A method to extract pure Raman spectrum of epitaxial graphene on SiC

The Raman spectrum of epitaxial graphene on SiC is generally obtained by simply subtracting a SiC spectra from the experimental data, which results in noisy spectrum and negative intensity. By using a Non-negative Matrix Factorization (NMF) method, we obtain pure graphene spectra, even for monolayer...

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Bibliographic Details
Published in:Applied physics letters 2013-11, Vol.103 (20), p.201911
Main Authors: Kunc, J., Hu, Y., Palmer, J., Berger, C., de Heer, W. A.
Format: Article
Language:English
Subjects:
Applied physics
Condensed Matter
Data smoothing
Epitaxy
Factorization
Graphene
Mapping
Materials Science
Monolayers
Physics
Silicon carbide
Spectra
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Summary:The Raman spectrum of epitaxial graphene on SiC is generally obtained by simply subtracting a SiC spectra from the experimental data, which results in noisy spectrum and negative intensity. By using a Non-negative Matrix Factorization (NMF) method, we obtain pure graphene spectra, even for monolayer graphene and sub-micron size patterned features, as well as in spatial mapping and depth profile. We show that the NMF method is efficient in data smoothing and for signal deconvolution with no assumption required for the functional form of the signals.
ISSN:0003-6951
1077-3118
DOI:10.1063/1.4830374