Computational Astrophysics
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
SLAC and Stanford astrophysicists made crucial contributions to the galaxy survey, showing that the universe clumps and expands as predicted by our best cosmological models.
Symmetry: What to Do with the Data?
Physicists and scientific computing experts prepare for an onslaught of petabytes.
Q&A: SLAC Cosmology Research Featured in Terrence Malick’s ‘Voyage of Time’
KIPAC’s Ralf Kaehler and Tom Abel contributed two scenes to the science documentary narrated by Brad Pitt and Cate Blanchett.
DOE Approves Construction of 3-D Galaxy-mapping Project ‘DESI’
The Dark Energy Spectroscopic Instrument will measure light from 35 million cosmic objects for new insights into what causes the universe to expand faster and faster.
SLAC’s New Computer Science Division Teams with Stanford to Tackle Data Onslaught
Finding ways to handle torrents of data from LSST and LCLS-II will also advance “exascale” computing.
SLAC Researchers Recreate the Extreme Universe in the Lab
Computer simulations and lab experiments help researchers understand the violent universe and could potentially lead to new technologies that benefit humankind.
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.