Large Synoptic Survey Telescope (LSST)
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Artificial Intelligence Analyzes Gravitational Lenses 10 Million Times Faster
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.
Standard Model of the Universe Withstands Most Precise Test by Dark Energy Survey
Scientists Complete the First “Science Raft” for the LSST
Delving Into the 'Dark Universe' with the Large Synoptic Survey Telescope
Symmetry: Twinkle, Twinkle, Little Supernova
Using Twinkles, the new simulation of images of our night sky, scientists get ready for a gigantic cosmological survey unlike any before.
Symmetry: 2016 year in particle physics
Scientists furthered studies of the Higgs boson, neutrinos, dark matter, dark energy and cosmic inflation and continued the search for undiscovered particles, forces and principles.
Symmetry: Deep Learning Takes on Physics
Can the same type of technology Facebook uses to recognize faces also recognize particles?
SLAC’s New Computer Science Division Teams with Stanford to Tackle Data Onslaught
Symmetry: Exploring the Dark Universe with Supercomputers
Next-generation telescopic surveys will work hand-in-hand with supercomputers to study the nature of dark energy.
Symmetry: The Booming Science of Dwarf Galaxies
A recent uptick in the discovery of the smallest, oldest galaxies benefits studies of dark matter, galaxy formation and the evolution of the universe.
