It is a nice demonstration that |χ(R)| is not equal to |χ1(R)|+ |χ2(R)| + ... |χn(R)|. It is equal to: |χ1(R) + χ2(R) + ... χn(R) |. The latter is most often smaller than the former, according to the Cauchy-Schwarz inequality. Anatoly
On Wed, Sep 23, 2020 at 8:58 AM Ashwini Kumar Poswal < poswalashw...@gmail.com> wrote: > Dear All, > I have one problem regarding the sum of all paths (R-space) after fitting. > If we include many paths for the fitting, the fitting shows a good fit but > after fitting, I select all paths and export (using Artemis [Data] window: > save data + marked paths as |χ(R)|. I plotted all paths in origin as well > as the sum of all paths. But when I add up all the contributions from all > the paths, the deviation at larger paths is extraordinarily high and not > equal to final fit. I am attaching a figure for illustration. It is clearly > seen that the final fit is lesser compared to one of the path and the sum > of all paths is quite high compared to fit (as shown in second figure. Can > anybody suggest, how to sum different paths? > [image: image.png] > [image: image.png] > > Regards > *Ashwini Kumar Poswal* > *Mumbai* > *Tel.-+91 (022) 25595081* > _______________________________________________ > Ifeffit mailing list > Ifeffit@millenia.cars.aps.anl.gov > http://millenia.cars.aps.anl.gov/mailman/listinfo/ifeffit > Unsubscribe: http://millenia.cars.aps.anl.gov/mailman/options/ifeffit >
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