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Peculiar Velocity Decomposition, Redshift Space Distortion and Velocity Reconstruction in Redshift Surveys - I. The Methodology

机译:特殊速度分解,红移空间畸变和速度   Redshift调查中的重建 - I.方法论

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摘要

Massive spectroscopic surveys will measure the redshift space distortion(RSD) induced by galaxy peculiar velocity to unprecedented accuracy. We developa new method to improve the RSD modeling and to carry out robust reconstructionof the 3D large scale peculiar velocity through galaxy redshift surveys, inlight of RSD. (1) We propose a mathematically unique and physically motivateddecomposition of peculiar velocity into three eigen-components of differentorigins, different scale dependences and different impacts on RSD. (2) Thisdecomposition has the potential to simplify and improve the RSD modeling. Wederive a new formula for the redshift space power spectrum. Under the velocitydecomposition scheme, all high order Gaussian corrections and non-Gaussiancorrection of order $\delta^3$ can be taken into account without introducingextra model uncertainties. We find that the leading order contribution $\propto(1+f\tilde{W}(k)u^2)^2$ differs from the Kaiser formula by a function$\tilde{W}(k)\leq 1$. We hence identify a significant systematic error causingunderestimation of the structure growth parameter $f$ by as much as $O(10%)$even at relatively large scale $k=0.1h/$Mpc. The velocity decomposition alsoreveals the three origins of the finger of God (FOG) effect. (3) The velocitydecomposition clarifies issues in peculiar velocity reconstruction through 3Dgalaxy distribution. We discuss two possible ways to carry out the velocityreconstruction. Both use the otherwise troublesome RSD in velocityreconstruction as a valuable source of information. Both have the advantage torender the reconstruction of a stochastic 3D field into the reconstruction of adeterministic window function $W^s(k,u)$ of limited degrees offreedom...[abridged]
机译:大规模光谱学调查将测量由星系特有速度引起的红移空间畸变(RSD),达到前所未有的精度。我们开发了一种新方法来改进RSD建模,并根据RSD,通过星系红移测量对3D大规模奇特速度进行可靠的重建。 (1)我们提出了一种数学上独特的,由物理原因将速度分解为不同起源,不同尺度依赖和对RSD的影响的三个本征分量的方法。 (2)该分解具有简化和改进RSD建模的潜力。为红移空间功率谱推导一个新公式。在速度分解方案下,可以考虑所有高阶高斯校正和阶$ \ delta ^ 3 $的非高斯校正,而不会引入额外的模型不确定性。我们发现领先订单贡献$ \ propto(1 + f \ tilde {W}(k)u ^ 2)^ 2 $与Kaiser公式的区别在于函数$ \ tilde {W}(k)\ leq 1 $ 。因此,我们确定了一个重大的系统误差,即使在相对较大的规模$ k = 0.1h / $ Mpc时,也会导致结构生长参数$ f $低估多达$ O(10%)$。速度分解还揭示了上帝之手指(FOG)效应的三个起源。 (3)速度分解通过3D星系分布阐明了特殊速度重建中的问题。我们讨论了两种可能的方法来进行速度重建。两者都使用速度重建中原本麻烦的RSD作为有价值的信息源。两者都具有将有限的自由度的确定性窗函数$ W ^ s(k,u)$的重建呈现为随机3D场的重建的优点。

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