TY - JOUR
T1 - Point-by-point compositional analysis for atom probe tomography
AU - Stephenson, Leigh T.
AU - Ceguerra, Anna V.
AU - Li, Tong
AU - Rojhirunsakool, Tanaporn
AU - Nag, Soumya
AU - Banerjee, Rajarshi
AU - Cairney, Julie M.
AU - Ringer, Simon P.
PY - 2014
Y1 - 2014
N2 - 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
AB - 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
KW - Atom probe microscopy
KW - Binomial analysis
KW - Compositional analysis
KW - Nearest neighbours
UR - http://www.scopus.com/inward/record.url?scp=84898947465&partnerID=8YFLogxK
U2 - 10.1016/j.mex.2014.02.001
DO - 10.1016/j.mex.2014.02.001
M3 - Article
AN - SCOPUS:84898947465
SN - 2215-0161
VL - 1
SP - 12
EP - 18
JO - MethodsX
JF - MethodsX
IS - 1
ER -