论文标题

在线多目标粒子加速器优化醒目的电子梁系列,用于同时发射和轨道控制

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

论文作者

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

论文摘要

多目标优化对于粒子加速器很重要,在粒子加速器中,必须常规满足各种竞争目标,例如横向发射率与束长度。我们开发并演示了一种在线多时间刻度多目标优化算法,该算法对粒子加速器执行实时反馈。我们证明了在CERN高级质子驱动的血浆Wakefield加速实验(Awake)中同时最大程度地减少发射率并保持光束线中梁的参考轨迹的能力。

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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