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

TL;DR

peaks is a Python package that streamlines the analysis, visualization, and processing of angle-resolved photoemission spectroscopy data, accommodating large datasets and interactive workflows.

Contribution

It introduces a comprehensive Python toolkit for ARPES data analysis, enabling efficient handling of complex, multi-dimensional datasets with GUI support and parallel processing.

Findings

Facilitates fast visualization of ARPES data

Supports complex data hierarchies and lazy loading

Enables parallel processing for large datasets

Abstract

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.