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Improving Parametric Neural Networks for High-Energy Physics (and Beyond)

Signal-background classification is a central problem in High-Energy Physics (HEP), that plays a major role for the discovery of new fundamental particles. A recent method -- the Parametric Neural Network (pNN) -- leverages multiple signal mass hypotheses as an additional input feature to effectivel...

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Detalles Bibliográficos
Autores principales:	Anzalone, Luca, Diotalevi, Tommaso, Bonacorsi, Daniele
Lenguaje:	eng
Publicado:	2022
Materias:	hep-ex cs.LG Particle Physics - Experiment Computing and Computers
Acceso en línea:	https://dx.doi.org/10.1088/2632-2153/ac917c http://cds.cern.ch/record/2842568

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