Repp Andrew, Szapudi István
Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA.
Mon Not R Astron Soc. 2019 Mar;483(4):4438-4452. doi: 10.1093/mnras/sty3434. Epub 2019 Dec 19.
Future galaxy surveys hope to realize significantly tighter constraints on various cosmological parameters. The higher number densities achieved by these surveys will allow them to probe the smaller scales affected by non-linear clustering. However, in these regimes, the standard power spectrum can extract only a portion of such surveys' cosmological information. In contrast, the alternate statistic * has the potential to double these surveys' information return, provided one can predict the * power spectrum for a given cosmology. Thus, in this work we provide a prescription for this power spectrum (), finding that the prescription is typically accurate to about 5 per cent for near-concordance cosmologies. This prescription will thus allow us to multiply the information gained from surveys such as and .
未来的星系巡天将有望对各种宇宙学参数实现显著更严格的限制。这些巡天所实现的更高数密度将使它们能够探测到受非线性聚类影响的更小尺度。然而，在这些情况下，标准功率谱只能提取此类巡天宇宙学信息的一部分。相比之下，替代统计量有潜力使这些巡天的信息回报翻倍，前提是能够针对给定宇宙学预测功率谱。因此，在这项工作中，我们给出了这个功率谱（）的一个公式，发现对于近一致宇宙学，该公式通常精确到约5%。这个公式将因此使我们能够成倍增加从诸如和等巡天中获得的信息。
