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An open-source software ecosystem for the interactive exploration of ultrafast electron scattering data.

Laurent P René de Cotret1, Martin R Otto1, Mark J Stern1

  • 11Department of Physics, McGill University, Montréal, Canada.

Advanced Structural and Chemical Imaging
|October 13, 2018
PubMed
Summary

This study introduces three Python packages for ultrafast electron scattering (UES) data analysis. These free, open-source tools facilitate high-throughput data reduction and interactive exploration for UES research.

Keywords:
Data processingOpen-sourceUltrafast electron scatteringVisualization

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Area of Science:

  • Materials Science
  • Physical Chemistry
  • Computational Science

Background:

  • Ultrafast electron scattering (UES) experiments generate large, complex datasets.
  • Efficient processing and analysis tools are crucial for extracting meaningful scientific insights from UES data.
  • Existing software may lack the specialized functionalities or user-friendliness required for modern UES research.

Purpose of the Study:

  • To present a comprehensive software ecosystem for processing and analyzing ultrafast electron scattering (UES) data.
  • To provide researchers with free and open-source tools for efficient data handling and interactive exploration.
  • To enhance the accessibility and reproducibility of UES data analysis.

Main Methods:

  • Development of three integrated Python packages: 'iris' (GUI for interactive exploration), 'npstreams' (high-throughput data reduction), and 'scikit-ued' (specialized analysis routines).
  • Implementation of parallel processing for efficient data reduction.
  • Inclusion of specialized algorithms for image registration, simulation, and crystal structure manipulation.

Main Results:

  • A robust software ecosystem enabling interactive exploration and analysis of UES data.
  • Demonstration of high-throughput parallel data reduction capabilities.
  • Provision of well-documented, tested, and permissively licensed software packages.

Conclusions:

  • The developed Python packages offer a powerful, user-friendly solution for UES data analysis.
  • This software ecosystem lowers the barrier to entry for UES data processing and interpretation.
  • The open-source nature promotes collaboration and further development in the field of ultrafast electron scattering.