Data Mining and Visulization in Empirical and Physical Radiation Belt Studies

Empirical modeling of the radiation belt faces difficulties of organizing and data-mining large amount of multi-dimensional (in energy and space) satellite observations. Physical modeling of radiation belt faces the need to visualize and understand particle behavior in the context of global magnetospheric evolution. We have developed several approaches to address these challenges. For empirical modeling of the radiation belt, we will introduce magnetospheric state-based modeling tools which can be used to data-mine space science dataset by geophysical conditions. 3D volume visualizations are used to organize multi-satellite observed particle flux together with magnetic field shell obtained from emperical models. This makes it possible to access multi-dimensional energetic particle data, e.g. adiabatic invariant coordinates, energy, pitch angle and flux, in the context of global magnetosphere. For physical modeling of radiation belt, we will show examples of integrated view of 3D relativistic particles (electron and proton) behavior in global MHD simulations during magnetospheric substorm. Ways to quantify and visualize dependences of trapping, Shabansky orbit and lost regions of particles on initial particle pitch angle and location will be discussed.