Optimisation of the CMS ECAL clustering algorithms in view of LHC-Run 3

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...

Full description

Saved in:
Bibliographic Details
Published inJournal of physics. Conference series Vol. 2374; no. 1; pp. 12015 - 12018
Main Author Lyon, Anne-Mazarine
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.11.2022
Subjects
Algorithms
Clustering
Large Hadron Collider
Optimization
Physics
Radiation damage
Solenoids
Online AccessGet full text
ISSN1742-6588
1742-6596
1742-6596
DOI10.1088/1742-6596/2374/1/012015

Cover

More Information
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1742-6588
1742-6596
1742-6596
DOI:10.1088/1742-6596/2374/1/012015