Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,033

The DOI matches its Crossref record.

Wavelet analysis of extended x-ray absorption fine structure data

Funke, H., Scheinost, A. C., Chukalina, M.·2005·Physical Review B

Abstract

Fourier transform (FT) is a fundamental step for the data reduction and interpretation of extended x-ray absorption fine structure (EXAFS) spectra. The FT separates backscattering atoms by their radial distance from the absorbing atom (so-called shells). We suggest to routinely complement the FT by a wavelet transform (WT), which provides not only radial distance resolution, but resolves in $k$ space. This information eases the discrimination of atoms by their elemental nature, especially if these atoms are at the same distance. We present an in-depth analysis of the Morlet wavelet, which has specific advantages for EXAFS analysis, including the possibility to estimate Morlet parameter values optimized either for elemental or for spatial resolution. Using an experimental spectrum of $\mathrm{Zn}\text{\ensuremath{-}}\mathrm{Al}$ layered double hydroxide, we demonstrate the discrimination of $\mathrm{Al}$ and $\mathrm{Zn}$ at a similar crystallographic position, in spite of destructive interference substantially reducing signal information. Finally, the extension to multiple scattering paths leads to a deeper understanding of the resolution properties of the WT.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1103/physrevb.71.094110

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 1,033

Metadata

Authors
Funke, H., Scheinost, A. C., & Chukalina, M.
Venue
Physical Review B
Published
2005-03-30
Volume
71
Issue
9
ISSN
  • 1098-0121 (ISSN-L)
  • 1550-235X
OpenAlex
W1994211019
Cited by
1,033
References
0
FWCI
3.01
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Wavelet analysis of extended x-ray absorption fine structure data. https://app.cochat.ai/papers/10.1103/physrevb.71.094110
The paper
Funke, H., Scheinost, A. C., & Chukalina, M. (2005). Wavelet analysis of extended x-ray absorption fine structure data. Physical Review B. https://doi.org/10.1103/physrevb.71.094110

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.