Application of clustering techniques to electron-diffraction data: determination of unit-cell parameters.
A new approach to determining the unit-cell vectors from single-crystal diffraction data based on clustering analysis is proposed. The method uses the density-based clustering algorithm DBSCAN. Unit-cell determination through the clustering procedure is particularly useful for limited tilt sequences and noisy data, and therefore is optimal for single-crystal electron-diffraction automated diffraction tomography (ADT) data. The unit-cell determination of various materials from ADT data as well as single-crystal X-ray data is demonstrated.
Institute for Mathematics, Johannes Gutenberg University Mainz, Staudingerweg 9, 55128, Mainz, Germany.
Sebastian
S
Schlitt
Tatiana E
TE
Gorelik
Andrew A
AA
Stewart
Elmar
E
Schömer
Thorsten
T
Raasch
Ute
U
Kolb