An important part of iolite is the time ordering of data. This allows iolite to accurately model time-dependent phenomena such as sensitivity drift, mass fractionation and baseline variation.
Laser logs can save a lot of time when setting up selections in iolite. Rather than painstakingly reviewing each bit of data and assigning it to a selection/group, the time stamps in a laser log and the analysis annotations can be matched up with mass spec data to automate this process.
One question that came up recently was how to get the results in weight percent oxide rather than ppm. In this note, we’ll go through one way you can do that using iolite’s python functionality.
We recently had a question about replacing values below 0 with 0 so I thought I’d write a quick note to demonstrate one way you can do that using iolite’s python functionality.