Forecasting the Ly- α forest × CMB lensing bispectrum from ACT, SO, S4, and DESI

La Posta, Adrien; Schaan, Emmanuel

doi:10.1103/9x9x-pqqm

Forecasting the Ly- α forest × CMB lensing bispectrum from ACT, SO, S4, and DESI

Journal Article · Tue Sep 16 00:00:00 EDT 2025 · Physical Review D

DOI:https://doi.org/10.1103/9x9x-pqqm· OSTI ID:2998760

^[1]; ^[2]

University of Oxford; Université Paris-Saclay; IJCLab
Kavli Institute for Particle Astrophysics and Cosmology; SLAC National Accelerator Laboratory

We forecast the sensitivity of future correlations between cosmic microwave background (CMB) lensing and the Lyman-α forest power spectrum. This squeezed-limit bispectrum probes the connection between the Lyman-α transmission and the underlying large-scale matter density field. We recover the measured signal-to-noise (SNR) ratio obtained with Planck×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≥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-α 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-α forest simulations required to do so.

View Accepted Manuscript (DOE)

Research Organization:: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)

Sponsoring Organization:: U.S. Department of Energy

Grant/Contract Number:: AC02-76SF00515

OSTI ID:: 2998760

Journal Information:: Physical Review D, Journal Name: Physical Review D Journal Issue: 6 Vol. 112; ISSN 2470-0010; ISSN 2470-0029

Publisher:: American Physical Society (APS)Copyright Statement

Country of Publication:: United States

Language:: English

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