Erlangen 2026 – wissenschaftliches Programm

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HK: Fachverband Physik der Hadronen und Kerne

HK 33: Nuclear Astrophysics IV

HK 33.2: Vortrag

Donnerstag, 19. März 2026, 14:00–14:15, PHIL A 602

Binary neutron stars: Bayesian analyses to constrain equation of state — •Giulia Huez — Theoretisch-Physikalisches Institut, Friedrich-Schiller-Universität Jena, 07743, Jena, Germany

Binary neutron star mergers are exceptional laboratories for probing the properties of nuclear matter at supranuclear densities. To extract the physical parameters of these systems and gain insights into the underlying physics, Bayesian parameter estimation techniques have been extensively employed in gravitational waves (GWs) observations. In this talk, I will present mock Bayesian analyses of full-spectrum GWs and show how it will be possible, with next-generation detectors, not only to achieve higher precision on the measured parameters but also to constrain the equation of state, using information from the post-merger. The proposed pipeline delivers inferences for the mass-radius curve, the mass dependence of the quadrupolar tidal polarizability parameter, the neutron star's maximum density and maximum mass, and the pressure-density relation itself, starting from minimal hypotheses.

Keywords: binary neutron star mergers; neutron star equation of state; multi-messenger analysis; gravitational waves; postmerger