The accelerator ran for ten years and made multiple contributions to the field of particle physics and our knowledge of the universe; but for decades after it was decommissioned, the high bay built to house it was used for everything from building telescopes to extracting dinosaur bones.
A proposed funding program for small- and medium-scale projects reveals insights into the science, logistical challenges, and future of particle physics research.
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.