1 Ocak 2017 Dergi makalesi Açık Erişim

CERN İşbirliği

Citation Style Language JSON

{
  "DOI": "10.1140/epjc/s10052-017-5225-7", 
  "abstract": "<p>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\u2013proton 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   $0.061\u00b10.006\\phantom{\\rule{4pt}{0ex}}\\text{(stat.)}\u00b10.014\\phantom{\\rule{4pt}{0ex}}\\text{(syst.)}$  and   $0.093\u00b10.017\\phantom{\\rule{4pt}{0ex}}\\text{(stat.)}\u00b10.021\\phantom{\\rule{4pt}{0ex}}\\text{(syst.)}$  for jet transverse momenta of 200\u2013400   $\\text{GeV}$  and 1400\u20131600   $\\text{GeV}$ , respectively.</p>", 
  "author": [
    {
      "family": "CERN \u0130\u015fbirli\u011fi"
    }
  ], 
  "container_title": "European Physical Journal C", 
  "id": "107153", 
  "issue": "10", 
  "issued": {
    "date-parts": [
      [
        2017, 
        1, 
        1
      ]
    ]
  }, 
  "title": "Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2", 
  "type": "article-journal", 
  "volume": "77"
}