Accelerator operations & safety

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.

He met with SLAC staff and toured the lab’s cutting-edge facilities, diving into world-leading research in X-ray and ultrafast science, artificial intelligence, astrophysics and more.

Researchers aim to refine control room tools, improve training, and pave the way for smarter cooperation between humans and machines by studying how operators think and act under pressure.

The high-energy upgrade will keep the U.S. at the forefront of X-ray science and technology, allowing researchers to advance fields such as sustainability, human health and quantum information.

Wan-Lin Hu’s job is to improve the way people and artificial intelligence collaborate to run SLAC’s complex machines.

FACET-II will pave the way for a future generation of particle colliders and powerful light sources, opening avenues in high-energy physics, medicine, and materials, biological and energy science.

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

This leap in capability will allow scientists to investigate quantum and chemical systems more directly than ever before.

It combines human knowledge and expertise with the speed and efficiency of “smart” computer algorithms.

For mechanical engineer Sarah Edwards, SSRL is the ultimate classic car.

In SLAC’s accelerator control room, shift lead Ben Ripman and a team of operators fine-tune X-ray beams for science experiments around the clock.

“The Worlds Within” and “Fabrication of the Accelerator Structure,” now available digitally in high fidelity, tell the story of Stanford Linear Accelerator Center’s inception and construction.