Performance of Photon Reconstruction and Identification with the CMS Detector in Proton-Proton Collisions at sqrt(s) = 8 TeV
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Texto Completo: | http://dx.doi.org/10.1088/1748-0221/10/08/P08010 http://hdl.handle.net/10400.26/26774 |
Resumo: | A description is provided of the performance of the CMS detector for photon reconstruction and identification in proton-proton collisions at a centre-of-mass energy of 8 TeV at the CERN LHC. Details are given on the reconstruction of photons from energy deposits in the electromagnetic calorimeter (ECAL) and the extraction of photon energy estimates. The reconstruction of electron tracks from photons that convert to electrons in the CMS tracker is also described, as is the optimization of the photon energy reconstruction and its accurate modelling in simulation, in the analysis of the Higgs boson decay into two photons. In the barrel section of the ECAL, an energy resolution of about 1% is achieved for unconverted or late-converting photons from H→γγ decays. Different photon identification methods are discussed and their corresponding selection efficiencies in data are compared with those found in simulated events. |
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Performance of Photon Reconstruction and Identification with the CMS Detector in Proton-Proton Collisions at sqrt(s) = 8 TeVA description is provided of the performance of the CMS detector for photon reconstruction and identification in proton-proton collisions at a centre-of-mass energy of 8 TeV at the CERN LHC. Details are given on the reconstruction of photons from energy deposits in the electromagnetic calorimeter (ECAL) and the extraction of photon energy estimates. The reconstruction of electron tracks from photons that convert to electrons in the CMS tracker is also described, as is the optimization of the photon energy reconstruction and its accurate modelling in simulation, in the analysis of the Higgs boson decay into two photons. In the barrel section of the ECAL, an energy resolution of about 1% is achieved for unconverted or late-converting photons from H→γγ decays. Different photon identification methods are discussed and their corresponding selection efficiencies in data are compared with those found in simulated events.Repositório ComumCMS collaboration (2145 authors)Hollar, JonathanNayak, ArunaBargassa, PedrameBeirão Da Cruz E Silva, CristóvãoFaccioli, PietroFerreira Parracho, Pedro GuilhermeGallinaro, MicheleLloret Iglesias, LaraNguyen, FedericoRodrigues Antunes, JoaoSeixas, JoaoVarela, JoaoVischia, PietroDavid Tinoco Mendes, AndreSilva, PedroMusella, PasqualePela, JoaoLeonardo, Nuno2019-02-04T06:00:37Z2015-08-182019-02-04T06:00:36Z2015-08-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1088/1748-0221/10/08/P08010http://hdl.handle.net/10400.26/26774enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-05-14T13:08:17Zoai:comum.rcaap.pt:10400.26/26774Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T07:19:45.128218Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Performance of Photon Reconstruction and Identification with the CMS Detector in Proton-Proton Collisions at sqrt(s) = 8 TeV |
title |
Performance of Photon Reconstruction and Identification with the CMS Detector in Proton-Proton Collisions at sqrt(s) = 8 TeV |
spellingShingle |
Performance of Photon Reconstruction and Identification with the CMS Detector in Proton-Proton Collisions at sqrt(s) = 8 TeV CMS collaboration (2145 authors) |
title_short |
Performance of Photon Reconstruction and Identification with the CMS Detector in Proton-Proton Collisions at sqrt(s) = 8 TeV |
title_full |
Performance of Photon Reconstruction and Identification with the CMS Detector in Proton-Proton Collisions at sqrt(s) = 8 TeV |
title_fullStr |
Performance of Photon Reconstruction and Identification with the CMS Detector in Proton-Proton Collisions at sqrt(s) = 8 TeV |
title_full_unstemmed |
Performance of Photon Reconstruction and Identification with the CMS Detector in Proton-Proton Collisions at sqrt(s) = 8 TeV |
title_sort |
Performance of Photon Reconstruction and Identification with the CMS Detector in Proton-Proton Collisions at sqrt(s) = 8 TeV |
author |
CMS collaboration (2145 authors) |
author_facet |
CMS collaboration (2145 authors) Hollar, Jonathan Nayak, Aruna Bargassa, Pedrame Beirão Da Cruz E Silva, Cristóvão Faccioli, Pietro Ferreira Parracho, Pedro Guilherme Gallinaro, Michele Lloret Iglesias, Lara Nguyen, Federico Rodrigues Antunes, Joao Seixas, Joao Varela, Joao Vischia, Pietro David Tinoco Mendes, Andre Silva, Pedro Musella, Pasquale Pela, Joao Leonardo, Nuno |
author_role |
author |
author2 |
Hollar, Jonathan Nayak, Aruna Bargassa, Pedrame Beirão Da Cruz E Silva, Cristóvão Faccioli, Pietro Ferreira Parracho, Pedro Guilherme Gallinaro, Michele Lloret Iglesias, Lara Nguyen, Federico Rodrigues Antunes, Joao Seixas, Joao Varela, Joao Vischia, Pietro David Tinoco Mendes, Andre Silva, Pedro Musella, Pasquale Pela, Joao Leonardo, Nuno |
author2_role |
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 (2145 authors) Hollar, Jonathan Nayak, Aruna Bargassa, Pedrame Beirão Da Cruz E Silva, Cristóvão Faccioli, Pietro Ferreira Parracho, Pedro Guilherme Gallinaro, Michele Lloret Iglesias, Lara Nguyen, Federico Rodrigues Antunes, Joao Seixas, Joao Varela, Joao Vischia, Pietro David Tinoco Mendes, Andre Silva, Pedro Musella, Pasquale Pela, Joao Leonardo, Nuno |
description |
A description is provided of the performance of the CMS detector for photon reconstruction and identification in proton-proton collisions at a centre-of-mass energy of 8 TeV at the CERN LHC. Details are given on the reconstruction of photons from energy deposits in the electromagnetic calorimeter (ECAL) and the extraction of photon energy estimates. The reconstruction of electron tracks from photons that convert to electrons in the CMS tracker is also described, as is the optimization of the photon energy reconstruction and its accurate modelling in simulation, in the analysis of the Higgs boson decay into two photons. In the barrel section of the ECAL, an energy resolution of about 1% is achieved for unconverted or late-converting photons from H→γγ decays. Different photon identification methods are discussed and their corresponding selection efficiencies in data are compared with those found in simulated events. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-08-18 2015-08-18T00:00:00Z 2019-02-04T06:00:37Z 2019-02-04T06:00:36Z |
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://dx.doi.org/10.1088/1748-0221/10/08/P08010 http://hdl.handle.net/10400.26/26774 |
url |
http://dx.doi.org/10.1088/1748-0221/10/08/P08010 http://hdl.handle.net/10400.26/26774 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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 |
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institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
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