Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2



Aaboud, M, Aad, G, Abbott, B, Abdallah, J, Abdinov, O, Abeloos, B, Abidi, SH, AbouZeid, OS, Abraham, NL, Abramowicz, H
et al (show 2856 more authors) (2017) Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2. EUROPEAN PHYSICAL JOURNAL C, 77 (10). 673-.

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Abstract

With the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13 [Formula: see text] 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[Formula: see text] 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 [Formula: see text]. 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 [Formula: see text] is quantified using a novel, data-driven, method. The method uses the energy loss, [Formula: see text], 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 [Formula: see text] and [Formula: see text] for jet transverse momenta of 200-400 [Formula: see text] and 1400-1600 [Formula: see text], respectively.

Item Type: Article
Additional Information: 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/
Uncontrolled Keywords: ATLAS Collaboration, ATLAS Collaboration, ATLAS Collaboration, ATLAS Collaboration
Depositing User: Symplectic Admin
Date Deposited: 06 Nov 2017 11:30
Last Modified: 28 Sep 2023 06:38
DOI: 10.1140/epjc/s10052-017-5225-7
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3011614