorentz-boosted event topologies, as well as to tag c jets. The large data sample recorded in 2016 at a centre-of-mass energy of 13 TeV has also allowed the development of new methods to measure the efficiency and misidentification probability of heavy-flavour jet identification algorithms. The heavy-flavour jet identification efficiency is measured with a precision of a few per cent at moderate jet transverse momenta (between 30 and 300 GeV) and about 5% at the highest jet transverse momenta (between 500 and 1000 GeV).
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spelling Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeVMany measurements and searches for physics beyond the standard model at the LHC rely on the efficient identification of heavy-flavour jets, i.e. jets originating from bottom or charm quarks. In this paper, the discriminating variables and the algorithms used for heavy-flavour jet identification during the first years of operation of the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13 TeV, are presented. Heavy-flavour jet identification algorithms have been improved compared to those used previously at centre-of-mass energies of 7 and 8 TeV. For jets with transverse momenta in the range expected in simulated $\mathrm{t}\overline{\mathrm{t}}$ events, these new developments result in an efficiency of 68% for the correct identification of a b jet for a probability of 1% of misidentifying a light-flavour jet. The improvement in relative efficiency at this misidentification probability is about 15%, compared to previous CMS algorithms. In addition, for the first time algorithms have been developed to identify jets containing two b hadrons in Lorentz-boosted event topologies, as well as to tag c jets. The large data sample recorded in 2016 at a centre-of-mass energy of 13 TeV has also allowed the development of new methods to measure the efficiency and misidentification probability of heavy-flavour jet identification algorithms. The heavy-flavour jet identification efficiency is measured with a precision of a few per cent at moderate jet transverse momenta (between 30 and 300 GeV) and about 5% at the highest jet transverse momenta (between 500 and 1000 GeV).Repositório ComumCMS collaboration (2265 authors)Nayak, ArunaBargassa, PedrameBeirão Da Cruz E Silva, CristóvãoDi Francesco, AgostinoFaccioli, PietroGalinhas, BrunoGallinaro, MicheleHollar, JonathanLeonardo, NunoLloret Iglesias, LaraSeixas, JoaoStrong, GilesToldaiev, OleksiiVadruccio, DanieleVarela, JoaoVischia, PietroDavid Tinoco Mendes, AndreSilva, PedroMusella, Pasquale2019-02-05T15:41:46Z2018-05-082019-02-05T15:41:46Z2018-05-08T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/27535enghttp://dx.doi.org/10.1088/1748-0221/13/05/P05011info: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:RCAAP2023-08-03T06:25:49Zoai:comum.rcaap.pt:10400.26/27535Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:54:18.375432Repositório 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 Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
title Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
spellingShingle Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
CMS collaboration (2265 authors)
title_short Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
title_full Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
title_fullStr Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
title_full_unstemmed Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
title_sort Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
author CMS collaboration (2265 authors)
author_facet CMS collaboration (2265 authors)
Nayak, Aruna
Bargassa, Pedrame
Beirão Da Cruz E Silva, Cristóvão
Di Francesco, Agostino
Faccioli, Pietro
Galinhas, Bruno
Gallinaro, Michele
Hollar, Jonathan
Leonardo, Nuno
Lloret Iglesias, Lara
Seixas, Joao
Strong, Giles
Toldaiev, Oleksii
Vadruccio, Daniele
Varela, Joao
Vischia, Pietro
David Tinoco Mendes, Andre
Silva, Pedro
Musella, Pasquale
author_role author
author2 Nayak, Aruna
Bargassa, Pedrame
Beirão Da Cruz E Silva, Cristóvão
Di Francesco, Agostino
Faccioli, Pietro
Galinhas, Bruno
Gallinaro, Michele
Hollar, Jonathan
Leonardo, Nuno
Lloret Iglesias, Lara
Seixas, Joao
Strong, Giles
Toldaiev, Oleksii
Vadruccio, Daniele
Varela, Joao
Vischia, Pietro
David Tinoco Mendes, Andre
Silva, Pedro
Musella, Pasquale
author2_role 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 (2265 authors)
Nayak, Aruna
Bargassa, Pedrame
Beirão Da Cruz E Silva, Cristóvão
Di Francesco, Agostino
Faccioli, Pietro
Galinhas, Bruno
Gallinaro, Michele
Hollar, Jonathan
Leonardo, Nuno
Lloret Iglesias, Lara
Seixas, Joao
Strong, Giles
Toldaiev, Oleksii
Vadruccio, Daniele
Varela, Joao
Vischia, Pietro
David Tinoco Mendes, Andre
Silva, Pedro
Musella, Pasquale
description Many measurements and searches for physics beyond the standard model at the LHC rely on the efficient identification of heavy-flavour jets, i.e. jets originating from bottom or charm quarks. In this paper, the discriminating variables and the algorithms used for heavy-flavour jet identification during the first years of operation of the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13 TeV, are presented. Heavy-flavour jet identification algorithms have been improved compared to those used previously at centre-of-mass energies of 7 and 8 TeV. For jets with transverse momenta in the range expected in simulated $\mathrm{t}\overline{\mathrm{t}}$ events, these new developments result in an efficiency of 68% for the correct identification of a b jet for a probability of 1% of misidentifying a light-flavour jet. The improvement in relative efficiency at this misidentification probability is about 15%, compared to previous CMS algorithms. In addition, for the first time algorithms have been developed to identify jets containing two b hadrons in Lorentz-boosted event topologies, as well as to tag c jets. The large data sample recorded in 2016 at a centre-of-mass energy of 13 TeV has also allowed the development of new methods to measure the efficiency and misidentification probability of heavy-flavour jet identification algorithms. The heavy-flavour jet identification efficiency is measured with a precision of a few per cent at moderate jet transverse momenta (between 30 and 300 GeV) and about 5% at the highest jet transverse momenta (between 500 and 1000 GeV).
publishDate 2018
dc.date.none.fl_str_mv 2018-05-08
2018-05-08T00:00:00Z
2019-02-05T15:41:46Z
2019-02-05T15:41:46Z
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dc.language.iso.fl_str_mv eng
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