Raman signatures of ferroic domain walls captured by principal component analysis
Abstract
Ferroic domain walls are currently investigated by several state-of-the art techniques in order
to get a better understanding of their distinct, functional properties. Here, principal component
analysis (PCA) of Raman maps is used to study ferroelectric domain walls (DWs) in LiNbO$_3$
and ferroelastic DWs in NdGaO$_3$. It is shown that PCA allows us to quickly and reliably
identify small Raman peak variations at ferroelectric DWs and that the value of a peak shift
can be deduced (accurately and without a priori) from a rst order Taylor expansion of
the spectra. The ability of PCA to separate the contribution of ferroelastic domains and DWs
to Raman spectra is emphasized. More generally, our results provide a novel route for the
statistical analysis of any property mapped across a DW.
Domains
Physics [physics]
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