activity
20022023
most citedMaking sense of nanocrystal lattice fringes

33 citations · 70 across the 17 of their papers we have counts for

collaborators

17 papers

physics.comp-ph2023★ 1 cited

Genuine Plane Symmetries versus Pseudosymmetries in two Crystal Patterns of Graphic Artwork

Peter Moeck

The reader is informed about a method for the objective identification of the plane symmetry group of a "noisy" crystal pattern. Without giving numerical details, this information…

cond-mat.mtrl-sci2022★ 1 cited

A Computer Program for Objective Point Symmetry Classifications of Pseudosymmetric Electron Diffraction Spot Patterns

Lukas von Koch, Peter Moeck

A Python program for calculating the metrics necessary to perform information-theory based symmetry classifications and quantifications of transmission electron diffraction spot pa…

cond-mat.mtrl-sci2022

Objective crystallographic symmetry classifications of a noisy crystal pattern with strong Fedorov type pseudosymmetries and its optimal image-quality enhancement

Peter Moeck

Statistically sound crystallographic symmetry classifications are obtained with information theory based methods in the presence of approximately Gaussian distributed noise. A set…

cond-mat.mtrl-sci2022

Objective Point Symmetry Classifications/Quantifications of an Electron Diffraction Spot Pattern with Pseudo-Hexagonal Metric

Peter Moeck, Lukas von Koch

The recently developed information-theoretic approach to crystallographic symmetry classifications and quantifications in two dimensions (2D) from digital transmission electron and…

cond-mat.mtrl-sci2022★ 3 cited

Information-theoretic point symmetry classifications/quantifications of an electron diffraction spot pattern from a crystal with strong translational pseudosymmetry

Peter Moeck, Lukas von Koch

The recently developed information-theoretic approach to crystallographic symmetry classifications and quantifications in two dimensions (2D) from digital transmission electron and…

eess.IV2021

Information-theoretic symmetry classifications of crystal patterns in the presence of noise and strong Fedorov type pseudosymmetries for an optimal subsequent crystallographic processing of these patterns

Peter Moeck

Statistically sound crystallographic symmetry classifications are obtained with information theory based methods in the presence of approximately Gaussian distributed noise. A set…