Towards an improvement of optically stimulated luminescence (OSL) age uncertainties: modelling OSL ages with systematic errors, stratigraphic constraints and radiocarbon ages using the R package BayLum
<p>Statistical analysis has become increasingly important in optically stimulated luminescence (OSL) dating since it has become possible to measure signals at the single-grain scale. The accuracy of large chronological datasets can benefit from the inclusion, in chronological modelling, of str...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2021-04-01
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| Series: | Geochronology |
| Online Access: | https://gchron.copernicus.org/articles/3/229/2021/gchron-3-229-2021.pdf |
| _version_ | 1797229107432390656 |
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| author | G. Guérin G. Guérin C. Lahaye M. Heydari M. Autzen M. Autzen J.-P. Buylaert J.-P. Buylaert P. Guibert M. Jain S. Kreutzer S. Kreutzer B. Lebrun A. S. Murray K. J. Thomsen P. Urbanova A. Philippe |
| author_facet | G. Guérin G. Guérin C. Lahaye M. Heydari M. Autzen M. Autzen J.-P. Buylaert J.-P. Buylaert P. Guibert M. Jain S. Kreutzer S. Kreutzer B. Lebrun A. S. Murray K. J. Thomsen P. Urbanova A. Philippe |
| author_sort | G. Guérin |
| collection | DOAJ |
| description | <p>Statistical analysis has become increasingly important in optically
stimulated luminescence (OSL) dating since it has become possible to measure
signals at the single-grain scale. The accuracy of large chronological
datasets can benefit from the inclusion, in chronological modelling, of
stratigraphic constraints and shared systematic errors. Recently, a number
of Bayesian models have been developed for OSL age calculation; the R
package “BayLum” presented herein allows different models of this type to be implemented,
particularly for samples in stratigraphic order which share systematic
errors. We first show how to introduce stratigraphic constraints in
BayLum; then, we focus on the construction, based on measurement
uncertainties, of dose covariance matrices to account for systematic errors
specific to OSL dating. The nature (systematic versus random) of errors
affecting OSL ages is discussed, based – as an example – on the dose rate
determination procedure at the IRAMAT-CRP2A laboratory (Bordeaux). The
effects of the stratigraphic constraints and dose covariance matrices are
illustrated on example datasets. In particular, the benefit of combining
the modelling of systematic errors with independent ages, unaffected by
these errors, is demonstrated. Finally, we discuss other common ways of
estimating dose rates and how they may be taken into account in the
covariance matrix by other potential users and laboratories. Test datasets
are provided as a Supplement to the reader, together with an R
markdown tutorial allowing the reproduction of all calculations and figures
presented in this study.</p> |
| first_indexed | 2024-04-24T15:07:20Z |
| format | Article |
| id | doaj.art-577c17f81ca142a4bd4879065ce1bb6f |
| institution | Directory Open Access Journal |
| issn | 2628-3719 |
| language | English |
| last_indexed | 2024-04-24T15:07:20Z |
| publishDate | 2021-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geochronology |
| spelling | doaj.art-577c17f81ca142a4bd4879065ce1bb6f2024-04-02T12:37:29ZengCopernicus PublicationsGeochronology2628-37192021-04-01322924510.5194/gchron-3-229-2021Towards an improvement of optically stimulated luminescence (OSL) age uncertainties: modelling OSL ages with systematic errors, stratigraphic constraints and radiocarbon ages using the R package BayLumG. Guérin0G. Guérin1C. Lahaye2M. Heydari3M. Autzen4M. Autzen5J.-P. Buylaert6J.-P. Buylaert7P. Guibert8M. Jain9S. Kreutzer10S. Kreutzer11B. Lebrun12A. S. Murray13K. J. Thomsen14P. Urbanova15A. Philippe16UMR 5060 CNRS – Université Bordeaux Montaigne, IRAMAT-CRP2A, Maison de l'archéologie, Esplanade des Antilles, 33607 Pessac CEDEX, FranceUniv. Rennes, CNRS, Géosciences Rennes, UMR 6118, 35000 Rennes, FranceUMR 5060 CNRS – Université Bordeaux Montaigne, IRAMAT-CRP2A, Maison de l'archéologie, Esplanade des Antilles, 33607 Pessac CEDEX, FranceUMR 5060 CNRS – Université Bordeaux Montaigne, IRAMAT-CRP2A, Maison de l'archéologie, Esplanade des Antilles, 33607 Pessac CEDEX, FranceCenter for Nuclear Technologies, Technical University of Denmark, DTU Risø Campus, 4000 Roskilde, DenmarkNordic Laboratory for Luminescence Dating, Department of Geoscience, Aarhus University, DTU Risø Campus, 4000 Roskilde, DenmarkCenter for Nuclear Technologies, Technical University of Denmark, DTU Risø Campus, 4000 Roskilde, DenmarkNordic Laboratory for Luminescence Dating, Department