{
  "annotation_id": "0cbe6a48-394e-4d64-8e7e-8ccc1b12d2d5",
  "date_created": "2026-03-02T18:00:57.291000Z",
  "date_modified": "2026-03-02T18:00:57.291000Z",
  "file_hash": "5bca20d9581c663fa1cc54fb9e9f1a291f73bf678c2ea58982bed2de7f19dc08",
  "private": false,
  "record": {
    "abstract": "Novel String Banana Template Method (SBTM) for track reconstruction in\ndifficult conditions is proposed and implemented for off-line analysis of\nrelativistic heavy ion collision events.\n  The main idea of the method is in use of features of ensembles of tracks\nselected by 3-fold coincidence. Two steps model of track is used: the first one\n- averaged over selected ensemble and the second - per event dependent.\n  It takes into account Multiple Scattering (MS) for this particular track.\nSBTM relies on use of stored templates generated by precise Monte Carlo\nsimulation, so it\u0027s more time efficient for the case of 2D spectrometer.\n  All data required for track reconstruction in such difficult conditions could\nbe prepared in convenient format for fast use. Its template based nature and\nthe fact that the SBTM track model is actually very close to the hits implies\nthat it can be implemented in a firmware processor. In this report a block\ndiagram of firmware based pre-processor for track reconstruction in CMS-like Si\ntracker is proposed.",
    "arxiv_id": "physics/0502068",
    "authors": [
      "P. Kulinich",
      "S. Basilev",
      "V. Krylov"
    ],
    "categories": [
      "physics.data-an"
    ],
    "title": "A novel String Banana Template Method for Tracks Reconstruction in High   Multiplicity Events with significant Multiple Scattering and its Firmware   Implementation",
    "url": "https://arxiv.org/abs/physics/0502068"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "b60bee88-df24-4595-87d7-78a392aae864",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}