Non-parametric inference of the neutron star equation of state from gravitational wave observations
arXiv:1811.12529 · doi:10.1103/PhysRevD.99.084049
Abstract
We develop a non-parametric method for inferring the universal neutron star (NS) equation of state (EOS) from gravitational wave (GW) observations. Many different possible realizations of the EOS are generated with a Gaussian process conditioned on a set of nuclear-theoretic models. These synthetic EOSs are causal and thermodynamically stable by construction, span a broad region of the pressure-density plane, and can be selected to satisfy astrophysical constraints on the NS mass. Associating every synthetic EOS with a pair of component masses and calculating the corresponding tidal deformabilities , we perform Monte Carlo integration over the GW likelihood for and to directly infer a posterior process for the NS EOS. We first demonstrate that the method can accurately recover an injected GW signal, and subsequently use it to analyze data from GW170817, finding a canonical deformability of and for the pressure at twice the nuclear saturation density at 90 confidence, in agreement with previous studies, when assuming a loose EOS prior. With a prior more tightly constrained to resemble the theoretical EOS models, we recover and . We further infer the maximum NS mass supported by the EOS to be () with the loose (tight) prior. The Bayes factor between the two priors is , implying that neither is strongly preferred by the data and suggesting that constraints on the EOS from GW170817 alone may be relatively prior-dominated.
27 pages, 12 figures; references added
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