Publication:
Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data

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dc.contributor.authorTumasyan, A.
dc.contributor.authorIşıldak, Bora
dc.contributor.departmentNatural and Mathematical Sciences
dc.contributor.ozuauthorIŞILDAK, Bora
dc.creatorThe CMS Collaboration
dc.date.accessioned2024-02-26T12:55:31Z
dc.date.available2024-02-26T12:55:31Z
dc.date.issued2023-11
dc.description.abstractA description is presented of the algorithms used to reconstruct energy deposited in the CMS hadron calorimeter during Run 2 (2015-2018) of the LHC. During Run 2, the characteristic bunch-crossing spacing for proton-proton collisions was 25 ns, which resulted in overlapping signals from adjacent crossings. The energy corresponding to a particular bunch crossing of interest is estimated using the known pulse shapes of energy depositions in the calorimeter, which are measured as functions of both energy and time. A variety of algorithms were developed to mitigate the effects of adjacent bunch crossings on local energy reconstruction in the hadron calorimeter in Run 2, and their performance is compared.en_US
dc.description.sponsorshipThe Leventis Foundation; the Alfred 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 and FWO (Belgium) under the "Excellence of Science - EOS" - be.h project n. 30820817; the Being Municipal Science& Technology Commission, No. Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Hellenic Foundation for Research and Innovation (HFRI), Project Number 2288 (Greece); the Deutsche Forschungsgemeinschaft (DFG), under Germany's Excellence Strategy - EXC 2121 "Quantum Universe" - 390833306, and under project number 400140256 - GRK2497; the Hungarian Academy of Sciences, the New National Excellence Program - UNKP, the NKFIH research grants K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460, K 143477, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64 (Hungary); the Council of Science and Industrial Research, India; the National Research Foundation of Korea (NRF/MSIT) grant No. 2020R1C1C1005916 (Korea); 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 Fundacao para a Ciencia 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 Investigacion Cientifica y Tecnica de Excelencia Maria 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 B05F650021 (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (U.S.A.).
dc.description.versionPublisher versionen_US
dc.identifier.doi10.1088/1748-0221/18/11/P11017en_US
dc.identifier.issn1748-0221en_US
dc.identifier.scopus2-s2.0-85182444219
dc.identifier.urihttp://hdl.handle.net/10679/9227
dc.identifier.urihttps://doi.org/10.1088/1748-0221/18/11/P11017
dc.identifier.volume11en_US
dc.identifier.wos001127857800001
dc.language.isoengen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.publisherIOP Publishingen_US
dc.relation.ispartofJournal of Instrumentation
dc.relation.publicationcategoryInternational Refereed Journal
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.keywordsCalorimetersen_US
dc.subject.keywordsData reduction methodsen_US
dc.titlePerformance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 dataen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isOrgUnitOfPublication7a8a2b87-4f48-440a-a491-3c0b2888cbca
relation.isOrgUnitOfPublication.latestForDiscovery7a8a2b87-4f48-440a-a491-3c0b2888cbca

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