Inference of the neutron star matter equation of state: impact of new data

20 Oct 2023, 12:00
30m

Speaker

Len Brandes (Technical University of Munich)

Description

Information on the phase structure of strongly interacting matter at high baryon densities can be gained from observations of neutron stars and their detailed analysis. Bayesian inference methods are used to set constraints on the speed of sound in the interior of neutron stars, based on recent multimessenger data in combination with low-density constraints based on chiral effective field theory and perturbative QCD constraints at asymptotically high densities. The impact of the recent new heavy ($2.35 M_\odot$) black widow pulsar PSR J0952-0607 and of the unusually light supernova remnant HESS J1731-347 is inspected. A systematic Bayes factor assessment quantifies the evidence (or non-evidence) for small sound speeds ($c_s^2 \leq 0.1$), a prerequisite for a first-order phase transition, within the range of densities realised in the core of neutron stars. One of the consequences of including PSR J0952-0607 in the data base is a further stiffening of the equation-of-state, resulting for a 2.1 solar-mass neutron star in a reduced central density of less than five times the equilibrium density of normal nuclear matter. The evidence against small sound speeds in neutron star cores is further strengthened. Within the inferred posterior credible bands, only a weak first-order phase transition with a coexistence density interval $\Delta n/n \lesssim 0.2$ would be compatible with the observed data.

This work has been supported in part by DFG (Project-ID 196253076 - TRR 110) and NSFC as well as the DFG Excellence Cluster ORIGINS.

Parallel Session Invited Plenary Talk

Primary author

Len Brandes (Technical University of Munich)

Co-authors

Prof. Norbert Kaiser (Technical University of Munich) Prof. Wolfram Weise (Technical University of Munich)

Presentation materials