Export Ready — 

Jet energy measurement and its systematic uncertainty in proton-proton collisions at $\sqrt{s}=7$ TeV with the ATLAS detector

Bibliographic Details
Main Author: ATLAS collaboration (2934 authors)
Publication Date: 2015
Other Authors: Aguilar-Saavedra, Juan Antonio, Amor Dos Santos, Susana Patricia, Anjos, Nuno, Cantrill, Robert, Carvalho, João, Castro, Nuno Filipe, Conde Muiño, Patricia, Da Cunha Sargedas De Sousa, Mario Jose, Do Valle Wemans, André, Fiolhais, Miguel, Galhardo, Bruno, Gomes, Agostinho, Gonçalo, Ricardo, Jorge, Pedro, Lopes, Lourenco, Machado Miguens, Joana, Maio, Amélia, Maneira, José, Marques, Carlos, Oliveira, Miguel Alfonso, Onofre, António, Palma, Alberto, Pedro, Rute, Pina, João Antonio, Pinto, Belmiro, Santos, Helena, Saraiva, João, Silva, José, Tavares Delgado, Ademar, Veloso, Filipe, Wolters, Helmut
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://dx.doi.org/10.1140/epjc/s10052-014-3190-y
http://hdl.handle.net/10400.26/26603
Summary: The jet energy scale (JES) and its systematic uncertainty are determined for jets measured with the ATLAS detector using proton–proton collision data with a centre-of-mass energy of $\sqrt{s}=7$  TeV corresponding to an integrated luminosity of $4.7$ $\,\,\text{ fb }^{-1}$ . Jets are reconstructed from energy deposits forming topological clusters of calorimeter cells using the anti- $k_{t}$ algorithm with distance parameters $R=0.4$ or $R=0.6$ , and are calibrated using MC simulations. A residual JES correction is applied to account for differences between data and MC simulations. This correction and its systematic uncertainty are estimated using a combination of in situ techniques exploiting the transverse momentum balance between a jet and a reference object such as a photon or a $Z$ boson, for ${20} \le p_{\mathrm {T}}^\mathrm {jet}<{1000}\, ~\mathrm{GeV }$ and pseudorapidities $|\eta |<{4.5}$ . The effect of multiple proton–proton interactions is corrected for, and an uncertainty is evaluated using in situ techniques. The smallest JES uncertainty of less than 1 % is found in the central calorimeter region ( $|\eta |<{1.2}$ ) for jets with ${55} \le p_{\mathrm {T}}^\mathrm {jet}<{500}\, ~\mathrm{GeV }$ . For central jets at lower $p_{\mathrm {T}}$ , the uncertainty is about 3 %. A consistent JES estimate is found using measurements of the calorimeter response of single hadrons in proton–proton collisions and test-beam data, which also provide the estimate for $p_{\mathrm {T}}^\mathrm {jet}> 1$  TeV. The calibration of forward jets is derived from dijet $p_{\mathrm {T}}$ balance measurements. The resulting uncertainty reaches its largest value of 6 % for low- $p_{\mathrm {T}}$ jets at $|\eta |=4.5$ . Additional JES uncertainties due to specific event topologies, such as close-by jets or selections of event samples with an enhanced content of jets originating from light quarks or gluons, are also discussed. The magnitude of these uncertainties depends on the event sample used in a given physics analysis, but typically amounts to 0.5–3 %.
