One-dimensional autocorrelation and power spectrum density functions of irregular regions
Language English Country Netherlands Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
23142739
DOI
10.1016/j.ultramic.2012.08.002
PII: S0304-3991(12)00206-9
Knihovny.cz E-resources
- MeSH
- Algorithms MeSH
- Fourier Analysis MeSH
- Microscopy, Scanning Probe methods MeSH
- Nanoparticles ultrastructure MeSH
- Nanotechnology methods MeSH
- Surface Properties MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Scanning probe microscopy (SPM) can be effectively used for evaluation of nanoscale roughness of surfaces obtained by different technological processes. Spectral properties of surface roughness can be evaluated using algorithms based on Fast Fourier Transform (FFT). For data that are not rectangular, this approach, however fails. In this paper we describe a modification of SPM data evaluation algorithms enabling to use FFT based approach even for irregular and non-continuous data. This opens novel possibilities in analysis of local surface roughness in many fields, e.g. on nanoparticles, semiconductor structures or any other nanostructured samples prepared using nanotechnology methods. Together with theoretical description of proposed method we present benchmarks for its performance and typical results of its application on different samples.
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