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Spectral X-Ray Diffraction using a 6 Megapixel Photon Counting Array Detector.

Ryan D Muir¹, Nicholas R Pogranichniy¹, J Lewis Muir²

¹Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN, USA, 47906.

Proceedings of Spie--The International Society for Optical Engineering

|April 5, 2016

Summary

This summary is machine-generated.

Pixel-array detectors enable spectral imaging by counting single photons. This study calibrates these detectors for precise dual-energy X-ray diffraction measurements, separating data into monochromatic images for applications like protein structure analysis.

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Area of Science:

Instrumentation and Measurement
X-ray Diffraction Imaging
Photon Science

Background:

Pixel-array detectors offer massively parallel single-photon counting with millions of circuits.
Photon energy dependence on photoelectron production enables spectral imaging capabilities.
Accurate detector calibration is crucial for advanced diffraction applications.

Purpose of the Study:

To develop a statistical model for per-pixel detector calibration.
To utilize the calibrated detector for separating dual-energy diffraction measurements.
To demonstrate the potential for spectral imaging in X-ray diffraction.

Main Methods:

Development and application of a statistical instrument response model for calibration.
Per-pixel calibration of a pixel-array detector.
Performing dual-energy diffraction measurements and separating them into monochromatic images.

Main Results:

Successfully calibrated the pixel-array detector on a per-pixel basis using the statistical model.
Achieved separation of dual-energy diffraction data into two distinct monochromatic images.
Demonstrated the feasibility of spectral imaging with pixel-array detectors.

Conclusions:

The developed statistical calibration method enables precise per-pixel characterization of pixel-array detectors.
Calibrated detectors can effectively perform spectral imaging for dual-energy X-ray diffraction.
This technique has significant potential for applications such as multi-wavelength diffraction in protein structure determination and X-ray diffraction imaging.