{
  "annotation_id": "f5daf097-d39a-4d4e-a25d-a015e693fba6",
  "date_created": "2026-03-02T18:00:45.960000Z",
  "date_modified": "2026-03-02T18:00:45.960000Z",
  "file_hash": "e34e63db4ff24354be1366d356d717515542b009fb7232b8b9deaa00970b4bf3",
  "private": false,
  "record": {
    "abstract": "We discuss the conditions under which Scan Statistics can be fruitfully\nimplemented to signal a departure from the underlying probability model that\ndescribes the experimental data. It is shown that local perturbations\n(``bumps\u0027\u0027 or ``excesses\u0027\u0027 of events) are better dealt within this framework\nand, in general, tests based on these statistics provide a powerful and\nunbiased alternative to the traditional techniques related with the chi2 and\nKolmogorov distributions. Approximate formulas for the computation of Scan\nStatistics in the range of interest for high energy and nuclear physics\napplications are also presented.",
    "arxiv_id": "physics/0311020",
    "authors": [
      "F. Terranova"
    ],
    "categories": [
      "physics.data-an",
      "hep-ex"
    ],
    "doi": "10.1016/j.nima.2003.10.091",
    "journal_ref": "Nucl.Instrum.Meth.A519:659-666,2004",
    "title": "Peak finding through Scan Statistics",
    "url": "https://arxiv.org/abs/physics/0311020"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "071d1589-9c3b-4a97-a275-a66d1d8091b5",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}