The cosmic rays propagation inside the heliosphere is well described by a transport equation introduced by Parker in 1965. To solve this equation, several approaches were followed in the past. Recently, a Monte Carlo approach became widely used in force of its advantages with respect to other numerical methods. In this approach the transport equation is associated to a fully equivalent set of stochastic differential equations (SDE). This set is used to describe the stochastic path of quasi-particle from a source, e.g., the interstellar space, to a specific target, e.g., a detector at Earth. We present a comparison of forward-in-time and backward-in-time methods to solve the cosmic rays transport equation in the heliosphere. The Parker equation and the related set of SDE in the several formulations are treated in this paper. For the sake of clarity, this work is focused on the one-dimensional solutions. Results were compared with an alternative numerical solution, namely, Crank-Nicolson method, specifically developed for the case under study. The methods presented are fully consistent each others for energy greater than 400 MeV. The comparison between stochastic integrations and Crank-Nicolson allows us to estimate the systematic uncertainties of Monte Carlo methods. The forward-in-time stochastic integrations method showed a systematic uncertainty <5%, while backward-in-time stochastic integrations method showed a systematic uncertainty <1% in the studied energy range.

On the forward-backward-in-time approach for Monte Carlo solution of Parker's transport equation: One-dimensional case / Bobik, P; Boschini, M; Della Torre, S; Gervasi, M; Grandi, D; La Vacca, G; Pensotti, S; Putis, M; Rancoita, P; Rozza, D; Tacconi, M; Zannoni, M. - In: JOURNAL OF GEOPHYSICAL RESEARCH. SPACE PHYSICS. - ISSN 2169-9380. - 121:5(2016), pp. 3920-3930. [10.1002/2015JA022237]

On the forward-backward-in-time approach for Monte Carlo solution of Parker's transport equation: One-dimensional case

Rozza, D;
2016-01-01

Abstract

The cosmic rays propagation inside the heliosphere is well described by a transport equation introduced by Parker in 1965. To solve this equation, several approaches were followed in the past. Recently, a Monte Carlo approach became widely used in force of its advantages with respect to other numerical methods. In this approach the transport equation is associated to a fully equivalent set of stochastic differential equations (SDE). This set is used to describe the stochastic path of quasi-particle from a source, e.g., the interstellar space, to a specific target, e.g., a detector at Earth. We present a comparison of forward-in-time and backward-in-time methods to solve the cosmic rays transport equation in the heliosphere. The Parker equation and the related set of SDE in the several formulations are treated in this paper. For the sake of clarity, this work is focused on the one-dimensional solutions. Results were compared with an alternative numerical solution, namely, Crank-Nicolson method, specifically developed for the case under study. The methods presented are fully consistent each others for energy greater than 400 MeV. The comparison between stochastic integrations and Crank-Nicolson allows us to estimate the systematic uncertainties of Monte Carlo methods. The forward-in-time stochastic integrations method showed a systematic uncertainty <5%, while backward-in-time stochastic integrations method showed a systematic uncertainty <1% in the studied energy range.
2016
On the forward-backward-in-time approach for Monte Carlo solution of Parker's transport equation: One-dimensional case / Bobik, P; Boschini, M; Della Torre, S; Gervasi, M; Grandi, D; La Vacca, G; Pensotti, S; Putis, M; Rancoita, P; Rozza, D; Tacconi, M; Zannoni, M. - In: JOURNAL OF GEOPHYSICAL RESEARCH. SPACE PHYSICS. - ISSN 2169-9380. - 121:5(2016), pp. 3920-3930. [10.1002/2015JA022237]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/232934
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 33
  • ???jsp.display-item.citation.isi??? 28
social impact