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Performance of the local reconstruction algorithms for the cms hadron calorimeter with run 2 data

dc.contributor.authorTumasyan, A.
dc.contributor.authorAdam, W.
dc.contributor.authorAndrejkovic, J. W.
dc.contributor.authorÁlvarez González, Bárbara 
dc.contributor.authorCuevas Maestro, Francisco Javier 
dc.contributor.authorFernández Menéndez, Javier 
dc.contributor.authorFolgueras Gómez, Santiago 
dc.contributor.authorGonzález Caballero, Isidro 
dc.contributor.authorGonzález Fernández, Juan Rodrigo 
dc.contributor.authorPalencia Cortezón, José Enrique 
dc.contributor.authorRamón Álvarez, Clara 
dc.contributor.authorRodríguez Bouza, Víctor 
dc.contributor.authorSoto Rodríguez, Alejandro 
dc.contributor.authorTrapote Fernández, Andrea 
dc.contributor.authorVico Villalba, Carlos 
dc.date.accessioned2024-07-11T07:34:28Z
dc.date.available2024-07-11T07:34:28Z
dc.date.issued2023
dc.identifier.citationJournal of Instrumentation, 11, (2023); doi:10.1088/1748-0221/18/11/P11017
dc.identifier.issn1748-0221
dc.identifier.urihttps://hdl.handle.net/10651/73715
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.
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, 884104, and COST Action CA16108 (European Union); 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).
dc.language.isoeng
dc.relation.ispartofJournal of Instrumentation
dc.rights⃝c 2023 CERN for the benefit of the CMS collaboration. Published by IOP Publishing
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85182444219&doi=10.1088%2f1748-0221%2f18%2f11%2fP11017&partnerID=40&md5=5337252faf1e6ff21283d973805b0c07
dc.titlePerformance of the local reconstruction algorithms for the cms hadron calorimeter with run 2 data
dc.typejournal article
dc.identifier.doi10.1088/1748-0221/18/11/P11017
dc.relation.projectIDMCIN/AEI/10.13039/501100011033MDM-2017-0765
dc.relation.projectIDCA16108
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/752730/EU 
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/765710/EU 
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/824093/EU 
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/884104/EU 
dc.relation.publisherversionhttp://dx.doi.org/10.1088/1748-0221/18/11/P11017
dc.rights.accessRightsopen access


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⃝c  2023 CERN for the benefit of the CMS collaboration. Published by IOP Publishing
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