{
  "annotation_id": "5b3d3132-744e-44a9-9c5d-ed49b34ae305",
  "date_created": "2026-03-02T18:00:42.680000Z",
  "date_modified": "2026-03-02T18:00:42.680000Z",
  "file_hash": "828ac14f63293d04b205ad917800b2a4502e629593bfb8fd57a6f758d4930408",
  "private": false,
  "record": {
    "abstract": "The probability density function of Kerr effect phase noise, often called the\nGordon-Mollenauer effect, is derived analytically. The Kerr effect phase noise\ncan be accurately modeled as the summation of a Gaussian random variable and a\nnoncentral chi-square random variable with two degrees of freedom. Using the\nreceived intensity to correct for the phase noise, the residual Kerr effect\nphase noise can be modeled as the summation of a Gaussian random variable and\nthe difference of two noncentral chi-square random variables with two degrees\nof freedom. The residual phase noise can be approximated by Gaussian\ndistribution better than the Kerr effect phase noise without correction.",
    "arxiv_id": "physics/0301018",
    "authors": [
      "Keang-Po Ho"
    ],
    "categories": [
      "physics.optics"
    ],
    "journal_ref": "JOSA B, vol. 20, pp. 1875-1879, 2003",
    "title": "Probability Density Function of Kerr Effect Phase Noise",
    "url": "https://arxiv.org/abs/physics/0301018"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "29fe3e56-4f93-4911-a840-106024397638",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}