4.6 Article

Gravitational redshift and other redshift-space distortions of the imaginary part of the power spectrum

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1475-7516/2009/11/026

关键词

galaxy clustering; power spectrum; redshift surveys; dark energy experiments

资金

  1. Beatrice D. Tremaine Fellowship

向作者/读者索取更多资源

I extend the usual linear-theory formula for large-scale clustering in redshift-space to include gravitational redshift. The extra contribution to the standard galaxy power spectrum is suppressed by k(c)(-2), where k(c) = ck/aH (k is the wavevector, a the expansion factor, and H = (a) over dot/a), and is thus effectively limited to the few largest-scale modes and very difficult to detect; however, a correlation, proportional to k(c)(-1), is generated between the real and imaginary parts of the Fourier space density fields of two different types of galaxy, which would otherwise be zero, i.e., the cross-power spectrum has an imaginary part: P-ab(k,mu)/P(k) = (b(a) + f mu(2)) (b(b) + f mu(2)) - i 3/2 Omega m mu/k(c) (b(a)-b(b)) + O(k(c)(-2)), where P(k) is the real-space mass-density power spectrum, b(i) are the galaxy biases, mu is the cosine of the angle between the wavevector and line of sight, and f = d lnD/d ln a (D is the linear growth factor). The total signal-to-noise of measurements of this effect is not dominated by the largest scales - it converges at k similar to 0.05 h Mpc(-1). This gravitational redshift result is pedagogically interesting, but naive in that it is gauge dependent and there are other effects of similar form and size, related to the transformation between observable and proper coordinates. I include these effects, which add other contributions to the coefficient of mu/k(c), and add a mu(3)/k(c) term, but don't qualitatively change the picture. The leading source of noise in the measurement is galaxy shot-noise, not sample variance, so developments that allow higher S/N surveys can make this measurement powerful, although it would otherwise be only marginally detectable in a JDEM-scale survey.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据