Advanced Control Methods for Particle Accelerators (ACM4PA) 2019 Workshop Report
Alexander Scheinker, Claudio Emma, Auralee L. Edelen, Spencer Gessner

TL;DR
This workshop report discusses novel control and diagnostics algorithms for particle accelerators, aiming to improve beam quality and reduce losses across various accelerator types through community-driven development.
Contribution
It highlights the need for shared algorithms and diagnostics to optimize diverse accelerators and fosters collaboration among physicists and control experts.
Findings
Identification of key diagnostics needs for different accelerators.
Proposal for community-shared control algorithms.
Recognition of challenges in real-time beam optimization.
Abstract
Los Alamos is currently developing novel particle accelerator controls and diagnostics algorithms to enable higher quality beams with lower beam losses than is currently possible. The purpose of this workshop was to consider tuning and optimization challenges of a wide range of particle accelerators including linear proton accelerators such as the Los Alamos Neutron Science Center (LANSCE), rings such as the Advanced Photon Source (APS) synchrotron, free electron lasers (FEL) such as the Linac Coherent Light Source (LCLS) and LCLS-II, the European X-ray Free Electron Laser (EuXFEL), the Swiss FEL, and the planned MaRIE FEL, and plasma wake-field accelerators such as FACET, FACET-II, and AWAKE at CERN. One major challenge is an the ability to quickly create very high quality, extremely intense, custom current and energy profile beams while working with limited real time non-invasive…
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Taxonomy
TopicsParticle Accelerators and Free-Electron Lasers · Particle accelerators and beam dynamics · Particle Detector Development and Performance
