Revisiting the Ulysses electron data with a triple fit of velocity distributions
Klaus Scherer, Edin Husidic, Marian Lazar, Horst Fichtner

TL;DR
This study reanalyzes Ulysses spacecraft electron data using a triple-fit model with advanced distribution functions to better understand plasma populations and their anisotropies in the solar wind.
Contribution
It introduces a novel triple-component fitting method with anisotropic kappa-distributions to characterize electron populations in the solar wind.
Findings
Suprathermal populations show higher temperature anisotropies than the core.
Anisotropies slightly increase with electron energy.
The method provides detailed insights into electron velocity distributions.
Abstract
Given their uniqueness, the Ulysses data can still provide us with valuable new clues about the properties of plasma populations in the solar wind, and, especially, about their variations with heliographic coordinates. We revisit the electron data reported by by the SWOOPS instrument on-board of the Ulysses spacecraft between 1990 to early 2008. These observations reveal velocity distributions out of thermal equilibrium, with anisotropies (e.g., parallel drifts or/and different temperatures, parallel and perpendicular to the background magnetic field), and quasi-thermal and suprathermal populations with different properties. We apply a 2D nonlinear least square fitting procedure, using the Levenberg-Marquardt algorithm, to simultaneously fit the velocity electron data (up to a few keV) with a triple model combining three distinct populations: the more central quasi-thermal core and…
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