One-dimensional autocorrelation and power spectrum density functions of irregular regions

. 2013 Jan ; 124 () : 13-9. [epub] 20120821

Jazyk angličtina Země Nizozemsko Médium print-electronic

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid23142739
Odkazy

PubMed 23142739
DOI 10.1016/j.ultramic.2012.08.002
PII: S0304-3991(12)00206-9
Knihovny.cz E-zdroje

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.

Citace poskytuje Crossref.org

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