Point-by-point compositional analysis for atom probe tomography

Leigh T. Stephenson, Anna V. Ceguerra, Tong Li, Tanaporn Rojhirunsakool, Soumya Nag, Rajarshi Banerjee, Julie M. Cairney, Simon P. Ringer

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

This new alternate approach to data processing for analyses that traditionally employed grid-based counting methods is necessary because it removes a user-imposed coordinate system that not only limits an analysis but also may introduce errors. We have modified the widely used "binomial" analysis for APT data by replacing grid-based counting with coordinate-independent nearest neighbour identification, improving the measurements and the statistics obtained, allowing quantitative analysis of smaller datasets, and datasets from non-dilute solid solutions. It also allows better visualisation of compositional fluctuations in the data. Our modifications include:.using spherical k-atom blocks identified by each detected atom's first k nearest neighbours.3D data visualisation of block composition and nearest neighbour anisotropy.using z-statistics to directly compare experimental and expected composition curves. Similar modifications may be made to other grid-based counting analyses (contingency table, Langer-Bar-on-Miller, sinusoidal model) and could be instrumental in developing novel data visualisation options. Crown

Original languageEnglish
Pages (from-to)12-18
Number of pages7
JournalMethodsX
Volume1
Issue number1
DOIs
StatePublished - 2014
Externally publishedYes

Keywords

  • Atom probe microscopy
  • Binomial analysis
  • Compositional analysis
  • Nearest neighbours

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