Biasing and the distribution of dark matter haloes

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

revised to match MNRAS accepted version (28 pages, 23 figures)

Scientific paper

10.1046/j.1365-8711.1999.02378.x

In hierarchical models of gravitational clustering, virialized haloes are biased tracers of the matter distribution. As discussed by Mo & White (1996), this bias is nonlinear and stochastic. They developed a model which allows one to write down analytic expressions for the mean of the bias relation, in the initial Lagrangian, and the evolved, Eulerian spaces. We provide analytic expressions for the higher order moments as well. We also show how the Mo-White approach can be extended to compute the evolution, not just of the haloes, but of the dark matter distribution itself. The model predictions for the mean and scatter in the Eulerian bias relation, as well as for the Eulerian halo-mass and halo-halo correlation functions, are in reasonable agreement with numerical simulations of hierarchical gravitational clustering for haloes of a wide range of masses, whereas the predictions for the corresponding Lagrangian quantities are accurate only for massive haloes.

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

Biasing and the distribution of dark matter haloes 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 Biasing and the distribution of dark matter haloes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Biasing and the distribution of dark matter haloes will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-292418

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