Abstract
The field of astroparticle physics is currently the focus of prolific scientific activity. In subsequent years, this field will undergo significant development thanks to current experiments such as CREAM, PAMELA, Fermi, and H.E.S.S.. Moreover, the next generation of instruments, such as AMS (launched on 16 May 2011) and CTA, will undoubtedly facilitate more sensitive and precise measurements of the cosmic-ray and γ-ray fluxes. To fully exploit the experimental data generated by these experiments, robust and efficient statistical tools such as Markov Chain Monte Carlo algorithms or Genetic algorithms, able to handle the complexity of joint parameter spaces and data sets, are necessary for a phenomenological interpretation. The Grenoble Analysis Toolkit (GreAT) is an user-friendly and modular object orientated framework in C++, which samples the user-defined parameter space with a pre- or user-defined algorithm. The functionality of GreAT will be presented in context of cosmic-ray physics, where the boron-to-carbon (B/C) ratio is used to constrain cosmic-ray propagation models.
Original language | English (US) |
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Title of host publication | Proceedings of the 32nd International Cosmic Ray Conference, ICRC 2011 |
Publisher | Institute of High Energy Physics |
Pages | 260-262 |
Number of pages | 3 |
Volume | 6 |
DOIs | |
State | Published - Jan 1 2011 |
Event | 32nd International Cosmic Ray Conference, ICRC 2011 - Beijing, China Duration: Aug 11 2011 → Aug 18 2011 |
Other
Other | 32nd International Cosmic Ray Conference, ICRC 2011 |
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Country/Territory | China |
City | Beijing |
Period | 8/11/11 → 8/18/11 |
Keywords
- Cosmic-ray physics
- Global fitting
- Markov chain monte carlo