Super-Resolution without High-Resolution Labels for Black Hole Simulations
Thomas Helfer, Thomas D.P. Edwards, Jessica Dafflon, Kaze W.K. Wong,, Matthew Lyle Olson

TL;DR
This paper presents a super-resolution method for black hole simulations that avoids high-resolution labels, significantly reducing constraint violations and improving scalability in modeling black hole mergers.
Contribution
A novel super-resolution approach that leverages fundamental equations in general relativity, eliminating the need for high-resolution labels in black hole simulations.
Findings
Reduces constraint violation by 10-100 times
Generalizes well to out-of-distribution simulations
Improves simulation fidelity without high-res labels
Abstract
Generating high-resolution simulations is key for advancing our understanding of one of the universe's most violent events: Black Hole mergers. However, generating Black Hole simulations is limited by prohibitive computational costs and scalability issues, reducing the simulation's fidelity and resolution achievable within reasonable time frames and resources. In this work, we introduce a novel method that circumvents these limitations by applying a super-resolution technique without directly needing high-resolution labels, leveraging the Hamiltonian and momentum constraints-fundamental equations in general relativity that govern the dynamics of spacetime. We demonstrate that our method achieves a reduction in constraint violation by one to two orders of magnitude and generalizes effectively to out-of-distribution simulations.
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Taxonomy
TopicsAdaptive optics and wavefront sensing · Advanced Image Processing Techniques · Advanced X-ray Imaging Techniques
