3D ARPES angle scan collection

This repository contains a number of 3D Angle Resolved Photoemission Spectroscopy (ARPES) datasets. Each datasets represents the photoemission intensity (normalized) as function of energy and two crystal momoentum components, I(E,k_x,k_y).

These were all obtained performing "angle-scans", i.e. measuring a series of 2D spectra I(E,theta) and varying the other emission angle (phi). These angle coordinates were then warped into the crystal momentum components, centered at the Gamma point.

These datasets cover 19 material systems:  Au(110), Au(111), Bi2Se3(111), CoO2, on Au(111), CrSBr(001), Graphene on Ir(111), Graphene on Ru(0001), single-layer MoS2 on Au(111), single-layer NbSe2 on bilayer graphene, NdTe3(010), Pd(100), Pd(111), Pt(111), Rb-doped Bi2Se3(111), Ru(0001), P-δ-layer on Si(001), single-layer TaS2 on Au(111), single-layer WS2 on Ag(111) and single-layer WS2on Au(111).

Instructions on how to load and visualize the data are presented in the Jupyter Notebook file load_dataset.ipynb, with helper functions contained in utils.py.

The data here provided was used to produce the images used for training ARPESNet, an autoencoder Neural Network designed to efficiently compress ARPES spectra. The training dataset can be found here: 10.5281/zenodo.12648783

Deatails of the autoencoder and its applications can be found in this publication:

Steinn Ýmir Ágústsson, Mohammad Ahsanul Haque, Thi Tam Truong, Marco Bianchi, Nikita Klyuchnikov, Davide Mottin, Panagiotis Karras, Philip Hofmann; An autoencoder for compressing angle-resolved photoemission spectroscopy data. Mach. Learn.: Sci. Technol. 6 015019 (2025) DOI: 10.1088/2632-2153/ada8f2

Please cite the paper above in case of re-use of these data in a scientific publication.