{
  "annotation_id": "ce5a86a9-1d50-4be2-8215-6a581e197a71",
  "date_created": "2026-03-02T18:00:50.365000Z",
  "date_modified": "2026-03-02T18:00:50.365000Z",
  "file_hash": "44528ec4ca6c36074b1c71ed6299c7731030d6cc4fc430b66109a6b855244166",
  "private": false,
  "record": {
    "abstract": "The paper advocates the use of a statistical tool dedicated to the\nexploration of data samples populated by several sources of events. This new\ntechnique, called sPlot, is able to unfold the contributions of the different\nsources to the distribution of a data sample in a given variable. The sPlot\ntool applies in the context of a Likelihood fit which is performed on the data\nsample to determine the yields of the various sources.",
    "arxiv_id": "physics/0402083",
    "authors": [
      "Muriel Pivk",
      "Francois R. Le Diberder"
    ],
    "categories": [
      "physics.data-an",
      "hep-ex"
    ],
    "doi": "10.1016/j.nima.2005.08.106",
    "journal_ref": "Nucl.Instrum.Meth.A555:356-369,2005",
    "title": "sPlot: a statistical tool to unfold data distributions",
    "url": "https://arxiv.org/abs/physics/0402083"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "0eaf4065-fdf9-43bd-9201-d8e7a157b54e",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}