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@ARTICLE{Tumasyan:600097,
      author       = {Tumasyan, Armen and others},
      collaboration = {{CMS Collaboration}},
      title        = {{P}erformance of the local reconstruction algorithms for
                      the {CMS} hadron calorimeter with {R}un 2 data},
      journal      = {Journal of Instrumentation},
      volume       = {18},
      number       = {11},
      issn         = {1748-0221},
      address      = {London},
      publisher    = {Inst. of Physics},
      reportid     = {PUBDB-2023-07750, arXiv:2306.10355. CMS-PRF-22-001.
                      CERN-EP-2023-093},
      pages        = {P11017},
      year         = {2023},
      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.},
      keywords     = {p p: scattering (INSPIRE) / p p: colliding beams (INSPIRE)
                      / calorimeter: hadronic (INSPIRE) / crossing (INSPIRE) /
                      particle identification: performance (INSPIRE) / energy
                      dependence (INSPIRE) / time dependence (INSPIRE) / CMS
                      (INSPIRE) / CERN LHC Coll (INSPIRE) / programming (INSPIRE)
                      / data analysis method (INSPIRE) / experimental methods
                      (INSPIRE) / Calorimeters (autogen) / Data reduction methods
                      (autogen)},
      cin          = {CMS},
      ddc          = {610},
      cid          = {I:(DE-H253)CMS-20120731},
      pnm          = {611 - Fundamental Particles and Forces (POF4-611) /
                      HIDSS-0002 - DASHH: Data Science in Hamburg - Helmholtz
                      Graduate School for the Structure of Matter
                      $(2019_IVF-HIDSS-0002)$ / DFG project 390833306 - EXC 2121:
                      Quantum Universe (390833306)},
      pid          = {G:(DE-HGF)POF4-611 / $G:(DE-HGF)2019_IVF-HIDSS-0002$ /
                      G:(GEPRIS)390833306},
      experiment   = {EXP:(DE-H253)LHC-Exp-CMS-20150101},
      typ          = {PUB:(DE-HGF)16},
      eprint       = {2306.10355},
      howpublished = {arXiv:2306.10355},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:2306.10355;\%\%$},
      UT           = {WOS:001127857800001},
      doi          = {10.1088/1748-0221/18/11/P11017},
      url          = {https://bib-pubdb1.desy.de/record/600097},
}