Overview of the Machine Learning and Numerical Optimiser Applications on Beam Transfer Systems for LHC and Its Injectors

Machine learning and numerical optimisation algorithms are getting more and more popular in the accelerator physics community and, thanks to the computing power available, their application in daily operation more likely. In the CERN accelerator complex, and specifically on the beam transfer systems...

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Detalles Bibliográficos
Autores principales: Velotti, Francesco, Barnes, Michael, Carlier, Etienne, Dutheil, Yann, Fraser, Matthew, Goddard, Brennan, Magnin, Nicolas, Ramjiawan, Rebecca, Renner, Elisabeth, Van Trappen, Pieter, Waagaard, Elias
Lenguaje:eng
Publicado: 2022
Materias:
Accelerators and Storage Rings
Acceso en línea:https://dx.doi.org/10.18429/JACoW-IPAC2022-TUPOST045
http://cds.cern.ch/record/2845738

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