Learning new physics efficiently with nonparametric methods

Mostrar otras versiones (1)

We present a machine learning approach for model-independent new physics searches. The corresponding algorithm is powered by recent large-scale implementations of kernel methods, nonparametric learning algorithms that can approximate any continuous function given enough data. Based on the original p...

Descripción completa

Detalles Bibliográficos
Autores principales: Letizia, Marco, Losapio, Gianvito, Rando, Marco, Grosso, Gaia, Wulzer, Andrea, Pierini, Maurizio, Zanetti, Marco, Rosasco, Lorenzo
Lenguaje:eng
Publicado: 2022
Materias:
hep-ex
Particle Physics - Experiment
cs.LG
Computing and Computers
hep-ph
Particle Physics - Phenomenology
Acceso en línea:https://dx.doi.org/10.1140/epjc/s10052-022-10830-y
http://cds.cern.ch/record/2807356
Mostrar todas las versiones(2)

Ejemplares similares