Dosimetric dating methods based on the analysis of luminescence signals emitted by granular minerals extracted from sedimentary deposits now play an important role in the study of the Quaternary. Here we propose a new approach in which the age of the deposit is calculated by combining the equivalent dose and dose-rate distributions. The underlying Bayesian mathematical model and its implementation via an R code are provided, together with the results obtained for a finite set of configurations.

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.