ARpest: A GUI-driven ARPES analysis platform

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Authors: Ola Kenji Forslund
Cited by: 1
References: 9

Abstract

Angle resolved photoemission spectroscopy (ARPES) is essential for probing electronic band structures in crystalline materials. However, data analysis remains challenging due to proprietary software, group specific tools or open source alternatives requiring extensive coding knowledge. We present ARpest, an open source GUI-driven ARPES analysis platform that eliminates programming requirements. ARpest features automated metadata extraction from multiple beamline formats, non-destructive processing pipelines with state management and integrated visualisation for 2D-4D datasets. Built with Python/PyQt5 and installable via pip, ARpest provides experimentalists immediate access to commonly used analysis tools, accelerating research and education in ARPES.

Fields of Study & Subjects

Data Visualization and Analytics Software System Performance and Reliability Interactive and Immersive Displays

Publication details

Journal / source
SoftwareX
Publisher
Elsevier BV
Volume
34
Pages
102573–102573
Publication date
23 February 2026
Language
EN