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

SLAC researchers play an important role in the data acquisition of the largest liquid-argon neutrino detector in the world, a prototype for the future Deep Underground Neutrino Experiment.

A team of electrical designers develops specialized microchips for a broad range of scientific applications, including X-ray science and particle physics.

Researchers from SLAC and around the world increasingly use machine learning to handle Big Data produced in modern experiments and to study some of the most fundamental properties of the universe.

Their work will deepen our understanding of matter in extreme conditions and fundamental particle physics.

SLAC and Stanford researchers are developing a device that combines electrical brain stimulation with EEG recording, opening potential new paths for treating neurological disorders.

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.

21 of these "science rafts" will go into the world's largest digital camera for astronomy, which is being assembled and tested at SLAC.

Effort to improve the next generation of gravitational wave detectors includes atomic studies of new and better coatings for LIGO’s mirrors at SSRL.

System tests at SLAC continue with 32 light sensors - up from a single one - in a small-scale version of the future experiment, which will use nearly 500 of them.