{
  "abstract": "Geometric phase quantifies net locomotion in dissipative media via gauge theory, but linking this theoretical quantity to noisy, sparse, and weakly periodic biological shape data is challenging. We develop a theory-guided, data-driven Koopman autoencoder to recover the limit cycle embedded in imperfect cyclic data and extract shape gaits and geometric phase from sperm and nematode data. We introduce a geometric phase sensitivity function that quantifies responses to shape perturbations and reveals mechanical information using only gauge-theoretic structure, without assuming mechanical laws.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2606.22440",
  "author_total": 2,
  "authors": [
    {
      "name": "Pyae Hein Htet"
    },
    {
      "name": "Kenta Ishimoto"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0bd6k97v3rxze.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2606.22440",
  "fulltext_url": null,
  "id": "0bd6k97v3rxze",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2606.22440",
  "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",
      "cond-mat.soft"
    ],
    [
      "arxiv",
      "nlin.AO"
    ],
    [
      "arxiv",
      "physics.bio-ph"
    ],
    [
      "arxiv",
      "physics.data-an"
    ],
    [
      "arxiv",
      "q-bio.CB"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2606.22440",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-08",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/0bd6k97v3rxze.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:27:53Z",
      "native_id": "2606.22440",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2606.22440"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "arxiv:q-bio.CB",
      "subfield": "cell-biology"
    },
    {
      "field": "physics",
      "origin": "arxiv:physics.bio-ph",
      "subfield": "biological-medical"
    },
    {
      "field": "physics",
      "origin": "arxiv:physics.data-an",
      "subfield": "computational"
    },
    {
      "field": "physics",
      "origin": "arxiv:cond-mat.soft",
      "subfield": "condensed-matter"
    },
    {
      "field": "physics",
      "origin": "arxiv:nlin.AO",
      "subfield": "statistical-nonlinear"
    }
  ],
  "title": "Data-driven geometric phase in biological locomotion",
  "title_text": "Data-driven geometric phase in biological locomotion",
  "type": "preprint",
  "updated_at": "2026-10-30T12:27:59Z",
  "url": "https://research.draconitic.com/paper/0bd6k97v3rxze",
  "venue": "arXiv",
  "versions": [
    {
      "doi": "10.1103/qlj7-1kvn",
      "pid": "8xez9fbjfvkjy",
      "relation": "published-as",
      "title": "Data-driven geometric phase in biological locomotion",
      "venue": "Physical Review Research"
    }
  ]
}