Innovative machine learning techniques are rapidly transforming particle accelerator physics by integrating advanced data analytics with established accelerator models. This integration has led to ...

Particle accelerators are often framed as exotic machines built only to chase obscure particles, but they are really precision tools that use electric fields and magnets to steer tiny beams of matter ...

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 ...

Scientists have developed a new machine-learning platform that makes the algorithms that control particle beams and lasers smarter than ever before. Their work could help lead to the development of ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Deep beneath the border of France and Switzerland is the most massive, most ambitious experiment ever undertaken by humanity. The Large Hadron Collider (LHC) is a particle accelerator that uses a ...

It takes years of on-the-job training to learn the ins and outs of particle accelerator operation. Despite the fact that accelerator operators are essential to keeping an accelerator laboratory afloat ...

Researchers from the Institute of Modern Physics (CAS-IMP) have introduced an innovative ML model for classifying faults occurring in SRF cavities during accelerator operation. Deployed at the CAFE2 ...