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

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

CMS

Collaboration

Jun 17, 2023

36 pages

Published in:

JINST 18 (2023) 11, P11017

Published: Nov 20, 2023

e-Print:

2306.10355 [hep-ex]

DOI:

10.1088/1748-0221/18/11/P11017

Report number:

CMS-PRF-22-001,
CERN-EP-2023-093

Experiments:

CERN-LHC-CMS

View in:

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Abstract: (IOP)

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.

Note:

Replaced with the published version. Added the journal reference and the DOI. All the figures and tables can be found at http://cms-results.web.cern.ch/cms-results/public-results/publications/PRF-22-001 (CMS Public Pages)

Calorimeters
Data reduction methods
p p: scattering
p p: colliding beams
calorimeter: hadronic
crossing
particle identification: performance
energy dependence
time dependence
CMS

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