The cross-correlation between 21cm intensity mapping maps and the Lyman-alpha forest in the post-reionization era

TL;DR

This study uses hydrodynamic simulations to analyze the cross-correlation between 21cm intensity maps and the Lyman-alpha forest, revealing anti-correlation on large scales and potential for improved parameter estimation and systematics detection.

Contribution

It demonstrates the feasibility of using cross-correlation between 21cm and Lyman-alpha data to probe neutral hydrogen distribution and improve cosmological parameter constraints.

Findings

Fields are anti-correlated on large scales.

Cross-correlation can reduce errors in bias and distortion parameters by 30%.

Detection of the cross-power spectrum is feasible with upcoming surveys.

Abstract

We investigate the cross-correlation signal between 21cm intensity mapping maps and the Lyman-alpha forest in the fully non-linear regime using state-of-the-art hydrodynamic simulations. The cross-correlation signal between these fields can provide a coherent and comprehensive picture of the neutral hydrogen (HI) content of our Universe in the post-reionization era, probing both its mass content and volume distribution. We compute the auto-power spectra of both fields together with their cross-power spectrum at z = 2.4 and find that on large scales the fields are completely anti-correlated. This anti-correlation arises because regions with high (low) 21cm emission, such as those with a large (low) concentration of damped Lyman-alpha systems, will show up as regions with low (high) transmitted flux. We find that on scales smaller than k = 0.2 h/Mpc the cross-correlation coefficient departs from -1, at a scale where non-linearities show up. We use the anisotropy of the power spectra in redshift-space to determine the values of the bias and of the redshift-space distortion parameters of both fields; we find that the errors on the value of these parameters could decrease by 30% when adding data from the cross-power spectrum in a conservative analysis. Our results point out that linear theory is capable of reproducing the shape and amplitude of the cross-power up to rather non-linear scales. Finally, we find that the 21cm-Lya cross-power spectrum can be detected by combining data from a BOSS-like survey together with 21cm intensity mapping observations by SKA1-MID with a S/N ratio higher than 3 in the range 0.06< k <1 h/Mpc. We emphasize that while the shape and amplitude of the 21cm auto-power spectrum can be severely affected by residual foreground contamination, cross-power spectra will be less sensitive to that and therefore can be used to identify systematics in the 21cm maps.