The effect of non-Gaussianity on error predictions for the Epoch of Reionization (EoR) 21-cm power spectrum

TL;DR

This paper investigates how non-Gaussianity during the Epoch of Reionization impacts error predictions for the 21-cm power spectrum, revealing a saturation limit on SNR and providing a new fitting formula for more accurate sensitivity forecasts.

Contribution

It introduces a model accounting for non-Gaussian effects on error predictions, including a saturation SNR limit and a fitting formula for practical use.

Findings

Non-Gaussianity imposes an upper SNR limit that cannot be surpassed regardless of mode number.

The saturation SNR decreases as reionization progresses, from about 500 to 10.

A fitting formula relates SNR to mode number with parameters derived from simulations.

Abstract

The Epoch of Reionization (EoR) 21-cm signal is expected to become increasingly non-Gaussian as reionization proceeds. We have used semi-numerical simulations to study how this affects the error predictions for the EoR 21-cm power spectrum. We expect $SNR=\sqrt{N_k}$ for a Gaussian random field where $N_k$ is the number of Fourier modes in each $k$ bin. We find that non-Gaussianity is important at high $SNR$ where it imposes an upper limit $[SNR]_l$. For a fixed volume $V$, it is not possible to achieve $SNR > [SNR]_l$ even if $N_k$ is increased. The value of $[SNR]_l$ falls as reionization proceeds, dropping from $\sim 500$ at $\bar{x}_{HI} = 0.8-0.9$ to $\sim 10$ at $\bar{x}_{HI} = 0.15 $ for a $[150.08\, {\rm Mpc}]^3$ simulation. We show that it is possible to interpret $[SNR]_l$ in terms of the trispectrum, and we expect $[SNR]_l \propto \sqrt{V}$ if the volume is increased. For $SNR \ll [SNR]_l$ we find $SNR = \sqrt{N_k}/A $ with $A \sim 0.95 - 1.75$, roughly consistent with the Gaussian prediction. We present a fitting formula for the $SNR$ as a function of $N_k$, with two parameters $A$ and $[SNR]_l$ that have to be determined using simulations. Our results are relevant for predicting the sensitivity of different instruments to measure the EoR 21-cm power spectrum, which till date have been largely based on the Gaussian assumption.