Study of cosmic rays diffusion in anisotropic turbulent fields generated by the BxC toolkit

While numerical simulations are the standard tool for investigating turbulence, their significant computational cost often limits the range of feasible studies. To overcome this limitation, synthetic turbulence models have been developed, generating turbulent fields at a fraction of the computational cost. Here we focused on the BxC toolkit, a Python-implemented algorithm that combines analytical formulas and geometric considerations. Among other characteristics, recent code developments enable the modeling of anisotropic turbulence and structured turbulent configurations.

This work focuses on the study of cosmic rays diffusion in anisotropic turbulent magnetic fields, as generated by BxC. In order to perform test-particles simulations, we employ MPI-AMRVAC, a parallelized, finite-volume solver for partial differential equations, which offers a specialized test-particles module.

The presentation will provide the audience with an overview of the combined BxC and MPI-AMRVAC framework, highlighting its key advantages and potential future applications. Particular emphasis will be placed on the results of the cosmic ray diffusion study, demonstrating the practical capabilities of BxC and giving new insights into the influence of anisotropy on the particles diffusion process.