Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/114972
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Type: Journal article
Title: Jet reconstruction and performance using particle flow with the ATLAS detector
Author: Aaboud, M.
Aad, G.
Abbott, B.
Abdallah, J.
Abdinov, O.
Abeloos, B.
Abidi, S.
AbouZeid, O.
Abraham, N.
Abramowicz, H.
Abreu, H.
Abreu, R.
Abulaiti, Y.
Acharya, B.
Adachi, S.
Adamczyk, L.
Adelman, J.
Adersberger, M.
Adye, T.
Affolder, A.
et al.
Citation: European Physical Journal C, 2017; 77(7):466-1-466-47
Publisher: Springer
Issue Date: 2017
ISSN: 1434-6044
1434-6052
Statement of
Responsibility: 
M. Aaboud ... P. Jackson ... A. Petridis ... M.J. White ... [et al.] (The ATLAS Collaboration)
Abstract: This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb⁻¹ 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.
Keywords: ATLAS Collaboration
Rights: © CERN for the benefit of the ATLAS collaboration 2017. This article is an open access publication
RMID: 0030075236
DOI: 10.1140/epjc/s10052-017-5031-2
Appears in Collections:Physics publications

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