{
  "annotation_id": "849fd9c5-3484-4561-bcb8-9fec17ada77f",
  "date_created": "2026-03-02T18:00:36.386000Z",
  "date_modified": "2026-03-02T18:00:36.386000Z",
  "file_hash": "65418e5a9d9e4931d837323833de34135bdfa3993dc8219224f7ed3525612ccf",
  "private": false,
  "record": {
    "abstract": "This letter reports on a new method of analysing experimentally gained time\nseries with respect to different types of noise involved, namely, we show that\nit is possible to differentiate between dynamical and measurement noise. This\nmethod does not depend on previous knowledge of model equations. For the\ncomplicated case of a chaotic dynamics spoiled at the same time by dynamical\nand measurement noise, we even show how to extract from data the magnitude of\nboth types of noise. As a further result, we present a new criterion to verify\nthe correct embedding for chaotic dynamics with dynamical noise.",
    "arxiv_id": "physics/0108034",
    "authors": [
      "M. Siefert",
      "J. Peinke",
      "R. Friedrich"
    ],
    "categories": [
      "physics.data-an"
    ],
    "doi": "10.1209/epl/i2003-00152-9",
    "journal_ref": "Europhys. Lett. 61 (2003) p. 466",
    "title": "On a quantitative method to analyse dynamical and measurement noise",
    "url": "https://arxiv.org/abs/physics/0108034"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "720a8bfa-c67f-4c20-bc2c-169b5eebe145",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}