1. Bayesian inference of nanoparticle-broadened x-ray line profiles
- Author
-
Armstrong, N., Kalceff, W., Cline, J. P., and Bonevich, J.
- Subjects
Physics - Data Analysis, Statistics and Probability - Abstract
A single and self-contained method for determining the crystallite-size distribution and shape from experimental x-ray line profile data is presented. We have shown that the crystallite-size distribution can be determined without assuming a functional form for the size distribution, determining instead the size distribution with the least assumptions by applying the Bayesian/MaxEnt method. The Bayesian/MaxEnt method is tested using both simulated and experimental CeO$_{2}$ data. The results demonstrate that the proposed method can determine size distributions, while making the least number of assumptions. The comparison of the Bayesian/MaxEnt results from experimental CeO$_2$ with TEM results is favorable, Comment: 43 pages, 13 Figures, 5 Tables
- Published
- 2003