Using machine learning to parametrize postmerger signals from binary neutron stars. (arXiv:2201.06461v1 [gr-qc] CROSS LISTED)

There is growing interest in the detection and characterization of
gravitational waves from postmerger oscillations of binary neutron stars. These
signals contain information about the nature of the remnant and the
high-density and out-of-equilibrium physics of the postmerger processes, which
would complement any electromagnetic signal. However, the construction of
binary neutron star postmerger waveforms is much more complicated than for
binary black holes: (i) there are theoretical uncertainties in the neutron-star
equation of state and other aspects of the high-density …

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