Neural network surrogate approximates precessing compact binary gravitational waveforms up to 1000x faster than the base EOB model with validated accuracy.
IV B we evaluated the faithfulness of our sur- rogate model to SEOBNRv5PHM, using the CPU ver- sion of our model without quaternion downsampling as the reference configuration
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Fast neural network surrogate for multimodal effective-one-body gravitational waveforms from generically precessing compact binaries
Neural network surrogate approximates precessing compact binary gravitational waveforms up to 1000x faster than the base EOB model with validated accuracy.