2011
DOI: 10.1088/0004-637x/735/2/83
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Modeling the Modulation of Galactic and Jovian Electrons by Stochastic Processes

Abstract: We present a newly developed numerical modulation model to study the transport of galactic and Jovian electrons in the heliosphere. The model employs stochastic differential equations (SDEs) to solve the corresponding transport equation in five dimensions (time, energy, and three spatial dimensions) which is difficult to accomplish with the numerical schemes used in finite difference models. Modeled energy spectra for galactic electrons are compared for the two drift cycles to observations at Earth. Energy spe… Show more

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Cited by 107 publications
(152 citation statements)
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“…For a pseudo-particle in position (r, θ, φ) and momentum p, the stochastic differential equations equivalent to Equation (1) have the form (Zhang 1999;Pei et al 2010b;Strauss et al 2011a;Kopp et al 2012)…”
Section: Methodsmentioning
confidence: 99%
“…For a pseudo-particle in position (r, θ, φ) and momentum p, the stochastic differential equations equivalent to Equation (1) have the form (Zhang 1999;Pei et al 2010b;Strauss et al 2011a;Kopp et al 2012)…”
Section: Methodsmentioning
confidence: 99%
“…Mentioning only a few examples, a starting point for heliospheric studies of this kind can be found in the paper by Zhang (1999) where he applied the method to CR modulation. More recently, Pei et al (2010) and Strauss et al (2011) have applied SDEs in a more comprehensive heliospheric model. Farahat et al (2008) employed SDEs for a CR propagation study in the Galaxy and, e.g., Marcowith & Kirk (1999), as well as Achterberg & Schure (2011) calculated the shock acceleration of energetic particles.…”
Section: The Numerical Solution Methods Based On Stochastic Differentimentioning
confidence: 99%
“…We only apply the backward method in this study, since it is well-suited to the given problem. For more details on the numerical scheme and especially on determining the root of the diffusion tensor, we refer the reader to Kopp et al (2012) and Strauss et al (2011) where the basis of the code used in this study is discussed in greater detail. Exemples of pseudo-particle trajectories are shown in Fig.…”
Section: The Numerical Solution Methods Based On Stochastic Differentimentioning
confidence: 99%
“…Since during the high activity period the heliospheric magnetic field is far from being considered regular, in this work we introduced a correction factor that suppresses any drift velocity at solar maximum. For the sake of completeness we should note that the presence of turbulence in the interplanetary medium should reduce the global effect of CR drift in the heliosphere (see, e.g., discussion in Minnie et al 2007) and this is usually incorporated introducing a drift suppression factor (see, e.g., Strauss et al 2011) that is effective at rigidity below 1 GV. We compute the CR propagation from the Termination Shock (TS) down to the Earth orbit using a Monte Carlo approach, i.e., the HelMod Monte Carlo code (Bobik et al 2012) that solves the two-dimensional Parker equation for CR transport through the heliosphere.…”
Section: Markov Chain Monte Carlomentioning
confidence: 99%
“…Jokipii et al 1977;Jokipii & Kopriva 1979;Potgieter & Moraal 1985;Boella et al 2001;Strauss et al 2011;Della Torre et al 2012;Bobik et al 2013a,b). A low solar activity period between cycles 23 and 24 was recently studied by the PAMELA instrument (see e.g.…”
Section: Low Solar Activitymentioning
confidence: 99%