{
  "annotation_id": "413c5a1c-a757-4178-a9a4-8fbdb58c7220",
  "date_created": "2026-03-02T18:01:00.401000Z",
  "date_modified": "2026-03-02T18:01:00.401000Z",
  "file_hash": "3604e16449fcfe9607f0c0afdac078f0d0af10f84eacecb7ddd7e12cd69ddb56",
  "private": false,
  "record": {
    "abstract": "We propose a new test statistic based on a score process for determining the\nstatistical significance of a putative signal that may be a small perturbation\nto a noisy experimental background. We derive the reference distribution for\nthis score test statistic; it has an elegant geometrical interpretation as well\nas broad applicability. We illustrate the technique in the context of a model\nproblem from high-energy particle physics. Monte Carlo experimental results\nconfirm that the score test results in a significantly improved rate of signal\ndetection.",
    "arxiv_id": "physics/0505200",
    "authors": [
      "Ramani S. Pilla",
      "Catherine Loader",
      "Cyrus Taylor"
    ],
    "categories": [
      "physics.data-an",
      "astro-ph",
      "hep-ex"
    ],
    "doi": "10.1103/PhysRevLett.95.230202",
    "journal_ref": "Phys.Rev.Lett. 95 (2005) 230202",
    "title": "A New Technique for Finding Needles in Haystacks: A Geometric Approach   to Distinguishing Between a New Source and Random Fluctuations",
    "url": "https://arxiv.org/abs/physics/0505200"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "5cc51266-ad38-4d7e-a7e0-bd7d969079b1",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}