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An improved reliability factor for quantitative low-energy electron diffraction.

Alexander M Imre1, Lutz Hammer2, Ulrike Diebold1

  • 1Institute of Applied Physics, TU Wien, Vienna, Austria.

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|February 26, 2026
PubMed
Summary
This summary is machine-generated.

A new metric, RS, improves quantitative low-energy electron diffraction (LEED I(V)) surface structure analysis. This RS metric offers a more reliable optimization target than the traditional Pendry

Keywords:
LEEDR factorsurface structure

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Area of Science:

  • Surface Science
  • Materials Science
  • Condensed Matter Physics

Background:

  • Quantitative low-energy electron diffraction (LEED I(V)) is crucial for determining surface structures by analyzing electron diffraction intensities as a function of electron energy.
  • Current analysis relies on optimizing agreement between experimental and calculated intensities, commonly using Pendry's RP metric.
  • Pendry's RP metric has significant limitations, including sensitivity to noise and intensity offsets, and can yield false positives for agreement.

Purpose of the Study:

  • To introduce a modified RS metric as a superior alternative to Pendry's RP for LEED I(V) analysis.
  • To address the shortcomings of RP, such as its noisy nature and susceptibility to minor data variations.
  • To evaluate the performance of RS in comparison to RP and RZJ under imperfect experimental conditions.

Main Methods:

  • Development and implementation of a modified RS agreement metric for LEED I(V) data analysis.
  • Comparative analysis of RS, Pendry's RP, and Zanazzi-Jona's RZJ metrics.
  • Optimization simulations using experimental LEED I(V) data with introduced imperfections.

Main Results:

  • The proposed RS metric effectively replaces RP, overcoming its limitations in optimization and sensitivity.
  • RS demonstrates comparable or superior performance to RP in guiding optimization towards correct surface structures, even with noisy experimental data.
  • The RZJ metric was found to be less effective than RS and RP when dealing with imperfect experimental data.

Conclusions:

  • The RS metric offers a more robust and reliable approach for quantitative surface structure determination using LEED I(V).
  • RS provides a better target function for optimization, reducing the likelihood of erroneous structural assignments.
  • This advancement enhances the precision and reliability of surface structure analysis in materials science and surface physics.