Performance of algorithms that reconstruct missing transverse momentum in $\sqrt{s}=$ 8 TeV proton-proton collisions in the ATLAS detector
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Publication Date: | 2017 |
Other Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://dx.doi.org/10.1140/epjc/s10052-017-4780-2 http://hdl.handle.net/10400.26/27198 |
Summary: | The reconstruction and calibration algorithms used to calculate missing transverse momentum ( $E_{\text {T}}^{\text {miss}}$ ) with the ATLAS detector exploit energy deposits in the calorimeter and tracks reconstructed in the inner detector as well as the muon spectrometer. Various strategies are used to suppress effects arising from additional proton–proton interactions, called pileup, concurrent with the hard-scatter processes. Tracking information is used to distinguish contributions from the pileup interactions using their vertex separation along the beam axis. The performance of the $E_{\text {T}}^{\text {miss}}$ reconstruction algorithms, especially with respect to the amount of pileup, is evaluated using data collected in proton–proton collisions at a centre-of-mass energy of 8 $\text {TeV}$ during 2012, and results are shown for a data sample corresponding to an integrated luminosity of $20.3\, \mathrm{fb}^{-1}$ . The simulation and modelling of $E_{\text {T}}^{\text {miss}}$ in events containing a Z boson decaying to two charged leptons (electrons or muons) or a W boson decaying to a charged lepton and a neutrino are compared to data. The acceptance for different event topologies, with and without high transverse momentum neutrinos, is shown for a range of threshold criteria for $E_{\text {T}}^{\text {miss}}$ , and estimates of the systematic uncertainties in the $E_{\text {T}}^{\text {miss}}$ measurements are presented. |
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Performance of algorithms that reconstruct missing transverse momentum in $\sqrt{s}=$ 8 TeV proton-proton collisions in the ATLAS detectorThe reconstruction and calibration algorithms used to calculate missing transverse momentum ( $E_{\text {T}}^{\text {miss}}$ ) with the ATLAS detector exploit energy deposits in the calorimeter and tracks reconstructed in the inner detector as well as the muon spectrometer. Various strategies are used to suppress effects arising from additional proton–proton interactions, called pileup, concurrent with the hard-scatter processes. Tracking information is used to distinguish contributions from the pileup interactions using their vertex separation along the beam axis. The performance of the $E_{\text {T}}^{\text {miss}}$ reconstruction algorithms, especially with respect to the amount of pileup, is evaluated using data collected in proton–proton collisions at a centre-of-mass energy of 8 $\text {TeV}$ during 2012, and results are shown for a data sample corresponding to an integrated luminosity of $20.3\, \mathrm{fb}^{-1}$ . The simulation and modelling of $E_{\text {T}}^{\text {miss}}$ in events containing a Z boson decaying to two charged leptons (electrons or muons) or a W boson decaying to a charged lepton and a neutrino are compared to data. The acceptance for different event topologies, with and without high transverse momentum neutrinos, is shown for a range of threshold criteria for $E_{\text {T}}^{\text {miss}}$ , and estimates of the systematic uncertainties in the $E_{\text {T}}^{\text {miss}}$ measurements are presented.Repositório ComumATLAS collaboration (2824 authors)Aguilar-Saavedra, Juan AntonioAmor Dos Santos, Susana PatriciaAnjos, NunoAraque, Juan PedroCantrill, RobertCarvalho, JoãoCastro, Nuno FilipeConde Muiño, PatriciaDa Cunha Sargedas De Sousa, Mario JoseFiolhais, MiguelGalhardo, BrunoGomes, AgostinhoGonçalo, RicardoJorge, PedroLopes, LourencoMachado Miguens, JoanaMaio, AméliaManeira, JoséOleiro Seabra, Luis FilipeOnofre, AntónioPalma, AlbertoPedro, RutePina, João AntonioSantos, HelenaSaraiva, JoãoSilva, JoséTavares Delgado, AdemarVeloso, FilipeWolters, Helmut2019-02-04T11:20:36Z2017-04-132019-02-04T11:20:36Z2017-04-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1140/epjc/s10052-017-4780-2http://hdl.handle.net/10400.26/27198enginfo: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:RCAAP2025-05-14T13:06:25Zoai:comum.rcaap.pt:10400.26/27198Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T07:19:10.014172Repositórios 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 algorithms that reconstruct missing transverse momentum in $\sqrt{s}=$ 8 TeV proton-proton collisions in the ATLAS detector |
title |
