Multivariate analysis for scanning tunneling spectroscopy data
作者： Junsuke Yamanishi , Shigeru Iwase , Nobuyuki Ishida , Daisuke Fujita
DOI: 10.1016/J.APSUSC.2017.09.124
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摘要: Abstract We applied principal component analysis (PCA) to two-dimensional tunneling spectroscopy (2DTS) data obtained on a Si(111)-(7 × 7) surface explore the effectiveness of multivariate for interpreting 2DTS data. demonstrated that several components originated mainly from specific atoms at can be extracted by PCA. Furthermore, we showed hidden in spectra decomposed (peak separation), which is difficult achieve with normal without support theoretical calculations. Our an additional powerful way analyze and extract information large amount spectroscopic
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