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Towards automatic setup of 18 MeV electron beamline using machine learning

To improve the performance-critical stability and brightness of the electron bunch at injection into the proton-driven plasma wakefield at the AWAKE CERN experiment, automation approaches based on unsupervised machine learning (ML) were developed and deployed. Numerical optimisers were tested togeth...

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Detalles Bibliográficos
Autores principales: Velotti, Francesco Maria, Goddard, Brennan, Kain, Verena, Ramjiawan, Rebecca, Della Porta, Giovanni Zevi, Hirlaender, Simon
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:https://dx.doi.org/10.1088/2632-2153/acce21
http://cds.cern.ch/record/2834558