One of iolite’s key capabilities is its ability to model processes occurring with a measurement session as time series. This is achieved via a series of interpolation methods, collectively referred to here as “splines” although they range from a simple mean of the observed data through to variably smoothed cubic splines.

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.