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arXiv 0807.1770astro-ph
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测量没有宇宙方差的原始非高斯性

Measuring primordial non-gaussianity without cosmic variance

Uros Seljak

摘要:

宇宙初始条件的非高斯性是区分早期宇宙竞争理论的最有力机制之一。利用宇宙微波背景各向异性的双谱测量受到宇宙方差的限制,即可用的模式数。最近的工作强调了利用来自大尺度结构的高偏置示踪剂的大尺度偏置的尺度依赖性来探测局域型非高斯性的可能性。然而,这种功率谱方法也受到宇宙方差,最大尺度上有限数量的结构,以及与其他宇宙学参数的部分简并度的限制,这些参数可以模拟相同的效果。在这里,我们提出了一种替代方法,解决这两个问题。它是基于这样的想法,即在大尺度上,晕是有偏的,但不是随机的,暗物质的示踪剂:通过将大尺度结构的高度有偏的示踪剂与无偏的示踪剂相关联,可以消除宇宙方差误差,这可能导致即使是与测量尺寸相当的结构也具有高信噪比。相对于功率谱方法,非高斯性参数f_nl的误差平方改进标度为Pn/2,其中P和n分别是有偏示踪剂的功率谱和数密度。对于z = 2的理想测量,误差减小可以大到7倍,这应该保证从这种类型的全天测量中检测到非高斯性。如果可以在大体积上识别和测量对非高斯性敏感的高密度示踪剂,则改进可能更大。

英文摘要:

Non-gaussianity in the initial conditions of the universe is one of the most powerful mechanisms to discriminate among the competing theories of the early universe. Measurements using bispectrum of cosmic microwave background anisotropies are limited by the cosmic variance, i.e. available number of modes. Recent work has emphasized the possibility to probe non-gaussianity of local type using the scale dependence of large scale bias from highly biased tracers of large scale structure. However, this power spectrum method is also limited by cosmic variance, finite number of structures on the largest scales, and by the partial degeneracy with other cosmological parameters that can mimic the same effect. Here we propose an alternative method that solves both of these problems. It is based on the idea that on large scales halos are biased, but not stochastic, tracers of dark matter: by correlating a highly biased tracer of large scale structure against an unbiased tracer one eliminates the cosmic variance error, which can lead to a high signal to noise even from the structures comparable to the size of the survey. The square of error improvement on non-gaussianity parameter f_nl relative to the power spectrum method scales as Pn/2, where P and n is the power spectrum and the number density of the biased tracer, respectively. For an ideal survey out to z=2 the error reduction can be as large as a factor of seven, which should guarantee a detection of non-gaussianity from an all sky survey of this type. The improvements could be even larger if high density tracers that are sensitive to non-gaussianity can be identified and measured over a large volume.

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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