SLAC cosmologists are using multiple images of the same quasars, produced by massive galaxies’ gravitational pull, to calibrate cosmic distances. Their work may help resolve long-standing debates about how quickly the universe is expanding.

Daniel Ratner, head of SLAC’s machine learning initiative, explains the lab’s unique opportunities to advance scientific discovery through machine learning.

Blandford’s major contributions range from energetic jets ripping forth from colossal black holes to cosmic “magnifying” glasses to gravitational waves.

Matching up maps of matter and light from the Dark Energy Survey and Fermi Gamma-ray Space Telescope may help astrophysicists understand what causes a faint cosmic gamma-ray glow.

The Large Synoptic Survey Telescope will be named for an influential astronomer who left the field better than she found it.

His work aims to deepen our understanding of dark matter, dark energy and other secrets of the universe.

The Dark Energy Spectroscopic Instrument begins final testing, setting the stage for a 5-year survey that will analyze the light of 35 million galaxies.

Early-career physicist Jonathan LeyVa helps build one of the world’s most sensitive dark matter detectors.

An “out there” theory inspired the development of the Dark Matter Radio, a device that could explain the mysterious matter that makes up 85 percent of the mass of our universe.

A SLAC/Stanford study of the population of satellite galaxies orbiting the Milky Way provides new clues about the particle nature of dark matter.

Four large meshes made from 2 miles of metal wire will extract potential signals of dark matter particles.

Building the Large Synoptic Survey Telescope also means solving extraordinary technological challenges.