Menlo Park, Calif. — Researchers from the Department of Energy’s SLAC National Accelerator Laboratory and Stanford University have for the first time shown that neural networks – a form of artificial intelligence – can accurately analyze the complex distortions in spacetime known as gravitational lenses 10 million times faster than traditional methods.
At a recent meeting, scientists shared ideas for searching for dark matter on the (relative) cheap.
Researchers at the Department of Energy’s SLAC National Accelerator Laboratory are on a quest to solve one of physics’ biggest mysteries: What exactly is dark matter – the invisible substance that accounts for 85 percent of all the matter in the universe but can’t be seen even with our most advanced scientific instruments?
A NASA rocket experiment could use the Doppler effect to look for signs of dark matter in mysterious X-ray emissions from space.
The Heavy Photon Search at Jefferson Lab is looking for a hypothetical particle from a hidden “dark sector.”