Data-optimized source modeling with the Backwards Liouville Test–Kinetic method. (October 2018)

• Record Type: Journal Article
• Authors: Woodroffe, J.R.; Brito, T.V.; Jordanova, V.K.; Henderson, M.G.; Morley, S.K.; Denton, M.H.
• Is Part Of: Journal of atmospheric and solar-terrestrial physics. Volume 177(2018)
• Page Start: 125
• Page End: 130
• Publication Date: 2018-10
• Subjects: Geophysics -- Periodicals; Atmospheric physics -- Periodicals; Géophysique -- Périodiques; Météorologie physique -- Périodiques; Electronic journals; 551.51
• DOI: 10.1016/j.jastp.2017.09.010
• Languages: English
• ISSNs: 1364-6826

Abstract

Abstract: In this paper, we discuss the general applicability of the Backwards Liouville Test–Kinetic (BLTK) method to the modeling of time-dependent particle distributions in magnetospheric plasmas. We discuss a new particle tracing model, SHIELDS-PTM, and describe certain novel features of its implementation. Finally, we apply SHIELDS-PTM to highlight a powerful but oft-overlooked feature of the BLTK approach: the invariant trajectories are independent of the quantity being transported, so it is straightforward to optimize source models with undetermined parameters. We demonstrate this by using SHIELDS-PTM to determine the local-time distribution of particle fluxes around geosynchronous orbit using simple models for the electromagnetic fields and statistical models of geosynchronous electron fluxes. We find that optimized source distributions generally provide a far superior result than statistical models of the source region, improving the accuracy of modeled fluxes at some energies by more than an order of magnitude.