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

Fermi National Accelerator Laboratory officially broke ground March 15 on a major new particle accelerator project that will power cutting-edge physics experiments for many decades to come. The new ...

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 ...

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 ...

In the late 2020s, Fermilab will begin sending the world's most intense beam of neutrinos through Earth's crust to detectors in South Dakota for the international Deep Underground Neutrino Experiment, ...

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 ...

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 ...