Identification of boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 TeV

Detalhes bibliográficos
Autor(a) principal: Fiolhais, M. C. N.
Data de Publicação: 2019
Outros Autores: Veloso, F., Wolters, H., Aguilar-Saavedra, J.A., Santos, S. P. Amor dos, Araque, J. P., Castro, N. F., Muiño, P. Conde, Vale, T. Dias do, Pereira, R. M. Faísca Rodrigues, Gonçalo, R., Gomes, A., Jorge, P. M., Galhardo, B., Maio, A., Gouveia, E. D. Mendes, Seabra, L. F. Oleiro, Onofre, A., Pedro, R., Peixoto, A. P. Pereira, Santos, H., Saraiva, J. G., Stolarsky, M., Delgado, A. Tavares, ATLAS Collaboration
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/106920
https://doi.org/10.1140/epjc/s10052-019-7335-x
Resumo: This paper describes a study of techniques for identifying Higgs bosons at high transverse momenta decaying into bottom-quark pairs, H→ bb¯ , for proton–proton collision data collected by the ATLAS detector at the Large Hadron Collider at a centre-of-mass energy s=13 TeV. These decays are reconstructed from calorimeter jets found with the anti-ktR= 1.0 jet algorithm. To tag Higgs bosons, a combination of requirements is used: b-tagging of R= 0.2 track-jets matched to the large-R calorimeter jet, and requirements on the jet mass and other jet substructure variables. The Higgs boson tagging efficiency and corresponding multijet and hadronic top-quark background rejections are evaluated using Monte Carlo simulation. Several benchmark tagging selections are defined for different signal efficiency targets. The modelling of the relevant input distributions used to tag Higgs bosons is studied in 36 fb- 1 of data collected in 2015 and 2016 using g→ bb¯ and Z(→ bb¯) γ event selections in data. Both processes are found to be well modelled within the statistical and systematic uncertainties.
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spelling Identification of boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 TeVThis paper describes a study of techniques for identifying Higgs bosons at high transverse momenta decaying into bottom-quark pairs, H→ bb¯ , for proton–proton collision data collected by the ATLAS detector at the Large Hadron Collider at a centre-of-mass energy s=13 TeV. These decays are reconstructed from calorimeter jets found with the anti-ktR= 1.0 jet algorithm. To tag Higgs bosons, a combination of requirements is used: b-tagging of R= 0.2 track-jets matched to the large-R calorimeter jet, and requirements on the jet mass and other jet substructure variables. The Higgs boson tagging efficiency and corresponding multijet and hadronic top-quark background rejections are evaluated using Monte Carlo simulation. Several benchmark tagging selections are defined for different signal efficiency targets. The modelling of the relevant input distributions used to tag Higgs bosons is studied in 36 fb- 1 of data collected in 2015 and 2016 using g→ bb¯ and Z(→ bb¯) γ event selections in data. Both processes are found to be well modelled within the statistical and systematic uncertainties.We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS,MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, The Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, UK; DOE and NSF, USA. In addition, individual groups and members have received support fromBCKDF,CANARIE,CRCandComputeCanada, Canada; COST, ERC, ERDF, Horizon 2020, and Marie Skłodowska- Curie Actions, European Union; Investissements d’ Avenir Labex and Idex, ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF,Greece; BSF-NSF and GIF, Israel;CERCAProgramme Generalitat de Catalunya, Spain; The Royal Society and Leverhulme Trust, UK. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CCIN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NLT1 (The Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [84].Springer Nature2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/106920http://hdl.handle.net/10316/106920https://doi.org/10.1140/epjc/s10052-019-7335-xengFiolhais, M. C. N.Veloso, F.Wolters, H.Aguilar-Saavedra, J.A.Santos, S. P. Amor dosAraque, J. P.Castro, N. F.Muiño, P. CondeVale, T. Dias doPereira, R. M. Faísca RodriguesGonçalo, R.Gomes, A.Jorge, P. M.Galhardo, B.Maio, A.Gouveia, E. D. MendesSeabra, L. F. OleiroOnofre, A.Pedro, R.Peixoto, A. P. PereiraSantos, H.Saraiva, J. G.Stolarsky, M.Delgado, A. TavaresATLAS Collaborationinfo: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:RCAAP2023-05-02T10:58:40Zoai:estudogeral.uc.pt:10316/106920Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:23:18.840621Repositório 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 boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 TeV
title Identification of boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 TeV
spellingShingle Identification of boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 TeV
Fiolhais, M. C. N.
