Abstract
The upcoming generation of galaxy surveyswill probe the distribution ofmatter in the Universe with unprecedented accuracy. Measurements of the matter power spectrum at different scales and red shifts will provide stringent constraints on the cosmological parameters. However, on non-linear scales this will require an accurate evaluation of the covariance matrix. Here, we compute the covariance matrix of the three-dimensional matter density power spectrum for the concordance ΛCDM cosmology from an ensemble of N-body simulations of the Dark Energy Universe Simulation - Parallel Universe Runs (DEUS-PUR). This consists of 12 288 realizations of a (656 h-1 Mpc)3 simulation box with 2563 particles. We combine this set with an auxiliary sample of 96 simulations of the same volume with 10243 particles. We find the N-body mass resolution effect to be an important source of systematic errors on the covariance at high redshift and small intermediate scales. We correct for this effect by introducing an empirical statistical method which provide an accurate determination of the covariance matrix over a wide range of scales including the baryon oscillations interval. Contrary to previous studies that used smaller N-body ensembles, we find the power spectrum distribution to significantly deviate from expectations of a Gaussian random density field at k ≳ 0.25 h Mpc-1 and z < 0.5. This suggests that for the finite-volume surveys, an unbiased estimate of the ensemble-averaged band power at these scales and red shifts may require a more careful assessment of non-Gaussian errors than previously considered.
Author supplied keywords
Cite
CITATION STYLE
Blot, L., Corasaniti, P. S., Alimi, J. M., Reverdy, V., & Rasera, Y. (2015). Matter power spectrum covariance matrix from the DEUS-PUR ΛCDM simulations: Mass resolution and non-Gaussian errors. Monthly Notices of the Royal Astronomical Society, 446(2), 1756–1764. https://doi.org/10.1093/mnras/stu2190
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.