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arXiv physics/9903043physics.plasm-phastro-phchao-dynnlin.CDphysics.data-an
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通过波动的概率分布函数在太阳风turbulence中的间歇性

Intermittency in the solar wind turbulence through probability distribution functions of fluctuations

Luca Sorriso-Valvo, Vincenzo Carbone, Pierluigi Veltri, Giuseppe Consolini, Roberto Bruno

摘要:

流体湍流中的间歇性可以通过分析速度波动的概率分布函数(PDF)来强调,这在小尺度上显示出强烈的非高斯行为。Castaing等人(1990年)提出了这样一种想法,即这种行为可以在乘法级联模型的框架中用高斯卷积来表示,高斯卷积的方差是按照对数正态分布的。在这封信中,我们试图通过对计算出的太阳风中的整体速度和磁场强度波动的PDF与模型进行拟合,来检验关于MHD太阳风湍流的这一猜想。这种拟合允许我们根据尺度计算参数,该尺度表示高斯方差的对数正态分布的宽度。最后讨论了所得到的参数值及其标度律的物理意义

英文摘要:

Intermittency in fluid turbulence can be emphasized through the analysis of Probability Distribution Functions (PDF) for velocity fluctuations, which display a strong non-gaussian behavior at small scales. Castaing et al. (1990) have introduced the idea that this behavior can be represented, in the framework of a multiplicative cascade model, by a convolution of gaussians whose variances is distributed according to a log-normal distribution. In this letter we have tried to test this conjecture on the MHD solar wind turbulence by performing a fit of the PDF of the bulk speed and magnetic field intensity fluctuations calculated in the solar wind, with the model. This fit allows us to calculate a parameter depending on the scale, which represents the width of the log-normal distribution of the variances of the gaussians. The physical implications of the obtained values of the parameter as well as of its scaling law are finally discussed

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