Nearly universal inverse mappings between neutron star radius R1.4 and empirical EOS parameters cause precision-dependent shifts in Bayesian posterior means via nonlinear filtering of the radius distribution.
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Hierarchical Bayesian inference on 20 high-SNR simulated binary neutron star events shows a linear lnΛ-lnQ relation suffices and constrains dynamical Chern-Simons gravity length scale to ≤10 km.
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Universal EOS-Radius Inverse Mappings Govern Precision-Dependent Inference of the Neutron Star Equation of State
Nearly universal inverse mappings between neutron star radius R1.4 and empirical EOS parameters cause precision-dependent shifts in Bayesian posterior means via nonlinear filtering of the radius distribution.
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Inferring neutron-star Love-Q relations from gravitational waves in the hierarchical Bayesian framework
Hierarchical Bayesian inference on 20 high-SNR simulated binary neutron star events shows a linear lnΛ-lnQ relation suffices and constrains dynamical Chern-Simons gravity length scale to ≤10 km.