While high-energy physics and cosmology seem worlds apart in terms of sheer scale, physicists and cosmologists at Argonne are using similar machine learning methods to address classification problems for both subatomic particles and galaxies.
An experiment at the Argonne Wakefield Accelerator demonstrates the potential of a novel metamaterial structure to yield higher accelerating gradients than current particle accelerator technology provides.
Although a lot of time and effort in particle physics are devoted to finding ways to increase the energy of certain experiments, sometimes it is even more important to find ways to safely, quickly and easily remove energy from an experiment.
