AstroComb(v.1.0): non-linear, multi-channel, probabilistic cyclostratigraphic analysis
- 1University of Copenhagen (Copenhagen, Denmark)
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.
Versions
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BibTeX
@article{fernandes2026astrocombv10,
title = {{AstroComb(v.1.0): non-linear, multi-channel, probabilistic cyclostratigraphic analysis}},
author = {Iris Fernandes and Klaus Mosegaard and Aske L. Sørensen and Mohammad Youssof and Nicolas Thibault and Tais W. Dahl},
journal = {Geoscientific Model Development},
year = {2026},
month = oct,
doi = {10.5194/gmd-19-10143-2026},
url = {https://gmd.copernicus.org/articles/19/10143/2026/},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - AstroComb(v.1.0): non-linear, multi-channel, probabilistic cyclostratigraphic analysis
AU - Iris Fernandes
AU - Klaus Mosegaard
AU - Aske L. Sørensen
AU - Mohammad Youssof
AU - Nicolas Thibault
AU - Tais W. Dahl
PY - 2026
DA - 2026/10/26
JO - Geoscientific Model Development
DO - 10.5194/gmd-19-10143-2026
UR - https://gmd.copernicus.org/articles/19/10143/2026/
AB - 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.
SN - 1991-9603
SN - 1991-959X
ER -