[Ifeffit] Ifeffit Digest, Vol 190, Issue 9

[Christopher Chantler]

Some of our papers explain how to avoid k-weighting and use the actual measured uncertainties to define a fit.


Other papers by our group explain that a proper k-weighting would scale the value and the uncertainty by the same amount, so that the net fit should be unaffected.

Otherwise this is more like a change of the effective k-range over the fit.


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Christopher Chantler, Professor, FAIP, Fellow American Physical Society
Editor-in-Chief, Radiation Physics and Chemistry
Chair, International IUCr Commission on XAFS; CIT, CCN
IPP, International Radiation Physics Society
School of Physics, University of Melbourne
Parkville Victoria 3010 Australia
+61-3-83445437 FAX +61-3-93474783
chantler at unimelb.edu.au<https://owa.unimelb.edu.au/owa/redir.aspx?C=c7BoS0kVVkC1_S95-9x9l5cBu6YTjdAITgSrfUpfDAUV5oUH1LFYBcz08w8xvHMJoosZRdagfQM.&URL=mailto%3achantler%40unimelb.edu.au> chantler at me.com<https://owa.unimelb.edu.au/owa/redir.aspx?C=c7BoS0kVVkC1_S95-9x9l5cBu6YTjdAITgSrfUpfDAUV5oUH1LFYBcz08w8xvHMJoosZRdagfQM.&URL=mailto%3achantler%40me.com>
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Subject: Ifeffit Digest, Vol 190, Issue 9

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Today's Topics:

   1. Question about k-weighting real-world practice and outcomes
      (John Ferre)


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Message: 1
Date: Fri, 14 Dec 2018 17:53:41 -0800
From: John Ferre <jbferre at uw.edu>
To: ifeffit at millenia.cars.aps.anl.gov
Subject: [Ifeffit] Question about k-weighting real-world practice and
        outcomes
Message-ID:
        <CAN2QkxtgJYJsep0BHk3qKgqXu4nhcg-4GRBok_6c3SNfo1-jvA at mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Dear EXAFS folk,

I'm a graduate student in Jerry Seidler's group at the University of
Washington, Seattle.  I've been doing a numerical and experimental study on
how to optimize k-weighting for EXAFS when the total experimental
measurement time for a study is constrained, i.e., when you have 1 hour at
some given I0 flux and your job is to get the best results, in terms of
best fits or cleanest g(R).

Can anyone aim me at 'famous' papers (or at least 'standard' papers) on the
best use of k-weighting? Also, it would be great if people could informally
email me how they, personally, do k-weighting and what their personal
experience has been. My email is jbferre at uw.edu.

Much appreciated!
John
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