BayCoN Plots and Systematic Errors in Single-Crystal Diffraction Experiments

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I whakaputaina i:Crystals vol. 15, no. 12 (2025), p. 1014-1065
Kaituhi matua: Henn, Julian
I whakaputaina:
MDPI AG
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022 |a 2073-4352 
024 7 |a 10.3390/cryst15121014  |2 doi 
035 |a 3286270675 
045 2 |b d20250101  |b d20251231 
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100 1 |a Henn, Julian 
245 1 |a BayCoN Plots and Systematic Errors in Single-Crystal Diffraction Experiments 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Bayesian Conditional Probability (BayCoN) plots provide an empirical means to classify systematic errors in single-crystal diffraction experiments based on weighted residuals. Using a set of 314 structures from IUCrData, four recurring error types are identified and illustrated as follows: (i) incorrect standard uncertainties of observed intensities, (ii) intensity and significance cut-offs, (iii) cases where weak observed intensities exceed calculated ones, like with incomplete absorption correction, and (iv) cases where they are systematically smaller. Only eleven data sets showed uniform BayCoN plots. The analysis focuses on how the residual distribution reveals and categorizes systematic errors; the impact on model parameters and their uncertainties is not addressed in this work. The proposed classification is intended to assist crystallographers in improving experimental accuracy by recognizing characteristic residual patterns. 
653 |a Systematic errors 
653 |a Software 
653 |a Crystallography 
653 |a Conditional probability 
653 |a Datasets 
653 |a Single crystals 
653 |a Parameter uncertainty 
653 |a Diffraction 
773 0 |t Crystals  |g vol. 15, no. 12 (2025), p. 1014-1065 
786 0 |d ProQuest  |t Materials Science Database 
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856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3286270675/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch