One of the things that makes the main particle accelerator at the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility unique is that it was the first linear accelerator to deliver a continuous stream of electrons. Today, the accelerator’s efficiency and stability are critical to groundbreaking experiments by nuclear physicists from around the world for probing the tiniest building blocks of matter.
Scientists are developing machine learning tools for improving particle accelerator operations
