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Machine Learning Applied to the Analysis of Nonlinear Beam Dynamics Simulations for the CERN Large Hadron Collider and Its Luminosity Upgrade

A machine learning approach to scientific problems has been in use in science and engineering for decades. High-energy physics provided a natural domain of application of machine learning, profiting from these powerful tools for the advanced analysis of data from particle colliders. However, machine...

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Detalles Bibliográficos
Autores principales:	Giovannozzi, Massimo, Maclean, Ewen, Montanari, Carlo Emilio, Valentino, Gianluca, Van der Veken, Frederik F
Lenguaje:	eng
Publicado:	2021
Materias:	Computing and Computers Accelerators and Storage Rings
Acceso en línea:	https://dx.doi.org/10.3390/info12020053 http://cds.cern.ch/record/2765666

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