Jet reconstruction and performance using particle flow with the ATLAS Detector. / The ATLAS Collaboration.

In: European Physical Journal C: Particles and Fields, Vol. 77, 466, 07.2017, p. 1-47.

Research output: Contribution to journalArticlepeer-review

Published

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Jet reconstruction and performance using particle flow with the ATLAS Detector. / The ATLAS Collaboration.

In: European Physical Journal C: Particles and Fields, Vol. 77, 466, 07.2017, p. 1-47.

Research output: Contribution to journalArticlepeer-review

Harvard

The ATLAS Collaboration 2017, 'Jet reconstruction and performance using particle flow with the ATLAS Detector', European Physical Journal C: Particles and Fields, vol. 77, 466, pp. 1-47. https://doi.org/10.1140/epjc/s10052-017-5031-2

APA

The ATLAS Collaboration (2017). Jet reconstruction and performance using particle flow with the ATLAS Detector. European Physical Journal C: Particles and Fields, 77, 1-47. [466]. https://doi.org/10.1140/epjc/s10052-017-5031-2

Vancouver

The ATLAS Collaboration. Jet reconstruction and performance using particle flow with the ATLAS Detector. European Physical Journal C: Particles and Fields. 2017 Jul;77:1-47. 466. https://doi.org/10.1140/epjc/s10052-017-5031-2

Author

The ATLAS Collaboration. / Jet reconstruction and performance using particle flow with the ATLAS Detector. In: European Physical Journal C: Particles and Fields. 2017 ; Vol. 77. pp. 1-47.

BibTeX

@article{d7ffbbfd53aa4db6a6975e54097ddc25,
title = "Jet reconstruction and performance using particle flow with the ATLAS Detector",
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.",
author = "{The ATLAS Collaboration}",
year = "2017",
month = jul,
doi = "10.1140/epjc/s10052-017-5031-2",
language = "English",
volume = "77",
pages = "1--47",
journal = "European Physical Journal C: Particles and Fields",
issn = "1434-6044",
publisher = "Springer New York",

}

RIS

TY - JOUR

T1 - Jet reconstruction and performance using particle flow with the ATLAS Detector

AU - The ATLAS Collaboration

PY - 2017/7

Y1 - 2017/7

N2 - 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.

AB - 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.

U2 - 10.1140/epjc/s10052-017-5031-2

DO - 10.1140/epjc/s10052-017-5031-2

M3 - Article

VL - 77

SP - 1

EP - 47

JO - European Physical Journal C: Particles and Fields

JF - European Physical Journal C: Particles and Fields

SN - 1434-6044

M1 - 466

ER -