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Cited by 273

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High resolution x-ray absorption spectroscopy with absolute energy calibration for the determination of absorption edge energies

Kraft, S., Stümpel, J., Becker, P., Kuetgens, U.·1996·Review of Scientific Instruments

Abstract

The general characteristics and spectrometric features of a high resolution four-crystal reflection x-ray monochromator with wavelength analysis installed at the HASYLAB beam line L at DESY are presented. The monochromator is part of a spectrometer developed to calibrate x-ray absorption edge spectra in the energy range of 6–36 keV with a relative uncertainty ΔE/E from 10−5 to 10−6. This requires an extremely effective suppression of harmonics and also a negligible instrumental influence in order to obtain almost intrinsic spectra. As the results show, the monochromator fulfills the requirements, including very high stability. An example of the calibration procedure for the copper K edge is given as well as a comparison of the remeasured absorption edge energies with the previously tabulated data.

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Crossref · 10.1063/1.1146657

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Metadata

Authors
Kraft, S., Stümpel, J., Becker, P., & Kuetgens, U.
Venue
Review of Scientific Instruments
Published
1996-03-01
Volume
67
Issue
3
Pages
681-687
ISSN
  • 0034-6748 (ISSN-L)
  • 1089-7623
OpenAlex
W2049302850
Cited by
273
References
5
FWCI
2.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: High resolution x-ray absorption spectroscopy with absolute energy calibration for the determination of absorption edge energies. https://app.cochat.ai/papers/10.1063/1.1146657
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Kraft, S., Stümpel, J., Becker, P., & Kuetgens, U. (1996). High resolution x-ray absorption spectroscopy with absolute energy calibration for the determination of absorption edge energies. Review of Scientific Instruments. https://doi.org/10.1063/1.1146657

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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.