Gravitational lensing simulations - I. Covariance matrices and halo catalogues

被引:54
作者
Harnois-Deraps, Joachim [1 ,2 ]
Vafaei, Sanaz [3 ]
Van Waerbeke, Ludovic [3 ]
机构
[1] Univ Toronto, Canadian Inst Theoret Astrophys, Toronto, ON M5S 3H8, Canada
[2] Univ Toronto, Dept Phys, Toronto, ON M5S 1A7, Canada
[3] Univ British Columbia, Dept Phys & Astron, Vancouver, BC V6T 1Z1, Canada
基金
加拿大创新基金会; 加拿大自然科学与工程研究理事会;
关键词
gravitational lensing: weak; methods: statistical; dark matter; large-scale structure of Universe; LARGE-SCALE STRUCTURE; DIGITAL SKY SURVEY; DARK-MATTER; INFORMATION-CONTENT; POWER SPECTRUM; COSMIC SHEAR; COSMOLOGICAL CONSTRAINTS; WEAK; MODEL; STATISTICS;
D O I
10.1111/j.1365-2966.2012.21624.x
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Gravitational lensing surveys have now become large and precise enough that the interpretation of the lensing signal has to take into account an increasing number of theoretical limitations and observational biases. Because the lensing signal is strongest at small angular scales, only numerical simulations can reproduce faithfully the non-linear dynamics and secondary effects at play. This paper is the first of a series in which all gravitational lensing corrections known so far will be implemented in the same set of simulations, using realistic mock catalogues and non-Gaussian statistics. In this first paper, we present the tcs simulation suite and we compute basic statistics, such as the second- and third-order convergence and shear correlation functions. These simple tests set the range of validity of our simulations, which are resolving most of the signals at the subarcminute level (or l similar to 104). We also compute the non-Gaussian covariance matrix of several statistical estimators, including many that are used in the CanadaFranceHawaii Telescope Lensing Survey (CFHTLenS). From the same realizations, we construct halo catalogues, computing a series of properties that are required by most galaxy population algorithms.
引用
收藏
页码:1262 / 1279
页数:18
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