Nonparametric GP-based high-density extensions yield softer EOS posteriors with larger uncertainties than parametric PP extensions when jointly constrained by multi-messenger neutron star observations.
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Two inference frameworks are developed for neutron star properties from r-mode gravitational waves, one assuming electromagnetic distance and the other estimating distance via universal relations plus an assumed equation of state, with Fisher-matrix error estimates.
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Equation of State Extrapolation Systematics: Parametric vs. Nonparametric Inference of Neutron Star Structure
Nonparametric GP-based high-density extensions yield softer EOS posteriors with larger uncertainties than parametric PP extensions when jointly constrained by multi-messenger neutron star observations.
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Inferring neutron star properties through gravitational waves from r-modes and their relativistic counterparts
Two inference frameworks are developed for neutron star properties from r-mode gravitational waves, one assuming electromagnetic distance and the other estimating distance via universal relations plus an assumed equation of state, with Fisher-matrix error estimates.