{
  "annotation_id": "7bdb2fa8-f442-4ccd-a7cf-d320baa4156e",
  "date_created": "2026-03-02T18:00:56.861000Z",
  "date_modified": "2026-03-02T18:00:56.861000Z",
  "file_hash": "b64cb17bca0924e181999e5e4b7d2ba63a83f2736689747a8a9133f80a889e3c",
  "private": false,
  "record": {
    "abstract": "We have devised a simple numerical technique to treat rugged data points that\narise due to the insufficient gain setting error (or quantization error) of a\ndigital instrument. This is a very wide spread problem that all\nexperimentalists encounter some time or the other and they are forced to deal\nwith it by suitable adjustments of instrument gains and other relevant\nparameters. But mostly this entails one to repeat the experiment,this may be\ninconvenient at the least. Here we prescribe a method that would actually\nattempt to smoothen the data set that is already so obtained. Our method is\nbased on an entirely different algorithm that is not available anywhere else.\nThis method mimics what one would do by intuitive visual inspection and not\nlike the arcane digital filtering, spline fitting etc. that is available in the\nmarket. Nor does it depend on any instrumental parameter tweaking. This makes\nthe program totally general purpose and also intellectually more satisfying.",
    "arxiv_id": "physics/0501010",
    "authors": [
      "Ayan Paul",
      "P. K. Mukhopadhyay"
    ],
    "categories": [
      "physics.data-an",
      "physics.comp-ph"
    ],
    "title": "A New Algorithm to Smooth Quantization Errors",
    "url": "https://arxiv.org/abs/physics/0501010"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "bd471190-674a-4117-82c9-50d339909b34",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}