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Autoencoder Method Targets Quasinormal Mode Parameter Estimation in Ringdown Signals
A new arXiv preprint describes using an autoencoder to estimate the parameters of ringdown gravitational waves, which are modeled as combinations of quasinormal modes carrying information about the remnant Kerr black hole. The work focuses on reliably extracting multiple quasinormal modes, a task that is difficult with conventional fitting methods. The paper appears in the cross-listed machine learning category.