Statistical Uncertainties of Space Plasma Properties Described by Kappa Distributions

The velocities of space plasma particles often follow kappa distribution functions, which have characteristic high energy . The of these distributions are associated with low particle flux and, therefore, it is challenging to precisely resolve them in plasma measurements. On the other hand, the accu...

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Bibliographic Details
Published in:	Entropy (Basel, Switzerland) Switzerland), 2020-05, Vol.22 (5), p.541
Main Authors:	Nicolaou, Georgios, Livadiotis, George
Format:	Article
Language:	eng
Subjects:	Computer simulation Confidence intervals Distribution functions Energy kappa distributions Maximum likelihood method methods Parameter uncertainty Plasma plasmas Simulation Space plasmas Statistical analysis Studies Velocity Velocity distribution
Online Access:	Get full text
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Summary:	The velocities of space plasma particles often follow kappa distribution functions, which have characteristic high energy . The of these distributions are associated with low particle flux and, therefore, it is challenging to precisely resolve them in plasma measurements. On the other hand, the accurate determination of kappa distribution functions within a broad range of energies is crucial for the understanding of physical mechanisms. Standard analyses of the plasma observations determine the plasma bulk parameters from the statistical moments of the underlined distribution. It is important, however, to also quantify the uncertainties of the derived plasma bulk parameters, which determine the confidence level of scientific conclusions. We investigate the determination of the plasma bulk parameters from observations by an ideal electrostatic analyzer. We derive simple formulas to estimate the statistical uncertainties of the calculated bulk parameters. We then use the forward modelling method to simulate plasma observations by a typical top-hat electrostatic analyzer. We analyze the simulated observations in order to derive the plasma bulk parameters and their uncertainties. Our simulations validate our simplified formulas. We further examine the statistical errors of the plasma bulk parameters for several shapes of the plasma velocity distribution function.
ISSN:	1099-4300 1099-4300