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This study introduces an open-source workflow for processing large datasets from multidimensional photoemission spectroscopy. This enables efficient electronic band structure mapping for advanced materials characterization.

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Area of Science:

  • Solid State Physics
  • Materials Science
  • Spectroscopy

Background:

  • Electronic band structure characterization is crucial for solid state materials.
  • Traditional photoemission spectroscopy has limitations in data acquisition speed and dimensionality.
  • Advancements in light sources and detectors enable multidimensional photoemission spectroscopy.

Purpose of the Study:

  • To develop an efficient, open-source workflow for processing large single-electron event data from multidimensional photoemission spectroscopy.
  • To enable rapid electronic band mapping for materials characterization.
  • To facilitate data management, storage, and reuse for high-throughput experiments.

Main Methods:

  • Development of an open-source workflow for handling billion-count single-electron events.
  • Implementation of distributed operations for efficient data processing.
  • Creation of structured data formats for downstream scientific tasks and database integration.

Main Results:

  • The workflow enables user interaction with massive photoelectron event streams (up to tens of MB/s).
  • It supports compatibility with 3rd and 4th generation light sources and table-top laser setups.
  • The workflow provides an end-to-end solution from data processing to database integration.

Conclusions:

  • The developed open-source workflow significantly enhances the efficiency of photoemission band mapping.
  • It provides a robust infrastructure for documenting data provenance and lineage.
  • This facilitates future high-throughput materials characterization and scientific discovery.