Two shadows on two backlights: forecasting the Ly-$\alpha$ forest $\times$ CMB Lensing bispectrum from ACT/SO/S4 & DESI

TL;DR

This paper forecasts the potential of future CMB lensing and Lyman-alpha forest bispectrum measurements to probe large-scale matter distribution, highlighting expected signal-to-noise ratios and challenges due to modeling uncertainties.

Contribution

It provides the first detailed forecast of the Lyman-alpha forest and CMB lensing bispectrum detection prospects with upcoming surveys, including necessary simulation features.

Findings

Forecasted SNR of 10.3, 14.8, and 20.2 for DESI combined with ACT, SO, and CMB-S4.

Detection at SNR ≥ 5 in 5 redshift bins for DESI with SO/CMB-S4.

Large theoretical uncertainties currently limit precise cosmological interpretation.

Abstract

We forecast the sensitivity of future correlations between CMB lensing and the Lyman-$\alpha$ forest power spectrum. This squeezed-limit bispectrum probes the connection between the Lyman-$\alpha$ transmission and the underlying large-scale matter density field. We recover the measured signal-to-noise (SNR) ratio obtained with Planck$\times$BOSS, and forecast a SNR of $10.3, 14.8$ and $20.2$ for DESI combined with ACT, SO and CMB-S4 respectively. For DESI and SO/CMB-S4, the correlation should be detectable at SNR$\ge 5$ in 5 redshift bins, useful for distinguishing our signal from several contaminants.Indeed, our forecast is affected by large theoretical uncertainties in the current modeling of the signal and its contaminants, such as continuum misestimation bias or damped-Lyman-$\alpha$ absorbers. Quantifying these more accurately will be crucial to enable a reliable cosmological interpretation of this observable in future measurements. We attempt to enumerate the features required in future Lyman-$\alpha$ forest simulations required to do so.