Identification of linear and nonlinear processes in space plasma turbulence data

Computer Science

Scientific paper

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Scientific paper

Experimental data acquired using multi-point measurements of space plasma turbulence enables not only the determination of the composition of the plasma turbulence but also the identification of quantitative characteristics of processes involved in the dynamics of the turbulence. Various data analysis methods that have been developed to extract such information from multi-satellite missions are compared. The advantages and pitfalls of these are discussed.

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