New results from the world’s most sensitive dark matter detector put the best-ever limits on particles called WIMPs, a leading candidate for what makes up our universe’s invisible mass.
Edgar Marrufo Villalpando went from Mexico to the United States and from computational physics to astronomical instrumentation to pursue his childhood dream of becoming a physicist.
The prototype of a novel particle detection system for the international Deep Underground Neutrino Experiment successfully recorded its first accelerator neutrinos.
About 2,200 people took part in hands-on science activities, performances, lectures and exhibits at Sanford Underground Research Facility's Neutrino Day celebration this year.
The largest camera ever built for astrophysics has completed the long journey from SLAC National Accelerator Laboratory in California to the summit of Cerro Pachón in Chile.
Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries?
For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater complexity.
