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dc.contributor.authorIvaschenko, Alex
dc.contributor.authorSpanier, Felix
dc.contributor.authorGanse, Urs
dc.date.accessioned2018-09-03T13:18:32Z
dc.date.available2018-09-03T13:18:32Z
dc.date.issued2015
dc.identifier.citationIvascenko, A. et al. 2015. New method for determination of diffusion coefficients in turbulent plasmas. The 34th International Cosmic Ray Conference, 30 July-6 August, The Hague, The Netherlands. Proceedings of science, 236: Article no 208. [https://doi.org/10.22323/1.236.0208]en_US
dc.identifier.issn1824-8039 (Online)
dc.identifier.urihttp://hdl.handle.net/10394/30879
dc.identifier.urihttps://doi.org/10.22323/1.236.0208
dc.identifier.urihttps://pos.sissa.it/236/208/pdf
dc.description.abstractThe transport of charged particles in turbulent magnetic fields is a topic of great interest in as- trophysics, since our ability to successfully use cosmic rays as astronomic messengers depends on our understanding of the transport processes. One of the primary effects is the scattering of particles on magnetic irregularities leading in the first instance to a change in the pitch angle μ of the particle. Further transport parameters e.g. diffusion coefficients or the mean free path can then be inferred from ∆ μ . We introduce new numerical methods to evaluate the pitch angle diffusion coefficient D μ μ and the perpendicular diffusion coefficient D ⊥ that work well in both weak and strong turbulence scenarios and compare with analytic results from Quasi Linear Theory. We present results obtained by applying these methods to test-particle data from simulation of heliospheric conditions with our spectral MHD code Gismo. The results are then compared to test-particle simulations of the novel Perlin-noise-type pseudo-turbulence to show its viability for large-scale particle transport simulationsen_US
dc.language.isoenen_US
dc.publisherSissa Medialaben_US
dc.titleNew method for determination of diffusion coefficients in turbulent plasmasen_US
dc.typePresentationen_US
dc.contributor.researchID24790052 - Ivascenko, Alex
dc.contributor.researchID25161814 - Spanier, Felix Alexander


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