paper

Forecasting local Primordial Non-Gaussianities from UNIONS Lyman-Break Galaxies and Planck CMB lensing

arXiv:2511.22243 · doi:10.1051/0004-6361/202558373

Abstract

Local Primordial non-Gaussianities (PNGs), characterized by , provide a powerful window into the physics of inflation. Cross-correlating high-redshift tracer samples with the CMB lensing potential offers a particularly robust probe of PNGs, mitigating imaging systematics that typically affect large-scale measurements from tracer auto-spectra. In this context, UNIONS enables the selection of -dropout high-redshift Lyman-Break Galaxies (LBGs). We perform a MCMC-based forecast to estimate the uncertainties on and on a galaxy bias parameter, which captures our uncertainty in the tracer bias. From the angular cross-power spectrum between LBGs and Planck CMB lensing, we forecast for an idealized photometric sample of LBGs selected with a Random Forest classification algorithm from UNIONS-like imaging, with a resulting surface density of deg. This precision can be improved to after spectroscopic follow-up with DESI, during its next phase starting in 2029, DESI-II. We test a more realistic -dropout LBG selection using early UNIONS data, which yields a denser sample of objects at deg. From this sample, covering a larger footprint and expected to have a higher large-scale galaxy bias, we forecast , with similar precision achievable after DESI spectroscopic follow-up. In addition, we perform preliminary validation of the redshift distribution using the clustering-redshift method with DESI DR1 data, confirming the calibration from deep, small-area photometric fields. However, accounting for uncertainties in the clustering-redshift distribution significantly degrades the constraining power.

15 pages, 9 figures, 1 table, accepted for publication in Astronomy & Astrophysics (abstract shortened for ArXiv)

Forecasting local Primordial Non-Gaussianities from UNIONS Lyman-Break Galaxies and Planck CMB lensing · wovepaper