Plasma Wave Identification in Multi-Spacecraft Data Using the Eigenstructure of the Cross Spectral Density Matrix

Details Plasma Wave Identification in Multi-Spacecraft Data Using the Eigenstructure of the Cross Spectral Density Matrix Plasma Wave Identification in Multi-Spacecraft Data Using the Eigenstructure of the Cross Spectral Density Matrix

Dec 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003agufmsm42e..02v&link_type=abstract

American Geophysical Union, Fall Meeting 2003, abstract #SM42E-02

Computer Science

Performance

2752 Mhd Waves And Instabilities, 2794 Instruments And Techniques

Scientific paper

Data from multi-spacecraft missions offer the possibility to study plasma processes by means of, both, their temporal and spatial characteristics. This is of particular importance in plasma wave analyses where good frequency and wave vector estimates are needed to test dispersion relations. Here we focus on data from ESA's Cluster-II mission. Analysis methods like the wave telescope or k-filtering technique originally developed for seismic arrays have been generalized and applied to Cluster-II data. This report presents a wave identification method based on the eigendecomposition of the cross spectral density matrix. The method is expected to facilitate the detection of plasma waves and should be well suited for routine analyses of large data sets. Furthermore, the eigenstructure of the cross spectral density matrix allows to compare the method presented here with already existing techniques, and to construct performance measures. Estimation of the complete set of parameters of plane wave sources helps to reconstruct wave fields and to carry out polarization analyses.

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