2018
DOI: 10.1016/j.asr.2017.04.017
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Propagation of cosmic rays in heliosphere: The HelMod model

Abstract: The heliospheric modulation model HelMod is a two dimensional treatment dealing with the helio-colatitude and radial distance from Sun and is employed to solve the transport-equation for the GCR propagation through the heliosphere down to Earth. This work presents the current version 3 of the HelMod model and reviews how main processes involved in GCR propagation were implemented. The treatment includes the so-called particle drift effects -e.g., those resulting, for instance, from the extension of the neutral… Show more

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Cited by 67 publications
(64 citation statements)
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References 159 publications
(290 reference statements)
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“…It defines the global behavior of the modulation of the particle flux in the heliosphere and its dependence on time reflects the variations of properties of the interplanetary medium (like the actual solar magnetic field transported by SW and its turbulence) during the different phases of solar cycles (e.g., see Equation 4 in Manuel et al 2014). K 0 is expressed in terms of the monthly Smoothed Sunspot Numbers (SSN); such a relationship was demonstrated to be adequate for the description on how the diffusion parameter depends on solar activity and polarity 15 (see also discussion in Section 2.3 of Boschini et al 2017). Therefore, the effective modulation experienced by CRs is related to the solar activity and polarity of the magnetic field.…”
Section: Markov Chain Monte Carlomentioning
confidence: 99%
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“…It defines the global behavior of the modulation of the particle flux in the heliosphere and its dependence on time reflects the variations of properties of the interplanetary medium (like the actual solar magnetic field transported by SW and its turbulence) during the different phases of solar cycles (e.g., see Equation 4 in Manuel et al 2014). K 0 is expressed in terms of the monthly Smoothed Sunspot Numbers (SSN); such a relationship was demonstrated to be adequate for the description on how the diffusion parameter depends on solar activity and polarity 15 (see also discussion in Section 2.3 of Boschini et al 2017). Therefore, the effective modulation experienced by CRs is related to the solar activity and polarity of the magnetic field.…”
Section: Markov Chain Monte Carlomentioning
confidence: 99%
“…The NMCR allows us to account for short-time and large-scale variations occurring during the high solar activity periods, and thus to rescale the diffusion parameter accordingly. However, the usage of NMCR during the low solar activity periods does not result in an appreciable difference, thus we keep using SSN (Boschini et al 2017) as the activity indicator for such periods.…”
Section: Markov Chain Monte Carlomentioning
confidence: 99%
“…Spatial diffusion, convection with the solar wind, drifts, and adiabatic cooling are the main mechanisms that determine transport of CRs to the inner heliosphere. These effects have been incorporated into realistic (time-dependent, three-dimensional) models (e.g., Florinski et al 2003;Langner et al 2006;Potgieter & Langner 2004;Boschini et al 2017). The "forcefield" approximation that is ordinarily used (Gleeson & Axford 1968), instead characterises the modulation effect as it varies over the solar cycle using a single parameter -the "modulation potential".…”
Section: Introductionmentioning
confidence: 99%
“…However, Ndiitwani et al (2013) did not consider the variations of solar wind speed. Recently, Boschini et al (2017) used a 2D heliospheric modulation (HelMod, e.g., Bobik et al 2012Bobik et al , 2013 model to study the modulation of GCR during solar cycles 23 and 24. In their model, the heliosphere was divided into polar and equatorial regions, the modified Parker spiral HMF (Jokipii & Kota 1989) and the Parker spatial HMF (Parker 1958) were used in polar and equatorial regions, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…They used a parameter K 0 to describe the time dependence of diffusion coefficients. Bobik et al (2012) discussed the relationship between K 0 and the modulation strength given by the force-field model (FFM, see e.g., Gleeson & Axford 1968;Gleeson & Urch 1971), and Boschini et al (2017) derived K 0 using modulation strength data from Usoskin et al (2011). For periods of low solar activity, it was divided into ascending and descending phases for both negative and positive solar magnetic field polarities, and different polynomial equations were used to describe the relationship between K 0 and the sunspot numbers.…”
Section: Introductionmentioning
confidence: 99%