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Auralee Edelen (SLAC National Accelerator Laboratory)12/08/2025, 14:30MC6 - Beam Instrumentation, Controls, AI/ML, and Operational AspectsContributed Oral Presentation
SLAC and collaborators are developing infrastructure and algorithms for deploying online physics models and combining them with machine learning (ML) models and ML-based feedback from its running accelerators. These models predict details of the beam phase space distribution, include nonlinear collective effects, and leverage high performance computing and ML-based acceleration of simulations...
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Elena Ros (University of Colorado Boulder)12/08/2025, 14:50MC6 - Beam Instrumentation, Controls, AI/ML, and Operational AspectsContributed Oral Presentation
Non-destructive diagnostics able to resolve transverse offsets and longitudinal separation of ultra-relativistic, two-bunch electron beams are necessary for a variety of applications including the ion channel laser (ICL) and other plasma wakefield (PWFA) experiments. A prototype electro-optic beam positioning monitor (EOS-BPM) utilizing two independent laser pulses traveling through a pair of...
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Dennis Turner (Thomas Jefferson National Accelerator Facility)12/08/2025, 15:10MC6 - Beam Instrumentation, Controls, AI/ML, and Operational AspectsContributed Oral Presentation
During the operation of the Continuous Electron Beam Accelerator Facility (CEBAF), one or more unstable superconducting radio-frequency (SRF) cavities often cause beam loss trips while the unstable cavities themselves do not necessarily trip off. The present RF controls for the legacy cavities report at only 1 Hz, which is too slow to detectfast transient instabilities during these trip...
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