The Hydrodynamic Feedback of Cosmic Reionization on Small-Scale Structures and Its Impact on Photon Consumption during the Epoch of Reionization
Hyunbae Park, Paul R. Shapiro, Jun-hwan Choi, Naoki Yoshida, Shingo, Hirano, and Kyungjin Ahn

TL;DR
This study uses advanced radiation-hydrodynamics simulations to quantify how small-scale structures in the intergalactic medium increase recombination rates, significantly impacting the photon budget needed for cosmic reionization.
Contribution
It provides the first detailed quantification of small-scale density structures' hydrodynamic feedback on reionization using high-resolution simulations resolving minihalos.
Findings
High clumping factors (>10) boost recombination rates during reionization.
Small-scale structures can add more than one recombination per hydrogen atom.
Recombination rate depends on ionizing intensity, redshift, and density contrast.
Abstract
Density inhomogeneity in the intergalactic medium (IGM) can boost the recombination rate of ionized gas substantially, affecting the growth of HII regions during reionization. Previous attempts to quantify this effect typically failed to resolve down to the Jeans scale in the pre-ionization IGM, which is important in establishing this effect, along with the hydrodynamical back-reaction of reionization on it. Towards that end, we perform a set of fully-coupled, radiation-hydrodynamics simulations from cosmological initial conditions, extending the mass resolution of previous work to the scale of minihalos. Pre-reionization structure is evolved until a redshift at which the ionizing radiation from external sources arrives to sweep an R-type ionization front supersonically across the volume in a few Myr, until it is trapped on the surfaces of minihalos and converted to D-type, after…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
