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Jet reconstruction and performance using particle flow with the ATLAS Detector
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.ORCID iD: 0000-0002-1253-8583
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.
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Number of Authors: 2857
2017 (English)In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 77, article id 466Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2017. Vol. 77, article id 466
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Subatomic Physics
Identifiers
URN: urn:nbn:se:uu:diva-332890DOI: 10.1140/epjc/s10052-017-5031-2ISI: 000405437300002PubMedID: 28943792OAI: oai:DiVA.org:uu-332890DiVA, id: diva2:1154514
Note

ATLAS Collaboration, for complete list of authors see http://dx.doi.org/10.1140/epjc/s10052-017-5031-2

Available from: 2017-11-02 Created: 2017-11-02 Last updated: 2018-02-02Bibliographically approved

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Bergeaas Kuutmann, ElinBokan, PetarBrenner, RichardEkelöf, TordEllert, MattiasFerrari, ArnaudGradin, P. O. JoakimMadsen, Alexander KMårtensson, MikaelÖhman, HenrikRangel Smith, CamilaDe Bruin, Pedro Sales
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