Quantifying the Information Gain from Future High-Precision Radius Measurements for Identifying Twin Neutron Stars
This study employs Bayesian inference and information-theoretic measures to demonstrate that future neutron star radius measurements with a precision of approximately 0.2 km are sufficient to extract nearly all available information for identifying twin neutron stars, marking the point of diminishing scientific returns for distinguishing hadron-quark phase transitions.