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arXiv 1409.6161astro-ph.CO
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6dF星系巡天:特殊速度场和宇宙学

The 6dF Galaxy Survey: Peculiar Velocity Field and Cosmography

Christopher M. Springob, Christina Magoulas, Matthew Colless, Jeremy Mould, Pirin Erdogdu, D. Heath Jones, John R. Lucey, Lachlan Campbell, Christopher J. Fluke

摘要:

本文导出了6dF星系巡天(6dFGS)的特有速度,并描述了南半球($z<0.055$)的速度场。该调查包括8885个星系,我们以前曾报告过基本面数据。我们得到了奇特的速度概率分布的红移空间位置的每个星系使用贝叶斯方法。考虑到选择偏差,我们发现对数距离的不确定性为0.11 dex,对应于线性距离的$26\%$。我们使用自适应核平滑映射观察到的6dFGS速度场的$cz \sim 16,000$ \kms,并比较这从PSCz调查和2MASS红移调查的预测速度场。我们发现一个更好的适合PSCz预测,虽然减少$χ^2$的整个样本是近似统一的两个比较。这意味着,在观测的不确定性,由于红移独立的距离误差,观测到的星系速度和密度场的线性近似预测一致。然而,我们发现特殊的速度,系统更积极的比模型预测的方向上的沙普利和船帆座超星系团,系统更负的比模型预测的方向上的双鱼座鲸鱼座超星系团,建议的贡献量不包括由模型。

英文摘要:

We derive peculiar velocities for the 6dF Galaxy Survey (6dFGS) and describe the velocity field of the nearby ($z<0.055$) southern hemisphere. The survey comprises 8885 galaxies for which we have previously reported Fundamental Plane data. We obtain peculiar velocity probability distributions for the redshift space positions of each of these galaxies using a Bayesian approach. Accounting for selection bias, we find that the logarithmic distance uncertainty is 0.11 dex, corresponding to $26\%$ in linear distance. We use adaptive kernel smoothing to map the observed 6dFGS velocity field out to $cz \sim 16,000$ \kms, and compare this to the predicted velocity fields from the PSCz Survey and the 2MASS Redshift Survey. We find a better fit to the PSCz prediction, although the reduced $χ^2$ for the whole sample is approximately unity for both comparisons. This means that, within the observational uncertainties due to redshift independent distance errors, observed galaxy velocities and those predicted by the linear approximation from the density field agree. However, we find peculiar velocities that are systematically more positive than model predictions in the direction of the Shapley and Vela superclusters, and systematically more negative than model predictions in the direction of the Pisces-Cetus Supercluster, suggesting contributions from volumes not covered by the models.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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