Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , , , , , , , , , , , |
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). |
id |
RCAP_c974bd626d738b3ab5dc38842f51f9c2 |
---|---|
oai_identifier_str |
oai:comum.rcaap.pt:10400.26/27535 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.26/27535 |
url |
http://hdl.handle.net/10400.26/27535 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://dx.doi.org/10.1088/1748-0221/13/05/P05011 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799130410181984256 |