Machine learning drives "autonomous" control of particle accelerators
Researchers are using machine learning to enable autonomous control of particle accelerators, opening up new possibilities for commissioning and operating high-power accelerators. The technology has been successfully applied to the CAFe2 superconducting segment, achieving global trajectory adaptive control.
SourceScience China Press·JournalScience China Physics Mechanics and Astronomy·TypeExperimental study·DateFeb 18, 2025