Explaining machine-learned particle-flow reconstruction

The particle-flow (PF) algorithm is used in general-purpose particle detectors to reconstruct a comprehensive particle-level view of the collision by combining information from different subdetectors. A graph neural network (GNN) model, known as the machine-learned particle-flow (MLPF) algorithm, ha...

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Detalles Bibliográficos
Autores principales: Mokhtar, Farouk, Kansal, Raghav, Diaz, Daniel, Duarte, Javier, Pata, Joosep, Pierini, Maurizio, Vlimant, Jean-Roch
Lenguaje:eng
Publicado: 2021
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/2797847

Internet

http://cds.cern.ch/record/2797847

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