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Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1

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Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1. / The ATLAS collaboration.
In: European Physical Journal C: Particles and Fields, Vol. 77, No. 7, 490, 01.07.2017.

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

Harvard

The ATLAS collaboration 2017, 'Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1', European Physical Journal C: Particles and Fields, vol. 77, no. 7, 490. https://doi.org/10.1140/epjc/s10052-017-5004-5

APA

The ATLAS collaboration (2017). Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1. European Physical Journal C: Particles and Fields, 77(7), Article 490. https://doi.org/10.1140/epjc/s10052-017-5004-5

Vancouver

The ATLAS collaboration. Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1. European Physical Journal C: Particles and Fields. 2017 Jul 1;77(7):490. doi: 10.1140/epjc/s10052-017-5004-5

Author

The ATLAS collaboration. / Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1. In: European Physical Journal C: Particles and Fields. 2017 ; Vol. 77, No. 7.

Bibtex

@article{0210769090d94061acd640aaa8fe85c9,
title = "Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1",
abstract = "The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS.",
author = "Barton, {Adam Edward} and Michael Beattie 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 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/s10052-017-5004-5",
language = "English",
volume = "77",
journal = "European Physical Journal C: Particles and Fields",
issn = "1434-6044",
publisher = "SPRINGER",
number = "7",

}

RIS

TY - JOUR

T1 - Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1

AU - Barton, Adam Edward

AU - Beattie, Michael

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 - 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 - The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS.

AB - The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS.

U2 - 10.1140/epjc/s10052-017-5004-5

DO - 10.1140/epjc/s10052-017-5004-5

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 - 490

ER -