Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
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s10052-017-5004-5_pdfa.pdf
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5.99 MB
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Checksum (MD5)
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Author(s)
Taylor, Frank E
Date Issued
July 2017
Journal
The European Physical Journal C
Publisher
Springer/Società Italiana di Fisica
Citation
ATLAS Collaboration, et al. “Topological Cell Clustering in the ATLAS Calorimeters and Its Performance in LHC Run 1.” The European Physical Journal C, vol. 77, no. 7, July 2017. © 2017 CERN for the benefit of the ATLAS collaboration
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1140/epjc/s10052-017-5004-5
