2015
DOI: 10.1007/s10509-015-2556-4
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New insights from modeling the neutral heliospheric current sheet

Abstract: Recently, the modulation of cosmic rays in the heliosphere has increasingly been studied by solving the well known transport equation via an approach based on stochastic differential equations. This approach, which is now wellestablished and published, allows for an in depth study of the modulation effects of the wavy heliospheric current sheet, in particular as its waviness increases with solar activity up to extreme maximum conditions. This is possible because of the numerical stability of the approach as we… Show more

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Cited by 16 publications
(14 citation statements)
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References 43 publications
(56 reference statements)
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“…The numerical code is based on Kopp et al (2012), wheredetails about the method and its numerical realization can alsobe found. Equation (1) has to be transferred to a system of Langevin-type equations, which can be found, e.g., in Strauss et al (2012) or Raath et al (2015Raath et al ( , 2016 and consist each of a deterministic convective part and a stochastic diffusive part.…”
Section: Transport Equation and Methods Of Solutionmentioning
confidence: 99%
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“…The numerical code is based on Kopp et al (2012), wheredetails about the method and its numerical realization can alsobe found. Equation (1) has to be transferred to a system of Langevin-type equations, which can be found, e.g., in Strauss et al (2012) or Raath et al (2015Raath et al ( , 2016 and consist each of a deterministic convective part and a stochastic diffusive part.…”
Section: Transport Equation and Methods Of Solutionmentioning
confidence: 99%
“…For a discussion of alternative formulations,see Raath et al (2015). The constant j 0 and the tilt angle α were determined by fitting the analytical configuration to the CRONOS output.…”
Section: The Transport Coefficientsmentioning
confidence: 99%
“…This closing up of the loop between the solutions for the A > 0 and A < 0 polarity cycles that occurs at the theoretical maximum of α = 90 • is a property of our model [12,13]. In this work, we close the loop at a lower value of α = 75 • , since calculations based on observations never show values higher than this (see Figure 4).…”
Section: Pos(icrc2017)039mentioning
confidence: 68%
“…it is inversely proportional to the magnitude of the HMF. The features and properties of the model are discussed in detail by [12,13].…”
Section: Pos(icrc2017)039mentioning
confidence: 99%
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