id RCAP_d1b265e7a81f1b294b42293c255d102f
oai_identifier_str oai:comum.rcaap.pt:10400.26/26603
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Jet energy measurement and its systematic uncertainty in proton-proton collisions at $\sqrt{s}=7$ TeV with the ATLAS detectorThe jet energy scale (JES) and its systematic uncertainty are determined for jets measured with the ATLAS detector using proton–proton collision data with a centre-of-mass energy of $\sqrt{s}=7$  TeV corresponding to an integrated luminosity of $4.7$ $\,\,\text{ fb }^{-1}$ . Jets are reconstructed from energy deposits forming topological clusters of calorimeter cells using the anti- $k_{t}$ algorithm with distance parameters $R=0.4$ or $R=0.6$ , and are calibrated using MC simulations. A residual JES correction is applied to account for differences between data and MC simulations. This correction and its systematic uncertainty are estimated using a combination of in situ techniques exploiting the transverse momentum balance between a jet and a reference object such as a photon or a $Z$ boson, for ${20} \le p_{\mathrm {T}}^\mathrm {jet}<{1000}\, ~\mathrm{GeV }$ and pseudorapidities $|\eta |<{4.5}$ . The effect of multiple proton–proton interactions is corrected for, and an uncertainty is evaluated using in situ techniques. The smallest JES uncertainty of less than 1 % is found in the central calorimeter region ( $|\eta |<{1.2}$ ) for jets with ${55} \le p_{\mathrm {T}}^\mathrm {jet}<{500}\, ~\mathrm{GeV }$ . For central jets at lower $p_{\mathrm {T}}$ , the uncertainty is about 3 %. A consistent JES estimate is found using measurements of the calorimeter response of single hadrons in proton–proton collisions and test-beam data, which also provide the estimate for $p_{\mathrm {T}}^\mathrm {jet}> 1$  TeV. The calibration of forward jets is derived from dijet $p_{\mathrm {T}}$ balance measurements. The resulting uncertainty reaches its largest value of 6 % for low- $p_{\mathrm {T}}$ jets at $|\eta |=4.5$ . Additional JES uncertainties due to specific event topologies, such as close-by jets or selections of event samples with an enhanced content of jets originating from light quarks or gluons, are also discussed. The magnitude of these uncertainties depends on the event sample used in a given physics analysis, but typically amounts to 0.5–3 %.Repositório ComumATLAS collaboration (2934 authors)Aguilar-Saavedra, Juan AntonioAmor Dos Santos, Susana PatriciaAnjos, NunoCantrill, RobertCarvalho, JoãoCastro, Nuno FilipeConde Muiño, PatriciaDa Cunha Sargedas De Sousa, Mario JoseDo Valle Wemans, AndréFiolhais, MiguelGalhardo, BrunoGomes, AgostinhoGonçalo, RicardoJorge, PedroLopes, LourencoMachado Miguens, JoanaMaio, AméliaManeira, JoséMarques, CarlosOliveira, Miguel AlfonsoOnofre, AntónioPalma, AlbertoPedro, RutePina, João AntonioPinto, BelmiroSantos, HelenaSaraiva, JoãoSilva, JoséTavares Delgado, AdemarVeloso, FilipeWolters, Helmut2019-02-04T03:37:39Z2015-01-152019-02-04T03:37:39Z2015-01-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1140/epjc/s10052-014-3190-yhttp://hdl.handle.net/10400.26/26603enginfo: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:RCAAP2025-05-14T13:10:11Zoai:comum.rcaap.pt:10400.26/26603Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T07:20:03.035319Repositórios 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 Jet energy measurement and its systematic uncertainty in proton-proton collisions at $\sqrt{s}=7$ TeV with the ATLAS detector
title Jet energy measurement and its systematic uncertainty in proton-proton collisions at $\sqrt{s}=7$ TeV with the ATLAS detector
spellingShingle Jet energy measurement and its systematic uncertainty in proton-proton collisions at $\sqrt{s}=7$ TeV with the ATLAS detector
ATLAS collaboration (2934 authors)
title_short Jet energy measurement and its systematic uncertainty in proton-proton collisions at $\sqrt{s}=7$ TeV with the ATLAS detector
title_full Jet energy measurement and its systematic uncertainty in proton-proton collisions at $\sqrt{s}=7$ TeV with the ATLAS detector
title_fullStr Jet energy measurement and its systematic uncertainty in proton-proton collisions at $\sqrt{s}=7$ TeV with the ATLAS detector
title_full_unstemmed Jet energy measurement and its systematic uncertainty in proton-proton collisions at $\sqrt{s}=7$ TeV with the ATLAS detector
title_sort Jet energy measurement and its systematic uncertainty in proton-proton collisions at $\sqrt{s}=7$ TeV with the ATLAS detector
author ATLAS collaboration (2934 authors)
