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arXiv 2106.04594astro-ph.CO
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孔径质量统计量的快速估算II:当前和未来调查中高阶统计量的可探测性

Fast estimation of aperture mass statistics II: Detectability of higher order statistics in current and future surveys

Lucas Porth, Robert E. Smith

摘要:

我们探讨了一种替代方法,通常的剪切关联函数的方法,在弱透镜调查数据的孔径质量统计估计。我们的方法建立在直接估计方法的基础上。在本文中,我们将我们的分析扩展到任意阶统计和多尺度孔径质量统计。我们表明,总是存在一个线性顺序算法来检索这些广义孔径质量统计形状目录时,采用直接估计的方法。我们验证我们的方法,通过应用到大量的高斯模拟透镜调查的真实答案是已知的,我们这样做的10阶统计。然后,我们将我们的估计到一个合奏的真实世界的模拟目录从N体模拟-SLICS模拟,并表明,人们可以期望检索检测高阶聚类到四阶在KiDS-1000像调查。我们希望这些方法将是最实用的未来像欧几里德和鲁宾望远镜宽视场调查。

英文摘要:

We explore an alternative method to the usual shear correlation function approach for the estimation of aperture mass statistics in weak lensing survey data. Our approach builds on the direct estimator method. In this paper, we extend our analysis to statistics of arbitrary order and to the multiscale aperture mass statistics. We show that there always exists a linear order algorithm to retrieve any of these generalised aperture mass statistics from shape catalogs when the direct estimator approach is adopted. We validate our approach through application to a large number of Gaussian mock lensing surveys where the true answer is known and we do this up to 10th order statistics. We then apply our estimators to an ensemble of real-world mock catalogs obtained from N-body simulations - the SLICS mocks, and show that one can expect to retrieve detections of higher order clustering up to fourth order in a KiDS-1000 like survey. We expect that these methods will be of most utility for future wide-field surveys like Euclid and the Rubin Telescope.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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