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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Francesco Maria Velotti, Brennan Goddard, Verena Kain, Rebecca Ramjiawan, Giovanni Zevi Della Porta, Simon Hirlaender
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: IOP Publishing 2023-01-01
Saila:Machine Learning: Science and Technology
Gaiak:
Sarrera elektronikoa:https://doi.org/10.1088/2632-2153/acce21
Etiketak: Etiketa erantsi
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