标题： 峰值：用于分析角分辨光电子能谱及相关光谱的Python软件包 显示英文标题

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

摘要： 电子能带结构描述了材料中电子的运动和相互作用，决定了固体的电、光和热力学性质。角分辨光电子能谱（ARPES）提供了对这种电子能带结构的直接实验探测，因此被广泛用于功能材料、量子材料和二维材料的研究。\texttt{峰}(\textbf{P}ython\textbf{E}lectron spectroscopy\textbf{A}nalysis by\textbf{K}ing group @\textbf{S}t Andrews) 提供了一个用于ARPES及相关光谱数据高级数据分析的Python包。它促进了多维数据集的快速可视化和分析，允许处理典型的ARPES实验中的复杂数据层次结构，并支持惰性数据加载和并行处理，反映了ARPES中日益增加的数据量。它设计用于在交互式笔记本环境中运行，并提供了广泛的内联和弹出式GUI支持以进行数据可视化。 显示英文摘要

摘要： 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.