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 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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