Volume 413, Number 2, January II 2004
|Page(s)||465 - 476|
|Section||Cosmology (including clusters of galaxies)|
|Published online||18 December 2003|
Analysis of two-point statistics of cosmic shear
II. Optimizing the survey geometry
Institut f. Astrophysik u. Extr. Forschung, Universität Bonn, Auf dem Hügel 71, 53121 Bonn, Germany
2 Max-Planck-Institut f. Astrophysik, Postfach 1317, 85741 Garching, Germany
Corresponding author: M. Kilbinger, firstname.lastname@example.org
Accepted: 30 September 2003
We present simulations of a cosmic shear survey and show how the survey geometry influences the accuracy of determination of cosmological parameters. We numerically calculate the full covariance matrices of two-point statistics of cosmic shear, based on the expressions derived in the first paper of this series. The individual terms are compared for two survey geometries with large and small cosmic variance. We use analyses based on maximum likelihood of and the Fisher information matrix in order to derive expected constraints on cosmological parameters. As an illustrative example, we simulate various survey geometries consisting of 300 individual fields of size, placed (semi-)randomly into patches which are assumed to be widely separated on the sky and therefore uncorrelated. Using the aperture mass statistics , the optimum survey consists of 10 patches with 30 images in each patch. If and Γ are supposed to be extracted from the data, the minimum variance bounds on these three parameters are 0.17, 0.25 and 0.04 respectively. These variances increase slightly when the initial power spectrum index ns is also to be determined from the data. The cosmological constant is only poorly constrained.
Key words: cosmology: observations / gravitational lensing / cosmology: large-scale structure of Universe
© ESO, 2004
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.