{
  "annotation_id": "41ce41d2-f2ce-4574-b0d3-cc3cf1152778",
  "date_created": "2026-03-02T18:00:43.530000Z",
  "date_modified": "2026-03-02T18:00:43.530000Z",
  "file_hash": "b6024c1e1e4b78696b2b6740c591be4b4b7ad3762eb9d528db90a1fd4dcb04a0",
  "private": false,
  "record": {
    "abstract": "Detailed detector simulation and reconstruction of physics objects at the LHC\nare very CPU intensive and hence time consuming due to the high energy and\nmultiplicity of the Monte-Carlo events and the complexity of the detectors. We\npresent a dynamically configurable system for fast Monte-Carlo simulation and\nreconstruction (FAMOS) that has been developed for CMS to allow fast studies of\nlarge samples of Monte-Carlo events. Each single step of the chain -\nsimulation, digitization and reconstruction, as well as combinations of chain\nlinks can be replaced by modules that sacrifice precision for speed. Fast and\ndetailed modules have identical interfaces so that a change is fully\ntransparent for the user.\n  Currently, a complete set of the fastest possible implementation, i.e. going\ndirectly from the Monte-Carlo truth to reconstructed objects, has been\nimplemented. It is about hundred to thousand times faster than the fully\ndetailed simulation/reconstruction and provides tracks reconstructed by the\ninner tracker, clusters in calorimeters and trigger-Lvl1 objects and tracks\nreconstructed for the muon system of the CMS detector.",
    "arxiv_id": "physics/0306052",
    "authors": [
      "Stephan Wynhoff"
    ],
    "categories": [
      "physics.comp-ph"
    ],
    "title": "FAMOS: A Dynamically Configurable System for Fast Simulation and   Reconstruction for CMS",
    "url": "https://arxiv.org/abs/physics/0306052"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "5b64aab0-933b-481e-9fd0-b11e33933623",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}