Dear All,
It was great to hear some useful comments about the best way to fit "step
profiles", it has helped a lot, and thanks to scott for sharing his data and
modelling with us, I knew it was possible to get the wrong height with tilted
data, but did not understand it until now.
After Yeti's comment that about the "fit critical dimension" function, I looked
at this function again. I had tried it before and concluded it did not work,
but now I see it is actually the best way (of those available) to do what I
want, PROVIDED that the data can be levelled well.
I have two screen shots showing where it works well, and not so well ,both with
well-levelled data, see:
http://www.fc.up.pt/pessoas/peter.eaton/gwyddion/good_fit.jpg
-this is is an excellent result, and does what it should do "perfectly". This,
despite the fact that my sample is a polymer film, and not particulalrly flat
on the top(in fact this is why fitting a lien to the data is useful).
However in :
http://www.fc.up.pt/pessoas/peter.eaton/gwyddion/poor_fit.jpg
you can see that there is an underestimation, due to not fitting the lower
level correctly.
I am guessing that this is due to my "step" not fitting within the w/10 region.
Is that right, Yeti? Is it possible to have the w/10 factor user -definable? IF
possible, it would be great, I coul duse this function to analyse a lot of old
data.
And thanks very much for adding the markers to the profile measurement, it will
be really useful.
Pete.
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