{
  "id": "2311.07144",
  "version": "v1",
  "published": "2023-11-13T08:20:30.000Z",
  "updated": "2023-11-13T08:20:30.000Z",
  "title": "Nuclear physics inputs for dense-matter modelling in neutron stars. The nuclear equation of state",
  "authors": [
    "A. F. Fantina",
    "F. Gulminelli"
  ],
  "comment": "6 pages, 4 figures. Contribution to the proceedings of the 28th International Nuclear Physics Conference (INPC 2022)",
  "journal": "J. Phys.: Conf. Ser. 2586, 012112 (2023)",
  "doi": "10.1088/1742-6596/2586/1/012112",
  "categories": [
    "astro-ph.HE",
    "nucl-th"
  ],
  "abstract": "In this contribution, we briefly present the equation-of-state modelling for application to neutron stars and discuss current constraints coming from nuclear physics theory and experiments. To assess the impact of model uncertainties, we employ a nucleonic meta-modelling approach and perform a Bayesian analysis to generate posterior distributions for the equation of state with filters accounting for both our present low-density nuclear physics knowledge and high-density neutron-star physics constraints. The global structure of neutron stars thus predicted is discussed in connection with recent astrophysical observations.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2023-11-13T08:20:30.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "nuclear physics inputs",
      "neutron stars",
      "nuclear equation",
      "dense-matter modelling",
      "low-density nuclear physics knowledge"
    ],
    "tags": [
      "conference paper",
      "journal article"
    ],
    "publication": {
      "publisher": "IOP"
    },
    "note": {
      "typesetting": "TeX",
      "pages": 6,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}