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A new machine learning algorithm rapidly reconstructs 3D images from X-ray data.

Schematic of a machine learning algorithm that reconstructs 3D images from X-ray data

An upgrade to SLAC’s renowned Linac Coherent Light Source will allow it to deliver X-ray laser beams that are 10,000 times brighter with pulses that arrive up to a million times per second.

Experiments running at these higher pulse rates will allow scientists to capture ultrafast processes with greater precision, collect data more efficiently and explore phenomena that were previously out of reach.

Vera C. Rubin Observatory will conduct the 10-year Legacy Survey of Space and Time (LSST), which will collect 60 petabytes of data to address some of the most pressing questions about the structure and evolution of the universe and the...

Researchers taking the first-ever direct measurement of atom temperature in extremely hot materials inadvertently disproved a decades-old theory and upended our understanding of superheating.

$Graphic representation shows a pulse of yellow light hitting a lattice and diffracting into a spectrum of color$

Water is all around us, yet its surface layer is surprisingly hard to study. Experiments at SLAC’s X-ray laser are bringing it into focus.

Two water strider insects with long, thin legs cast shadows on dark blue water surface with blurred background reflections.

SLUO represents scientists and engineers from universities and laboratories around the world involved in particle physics, astrophysics and accelerator physics research at SLAC.

A downloadable PDF fact sheet about the NSF-DOE Vera C. Rubin Observatory and the SLAC-built LSST Camera that will be used for the 10-year Legacy Survey of Space and Time.