Home > Research > Publications & Outputs > Jet reconstruction and performance using partic...

Research

Associated organisational units

Links

Text available via DOI:

View graph of relations

Jet reconstruction and performance using particle flow with the ATLAS Detector

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Jet reconstruction and performance using particle flow with the ATLAS Detector. / The ATLAS collaboration.
In: European Physical Journal C: Particles and Fields, Vol. 77, No. 7, 466, 01.07.2017.

Research output: Contribution to Journal/Magazine › Journal article › peer-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, no. 7, 466. 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(7), Article 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 1;77(7):466. doi: 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, No. 7.

Bibtex

@article{daeb12271d1a43188886ac5e61790a73,
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 = "Barton, {Adam Edward} and Michael Beattie and Bertram, {Iain Alexander} and Guennadi Borissov and Bouhova-Thacker, {Evelina Vassileva} and William Dearnaley and Harald Fox and Grimm, {Kathryn Ann Tschann} and Henderson, {Robert Charles William} and Gareth Hughes and Jones, {Roger William Lewis} and Vakhtang Kartvelishvili and Long, {Robin Eamonn} and Love, {Peter Allan} and Muenstermann, {Daniel Matthias Alfred} and Parker, {Adam Jackson} and Malcolm Skinner and Maria Smizanska and Walder, {James William} and Andy Wharton and {The ATLAS collaboration}",
year = "2017",
month = jul,
day = "1",
doi = "10.1140/epjc/s10052-017-5031-2",
language = "English",
volume = "77",
journal = "European Physical Journal C: Particles and Fields",
issn = "1434-6044",
publisher = "SPRINGER",
number = "7",

}

RIS

TY - JOUR

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

AU - Barton, Adam Edward

AU - Beattie, Michael

AU - Bertram, Iain Alexander

AU - Borissov, Guennadi

AU - Bouhova-Thacker, Evelina Vassileva

AU - Dearnaley, William

AU - Fox, Harald

AU - Grimm, Kathryn Ann Tschann

AU - Henderson, Robert Charles William

AU - Hughes, Gareth

AU - Jones, Roger William Lewis

AU - Kartvelishvili, Vakhtang

AU - Long, Robin Eamonn

AU - Love, Peter Allan

AU - Muenstermann, Daniel Matthias Alfred

AU - Parker, Adam Jackson

AU - Skinner, Malcolm

AU - Smizanska, Maria

AU - Walder, James William

AU - Wharton, Andy

AU - The ATLAS collaboration

PY - 2017/7/1

Y1 - 2017/7/1

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 - Journal article

VL - 77

JO - European Physical Journal C: Particles and Fields

JF - European Physical Journal C: Particles and Fields

SN - 1434-6044

IS - 7

M1 - 466

ER -