Hi Juan,
The data and model are k-weighted and multiplied by the chosen window
function before the least-squares fit. So yes, as you see, the choice
of dk will change a k-space fit. I wouldn't expect it to change the
results by a huge amount no matter how the fit was done. I would
suspect something else is going on, but it's hard to tell much without
more details.
--Matt
On Fri, Sep 10, 2010 at 8:36 PM, Lezama Pacheco, Juan Salvador
jlez...@slac.stanford.edu wrote:
Hi Matt:
Thanks so much for your answer. Let's see if I can make it more clear
this time.
Should dk have an effect on the actual fit, if it is performed in k-space?
As I said, I found out that by changing dk (in k space) (keeping (kmin,kmax)
constant) values change
around 15%, so that tells me the actual fitting range is
(kmin-dk/2,kmax+dk/2) is that so?
Juan
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