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

Alexander Scheinker, Simon Hirländer, Francesco Maria Velotti, Spencer Gessner, Giovanni Zevi Della Port, Verena Kain, Rebecca Ramjiawan

Research output: Working paper/PreprintPreprint

Abstract

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).
Original languageEnglish
Publication statusPublished - 2020

Publication series

NamearXiv

Fields of Science and Technology Classification 2012

  • 103 Physics, Astronomy

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