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.

Laser logs and mass spec sample metadata speed up the process of creating selections in iolite considerably. However, sometimes we want to further refine those selections for a variety of reasons.

Missing the color tables of iolite 3/Igor Pro in iolite 4? Read on to find out how you can transfer those color tables from Igor Pro to iolite 4!