Preprints
https://doi.org/10.5194/egusphere-2025-5474
https://doi.org/10.5194/egusphere-2025-5474
18 Nov 2025
 | 18 Nov 2025
Status: this preprint is open for discussion and under review for Geochronology (GChron).

OSLThermo and ESRThermo: Libraries of codes for trapped-charge thermochronometry

Chloé Bouscary, Georgina E. King, Melanie Kranz-Bartz, Maxime Bernard, Rabiul H. Biswas, Lily Bossin, Arnaud Duverger, Benny Guralnik, Frédéric Herman, Ugo Nanni, Nadja Stalder, Pierre G. Valla, Vjeran Visnjevic, and Xiaoxia Wen

Abstract. Over the past fifteen years, trapped-charge (T-C) thermochronometry has been established as an ultra-low temperature (<80 °C) thermochronometric system. Its novelty is its ability to resolve rock cooling within the final few km of Earth's surface, as well as rock-surface temperature changes since the Last Glacial Maximum to the present day. Deriving temperature histories from the luminescence signals of feldspar minerals, or the electron spin resonance signals of quartz minerals, requires the modelling of both signal accumulation and signal loss in response to mineral exposure to ionizing radiation and temperature, as well as athermal signal losses for feldspar minerals. Two open-source libraries have been developed in MATLAB that allow different numerical models to be used for this purpose; the first is applicable to the infra-red stimulated luminescence (IRSL) of feldspar minerals (OSLThermo) and the second to the electron spin resonance (ESR) signal of quartz minerals (ESRThermo). These libraries have been made available in GITHUB and this contribution describes their broad structure, the T-C models that have been implemented and their practical use.

Codes are available for download on GitHub: https://github.com/GeorginaKing/OSLThermo for luminescence thermochronometry & https://github.com/GeorginaKing/ESRThermo for ESR thermochronometry.

Competing interests: One of the co-author is part of GChron editorial board.

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Chloé Bouscary, Georgina E. King, Melanie Kranz-Bartz, Maxime Bernard, Rabiul H. Biswas, Lily Bossin, Arnaud Duverger, Benny Guralnik, Frédéric Herman, Ugo Nanni, Nadja Stalder, Pierre G. Valla, Vjeran Visnjevic, and Xiaoxia Wen

Status: open (until 30 Dec 2025)

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Chloé Bouscary, Georgina E. King, Melanie Kranz-Bartz, Maxime Bernard, Rabiul H. Biswas, Lily Bossin, Arnaud Duverger, Benny Guralnik, Frédéric Herman, Ugo Nanni, Nadja Stalder, Pierre G. Valla, Vjeran Visnjevic, and Xiaoxia Wen

Model code and software

OSLThermo library Chloé Bouscary and Georgina E. King https://github.com/GeorginaKing/OSLThermo

ESRThermo library Chloé Bouscary and Georgina E. King https://github.com/GeorginaKing/ESRThermo

Chloé Bouscary, Georgina E. King, Melanie Kranz-Bartz, Maxime Bernard, Rabiul H. Biswas, Lily Bossin, Arnaud Duverger, Benny Guralnik, Frédéric Herman, Ugo Nanni, Nadja Stalder, Pierre G. Valla, Vjeran Visnjevic, and Xiaoxia Wen
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Latest update: 18 Nov 2025
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Short summary
The OSLThermo and ESRThermo MATLAB libraries simulate how luminescence signals in feldspar and electron spin resonance signals in quartz minerals accumulate and fade over time, enabling reconstruction of recent rock cooling and surface temperature changes. By sharing these tools openly, we hope to promote collaboration, reproducibility, and broader use and development of these ultra-low-temperature thermochronology methods.
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