NSF–DOE Vera C. Rubin Observatory has just successfully completed a series of full-system tests using an engineering test camera.

A new center brings astrophysics, data science, and AI together to answer some of the universe’s biggest questions.

Researchers have released 10 terabytes of data from the OpenUniverse project, which has created a detailed simulation of the universe astrophysicists can use to help calibrate expectations from two major new telescopes.

A new report outlines suggestions for federal investments needed for the next generation of transformative discoveries in particle physics and cosmology, including priority projects at SLAC.

The synthetic galaxy catalog will help test Roman's capabilities and foster collaboration with the Rubin project. 

The research could lead to a better understanding of extreme astrophysical environments and the development of compact high-energy radiation sources for science.

Just like we orbit the sun and the moon orbits us, the Milky Way has satellite galaxies with their own satellites. Drawing from data on those galactic neighbors, a new model suggests the Milky Way should have an additional 100...

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

SLAC scientists find a new way to explain how a black hole’s plasma jets boost particles to the highest energies observed in the universe. The results could also prove useful for fusion and accelerator research on Earth.

SLAC and Stanford researchers demonstrate that brain-mimicking ‘neural networks’ can revolutionize the way astrophysicists analyze their most complex data, including extreme distortions in spacetime that are crucial for our understanding of the universe.

SLAC and Stanford astrophysicists made crucial contributions to the galaxy survey, showing that the universe clumps and expands as predicted by our best cosmological models.

Physicists and scientific computing experts prepare for an onslaught of petabytes.