1998
DOI: 10.1086/306470
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Propagation of Cosmic‐Ray Nucleons in the Galaxy

Abstract: We describe a method for the numerical computation of the propagation of primary and secondary nucleons, primary electrons, and secondary positrons and electrons. Fragmentation and energy losses are computed using realistic distributions for the interstellar gas and radiation fields, and diffusive reacceleration is also incorporated. The models are adjusted to agree with the observed cosmic-ray B/C and 10 Be/ 9 Be ratios. Models with diffusion and convection do not account well for the observed energy dependen… Show more

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Cited by 1,048 publications
(1,294 citation statements)
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References 48 publications
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“…Also , for antiprotons [96] and antideuterons we neglect energy losses (whenever a scattering with a nucleus takes place the particle is removed), while for positrons [97] we consider an average over space of the energy loss effect due to inverse Compton on starlight and the cosmic microwave background, and in addition the synchrotron radiation from the effects of the galactic magnetic field. For comparison, we allow also the option to treat the propagation of antiprotons according to the propagation models by Chardonnet et al [94] and Bottino et al [95], while for the positron we have implemented the option to use the leaky-box treatment given by Kamionkowski and Turner [93] or the numerical Green functions derived by Moskalenko and Strong [106] with the Galprop code [105] (the latter two cases however cannot be interfaced to a generic axisymmetric dark matter density profile, as for our default propagation model).…”
Section: Indirect Searches Through Antimatter Signalsmentioning
confidence: 99%
“…Also , for antiprotons [96] and antideuterons we neglect energy losses (whenever a scattering with a nucleus takes place the particle is removed), while for positrons [97] we consider an average over space of the energy loss effect due to inverse Compton on starlight and the cosmic microwave background, and in addition the synchrotron radiation from the effects of the galactic magnetic field. For comparison, we allow also the option to treat the propagation of antiprotons according to the propagation models by Chardonnet et al [94] and Bottino et al [95], while for the positron we have implemented the option to use the leaky-box treatment given by Kamionkowski and Turner [93] or the numerical Green functions derived by Moskalenko and Strong [106] with the Galprop code [105] (the latter two cases however cannot be interfaced to a generic axisymmetric dark matter density profile, as for our default propagation model).…”
Section: Indirect Searches Through Antimatter Signalsmentioning
confidence: 99%
“…This kind of numerical method has been adopted for the solution of the transport equation in the Milky Way, e.g., by the publicly available codes GALPROP (Strong & Moskalenko 1998) and DRAGON (Evoli et al 2008). The main differences in our case are that we have a 2D propagation (in r and E) due to the spherical symmetry (instead of 3D or 4D as for the Galaxy) and we consider a logarithmic scale for the spatial grid.…”
Section: Appendix A: Solution For Spherically-symmetric Transport Equmentioning
confidence: 99%
“…The GALPROP numerical package is by far the most developed tool for consistent cosmic-ray analysis [54,55]. The code solves a network of transport equations for Z≥1 nuclei as well as for electrons and positrons while computing energy losses using realistic maps of galactic gas [56] and of the far-infrared, optical and CMB photons that make up the Inter-Stellar Radiation Field (ISRF) [57].…”
Section: Consistent Modeling Of the High-energy Skymentioning
confidence: 99%
“…As δ describes the spectrum of turbulent features in the bulk magnetic field, there has been a large industry devoted to theoretical and experimental considerations of what its value should be [68][69][70][71][72][73]. Particularly well-motivated theoretical values include δ = 0.33 (Kolmogorov turbulence) and δ = 0.5 (Kraichnan turbulence).…”
Section: Jhep01(2011)064mentioning
confidence: 99%