Samuel D. Lane, Ph.D., assistant professor of physics at the University of Pikeville (UPIKE), has been awarded a 2025-26 ...
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 ...
Muons are a key subatomic particle in the discovery of new physics, but after particle collision, they’re difficult to track.
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 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 ...
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 ...
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 ...
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 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 ...
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