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

Atlas Collaboration

Research output: Contribution to journalArticle

141 Citations (Scopus)

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.

Original languageEnglish (US)
Article number490
JournalEuropean Physical Journal C
Volume77
Issue number7
DOIs
StatePublished - Jul 1 2017

Fingerprint

Colliding beam accelerators
Calorimeters
calorimeters
cells
Hadrons
Clustering algorithms
Momentum
Calibration
showers
transverse momentum
hadrons
proximity
emerging
retarding
electromagnetism
collisions

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Physics and Astronomy (miscellaneous)

Cite this

Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1. / Atlas Collaboration.

In: European Physical Journal C, Vol. 77, No. 7, 490, 01.07.2017.

Research output: Contribution to journalArticle

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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.",
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