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 ...

A team of scientists has devised a machine learning algorithm that calculates, with low computational time, how the ATLAS detector in the Large Hadron Collider would respond to the ten times more data ...

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 ...

The volume of data particle physicists have to sort through at the Large Hadron Collider is staggering, and it’s about to increase by an order of magnitude. To cope with this torrent of data, CERN is ...

Ten years ago, a team operating the world’s largest particle collider made history by discovering the Higgs boson particle, a finding key to understanding the creation of the universe, earning it the ...

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 ...

It’s a common comedy trope: the industrial production line that speeds up beyond the limits of the humans who must work on it. Particle physicists found themselves facing a potential Lucy-and-Ethel ...

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 ...