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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">This is something that I have thought about myself, too. The quick answer is this is not something that can be done simply. The Kalpha2 & alpha2 wavelengths are so close that
all that is done is to shift each peak computed for alpha1 to the location of alpha2, multiply it and add it. Very quick and easy. We don�t have a mechanism to handle more that two wavelengths, but open source means that in theory the code could be changed
to handle more than alpha 1,2 (though I am not convinced that the other components matter for all but the most finicky of computations). K beta is a different issue. That wavelength is different enough that one needs to compute the pattern all over again and
perhaps even have a second set of instrumental profile terms. Also possible to do, but certainly not implemented.
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Depending on the problem, the gains from using all the incident photons without a filter or analyzer could be really valuable and would overcome the disadvantages of having three
rather than two wavelengths, so I can see reasons why one might want to do this. However, there are energy dispersive detectors x-ray detectors that can easily separate K alpha from K beta (not alpha 1 from alpha 2 though). An energy-dispersive detector coupled
with two MCA�s would allow you to collect separate K alpha and K beta patterns from a single scan. With that one could do a two-histogram fit in GSAS-II. That would offer the best of all worlds IMO.
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Brian<o:p></o:p></span></p>
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