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• W2015440390 abstract "We present a review of spatial point processes as statistical models that we have designed for the analysis and treatment of atom probe tomography (APT) data. As a major advantage, these methods do not require sampling. The mean distance to nearest neighbour is an attractive approach to exhibit a non-random atomic distribution. A χ(2) test based on distance distributions to nearest neighbour has been developed to detect deviation from randomness. Best-fit methods based on first nearest neighbour distance (1 NN method) and pair correlation function are presented and compared to assess the chemical composition of tiny clusters. Delaunay tessellation for cluster selection has been also illustrated. These statistical tools have been applied to APT experiments on microelectronics materials." @default.
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• W2015440390 date "2013-09-01" @default.
• W2015440390 modified "2023-10-18" @default.
• W2015440390 title "Point process statistics in atom probe tomography" @default.
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• W2015440390 doi "https://doi.org/10.1016/j.ultramic.2012.10.004" @default.
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