Combined Rietveld Refinements: Where 1+1 can be > 2

Presentation Goal
  • Discuss why use of more than one data set, for example x-rays and neutrons or x-ray measurements can support more extensive models than that from a single data set. Or, how to use a priori "knowledge" (in truth, assumptions) to reduce the complexity of a model. Also, how to detect that two data sets are incompatible, where a combined fit is not appropriate.
  • Format: PDF slides or a RealPlayer video of the slides with accompanying audio.
Presentation Outline
  • Motivation to use more than a single measurement
    • Anomalous dispersion (resonant scattering)
    • X-rays + neutrons
    • Hard & soft constraints
  • Combined refinement case studies
  • What can go wrong with combined refinements
Links