{
  "annotation_id": "f62b7827-654d-4cdc-91d1-4544e8bd4eaf",
  "date_created": "2026-03-02T18:00:57.106000Z",
  "date_modified": "2026-03-02T18:00:57.106000Z",
  "file_hash": "9be28b4123373b266b2fd7133bbbbcbd75fd64a24210ae0f8da50e5be431ccd5",
  "private": false,
  "record": {
    "abstract": "We present a least squares method for estimating parameters from measurements\nof event yields in the presence of background and crossfeed. We adopt a unified\napproach to incorporating the statistical and systematic uncertainties on the\nexperimental measurements input to the fit. We demonstrate this method with a\nfit for absolute hadronic D meson branching fractions, measured in e+e- -\u003e\n\\psi(3770) -\u003e D\\bar D$ transitions.",
    "arxiv_id": "physics/0503050",
    "authors": [
      "Werner M. Sun"
    ],
    "categories": [
      "physics.data-an"
    ],
    "doi": "10.1016/j.nima.2005.10.030",
    "journal_ref": "Nucl.Instrum.Meth. A556 (2006) 325-330",
    "title": "Simultaneous Least Squares Treatment of Statistical and Systematic   Uncertainties",
    "url": "https://arxiv.org/abs/physics/0503050"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "32ca0a96-c61b-4bcb-a8be-ad92edc5a3af",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}