Particle accelerators are among the most intricate scientific instruments ever devised. With millions of sensors and thousands of subsystems at risk of failure, these accelerators' human operators ...

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 ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

Whenever SLAC National Accelerator Laboratory's linear accelerator is on, packs of around a billion electrons each travel together at nearly the speed of light through metal piping. These electron ...

Particle accelerators are devices that use electromagnetic fields to speed up particles and collide them together or against a specific target. These devices are widely used by physicists to study ...

Physicists have now demonstrated a particle accelerator so small it fits inside a single molecule, shrinking one of science’s most imposing machines to the scale of chemistry. Instead of ...

The newly upgraded particle accelerator at the DoE's Stanford Linear Accelerator Center (SLAC) has produced its first X-rays. The Linac Coherent Light Source (LCLS) upgrade, LCLS-II, can emit up to 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 ...

An artificial intelligence algorithm monitors individual subsystems (left) and accelerator output (right). When output and subsystem anomalies coincide, the algorithm alerts operators and identifies ...