An autoencoder-based surrogate waveform model for quasi-circular binary-black-hole mergers

Anastasios Theodoropoulos, Nino Villanueva, Osvaldo Gramaxo Freitas +6

The generation of accurate waveforms from binary black hole (BBH) mergers is a major effort in Gravitational-Wave Astronomy. In recent years, machine-learning-based surrogate model…