Physics – Plasma Physics
Scientific paper
Jun 1996
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996jgr...10113195a&link_type=abstract
Journal of Geophysical Research, Volume 101, Issue A6, p. 13195-13214
Physics
Plasma Physics
19
Magnetospheric Physics: Plasma Waves And Instabilities, Magnetospheric Physics: Instruments And Techniques, Space Plasma Physics: Experimental And Mathematical Techniques, Space Plasma Physics: Waves And Instabilities
Scientific paper
Polarization characteristics of magnetospheric proton cyclotron waves should provide definitive tests of mechanisms for wave propagation and growth. Previous studies used Fourier spectral analysis to determine the ellipticity ɛ and the minimum variance direction êmin, which gives θmin, the angle between êmin and the background field B0. Comparison with theoretical models depends critically on accurate determination of ɛ and θmin. However, observed fluctuations might not be sets of phase-coherent sine waves, as implicitly assumed in Fourier analysis, but may consist of series of packets whose phase and azimuthal orientation vary randomly. By constructing synthetic nonstationary signals, we find that spectral analysis of data intervals containing several wave packets systematically underestimates θmin, often by 45° or more, and overestimates |ɛ|. The problem is caused by fluctuations in the polarization ellipse azimuth orientation. We present a minimum variance analysis technique, called wave-step analysis, which requires only a few wave cycles of data. Tests of the wave-step procedure show that it is valid for signals with bandwidths up to ~30% full width at half maximum and is therefore applicable to the majority of proton cyclotron wave events. Comparison of the wave-step and Fourier analyses for cyclotron wave events confirms that cyclotron wave fluctuations display features characteristic of nonstationary signals. Relative to the wave-step results, the Fourier results underestimate θmin, overestimate |ɛ|, and display the predicted variations of these parameters with each other and with azimuth angle fluctuations. The opposite relationship between Fourier and wave-step θmin should result if the signals were too broadbanded for the wave-step algorithm. Thus the θmin results provide an unambiguous indication of nonstationarity. Time windows of 30 s proved to be too long for analysis of ~0.5 Hz signals, indicating that analysis needs to be carried out on timescales shorter than tens of wave periods. Previous analyses reported θmin<=30°, but the wave-step results for one linearly polarized event analyzed here show that θmin can be larger than 70°.
Anderson Benjamin J.
Denton Richard E.
Fuselier Stephen A.
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