Repulsive properties of hadrons in lattice QCD data and neutron stars
Anton Motornenko, Somenath Pal, Abhijit Bhattacharyya, Jan, Steinheimer, and Horst Stoecker

TL;DR
This paper refines a hadronic model using lattice QCD data to better understand the properties of hadrons and neutron stars, highlighting the importance of short-range repulsive interactions and their impact on the phase structure and neutron star characteristics.
Contribution
The study introduces a modified CMF model with smaller excluded volumes for certain hadrons, improving agreement with lattice QCD data and enabling a consistent hadronic description of QCD susceptibilities at high temperatures.
Findings
Hyperons have smaller effective volumes than non-strange baryons.
The improved model aligns well with lattice QCD data for susceptibilities.
Neutron star properties remain consistent with observations, with hyperons surviving at high densities.
Abstract
Second-order susceptibilities of baryon, electric, and strangeness, , , and , charges, are calculated in the Chiral Mean Field (CMF) model and compared to available lattice QCD data. The susceptibilities are sensitive to the short range repulsive interactions between different hadron species, especially to the hardcore repulsion of hyperons. Decreasing the hyperons size, as compared to the size of the non-strange baryons, does improve significantly the agreement of the CMF model results with the Lattice QCD data. The electric charge-dependent susceptibilities are sensitive to the short range repulsive volume of mesons. The comparison with lattice QCD data suggests that strange baryons, non-strange mesons and strange mesons have significantly smaller excluded volumes than non-strange baryons. The CMF model with these modified hadron volumes allows for a mainly…
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.
