Kurtosis in Large-Scale Structure as a Constraint on Non-Gaussian Initial Conditions

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

uuencoded compressed tar file including postscript text (17 pages) and 2 postscript figures, submitted to MNRAS

Scientific paper

We calculate the kurtosis of a large-scale density field which has undergone weakly non-linear gravitational evolution from arbitrary non-Gaussian initial conditions. It is well known that the weakly evolved {\twelveit skewness} is equal to its initial value plus the term induced by gravity, which scales with the rms density fluctuation in precisely the same way as for Gaussian initial conditions. As in the case of skewness, the evolved {\twelveit kurtosis} is equal to its initial value plus the contribution induced by gravity. The scaling of this induced contribution, however, turns out to be qualitatively different for Gaussian versus non-Gaussian initial conditions. Therefore, measurements of the kurtosis can serve as a powerful discriminating test between the hypotheses of Gaussian and non-Gaussian nature of primordial density fluctuations.

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

Kurtosis in Large-Scale Structure as a Constraint on Non-Gaussian Initial Conditions 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 Kurtosis in Large-Scale Structure as a Constraint on Non-Gaussian Initial Conditions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Kurtosis in Large-Scale Structure as a Constraint on Non-Gaussian Initial Conditions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-647288

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