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

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 inapprop...

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Autori principali: Moody, M, Stephenson, LT, Ceguerra, A, Ringer, S
Natura: Journal article
Lingua:English
Pubblicazione: 2008
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author Moody, M
Stephenson, LT
Ceguerra, A
Ringer, S
author_facet Moody, M
Stephenson, LT
Ceguerra, A
Ringer, S
author_sort Moody, M
collection OXFORD
description 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.
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spelling oxford-uuid:044c6370-81ff-4851-89e9-54fc6aebb9af2022-03-26T08:50:59ZQuantitative binomial distribution analyses of nanoscale like-solute atom clustering and segregation in atom probe tomography data.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:044c6370-81ff-4851-89e9-54fc6aebb9afEnglishSymplectic Elements at Oxford2008Moody, MStephenson, LTCeguerra, ARinger, SThe 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.
spellingShingle Moody, M
Stephenson, LT
Ceguerra, A
Ringer, S
Quantitative binomial distribution analyses of nanoscale like-solute atom clustering and segregation in atom probe tomography data.
title Quantitative binomial distribution analyses of nanoscale like-solute atom clustering and segregation in atom probe tomography data.
title_full Quantitative binomial distribution analyses of nanoscale like-solute atom clustering and segregation in atom probe tomography data.
title_fullStr Quantitative binomial distribution analyses of nanoscale like-solute atom clustering and segregation in atom probe tomography data.
title_full_unstemmed Quantitative binomial distribution analyses of nanoscale like-solute atom clustering and segregation in atom probe tomography data.
title_short Quantitative binomial distribution analyses of nanoscale like-solute atom clustering and segregation in atom probe tomography data.
title_sort quantitative binomial distribution analyses of nanoscale like solute atom clustering and segregation in atom probe tomography data
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AT stephensonlt quantitativebinomialdistributionanalysesofnanoscalelikesoluteatomclusteringandsegregationinatomprobetomographydata
AT ceguerraa quantitativebinomialdistributionanalysesofnanoscalelikesoluteatomclusteringandsegregationinatomprobetomographydata
AT ringers quantitativebinomialdistributionanalysesofnanoscalelikesoluteatomclusteringandsegregationinatomprobetomographydata