The Impact of Cosmic Variance on Inferences of Global Neutral Fraction Derived from Ly$\alpha$ Luminosity Functions During Reionization

Abstract

We investigate the impact of field-to-field variation, deriving from cosmic variance, in measured Lyman-$\alpha$ emitter (LAE) luminosity functions (LFs) and this variation's impact on inferences of the neutral fraction of the intergalactic medium (IGM) during reionization. We post-process a z=7 IGM simulation to populate the dark matter halos with LAEs. These LAEs have realistic UV magnitudes, Ly$\alpha$ fluxes, and Ly$\alpha$ line profiles. We calculate the attenuation of Ly$\alpha$ emission in universes with varying IGM neutral fraction, ${\bar{\mathrm{x}}}_{\mathrm{HI}}$. In a ${\bar{\mathrm{x}}}_{\mathrm{HI}}=0.3$ simulation, we perform 100 realizations of a mock 2 square degree survey with a redshift window $\Delta z=0.5$ and flux limit ${\mathrm{f}}_{\mathrm{Ly}\alpha }>1\times 10^{-17}\mathrm{ergs}{\mathrm{s}}^{-1}{\mathrm{cm}}^{-2}$; such a survey is typical in depth and volume of the largest LAE surveys conducted today. For each realization, we compute the LAE LF and use it to recover the input ${\bar{\mathrm{x}}}_{\mathrm{HI}}$. Comparing the inferred values of ${\bar{\mathrm{x}}}_{\mathrm{HI}}$ across the ensemble of the surveys, we find that cosmic variance, deriving from large-scale structure and variation in the neutral gas along the sightline, imposes a floor in the uncertainty of $\Delta {\bar{\mathrm{x}}}_{\mathrm{HI}}\sim 0.2$ when ${\bar{\mathrm{x}}}_{\mathrm{HI}}$ $=0.3$. We explore mitigation strategies to decrease this uncertainty, such as increasing the volume, decreasing the flux limit, or probing the volume with many independent fields. Increasing the area and/or depth of the survey does not mitigate the uncertainty, but composing a survey with many independent fields is effective. This finding highlights the best strategy for LAE surveys aiming at constraining ${\bar{\mathrm{x}}}_{\mathrm{HI}}$ of the universe during reionization.

arXiv comment17 pages, 13 figures

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