Bayesian inference of nanoparticle-broadened x-ray line profiles

Physics – Data Analysis – Statistics and Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

43 pages, 13 Figures, 5 Tables

Scientific paper

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

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Bayesian inference of nanoparticle-broadened x-ray line profiles does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Bayesian inference of nanoparticle-broadened x-ray line profiles, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Bayesian inference of nanoparticle-broadened x-ray line profiles will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-263500

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.