Abstract
AbstractLarge surveys of the local Universe have shown that galaxies with different intrinsic properties such as colour, luminosity and morphological type display a range of clustering amplitudes. Galaxies are therefore not faithful tracers of the underlying matter distribution. This modulation of galaxy clustering, called bias, contains information about the physics behind galaxy formation. It is also a systematic to be overcome before the large-scale structure of the Universe can be used as a cosmological probe. Two types of approaches have been developed to model the clustering of galaxies. The first class is empirical and filters or weights the distribution of dark matter to reproduce the measured clustering. In the second approach, an attempt is made to model the physics which governs the fate of baryons in order to predict the number of galaxies in dark matter haloes. I will review the development of both approaches and summarise what we have learnt about galaxy bias.
Publisher
Cambridge University Press (CUP)
Subject
Space and Planetary Science,Astronomy and Astrophysics
Cited by
18 articles.
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1. Multiwavelength consensus of large-scale linear bias;Monthly Notices of the Royal Astronomical Society;2020-01-25
2. Sensitivity analysis of a galaxy formation model;Monthly Notices of the Royal Astronomical Society;2019-12-20
3. Measuring the growth of structure by matching dark matter haloes to galaxies with VIPERS and SDSS;Monthly Notices of the Royal Astronomical Society;2019-08-20
4. Clustering of galaxies around AGNs in the HSC Wide survey†;Publications of the Astronomical Society of Japan;2017-11-08
5. A galaxy–halo model for multiple cosmological tracers;Monthly Notices of the Royal Astronomical Society;2017-07-21