dc.contributor.authorDíaz Palencia, José Luis
dc.date.accessioned2025-01-14T13:43:27Z
dc.date.available2025-01-14T13:43:27Z
dc.date.issued2025-01-02
dc.identifier.issn2504-3110
dc.identifier.urihttp://hdl.handle.net/20.500.12226/2717
dc.description.abstractCosmic rays exhibit anomalous diffusion behaviors in the heliospheric environment that cannot be adequately described by classical diffusion models. In this paper, we develop a theoretical framework employing a fractional Fokker–Planck equation to model the anomalous transport of cosmic rays. This approach accounts for the observed non-Gaussian distributions, long-range correlations and memory effects in cosmic ray fluxes. We derive analytical solutions using the Adomian Decomposition Method and express them in terms of Mittag-Leffler functions and Lévy stable distributions. The model parameters, including the fractional orders 𝛼����� and 𝜇����� and the entropic index q, are estimated by a short comparison between theoretical predictions and observational data from cosmic ray experiments. Our findings suggest that the integration of fractional calculus and non-extensive statistics can be employed for describing the cosmic ray propagation and the anomalous diffusion observed in the heliosphere.es
dc.language.isoeses
dc.rightsAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.titleModeling Anomalous Transport of Cosmic Rays in the Heliosphere Using a Fractional Fokker–Planck Equationes
dc.typearticlees
dc.description.course2024-25es
dc.identifier.doi10.3390/fractalfract9010024
dc.issue.number1es
dc.journal.titleFractal and Fractionales
dc.publisher.facultyFacultad de Ciencias de la Educaciónes
dc.publisher.group(GI-23/11) Grupo de investigación en Matemáticas aplicadas, educación y su difusión social (GINMAED)es
dc.rights.accessRightsopenAccesses
dc.subject.keywordcosmic rayses
dc.subject.keywordanomalous diffusiones
dc.subject.keywordfractional calculuses
dc.subject.keywordTsallis statisticses
dc.volume.number9es
dc.indice.jcrQ1


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