Tomographic Reconstruction of Plasmasphere Density via Latitude Variation Model Parameter Recovery

Details Tomographic Reconstruction of Plasmasphere Density via Latitude Variation Model Parameter Recovery Tomographic Reconstruction of Plasmasphere Density via Latitude Variation Model Parameter Recovery

Dec 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agufmsm13a0309w&link_type=abstract

American Geophysical Union, Fall Meeting 2005, abstract #SM13A-0309

Physics

0520 Data Analysis: Algorithms And Implementation, 2768 Plasmasphere, 2799 General Or Miscellaneous

Scientific paper

A new method for reconstructing the density of plasma throughout the terrestrial plasmasphere is introduced. The method is a tomographic approach that utilizes a series of NASA IMAGE Extreme Ultra Violet (EUV) images collected over a short time span. The reconstruction recovers positional densities through a robust fitting process that determines parameters of a latitudinally varying model of the plasma density distribution. This nonlinear model, proposed by Huang et. al. (2004), is based on observation in IMAGE RPI data and requires determination of 5 parameters for each magnetic meridian plane. The fitting process uses Levenberg-Marquardt based nonlinear least squares to determine the set of parameters based on the series of image views, and from these parameters, the plasmaspheric plasma distribution is then estimated. Results on clean synthetic data suggest a recovery error of less than 1%. Tests on real EUV data suggest about a 5% error in recovery. The appearance characteristics of recovered plasma distributions also are visually well-correlated with real EUV data.

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