Muons are a key subatomic particle in the discovery of new physics, but after particle collision, they’re difficult to track.

A new review in Nature chronicles the many ways machine learning is popping up in particle physics research. Experiments at the Large Hadron Collider produce about a million gigabytes of data every ...

Operators of the primary particle accelerator at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility are getting a new tool to help them quickly address issues that can ...

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Stanford researchers built a particle accelerator that fits on a chip, miniaturizing a technology that can now find new applications in research and medicine. On a hill overlooking Stanford University ...

An icon in the shape of a lightning bolt. Impact Link A machine that will investigate the forces that hold matter together finally has a home. On Thursday, the US Department of Energy announced that ...

Operators of Jefferson Lab's primary particle accelerator are getting a new tool to help them quickly address issues that can prevent it from running smoothly. The machine learning system has passed ...