{
  "annotation_id": "05c6bd9d-2da7-48f5-a3e8-c85dae9894c0",
  "date_created": "2026-03-02T18:01:24.587000Z",
  "date_modified": "2026-03-02T18:01:24.587000Z",
  "file_hash": "978d23b9075d33a90f87850ae5ea4608fda3e939ec224e04e298e867a8e2eb3b",
  "private": false,
  "record": {
    "abstract": "I show how to construct Monte Carlo algorithms (programs), prove that they\nare correct and document them. Complicated algorithms are build using a handful\nof elementary methods. This construction process is transparently illustrated\nusing graphical representation in which complicated graphs consist of only\nseveral elementary building blocks. In particular I discuss the equivalent\nalgorithms, that is different MC algorithms, with different arrangements of the\nelementary building blocks, which generate the same final probability\ndistribution. I also show how to transform a given MC algorithm into another\nequivalent one and discuss advantages of the various ``architectures\u0027\u0027.",
    "arxiv_id": "physics/9906056",
    "authors": [
      "S. Jadach"
    ],
    "categories": [
      "physics.comp-ph",
      "astro-ph",
      "hep-ph",
      "physics.data-an"
    ],
    "title": "Practical Guide to Monte Carlo",
    "url": "https://arxiv.org/abs/physics/9906056"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "c122d06c-78c9-4f9e-aaa4-1668dc4ab17a",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}