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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 nearly as accurate compared to full physics simulations.” » Read More

Modeling 3D Map of Adolescent Universe

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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-dimensional maps of a slice of the adolescent universe—just 3 billion years after the Big Bang. » Read More

Understanding Dark Energy

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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, they cannot observe it directly. » Read More

New York Times coverage of the 2nd Planck data release

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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. » Read More

C3 active at Cosmology Data Management workshop


C3 researchers were active participants in ESnet's recent CrossConnects Workshop on “Improving Data Mobility & Management for International Cosmology,”, with Rollin Thomas playing a lead role on the local organizing committee, Peter Nugent giving a keynote presentation on the Palomar Transient Factory's data management, and Reijo Keskitalo talking about Planck simulations. » Read More

C3 work on Planck data analysis honored

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Julian Borrill, leader of the Computational Cosmology Center, being awarded the NASA Exceptional Public Achievement Medal for "conceiving and implementing the mission-critical high performance computing system for Planck data analysis." The medal was presented to Borrill in an Oct. 13 ceremony at NASA’s Jet Propulsion Laboratory in Pasadena, California. » Read More

In recent years astrophysics has undergone a renaissance, transforming from a data-starved to a 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.