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

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dc.contributor.author CMS Collaboration en_US
dc.contributor.author Tumasyan, A. en_US
dc.contributor.author ALPANA, A. en_US
dc.contributor.author DUBE, SOURABH en_US
dc.contributor.author KANSAL, B. en_US
dc.contributor.author LAHA, A. en_US
dc.contributor.author PANDEY, S. en_US
dc.contributor.author RASTOGI, A. en_US
dc.contributor.author SHARMA, SEEMA et al. en_US
dc.date.accessioned 2024-02-29T09:18:21Z
dc.date.available 2024-02-29T09:18:21Z
dc.date.issued 2023-11 en_US
dc.identifier.citation Journal of Instrumentation, 18(11). en_US
dc.identifier.issn 1748-0221 en_US
dc.identifier.uri https://doi.org/10.1088/1748-0221/18/11/P11017 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8568
dc.description.abstract A 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.iso en en_US
dc.publisher IOP Publishing en_US
dc.subject Calorimeters en_US
dc.subject Data reduction methods en_US
dc.subject 2023 en_US
dc.title Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data en_US
dc.type Article en_US
dc.contributor.department Dept. of Physics en_US
dc.identifier.sourcetitle Journal of Instrumentation en_US
dc.publication.originofpublisher Foreign en_US


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