Information content of the non-linear matter power spectrum

We use an ensemble of N-body simulations of the currently favoured (concordance) cosmological model to measure the amount of information contained in the non-linear matter power spectrum about the amplitude of the initial power spectrum. Two surprising results emerge from this study: (i) that there is very little independent information in the power spectrum in the translinear regime (k≃ 0.2 –0.8 h Mpc−1 at the present day) over and above the information at linear scales; and (ii) that the cumulative information begins to rise sharply again with increasing wavenumber in the non-linear regime. In the fully non-linear regime, the simulations are consistent with no loss of information during translinear and non-linear evolution. If this is indeed the case then the results suggest a picture in which translinear collapse is very rapid, and is followed by a bounce prior to virialization, impelling a wholesale revision of the HKLM–Peacock & Dodds formalism.

[1]  R. Nichol,et al.  Cosmological parameters from SDSS and WMAP , 2003, astro-ph/0310723.

[2]  M. Halpern,et al.  First-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Tests of Gaussianity , 2003 .

[3]  J. Peacock,et al.  Stable clustering, the halo model and non-linear cosmological power spectra , 2002, astro-ph/0207664.

[4]  Gavin Dalton,et al.  Evidence for a non-zero Λ and a low matter density from a combined analysis of the 2dF Galaxy Redshift Survey and cosmic microwave background anisotropies , 2001, astro-ph/0109152.

[5]  J. Peacock,et al.  Halo occupation numbers and galaxy bias , 2000, astro-ph/0005010.

[6]  Chung-Pei Ma,et al.  Deriving the Nonlinear Cosmological Power Spectrum and Bispectrum from Analytic Dark Matter Halo Profiles and Mass Functions , 2000, astro-ph/0003343.

[7]  U. Seljak Analytic model for galaxy and dark matter clustering , 2000, astro-ph/0001493.

[8]  Max Tegmark,et al.  Decorrelating the power spectrum of galaxies , 1999, astro-ph/9905192.

[9]  J. Peacock,et al.  Baryonic signatures in Large-Scale Structure , 1998, astro-ph/9812214.

[10]  M. White,et al.  The growth of correlations in the matter power spectrum , 1998, astro-ph/9812129.

[11]  D. Eisenstein,et al.  Cosmic Complementarity: Joint Parameter Estimation from Cosmic Microwave Background Experiments and Redshift Surveys , 1998, astro-ph/9807130.

[12]  Wayne Hu,et al.  Baryonic Features in the Matter Transfer Function , 1997, astro-ph/9709112.

[13]  H. M. P. Couchman,et al.  Evolution of Structure in Cold Dark Matter Universes , 1997, astro-ph/9709010.

[14]  A. Klypin,et al.  Adaptive Refinement Tree: A New High-Resolution N-Body Code for Cosmological Simulations , 1997, astro-ph/9701195.

[15]  J. Peacock,et al.  Non-linear evolution of cosmological power spectra , 1996, astro-ph/9603031.

[16]  Max Tegmark,et al.  Karhunen-Loève Eigenvalue Problems in Cosmology: How Should We Tackle Large Data Sets? , 1996, astro-ph/9603021.

[17]  R. Cen,et al.  Patterns in Nonlinear Gravitational Clustering: A Numerical Investigation , 1995, astro-ph/9506051.

[18]  J. A. PeacockS.J. Dodds,et al.  Reconstructing the linear power spectrum of cosmological mass fluctuations , 1993, astro-ph/9311057.

[19]  A. Hamilton,et al.  Reconstructing the primordial spectrum of fluctuations of the universe from the observed nonlinear clustering of galaxies , 1991 .