A New Algorithm for Computing Statistics of Weak Lensing by Large-Scale Structure

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dc.creatorWhite, Martin
dc.creatorHu, Wayne
dc.date1999-09-09
dc.date2000-02-18
dc.date.accessioned2026-07-07T10:31:52Z
dc.date.available2026-07-07T10:31:52Z
dc.descriptionWe describe an efficient algorithm for calculating the statistics of weak lensing by large-scale structure based on a tiled set of independent particle-mesh N-body simulations which telescope in resolution along the line of sight. This efficiency allows us to predict not only the mean properties of lensing observables such as the power spectrum, skewness and kurtosis of the convergence, but also their sampling errors for finite fields of view, which are themselves crucial for assessing the cosmological significance of observations. We find that the nongaussianity of the distribution substantially increases the sampling errors for the skewness and kurtosis in the several to tens of arcminutes regime, whereas those for the power spectrum are only fractionally increased even out to wavenumbers where shot noise from the intrinsic ellipticities of the galaxies will likely dominate the errors.
dc.description12 pages, 13 figures; minor changes reflect accepted version
dc.identifierhttps://arxiv.org/abs/astro-ph/9909165
dc.identifierhttp://arxiv.org/abs/astro-ph/9909165
dc.identifierAstrophys.J.537:1-11,2000
dc.identifierdoi:10.1086/309009
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/178563
dc.subjectAstrophysics
dc.titleA New Algorithm for Computing Statistics of Weak Lensing by Large-Scale Structure
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