Jet reconstruction and performance using particle flow with the ATLAS Detector

Aaboudd, M, Aad, G, Abbott, B, Abdallah, J, Abdinov, O, Abeloos, B, Abidi, SH, AbouZeid, OS, Abraham, NL, Abramowicz, H
et al (show 2846 more authors) (2017) Jet reconstruction and performance using particle flow with the ATLAS Detector. EUROPEAN PHYSICAL JOURNAL C, 77 (7). 466-.

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This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb[Formula: see text] of ATLAS data from 8 TeV proton-proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability.

Item Type: Article
Additional Information: 67 pages in total, author list starting page 51, 37 figures, 1 table, final version published in Eur. Phys. J C, all figures including auxiliary figures are available at
Uncontrolled Keywords: ATLAS Collaboration, ATLAS Collaboration, ATLAS Collaboration, ATLAS Collaboration
Depositing User: Symplectic Admin
Date Deposited: 18 Aug 2017 11:50
Last Modified: 19 Jan 2023 06:57
DOI: 10.1140/epjc/s10052-017-5031-2
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