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GSAS_USE (Bayesian Statistics Approach to Accounting for Unknown Systematic Errors)
GSAS_USE addresses the effects of systematic errors in Rietveld refinements. The errors are categorized into multiplicative, additive, and peak-shape types. Corrections for these errors are incorporated into using a Bayesian statistics approach, with the corrections themselves treated as nuisance parameters and marginalized out of the analysis. Structural parameters refined using the proposed method represent probability-weighted averages over all possible error corrections.
Documentation/User Guide
https://github.com/AntonGagin/GSAS_USE
Software
https://github.com/AntonGagin/GSAS_USE