AI for Experimental Physics

Representative topics

• Reinforcement-learning controllers for interferometers
• Bayesian / generative optical design tools
• Digital-twin-based diagnostics and forecasting
• Searching for unmodeled signals

Projects in this pillar

• RL for classical feedback control in LIGO — Apply reinforcement learning to design and tune classical feedback controllers that keep LIGO interferometers stably locked.

For an overview of all pillars and projects, see the Research Projects page.