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arXiv 0810.0323astro-ph
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如何在没有样本方差的情况下测量红移空间失真

How to measure redshift-space distortions without sample variance

Patrick McDonald, Uros Seljak

摘要:

我们展示了如何使用多个示踪剂的大规模密度与不同的偏见来测量红移空间失真参数β =f/b=(dlnD/dlna)/b(其中D是增长率和一个的膨胀因子),一个更好的精度比一个可以实现与一个单一的示踪剂,在低噪声限制的任意精度。结合示踪剂的功率谱,这允许更精确地测量无偏差速度发散功率谱f^2 P_m -事实上,在低噪声限制下,f^2 P_m可以测量,如果直接观察速度发散,则可以测量,均方根改善因子为~[5.2(beta^2+2 beta+2)/beta^2]^0.5(例如,β =0.4时,比单一示踪剂好约10倍)。这将允许一个高精度的测定作为一个函数的红移的误差低至0.1%的f D。我们发现暗能量状态方程相对于第二阶段的品质因数有两个数量级的改善,比其他提出的第四阶段暗能量调查好几个因素。比b_2/b_1将以比β更高的精度确定,当作为尺度的函数测量时,产生非线性偏置开始的精密灵敏的探针。我们还更详细地扩展以前的工作,使用相同的技术来测量非高斯。目前计划中的红移巡天通常设计为在感兴趣的尺度上具有统一的信噪比,并且没有针对这种技术进行优化。我们的研究结果表明,这种策略可能需要重新审视,因为有很大的收益,以实现从调查与星系的数量密度较高。

英文摘要:

We show how to use multiple tracers of large-scale density with different biases to measure the redshift-space distortion parameter beta=f/b=(dlnD/dlna)/b (where D is the growth rate and a the expansion factor), to a much better precision than one could achieve with a single tracer, to an arbitrary precision in the low noise limit. In combination with the power spectrum of the tracers this allows a much more precise measurement of the bias-free velocity divergence power spectrum, f^2 P_m - in fact, in the low noise limit f^2 P_m can be measured as well as would be possible if velocity divergence was observed directly, with rms improvement factor ~[5.2(beta^2+2 beta+2)/beta^2]^0.5 (e.g., ~10 times better than a single tracer for beta=0.4). This would allow a high precision determination of f D as a function of redshift with an error as low as 0.1%. We find up to two orders of magnitude improvement in Figure of Merit for the Dark Energy equation of state relative to Stage II, a factor of several better than other proposed Stage IV Dark Energy surveys. The ratio b_2/b_1 will be determined with an even greater precision than beta, producing, when measured as a function of scale, an exquisitely sensitive probe of the onset of non-linear bias. We also extend in more detail previous work on the use of the same technique to measure non-Gaussianity. Currently planned redshift surveys are typically designed with signal to noise of unity on scales of interest, and are not optimized for this technique. Our results suggest that this strategy may need to be revisited as there are large gains to be achieved from surveys with higher number densities of galaxies.

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