Multiscale wavelet decomposition of time-resolved X-ray diffraction signals in cyclohexadiene

We demonstrate how the wavelet transform, which is a powerful tool for compression, filtering, and scaling analysis of signals, may be used to separate large- and short-scale electron density features in X-ray diffraction patterns. Wavelets can isolate the electron density associated with delocalize...

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Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS Vol. 115; no. 41
Main Authors: Osipov, Vladimir Al, Kowalewski, Markus, Mukamel, Shaul
Format: Journal Article
Language:English
Published: United States National Academy of Sciences 25-09-2018
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Summary:We demonstrate how the wavelet transform, which is a powerful tool for compression, filtering, and scaling analysis of signals, may be used to separate large- and short-scale electron density features in X-ray diffraction patterns. Wavelets can isolate the electron density associated with delocalized bonds from the much stronger background of highly localized core electrons. The wavelet-processed signals clearly reveal the bond formation and breaking in the early steps of the photoinduced pericyclic ring opening reaction of 1,3-cyclohexadiene, which are not resolved in the bare signal.
Bibliography:USDOE Office of Science (SC)
FG02-04ER15571
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.1811983115