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Modified automatic term selection v2: A faster algorithm to calculate inelastic scattering cross-sections.

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  • 1Department of Physics and Astronomy, Uppsala University, P.O. Box 516, 75120 Uppsala, Sweden.

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Summary
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A new algorithm improves inelastic electron scattering calculations. This method offers better convergence and identifies individual atomic contributions, outperforming the previous Modified Automatic Term Selection (mats) algorithm.

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Area of Science:

  • Materials Science
  • Solid-State Physics
  • Computational Physics

Background:

  • Calculating inelastic scattering cross-sections is crucial for understanding electron-matter interactions.
  • Existing methods like the Modified Automatic Term Selection (mats) algorithm have limitations in convergence and atomic contribution analysis.
  • Previous work by Weickenmeier and Kohl [10] provides a basis for alternative computational approaches.

Purpose of the Study:

  • To introduce a novel algorithm for fast electron inelastic scattering cross-section calculations.
  • To enhance convergence properties in zone axis calculations.
  • To enable the identification of contributions from individual atoms to the scattering process.

Main Methods:

  • Development of a new computational algorithm.
  • Integration of concepts from the mats algorithm and the Weickenmeier and Kohl [10] method.
  • Application to zone axis calculations for fast electron scattering.

Main Results:

  • The new algorithm demonstrates significantly improved convergence properties compared to the mats algorithm.
  • The method successfully identifies and quantifies the contributions of individual atoms to inelastic scattering.
  • The algorithm represents an effective combination of established computational techniques.

Conclusions:

  • The presented algorithm offers a superior approach for calculating inelastic scattering cross-sections.
  • Enhanced convergence and atomic-level analysis represent key advancements for electron scattering simulations.
  • This method provides a valuable tool for researchers in materials science and condensed matter physics.