1 Ocak 2017 Dergi makalesi Açık Erişim

CERN İşbirliği

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    <subfield code="a">&lt;p&gt;With the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13   $\text{TeV}$  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   $\text{TeV}$ . The impact of charged-particle separations and multiplicities on the track reconstruction performance is discussed. The track reconstruction efficiency in the cores of jets with transverse momenta between 200 and 1600   $\text{GeV}$  is quantified using a novel, data-driven, method. The method uses the energy loss,   $\phantom{\rule{0.333333em}{0ex}}\text{d}E/dx$ , 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   $0.061±0.006\phantom{\rule{4pt}{0ex}}\text{(stat.)}±0.014\phantom{\rule{4pt}{0ex}}\text{(syst.)}$  and   $0.093±0.017\phantom{\rule{4pt}{0ex}}\text{(stat.)}±0.021\phantom{\rule{4pt}{0ex}}\text{(syst.)}$  for jet transverse momenta of 200–400   $\text{GeV}$  and 1400–1600   $\text{GeV}$ , respectively.&lt;/p&gt;</subfield>
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    <subfield code="a">Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2</subfield>
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