Articles | Volume 6, issue 1
https://doi.org/10.5194/gchron-6-107-2024
https://doi.org/10.5194/gchron-6-107-2024
Research article
 | 
27 Mar 2024
Research article |  | 27 Mar 2024

Bayesian integration of astrochronology and radioisotope geochronology

Robin B. Trayler, Stephen R. Meyers, Bradley B. Sageman, and Mark D. Schmitz

Data sets

robintrayler/astroBayes: astroBayes (v.1.0.0) Robin B. Trayler https://doi.org/10.5281/zenodo.8226540

robintrayler/astroBayes_manusctipt: astroBayes_manusctipt (v.1.0) Robin B. Trayler https://doi.org/10.5281/zenodo.10871097

Model code and software

robintrayler/astroBayes_manusctipt: astroBayes_manusctipt (v.1.0) Robin B. Trayler https://doi.org/10.5281/zenodo.10871097

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Short summary
Developing models that relate stratigraphic position to time are important because they allow the rock record to be understood in terms of absolute time, allowing global comparisons. We developed a novel method for developing these models (called age–depth models) that uses two different types of chronologic information, dated rocks, and records of variations in the Earth's orbit (astrochronology). The resulting models are very precise, which can improve understanding of past climates.