Physics – Condensed Matter – Materials Science
Scientific paper
2011-04-05
Physics
Condensed Matter
Materials Science
10 pages, 4 figures
Scientific paper
10.1103/PhysRevB.84.134105
We have systematically studied the optimal real-space sampling of atomic pair distribution data by comparing refinement results from oversampled and resampled data. Based on nickel and a complex perovskite system, we demonstrate that the optimal sampling is bounded by the Nyquist interval described by the Nyquist-Shannon sampling theorem. Near this sampling interval, the data points in the PDF are minimally correlated, which results in more reliable uncertainty prediction. Furthermore, refinements using sparsely sampled data may run many times faster than using oversampled data. This investigation establishes a theoretically sound limit on the amount of information contained in the PDF, which has ramifications towards how PDF data are modeled.
Billinge Simon J. L.
Farrow Christopher L.
Juhas Pavol
Kim Hyunjeong
Shaw Margaret
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