__smbhome.uscs.susx.ac.uk_bw233_Desktop_SRO_SRO - ATLAS_Received 01-11-17_10.1140-epjc-s10052-017-5004-5.pdf (5.99 MB)
Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
journal contribution
posted on 2023-06-09, 08:39 authored by Benedict AllbrookeBenedict Allbrooke, Lily AsquithLily Asquith, Alessandro CerriAlessandro Cerri, C A Chavez Barajas, Antonella De SantoAntonella De Santo, Fabrizio SalvatoreFabrizio Salvatore, I Santoyo Castillo, K Suruliz, Mark SuttonMark Sutton, Iacopo Vivarelli, The ATLAS CollaborationThe 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.
Funding
ATLAS; G0275; STFC-SCIENCE AND TECHNOLOGY FACILITIES COUNCIL; ST/I006048/1
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Publication status
- Published
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- Published version
Journal
The European Physical Journal C - Particles and FieldsISSN
1434-6044Publisher
Springer VerlagExternal DOI
Issue
490Volume
77Department affiliated with
- Physics and Astronomy Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-11-06First Open Access (FOA) Date
2017-11-06First Compliant Deposit (FCD) Date
2017-11-06Usage metrics
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