# The impact of inhomogeneous subgrid clumping on cosmic reionization

## TL;DR

This paper investigates how inhomogeneous subgrid clumping affects cosmic reionization, showing that accounting for local variations delays reionization and alters observable signals, with a simplified uniform clumping model providing a reasonable approximation.

## Contribution

It introduces a high-resolution simulation to derive a local clumping factor and demonstrates its significant impact on reionization timing and observables, improving modeling accuracy.

## Key findings

- Inhomogeneous clumping delays reionization completion.
- Boosted recombination suppresses large-scale 21 cm power spectra.
- Uniform clumping approximation predicts observables within 20% accuracy.

## Abstract

Cosmic reionization was driven by the imbalance between early sources and sinks of ionizing radiation, both of which were dominated by small-scale structure and are thus usually treated in cosmological reionization simulations by subgrid modelling. The recombination rate of intergalactic hydrogen is customarily boosted by a subgrid clumping factor, ${\left<n^2\right>/\left<n\right>^2}$, which corrects for unresolved fluctuations in gas density ${n}$ on scales below the grid-spacing of coarse-grained simulations. We investigate in detail the impact of this inhomogeneous subgrid clumping on reionization and its observables, as follows: (1) Previous attempts generally underestimated the clumping factor because of insufficient mass resolution. We perform a high-resolution $N$-body simulation that resolves haloes down to the pre-reionization Jeans mass to derive the time-dependent, spatially-varying local clumping factor and a fitting formula for its correlation with local overdensity. (2) We then perform a large-scale $N$-body and radiative transfer simulation that accounts for this inhomogeneous subgrid clumping by applying this clumping factor-overdensity correlation. Boosting recombination significantly slows the expansion of ionized regions, which delays completion of reionization and suppresses 21 cm power spectra on large scales in the later stages of reionization. (3) We also consider a simplified prescription in which the globally-averaged, time-evolving clumping factor from the same high-resolution $N$-body simulation is applied uniformly to all cells in the reionization simulation, instead. Observables computed with this model agree fairly well with those from the inhomogeneous clumping model, e.g. predicting 21 cm power spectra to within 20% error, suggesting it may be a useful approximation.