by Dirk Mittelstraß | Last update: Feb 24, 2021
Luminescence dating might be the best tool to determine the age of Pleistocene landscapes and archaeological artefacts. Many luminescence dating methods are out in the wild, some of them well-established, others just experimental. Over the last years, I investigated data analysis issues of some of those measurement techniques. This blog gives you access to new solutions I developed.
The package OSLdecomposition got an update, see the Changelog for details. The function
RLum.OSL_correction() includes now an algorithm that checks if the records contain not stimulated periods at beginning aor end of the measurement and removes them. This is for example useful to enable component separation in single-grain measurements.
I’m happy to anounce that our manuscript about spatially resolved IR-RF dating is accepted for discussion in the journal Geochronology. The preprint is available at gchron.copernicus.org. Short comments are allowed until March 11.
Just in time for the DLED2020, we released our R package OSLdecomposition for signal component identification and separation in multi-exponentially decaying measurements. Our focus laid on continous-wave optically stimulated luminescence (CW-OSL) measurements of quartz samples for dosimetry purposes. But you might find the package helpful for other applications too. Check out our DLED poster for a quick introduction into the Why and How.
Welcome to my site about new data analysis methods for luminescence dating measurements. Since about 2013, I worked at number of methods on this issue. This blog is meant to give you access to some of my findings and the software I developed. As this blog will slowly get more content over the next months, I hope to see you around sometime!
© Dirk Mittelstraß, 2020 - 2021 | This website was created with Rmarkdown