This Collection showcases original research on linear accelerator (LINAC) technologies, covering topics from the design and optimisation of LINAC components and beam diagnostics, to emerging ...

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 ...

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 ...

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 ...

For the first time, researchers have demonstrated that a laser-plasma accelerator can reliably drive a free-electron laser for more than eight hours. Published in Physical Review Accelerators and ...

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 ...

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A powerful X-Ray machine at Stanford Linear Accelerator Center in Menlo Park is giving a special look into some historic documents. With a combination of history, science, technology and liberal arts, ...

Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it? When Radha Mastandrea started her undergraduate physics program at MIT in 2015, she ...