The GALPROP Cosmic-Ray Propagation Code
arXiv:0907.0559
Abstract
The Galactic cosmic-ray propagation code GALPROP is designed to make predictions of many kinds of data self-consistently, including direct cosmic-ray measurements, gamma rays and synchrotron radiation. In the decade since its conception it has undergone considerable development, which is continuing. A public version was made available a few years ago, supported by a website. We describe the new features of the current version which will become part of the next public release. Plans for future developments are also mentioned.
Contribution to the 31st ICRC, Lodz, Poland, July 2009. Paper ID 0902
Cited by in corpus (18)
- Dark Matter Candidates from Particle Physics and Methods of Detection
- Observation of Supernova Remnant IC443 with the Fermi Large Area Telescope
- Direct Detection of Hawking Radiation from Asteroid-Mass Primordial Black Holes
- Global Constraints on Effective Dark Matter Interactions: Relic Density, Direct Detection, Indirect Detection, and Collider
- Statistics of gamma-ray point sources below the Fermi detection limit
- Dark matter and collider signatures of the MSSM
- Implications of the Cosmic Ray Electron Spectrum and Anisotropy measured with Fermi-LAT
- The Top Window for dark matter
- Gamma-ray Constraints on Effective Interactions of the Dark Matter
- Cosmic Antiproton Constraints on Effective Interactions of the Dark Matter
- Cosmic-Ray Positrons Strongly Constrain Leptophilic Dark Matter
- Supernova explosions of massive stars and cosmic rays
- -Cascade: A Simple Program to Compute Cosmological Gamma-Ray Propagation
- The Complex Large-scale Magnetic Fields in the First Galactic Quadrant as Revealed by the Faraday Depth Profile Disparity
- Comment on Calculation of Positron Flux from Galactic Dark Matter
- Explanations of the DAMPE high energy electron/positron spectrum in the dark matter annihilation and pulsar scenarios
- Tools for Dark Matter in Particle and Astroparticle Physics
- Antiproton Flux in Cosmic Ray Propagation Models with Anisotropic Diffusion