Statistical analysis of non-Maxwellian electron distribution functions measured with angularly resolved Thomson scattering

2021 ◽  
Vol 28 (8) ◽  
pp. 082102
Author(s):  
A. L. Milder ◽  
J. Katz ◽  
R. Boni ◽  
J. P. Palastro ◽  
M. Sherlock ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Electron Distribution ◽  
Thomson Scattering ◽  
Distribution Functions

Calculation of spatially inhomogeneous electron distribution functions

1998 ◽  
Vol 08 (PR7) ◽  
pp. Pr7-33-Pr7-42
Author(s):  
L. L. Alves ◽  
G. Gousset ◽  
C. M. Ferreira
Keyword(s):  
Electron Distribution ◽  
Distribution Functions ◽  
Spatially Inhomogeneous

Nonequilibrium phonon dynamics and electron distribution functions in InP and InAs

1996 ◽  
Vol 53 (15) ◽  
pp. 9847-9851 ◽  
Author(s):  
E. D. Grann ◽  
K. T. Tsen ◽  
D. K. Ferry
Keyword(s):  
Electron Distribution ◽  
Distribution Functions ◽  
Phonon Dynamics

Electron Distribution Functions in a Sputtering Magnetron Discharge

1995 ◽  
Vol 34 (Part 1, No. 9A) ◽  
pp. 4977-4982 ◽  
Author(s):  
T. E. Sheridan ◽  
M. J. Goeckner ◽  
J. Goree
Keyword(s):  
Electron Distribution ◽  
Distribution Functions ◽  
Magnetron Discharge

A Global Survey of Geospace Electrons with eVlasiator: First Results

2021 ◽  
Author(s):  
Markku Alho ◽  
Markus Battarbee ◽  
Yann Pfau-Kempf ◽  
Urs Ganse ◽  
Lucile Turc ◽  
...  
Keyword(s):  
Solar Wind ◽  
Spatial Resolution ◽  
Kinetic Models ◽  
Electron Distribution ◽  
State Of The Art ◽  
Distribution Functions ◽  
Upper Atmosphere ◽  
Electron Precipitation ◽  
Gas Dynamic ◽  
First Results

<div> <p>Models of the geospace plasma environment have been proceeding towards more realistic descriptions of the solar wind—magnetosphere interaction, from gas-dynamic to MHD and hybrid ion-kinetic models such as the state-of-the-art Vlasiator model. Advances in computational capabilities have enabled global simulations of detailed physics, but the electron scale has so far been out of reach in a truly global setting. </p> </div><div> <p>In this work we present results from eVlasiator, an offshoot of the Vlasiator model, showing first results from a global 2D+3V kinetic electron geospace simulation. Despite truncation of some electron physics and use of ion-scale spatial resolution, we show that realistic electron distribution functions are obtainable within the magnetosphere and describe these in relation to MMS observations. Electron precipitation to the upper atmosphere from these velocity distributions is estimated.</p> </div>

scholarly journals Statistical Analysis of Bistatic Radar Ground Clutter for Different German Rural Environments

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3311
Author(s):  
Michael Kohler ◽  
Daniel W. O’Hagan ◽  
Matthias Weiss ◽  
David Wegner ◽  
Josef Worms ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Measurement Data ◽  
Distribution Functions ◽  
Statistical Properties ◽  
Cumulative Distribution ◽  
Center Frequency ◽  
Rural Environment ◽  
Bistatic Radar ◽  
Ground Clutter ◽  
Rural Environments

This article presents the statistical analysis of bistatic radar rural ground clutter for different terrain types under low grazing angles. Compared to most state-of-the-art analysis, we present country-specific clutter analysis for subgroups of rural environments rather than for the rural environment as a whole. Therefore, the rural environment analysis is divided into four dominant subgroup terrain types, namely fields with low vegetation, fields with high vegetation, plantations of small trees and forest environments representing a typical rural German environment. We will present the results for both the summer and the winter vegetation. Therefore, bistatic measurement campaigns have been carried out during the summer 2019 and the winter of 2019/20 in the aforementioned four different rural terrain types. The measurements were performed in the radar relevant X-band at a center frequency of 8.85 GHz and over a bandwidth of 100 MHz according to available transmit permission. The distinction of the rural terrain into different subgroups enables a more precise and accurate clutter analysis and modeling of the statistical properties as will be shown in the presented results. The statistical properties are derived from the calculated clutter amplitudes probability density functions and corresponding cumulative distribution functions for each of the four terrain types and the corresponding season. The data basis for the clutter analysis are the processed range-Doppler maps from the bistatic radar measurements. According to the authors’ current knowledge, a similar investigation based on real bistatic radar measurement data with the division into terrain subgroups has not yet been carried out and published for a German rural environment.

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