A Markov Chain Monte Carlo technique to sample transport and source parameters of Galactic cosmic rays - II. Results for the diffusion model combining B/C and radioactive nuclei

By A. Putze, L. Derome, D. Maurin. 2010

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Context. Ongoing measurements of the cosmic radiation (nuclear, electronic, and γ-ray) are providing additional insight into cosmicray physics. A comprehensive picture of these data relies on an accurate determination of the transport and source parameters of propagation models. Aims. A Markov Chain Monte Carlo method is used to obtain these parameters in a diffusion model. By measuring the B/C ratio and radioactive cosmic-ray clocks, we calculate their probability density functions, placing special emphasis on the halo size L of the Galaxy and the local underdense bubble of size rh. We also derive the mean, best-fit model parameters and 68% confidence level for the various parameters, and the envelopes of other quantities. Methods. The analysis relies on the USINE code for propagation and on a Markov Chain Monte Carlo technique previously developed by ourselves for the parameter determination. Results. The B/C analysis leads to a most probable diffusion slope δ = 0.86 +0.04

Subfields: Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/5ca79e8376dbc865bd718745607af6c5b8f7956d

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In Nuclear and High Energy Physics

Citations in the corpus

CONSTRAINTS ON COSMIC-RAY PROPAGATION MODELS FROM A GLOBAL BAYESIAN ANALYSIS (2010, methodology): “We also note that they assume an injection spectrum that is a single power-law in rigidity, which also includes a factor of βηS , ∼βηSρ−ν (Putze et al. 2010b).”
Galactic electrons and positrons at the Earth: new estimate of the primary and secondary fluxes (2010, background): “These parameters were self-consistently constrained in Maurin et al. (2001) with ratios of secondary to primary nuclei — mostly boron to carbon B/C (see also Putze et al. 2010, for a more recent analysis).”