{
  "abstract": "Liquid scintillator detectors instrumented with photosensors inside the scintillation volume preserve local optical information that is largely lost in conventional boundary-readout geometries. We demonstrate that this information is sufficient for charged-particle topology reconstruction using a sparse three-dimensional lattice of silicon photomultipliers. After validating the Geant4 detector response against measured photon-count distributions, a simulation-trained, time-informed convolutional neural network reconstructs the entry and exit points of through-going muons with median residuals of 1.91~cm and 2.39~cm, respectively. The reconstructed endpoints are geometrically consistent with acceptance regions defined by external trigger counters in cosmic-ray muon data. The same framework also reconstructs the production vertices of simulated positron starting-track events with a median residual of about 4.5~cm. These results establish the feasibility of topology-sensitive reconstruction using sparse in-liquid photosensor arrays in homogeneous liquid scintillator detectors.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.25532",
  "author_total": 11,
  "authors": [
    {
      "name": "H. Kimku"
    },
    {
      "name": "J. S. Chung"
    },
    {
      "name": "C. Ha"
    },
    {
      "name": "T. Z. Huang"
    },
    {
      "name": "J. Kim"
    },
    {
      "name": "S. Kim"
    },
    {
      "name": "B. C. Koh"
    },
    {
      "name": "M. S. Kwak"
    },
    {
      "name": "S. Lee"
    },
    {
      "name": "Y. J. Lee"
    },
    {
      "name": "J. Seo"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9wyw1bs9wt83m.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.25532",
  "fulltext_url": null,
  "id": "9wyw1bs9wt83m",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.25532",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "hep-ex"
    ],
    [
      "arxiv",
      "physics.ins-det"
    ],
    [
      "openalex",
      "3108|Radiation Detection and Scintillator Technologies"
    ]
  ],
  "openalex": "W7214246179",
  "pdf_url": "https://arxiv.org/pdf/2609.25532",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-24",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/9wyw1bs9wt83m.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:24:11Z",
      "native_id": "2609.25532",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.25532"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.ins-det",
      "subfield": "applied-instrumentation"
    },
    {
      "field": "physics",
      "origin": "arxiv:hep-ex",
      "subfield": "high-energy"
    }
  ],
  "title": "Charged-particle topology reconstruction with an in-liquid SiPM array",
  "title_text": "Charged-particle topology reconstruction with an in-liquid SiPM array",
  "type": "preprint",
  "updated_at": "2026-10-30T12:24:11Z",
  "url": "https://research.draconitic.com/paper/9wyw1bs9wt83m",
  "venue": "arXiv",
  "versions": []
}