Novel Data Analysis Techniques in Coronal Seismology

Sergey A. Anfinogentov, Patrick Antolin, Andrew R. Inglis, Dmitrii Kolotkov, Elena G. Kupriyanova, James A. McLaughlin, Giuseppe Nisticò, David J. Pascoe, S. Krishna Prasad, Ding Yuan

Research output: Contribution to journalReview articlepeer-review

2 Citations (Scopus)

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.
Original languageEnglish
Article number9
Number of pages54
JournalSpace Science Reviews
Volume218
Issue number3
Early online date18 Mar 2022
DOIs
Publication statusPublished - 1 Apr 2022

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