Critical components of all particle accelerators, beam diagnostics are responsible for quantifying the parameters of particle beams. Beam diagnostics are capable of providing extremely accurate ...

Shaping up: A new machine learning algorithm helps physicists reconstruct the shapes of particle accelerator beams from tiny amounts of training data. (Courtesy: Greg Steward/SLAC National Accelerator ...

The first full characterization measurement of an accelerator beam in six dimensions will advance the understanding and performance of current and planned accelerators around the world. The first full ...

IOTA, the new test accelerator, gives researchers rich and varied opportunities to dive deep into the physics of particle beams. On August 21, a beam of electrons successfully circulated for the first ...

Alex Bogacz, a senior scientist at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility since 1997, has spent his career in accelerator physics solving problems. From ...

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

In 2012, particle accelerators hit the headlines when researchers at CERN announced the discovery of the Higgs boson. This breakthrough discovery resulted from decades of research and experimentation ...