iolite v4.10.0 has just been released! Below is a quick summary of changes, but in particular, these new features may be of interest. Big speed improvements for LIBS datasets Joe has spent quite a bit of time with the AV2 team coming up with an improved LIBS dataset format.

iolite v4.9.0 has just been released! It has been a little while since we put out a release so there are quite a few new features and bug fixes included.

The main error propagation algorithm in iolite was first published by Paton et al. (2010). Its purpose is to estimate the additional uncertainty to be added to the internal uncertainty calculated by iolite and is most often used in U-Pb studies.

NOTE: The following is a guest post by Graham Hagen-Peter (even though I -Bence- am listed as the author, it is Graham’s work; I am just posting it here).

The iolite GitHub repository contains many examples of additional modules for iolite written in python. It’s not always obvious how to download and use these files, so here’s a quick rundown of the process.