{
  "annotation_id": "ce9b94f3-d24a-4e92-b107-e71af0176b37",
  "date_created": "2026-03-02T18:00:22.194000Z",
  "date_modified": "2026-03-02T18:00:22.194000Z",
  "file_hash": "a834f385d005ac40f4965a0be91f4b7156fb6091eff161a76dd03c22dd113b5e",
  "private": false,
  "record": {
    "abstract": "The information entropy of a nuclear density distribution is calculated for a\nnumber of nuclei. Various phenomenological models for the density distribution\nusing different geometry are employed. Nuclear densities calculated within\nvarious microscopic mean field approaches are also employed. It turns out that\nthe entropy increases on going from crude phenomenological models to more\nsophisticated (microscopic) ones. It is concluded that the larger the\ninformation entropy, the better the quality of the nuclear density\ndistribution. An alternative approach is also examined: the net information\ncontent i.e. the sum of information entropies in position and momentum space\n$S_{r}+S_{k}$. It is indicated that $S_{r}+S_{k}$ is a maximum, when the best\nfit to experimental data of the density and momentum distributions is attained.",
    "arxiv_id": "nucl-th/9711058",
    "authors": [
      "G. A. Lalazissis",
      "S. E. Massen",
      "C. P. Panos",
      "S. S. Dimitrova"
    ],
    "categories": [
      "nucl-th",
      "quant-ph"
    ],
    "doi": "10.1142/S0218301398000257",
    "journal_ref": "Int.J.Mod.Phys. E7 (1998) 485-494",
    "title": "Information entropy as a measure of the quality of a nuclear density   distribution",
    "url": "https://arxiv.org/abs/nucl-th/9711058"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "4f191475-1def-4747-a6b1-9ad0eb077416",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}