AI RESEARCH
gwBenchmarks: Stress-Testing LLM Agents on High-Precision Gravitational Wave Astronomy
arXiv CS.AI
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ArXi:2605.11269v1 Announce Type: cross Modern gravitational wave astronomy relies on modeling tasks that often require months of graduate-level effort, including building fast waveform surrogates from expensive numerical relativity simulations, modeling orbital dynamics of black holes, fitting merger remnant properties and constructing template banks. These problems demand extreme precision to detection and parameter inference, with state-of-the-art models achieving $\lesssim 10^{-4}$ relative error.