Deep learning techniques for energy clustering in the CMS ECAL

The reconstruction of electrons and photons in CMS depends on topological clustering of the energy deposited by an incident particle in different crystals of the electromagnetic calorimeter (ECAL). These clusters are formed by aggregating neighbouring crystals according to the expected topology of a...

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Veröffentlicht in:	Journal of physics. Conference series 2023-02, Vol.2438 (1), p.12077
1. Verfasser:	Valsecchi, Davide
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cluster analysis Clustering Deep learning Electrons Energy Energy measurement Energy resolution Graph neural networks Machine learning Photons Physics Reconstruction Satellite constellations Topology
Online-Zugang:	Volltext
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