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arXiv · 0709.2362

Radiation-induced large-scale structure during the reionization epoch: the autocorrelation function

Abstract

The structures produced during the epoch of reionization by the action of radiation on neutral hydrogen are in principle different to those that arise through gravitational growth of initially small perturbations. We explore the difference between the two mechanisms using high resolution cosmological radiative transfer. Our computations use a Monte Carlo code which raytraces directly through SPH kernels without a grid, preserving the high spatial resolution of the underlying hydrodynamic simulation. Because the properties of the first sources of radiation are uncertain, we simulate a range of models with different source properties and recombination physics. We examine the morphology of the neutral hydrogren distribution and the reionization history in these models. We find that at fixed mean neutral fraction, structures are visually most affected by the existence of a lower limit in source luminosity, then by galaxy mass to light ratio, and are minimally affected by changes in the recombination rate and amplitude of mass fluctuations. We concentrate on the autocorrelation function of the neutral hydrogen, xi_HI(r) as a basic quantitive measure of Radiation Induced Structure (RIS.) All the models we test exhibit a characteristic behaviour, with xi_HI(r) becoming initially linearly antibiased with respect to the matter correlation function, reaching a minimum bias factor b~0.5 when the universe is ~10-20% ionized. After this xi_HI(r) increases rapidly in amplitude, overtaking the matter correlation function. It keeps a power law shape, but flattens considerably, reaching an asymptotic logarithmic slope of gamma ~-0.5. The growth rate of HI fluctuations is exponentially more rapid than gravitational growth over a brief interval of redshift Deltaz ~ 2-3.

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Rupert A. C. Croft, Gabriel Altay. 2007-09-14. Radiation-induced large-scale structure during the reionization epoch: the autocorrelation function. https://doi.org/10.1111/j.1365-2966.2008.13513.x

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