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Using Machine Learning to Improve Dynamic Aperture Estimates

The dynamic aperture (DA) is an important concept in the study of nonlinear beam dynamics. Several analytical models used to describe the evolution of DA as a function of time, and to extrapolate to realistic time scales that would not be reachable otherwise due to computational limitations, have be...

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Detalles Bibliográficos
Autores principales:	Van der Veken, Frederik F, Giovannozzi, Massimo, Maclean, Ewen H, Montanari, Carlo Emilio, Valentino, Gianluca
Lenguaje:	eng
Publicado:	JACoW 2021
Materias:	Accelerators and Storage Rings
Acceso en línea:	https://dx.doi.org/10.18429/JACoW-IPAC2021-MOPAB028 http://cds.cern.ch/record/2804876

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