*Kunihiro KEIKA1, Pontus C. BRANDT2, Anthony TOIGO2, Demajistre ROBERT2
(1.Solar-Terrestrial Environment Laboratory, Nagoya University, 2.The Johns Hopkins University Applied Physics Laboratory)
Keywords:Plasmasphere, Helium ion density, Inner magnetosphere, Plasma refilling, Forward modeling
We retrieve the spatial distributions of He+ density (nHe+) in the Earth’s plasmasphere from EUV imaging data, by using a forward modeling technique. We use a parametric model for the density distribution to simulate line-of-sight integrated He+ densities (i.e., EUV images), and then find parameters that give the best fit to real EUV images. The parametric model used in this study is described as a function of L and magnetic latitude (λ): nHe+ = n0 (L0/L)alpha_L × (r0/L0 cosλ2)alpha_f, where n0 and L0 are He+ density and L value at the inner boundary of this model (i.e., the topside ionosphere), and αL and αf are parameters that represent L and field-aligned dependence of He+ density, respectively. In this paper, we evaluated how well our forward model can retrieve the He+ density spatial distribution, by performing the following analysis. (1) EUV emission intensities were simulated through the EUV camera response function, given a vantage point of the IMAGE satellite. (2) EUV images were simulated for a large number of (αL, αf) pairs: αL was chosen from 4.0 to 6.0 with 0.1 increment, and αf was from 0.0 to 2.0 with 0.1 increment. (3) The EUV image corresponding to the (αL, αf)=(5.0, 1.0) pair was chosen as our synthetic EUV image. After noise was added to the synthetic image, the forward modeling was applied to all simulated images made in (2). The reduced χ2 (χr2) was used to determine how well simulated image data fit to the synthetic image. The results of this analysis confirm that the He+ density distributions can be retrieved with good certainty within |40 deg.| MLAT. However, beyond this magnetic latitude it is difficult to determine the L dependence or field-aligned dependence of plasmaspheric He+ density. Next, in order to decouple the synthetic data from the parametric formula, we will use density distributions provided by physics-based ionosphere/plasmasphere models as our synthetic data. We will also apply our forward simulation model to real EUV image data from the EUV imager onboard the IMAGE spacecraft.