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A complex modeling approach that combines atomic pair distribution function and small-angle X-ray scattering data from CdS quantum dots yields more robust and accurate structural and morphological parameters when compared with either single technique alone.

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It is difficult to estimate statistical uncertainties from powder diffraction data collected on two-dimensional detectors. Here, different approaches are compared and best practices suggested if the full variance–covariance matrix can be propagated, as well as the best approximate approach when only the variances are propagated.
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