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Dipole anisotropy in sky brightness and source count distribution in radio NVSS data

机译:NVSS无线电数据中天空亮度的偶极各向异性和源计数分布

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摘要

We study the dipole anisotropy in number counts and flux density weighted number counts or sky brightness in the NRAO VLA Sky Survey (NVSS) data. The dipole anisotropy is expected due to our local motion with respect to the CMBR rest frame. We analyse data with an improved fit to the number density, n(S), as a function of the flux density S. which allows deviation from a pure power law behaviour. We also impose more stringent cuts to remove the contribution due to clustering dipole. In agreement with earlier results, we find that the amplitude of anisotropy is significantly larger in comparison to the prediction based on CMBR measurements. The extracted speed is found to be roughly 3 times the speed corresponding to CMBR. The significance of deviation is smaller, roughly 2 sigma, in comparison to earlier estimates. For the cut, S > 30 mJy, the speed is found to be 1110 +/- 370 km/s using the source count analysis. The direction of the dipole anisotropy is found to be approximately in agreement with CMBR. We find that the results are relatively insensitive to the lower as well as upper limit imposed on the flux density. Our results suggest that the Universe is intrinsically anisotropic with the axis of anisotropy pointing roughly towards the CMBR dipole direction. Finally we present a method which may allow an independent extraction of the local speed and an intrinsic dipole anisotropy, provided a larger data set becomes available in future. (C) 2014 Elsevier B.V. All rights reserved.
机译:我们在NRAO VLA天空测量(NVSS)数据中研究偶极各向异性的数量计数和通量密度加权数量计数或天空亮度。偶极子各向异性是由于我们相对于CMBR静止框架的局部运动而引起的。我们分析了与数字密度n(S)拟合更好的数据,该数据是通量密度S的函数,它允许偏离纯幂律行为。我们还采取了更严格的削减措施,以消除由于聚类偶极子引起的影响。与早期结果一致,我们发现与基于CMBR测量的预测相比,各向异性的幅度要大得多。发现提取的速度大约是对应于CMBR的速度的3倍。与先前的估计相比,偏差的重要性较小,大约为2 sigma。对于切割,S> 30 mJy,使用源计数分析发现速度为1110 +/- 370 km / s。发现偶极各向异性的方向与CMBR近似一致。我们发现结果对磁通密度的下限和上限相对不敏感。我们的结果表明,宇宙本质上是各向异性的,各向异性轴大致指向CMBR偶极子方向。最后,我们提出了一种方法,该方法可以允许独立提取局部速度和固有偶极各向异性,前提是将来可以使用更大的数据集。 (C)2014 Elsevier B.V.保留所有权利。

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