{
  "annotation_id": "d7cea878-a282-4a8a-8315-ef86b324cf5c",
  "date_created": "2026-03-02T18:00:22.300000Z",
  "date_modified": "2026-03-02T18:00:22.300000Z",
  "file_hash": "e3c0eb85ae9ee74c41a1aedd6220902d08d363d3e80b1be1e8ba568159480e9b",
  "private": false,
  "record": {
    "abstract": "Langevin equations are used to model many processes of physical interest,\nincluding low-energy nuclear collisions. In this paper we develop a general\nmethod for computing probabilities of very rare events (e.g. small fusion\ncross-sections) for processes described by Langevin dynamics. As we demonstrate\nwith numerical examples as well as an exactly solvable model, our method can\nconverge to the desired answer at a rate which is orders of magnitude faster\nthan that achieved with direct simulations of the process in question.",
    "arxiv_id": "nucl-th/9809075",
    "authors": [
      "O. Mazonka",
      "C. Jarzynski",
      "J. Blocki"
    ],
    "categories": [
      "nucl-th"
    ],
    "doi": "10.1016/S0375-9474(98)00478-3",
    "journal_ref": "Nucl.Phys. A641 (1998) 335-354; Erratum-ibid. A650 (1999) 499-500",
    "title": "Computing probabilities of very rare events for Langevin processes: a   new method based on importance sampling",
    "url": "https://arxiv.org/abs/nucl-th/9809075"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "cc183bc8-8eec-4328-a01f-128dd4132961",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}