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Title: | Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data |
Authors: | CMS Collaboration Tumasyan, A. ALPANA, A. DUBE, SOURABH KANSAL, B. LAHA, A. PANDEY, S. RASTOGI, A. SHARMA, SEEMA et al. Dept. of Physics |
Keywords: | Calorimeters Data reduction methods 2023 |
Issue Date: | Nov-2023 |
Publisher: | IOP Publishing |
Citation: | Journal of Instrumentation, 18(11). |
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. |
URI: | https://doi.org/10.1088/1748-0221/18/11/P11017 http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8568 |
ISSN: | 1748-0221 |
Appears in Collections: | JOURNAL ARTICLES |
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