Fourier-based methods for removing mesh anomalies from angle resolved photoemission spectra

TL;DR

This paper introduces Fourier-based techniques to effectively eliminate mesh-induced artifacts in rapid ARPES measurements, enhancing image quality and providing open-source tools for implementation.

Contribution

It presents novel Fourier-based algorithms for removing mesh artifacts in ARPES data and offers an open-source software package for practical use.

Findings

Fourier methods successfully remove mesh artifacts from ARPES images.

The techniques improve the clarity and accuracy of rapid ARPES measurements.

Open-source software facilitates adoption of the methods.

Abstract

Recent improvements to spatial resolution in angle-resolved photo-emission spectroscopy (ARPES) have made it common to perform measurements with a very brief dwell time, for the purpose of mapping the spectral function over large surface regions. However, rapid measurement modalities can suffer a grid-like intensity modulation due to a wire mesh that is typically placed in front of the ARPES detector to block stray electrons. Here, we explore Fourier-based methods that can effectively remove this artifact, and improve the quality of ARPES images obtained in rapid scanning modes. An open source software package is provided containing implementations of demonstrated algorithms.