Pileup mitigation at CMS in 13 TeV data

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dc.authoridLitov, Leandar/0000-0002-8511-6883
dc.authoridNovaes, Sergio/0000-0003-0471-8549
dc.authoridRebello Teles, Patricia/0000-0001-9029-8506
dc.authoridVidal Marono, Miguel/0000-0002-2590-5987
dc.authoridPopov, Andrey/0000-0002-1207-0984
dc.authoridLandsberg, Greg/0000-0002-4184-9380
dc.authoridTinoco Mendes, Andre David/0000-0001-5854-7699
dc.contributor.authorSirunyan, A. M.
dc.contributor.authorTumasyan, A.
dc.contributor.authorAdam, W.
dc.contributor.authorAmbrogi, F.
dc.contributor.authorBergauer, T.
dc.contributor.authorBrandstetter, J.
dc.contributor.authorDragicevic, M.
dc.date.accessioned2025-03-23T19:34:25Z
dc.date.available2025-03-23T19:34:25Z
dc.date.issued2020
dc.departmentSinop Üniversitesi
dc.description.abstractWith 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 delta beta 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.
dc.description.sponsorshipFWF (Austria); FNRS (Belgium); FWO (Belgium); CNPq (Brazil); CAPES (Brazil); FAPERJ (Brazil); FAPERGS (Brazil); FAPESP (Brazil); MES (Bulgaria); MoST (China); NSFC (China); COLCIENCIAS (Colombia); CSF (Croatia); SENESCYT (Ecuador); MoER (Estonia); ERDF (Estonia); Academy of Finland (Finland); MEC (Finland); CEA (France); CNRS/IN2P3 (France); BMBF (Germany); DFG (Germany); HGF (Germany); GSRT (Greece); NKFIA (Hungary); DAE (India); DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); NRF (Republic of Korea); MES (Latvia); MOE (Malaysia); UM (Malaysia); BUAP (Mexico); CONACYT (Mexico); UASLP-FAI (Mexico); FCT (Portugal); JINR (Dubna); RosAtom (Russia); RFBR (Russia); MESTD (Serbia); SEIDI (Spain); FEDER (Spain); MOSTR (Sri Lanka); NSTDA (Thailand); TUBITAK (Turkey); TAEK (Turkey); NASU (Ukraine); DOE (U.S.A.); NSF (U.S.A.); Marie-Curie program (European Union); European Research Council (European Union); Horizon 2020 Grant (European Union) [675440, 752730, 765710]; Leventis Foundation; A.P. Sloan Foundation; Alexander von Humboldt Foundation; Belgian Federal Science Policy Office; Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); FWO (Belgium) [30820817]; Beijing Municipal Science & Technology Commission [Z191100007219010]; Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; Deutsche Forschungsgemeinschaft (DFG) under Germany's Excellence Strategy -EXC 2121 Quantum Universe [390833306]; HungarianAcademy of Sciences (Hungary); Council of Science and Industrial Research, India; HOMING PLUS program of the Foundation for Polish Science; European Union, Regional Development Fund; National Science Center (Poland) [Harmonia 2014/14/M/ST2/00428, Opus 2014/13/B/ST2/02543, 2014/15/B/ST2/03998, 2015/19/B/ST2/02861, Sonata-bis 2012/07/E/ST2/01406]; National Priorities Research Program by Qatar National Research Fund; Ministry of Science and Education (Russia) [14.W03.31.0026]; Tomsk Polytechnic University Competitiveness Enhancement Program (Russia); Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu [MDM-20150509]; Programa Severo Ochoa del Principado de Asturias; Thalis program; EU-ESF; Greek NSRF; Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand); Kavli Foundation; Nvidia Corporation; SuperMicro Corporation [C-1845]; NKFIA (Hungary) [123842, 123959, 124845, 124850, 125105, 128713, 128786, 129058]; BMBWF (Austria); CERN; CAS (China); MSES (Croatia); RPF (Cyprus); ERC IUT (Estonia); PUT (Estonia); HIP (Finland); MSIP (Republic of Korea); LAS (Lithuania); CINVESTAV (Mexico); LNS (Mexico); SEP (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE (Poland); NSC (Poland); MON (Russia); RAS (Russia); NRC KI (Russia); CPAN (Spain); PCTI (Spain); MST (Taipei); ThEPCenter (Thailand); IPST (Thailand); STAR (Thailand); STFC (United Kingdom); F.R.S.-FNRS (Belgium); NewNational Excellence Program UNKP (Hungary); Ministry of Science and Higher Education; Nauka Project (Russia) [FSWW-2020-0008]; Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); Welch Foundation [C-1845]; Weston Havens Foundation (U.S.A.); Aristeia program; STFC [ST/S00078X/1, ST/K001639/1, ST/H000925/2, ST/N001273/1, ST/S000739/1, ST/L005603/1, ST/M004775/1, ST/K003542/1] Funding Source: UKRI
dc.description.sponsorshipWe congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC and the CMS detector provided by the following funding agencies: BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES and CSF (Croatia); RPF (Cyprus); SENESCYT (Ecuador); MoER, ERC IUT, PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); NKFIA (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS, RFBR, and NRC KI (Russia); MESTD (Serbia); SEIDI, CPAN, PCTI, and FEDER (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter, IPST, STAR, and NSTDA (Thailand); TUBITAK and TAEK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (U.S.A.). Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 752730, and 765710 (European Union); the Leventis Foundation; the A.P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS andFWO (Belgium) under the Excellence of ScienceEOS-be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Deutsche Forschungsgemeinschaft (DFG) under Germany's Excellence Strategy -EXC 2121 Quantum Universe -390833306; the Lendulet (Momentum) Program and the Janos Bolyai Research Scholarship of the HungarianAcademy of Sciences, theNewNational Excellence Program UNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058 (Hungary); the Council of Science and Industrial Research, India; the HOMING PLUS program of the Foundation for Polish Science, cofinanced from European Union, Regional Development Fund, the Mobility Plus program of the Ministry of Science and Higher Education, theNational Science Center (Poland), contracts Harmonia 2014/14/M/ST2/00428, Opus 2014/13/B/ST2/02543, 2014/15/B/ST2/03998, and 2015/19/B/ST2/02861, Sonata-bis 2012/07/E/ST2/01406; the National Priorities Research Program by Qatar National Research Fund; the Ministry of Science and Education, grant no. 14.W03.31.0026 (Russia); the Tomsk Polytechnic University Competitiveness Enhancement Program and Nauka Project FSWW-2020-0008 (Russia); the Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu, grant MDM-20150509 and the Programa Severo Ochoa del Principado de Asturias; the Thalis and Aristeia programs cofinanced by EU-ESF and the Greek NSRF; the Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University and the Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; theWelch Foundation, contract C-1845; and theWeston Havens Foundation (U.S.A.).
dc.identifier.doi10.1088/1748-0221/15/09/P09018
dc.identifier.issn1748-0221
dc.identifier.issue9
dc.identifier.scopus2-s2.0-85096670844
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1088/1748-0221/15/09/P09018
dc.identifier.urihttps://hdl.handle.net/11486/5674
dc.identifier.volume15
dc.identifier.wosWOS:000577273400018
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIop Publishing Ltd
dc.relation.ispartofJournal of Instrumentation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250323
dc.subjectCalorimeter methods
dc.subjectCalorimeters
dc.subjectLarge detector-systems performance
dc.titlePileup mitigation at CMS in 13 TeV data
dc.typeArticle

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