Speaker
James Lattimer
(Stony Brook University)
Description
Traditional Bayesian methods for inferring neutron star properties from observations begin by parameterizing equation of state (pressure-energy density) space in order to generate mass-radius information. These methods contain uncertainties from their arbitrary choices of equation of state models and their parameters. Those uncertainties are at least as large as the observational uncertainties. We develop an alternative strategy by directly parameterizing mass-radius space instead of pressure-energy density space, and then using a precision analytical method for inverting mass-radius relations into their underlying equations of state.
Primary author
James Lattimer
(Stony Brook University)
