Novel data analysis techniques in coronal seismology

TL;DR

This paper reviews recent innovative data analysis methods used in coronal seismology, focusing on EUV imaging, wave analysis, and plasma parameter inference to enhance understanding of solar corona dynamics.

Contribution

It provides a comprehensive overview of the latest techniques developed or adapted in the last decade for analyzing coronal wave data and inferring plasma properties.

Findings

Enhanced detection of MHD waves in coronal data

Improved seismological inference of plasma parameters

Identification of common pitfalls in data analysis

Abstract

We review novel data analysis techniques developed or adapted for the field of coronal seismology. We focus on methods from the last ten years that were developed for extreme ultraviolet (EUV) imaging observations of the solar corona, as well as for light curves from radio and X-ray. The review covers methods for the analysis of transverse and longitudinal waves; spectral analysis of oscillatory signals in time series; automated detection and processing of large data sets; empirical mode decomposition; motion magnification; and reliable detection, including the most common pitfalls causing artefacts and false detections. We also consider techniques for the detailed investigation of MHD waves and seismological inference of physical parameters of the coronal plasma, including restoration of the three-dimensional geometry of oscillating coronal loops, forward modelling and Bayesian parameter inference.