We present estimates of the non-linear bias of cosmological halo formation, spanning a wide range in the halo mass from ∼105 to ∼1012 M⊙, based upon both a suite of high-resolution cosmological N-body simulations and theoretical predictions. The halo bias is expressed in terms of the mean bias and stochasticity as a function of local overdensity (δ), under different filtering scales, which is realized as the density of individual cells in uniform grids. The sampled overdensities span a range wide enough to provide the fully non-linear bias effect on the formation of haloes. A strong correlation between δ and halo population overdensity δh is found, along with sizable stochasticity. We find that the empirical mean halo bias matches, with goo...
In the theory of structure formation, galaxies are biased tracers of the underlying matter density f...
In the theory of structure formation, galaxies are biased tracers of the underlying matter density f...
International audienceWe study the linear and non-linear bias parameters which determine the mapping...
We measure the clustering of dark matter halos in a large set of collisionless cosmological simulati...
We present a new approach for modelling galaxy/halo bias that utilizes the full non-linear informati...
Halo bias is the one of the key ingredients of the halo models. It was shown at a given redshift to ...
We perform a series of high-resolution N-body simulations of cosmological structure formation starti...
Comparing clustering of differently biased tracers of the dark matter distribution offers the opport...
We measure the clustering of dark matter halos in a large set of collisionless cosmological simulati...
The strong dependence of the large-scale dark matter halo bias on the (local) non-Gaussianity parame...
In the theory of structure formation, galaxies are biased tracers of the underlying matter density f...
We investigate the spatial clustering of dark matter halos, collapsing from 1 − 4σ fluctuations, in ...
In the theory of structure formation, galaxies are biased tracers of the underlying matter density f...
This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society ...
We study the relationship between dark-matter haloes and matter in the MIP N-body simu-lation ensemb...
In the theory of structure formation, galaxies are biased tracers of the underlying matter density f...
In the theory of structure formation, galaxies are biased tracers of the underlying matter density f...
International audienceWe study the linear and non-linear bias parameters which determine the mapping...
We measure the clustering of dark matter halos in a large set of collisionless cosmological simulati...
We present a new approach for modelling galaxy/halo bias that utilizes the full non-linear informati...
Halo bias is the one of the key ingredients of the halo models. It was shown at a given redshift to ...
We perform a series of high-resolution N-body simulations of cosmological structure formation starti...
Comparing clustering of differently biased tracers of the dark matter distribution offers the opport...
We measure the clustering of dark matter halos in a large set of collisionless cosmological simulati...
The strong dependence of the large-scale dark matter halo bias on the (local) non-Gaussianity parame...
In the theory of structure formation, galaxies are biased tracers of the underlying matter density f...
We investigate the spatial clustering of dark matter halos, collapsing from 1 − 4σ fluctuations, in ...
In the theory of structure formation, galaxies are biased tracers of the underlying matter density f...
This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society ...
We study the relationship between dark-matter haloes and matter in the MIP N-body simu-lation ensemb...
In the theory of structure formation, galaxies are biased tracers of the underlying matter density f...
In the theory of structure formation, galaxies are biased tracers of the underlying matter density f...
International audienceWe study the linear and non-linear bias parameters which determine the mapping...