As particle accelerator technology moves into the high-luminosity era, the need for extreme precision and unprecedented collision energy keeps growing. Given also the Laboratory's desire to reduce ...
Machine learning could help reveal undiscovered particles within data from the Large Hadron Collider
Scientists used a neural network, a type of brain-inspired machine learning algorithm, to sift through large volumes of particle collision data. Particle physicists are tasked with mining this massive ...
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Scientists are developing machine learning tools for improving particle accelerator operations
One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility unique is that it was the first linear accelerator to ...
Researchers from Trinity College Dublin’s School of Engineering have built a powerful new machine that lets us watch precisely what happens when tiny particles — far smaller than a grain of sand — hit ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
The topics in this series were developed by New Scientist in association with the Museum of Applied Arts and Sciences in Sydney. This article was paid for by MAAS and commissioned and edited ...
Scientists running the Large Hadron Collider, aka the "big bang machine", announced Friday they've discovered a brand new particle during one of their experiments. The discovery's announcement first ...
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