title_short Identification of boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 TeV
title_full Identification of boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 TeV
title_fullStr Identification of boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 TeV
title_full_unstemmed Identification of boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 TeV
title_sort Identification of boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 TeV
author Fiolhais, M. C. N.
author_facet Fiolhais, M. C. N.
Veloso, F.
Wolters, H.
Aguilar-Saavedra, J.A.
Santos, S. P. Amor dos
Araque, J. P.
Castro, N. F.
Muiño, P. Conde
Vale, T. Dias do
Pereira, R. M. Faísca Rodrigues
Gonçalo, R.
Gomes, A.
Jorge, P. M.
Galhardo, B.
Maio, A.
Gouveia, E. D. Mendes
Seabra, L. F. Oleiro
Onofre, A.
Pedro, R.
Peixoto, A. P. Pereira
Santos, H.
Saraiva, J. G.
Stolarsky, M.
Delgado, A. Tavares
ATLAS Collaboration
author_role author
author2 Veloso, F.
Wolters, H.
Aguilar-Saavedra, J.A.
Santos, S. P. Amor dos
Araque, J. P.
Castro, N. F.
Muiño, P. Conde
Vale, T. Dias do
Pereira, R. M. Faísca Rodrigues
Gonçalo, R.
Gomes, A.
Jorge, P. M.
Galhardo, B.
Maio, A.
Gouveia, E. D. Mendes
Seabra, L. F. Oleiro
Onofre, A.
Pedro, R.
Peixoto, A. P. Pereira
Santos, H.
Saraiva, J. G.
Stolarsky, M.
Delgado, A. Tavares
ATLAS Collaboration
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Fiolhais, M. C. N.
Veloso, F.
Wolters, H.
Aguilar-Saavedra, J.A.
Santos, S. P. Amor dos
Araque, J. P.
Castro, N. F.
Muiño, P. Conde
Vale, T. Dias do
Pereira, R. M. Faísca Rodrigues
Gonçalo, R.
Gomes, A.
Jorge, P. M.
Galhardo, B.
Maio, A.
Gouveia, E. D. Mendes
Seabra, L. F. Oleiro
Onofre, A.
Pedro, R.
Peixoto, A. P. Pereira
Santos, H.
Saraiva, J. G.
Stolarsky, M.
Delgado, A. Tavares
ATLAS Collaboration
description This paper describes a study of techniques for identifying Higgs bosons at high transverse momenta decaying into bottom-quark pairs, H→ bb¯ , for proton–proton collision data collected by the ATLAS detector at the Large Hadron Collider at a centre-of-mass energy s=13 TeV. These decays are reconstructed from calorimeter jets found with the anti-ktR= 1.0 jet algorithm. To tag Higgs bosons, a combination of requirements is used: b-tagging of R= 0.2 track-jets matched to the large-R calorimeter jet, and requirements on the jet mass and other jet substructure variables. The Higgs boson tagging efficiency and corresponding multijet and hadronic top-quark background rejections are evaluated using Monte Carlo simulation. Several benchmark tagging selections are defined for different signal efficiency targets. The modelling of the relevant input distributions used to tag Higgs bosons is studied in 36 fb- 1 of data collected in 2015 and 2016 using g→ bb¯ and Z(→ bb¯) γ event selections in data. Both processes are found to be well modelled within the statistical and systematic uncertainties.
publishDate 2019
dc.date.none.fl_str_mv 2019
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/10316/106920
http://hdl.handle.net/10316/106920
https://doi.org/10.1140/epjc/s10052-019-7335-x
url http://hdl.handle.net/10316/106920
https://doi.org/10.1140/epjc/s10052-019-7335-x
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
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