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,...
In this talk, I will discuss some recently progresses in extracting the higher dimensional structures of the nucleon via the framework of generalized parton distributions. Specifically, I will discuss how the proton structure can be studied with the higher-energy exclusive productions of $J/\psi$ particle off the nucleon. In particular, I will discuss the challenge of extracting these...
