Methods of time series data mining: correlaciones entre espectros de series temporales magnéticas del método empirical mode decomposition para datos de la tierra y el sol.

Abstract

The solar wind is a turbulent plasma that carries the Sun's magnetic field as it expands through interplanetary space. Here, correlations between the measurements of the Parker Solar Probe and Solar Orbiter spacecrafts are studied, in the tracking of a plasma parcel as it evolves radially from the Sun to the surroundings of the Earth. The Empirical Mode Decomposition method is used to filter out high frequencies and reduce the influence of turbulence. Results suggest that time series can be reconstructed with half of the lower frequency oscillatory components and preserve their behavior, performing a good filtering of high frequencies and obtaining significant values in the calculation of their correlation. Furthermore, it was observed the existence of pairs of time intervals, in the time series, whose correlation is high, and which are related to data of the same plasma.