Aspects of the time-dependent modulation of galactic cosmic rays throughout a three-dimensional heliosphere
Abstract
A dominant feature in the heliosphere is the heliospheric current sheet, separating regions of opposite
polarity of the heliospheric magnetic field. This structure is dependent on solar activity through the tilt
angle, which increases with increasing solar activity. This alters the waviness of the current sheet, and
thus the region swept out by this structure. One of the four major cosmic-ray modulation mechanisms
in the heliosphere are drifts due to the curvature of, and gradients in, the heliospheric magnetic field,
as well as current sheet drifts. The effect of these particle drifts is known to be reduced by turbulent
magnetic field. This study aims to provide some insight into particle drifts along the wavy current
sheet, in particular how such effects are modelled in numerical galactic cosmic ray modulation codes,
by using an ab initio approach to this problem that models diffusion and turbulence-reduced drift
coefficients from first principles, so that they now depend on basic turbulence quantities. This is done
using a numerical cosmic-ray modulation model that employs a set of stochastic differential equations
to solve the Parker transport equation. Different methods by which current sheet drift effects are
usually modelled in cosmic-ray modulation codes are investigated, and are shown to have a significant
effect on galactic cosmic-ray modulation. At high levels of solar activity, it is demonstrated that if the
drift model takes into account the simultaneous decrease in cosmic-ray Larmor radius with increasing
solar activity parameters, it computes intensities in good qualitative agreement with observations.
Lastly, a novel approach to modelling drift effects due to the heliospheric current sheet is proposed,
and compared with a previous approach to this problem. The novel approach is shown to lead to
an improvement in the qualitative agreement of computed cosmic-ray intensities with spacecraft
observations relative to previously used approaches to modelling this phenomenon.