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Online multi-objective particle accelerator optimization of the AWAKE electron beam line for simultaneous emittance and orbit control
Author(s) -
Alexander Scheinker,
Simon Hirlaender,
Francesco Velotti,
Spencer Gessner,
G. Zevi Della Porta,
Verena Kain,
B. Goddard,
Rebecca Ramjiawan
Publication year - 2020
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/5.0003423
Subject(s) - thermal emittance , particle accelerator , beamline , physics , plasma acceleration , acceleration , electron , large hadron collider , orbit (dynamics) , proton , transverse plane , beam (structure) , particle beam , aerospace engineering , computer science , optics , nuclear physics , engineering , classical mechanics , structural engineering
Multi-objective optimization is important for particle accelerators where various competing objectives must be satisfied routinely such as, for example, transverse emittance vs bunch length. We develop and demonstrate an online multi-time scale multi-objective optimization algorithm that performs real time feedback on particle accelerators. We demonstrate the ability to simultaneously minimize the emittance and maintain a reference trajectory of a beam in the electron beamline in CERN's Advanced Proton Driven Plasma Wakefield Acceleration Experiment (AWAKE).

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