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@ARTICLE{Aad:491665,
      author       = {Aad, Georges and others},
      collaboration = {{ATLAS Collaboration}},
      title        = {{E}mulating the impact of additional proton–proton
                      interactions in the {ATLAS} simulation by presampling sets
                      of inelastic {M}onte {C}arlo events},
      journal      = {Computing and software for big science},
      volume       = {6},
      number       = {1},
      issn         = {2510-2036},
      address      = {Cham, Switzerland},
      publisher    = {Springer International Publishing},
      reportid     = {PUBDB-2023-00326, arXiv:2102.09495. CERN-EP-2021-007},
      pages        = {3},
      year         = {2022},
      note         = {46 pages in total, author list starting page 31, 18
                      figures, 0 tables, submitted to Computing and Software for
                      Big Science. All figures including auxiliary figures are
                      available at
                      https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/SIMU-2020-01/},
      abstract     = {The accurate simulation of additional interactions at the
                      ATLAS experiment for the analysis of proton–proton
                      collisions delivered by the Large Hadron Collider presents a
                      significant challenge to the computing resources. During the
                      LHC Run 2 (2015–2018), there were up to 70 inelastic
                      interactions per bunch crossing, which need to be accounted
                      for in Monte Carlo (MC) production. In this document, a new
                      method to account for these additional interactions in the
                      simulation chain is described. Instead of sampling the
                      inelastic interactions and adding their energy deposits to a
                      hard-scatter interaction one-by-one, the inelastic
                      interactions are presampled, independent of the hard
                      scatter, and stored as combined events. Consequently, for
                      each hard-scatter interaction, only one such presampled
                      event needs to be added as part of the simulation chain. For
                      the Run 2 simulation chain, with an average of 35
                      interactions per bunch crossing, this new method provides a
                      substantial reduction in MC production CPU needs of around
                      $20\%,$ while reproducing the properties of the
                      reconstructed quantities relevant for physics analyses with
                      good accuracy.},
      keywords     = {p p: interaction (INSPIRE) / p p: scattering (INSPIRE) /
                      CERN LHC Coll (INSPIRE) / numerical calculations: Monte
                      Carlo (INSPIRE) / crossing (INSPIRE) / ATLAS (INSPIRE) /
                      data management (INSPIRE) / data analysis method (INSPIRE)},
      cin          = {ATLAS},
      ddc          = {004},
      cid          = {I:(DE-H253)ATLAS-20120731},
      pnm          = {611 - Fundamental Particles and Forces (POF4-611)},
      pid          = {G:(DE-HGF)POF4-611},
      experiment   = {EXP:(DE-H253)LHC-Exp-ATLAS-20150101},
      typ          = {PUB:(DE-HGF)16},
      eprint       = {2102.09495},
      howpublished = {arXiv:2102.09495},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:2102.09495;\%\%$},
      doi          = {10.1007/s41781-021-00062-2},
      url          = {https://bib-pubdb1.desy.de/record/491665},
}