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Multi-objective optimization is important for particle accelerators wherevarious competing objectives must be satisfied routinely such as, for example,transverse emittance vs bunch length. We develop and demonstrate an onlinemulti-time scale multi-objective optimization algorithm that performs real timefeedback on particle accelerators. We demonstrate the ability to simultaneouslyminimize the emittance and maintain a reference trajectory of a beam in theelectron beamline in CERN's Advanced Proton Driven Plasma WakefieldAcceleration Experiment (AWAKE).

Online Multi-Objective Particle Accelerator Optimization of the AWAKE Electron Beam Line for Simultaneous Emittance and Orbit Control