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gravitational-waves

topic2 events
papersTODAY 04:00 UTC

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.

gravitational-waves/autoencoders/physics/research
papersTODAY 04:00 UTC

Symbolic regression estimates neutron-star radii from gravitational-wave data alone

A new arXiv preprint explores using symbolic regression to infer neutron-star radii from gravitational-wave signals emitted during binary neutron-star inspirals. Such signals directly constrain component masses and tidal deformabilities, but radii are normally obtained through electromagnetic observations. The approach aims to support multi-messenger studies by deriving radius estimates without relying on electromagnetic data.

symbolic-regression/gravitational-waves/astrophysics/arxiv