Optically Stimulated Luminescence (OSL) dating of Adriatic marine sediments: a test of the method using the Neapolitan Yellow Tuff tephra horizon as an independent age control

2012 ◽  
Vol 279-280 ◽  
pp. 418-419
Author(s):  
Natalie Russell
Boreas ◽  
2006 ◽  
Vol 35 (3) ◽  
pp. 587-599 ◽  
Author(s):  
PUTHUSSERRY J. THOMAS ◽  
ANDREW S. MURRAY ◽  
KURT H. KJaeR ◽  
SVEND FUNDER ◽  
EILIV LARSEN

Geochronology ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 229-245
Author(s):  
Guillaume Guérin ◽  
Christelle Lahaye ◽  
Maryam Heydari ◽  
Martin Autzen ◽  
Jan-Pieter Buylaert ◽  
...  

Abstract. 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.


2019 ◽  
Vol 22 ◽  
pp. 107
Author(s):  
L. M. Tsodoulos ◽  
K. Stamoulis ◽  
C. A. Papachristodoulou ◽  
K. G. Ioannides ◽  
S. Pavlides

We have investigated the application of luminescence dating to sediment and pottery samples from a paleoseismological trench excavated in the Gyrtoni Fault, Tyrnavos Basin, Central Greece. The samples were dated following the optically stimulated luminescence (OSL) dating method, using the Riso TL/OSL DA-20 reader. The OSL ages were obtained from chemically purified quartz and a single-aliquot regenerative-dose (SAR) protocol was followed for the equivalent dose (De) determination. Additionally, samples were collected and analyzed with the method of X-ray Fluorescence (XRF) spectrometry, in order to assess their elemental composition. Radioisotope sources (109Cd and 241Am) were used for sample excitation, while X-ray spectra were acquired using a Si(Li) detector coupled with standard electronics. The XRF data were submitted to principal component analysis (PCA). This statistical handling aimed to distinguish from which part of the upthrown fault block scarp-derived colluvium and alluvial deposits, parts of the downthrown block were derived and thus estimate the displacement. The results indicated that both the OSL dating method and the XRF analysis combined with PCA can serve as useful tools for paleoseismological investigations.


2019 ◽  
Vol 34 (8) ◽  
pp. 1476-1486 ◽  
Author(s):  
Vinícius R. Mendes ◽  
André O. Sawakuchi ◽  
Cristiano M. Chiessi ◽  
Paulo C. F. Giannini ◽  
Kira Rehfeld ◽  
...  

Boreas ◽  
2012 ◽  
Vol 41 (3) ◽  
pp. 452-462 ◽  
Author(s):  
Reza Sohbati ◽  
Andrew S. Murray ◽  
Jan-Pieter Buylaert ◽  
Nelson A. C. Almeida ◽  
Pedro P. Cunha

2012 ◽  
Vol 263 ◽  
pp. 3-13 ◽  
Author(s):  
Nina Dörschner ◽  
Tony Reimann ◽  
Dirk Wenske ◽  
Christopher Lüthgens ◽  
Sumiko Tsukamoto ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document