The algorithm ZTRACE of Monaco & Efstathiou is applied to the IRAS PSCz catalogue to reconstruct the initial conditions of our local Universe with a resolution down to similar to5 h(-1) Mpc. The one-point probability distribution function (PDF) of the reconstructed initial conditions is consistent with the assumptions that: (i) IRAS galaxies trace mass on scales of similar to5 h(-1) Mpc and (ii) the statistics of the primordial density fluctuations are Gaussian. We use simulated PSCz catalogues, constructed from N-body simulations with Gaussian initial conditions, to show that local non-linear bias can cause the recovered initial PDF (assuming no bias) to be non-Gaussian. However, for plausible bias models, the distortions of the recovered PDF would be difficult to detect using the volume finely sampled by the PSCz catalogue. So, for Gaussian initial conditions, a range of bias models remain compatible with our PSCz reconstruction results.
Monaco, P., Efstathiou, G., Maddox, S.j., Branchini, E.F., Frenk, C.s., Mcmahon, R.g., et al. (2000). The one-point PDF of the initial conditions of our local Universe from the IRAS PSC redshift catalogue. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 318(3), 681-692 [10.1046/j.1365-8711.2000.03739.x].
The one-point PDF of the initial conditions of our local Universe from the IRAS PSC redshift catalogue
BRANCHINI, ENZO FRANCO;
2000-01-01
Abstract
The algorithm ZTRACE of Monaco & Efstathiou is applied to the IRAS PSCz catalogue to reconstruct the initial conditions of our local Universe with a resolution down to similar to5 h(-1) Mpc. The one-point probability distribution function (PDF) of the reconstructed initial conditions is consistent with the assumptions that: (i) IRAS galaxies trace mass on scales of similar to5 h(-1) Mpc and (ii) the statistics of the primordial density fluctuations are Gaussian. We use simulated PSCz catalogues, constructed from N-body simulations with Gaussian initial conditions, to show that local non-linear bias can cause the recovered initial PDF (assuming no bias) to be non-Gaussian. However, for plausible bias models, the distortions of the recovered PDF would be difficult to detect using the volume finely sampled by the PSCz catalogue. So, for Gaussian initial conditions, a range of bias models remain compatible with our PSCz reconstruction results.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.