SPECTRUM AND ANISOTROPY OF TURBULENCE FROM MULTI-FREQUENCY MEASUREMENT OF SYNCHROTRON POLARIZATION

SPECTRUM AND ANISOTROPY OF TURBULENCE FROM MULTI-FREQUENCY MEASUREMENT OF SYNCHROTRON POLARIZATION
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DOI:
10.3847/0004-637x/818/2/178
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发表时间:
2015-11
期刊:
The Astrophysical Journal
影响因子:
--
通讯作者:
A. Lazarian;D. Pogosyan
A. Lazarian;D. Pogosyan
中科院分区:
其他
文献类型:
--
作者:
A. Lazarian;D. Pogosyan

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我们考虑湍流同步辐射介质,也表现出法拉第旋转,并提供同步加速器极化波动的统计描述。特别是,我们认为这些波动是测量方向空间分离的函数,也是同一视线波长的函数。在我们的一般分析方法的基础上,我们引入了几种可用于获得导致发射的底层磁湍流和法拉第旋转波动的光谱的光谱斜率和相关尺度的测量方法。我们展示了这些措施的协同性质,并讨论了如何使用稀疏采样的干涉测量数据进行研究。我们还讨论了如何获得湍流的附加特征,包括湍流各向异性和平均磁场的三维方向。此外,我们还考虑了同步辐射区和法拉第旋转区在空间上分离的情况。根据我们早期的研究,我们解释说,我们的新结果适用于负责同步加速器发射的相对论电子的广泛光谱指标。我们期待我们的技术得到广泛的应用,无论是现有的同步加速器数据集,还是即将到来的来自LOFAR和SKA的大数据集。
We consider turbulent synchrotron-emitting media that also exhibit Faraday rotation and provide a statistical description of synchrotron polarization fluctuations. In particular, we consider these fluctuations as a function of the spatial separation of the direction of the measurements and as a function of wavelength for the same line of sight. On the basis of our general analytical approach, we introduce several measures that can be used to obtain the spectral slopes and correlation scales of both the underlying magnetic turbulence responsible for emission and the spectrum of the Faraday rotation fluctuations. We show the synergetic nature of these measures and discuss how the study can be performed using sparsely sampled interferometric data. We also discuss how additional characteristics of turbulence can be obtained, including the turbulence anisotropy and the three-dimensional direction of the mean magnetic field. In addition, we consider the cases when the synchrotron emission and Faraday rotation regions are spatially separated. Appealing to our earlier study, we explain that our new results are applicable to a wide range of spectral indexes of relativistic electrons responsible for synchrotron emission. We expect wide application of our techniques, both with existing synchrotron data sets and with big forthcoming data sets from LOFAR and SKA.