Distribution of streaming rates into high-redshift galaxies
Entity
UAM. Departamento de Física TeóricaPublisher
Oxford University PressDate
2015-11-21Citation
10.1093/mnras/stv2005
Monthly Notices of Royal Astronomical Society 454.1 (2015): 637-648
ISSN
0035-8711 (print); 1365-2966 (online)DOI
10.1093/mnras/stv2005Funded by
This work was supported by FWF project number M 1590-N27 and by MINECO project number AYA 2012-32295.Project
Gobierno de España. AYA 2012-32295Editor's Version
http://dx.doi.org/10.1093/mnras/stv2005Subjects
Methods numerical; Galaxies evolution; Galaxies formation; Galaxies high redshift; Intergalactic medium; Cosmology theory; FísicaNote
This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society©: 2015 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reservedRights
2015 The AuthorsAbstract
We study the accretion along streams from the cosmic web into high-redshift massive galaxies using three sets of AMR hydrocosmological simulations. We find that the streams keep a roughly constant accretion rate as they penetrate into the halo centre. The mean accretion rate follows the mass and redshift dependence predicted for haloes by the EPS approximation, ˙M ∝ M1.25 vir (1 + z)2.5. The distribution of the accretion rates can well be described by a sum of
two Gaussians, the primary corresponding to ‘smooth inflow’ and the secondary to ‘mergers’. The same functional form was already found for the distributions of specific star formation rates in observations. The mass fraction in the smooth component is 60–90 per cent, insensitive
to redshift or halo mass. The simulations with strong feedback show clear signs of reaccretion due to recycling of galactic winds. The mean accretion rate for the mergers is a factor 2–3 larger than that of the smooth component. The standard deviation of the merger accretion
rate is 0.2–0.3 dex, showing no trend with mass or redshift. For the smooth component it is 0.12–0.24 dex
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Google Scholar:Goerdt, Tobias
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Ceverino Rodríguez, Daniel
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Dekel, Avishai
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Teyssier, Romain
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