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dc.contributor.authorHayrapetyan, A.
dc.contributor.authorBhowmik, Sandeep
dc.contributor.authorBlanco Fernández, Sergio 
dc.contributor.authorBrochero Cifuentes, Javier Andrés 
dc.contributor.authorCabrillo Bartolomé, José Ibán 
dc.contributor.authorCalderón Tazón, Alicia 
dc.contributor.authorDuarte Campderros, Jorge 
dc.contributor.authorFernández García, Marcos 
dc.contributor.authorGómez Gramuglio, Gervasio 
dc.contributor.authorLasaosa García, Clara
dc.contributor.authorMartínez Rivero, Celso
dc.contributor.authorMartínez Ruiz del Árbol, Pablo 
dc.contributor.authorMatorras Weinig, Francisco 
dc.contributor.authorMatorras Cuevas, Pablo 
dc.contributor.authorNavarrete Ramos, Efrén
dc.contributor.authorPiedra Gómez, Jonatan 
dc.contributor.authorScodellaro, Luca 
dc.contributor.authorVila Álvarez, Iván 
dc.contributor.authorVizán García, Jesús Manuel 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-10-22T15:47:50Z
dc.date.available2024-10-22T15:47:50Z
dc.date.issued2024-09
dc.identifier.issn1748-0221
dc.identifier.urihttps://hdl.handle.net/10902/34323
dc.description.abstractThe performance of muon tracking, identification, triggering, momentum resolution, and momentum scale has been studied with the CMS detector at the LHC using data collected at √sNN = 5.02 TeV in proton-proton (pp) and lead-lead (PbPb) collisions in 2017 and 2018, respectively, and at √sNN = 8.16 TeV in proton-lead (pPb) collisions in 2016. Muon efficiencies, momentum resolutions, and momentum scales are compared by focusing on how the muon reconstruction performance varies from relatively small occupancy pp collisions to the larger occupancies of pPb collisions and, finally, to the highest track multiplicity PbPb collisions. We find the efficiencies of muon tracking, identification, and triggering to be above 90% throughout most of the track multiplicity range. The momentum resolution and scale are unaffected by the detector occupancy. The excellent muon reconstruction of the CMS detector enables precision studies across all available collision systems.es_ES
dc.description.sponsorshipIndividuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 101115353, 101002207, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Science Committee, project no. 22rl-037 (Armenia); the Belgian Federal Science Policy Office; the Fonds pour la Formation à 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 and FWO (Belgium) under the “Excellence of Science — EOS" — be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010 and Fundamental Research Funds for the Central Universities (China); the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Shota Rustaveli National Science Foundation, grant FR-22-985 (Georgia); the Deutsche Forschungsgemeinschaft (DFG), under Germany’s Excellence Strategy — EXC 2121 “Quantum Universe" — 390833306, and under project number 400140256 — GRK2497; the Hellenic Foundation for Research and Innovation (HFRI), Project Number 2288 (Greece); the Hungarian Academy of Sciences, the New National Excellence Program — ÚNKP, the NKFIH research grants K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64 (Hungary); the Council of Science and Industrial Research, India; ICSC — National Research Center for High Performance Computing, Big Data and Quantum Computing and FAIR — Future Artificial Intelligence Research, funded by the EU NexGeneration program (Italy); the Latvian Council of Science; the Ministry of Education and Science, project no. 2022/WK/14, and the National Science Center, contracts Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552 (Poland); the Fundação para a Ciência e a Tecnologia, grant CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; MCIN/AEI/10.13039/501100011033, ERDF “a way of making Europe", and the Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2017-0765 and Programa Severo Ochoa del Principado de Asturias (Spain); the Chulalongkorn Academic into Its 2nd Century Project Advancement Project, and the National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, grant B37G660013 (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA).es_ES
dc.format.extent48 p.es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Physicses_ES
dc.rights© 2024 CERN. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceJournal of Instrumentation, 2024, 19(9), P09012es_ES
dc.subject.otherInstrumentation and methods for heavy-ion reactions and fission studieses_ES
dc.subject.otherLarge detector systems for particle and astroparticle physicses_ES
dc.subject.otherMuon spectrometerses_ES
dc.titlePerformance of CMS muon reconstruction from proton-proton to heavy ion collisionses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1088/1748-0221/19/09/P09012es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1088/1748-0221/19/09/P09012
dc.type.versionpublishedVersiones_ES


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© 2024 CERN. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.Excepto si se señala otra cosa, la licencia del ítem se describe como © 2024 CERN. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.