Application of machine learning techniques at the CERN Large Hadron Collider

Machine learning techniques have been used extensively in several domains of Science and Engineering for decades. These powerful tools have been applied also to the domain of high-energy physics, in the analysis of the data from particle collisions, for years already. Accelerator physics, however, h...

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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, Rivkin, Leonid, Salvachua, Belen, Schenk, Michael, Garcia, Rogelio Tomas, Valentino, Gianluca
Lenguaje:eng
Publicado: SISSA 2020
Materias:
Accelerators and Storage Rings
Computing and Computers
Acceso en línea:https://dx.doi.org/10.22323/1.364.0006
http://cds.cern.ch/record/2771000

Internet

https://dx.doi.org/10.22323/1.364.0006
http://cds.cern.ch/record/2771000

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