PLEASE: The Python Low-energy Electron Analysis SuitE – Enabling Rapid Analysis of LEEM and LEED Data. Issue 1 (5th February 2018)

• Record Type: Journal Article
• Authors: Grady, Maxwell; Dai, Zhongwei; Pohl, Karsten
• Is Part Of: Journal of open research software. Volume 6:Issue 1(2018)
• Publication Date: 2018-02-05
• Subjects: Physics -- Materials Science -- Electron Microscopy -- Electron Diffraction -- Surface Science -- Python -- 2D Materials; Computer software -- Reusability -- Periodicals; Open source software -- Periodicals; 005
• DOI: 10.5334/jors.191
• Languages: English
• ISSNs: 2049-9647

Abstract

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.