{
  "annotation_id": "ad300f7d-0e62-4d67-ab62-df53e8583c88",
  "date_created": "2026-03-02T18:01:07.198000Z",
  "date_modified": "2026-03-02T18:01:07.198000Z",
  "file_hash": "3be3e3c404ef3e88648e0dcab685bd70080bde27c2e67d385cabd8e10e5a1deb",
  "private": false,
  "record": {
    "abstract": "The possibility of strong biases in a multicomponent Maximum Likelihood fits\nwith component-dependent templates has been demonstrated in some toy problems.\nWe discuss here in detail a problem of practical interest, particle\nidentification based on time-of-flight or dE/dx information. We show that large\nbiases can occur in estimating particle fractions in a sample if differences\nbetween the momentum spectra of particles are ignored, and we present a more\nrobust fit technique, allowing bias-free estimation even when the particle\nspectra in the sample are unknown.",
    "arxiv_id": "physics/0605130",
    "authors": [
      "P. Catastini",
      "G. Punzi"
    ],
    "categories": [
      "physics.data-an"
    ],
    "doi": "10.1142/9781860948985_0014",
    "title": "Bias-Free Estimation in Multicomponent Maximum Likelihood Fits with   Component-Dependent Templates",
    "url": "https://arxiv.org/abs/physics/0605130"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "d5e84304-0414-4b27-810e-4d8a590dbfe4",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}