{
  "abstract": "Accurate characterization of ion beams from sub-MeV to multi-MeV energies is essential for diagnostics in laser-driven ion acceleration and fusion research. CR-39 detectors are widely used to measure absolute ion yields, while ion energy and incidence angle can be inferred from etched-pit geometries. In this study, we present an automated CR-39 pit detection method that enables reliable extraction of pit geometries from two-dimensional optical micrographs, with improved discrimination of overlapping pits under high-flux conditions. This capability enables reliable analysis in high-density regimes where conventional methods are limited by significant track overlap. By integrating the detected pit shapes with a pit-formation model based on Monte Carlo simulations of restricted energy loss, energy and angular characterization of laser-driven proton beams is achieved with enhanced precision and computational efficiency. The proposed framework provides a robust and scalable approach for automated CR-39 analysis and is applicable to a broad range of ion-beam diagnostics and spectroscopy.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "Journal reference: AIP Advances 16, 075051 (2026)",
  "arxiv": "2610.38089",
  "author_total": 13,
  "authors": [
    {
      "name": "Wei Lin"
    },
    {
      "name": "Tzu-Yao Huang"
    },
    {
      "name": "Shih-Fan Yang"
    },
    {
      "name": "Shih-Wei Wang"
    },
    {
      "name": "Wu-Cheng Chiang"
    },
    {
      "name": "Kuo-Yu Hsiao"
    },
    {
      "name": "Chun-Han Chen"
    },
    {
      "name": "Yan-Syu Liu"
    },
    {
      "name": "Jun-Yi Chen"
    },
    {
      "name": "Ya-Po Yang"
    },
    {
      "name": "Chen-Kang Huang"
    },
    {
      "name": "Hsu-hsin Chu"
    },
    {
      "name": "Chih-Hao Pai"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/de1s4ypzp9vs9.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.38089",
  "fulltext_url": null,
  "id": "de1s4ypzp9vs9",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.38089",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "physics.ins-det"
    ],
    [
      "arxiv",
      "physics.plasm-ph"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2610.38089",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-28",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/de1s4ypzp9vs9.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:36:23Z",
      "native_id": "2610.38089",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.38089"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.ins-det",
      "subfield": "applied-instrumentation"
    },
    {
      "field": "physics",
      "origin": "arxiv:physics.plasm-ph",
      "subfield": "plasma"
    }
  ],
  "title": "Automated CR-39 pit detection for energy and angular characterization of laser-driven ion beams",
  "title_text": "Automated CR-39 pit detection for energy and angular characterization of laser-driven ion beams",
  "type": "preprint",
  "updated_at": "2026-11-01T12:20:44Z",
  "url": "https://research.draconitic.com/paper/de1s4ypzp9vs9",
  "venue": "arXiv",
  "versions": [
    {
      "doi": "10.1063/5.0338529",
      "pid": null,
      "relation": "published-as",
      "title": null,
      "venue": null
    }
  ]
}