Performance of algorithms that reconstruct missing transverse momentum in √s = 8 TeV proton–proton collisions in the ATLAS detector
Main Author: | |
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Publication Date: | 2017 |
Other Authors: | , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://hdl.handle.net/10316/108160 https://doi.org/10.1140/epjc/s10052-017-4780-2 |
Summary: | The reconstruction and calibration algorithms used to calculate missing transverse momentum (Emiss T ) 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 Emiss T 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 TeV during 2012, and results are shown for a data sample corresponding to an integrated luminosity of 20.3 fb−1. The simulation and modelling of Emiss T 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 Emiss T , and estimates of the systematic uncertainties in the Emiss T measurements are presented. |
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Performance of algorithms that reconstruct missing transverse momentum in √s = 8 TeV proton–proton collisions in the ATLAS detectorThe reconstruction and calibration algorithms used to calculate missing transverse momentum (Emiss T ) 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 Emiss T 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 TeV during 2012, and results are shown for a data sample corresponding to an integrated luminosity of 20.3 fb−1. The simulation and modelling of Emiss T 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 Emiss T , and estimates of the systematic uncertainties in the Emiss T measurements are presented.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; BMWFWandFWF,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-DSM/IRFU, France; GNSF, Georgia;BMBF,HGF, and MPG, Germany;GSRT, Greece; RGC, Hong Kong SAR, China; ISF, I-CORE and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; FOM and NWO, Netherlands; RCN,Norway;MNiSWand 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 andWallenberg Foundation, Sweden; SERI, SNSF andCantons of Bern andGeneva, Switzerland;MOST,Taiwan;TAEK,Turkey; STFC, UK;DOEandNSF,United States of America. In addition, individual groups and members have received support from BCKDF, the Canada Council, CANARIE, CRC, Compute Canada, FQRNT, and the Ontario Innovation Trust, Canada; EPLANET, ERC, FP7, Horizon 2020 and Marie Skłodowska-Curie Actions, European Union; Investissements d’Avenir Labex and Idex, ANR, Région Auvergne and Fondation Partager le Savoir, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF; BSF, GIF and Minerva, Israel; BRF, Norway; Generalitat de Catalunya, Generalitat Valenciana, Spain; the Royal Society and Leverhulme Trust, United Kingdom. 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), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (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. [58].Springer Nature2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://hdl.handle.net/10316/108160https://hdl.handle.net/10316/108160https://doi.org/10.1140/epjc/s10052-017-4780-2engSantos, S. P. Amor dosCarvalho, J.Fiolhais, M. C. N.Galhardo, B.Veloso, F.Wolters, H.ATLAS Collaborationinfo: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:RCAAP2023-08-14T08:43:43Zoai:estudogeral.uc.pt:10316/108160Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:59:12.358152Repositórios 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 √s = 8 TeV proton–proton collisions in the ATLAS detector |
title |
Performance of algorithms that reconstruct missing transverse momentum in √s = 8 TeV proton–proton collisions in the ATLAS detector |
spellingShingle |
Performance of algorithms that reconstruct missing transverse momentum in √s = 8 TeV proton–proton collisions in the ATLAS detector Santos, S. P. Amor dos |
title_short |
Performance of algorithms that reconstruct missing transverse momentum in √s = 8 TeV proton–proton collisions in the ATLAS detector |
title_full |
Performance of algorithms that reconstruct missing transverse momentum in √s = 8 TeV proton–proton collisions in the ATLAS detector |
title_fullStr |
Performance of algorithms that reconstruct missing transverse momentum in √s = 8 TeV proton–proton collisions in the ATLAS detector |
title_full_unstemmed |
Performance of algorithms that reconstruct missing transverse momentum in √s = 8 TeV proton–proton collisions in the ATLAS detector |
title_sort |
Performance of algorithms that reconstruct missing transverse momentum in √s = 8 TeV proton–proton collisions in the ATLAS detector |
author |
Santos, S. P. Amor dos |
author_facet |
Santos, S. P. Amor dos Carvalho, J. Fiolhais, M. C. N. Galhardo, B. Veloso, F. Wolters, H. ATLAS Collaboration |
author_role |
author |
author2 |
Carvalho, J. Fiolhais, M. C. N. Galhardo, B. Veloso, F. Wolters, H. ATLAS Collaboration |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Santos, S. P. Amor dos Carvalho, J. Fiolhais, M. C. N. Galhardo, B. Veloso, F. Wolters, H. ATLAS Collaboration |
description |
The reconstruction and calibration algorithms used to calculate missing transverse momentum (Emiss T ) 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 Emiss T 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 TeV during 2012, and results are shown for a data sample corresponding to an integrated luminosity of 20.3 fb−1. The simulation and modelling of Emiss T 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 Emiss T , and estimates of the systematic uncertainties in the Emiss T measurements are presented. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
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article |
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https://hdl.handle.net/10316/108160 https://hdl.handle.net/10316/108160 https://doi.org/10.1140/epjc/s10052-017-4780-2 |
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https://hdl.handle.net/10316/108160 https://doi.org/10.1140/epjc/s10052-017-4780-2 |
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eng |
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Springer Nature |
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Springer Nature |
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