of Geoscience, Aarhus University, DTU Risø Campus, 4000 Roskilde, DenmarkUMR 5060 CNRS – Université Bordeaux Montaigne, IRAMAT-CRP2A, Maison de l'archéologie, Esplanade des Antilles, 33607 Pessac CEDEX, FranceCenter for Nuclear Technologies, Technical University of Denmark, DTU Risø Campus, 4000 Roskilde, DenmarkUMR 5060 CNRS – Université Bordeaux Montaigne, IRAMAT-CRP2A, Maison de l'archéologie, Esplanade des Antilles, 33607 Pessac CEDEX, FranceGeography & Earth Sciences, Aberystwyth University, Aberystwyth, Wales, UKUMR 5060 CNRS – Université Bordeaux Montaigne, IRAMAT-CRP2A, Maison de l'archéologie, Esplanade des Antilles, 33607 Pessac CEDEX, FranceNordic Laboratory for Luminescence Dating, Department of Geoscience, Aarhus University, DTU Risø Campus, 4000 Roskilde, DenmarkCenter for Nuclear Technologies, Technical University of Denmark, DTU Risø Campus, 4000 Roskilde, DenmarkUMR 5060 CNRS – Université Bordeaux Montaigne, IRAMAT-CRP2A, Maison de l'archéologie, Esplanade des Antilles, 33607 Pessac CEDEX, FranceJean Leray Laboratory of Mathematics (LMJL), UMR6629 CNRS – Université de Nantes, France<p>Statistical analysis has become increasingly important in optically stimulated luminescence (OSL) dating since it has become possible to measure signals at the single-grain scale. The accuracy of large chronological datasets can benefit from the inclusion, in chronological modelling, of stratigraphic constraints and shared systematic errors. Recently, a number of Bayesian models have been developed for OSL age calculation; the R package “BayLum” presented herein allows different models of this type to be implemented, particularly for samples in stratigraphic order which share systematic errors. We first show how to introduce stratigraphic constraints in BayLum; then, we focus on the construction, based on measurement uncertainties, of dose covariance matrices to account for systematic errors specific to OSL dating. The nature (systematic versus random) of errors affecting OSL ages is discussed, based – as an example – on the dose rate determination procedure at the IRAMAT-CRP2A laboratory (Bordeaux). The effects of the stratigraphic constraints and dose covariance matrices are illustrated on example datasets. In particular, the benefit of combining the modelling of systematic errors with independent ages, unaffected by these errors, is demonstrated. Finally, we discuss other common ways of estimating dose rates and how they may be taken into account in the covariance matrix by other potential users and laboratories. Test datasets are provided as a Supplement to the reader, together with an R markdown tutorial allowing the reproduction of all calculations and figures presented in this study.</p>https://gchron.copernicus.org/articles/3/229/2021/gchron-3-229-2021.pdf |
| spellingShingle | G. Guérin G. Guérin C. Lahaye M. Heydari M. Autzen M. Autzen J.-P. Buylaert J.-P. Buylaert P. Guibert M. Jain S. Kreutzer S. Kreutzer B. Lebrun A. S. Murray K. J. Thomsen P. Urbanova A. Philippe Towards an improvement of optically stimulated luminescence (OSL) age uncertainties: modelling OSL ages with systematic errors, stratigraphic constraints and radiocarbon ages using the R package BayLum Geochronology |
| title | Towards an improvement of optically stimulated luminescence (OSL) age uncertainties: modelling OSL ages with systematic errors, stratigraphic constraints and radiocarbon ages using the R package BayLum |
| title_full | Towards an improvement of optically stimulated luminescence (OSL) age uncertainties: modelling OSL ages with systematic errors, stratigraphic constraints and radiocarbon ages using the R package BayLum |
| title_fullStr | Towards an improvement of optically stimulated luminescence (OSL) age uncertainties: modelling OSL ages with systematic errors, stratigraphic constraints and radiocarbon ages using the R package BayLum |
| title_full_unstemmed | Towards an improvement of optically stimulated luminescence (OSL) age uncertainties: modelling OSL ages with systematic errors, stratigraphic constraints and radiocarbon ages using the R package BayLum |
| title_short | Towards an improvement of optically stimulated luminescence (OSL) age uncertainties: modelling OSL ages with systematic errors, stratigraphic constraints and radiocarbon ages using the R package BayLum |
| title_sort | towards an improvement of optically stimulated luminescence osl age uncertainties modelling osl ages with systematic errors stratigraphic constraints and radiocarbon ages using the r package baylum |
| url | https://gchron.copernicus.org/articles/3/229/2021/gchron-3-229-2021.pdf |
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