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Article
Report number arXiv:1510.03823 ; CERN-PH-EP-2015-206 ; CERN-PH-EP-2015-206
Title Performance of pile-up mitigation techniques for jets in pp collisions at s=8 TeV using the ATLAS detector
Related titlePerformance of pile-up mitigation techniques for jets in pp collisions at s=8 TeV using the ATLAS detector
Author(s) ATLAS Collaboration  Pokaż wszystkich 2858 autorów
Publication 2016-10-27
Imprint 10 Oct 2015
Number of pages 54
Note 38 pages, plus author list - 54 pages (total), 19 figures. Published in EPJC. All figures including auxiliary figures are available at http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/PERF-2014-03/
In: Eur. Phys. J. C 76 (2016) 581
DOI 10.1140/epjc/s10052-016-4395-z
Subject category Particle Physics - Experiment
Accelerator/Facility, Experiment CERN LHC ; ATLAS
Free keywords detector ; jet physics ; minimum bias ; calorimeter ; experimental results
Abstract The large rate of multiple simultaneous proton--proton interactions, or pile-up, generated by the Large Hadron Collider in Run 1 required the development of many new techniques to mitigate the adverse effects of these conditions. This paper describes the methods employed in the ATLAS experiment to correct for the impact of pile-up on jet energy and jet shapes, and for the presence of spurious additional jets, with a primary focus on the large 20.3 fb1 data sample collected at a centre-of-mass energy of s=8 TeV. The energy correction techniques that incorporate sophisticated estimates of the average pile-up energy density and tracking information are presented. Jet-to-vertex association techniques are discussed and projections of performance for the future are considered. Lastly, the extension of these techniques to mitigate the effect of pile-up on jet shapes using subtraction and grooming procedures is presented.
Copyright/License preprint: © 2015-2025 CERN (License: CC-BY-3.0)
publication: © 2016-2025 CERN (License: CC-BY-4.0), sponsored by SCOAP³

Corresponding record in: Inspire
Email contact: a_ciocio@lbl.gov


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