Inversion of the Earth's Plasmaspheric Density Distribution from EUV Images with Genetic Algorithm

Abstract

AbstractThe principles for inversion of plasmaspheric He+ density from the extreme ultraviolet images of the Earth's plasmasphere with one‐dimensional genetic algorithm are introduced. The three‐dimensional problem is transformed into one‐dimensional case through flux tube approximation and dipole magnetic field approximation. With a weighted matrix, the extreme ultraviolet intensity integration equation is discretized into linear equation systems, then the one‐dimensional real‐coded genetic algorithm is used to inverse the equatorial plane plasmaspheric He+ density, and finally the three‐dimensional density is obtained by magnetic field line tracing. The density and intensity simulated by the dynamic global core plasma model are used as the primary input parameters, and the corresponding density distribution is determined through genetic iterations. The results show that the relative density error is less than 8% and the relative intensity error tends to be zero, which proves that our algorithm is effective and feasible. The result of this work will provide a basis for the inversion of the moon‐based EUV images in the Second Phase of Chinese Lunar Exploration Program.