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arXiv 1709.03499astro-ph.CO
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随机有序红移技术(SORT):一种改进宇宙学红移测量的简单、有效和鲁棒的方法

Stochastic Order Redshift Technique (SORT): a simple, efficient and robust method to improve cosmological redshift measurements

Nicolas Tejos, Aldo Rodriguez-Puebla, Joel R. Primack

摘要:

我们提出了一个简单,有效和强大的方法来改善宇宙学红移测量。该方法是基于一个参考样品的存在下,一个精确的红移数分布(dN/dz),可以获得不同的类锯齿光束的子体积内的原始调查。对于每个子体积,我们然后施加:(i)的红移数分布的不确定的红移测量匹配的参考dN/dz校正由他们的选择功能;和(ii)在红移的不确定测量的原始合奏的秩顺序被保留。后一步的动机是从高斯概率密度函数(PDF)的不同手段和任意大的标准偏差满足随机排序的随机变量的事实。然后,我们重复这个简单的算法,多个任意的双光束重叠的子体积,以这种方式,每个不确定的测量有多个(非独立的)“恢复”的红移,可以用来估计一个新的红移PDF。我们称这种方法为随机阶红移技术(SORT)。我们已经使用了最先进的N体模拟测试SORT的性能在简单的假设下,发现它可以提高质量的宇宙学红移在一个有效的和强大的方式。特别是SORT红移能够恢复“宇宙网”的独特特征,并且可以在> 4 Mpc/h的尺度上提供两点关联函数的无偏测量。鉴于其简单性,我们设想,像SORT的方法可以被纳入更复杂的算法,旨在利用大型河外测光调查的全部潜力。

英文摘要:

We present a simple, efficient and robust approach to improve cosmological redshift measurements. The method is based on the presence of a reference sample for which a precise redshift number distribution (dN/dz) can be obtained for different pencil-beam-like sub-volumes within the original survey. For each sub-volume we then impose: (i) that the redshift number distribution of the uncertain redshift measurements matches the reference dN/dz corrected by their selection functions; and (ii) the rank order in redshift of the original ensemble of uncertain measurements is preserved. The latter step is motivated by the fact that random variables drawn from Gaussian probability density functions (PDFs) of different means and arbitrarily large standard deviations satisfy stochastic ordering. We then repeat this simple algorithm for multiple arbitrary pencil-beam-like overlapping sub-volumes; in this manner, each uncertain measurement has multiple (non-independent) "recovered" redshifts which can be used to estimate a new redshift PDF. We refer to this method as the Stochastic Order Redshift Technique (SORT). We have used a state-of-the-art N-body simulation to test the performance of SORT under simple assumptions and found that it can improve the quality of cosmological redshifts in an efficient and robust manner. Particularly, SORT redshifts are able to recover the distinctive features of the 'cosmic web' and can provide unbiased measurement of the two-point correlation function on scales > 4 Mpc/h. Given its simplicity, we envision that a method like SORT can be incorporated into more sophisticated algorithms aimed to exploit the full potential of large extragalactic photometric surveys.

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