{
  "annotation_id": "f9d0dbb5-2d55-4357-a717-ec552bc30a7f",
  "date_created": "2026-03-02T18:01:11.496000Z",
  "date_modified": "2026-03-02T18:01:11.496000Z",
  "file_hash": "06409b369359acb2a72da74c7715b4f4c6dd807ba06007855b99b96746e52839",
  "private": false,
  "record": {
    "abstract": "A Bayesian analysis of the probability of a signal in the presence of\nbackground is developed, and criteria are proposed for claiming evidence for,\nor the discovery of a signal. The method is general and in particular\napplicable to sparsely populated spectra. Monte Carlo techniques to evaluate\nthe sensitivity of an experiment are described. As an example, the method is\nused to calculate the sensitivity of the GERDA experiment to neutrinoless\ndouble beta decay.",
    "arxiv_id": "physics/0608249",
    "authors": [
      "Allen Caldwell",
      "Kevin Kr\u00f6ninger"
    ],
    "categories": [
      "physics.data-an"
    ],
    "doi": "10.1103/PhysRevD.74.092003",
    "journal_ref": "Phys.Rev.D74:092003,2006",
    "title": "Signal discovery in sparse spectra: a Bayesian analysis",
    "url": "https://arxiv.org/abs/physics/0608249"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "0ad81965-6287-48af-9dfe-802a843c1b9a",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}