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The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
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Updated: May 13, 2025

Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples
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Genetic algorithm-based geometry calibration for dynamic compression x-ray diffraction experiments.

Nathan P Brown1, Tommy Ao1, Marcus D Knudson1

  • 1Sandia National Laboratories, P.O. Box 5800, Albuquerque, New Mexico 87185, USA.

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|May 12, 2025
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Summary
This summary is machine-generated.

A new genetic algorithm method simplifies geometry calibration for dynamic compression X-ray diffraction (XRD) experiments. This approach accurately determines detector and crystal orientation in complex 3D setups without prior constraints.

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Area of Science:

  • Materials Science
  • Crystallography
  • High-Pressure Physics

Background:

  • Accurate analysis of dynamic compression X-ray diffraction (XRD) data requires precise geometry calibration.
  • Determining detector position, orientation, and crystal lattice orientation in 3D geometries is challenging due to complex optimization problems.

Purpose of the Study:

  • To develop and present a robust genetic algorithm-based approach for dynamic compression XRD geometry calibration.
  • To overcome the nonlinear, nonsmooth, and discontinuous nature of traditional calibration optimization problems.

Main Methods:

  • Implementation of a genetic algorithm for solving the geometry calibration problem.
  • Detailed image processing and algorithm implementation strategies.
  • Development and deployment of open-source software for calibration.

Main Results:

  • Demonstrated capability to calibrate detector and crystal parameters in arbitrary 3D scattering geometries.
  • Successfully determined crystal orientation without requiring a priori rotation constraints.
  • Validated the genetic algorithm's effectiveness in handling complex XRD calibration scenarios.

Conclusions:

  • The genetic algorithm approach provides an effective solution for challenging dynamic compression XRD geometry calibrations.
  • The developed open-source software facilitates accurate data interpretation in high-pressure materials science.
  • This method enhances the reliability of structural analysis in dynamic compression experiments.