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

Maxwell Grady; Zhongwei Dai; Karsten Pohl

doi:10.5334/jors.191

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

Journal of Open Research Software

Volume 6 (2018): Issue 1

By: Maxwell Grady , Zhongwei Dai and Karsten Pohl

Open Access

|Feb 2018

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.

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Articles in this issue

DOI: https://doi.org/10.5334/jors.191 | Journal eISSN: 2049-9647

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Language: English

Submitted on: Sep 5, 2017

Accepted on: Jan 16, 2018

Published on: Feb 5, 2018

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Physics,

Materials Science,

Electron Microscopy,

Electron Diffraction,

Surface Science,

Python,

2D Materials

© 2018 Maxwell Grady, Zhongwei Dai, Karsten Pohl, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 6 (2018): Issue 1