Journal article

Dark-ages Reionization and Galaxy Formation Simulation - VIII. Suppressed growth of dark matter haloes during the Epoch of Reionization

Y Qin, AR Duffy, SJ Mutch, GB Poole, PM Geil, PW Angel, A Mesinger, JSB Wyithe

Monthly Notices of the Royal Astronomical Society | OXFORD UNIV PRESS | Published : 2017

Abstract

We investigate how the hydrostatic suppression of baryonic accretion affects the growth rate of dark matter haloes during the Epoch of Reionization. By comparing halo properties in a simplistic hydrodynamic simulation in which gas only cools adiabatically, with its collisionless equivalent, we find that halo growth is slowed as hydrostatic forces prevent gas from collapsing. In our simulations, at the high redshifts relevant for reionization (between ~6 and ~11), haloes that host dwarf galaxies (≲109M⊙) can be reduced by up to a factor of 2 in mass due to the hydrostatic pressure of baryons. Consequently, the inclusion of baryonic effects reduces the amplitude of the low-mass tail of the hal..

View full abstract

University of Melbourne Researchers

Grants

Awarded by National Computational Infrastructure


Funding Acknowledgements

We would like to thank the anonymous referees for providing helpful suggestions that improves the paper substantially. This research was supported by the Victorian Life Sciences Computation Initiative (VLSCI), grant ref. UOM0005, on its Peak Computing Facility hosted at the University of Melbourne, an initiative of the Victorian Government, Australia. Part of this work was performed on the gSTAR national facility at Swinburne University of Technology. gSTAR is funded by Swinburne and the Australian Governments Education Investment Fund. This research programme is funded by the Australian Research Council through the ARC Laureate Fellowship FL110100072 awarded to JSBW. This work was supported by the Flagship Allocation Scheme of the NCI National Facility at the ANU, generous allocations of time through the iVEC Partner Share and Australian Supercomputer Time Allocation Committee. AM acknowledges support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant No. 638809 - AIDA).