One-dimensional autocorrelation and power spectrum density functions of irregular regions
Jazyk angličtina Země Nizozemsko Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
23142739
DOI
10.1016/j.ultramic.2012.08.002
PII: S0304-3991(12)00206-9
Knihovny.cz E-zdroje
- MeSH
- algoritmy MeSH
- Fourierova analýza MeSH
- mikroskopie skenující sondou metody MeSH
- nanočástice ultrastruktura MeSH
- nanotechnologie metody MeSH
- povrchové vlastnosti MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem 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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