Confronting the nucleonic hypothesis with current neutron star observations from GW170817 and PSR J0740+6620
Hoa Dinh Thi, Chiranjib Mondal, and Francesca Gulminelli

TL;DR
This study uses Bayesian inference with recent neutron star observations to test the nucleonic hypothesis, finding current data compatible with nucleons as the core constituents, and highlighting potential signals of exotic matter with future data.
Contribution
It applies a Bayesian meta-modeling approach to neutron star data to evaluate the nucleonic hypothesis at supra-saturation densities.
Findings
Current observations are compatible with the nucleonic hypothesis.
Different constraints significantly impact the predicted neutron star properties.
Future data could reveal signals of exotic degrees of freedom.
Abstract
The nuclear matter equation of state is relatively well constrained at sub-saturation densities thanks to the knowledge from nuclear physics. However, studying its behavior at supra-saturation densities is a challenging task. Fortunately, the extraordinary progress recently made in observations of neutron stars and neutron star mergers has provided us with unique opportunities to unfold the properties of dense matter. Under the assumption that nucleons are the only constituents of neutron star cores, we perform a Bayesian inference using the so-called meta-modeling technique with a nuclear-physics-informed prior. The latest information from the GW170817 event by the LIGO-Virgo Collaboration (LVC) and from the radius measurement of the heaviest known neutron star PSR J0740+6620 by the Neutron Star Interior Composition Explorer (NICER) telescope and X-ray Multi-Mirror (XMM-Newton) are…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Gamma-ray bursts and supernovae · Geophysics and Gravity Measurements
