gwBenchmarks: Stress-Testing LLM Agents on High-Precision Gravitational Wave Astronomy
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 support detection and parameter inference, with state-of-the-art models achieving $\lesssim 10^{-4}$ relative error. We study whether state-of-the-art LLM coding agents can perform such end-to-end scientific modeling, where success requires constructing models with stringent accuracy criteria and reasoning about physical systems. We intr...
| Authors | Tousif Islam, Digvijay Wadekar, Zihan Zhou |
|---|---|
| Primary category | gr-qc |
| Published | 11 May 2026 |
| Last updated at source | 20 September 2026 |
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