Predicted by Einstein and discovered in 1979, gravitational lensing helps astrophysicists understand the evolving shape of the universe.

These projects, selected during the process to plan the future of US particle physics, are all set to come online within the next 10 years.

Our best model of particle physics explains only about 5 percent of the universe.

To keep up with an impending astronomical increase in data about our universe, astrophysicists turn to machine learning.

Astrophysicists use a catalog of extended gamma-ray sources spotted by Fermi spacecraft to home in on mysterious properties of deep space.

SLAC receives three awards for the development of quantum technology for dark matter searches and quantum computing

New technology could help future SuperCDMS SNOLAB experiment expand the search for light dark matter particles

The event attracted 124 participants and explores the successes and challenges of the theory that describes subatomic particles and fundamental forces.

Some scientists spend decades trying to catch a glimpse of a rare process.

The SuperCDMS SNOLAB project, a multi-institutional effort led by SLAC, is expanding the hunt for dark matter to particles with properties not accessible to any other experiment.

The Large Synoptic Survey Telescope will track billions of objects for 10 years, creating unprecedented opportunities for studies of cosmic mysteries.

The accomplished particle physicist will prepare the lab for its role in DUNE, a next-generation experiment designed to demystify neutrinos and their fundamental role in the universe.