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arxiv: 2508.04803 · v1 · pith:C7DRD3BFnew · submitted 2025-08-06 · ❄️ cond-mat.mtrl-sci · cond-mat.mes-hall· cond-mat.str-el· cond-mat.supr-con

peaks: a Python package for analysis of angle-resolved photoemission and related spectroscopies

classification ❄️ cond-mat.mtrl-sci cond-mat.mes-hallcond-mat.str-elcond-mat.supr-con
keywords datatextbfarpesanalysisangle-resolvedbandelectronicmaterials
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The electronic band structure, describing the motion and interactions of electrons in materials, dictates the electrical, optical, and thermodynamic properties of solids. Angle-resolved photoemission spectroscopy (ARPES) provides a direct experimental probe of such electronic band structures, and so is widely employed in the study of functional, quantum, and 2D materials. \texttt{peaks} (\textbf{P}ython \textbf{E}lectron spectroscopy \textbf{A}nalysis by \textbf{K}ing group @ \textbf{S}t Andrews) provides a Python package for advanced data analysis of ARPES and related spectroscopic data. It facilitates the fast visualisation and analysis of multi-dimensional datasets, allows for the complex data hierarchy typical to ARPES experiments, and supports lazy data loading and parallel processing, reflecting the ever-increasing data volumes used in ARPES. It is designed to be run in an interactive notebook environment, with extensive inline and pop-out GUI support for data visualisation.

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