Probing the frontiers of nuclear physics with AI at the EIC (II)

Machine Learning Applications for Improving Accelerator Operations at the EIC

Not scheduled

20m

Speaker

Weijian Lin (Brookhaven National Laboratory)

Description

Particle accelerators are among the largest and most complicated instruments used for basic research in experimental physics. As a result, accelerator operation is always time consuming, not very fault tolerant, and requires expert knowledge. In this talk we will describe how we use machine learning techniques to streamline and improve accelerator operations at multiple accelerators at BNL, and discuss how these ML methods will benefit the EIC.