.png){kind=icon}
返回
Galaxy redshift surveys with sparse sampling
.png){kind=icon}
OA
AI
DOI：10.1088/1475-7516/2013/12/030.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Survey observations of the three-dimensional locations of galaxies are a powerful approach to measure the distribution of matter in the universe, which can be used to learn about the nature of dark energy, physics of inflation, neutrino masses, etc. A competitive survey, however, requires a large volume (e. g., V-survey similar to 10 Gpc(3)) to be covered, and thus tends to be expensive. A sparse sampling method offers a more affordable solution to this problem: within a survey footprint covering a given survey volume, V-survey, we observe only a fraction of the volume. The distribution of observed regions should be chosen such that their separation is smaller than the length scale corresponding to the wavenumber of interest. Then one can recover the power spectrum of galaxies with precision expected for a survey covering a volume of V-survey (rather than the volume of the sum of observed regions) with the number density of galaxies given by the total number of observed galaxies divided by V (survey) (rather than the number density of galaxies within an observed region). We find that regularly-spaced sampling yields an unbiased power spectrum with no window function effect, and deviations from regularly-spaced sampling, which are unavoidable in realistic surveys, introduce calculable window function effects and increase the uncertainties of the recovered power spectrum. On the other hand, we show that the two-point correlation function (pair counting) is not affected by sparse sampling. While we discuss the sparse sampling method within the context of the forthcoming Hobby-Eberly Telescope Dark Energy Experiment, the method is general and can be applied to other galaxy surveys.
Keyword:
redshift surveys
dark energy experiments
baryon acoustic oscillations
cosmological parameters from LSS
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.9
论文数:
1.3W
被引数:
4.7W
机构
引用论文
.png){kind=icon}
Correcting for the alias effect when measuring the power spectrum using a fast Fourier transformOAAI
OAAI分享收藏分享收藏
查看更多内容