Large Scale Structure in the weakly non-linear regime

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Contribution to the conference "Cosmic Evolution and Galaxy Formation: Structure, Interactions and Feedback", Nov. 1999 (Puebl

Scientific paper

Is gravitational growth responsible for the observed large scale structure in the universe? Do we need non-gaussian initial conditions or non-gravitational physics to explain the large scale features traced by galaxy surveys? I will briefly revise the basic ideas of non-linear perturbation theory (PT) as a tool to understand structure formation, in particular through the study of higher order statistics, like the skewness and the 3-point function. Contrary to what happens with the second order statistics (the variance or power-spectrum), this test of gravitational instability is independent of the overall amplitude of fluctuations and of cosmic evolution, so that it does not require comparing the clustering at different redshifts. Predictions from weakly non-linear PT have been compared with observations to place constraints on our assumptions about structure formation, the initial conditions and how galaxies trace the mass.

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

Large Scale Structure in the weakly non-linear regime 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 Structure in the weakly non-linear regime, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Large Scale Structure in the weakly non-linear regime will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-203206

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