Hello,
I am inquiring about the meaning of convergence from you size distribution
model.
I recently completed some SANS measurements on a low alloy steel and found
the size dist model is not able to converge without increasing the weight
factor. However the ChiSq value is quite low, almost one, and upon repeated
fittings the resultant distributions are very similar, which is encouraging
results and a distribution I would expect from these samples.
[image: image.png]
Increasing the weight factor to 1.5 allows the fit to converge. However I
do notice that visually the curve fit worsens even though the ChiSq value
is better. This convergence feels artificially forced to me, as my
understanding is that this increases the error bars. I also notice this
shifts the dominant size distribution slightly larger. Repeating this fit
does not give a unique solution.
[image: image.png]
Would I be able to get an explanation on why the convergence matters here.
I understand that the population is located on the boundary of the trust
range, this is expected with this material, we are limited by the neutron
wavelength in this case. Of course the reported volume fraction is to be
taken with some uncertainty.
Any help is appreciated. The file is attached, as is the raw data.
Best regards,
Jacob Barron,
--
Jacob Barron, BSc, EIT
PhD Candidate
Materials Engineering
University of Alberta