Novel Data Analysis Techniques in Coronal Seismology
Novel Data Analysis Techniques in Coronal Seismology
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DOI：
10.1007/s11214-021-00869-w
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发表时间：
2021-12
影响因子：
10.3
通讯作者：
S. Anfinogentov;P. Antolin;A. Inglis;D. Kolotkov;E. Kupriyanova;J. McLaughlin;G. Nisticò;D. Pascoe-D.-Pa
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文献类型：
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作者：
S. Anfinogentov;P. Antolin;A. Inglis;D. Kolotkov;E. Kupriyanova;J. McLaughlin;G. Nisticò;D. Pascoe-D.-Pa
我们回顾新的数据分析技术开发或适用于日冕地震学领域。我们专注于从过去十年的方法，开发了极紫外（EUV）成像观测的日冕，以及从无线电和X射线的光变曲线。该审查涵盖的方法分析的横波和纵波;频谱分析的振荡信号的时间序列;自动检测和处理的大型数据集;经验模式分解;运动放大;和可靠的检测，包括最常见的陷阱造成的文物和错误的检测。我们还考虑技术的详细调查的MHD波和地震学的日冕等离子体的物理参数的推断，包括恢复的三维几何形状的振荡日冕环，正演建模和贝叶斯参数推断。
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.