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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Published in: | Proceedings of the National Academy of Sciences - PNAS Vol. 115; no. 41 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
National Academy of Sciences
25-09-2018
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Subjects: | |
Online Access: | Get full text |
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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. |
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Bibliography: | USDOE Office of Science (SC) FG02-04ER15571 |
ISSN: | 0027-8424 1091-6490 |
DOI: | 10.1073/pnas.1811983115 |