From linear to non-linear scales: analytical and numerical predictions for the weak lensing convergence

Details From linear to non-linear scales: analytical and numerical predictions for the weak lensing convergence From linear to non-linear scales: analytical and numerical predictions for the weak lensing convergence

2003-04-24

arxiv.org/abs/astro-ph/0304451v2

Mon.Not.Roy.Astron.Soc. 347 (2004) 667

Astronomy and Astrophysics

Astrophysics

20 pages, final version published in MNRAS

Scientific paper

10.1111/j.1365-2966.2004.07249.x

Weak lensing convergence can be used directly to map and probe the dark mass distribution in the universe. Building on earlier studies, we recall how the statistics of the convergence field are related to the statistics of the underlying mass distribution, in particular to the many-body density correlations. We describe two model-independent approximations which provide two simple methods to compute the probability distribution function, pdf, of the convergence. We apply one of these to the case where the density field can be described by a log-normal pdf. Next, we discuss two hierarchical models for the high-order correlations which allow one to perform exact calculations and evaluate the previous approximations in such specific cases. Finally, we apply these methods to a very simple model for the evolution of the density field from linear to highly non-linear scales. Comparisons with the results obtained from numerical simulations, obtained from a number of different realizations, show excellent agreement with our theoretical predictions. We have probed various angular scales in the numerical work and considered sources at 14 different redshifts in each of two different cosmological scenarios, an open cosmology and a flat cosmology with non-zero cosmological constant. Our simulation technique employs computations of the full 3-d shear matrices along the line of sight from the source redshift to the observer and is complementary to more popular ray-tracing algorithms. Our results therefore provide a valuable cross-check for such complementary simulation techniques, as well as for our simple analytical model, from the linear to the highly non-linear regime.

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