In iolite 3, sessions were saved as Igor Pro “packed experiment” pxp files. This was convenient because iolite 3 was built on top of Igor Pro.
Curve fitting plays an import role in iolite’s data reduction pipeline. In order to get accurate results we must have an accurate representation of how our backgrounds and sensitivities are evolving with time.
Using laser logs to help sort out what’s what in your data files is a significant time saver. Now, with iolite 4’s python API (see here and here for more info) you can do even more with your laser data!
iolite comes with many useful python packages, but we cannot anticipate everything our users might want to use python for in iolite. If your great idea depends on additional python packages that we do not include, here is a quick overview of one way you can install those packages.
We recently had an email asking about exporting time series data that had been smoothed by averaging. It turns out this is something very easy to do with iolite 4’s built in python interpreter.