Volume 497, Number 2, April II 2009
|Page(s)||335 - 341|
|Section||Cosmology (including clusters of galaxies)|
|Published online||18 February 2009|
Full-sky weak-lensing simulation with 70 billion particles
Service d'Astrophysique, CEA Saclay, Bâtiment 709, 91191 Gif-sur-Yvette Cedex, France e-mail: firstname.lastname@example.org
2 Institut d'Astrophysique de Paris, 98bis boulevard Arago, 75014 Paris, France
3 Service d'Électronique, de Detection et d'Informatique, CEA Saclay, Bâtiment 141, 91191 Gif-sur-Yvette Cedex, France
4 Observatoire Astronomique, Université de Strasbourg, UMR 7550, 11 rue de l'Université, 67000 Strasbourg, France
Accepted: 13 January 2009
We have performed a 70 billion dark-matter particles N-body simulation in a 2 h-1 Gpc periodic box, using the concordance, cosmological model as favored by the latest WMAP3 results. We have computed a full-sky convergence map with a resolution of arcmin2, spanning 4 orders of magnitude in angular dynamical range. Using various high-order statistics on a realistic cut sky, we have characterized the transition from the linear to the nonlinear regime at and shown that realistic galactic masking affects high-order moments only below . Each domain (Gaussian and non-Gaussian) spans 2 decades in angular scale. This map is therefore an ideal tool for testing map-making algorithms on the sphere. As a first step in addressing the full map reconstruction problem, we have benchmarked in this paper two denoising methods: 1) Wiener filtering applied to the Spherical Harmonics decomposition of the map and 2) a new method, called MRLens, based on the modification of the Maximum Entropy Method on a Wavelet decomposition. While the latter is optimal on large spatial scales, where the signal is Gaussian, MRLens outperforms the Wiener method on small spatial scales, where the signal is highly non-Gaussian. The simulated full-sky convergence map is freely available to the community to help the development of new map-making algorithms dedicated to the next generation of weak-lensing surveys.
Key words: methods: N-body simulations / methods: data analysis / cosmology: large-scale structure of Universe
© ESO, 2009
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