{
  "abstract": "Reconstructing the direction of incoming neutrinos in the IceCube Neutrino Observatory is an important problem in astrophysics. The public IceCube--Neutrinos in Deep Ice Kaggle competition provided 140 million simulated events to benchmark reconstruction techniques. To address this challenge from a novel perspective we introduce neutrino fingerprints compact $72 \\times 72 \\times 3$ images in which each pixel represents a single detector, with pulse timing and charge statistics encoded as color channels. This representation transforms sparse, irregular pulse data into dense images suitable for convolutional processing. Our ResNet18 model achieves a mean angular error of $1.10$ rad, indicating that convolutional networks trained on fingerprints rival more complex architectures while offering an effective, interpretable baseline for IceCube event reconstruction.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2606.02788",
  "author_total": 3,
  "authors": [
    {
      "name": "Floriano Tori"
    },
    {
      "name": "Brecht F. Verbeken"
    },
    {
      "name": "Vincent Ginis"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/fh7p29sxyw13w.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2606.02788",
  "fulltext_url": null,
  "id": "fh7p29sxyw13w",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2606.02788",
  "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",
      "astro-ph.IM"
    ],
    [
      "arxiv",
      "cs.LG"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2606.02788",
  "pmcid": null,
  "pmid": null,
  "published": "2026-06-01",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/fh7p29sxyw13w.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:34:04Z",
      "native_id": "2606.02788",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2606.02788"
    }
  ],
  "subjects": [
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.IM",
      "subfield": "instrumentation-methods"
    }
  ],
  "title": "Neutrino Fingerprints: Image-Based Encodings of IceCube Events for CNN Direction Reconstruction",
  "title_text": "Neutrino Fingerprints: Image-Based Encodings of IceCube Events for CNN Direction Reconstruction",
  "type": "preprint",
  "updated_at": "2026-10-30T12:34:04Z",
  "url": "https://research.draconitic.com/paper/fh7p29sxyw13w",
  "venue": "arXiv",
  "versions": []
}