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The Grenoble Analysis Toolkit (GreAT) – Application to cosmic-ray physics

机译:格勒诺布布分析工具包(伟大) - 应用于宇宙射线物理学

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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, andH.E.S.S.. Moreover, the next generation of instruments, such as AMS (launched on 16 May 2011) and CTA, will un-doubtedlyfacilitate more sensitive and precise measurements of the cosmic-ray and -ray fluxes. To fully exploit theexperimental data generated by these experiments, robust and efficient statistical tools such as Markov Chain MonteCarlo algorithms or Genetic algorithms, able to handle the complexity of joint parameter spaces and data sets, are nec-essaryfor a phenomenological interpretation. The Grenoble Analysis Toolkit (GreAT) is an user-friendly and modularobject orientated framework in C++, which samples the user-defined parameter space with a pre- or user-defined algo-rithm.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.
机译:天体物理学领域目前是多产科学活动的重点。在随后的几年中,由于当前的实验,这一领域将经历显着的发展,如Cream,Pamela,Fermi,Andh.ess。此外,下一代仪器,如AMS(2011年5月16日推出)和CTA,将联合国怀疑富集宇宙射线和-Ray助焊剂的更敏感和精确测量。为了充分利用这些实验产生的实验数据,能够处理联合参数空间和数据集的复杂性的Markov Chain Montecarlo算法或遗传算法等强大和有效的统计工具,是一种值得精英的现象学解释。 Grenoble分析工具包(Great)是一个用户友好的和模块化的C ++的框架,其使用预先或用户定义的算法来对用户定义的参数空间进行采样。伟大的功能将在宇宙的上下文中呈现-Ray物理学,其中硼 - 碳(B / C)比率用于约束宇宙射线传播模型。

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