Quantitative binomial distribution analyses of nanoscale like-solute atom clustering and segregation in atom probe tomography data.

Abstract:

:The applicability of the binomial frequency distribution is outlined for the analysis of the evolution nanoscale atomic clustering of dilute solute in an alloy subject to thermal ageing in 3D atom probe data. The conventional chi(2) statistics and significance testing are demonstrated to be inappropriate for comparison of quantity of solute segregation present in two or more different sized system. Pearson coefficient, mu, is shown to normalize chi(2) with respect to sample size over an order of magnitude. A simple computer simulation is implemented to investigate the binomial analysis and infer meaning in the measured value of mu over a series of systems at different solute concentrations and degree of clustering. The simulations replicate the form of experimental data and demonstrate the effect of detector efficiency to significantly underestimate the measured segregation. The binomial analysis is applied to experimental atom probe data sets and complementary simulations are used to interpret the results.

journal_name

Microsc Res Tech

authors

Moody MP,Stephenson LT,Ceguerra AV,Ringer SP

doi

10.1002/jemt.20582

subject

Has Abstract

pub_date

2008-07-01 00:00:00

pages

542-50

issue

7

eissn

1059-910X

issn

1097-0029

journal_volume

71

pub_type

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