PLEASE: The Python Low-energy Electron Analysis SuitE – Enabling Rapid Analysis of LEEM and LEED Data

• Main Authors: Maxwell Grady, Zhongwei Dai, Karsten Pohl
• Format: Article
• Language: English
• Published: Ubiquity Press 2018-02-01
• Series: Journal of Open Research Software
• Subjects: Physics; Materials Science; Electron Microscopy; Electron Diffraction; Surface Science; Python; 2D Materials
• Online Access: https://openresearchsoftware.metajnl.com/articles/191

PLEASE, the Python Low-energy Electron Analysis SuitE, provides an open source and cross-platform graphical user interface (GUI) for rapid analysis and visualization of low energy electron microscopy (LEEM) data sets. LEEM and the associated technique, selected area micro-spot low energy electron diffraction (μ-LEED), are powerful tools for analysis of the surface structure for many novel materials. Specifically, these tools are uniquely suited for the characterization of two-dimensional materials. PLEASE offers a user-friendly point-and-click method for extracting intensity-voltage curves from LEEM and LEED data sets. Analysis of these curves provides insight into the atomic structure of the target material surface with unparalleled resolution.