Technical note: Disentangling pre- and post-depositional thermal histories in partially reset samples

Abstract. Interpreting thermochronological data of a partially reset detrital sample is challenging because its age distribution reflects a mixture of each grain’s individual pre-depositional and the shared post-depositional thermal history. A promising approach to meet this challenge is combined geo- and thermochronological dating on the same grains. We present an algorithm for disentangling the pre- and post-depositional thermal histories using data from zircon U/Pb-(U-Th)/He double-dating. It proceeds in three steps: (1) determining candidate post-depositional temperature-time paths by inverse thermal-history modeling of syn-depositional grains. (2) Calculating pre-depositional (U-Th)/He model ages for each candidate thermal history. (3) Evaluating the likelihood for each post-depositional history by testing if resulting pre-depositional model ages against the U-Pb crystallization ages of each grain and the timing of sediment deposition. We illustrate this strategy by applying it to a Devonian sandstone from the Northern Canadian Cordillera. The results show the general agreement of the modeled thermal histories and pre-depositional (U-Th)/He ages with existing thermochronological data. The temperature-time paths are also consistent with additional zircon-Raman thermochronological data from the same grains. We discuss the limitations of our approach imposed by the need for syn-depositional grains, its application to other thermochronometers, and how targeting rather than avoiding partially reset samples enhances our capability to extract thermal-history information from the detrital record.

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Publication Details

Journal
Geochronology
Published
2026-08-27
DOI
https://doi.org/10.5194/gchron-8-475-2026
Primary Topic
Geological and Geochemical Analysis
Type
article
Field-Weighted Citation Impact
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article

Technical note: Disentangling pre- and post-depositional thermal histories in partially reset samples

Birk Härtel, Akeek Maitra, Eva Enkelmann
Geochronology
Geological and Geochemical Analysis
article

Technical note: Disentangling pre- and post-depositional thermal histories in partially reset samples

Birk Härtel, Akeek Maitra, Eva Enkelmann
article en

Abstract

Abstract. Interpreting thermochronological data of a partially reset detrital sample is challenging because its age distribution reflects a mixture of each grain’s individual pre-depositional and the shared post-depositional thermal history. A promising approach to meet this challenge is combined geo- and thermochronological dating on the same grains. We present an algorithm for disentangling the pre- and post-depositional thermal histories using data from zircon U/Pb-(U-Th)/He double-dating. It proceeds in three steps: (1) determining candidate post-depositional temperature-time paths by inverse thermal-history modeling of syn-depositional grains. (2) Calculating pre-depositional (U-Th)/He model ages for each candidate thermal history. (3) Evaluating the likelihood for each post-depositional history by testing if resulting pre-depositional model ages against the U-Pb crystallization ages of each grain and the timing of sediment deposition. We illustrate this strategy by applying it to a Devonian sandstone from the Northern Canadian Cordillera. The results show the general agreement of the modeled thermal histories and pre-depositional (U-Th)/He ages with existing thermochronological data. The temperature-time paths are also consistent with additional zircon-Raman thermochronological data from the same grains. We discuss the limitations of our approach imposed by the need for syn-depositional grains, its application to other thermochronometers, and how targeting rather than avoiding partially reset samples enhances our capability to extract thermal-history information from the detrital record.

GeochronologyVol. 8(3)
University of Calgary (CA)
Deutsche Forschungsgemeinschaft, Goddard Space Flight Center, American Chemical Society Petroleum Research Fund, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 51%
Geological and Geochemical Analysis
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