EGU23-16967, updated on 26 Feb 2023
https://doi.org/10.5194/egusphere-egu23-16967
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

A new approach to modeling galactic cosmic rays in the heliosphere using arbitrary data driven MHD backgrounds

Vladimir Florinski1, Juan Alonso Guzman1, Merav Opher2, and Keyvan Ghanbari1
Vladimir Florinski et al.
  • 1University of Alabama in Huntsville, Space Science, Huntsville, United States of America (vaf0001@uah.edu)
  • 2Boston University, Boston, United States of America (mopher@bu.edu)

The Voyager space probes provided us with a global perspective on galactic cosmic ray transport through the heliosphere at low to moderate heliographic latitudes, as well as their behavior at the boundary with the very local interstellar medium (VLISM). There remain, however, multiple interesting region the Voyagers have not visited, including high latitudes and the distant flanks of the heliopause where long-term trapping of charged particles is though to take place. We attempt to fill the gaps in our understanding of the distant heliosphere using computer simulations. The Space Plasma and Energetic Charged particle TRansport on Unstructured Meshes (SPECTRUM) code is a versatile software platform to perform tracing of particle trajectories using multiple physics models and internal or externally provided MHD background data. We apply the model to the problem of galactic cosmic ray transport in the outer heliosphere and the surrounding very local interstellar medium (VLISM) using the MHD background provided on a adaptive block mesh from the Space Weather Modeling Framework (SWMF). We compare the guiding center and nearly isotropic (Parker) physics models and elucidate the role of perpendicular diffusion in cosmic-ray penetration through the heliospheric boundary.

How to cite: Florinski, V., Alonso Guzman, J., Opher, M., and Ghanbari, K.: A new approach to modeling galactic cosmic rays in the heliosphere using arbitrary data driven MHD backgrounds, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-16967, https://doi.org/10.5194/egusphere-egu23-16967, 2023.