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 language | English |
|---|---|
| Pages (from-to) | 12-18 |
| Number of pages | 7 |
| Journal | MethodsX |
| Volume | 1 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2014 |
| Externally published | Yes |
Keywords
- Atom probe microscopy
- Binomial analysis
- Compositional analysis
- Nearest neighbours
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