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Machine learning in accelerator physics: Applications at the CERN Large Hadron Collider

With the advent of Machine Learning a few decades ago, Science and Engineering have had new powerful tools at their disposal. Particularly in the domain of particle physics, Machine Learning techniques have become an essential part in the analysis of data from particle collisions. Accelerator physic...

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Detalles Bibliográficos
Autores principales:	Van der Veken, Frederik, Azzopardi, Gabriella, Blanc, Fred, Coyle, Loic, Fol, Elena, Giovannozzi, Massimo, Pieloni, Tatiana, Redaelli, Stefano, Salvachua Ferrando, Belen Maria, Schenk, Michael, Garcia, Rogelio Tomas, Valentino, Gianluca
Lenguaje:	eng
Publicado:	SISSA 2020
Materias:	Computing and Computers
Acceso en línea:	https://dx.doi.org/10.22323/1.372.0044 http://cds.cern.ch/record/2799883

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