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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...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/2632-2153/ac917c http://cds.cern.ch/record/2842568 |