Aseem Paranjape, Tsz Yan Lam, Ravi K. Sheth
The Excursion Set approach has been used to make predictions for a number of
interesting quantities in studies of nonlinear hierarchical clustering. These
include the halo mass function, halo merger rates, halo formation times and
masses, halo clustering, analogous quantities for voids, and the distribution
of dark matter counts in randomly placed cells. The approach assumes that all
these quantities can be mapped to problems involving the first crossing
distribution of a suitably chosen barrier by random walks. Most analytic
expressions for these distributions ignore the fact that, although different
k-modes in the initial Gaussian field are uncorrelated, this is not true in
real space: the values of the density field at a given spatial position, when
smoothed on different real-space scales, are correlated in a nontrivial way. As
a result, the problem is to estimate first crossing distribution by random
walks having correlated rather than uncorrelated steps. In 1990, Peacock &
Heavens presented a simple approximation for the first crossing distribution of
a single barrier of constant height by walks with correlated steps. We show
that their approximation can be thought of as a correction to the distribution
associated with what we call smooth completely correlated walks. We then use
this insight to extend their approach to treat moving barriers, as well as
walks that are constrained to pass through a certain point before crossing the
barrier. For the latter, we show that a simple rescaling, inspired by bivariate
Gaussian statistics, of the unconditional first crossing distribution,
accurately describes the conditional distribution, independently of the choice
of analytical prescription for the former. In all cases, comparison with
Monte-Carlo solutions of the problem shows reasonably good agreement.
(Abridged)
View original:
http://arxiv.org/abs/1105.1990
No comments:
Post a Comment