RIKEN SPring-8 Center AI-Assisted Beam Control Development Team

We are conducting the research on accelerator and beam control by applying state-of-the-art computing technologies, such as artificial intelligence. In particular, we are developing various algorithms to maximize the brilliance of synchrotron X-rays from the X-ray free-electron laser, SACLA, and the large synchrotron radiation facility, SPring-8, and to automatically operate the accelerators. We are exploring advanced methods to control accelerators by applying machine learning algorithms, such as Bayesian optimization, deep neural networks, and attention mechanisms, to beam data and computer simulation results.

Main Research Fields

• Interdisciplinary Science & Engineering

Related Research Fields

• Engineering
• Informatics
• Mathematical & Physical Sciences
• Accelerators
• Beam physics
• Beam control

Keywords

• X-ray free-electron laser
• Synchrotron radiation
• Machine Learning
• Control system
• Intelligent system