2022 Frontera User Meeting - Yueying Ni (IMAGE)
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Astrophysicist Yueying Ni from Carnegie Mellon University has used Frontera to develop AI-assisted "super-resolution" simulations of the cosmic web, encompassing clusters of galaxies at scales of millions of light years. Their deep neural network can enhance the resolution of the cosmic web by 512 times and can greatly expedite the next-generation of large cosmological simulations of the universe. She helped develop the large cosmological hydrodynamic simulation ASTRID on Frontera. It models the evolution of millions of galaxies and supermassive black holes over cosmic history. "We performed the ASTRID simulation on the Frontera supercomputer. Currently, this is the largest cosmological simulation up to date that covered the epoch of Cosmic Noon, when star formation and supermassive black holes both reached their peak activity," Ni said. Her work shows that deep learning and cosmological simulations can form a powerful combination to model the universe over its full dynamic range. "Accompanied by the theoretical modeling and simulations, we will soon grasp a more comprehensive understanding of how galaxies and supermassive black holes evolved to the current day universe," Ni said. Her team published their findings in the Proceedings of the National Academy of Sciences May 2021 and a series of articles in the Monthly Notices of the Royal Astronomical Society from 2021 to 2022.
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