Journal
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 426, Issue 2, Pages 1262-1279Publisher
OXFORD UNIV PRESS
DOI: 10.1111/j.1365-2966.2012.21624.x
Keywords
gravitational lensing: weak; methods: statistical; dark matter; large-scale structure of Universe
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Funding
- Natural Sciences and Engineering Research Council (NSERC)
- Canadian Institute for Advanced Research (CIfAR)
- Fonds de recherche du Quebec - Nature et technologies (FQRNT)
- Canada Foundation for Innovation under Compute Canada
- Government of Ontario
- Ontario Research Fund - Research Excellence
- University of Toronto
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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.
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