{
  "abstract": "We present a new algorithm for constructing floating astronomical timescales with explicit uncertainty estimates from sedimentary sequences. The method integrates probabilistic spectral analysis with inverse geochronological modelling, applied to ultra-high-resolution, multi-proxy datasets such as core scanning X-Ray Fluorescence (XRF) elemental records. Our framework does not smooth data or impose layer-to-layer dependency, allowing sedimentation rates to vary abruptly at short stratigraphic length scales. By detecting and statistically constraining Milankovitch cycles preserved in stratigraphic signals, the algorithm seeks a floating age-depth model that reconstructs geological time and can be anchored to deliver absolute age assignment, when astronomical tie points and/or radioisotopic ages are available. The resulting timescales enable precise, uncertainty-bounded timing of biostratigraphic zones, geochemical events, and depositional cycles. This approach advances astrochronology by combining cycle detection with formal stratigraphic modelling, while preserving fine-scale depositional variability, offering a reproducible and statistically rigorous framework for dating deep-time records.",
  "abstract_shown": true,
  "affiliations": [
    "University of Copenhagen (Copenhagen, Denmark)"
  ],
  "article_type": null,
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  "author_total": 6,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Iris Fernandes",
      "orcid": "0000-0001-6918-1151"
    },
    {
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      ],
      "name": "Klaus Mosegaard"
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    {
      "name": "Aske L. Sørensen"
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    {
      "name": "Mohammad Youssof"
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    {
      "name": "Nicolas Thibault",
      "orcid": "0000-0003-4147-5531"
    },
    {
      "name": "Tais W. Dahl",
      "orcid": "0000-0003-4629-8036"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/77z6a41hf0b81.bib",
  "cited_by": 0,
  "doi": "10.5194/gmd-19-10143-2026",
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  "id": "77z6a41hf0b81",
  "issns": [
    "1991-9603",
    "1991-959X"
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  "landing_url": "https://gmd.copernicus.org/articles/19/10143/2026/",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
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      "lcc",
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    ],
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      "openalex",
      "1902|Geology and Paleoclimatology Research"
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  "openalex": "W7131071695",
  "pdf_url": "https://gmd.copernicus.org/articles/19/10143/2026/gmd-19-10143-2026.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-26",
  "publisher": "Copernicus GmbH",
  "ris": "https://research.draconitic.com/paper/77z6a41hf0b81.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:49Z",
      "native_id": "10.5194/gmd-19-10143-2026",
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    {
      "first_seen": "2026-10-30T13:47:27Z",
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      "url": "https://doi.org/10.5194/gmd-19-10143-2026"
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  "subjects": [
    {
      "field": "earth",
      "origin": "openalex:1902|Geology and Paleoclimatology Research",
      "subfield": "atmospheric"
    }
  ],
  "title": "AstroComb(v.1.0): non-linear, multi-channel, probabilistic cyclostratigraphic analysis",
  "title_text": "AstroComb(v.1.0): non-linear, multi-channel, probabilistic cyclostratigraphic analysis",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:47:27Z",
  "url": "https://research.draconitic.com/paper/77z6a41hf0b81",
  "venue": "Geoscientific Model Development",
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      "doi": "10.5194/egusphere-2025-6145",
      "pid": null,
      "relation": "preprint",
      "title": null,
      "venue": null
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  ]
}