English

Weak lensing shear and aperture-mass from linear to non-linear scales

Astrophysics 2009-11-10 v2

Abstract

In this paper we describe the predictions for the smoothed weak lensing shear and aperture-mass of two simple analytical models of the density field: the minimal tree-model and the stellar model. Both models give identical results for the statistics of the 3-d density contrast smoothed over spherical cells and only differ by the detailed angular dependence of the many-body density correlations. We have shown in previous work that they also yield almost identical results for the pdf of the smoothed convergence, κs\kappa_s. We find that both models give rather close results for both the shear and the positive tail of the aperture-mass. However, we note that at small angular scales (θs\la2\theta_s \la 2') the tail of the pdf \cP(\Map)\cP(\Map) for negative \Map\Map shows a strong variation between the two models and the stellar model actually breaks down for θs\la0.4\theta_s \la 0.4' and \Map<0\Map<0. This shows that the statistics of the aperture-mass provides a very precise probe of the detailed structure of the density field, as it is sensitive to both the amplitude and the detailed angular behaviour of the many-body correlations. On the other hand, the minimal tree-model shows good agreement with numerical simulations over all scales and redshifts of interest, while both models provide a good description of the pdf \cP(γis)\cP(\gamma_{is}) of the smoothed shear components. Therefore, the shear and the aperture-mass provide robust and complimentary tools to measure the cosmological parameters as well as the detailed statistical properties of the density field.

Keywords

Cite

@article{arxiv.astro-ph/0309698,
  title  = {Weak lensing shear and aperture-mass from linear to non-linear scales},
  author = {Dipak Munshi and Patrick Valageas and Andrew J. Barber},
  journal= {arXiv preprint arXiv:astro-ph/0309698},
  year   = {2009}
}

Comments

19 pages, minor changes, matches final version published in MNRAS