Data Analysis Techniques for Resolving Nonlinear Processes in Plasmas : a Review
T. Dudok de Wit

TL;DR
This review discusses advanced data analysis techniques used to understand nonlinear wave phenomena and turbulence in space plasmas, highlighting recent applications and the importance of these methods in plasma physics research.
Contribution
It provides a comprehensive overview of data analysis methods tailored for nonlinear plasma processes, emphasizing recent developments and applications in space plasma studies.
Findings
Enhanced understanding of nonlinear wave phenomena in space plasmas
Application of advanced data analysis techniques to turbulence studies
Identification of key properties in plasma data sets
Abstract
The growing need for a better understanding of nonlinear processes in plasma physics has in the last decades stimulated the development of new and more advanced data analysis techniques. This review lists some of the basic properties one may wish to infer from a data set and then presents appropriate analysis techniques with some recent applications. The emphasis is put on the investigation of nonlinear wave phenomena and turbulence in space plasmas.
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Taxonomy
TopicsChaos control and synchronization · Complex Systems and Time Series Analysis · Solar and Space Plasma Dynamics
