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Related Experiment Video

Updated: Jun 5, 2025

$Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples$

Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples

Published on: June 19, 2018

Exploiting Friedel pairs to interpret scanning 3DXRD data from complex geological materials.

Jean-Baptiste Jacob¹, Jonathan Wright², Benoît Cordonnier²

¹The Njord Centre, Departments of Geosciences and Physics University of Oslo Norway.

Journal of Applied Crystallography

|December 4, 2024

Summary

This summary is machine-generated.

This study presents a new processing strategy for synchrotron scanning 3D X-ray diffraction (s3DXRD) data. The method accurately locates diffraction events in large, deformed materials, revealing internal structure and mineral composition.

Keywords:

3DXRD Friedel pairs geological materials synchrotron X-ray diffraction

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Area of Science:

Materials Science
Geology
Crystallography

Background:

Processing large, highly deformed polyphase materials with s3DXRD data presents significant challenges.
Accurate characterization of internal structure and mineral composition is crucial for understanding material behavior.

Purpose of the Study:

To introduce a novel processing strategy for s3DXRD data.
To enable precise localization of diffraction events and detailed intra-grain analysis.
To address challenges in analyzing large, deformed, polyphase materials.

Main Methods:

Leveraging Friedel pairs (symmetric Bragg reflections) for precise diffraction event localization.
Developing new modules for efficient Friedel pair matching in large datasets (up to 10^8 peaks).
Implementing phase assignment and local fitting of crystal orientation and unit cell parameters on a voxel grid.

Main Results:

Successfully demonstrated the technique on fractured granite samples and an aluminum alloy gasket.
Characterized complex geological materials, revealing internal structure and mineral composition.
Recovered internal texture and residual strain information in highly deformed materials.

Conclusions:

The developed processing strategy effectively handles large, complex s3DXRD datasets.
The method enables detailed intra-grain analysis and accurate material characterization.
This technique is valuable for studying the internal structure and deformation of crystalline rocks and other highly deformed materials.