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Reconstructing Nonlinear Stochastic Bias from Velocity Space Distortions

机译:从速度空间畸变重构非线性随机偏差

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We propose a strategy to measure the dark matter power spectrum using minimal assumptions about the galaxy distribution and the galaxy-dark matter cross-correlations. We argue that on large scales the central limit theorem generically assures Gaussianity of each smoothed density field, but not coherence. Asymptotically, the only surviving parameters on a given scale are galaxy variance σ, bias b = Ω0.6/β, and the galaxy-dark matter cross-correlation coefficient r. These can all be determined by measuring the quadrupole and hexadecapole velocity distortions in the power spectrum. Measuring them simultaneously may restore consistency between all β-determinations independent of galaxy type. The leading deviations from Gaussianity are conveniently parameterized by an Edgeworth expansion. In the mildly nonlinear regime, two additional parameters describe the full picture: the skewness parameter s and nonlinear bias b2. They can both be determined from the measured skewness combined with second-order perturbation theory or from an N-body simulation. By measuring the redshift distortion of the skewness, one can measure the density parameter Ω with minimal assumptions about the galaxy formation process. This formalism also provides a convenient parameterization to quantify statistical galaxy formation properties.
机译:我们提出了一种策略,该方法使用关于银河系分布和银河与暗物质互相关的最小假设来测量暗物质功率谱。我们认为,在大范围内,中心极限定理通常可确保每个平滑密度场的高斯性,但不能保证相干性。渐近地,在给定尺度上仅有的生存参数是星系方差σ,偏差b =Ω0.6/β和星系-暗物质互相关系数r。这些都可以通过测量功率谱中的四极和十六极速度失真来确定。同时测量它们可以恢复所有与银河系无关的β测定的一致性。可以通过Edgeworth展开方便地对与高斯性的领先偏差进行参数化。在轻度非线性状态下,另外两个参数描述了整个情况:偏度参数s和非线性偏差b2。它们都可以根据测得的偏度结合二阶摄动理论或N体模拟来确定。通过测量偏度的红移失真,可以在对银河系形成过程的假设最少的情况下测量密度参数Ω。这种形式主义还提供了方便的参数化方法,以量化统计星系的形成特性。

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