Excursion Set Halo Mass Function and Bias in a Stochastic Barrier Model of Ellipsoidal Collapse
arXiv:1107.1251 · doi:10.1103/PhysRevD.84.023009
Abstract
We use the Excursion Set formalism to compute the properties of the halo mass distribution for a stochastic barrier model which encapsulates the main features of the ellipsoidal collapse of dark matter halos. Non-markovian corrections due to the sharp filtering of the linear density field in real space are computed with the path-integral technique introduced by Maggiore & Riotto (2010). Here, we provide a detailed derivation of the results presented in Corasaniti & Achitouv (2011) and extend the mass function analysis to higher redshift. We also derive an analytical expression for the linear halo bias. We find the analytically derived mass function to be in remarkable agreement with N-body simulation data from Tinker et al. (2008) with differences smaller than ~5% over the range of mass probed by the simulations. The excursion set solution from Monte Carlo generated random walks shows the same level of agreement, thus confirming the validity of the path-integral approach for the barrier model considered here. Similarly the analysis of the linear halo bias shows deviations no greater than 20%. Overall these results indicate that the Excursion Set formalism in combination with a realistic modeling of the conditions of halo collapse can provide an accurate description of the halo mass distribution.
16 pages, 9 figures; companion paper published in PRL 106 (2011) 241302. To appear on PRD
References in corpus (8)
- A direct empirical proof of the existence of dark matter
- Effects of Scale-Dependent Non-Gaussianity on Cosmological Structures
- The Excursion Set Theory of Halo Mass Functions, Halo Clustering, and Halo Growth
- Environmental dependence in the ellipsoidal collapse model
- Precision cosmology with a wide area XMM cluster survey
- Excursion Set Theory for generic moving barriers and non-Gaussian initial conditions
- Why does the clustering of haloes depend on their formation history
- Multi-mass schemes for collisionless N-body simulations