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CosmoGAN: Using Neural Nets to Study Dark Matter
“We were looking for two things: to be accurate and to be fast,” says co-author Zarija Lukic, a research scientist in the Computational Cosmology Center at Berkeley Lab. “GANs offer hope of being near…
Modeling 3D Map of Adolescent Universe
Using extremely faint light from galaxies 10.8 billion light years away, scientists including researchers from CRD's Computational Cosmology Center have created one of the most complete, three-dimensi…
Understanding Dark Energy
Scientists believe that dark energy—the mysterious force that is accelerating cosmic expansion—makes up about 70 percent of the mass and energy of the universe. But because they don’t know what it is,…
New York Times coverage of the 2nd Planck data release
The conference to announce the second release of data from the Planck satellite mission, as covered by the New York Times. C3 scientists lead the use of NERSC supercomputers for Planck data analysis.
In recent years astrophysics has undergone a renaissance, transforming from a data-starved to data-driven science. A new generation of experiments will gather data sets so massive that their analysis will require the use of leading-edge, high-performance computing resources. Continuing a decade-long collaboration in this field, the Computational Research and Physics Divisions at LBNL have formed the Computational Cosmology Center.
C3 is a focused collaboration of astrophysicists and computational scientists whose goals are to develop the tools, techniques, and technologies to meet the analysis challenges posed by present and future cosmological data sets.
