Hi John
I answer you after a while, but I hope to find you good. I performed the simulation with Jython script as well, using the Kelvin release. But my question was not exactly about that.
To make the question clearer I took the data you posted. As you can see also in you case the points are quite scattered increasing the thickness of the layer. If you normalize the K-ratios to 1 (see the picture I posted) the curve is much smoother.
My question is: probably this normalization does not have any physical meaning but, if I use the inverse of this curve to obtain the thickness of a sample, could it be ok? Or is it better to do not manipulate the data?
Best regards,
Walter