Volume 5, issue 1

Volume 5, issue 1

11 Jan 2023
Examination of the accuracy of SHRIMP U–Pb geochronology based on samples dated by both SHRIMP and CA-TIMS
Charles W. Magee Jr., Simon Bodorkos, Christopher J. Lewis, James L. Crowley, Corey J. Wall, and Richard M. Friedman
Geochronology, 5, 1–19, https://doi.org/10.5194/gchron-5-1-2023,https://doi.org/10.5194/gchron-5-1-2023, 2023
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13 Jan 2023
Technical note: A software framework for calculating compositionally dependent in situ 14C production rates
Alexandria J. Koester and Nathaniel A. Lifton
Geochronology, 5, 21–33, https://doi.org/10.5194/gchron-5-21-2023,https://doi.org/10.5194/gchron-5-21-2023, 2023
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16 Jan 2023
Short communication: age2exhume – a MATLAB/Python script to calculate steady-state vertical exhumation rates from thermochronometric ages and application to the Himalaya
Peter van der Beek and Taylor F. Schildgen
Geochronology, 5, 35–49, https://doi.org/10.5194/gchron-5-35-2023,https://doi.org/10.5194/gchron-5-35-2023, 2023
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02 Feb 2023
Potential impacts of chemical weathering on feldspar luminescence dating properties
Melanie Bartz, Jasquelin Peña, Stéphanie Grand, and Georgina E. King
Geochronology, 5, 51–64, https://doi.org/10.5194/gchron-5-51-2023,https://doi.org/10.5194/gchron-5-51-2023, 2023
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03 Feb 2023
Bayesian age–depth modelling applied to varve and radiometric dating to optimize the transfer of an existing high-resolution chronology to a new composite sediment profile from Holzmaar (West Eifel Volcanic Field, Germany)
Stella Birlo, Wojciech Tylmann, and Bernd Zolitschka
Geochronology, 5, 65–90, https://doi.org/10.5194/gchron-5-65-2023,https://doi.org/10.5194/gchron-5-65-2023, 2023
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07 Feb 2023
Calculation of uncertainty in the (U–Th) ∕ He system
Peter E. Martin, James R. Metcalf, and Rebecca M. Flowers
Geochronology, 5, 91–107, https://doi.org/10.5194/gchron-5-91-2023,https://doi.org/10.5194/gchron-5-91-2023, 2023
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10 Mar 2023
Technical note: colab_zirc_dims: a Google Colab-compatible toolset for automated and semi-automated measurement of mineral grains in laser ablation–inductively coupled plasma–mass spectrometry images using deep learning models
Michael C. Sitar and Ryan J. Leary
Geochronology, 5, 109–126, https://doi.org/10.5194/gchron-5-109-2023,https://doi.org/10.5194/gchron-5-109-2023, 2023
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