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A hybrid multiresolution scheme to efficiently model the structure of reionization on the largest scales.

Kim, H.-S. and Wyithe, J. S. B. and Park, J. and Poole, G. B. and Lacey, C. G. and Baugh, C. M. (2016) 'A hybrid multiresolution scheme to efficiently model the structure of reionization on the largest scales.', Monthly notices of the Royal Astronomical Society., 455 (4). pp. 4498-4511.

Abstract

Redshifted 21-cm measurements of the structure of ionized regions that grow during reionization promise to provide a new probe of early galaxy and structure formation. One of the challenges of modelling reionization is to account both for the subhalo scale physics of galaxy formation and the regions of ionization on scales that are many orders of magnitude larger. To bridge this gap we first calculate the statistical relationship between ionizing luminosity and Mpc-scale overdensity using detailed models of galaxy formation computed using relatively small volume – (∼100 Mpc h−1)3, high-resolution dark matter simulations. We then use a Monte Carlo technique to apply this relationship to reionization of the intergalactic medium within large volume dark matter simulations – (>1 Gpc h−1)3. The resulting simulations can be used to address the contribution of very large scale clustering of galaxies to the structure of reionization, and show that volumes larger than 500 Mpc h−1 are required to probe the largest reionization features mid-way through reionization. As an example application of our technique, we demonstrate that the predicted 21-cm power spectrum amplitude and gradient could be used to determine the importance of supernovae feedback for early galaxy formation.

Item Type:Article
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Status:Peer-reviewed
Publisher Web site:http://dx.doi.org/10.1093/mnras/stv2623
Publisher statement:This article has been published 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 reserved.
Date accepted:05 November 2015
Date deposited:07 April 2016
Date of first online publication:10 December 2015
Date first made open access:07 April 2016

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