What is it about?
This research is about predicting the uncertainty of crystallographic measurements. Uncertainty can be under- and overestimated and this is not desirable. When we also consider the correlation of measurement the estimate for uncertainty becomes more accurate.
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Why is it important?
Predicting the range of future measurements and assisting modeling tools that rely on accurate uncertainty.
Perspectives
This idea lead to a couple of application: in experimental phasing in crystallography and interpreting time-resolved experiments.
Professor Gergely Katona
University of Gothenburg
Read the Original
This page is a summary of: Estimating the difference between structure-factor amplitudes using multivariate Bayesian inference, Acta Crystallographica Section A Foundations and Advances, March 2016, International Union of Crystallography,
DOI: 10.1107/s2053273316003430.
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