Progress towards an improved particle flow algorithm at CMS with machine learning

The particle-flow (PF) algorithm, which infers particles based on tracks and calorimeter clusters, is of central importance to event reconstruction in the CMS experiment at the CERN LHC, and has been a focus of development in light of planned Phase-2 running conditions with an increased pileup and d...

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Detalles Bibliográficos
Autores principales: Mokhtar, Farouk, Pata, Joosep, Duarte, Javier, Wulff, Eric, Pierini, Maurizio, Vlimant, Jean-Roch
Lenguaje:eng
Publicado: 2023
Materias:
physics.ins-det
Detectors and Experimental Techniques
hep-ex
Particle Physics - Experiment
cs.LG
Computing and Computers
physics.data-an
Other Fields of Physics
Acceso en línea:http://cds.cern.ch/record/2856311

Internet

http://cds.cern.ch/record/2856311

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