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The nature of galaxy bias and clustering

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TLDR
In this paper, a combination of high resolution cosmological N-body simulations and semi-analytic modelling of galaxy formation was used to investigate the processes that determine the spatial distribution of galaxies in cold dark matter (CDM) models and its relation to the spatial distributions of dark matter.
Abstract
We have used a combination of high resolution cosmological N-body simulations and semi-analytic modelling of galaxy formation to investigate the processes that determine the spatial distribution of galaxies in cold dark matter (CDM) models and its relation to the spatial distribution of dark matter. The galaxy distribution depends sensitively on the efficiency with which galaxies form in haloes of different mass. In small mass haloes, galaxy formation is inhibited by the reheating of cooled gas by feedback processes, whereas in large mass haloes, it is inhibited by the long cooling time of the gas. As a result, the mass-to-light ratio of haloes has a deep minimum at the halo mass, ∼1012 M⊙, associated with L* galaxies, where galaxy formation is most efficient. This dependence of galaxy formation efficiency on halo mass leads to a scale-dependent bias in the distribution of galaxies relative to the distribution of mass. On large scales, the bias in the galaxy distribution is related in a simple way to the bias in the distribution of massive haloes. On small scales, the correlation function is determined by the interplay between various effects including the spatial exclusion of dark matter haloes, the distribution function of the number of galaxies occupying a single dark matter halo and, to a lesser extent, dynamical friction. Remarkably, these processes conspire to produce a correlation function in a flat, Ω0=0.3, CDM model that is close to a power law over nearly four orders of magnitude in amplitude. This model agrees well with the correlation function of galaxies measured in the automated-plate measurement survey. On small scales, the model galaxies are less strongly clustered than the dark matter, whereas on large scales they trace the occupied haloes. Our clustering predictions are robust to changes in the parameters of the galaxy formation model, provided only those models which match the bright end of the galaxy luminosity function are considered.

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Populating a cluster of galaxies - I. Results at z=0

TL;DR: In this article, the assembly of a massive rich cluster and the formation of its constituent galaxies in a flat, low-density universe is simulated, and the most accurate model follows the collapse, the star formation history and the orbital motion of all galaxies more luminous than the Fornax dwarf spheroidal, while dark halo structure is tracked consistently throughout the cluster.
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Halo Models of Large Scale Structure

TL;DR: In this paper, the authors review the formalism and applications of the halo-based description of non-linear gravitational clustering, and demonstrate its accuracy by comparing its predictions with exact results from numerical simulations of nonlinear gravity clustering.
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Hierarchical galaxy formation

TL;DR: The GALFORM model as discussed by the authors is a semi-analytic model for calculating the formation and evolution of galaxies in hierarchical clustering cosmologies, which employs a new Monte-Carlo algorithm to follow the merging evolution of dark matter halos with arbitrary mass resolution.
References
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Journal ArticleDOI

The Structure of cold dark matter halos

TL;DR: In this article, high-resolution N-body simulations show that the density profiles of dark matter halos formed in the standard CDM cosmogony can be fit accurately by scaling a simple universal profile.
Journal ArticleDOI

The statistics of peaks of Gaussian random fields

TL;DR: In this paper, a set of new mathematical results on the theory of Gaussian random fields is presented, and the application of such calculations in cosmology to treat questions of structure formation from small-amplitude initial density fluctuations is addressed.
Journal ArticleDOI

The evolution of large-scale structure in a universe dominated by cold dark matter

TL;DR: In this article, the results of numerical simulations of nonlinear gravitational clustering in universes dominated by weakly interacting, cold dark matter are presented and the evolution of the fundamental statistical properties of the models is described and their comparability with observation is discussed.
Journal ArticleDOI

Galaxy formation through hierarchical clustering

TL;DR: In this article, the formation of galaxies by gas condensation within massive dark halos is studied, where the structure grows through hierarchical clustering of a mixture of gas and dissipationless dark matter.
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