Revisit cosmic ray propagation by using $^{1}$H, $^{2}$H, $^{3}$He and $^{4}$He
Juan Wu, Chen Huan

TL;DR
This study refines cosmic ray propagation models using recent secondary-to-primary ratios from PAMELA and Voyager-1 data, supporting a diffusion-reacceleration-convection model with Kolmogorov turbulence characteristics.
Contribution
It introduces a comprehensive analysis combining latest observational data with advanced statistical tools to constrain cosmic ray propagation models, emphasizing a time-, charge-, and rigidity-dependent solar modulation.
Findings
The diffusion-reacceleration-convection model is strongly supported.
The estimated diffusion slope δ is close to 1/3, indicating Kolmogorov turbulence.
A sophisticated solar modulation model improves data fitting.
Abstract
The secondary-to-primary ratios are unique tools to investigate cosmic ray propagation mechanisms. In this work, we use the latest data of deuteron-to-helium~4 ratio and helium~3-to-helium~4 ratio measured by PAMELA combined with other Z2 primary fluxes measured by PAMELA and Voyager-1, to constrain the cosmic ray acceleration and propagation models. The analysis is performed by interfacing statistical tools with the GALPROP propagation package. To better fit both the modulated and unmodulated low energy cosmic ray data, we find that a time-, charge- and rigidity-dependent solar modulation model is better than the force-field approximation. Among all the studied cosmic ray propagation models, the diffusion-reacceleration-convection model is strongly supported by the derived Bayesian evidence. The robustness of the estimated diffusion slope is cross-checked by another…
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