Multi-frequency data analysis in AFM by wavelet transform

Gabriele Ferrini, Valentina Pukhova, V. Pukhova

Risultato della ricerca: Contributo in libroContributo a convegno

5 Citazioni (Scopus)

Abstract

Interacting cantilevers in AFM experiments generate non-stationary, multi-frequency signals consisting of numerous excited flexural and torsional modes and their harmonics. The analysis of such signals is challenging, requiring special methodological approaches and a powerful mathematical apparatus. The most common approach to the signal analysis is to apply Fourier transform analysis. However, FT gives accurate spectra for stationary signals, and for signals changing their spectral content over time, FT provides only an averaged spectrum. Hence, for non-stationary and rapidly varying signals, such as those from interacting cantilevers, a method that shows the spectral evolution in time is needed. One of the most powerful techniques, allowing detailed time-frequency representation of signals, is the wavelet transform. It is a method of analysis that allows representation of energy associated to the signal at a particular frequency and time, providing correlation between the spectral and temporal features of the signal, unlike FT. This is particularly important in AFM experiments because signals nonlinearities contains valuable information about tip-sample interactions and consequently surfaces properties. The present work is aimed to show the advantages of wavelet transform in comparison with FT using as an example the force curve analysis in dynamic force spectroscopy.
Lingua originaleEnglish
Titolo della pubblicazione ospiteIOP Conference Series: Materials Science and Engineering
Pagine012004
Numero di pagine9
Volume256
DOI
Stato di pubblicazionePubblicato - 2017
EventoInternational Conference on Scanning Probe Microscopy, SPM 2017 - rus
Durata: 27 ago 201730 ago 2017

Convegno

ConvegnoInternational Conference on Scanning Probe Microscopy, SPM 2017
Cittàrus
Periodo27/8/1730/8/17

Keywords

  • Engineering (all)
  • Materials Science (all)

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