Pileup mitigation at CMS in 13 TeV data
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/241035 |
Resumo: | With increasing instantaneous luminosity at the LHC come additional reconstruction challenges. At high luminosity, many collisions occur simultaneously within one proton-proton bunch crossing. The isolation of an interesting collision from the additional "pileup" collisions is needed for effective physics performance. In the CMS Collaboration, several techniques capable of mitigating the impact of these pileup collisions have been developed. Such methods include charged-hadron subtraction, pileup jet identification, isospin-based neutral particle "δβ" correction, and, most recently, pileup per particle identification. This paper surveys the performance of these techniques for jet and missing transverse momentum reconstruction, as well as muon isolation. The analysis makes use of data corresponding to 35.9 fb−1 collected with the CMS experiment in 2016 at a center-of-mass energy of 13 TeV. The performance of each algorithm is discussed for up to 70 simultaneous collisions per bunch crossing. Significant improvements are found in the identification of pileup jets, the jet energy, mass, and angular resolution, missing transverse momentum resolution, and muon isolation when using pileup per particle identification. |
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Sirunyan, A. M.Silveira, Gustavo Gil daCMS Collaboration2022-06-25T05:03:16Z20201748-0221http://hdl.handle.net/10183/241035001119366With increasing instantaneous luminosity at the LHC come additional reconstruction challenges. At high luminosity, many collisions occur simultaneously within one proton-proton bunch crossing. The isolation of an interesting collision from the additional "pileup" collisions is needed for effective physics performance. In the CMS Collaboration, several techniques capable of mitigating the impact of these pileup collisions have been developed. Such methods include charged-hadron subtraction, pileup jet identification, isospin-based neutral particle "δβ" correction, and, most recently, pileup per particle identification. This paper surveys the performance of these techniques for jet and missing transverse momentum reconstruction, as well as muon isolation. The analysis makes use of data corresponding to 35.9 fb−1 collected with the CMS experiment in 2016 at a center-of-mass energy of 13 TeV. The performance of each algorithm is discussed for up to 70 simultaneous collisions per bunch crossing. Significant improvements are found in the identification of pileup jets, the jet energy, mass, and angular resolution, missing transverse momentum resolution, and muon isolation when using pileup per particle identification.application/pdfengJournal of Instrumentation. Bristol. Vol. 15, no. 9 (Sept. 2020), P09018, 59 p.Colisões proton-protonAceleradores de partículasCalorimetriaCalorimeter methodsCalorimetersLarge detector-systems performancePileup mitigation at CMS in 13 TeV dataEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001119366.pdf.txt001119366.pdf.txtExtracted Texttext/plain161408http://www.lume.ufrgs.br/bitstream/10183/241035/2/001119366.pdf.txt13ebae0b24cf97b1a42da7cc7408ea70MD52ORIGINAL001119366.pdfTexto completo (inglês)application/pdf1624557http://www.lume.ufrgs.br/bitstream/10183/241035/1/001119366.pdf8d7ce3b7a015424981ffb30cbb39bcf4MD5110183/2410352023-07-23 03:39:15.344509oai:www.lume.ufrgs.br:10183/241035Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-07-23T06:39:15Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Pileup mitigation at CMS in 13 TeV data |
title |
Pileup mitigation at CMS in 13 TeV data |
spellingShingle |
Pileup mitigation at CMS in 13 TeV data Sirunyan, A. M. Colisões proton-proton Aceleradores de partículas Calorimetria Calorimeter methods Calorimeters Large detector-systems performance |
title_short |
Pileup mitigation at CMS in 13 TeV data |
title_full |
Pileup mitigation at CMS in 13 TeV data |
title_fullStr |
Pileup mitigation at CMS in 13 TeV data |
title_full_unstemmed |
Pileup mitigation at CMS in 13 TeV data |
title_sort |
Pileup mitigation at CMS in 13 TeV data |
author |
Sirunyan, A. M. |
author_facet |
Sirunyan, A. M. Silveira, Gustavo Gil da CMS Collaboration |
author_role |
author |
author2 |
Silveira, Gustavo Gil da CMS Collaboration |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Sirunyan, A. M. Silveira, Gustavo Gil da CMS Collaboration |
dc.subject.por.fl_str_mv |
Colisões proton-proton Aceleradores de partículas Calorimetria |
topic |
Colisões proton-proton Aceleradores de partículas Calorimetria Calorimeter methods Calorimeters Large detector-systems performance |
dc.subject.eng.fl_str_mv |
Calorimeter methods Calorimeters Large detector-systems performance |
description |
With increasing instantaneous luminosity at the LHC come additional reconstruction challenges. At high luminosity, many collisions occur simultaneously within one proton-proton bunch crossing. The isolation of an interesting collision from the additional "pileup" collisions is needed for effective physics performance. In the CMS Collaboration, several techniques capable of mitigating the impact of these pileup collisions have been developed. Such methods include charged-hadron subtraction, pileup jet identification, isospin-based neutral particle "δβ" correction, and, most recently, pileup per particle identification. This paper surveys the performance of these techniques for jet and missing transverse momentum reconstruction, as well as muon isolation. The analysis makes use of data corresponding to 35.9 fb−1 collected with the CMS experiment in 2016 at a center-of-mass energy of 13 TeV. The performance of each algorithm is discussed for up to 70 simultaneous collisions per bunch crossing. Significant improvements are found in the identification of pileup jets, the jet energy, mass, and angular resolution, missing transverse momentum resolution, and muon isolation when using pileup per particle identification. |
publishDate |
2020 |
dc.date.issued.fl_str_mv |
2020 |
dc.date.accessioned.fl_str_mv |
2022-06-25T05:03:16Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
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http://hdl.handle.net/10183/241035 |
dc.identifier.issn.pt_BR.fl_str_mv |
1748-0221 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001119366 |
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1748-0221 001119366 |
url |
http://hdl.handle.net/10183/241035 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Journal of Instrumentation. Bristol. Vol. 15, no. 9 (Sept. 2020), P09018, 59 p. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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