Astronomy and Astrophysics – Astrophysics
Scientific paper
1995-12-03
Astronomy and Astrophysics
Astrophysics
revised version to appear in ApJ Let., gzip postscript
Scientific paper
10.1086/310023
A basic ingredient to understand large scale fluctuations in our present day Universe is the initial conditions. Using N-body simulations, we compare the clustering that arises from Gaussian and non-Gaussian initial conditions. The latter is motivated by a global texture model which has initial $J$-order correlations $\xibar_J$ close to the strongly non-Gaussian regime $\xibar_J \simeq \xibar_2^{J/2}$. The final amplitudes $S_J \equiv \xibar_J/\xibar_2^{J-1}$ in the non-Gaussian (texture) model evolves slowly towards the (Gaussian) gravitational predictions but, even at $\sigma_8=1$, are still significantly larger, showing a characteristic minimum with a sharp increase in $S_J$ with increasing scales. This minimum, which is between $10$ and $15 \Mpc$, depending on the normalization, separates the regime where gravity starts dominating the evolution from the one in which the initial conditions are the dominant effect. In comparing this results with galaxy clustering observations, one has to take into account {\it biasing}, i.e. how galaxy fluctuations trace matter fluctuations. Although biasing could change the amplitudes, we show that the possible distortions to the shape of $S_J$ are typically small. In contrast to the non-Gaussian (texture) predictions, we find no significant minimum or rise in $S_J$ obtained from the APM Galaxy Survey.
Gaztanaga Enrique
Mahonen Petri
No associations
LandOfFree
Large scale clustering from Non-Gaussian texture models does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Large scale clustering from Non-Gaussian texture models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Large scale clustering from Non-Gaussian texture models will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-583394