A New Bayesian Framework with Mass-Radius-Space Priors to Constrain the Neutron Star Equation of State
The PMR method introduces a new Bayesian framework that uses mass-radius space instead of pressure-energy density space for priors when inferring neutron star equations of state (EOS). This approach is computationally efficient and reduces reliance on subjective prior choices. Analysis shows the posterior variance from prior assumptions is less than 50%, suggesting the new framework provides more robust constraints on the EOS.