{
  "annotation_id": "ac5e8111-b804-41c6-bb57-3d6ab0206c19",
  "date_created": "2026-03-02T18:00:39.052000Z",
  "date_modified": "2026-03-02T18:00:39.052000Z",
  "file_hash": "fd60fff6b49441ba8425125c8b93b5b5720cd6b7a706b6b8800c727d9da1ff5e",
  "private": false,
  "record": {
    "abstract": "We present a method for the decomposition of mass spectra of mixture gases\nusing Bayesian probability theory. The method works without any calibration\nmeasurement and therefore applies also to the analysis of spectra containing\nunstable species. For the example of mixtures of three different hydrocarbon\ngases the algorithm provides concentrations and cracking coefficients of each\nmixture component as well as their confidence intervals. The amount of\ninformation needed to obtain reliable results and its relation to the accuracy\nof our analysis are discussed.",
    "arxiv_id": "physics/0205004",
    "authors": [
      "H. D. Kang",
      "R. Preuss",
      "T. Schwarz-Selinger",
      "V. Dose"
    ],
    "categories": [
      "physics.data-an"
    ],
    "title": "Decomposition of multicomponent mass spectra using Bayesian probability   theory",
    "url": "https://arxiv.org/abs/physics/0205004"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "17ae6454-cfe5-402d-b92b-9a7c73f89d9a",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}