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The energy spectra of primary and secondary cosmic rays (CR) generally hardenat several hundreds of GeV, which can be naturally interpreted by propagationeffects. We adopt a spatially dependent CR propagation model to fit thespectral hardening, where a slow-diffusion disk (SDD) is assumed near theGalactic plane. We aim to constrain the propagation parameters with theBayesian parameter estimation based on a Markov chain Monte Carlo samplingalgorithm. The latest precise measurements of carbon spectrum and B/C ratio areadopted in the Bayesian analysis. The $\rm{^{10}Be/^{9}Be}$ and Be/B ratios arealso included to break parameter degeneracies. The fitting result shows thatall the parameters are well constrained. Especially, the thickness of the SDDis limited to 0.4-0.5 kpc above and below the Galactic plane, which could bethe best constraint for the slow-diffusion region among similar works. The$\bar{p}/p$ ratio and amplitude of CR anisotropy predicted by the SDD model areconsistent with the observations, while the predicted high-energy electron andpositron fluxes are slightly and significantly lower than the observations,respectively, indicating the necessity of extra sources.

Constraints on the spatially dependent cosmic-ray propagation model from Bayesian Analysis