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Updated: May 29, 2026

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

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MIDAS: a quantitative framework for high-energy diffraction microscopy. Part II: accuracy, robustness and best

Hemant Sharma¹, Jun Sang Park¹, Sarvjit Shastri¹

¹Advanced Photon Source, Argonne National Laboratory, 9700 S. Cass Ave., Lemont, IL 60439, USA.

Acta Crystallographica. Section A, Foundations and Advances

|May 28, 2026

Summary

This summary is machine-generated.

This study validates high-energy diffraction microscopy (HEDM) data analysis. Key parameters significantly impact microstructural reconstruction accuracy, guiding best practices for reproducible HEDM experiments.

Keywords:

3D X-ray diffraction 3DXRD HEDM MIDAS experimental validation high-energy diffraction microscopy performance analysis

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Area of Science:

Materials Science
Crystallography
Experimental Physics

Background:

In situ high-energy diffraction microscopy (HEDM) experiments are increasingly complex.
Reproducible scientific outcomes require a quantitative understanding of HEDM data analysis.
Current analysis parameter influences on microstructural reconstruction accuracy are not well-quantified.

Purpose of the Study:

To systematically validate the HEDM data reduction methodology in the MIDAS software suite.
To quantify the impact of key analysis parameters on microstructural reconstruction accuracy and precision.
To establish best practices for HEDM data acquisition and analysis.

Main Methods:

Utilized a dedicated Ti-7Al dataset for rigorous validation.
Investigated both far-field (FF) and near-field (NF) HEDM techniques.
Employed crystallographic consistency filtering to address diffraction peak overlap.

Main Results:

Far-field HEDM grain position accuracy depends on diffraction vector diversity.
Near-field HEDM orientation precision significantly improves with detector separation.
The MIDAS methodology demonstrates robustness against experimental challenges like peak overlap.

Conclusions:

Established a framework of best practices for HEDM data acquisition and analysis.
Provided quantitative insights into HEDM analysis parameter sensitivities.
Aimed to enhance the accuracy and reliability of HEDM microstructural reconstructions.