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@ARTICLE{Aaboud:397276,
      author       = {Aaboud, M. and others},
      collaboration = {{ATLAS Collaboration}},
      title        = {{P}erformance of the {ATLAS} track reconstruction
                      algorithms in dense environments in {LHC} {R}un 2},
      journal      = {The European physical journal / C},
      volume       = {77},
      number       = {10},
      issn         = {1434-6052},
      address      = {Berlin},
      publisher    = {Springer},
      reportid     = {PUBDB-2017-13337, CERN-EP-2017-045. arXiv:1704.07983},
      pages        = {673},
      year         = {2017},
      note         = {44 pages in total, author list starting page 28, 17
                      figures, 1 table, submitted to EPJC, All figures including
                      auxiliary figures are available at
                      http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/PERF-2015-08/},
      abstract     = {With the increase in energy of the Large Hadron Collider to
                      a centre-of-mass energy of 13 TeV for Run 2, events with
                      dense environments, such as in the cores of high-energy
                      jets, became a focus for new physics searches as well as
                      measurements of the Standard Model. These environments are
                      characterized by charged-particle separations of the order
                      of the tracking detectors sensor granularity. Basic track
                      quantities are compared between 3.2 fb$^{-1}$ of data
                      collected by the ATLAS experiment and simulation of
                      proton-proton collisions producing high-transverse-momentum
                      jets at a centre-of-mass energy of 13 TeV. The impact of
                      charged-particle separations and multiplicities on the track
                      reconstruction performance is discussed. The efficiency in
                      the cores of jets with transverse momenta between 200 GeV
                      and 1600 GeV is quantified using a novel, data-driven,
                      method. The method uses the energy loss, dE/dx, to identify
                      pixel clusters originating from two charged particles. Of
                      the charged particles creating these clusters, the measured
                      fraction that fail to be reconstructed is $0.061 \pm 0.006
                      \textrm{(stat.)} \pm 0.014 \textrm{(syst.)}$ and $0.093 \pm
                      0.017 \textrm{(stat.)}\pm 0.021 \textrm{(syst.)}$ for jet
                      transverse momenta of 200-400 GeV and 1400-1600 GeV,
                      respectively.},
      cin          = {ATLAS},
      ddc          = {530},
      cid          = {I:(DE-H253)ATLAS-20120731},
      pnm          = {611 - Fundamental Particles and Forces (POF3-611)},
      pid          = {G:(DE-HGF)POF3-611},
      experiment   = {EXP:(DE-H253)LHC-Exp-ATLAS-20150101},
      typ          = {PUB:(DE-HGF)25 / PUB:(DE-HGF)29},
      eprint       = {1704.07983},
      howpublished = {arXiv:1704.07983},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:1704.07983;\%\%$},
      pubmed       = {pmid:29081711},
      doi          = {10.1140/epjc/s10052-017-5225-7},
      url          = {https://bib-pubdb1.desy.de/record/397276},
}