author_facet ATLAS collaboration (2934 authors)
Aguilar-Saavedra, Juan Antonio
Amor Dos Santos, Susana Patricia
Anjos, Nuno
Cantrill, Robert
Carvalho, João
Castro, Nuno Filipe
Conde Muiño, Patricia
Da Cunha Sargedas De Sousa, Mario Jose
Do Valle Wemans, André
Fiolhais, Miguel
Galhardo, Bruno
Gomes, Agostinho
Gonçalo, Ricardo
Jorge, Pedro
Lopes, Lourenco
Machado Miguens, Joana
Maio, Amélia
Maneira, José
Marques, Carlos
Oliveira, Miguel Alfonso
Onofre, António
Palma, Alberto
Pedro, Rute
Pina, João Antonio
Pinto, Belmiro
Santos, Helena
Saraiva, João
Silva, José
Tavares Delgado, Ademar
Veloso, Filipe
Wolters, Helmut
author_role author
author2 Aguilar-Saavedra, Juan Antonio
Amor Dos Santos, Susana Patricia
Anjos, Nuno
Cantrill, Robert
Carvalho, João
Castro, Nuno Filipe
Conde Muiño, Patricia
Da Cunha Sargedas De Sousa, Mario Jose
Do Valle Wemans, André
Fiolhais, Miguel
Galhardo, Bruno
Gomes, Agostinho
Gonçalo, Ricardo
Jorge, Pedro
Lopes, Lourenco
Machado Miguens, Joana
Maio, Amélia
Maneira, José
Marques, Carlos
Oliveira, Miguel Alfonso
Onofre, António
Palma, Alberto
Pedro, Rute
Pina, João Antonio
Pinto, Belmiro
Santos, Helena
Saraiva, João
Silva, José
Tavares Delgado, Ademar
Veloso, Filipe
Wolters, Helmut
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
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv ATLAS collaboration (2934 authors)
Aguilar-Saavedra, Juan Antonio
Amor Dos Santos, Susana Patricia
Anjos, Nuno
Cantrill, Robert
Carvalho, João
Castro, Nuno Filipe
Conde Muiño, Patricia
Da Cunha Sargedas De Sousa, Mario Jose
Do Valle Wemans, André
Fiolhais, Miguel
Galhardo, Bruno
Gomes, Agostinho
Gonçalo, Ricardo
Jorge, Pedro
Lopes, Lourenco
Machado Miguens, Joana
Maio, Amélia
Maneira, José
Marques, Carlos
Oliveira, Miguel Alfonso
Onofre, António
Palma, Alberto
Pedro, Rute
Pina, João Antonio
Pinto, Belmiro
Santos, Helena
Saraiva, João
Silva, José
Tavares Delgado, Ademar
Veloso, Filipe
Wolters, Helmut
description The jet energy scale (JES) and its systematic uncertainty are determined for jets measured with the ATLAS detector using proton–proton collision data with a centre-of-mass energy of $\sqrt{s}=7$  TeV corresponding to an integrated luminosity of $4.7$ $\,\,\text{ fb }^{-1}$ . Jets are reconstructed from energy deposits forming topological clusters of calorimeter cells using the anti- $k_{t}$ algorithm with distance parameters $R=0.4$ or $R=0.6$ , and are calibrated using MC simulations. A residual JES correction is applied to account for differences between data and MC simulations. This correction and its systematic uncertainty are estimated using a combination of in situ techniques exploiting the transverse momentum balance between a jet and a reference object such as a photon or a $Z$ boson, for ${20} \le p_{\mathrm {T}}^\mathrm {jet}<{1000}\, ~\mathrm{GeV }$ and pseudorapidities $|\eta |<{4.5}$ . The effect of multiple proton–proton interactions is corrected for, and an uncertainty is evaluated using in situ techniques. The smallest JES uncertainty of less than 1 % is found in the central calorimeter region ( $|\eta |<{1.2}$ ) for jets with ${55} \le p_{\mathrm {T}}^\mathrm {jet}<{500}\, ~\mathrm{GeV }$ . For central jets at lower $p_{\mathrm {T}}$ , the uncertainty is about 3 %. A consistent JES estimate is found using measurements of the calorimeter response of single hadrons in proton–proton collisions and test-beam data, which also provide the estimate for $p_{\mathrm {T}}^\mathrm {jet}> 1$  TeV. The calibration of forward jets is derived from dijet $p_{\mathrm {T}}$ balance measurements. The resulting uncertainty reaches its largest value of 6 % for low- $p_{\mathrm {T}}$ jets at $|\eta |=4.5$ . Additional JES uncertainties due to specific event topologies, such as close-by jets or selections of event samples with an enhanced content of jets originating from light quarks or gluons, are also discussed. The magnitude of these uncertainties depends on the event sample used in a given physics analysis, but typically amounts to 0.5–3 %.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-15
2015-01-15T00:00:00Z
2019-02-04T03:37:39Z
2019-02-04T03:37:39Z
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/10.1140/epjc/s10052-014-3190-y
http://hdl.handle.net/10400.26/26603
url http://dx.doi.org/10.1140/epjc/s10052-014-3190-y
http://hdl.handle.net/10400.26/26603
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 reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
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 info@rcaap.pt
_version_ 1833602952842969088