Fractional exclusion statistics applied to relativistic nuclear matter
Dragos-Victor Anghel, A. S. Parvan, A. S. Khvorostukhin

TL;DR
This paper explores how fractional exclusion statistics influence the thermodynamics of relativistic nuclear matter under extreme conditions, revealing strong dependence on particle statistics at high densities and temperatures.
Contribution
It introduces a relativistic mean-field model incorporating fractional exclusion statistics to describe quasiparticles in nuclear matter, linking statistics to interaction strengths.
Findings
Thermodynamics strongly depends on particle statistics at high density and temperature.
Unstable thermodynamics arise when interaction strength is independent of particle statistics.
Model reproduces ground state properties of isospin-symmetric nuclear matter.
Abstract
The effect of statistics of the quasiparticles in the nuclear matter at extreme conditions of density and temperature is evaluated in the relativistic mean-field model generalized to the framework of the fractional exclusion statistics (FES). In the model, the nucleons are described as quasiparticles obeying FES and the model parameters were chosen to reproduce the ground state properties of the isospin-symmetric nuclear matter. In this case, the statistics of the quasiparticles is related to the strengths of the nucleon-nucleon interaction mediated by the neutral scalar and vector meson fields. The relevant thermodynamic quantities were calculated as functions of the nucleons density, temperature and fractional exclusion statistics parameter . It has been shown that at high temperatures and densities the thermodynamics of the system has a strong dependence on the statistics of…
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.
