Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8568
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dc.contributor.authorCMS Collaborationen_US
dc.contributor.authorTumasyan, A.en_US
dc.contributor.authorALPANA, A.en_US
dc.contributor.authorDUBE, SOURABHen_US
dc.contributor.authorKANSAL, B.en_US
dc.contributor.authorLAHA, A.en_US
dc.contributor.authorPANDEY, S.en_US
dc.contributor.authorRASTOGI, A.en_US
dc.contributor.authorSHARMA, SEEMA et al.en_US
dc.date.accessioned2024-02-29T09:18:21Z
dc.date.available2024-02-29T09:18:21Z
dc.date.issued2023-11en_US
dc.identifier.citationJournal of Instrumentation, 18(11).en_US
dc.identifier.issn1748-0221en_US
dc.identifier.urihttps://doi.org/10.1088/1748-0221/18/11/P11017en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8568
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.language.isoenen_US
dc.publisherIOP Publishingen_US
dc.subjectCalorimetersen_US
dc.subjectData reduction methodsen_US
dc.subject2023en_US
dc.titlePerformance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 dataen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Physicsen_US
dc.identifier.sourcetitleJournal of Instrumentationen_US
dc.publication.originofpublisherForeignen_US
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