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High Pressure Single Crystal Diffraction at PX^2
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New tools for calibrating diffraction setups.

J Kieffer1, V Valls1, N Blanc2

  • 1ESRF - The European Synchrotron, CS40220, 38043 Grenoble Cedex 9, France.

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|March 11, 2020
PubMed
Summary
This summary is machine-generated.

New pyFAI calibration tools simplify scattering and diffraction experiments. These tools offer a graphical interface for fixed detectors and a library for moving detectors, improving data processing for area detectors.

Keywords:
geometry calibrationgoniometersmoving detectorspair distribution functionpowder diffractiontranslation tables

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Area of Science:

  • Materials Science
  • Crystallography
  • Data Analysis

Background:

  • Accurate calibration of area detectors is crucial for processing scattering and diffraction data.
  • Existing methods for detector calibration can be complex and time-consuming, especially for moving detectors.

Purpose of the Study:

  • To introduce new, user-friendly calibration tools within the pyFAI software suite.
  • To enhance the processing of scattering data acquired with area detectors.
  • To provide flexible calibration solutions for both fixed and moving detector setups.

Main Methods:

  • Development of a graphical user interface (GUI) for calibrating fixed area detectors.
  • Implementation of a Python library for calibrating moving detectors (e.g., on a goniometer arm) within Jupyter notebooks.
  • Integration of these tools into the existing pyFAI suite for seamless use.

Main Results:

  • The new GUI simplifies the calibration of detector position for fixed area detectors in scattering experiments.
  • The Jupyter notebook library enables precise calibration of detector motion for diffraction experiments.
  • These tools streamline the data processing workflow for users of the pyFAI suite.

Conclusions:

  • The presented pyFAI calibration tools significantly improve the ease and accuracy of processing scattering and diffraction data.
  • These advancements facilitate more efficient and reliable experimental data analysis for researchers using area detectors.