RIKEN Nishina Center for Accelerator-Based Science Automated Operation Technology Team

Accelerator and large experimental equipment systems are usually designed and constructed to realize their highest-performance operations daily by measuring sufficient data and utilizing classical optimization methods based on physics. However, errors in data measured, huge dimensions of the parameter space to be optimized, and so on require skillful researchers/operators and in some cases result in insufficient optimization. Automated Operation Technology Team plans to develop automated operations of these large experimental systems by introducing recent AI technology such as machine learning to realize more effective operations and performance upgrades of these large systems.

Main Research Fields

• Interdisciplinary Science & Engineering

Related Research Fields

• Mathematical & Physical Sciences

Keywords

• Cyclotron
• Beam dynamics
• Beam diagnostics
• Accelerator control
• Machine learning