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Multiparticle statistical model of the solar wind

机译:太阳风的多粒子统计模型

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摘要

A multiparticle statistical approach to plasma (gas) modeling is presented, in which the fact that the macroscopic parameters are measured with finite resolution scales is taken into account [Minkova, 2004; 2005; 2007]. This approach is based on the Liouville theorem formulated for a stationary open system in the approximation of detailed dynamic balance with its surroundings. When the finite resolution scales of measuring instruments are taken into account, the plasma (gas) is described by multiparticle distribution functions. The latter are used to derive the probability distribution functions of fluctuations and the average values of macroscopic parameters. The multiparticle statistical approach allows a stationary solar wind model to be constructed under a number of simplifying assumptions. Its results for the average values of macroscopic parameters coincide with those of the two-particle kinetic model [Vasenin et al., 2003] and agree with inecliptic observational data. [PUBLICATION ABSTRACT]
机译:提出了一种用于等离子体(气体)建模的多粒子统计方法,其中考虑了使用有限分辨率标度测量宏观参数的事实[Minkova,2004; 2004]。 2005; 2007]。该方法基于为固定的开放系统制定的Liouville定理,该定律近似于周围环境的详细动态平衡。当考虑到测量仪器的有限分辨率范围时,血浆(气体)由多颗粒分布函数描述。后者用于导出波动的概率分布函数和宏观参数的平均值。多粒子统计方法允许在许多简化假设下构建固定的太阳风模型。其宏观参数平均值的结果与两粒子动力学模型的结果吻合[Vasenin et al。,2003],并且与黄偏观测数据一致。 [出版物摘要]

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