Strong model-agnostic constraints for twin-star solutions
Sofia Blomqvist, Christian Ecker, Tyler Gorda, Aleksi Vuorinen

TL;DR
This paper conducts a Bayesian, model-agnostic analysis of neutron star equations of state, identifying two classes of twin-star solutions consistent with current constraints, and ruling out the standard deconfinement scenario.
Contribution
It introduces a systematic, model-agnostic Bayesian framework to analyze twin-star solutions, considering explicit phase transitions and current astrophysical constraints.
Findings
Only two classes of twin stars remain viable under current constraints.
Standard deconfinement-based twin-star scenarios are ruled out.
Remaining solutions are disfavored and likely to be excluded with future data.
Abstract
We perform a model-agnostic Bayesian analysis of the neutron-star-matter equation of state (EoS), using known ab-initio constraints and astrophysical observations to limit its behavior at intermediate densities. Permitting explicit first-order phase transitions allows us to systematically search for twin-star solutions, i.e. the existence of stars degenerate in mass but differing in radius. We find that current observational constraints exclude all but two classes of twin stars. The first is characterized by a first-order transition occurring at a very low density, where the material properties of the system either stay largely intact or move away from the conformal limit. In the second, more interesting class, the discontinuity in the mass-radius curve emerges after a rapid crossover transition at a significantly higher density, with the speed of sound exhibiting two sharp peaks at…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPulsars and Gravitational Waves Research · High-Energy Particle Collisions Research · Statistical Mechanics and Entropy
