Edelen draws on machine learning to fine tune particle accelerators, while Kurinsky develops dark matter detectors informed by quantum information science.
The Rubin Observatory's LSST Camera will take enormously detailed images of the night sky from atop a mountain in Chile. Down below the mountain, high-speed computers will send the data out into the world. What happens in between?
Managing the unprecedented amount of data that will soon stream from Rubin Observatory means more than buying tons of hard drives. SLAC scientist Richard Dubois explains what will go into Rubin’s U.S. data facility.
Fulfilling a prediction of Einstein’s theory of General Relativity, researchers report the first-ever recordings of X-ray emissions from the far side of a black hole.
From the invisible world of elementary particles to the mysteries of the cosmos, recipients of this prestigious award for early career scientists explore nature at every level.
Rebecca Leane and colleagues showed dark matter could heat planets in our galaxy to incredible temperatures. Here, she explains how that works and how it could pave the way for sensitive new searches for the mysterious substance.
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.