Extracting bias using the cross-bispectrum: An EoR and 21 cm-[CII]-[CII] case study
Angus Beane, Adam Lidz

TL;DR
This paper presents a novel method using the 21 cm-[CII]-[CII] cross-bispectrum to extract the bias factor during the Epoch of Reionization, offering robustness against foreground contamination and broad applicability.
Contribution
It introduces a bispectrum-based technique to measure the 21 cm bias factor that is less sensitive to foregrounds and validated with simulations, applicable across cosmic history.
Findings
The method accurately recovers <T_21> b_21(z) within 10% on large scales.
The cross-bispectrum is less affected by foreground contamination than auto-spectrum.
Simulations confirm the perturbative estimate's validity for <x_i> <~ 0.8.
Abstract
The amplitude of redshifted 21 cm fluctuations during the Epoch of Reionization (EoR) is expected to show a distinctive "rise and fall" behavior with decreasing redshift as reionization proceeds. On large scales (k <~ 0.1 Mpc^{-1}) this can mostly be characterized by evolution in the product of the mean 21 cm brightness temperature and a bias factor, b_21(z). This quantity evolves in a distinctive way that can help in determining the average ionization history of the intergalactic medium (IGM) from upcoming 21 cm fluctuation data sets. Here we consider extracting <T_21> b_21(z) using a combination of future redshifted 21 cm and [CII] line-intensity mapping data sets. Our method exploits the dependence of the 21 cm-[CII]-[CII] cross-bispectrum on the shape of triangle configurations in Fourier space. This allows one to determine <T_21> b_21(z) yet, importantly, is less sensitive to…
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