SpectroLab: An Open Source Matlab Based Toolbox for High Throughput Spectroscopy Analysis
Christopher Sims

TL;DR
SpectroLab is an open source Matlab toolbox designed for high throughput spectroscopic data analysis, supporting various visualization and analysis techniques, and demonstrated on multiple material systems.
Contribution
It introduces a versatile, open source Matlab toolbox for spectroscopic data analysis with multiple visualization tools, applicable to ARPES and other spectroscopic data.
Findings
Successfully applied to HfP2, ZrSiS, and Hf2Te2P systems
Provides tools for derivative, energy contours, 3D plots, and core level analysis
Demonstrates robustness and versatility of the software
Abstract
We present an open source software package SpectroLab a Matlab-based tool developed in 2018 for the analysis of spectroscopic data. In this package, there are tools for derivative analysis, stacked energy contours, stacked plots for theory, 3D volumetric plots, core level analysis, and derivative analysis. The package can currently be used for angle-resolved photoemission spectroscopy (ARPES) data, with the ability to also be used for other spectroscopic data in the future. We apply this program to the HfP2, ZrSiS, and Hf2Te2P systems to demonstrate its robustness.
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Taxonomy
TopicsMachine Learning in Materials Science · Inorganic Chemistry and Materials · Semiconductor materials and devices
