Galaxy formation as a cosmological tool – I. The galaxy merger history as a measure of cosmological parameters
As galaxy formation and evolution over long cosmic time-scales depends to a large degree on the structure of the universe, the assembly history of galaxies is potentially a powerful approach for learning about the universe itself. In this paper, we examine the merger history of dark matter haloes ba...
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Veröffentlicht in: | Monthly notices of the Royal Astronomical Society 2014-10, Vol.444 (2), p.1125-1143 |
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Sprache: | eng |
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Zusammenfassung: | As galaxy formation and evolution over long cosmic time-scales depends to a large degree on the structure of the universe, the assembly history of galaxies is potentially a powerful approach for learning about the universe itself. In this paper, we examine the merger history of dark matter haloes based on the Extended Press–Schechter formalism as a function of cosmological parameters, redshift and halo mass. We calculate how major halo mergers are influenced by changes in the cosmological values of Ωm, ΩΛ, σ8, the dark matter particle temperature (warm versus cold dark matter), and the value of a constant and evolving equation of state parameter w(z). We find that the merger fraction at a given halo mass varies by up to a factor of 3 for haloes forming under the assumption of cold dark matter, within different underling cosmological parameters. We find that the current measurements of the merger history, as measured through observed galaxy pairs as well as through structure, are in agreement with the concordance cosmology with the current best fit giving
$1 - \Omega _{\rm m} = \Omega _{\rm \Lambda } = 0.84^{+0.16}_{-0.17}$
. To obtain a more accurate constraint competitive with recently measured cosmological parameters from Planck and Wilkinson Microwave Anisotropy Probe requires a measured merger accuracy of δf
m ∼ 0.01, implying surveys with an accurately measured merger history over 2–20 deg2, which will be feasible with the next generation of imaging and spectroscopic surveys such as Euclid and LSST. |
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ISSN: | 0035-8711 1365-2966 |
DOI: | 10.1093/mnras/stu1385 |