Optimisation of the CMS ECAL clustering algorithms in view of LHC-Run 3
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Author / Producer
Date
2022
Publication Type
Conference Paper
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yes
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Abstract
The Run 3 of the Large Hadron Collider (LHC) will be characterised by an enhanced level of noise in the CMS electromagnetic calorimeter (ECAL), caused by the ageing of the photosensors and the loss of crystal transparency due to radiation damage. To face these new conditions, some parameters of the clustering algorithms of the ECAL, namely the Particle-Flow Clustering and SuperClustering algorithms, are tuned to offer optimal performance in terms of signal preservation and noise and pile-up rejection. The methods used for the tuning as well as its performance are presented.
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published
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Journal / series
Volume
2374 (1)
Pages / Article No.
12015
Publisher
IOP Publishing
Event
5th International Conference on Technology and Instrumentation in Particle Physics (TIPP 2021)
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03593 - Dissertori, Günther / Dissertori, Günther