AI Predicts Beam Dynamics in Storage Rings
Published:Dec 18, 2025 08:51
•1 min read
•ArXiv
Analysis
This research explores the application of neural networks for predicting beam properties in storage rings, which is a crucial area for accelerator physics. The successful implementation could lead to improved beam stability and performance in various scientific applications.
Key Takeaways
- •Applies neural networks to predict beam properties in storage rings.
- •Aims to improve beam stability and performance.
- •Could have implications for accelerator-based scientific research.
Reference
“The research focuses on the prediction of beam transverse position, phase, and length.”