Skewness and large-scale structure

Statistics – Computation

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

54

Computational Astrophysics, Cosmology, Galactic Clusters, Galactic Evolution, Astronomical Models, Density Distribution, Many Body Problem, Perturbation Theory, Red Shift, Universe

Scientific paper

The evolution of the skewness of the cosmological mass distribution into the nonlinear regime is discussed. Various analytical estimates of the skewness of initially Gaussian (i.e., unskewed) density perturbations are compared with each other, with N-body results, and with real clustering data. In general, the skewness is simply related to the rms mass fluctuation on the scale in question. The relationship can be used to construct a simple but potentially powerful test of the hypothesis that large-scale structure in the universe evolved from Gaussian initial conditions. The measured skewness of the QDOT-redshift-survey density distribution is compatible with the gravitational evolution of sufficiently high-amplitude Gaussian fluctuations. There is therefore no need to invoke non-Gaussian initial fluctuations to explain these data. The role of discreteness (i.e., shot noise) effects upon the interpretation of cell-count statistics is also discussed.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Skewness and large-scale structure 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 Skewness and large-scale structure, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Skewness and large-scale structure will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1541352

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.