Performance of algorithms that reconstruct missing transverse momentum in $\sqrt{s}=$ 8 TeV proton-proton collisions in the ATLAS detector |
spellingShingle |
Performance of algorithms that reconstruct missing transverse momentum in $\sqrt{s}=$ 8 TeV proton-proton collisions in the ATLAS detector ATLAS collaboration (2824 authors) |
title_short |
Performance of algorithms that reconstruct missing transverse momentum in $\sqrt{s}=$ 8 TeV proton-proton collisions in the ATLAS detector |
title_full |
Performance of algorithms that reconstruct missing transverse momentum in $\sqrt{s}=$ 8 TeV proton-proton collisions in the ATLAS detector |
title_fullStr |
Performance of algorithms that reconstruct missing transverse momentum in $\sqrt{s}=$ 8 TeV proton-proton collisions in the ATLAS detector |
title_full_unstemmed |
Performance of algorithms that reconstruct missing transverse momentum in $\sqrt{s}=$ 8 TeV proton-proton collisions in the ATLAS detector |
title_sort |
Performance of algorithms that reconstruct missing transverse momentum in $\sqrt{s}=$ 8 TeV proton-proton collisions in the ATLAS detector |
author |
ATLAS collaboration (2824 authors) |
author_facet |
ATLAS collaboration (2824 authors) Aguilar-Saavedra, Juan Antonio Amor Dos Santos, Susana Patricia Anjos, Nuno Araque, Juan Pedro Cantrill, Robert Carvalho, João Castro, Nuno Filipe Conde Muiño, Patricia Da Cunha Sargedas De Sousa, Mario Jose Fiolhais, Miguel Galhardo, Bruno Gomes, Agostinho Gonçalo, Ricardo Jorge, Pedro Lopes, Lourenco Machado Miguens, Joana Maio, Amélia Maneira, José Oleiro Seabra, Luis Filipe Onofre, António Palma, Alberto Pedro, Rute Pina, João Antonio 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 Araque, Juan Pedro Cantrill, Robert Carvalho, João Castro, Nuno Filipe Conde Muiño, Patricia Da Cunha Sargedas De Sousa, Mario Jose Fiolhais, Miguel Galhardo, Bruno Gomes, Agostinho Gonçalo, Ricardo Jorge, Pedro Lopes, Lourenco Machado Miguens, Joana Maio, Amélia Maneira, José Oleiro Seabra, Luis Filipe Onofre, António Palma, Alberto Pedro, Rute Pina, João Antonio 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 |
dc.contributor.none.fl_str_mv |
Repositório Comum |
dc.contributor.author.fl_str_mv |
ATLAS collaboration (2824 authors) Aguilar-Saavedra, Juan Antonio Amor Dos Santos, Susana Patricia Anjos, Nuno Araque, Juan Pedro Cantrill, Robert Carvalho, João Castro, Nuno Filipe Conde Muiño, Patricia Da Cunha Sargedas De Sousa, Mario Jose Fiolhais, Miguel Galhardo, Bruno Gomes, Agostinho Gonçalo, Ricardo Jorge, Pedro Lopes, Lourenco Machado Miguens, Joana Maio, Amélia Maneira, José Oleiro Seabra, Luis Filipe Onofre, António Palma, Alberto Pedro, Rute Pina, João Antonio Santos, Helena Saraiva, João Silva, José Tavares Delgado, Ademar Veloso, Filipe Wolters, Helmut |
description |
The reconstruction and calibration algorithms used to calculate missing transverse momentum ( $E_{\text {T}}^{\text {miss}}$ ) with the ATLAS detector exploit energy deposits in the calorimeter and tracks reconstructed in the inner detector as well as the muon spectrometer. Various strategies are used to suppress effects arising from additional proton–proton interactions, called pileup, concurrent with the hard-scatter processes. Tracking information is used to distinguish contributions from the pileup interactions using their vertex separation along the beam axis. The performance of the $E_{\text {T}}^{\text {miss}}$ reconstruction algorithms, especially with respect to the amount of pileup, is evaluated using data collected in proton–proton collisions at a centre-of-mass energy of 8 $\text {TeV}$ during 2012, and results are shown for a data sample corresponding to an integrated luminosity of $20.3\, \mathrm{fb}^{-1}$ . The simulation and modelling of $E_{\text {T}}^{\text {miss}}$ in events containing a Z boson decaying to two charged leptons (electrons or muons) or a W boson decaying to a charged lepton and a neutrino are compared to data. The acceptance for different event topologies, with and without high transverse momentum neutrinos, is shown for a range of threshold criteria for $E_{\text {T}}^{\text {miss}}$ , and estimates of the systematic uncertainties in the $E_{\text {T}}^{\text {miss}}$ measurements are presented. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-04-13 2017-04-13T00:00:00Z 2019-02-04T11:20:36Z 2019-02-04T11:20:36Z |
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/10.1140/epjc/s10052-017-4780-2 http://hdl.handle.net/10400.26/27198 |
url |
http://dx.doi.org/10.1140/epjc/s10052-017-4780-2 http://hdl.handle.net/10400.26/27198 |
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eng |
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