Articles | Volume 3, issue 1
https://doi.org/10.5194/gchron-3-229-2021
https://doi.org/10.5194/gchron-3-229-2021
Research article
 | 
28 Apr 2021
Research article |  | 28 Apr 2021

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

Guillaume Guérin, Christelle Lahaye, Maryam Heydari, Martin Autzen, Jan-Pieter Buylaert, Pierre Guibert, Mayank Jain, Sebastian Kreutzer, Brice Lebrun, Andrew S. Murray, Kristina J. Thomsen, Petra Urbanova, and Anne Philippe

Viewed

Total article views: 2,801 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,781 943 77 2,801 238 90 101
  • HTML: 1,781
  • PDF: 943
  • XML: 77
  • Total: 2,801
  • Supplement: 238
  • BibTeX: 90
  • EndNote: 101
Views and downloads (calculated since 03 Dec 2020)
Cumulative views and downloads (calculated since 03 Dec 2020)

Viewed (geographical distribution)

Total article views: 2,801 (including HTML, PDF, and XML) Thereof 2,617 with geography defined and 184 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Nov 2025
Download
Short summary
This paper demonstrates how to model optically stimulated luminescence (OSL) and radiocarbon ages in a Bayesian framework, using a dedicated software tool called BayLum. We show the effect of stratigraphic constraints, of modelling the covariance of ages when the same equipment is used for a series of OSL samples, and of including independent ages on a chronological inference. The improvement in chronological resolution is significant.
Share