On predicted R factors for dynamic structure crystallography

ZEITSCHRIFT FUR KRISTALLOGRAPHIE-CRYSTALLINE MATERIALS(2018)

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Abstract
For the evaluation of data sets from dynamic structure crystallography, it may be helpful to predict expected R = I-ON/I-OFF-based agreement factors from the observed intensities and their corresponding standard uncertainties with laser ON and with laser OFF. The predicted R factors serve three purposes: (i) they indicate, which data sets are suitable and promising for further evaluation, (ii) they give a reference R value for the case of absence of systematic errors in the data and (iii) they can be compared to the corresponding predicted F-2-based R factors. For point (ii) it is inevitable, that the standard uncertainties from the experiment are adequate, i.e. they should adequately describe the noise in the observed intensities and must not be systematically over-or under estimated for a part of the data or the whole data set. It may be this requirement, which is currently the largest obstacle for further progress in the field of dynamic structure crystallography.
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Key words
dynamic crystallography,fit data quality,quality assurance,systematic errors,theoretical agreement factor
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