{
  "annotation_id": "a8fa3ea1-a91e-4f38-b03f-1be36587a2e7",
  "date_created": "2026-03-02T18:01:03.355000Z",
  "date_modified": "2026-03-02T18:01:03.355000Z",
  "file_hash": "f7afb1d82e7cdb70f67b061469c9aa531d33b5225865206f45f28c1b465401d6",
  "private": false,
  "record": {
    "abstract": "Expectation Maximization (EM) algorithm is a parameter estimation method from\nincomplete observations. In this paper, an implementation of this method to the\ncalibration of HKS spectrometer at Jefferson Lab is described. We show that the\napplication of EM method is able to calibrate the spectrometer properly in the\npresence of high background noise, while the traditional nonlinear Least Square\nmethod fail. The preliminary results of HKS spectrometer calibration is\npresented.",
    "arxiv_id": "physics/0512132",
    "authors": [
      "Lulin Yuan"
    ],
    "categories": [
      "physics.data-an",
      "physics.ins-det"
    ],
    "title": "Spectrometer Calibration by Expectation Maximization Method",
    "url": "https://arxiv.org/abs/physics/0512132"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "3f87cc09-f297-46cb-bfa9-91ee333578a0",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}