Generating gravitational waveform libraries of exotic compact binaries with deep learning
Current gravitational wave (GW) detections rely on the existence of libraries of theoretical waveforms. Consequently, finding new physics with GWs requires libraries of nonstandard models, which are computationally demanding. We discuss how deep learning frameworks can be used to generate new waveforms "learned"from a simulation dataset obtained, say, from numerical relativity simulations. Concret