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arXiv 1306.0005astro-ph.CO
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在系统学存在下估计大尺度角功率谱:斯隆数字巡天类星体的个例研究

Estimating the large-scale angular power spectrum in the presence of systematics: a case study of Sloan Digital Sky Survey quasars

Boris Leistedt, Hiranya V. Peiris, Daniel J. Mortlock, Aurélien Benoit-Lévy, Andrew Pontzen

摘要:

角功率谱是一个强大的统计分析宇宙学信号的印记在集群的物质。然而,目前的星系和类星体调查覆盖了有限的天空部分,并受到系统学的污染,可以模仿宇宙学的签名,并危及测量功率谱的解释。我们提供了一个框架,获得无偏估计的角功率谱的大尺度结构调查在最大尺度上使用二次估计。通过分析Manera等人(2013)为重子振荡光谱巡天(BOSS)构建的600个CMASS模拟星表来测试该方法。然后,我们考虑Richards等人(2009)从斯隆数字巡天(SDSS)的第六次数据发布(DR6)中获得的测光类星体目录,其中包括显著的恒星污染和系统不确定性。聚焦于紫外线过量(UVX)源的样本,我们表明,在最大尺度上存在的过度聚类功率可以在很大程度上减轻利用改进的天空掩模和投影出的模式对应的主要系统。特别是,我们发现,样本的光度红移$1.3 < z_p < 2.2$的对象没有证据污染时,使用我们最保守的掩模和模式投影。这表明,任何剩余的系统性都在统计不确定性范围内。我们的结论是,使用我们的方法,这个样本可以用于宇宙学研究。

英文摘要:

The angular power spectrum is a powerful statistic for analysing cosmological signals imprinted in the clustering of matter. However, current galaxy and quasar surveys cover limited portions of the sky, and are contaminated by systematics that can mimic cosmological signatures and jeopardise the interpretation of the measured power spectra. We provide a framework for obtaining unbiased estimates of the angular power spectra of large-scale structure surveys at the largest scales using quadratic estimators. The method is tested by analysing the 600 CMASS mock catalogues constructed by Manera et al. (2013) for the Baryon Oscillation Spectroscopic Survey (BOSS). We then consider the Richards et al. (2009) catalogue of photometric quasars from the Sixth Data Release (DR6) of the Sloan Digital Sky Survey (SDSS), which is known to include significant stellar contamination and systematic uncertainties. Focusing on the sample of ultraviolet-excess (UVX) sources, we show that the excess clustering power present on the largest-scales can be largely mitigated by making use of improved sky masks and projecting out the modes corresponding to the principal systematics. In particular, we find that the sample of objects with photometric redshift $1.3 < z_p < 2.2$ exhibits no evidence of contamination when using our most conservative mask and mode projection. This indicates that any residual systematics are well within the statistical uncertainties. We conclude that, using our approach, this sample can be used for cosmological studies.

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