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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

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