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Thursday, August 25, 2022 at 3:30pm to 4:30pm
"Machine Learning and Cosmology"
Abstract:
This lecture will explore the use of machine learning as a tool for cosmological simulation. Can neural networks provide a better way of modeling multi-scale physics in cosmology and other applications? Can we use machine learning to improve our ability to forward model the universe from initial conditions to observations? Will these tools enable cosmologists to extract more information than is encoded in the traditional two point statistics from upcoming surveys like the Rubin Observatory, Roman Space Telescope, DESI and the Simons Observatory? How can we interpret these models?
Dial-In Information
To view via Zoom, please contact Monica Carpenter (mla20@cornell.edu) or Jason Jennings (jej34@cornell.edu) for the link.
Monica Carpenter
607-255-3727
David Spergel
Simons Foundation
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