Enhanced resolution in Argon and Neon spectra using a Super-Resolution algorithm

TL;DR

This paper demonstrates a super-resolution algorithm based on L1-Norm minimization that significantly enhances spectral resolution in Neon and Argon spectra, enabling the resolution of previously indistinguishable peaks.

Contribution

The paper introduces a super-resolution technique applied to spectroscopic data, achieving a 70-fold linewidth reduction and discussing its potential for broader spectroscopy applications.

Findings

70-fold linewidth reduction achieved

Further resolution improvements limited by signal-to-noise ratio

Super-resolution technique applicable to various spectroscopic methods

Abstract

This paper presents the principles and application of a super-resolution (SR) technique, based on a L1-Norm minimization procedure. In particular, the technique is applied to improve low-resolution resolution spectra as obtained from the optogalvanic effect in Neon and Argon discharges over the 413-423 nm wavelength range. By applying the super-resolution algorithm to the experimental data, a surprising 70-fold reduction of the linewidth is achieved allowing to resolve prior indistinguishable peaks. It is found that further improvements on the resolution are limited by the signal to noise ratio of the original spectra. The importance of a suitable mathematical representation of the experiment and the discussion on other applications of this super-resolution technique in spectroscopy are also presented.