arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2006.15022astro-ph.COgr-qc
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宇宙学均匀性尺度估计是穿着

Cosmological homogeneity scale estimates are dressed

Asta Heinesen

摘要:

我们调查数计数统计作为过渡到均匀的物质分布在宇宙中的措施,并分析如何这样的统计可能是“打扮”的假设调查选择功能。由于估计的调查选择功能-这在理想情况下占所观察到的分布的选择偏差-是部分退化与估计的基本分布的星系,能够识别正确的调查选择功能的重要性,获得可靠的估计聚类统计。现有的星系目录的选择功能的数据建模类似的红移分布和平均密度的观测星系。建议的估计选择功能,为即将到来的调查,另外使用的角分布的星系生成的角选择功能,而不是使用角的完整性估计。我们认为,这种选择函数的建模可能会低估现有星表所探测的尺度上的同质性偏差。我们调查的影响,传统上应用的方法估计的调查选择功能在玩具模型设置中的球体统计数字计数。示例密度分布是渐近均匀的,而非线性密度波动是区域性的。我们发现,密度振荡与周期相媲美的特征尺度的调查被抑制时,调用传统的估计调查选择功能,导致数量计数统计,偏向于同质性。对于我们的具体玩具模型,最大密度对比度为1,密度振荡周期的大小与调查半径相当,我们发现均匀性尺度被低估了约40%,然而,这个定量结果取决于模型设置。

英文摘要:

We investigate number count statistics as measures for transition to homogeneity of the matter distribution in the Universe and analyse how such statistics might be `dressed' by the assumed survey selection function. Since the estimated survey selection function -- which ideally accounts for selection bias in the observed distribution -- is partially degenerate with the estimated underlying distribution of galaxies, the ability to identify the correct survey selection function is of importance for obtaining reliable estimates for clustering statistics. Selection functions of existing galaxy catalogues are modelled from data to resemble the redshift distribution and mean density of the observed galaxies. Proposed estimates of the selection function for upcoming surveys in addition use the angular distribution of galaxies to generate the angular selection function instead of using angular completeness estimates. We argue that such modelling of the selection function could potentially underestimate the deviance from homogeneity at scales probed by existing catalogues. We investigate the impact of conventionally applied methods for estimation of the survey selection function on number count in sphere statistics in a toy model setting. The example density distribution is asymptotically homogeneous, while non-linear density fluctuations are present regionally. We find that density oscillations with period comparable to characteristic scales of the survey are suppressed when conventional estimates of the survey selection function are invoked, resulting in number count statistics that are biased towards homogeneity. For our concrete toy model with maximum density contrasts of 1 and period of the density oscillation comparable in size to the survey radius, we find that the homogeneity scale is underestimated by ~40%, however this quantitative result is dependent on the model setup.

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