The analysis of 6-component measurements of a random electromagnetic wave field in a magnetoplasma - I. The direct problem

Storey, L. R. O.; Lefeuvre, F.

doi:10.1111/j.1365-246x.1979.tb00163.x

Cited by 92 publications

(54 citation statements)

References 16 publications

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“…5). The analysis for the wave distribution function can be implemented in single-spacecraft measurements (Storey andLefeuvbre, 1979, 1980;Lefeuvre et al, 1982;Oscarsson andRönnmark, 1989, 1990;Oscarsson, 1994;Oscarsson et al, 2001;Santolik and Parrot, 1996). The analysis needs the field data (either electric or magnetic field) and the dispersion relation for the linear Vlasov theory such as the WHAMP code (linear Vlasov dispersion solver) (Rönnmark, 1982(Rönnmark, , 1983.…”

Section: Wave Distribution Functionmentioning

confidence: 99%

Review article: Wave analysis methods for space plasma experiment

Narita

2017

Nonlin. Processes Geophys.

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Abstract. A review of analysis methods is given on quasimonochromatic waves, turbulent fluctuations, and wavewave and wave-particle interactions for single-spacecraft data in situ in near-Earth space and interplanetary space, in particular using magnetic field and electric field data. Energy spectra for different components of the fluctuating fields, minimum variance analysis, propagation and polarization properties of electromagnetic waves, wave distribution function, helicity quantities, higher-order statistics, and detection methods for wave-particle interactions are explained.

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Section: Wave Distribution Functionmentioning

confidence: 99%

Review article: Wave analysis methods for space plasma experiment

Narita

2017

Nonlin. Processes Geophys.

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“…Therefore we present [Thorne et al, 1973]. It is widely thought that the hiss have studied the data by means of wave distribution function waves get their energy from gyroresonant interaction with the (WDF) analysis [Storey and Lefeuvre, 1979], which is able to electrons of the inner radiation belt near the plane of the mag-distinguish between waves going in different directions. netic equator [Kennel and Petschek, 1966].…”

Section: Introductionmentioning

confidence: 99%

Propagation analysis of plasmaspheric hiss using Polar PWI measurements

Santolı́k¹,

Parrot²,

Storey³

et al. 2001

Geophysical Research Letters

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Abstract. We have analyzed high-rate waveform data, taken Storey et al. [1991] however observed hiss emissions even by the POLAR Plasma Wave Instrument at high altitudes in when, after long periods of magnetic calm, the plasmapause the equatorial plasmasphere, to study plasmaspheric hiss in the was absent. They also found that the waves often propagate at range of frequencies between 100 Hz and several kHz. These large angles from B0, even in the equatorial region. This means emissions are found almost everywhere in the plasmasphere, these waves cannot be generated exactly in the way Kennel and their origin is still controversial. Our analysis of several and Petschek [1966] suggested. These results do not directly cases shows that most of the waves were propagating more or contradict the theory of Thorne et al. [ 1973, 1979], but they do less parallel to the Earth's magnetic field, but sometimes a few suggest that under certain circumstances some other mechanism of them were propagating obliquely with their normals near may be acting. Indeed, highly oblique wave propagation fits a the Gendrin angle. Evidence of amplification was found near theory developed by Draganov et al.

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“…We propose the application of the wave distribution function to address this problem. The wave distribution function proposed by Storey and Lefeuvre [5,6] assigns a relationship by a numerical formula between the electromagnetic field component of the arriving waves at the observation point and the energy density distribution with respect to the arrival angles of the arriving waves. However, this numerical formula cannot be analytically solved because it consists of nonlinear simultaneous equations.…”

Section: Introductionmentioning

confidence: 99%

Study on direction finding method using wave distribution function with Gaussian distribution model

Goto

Kasahara

Sato

2002

Electron. Comm. Jpn. Pt. I

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SUMMARYThe analysis of plasma waves propagating through the geomagnetosphere provides clues for understanding the medium information in wave generation and propagation processes. It is particularly important to understand the propagation characteristics of the waves in direction finding. In this research, we developed a novel algorithm based on the wave distribution function which is a direction finding method for the electromagnetic waves that satisfies dispersion relations in plasmas, and evaluated the method by using simulated data. Since direction finding by the wave distribution function is a so-called inverse problem, some conventional model was assumed to find the optimum solution. In order to achieve more accurate estimation, in this paper, we report on an algorithm that introduces a discretization method and an integration method that fully utilizes the parameters and model features in the Gaussian distribution model, which is, in principle, the most effective model in the point that it has physically meaningful parameters. As the fitting preprocess for finding the solution, we propose an estimation method for approximate distribution by employing the concept of the energy function, and demonstrate its usefulness in discriminating waves having non-Gaussian distributions and in determining the initial parameters of the fitting by Gaussian distributions.

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The analysis of 6-component measurements of a random electromagnetic wave field in a magnetoplasma - I. The direct problem

Cited by 92 publications

References 16 publications

Review article: Wave analysis methods for space plasma experiment

Review article: Wave analysis methods for space plasma experiment

Propagation analysis of plasmaspheric hiss using Polar PWI measurements

Study on direction finding method using wave distribution function with Gaussian distribution model

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