Multi-wavelength spectroscopic probes: prospects for primordial non-Gaussianity and relativistic effects

TL;DR

Next-generation multi-wavelength spectroscopic surveys, combining 21cm intensity mapping and optical galaxy data, can significantly improve constraints on primordial non-Gaussianity and relativistic effects by using cross-correlations and Fisher analysis.

Contribution

This paper introduces a comprehensive framework using angular power spectra and multi-tracer cross-correlations to forecast constraints on primordial non-Gaussianity and relativistic effects in upcoming surveys.

Findings

Forecasted $\sigma(f_{ m NL}) ext{ around }1.5$ with combined surveys.

Detected Doppler effects with a signal-to-noise ratio of about 8.

Measured lensing convergence contribution at approximately 2 ext% precision.

Abstract

Next-generation cosmological surveys will observe larger cosmic volumes than ever before, enabling us to access information on the primordial Universe, as well as on relativistic effects. We consider forthcoming 21cm intensity mapping surveys (SKAO) and optical galaxy surveys (DESI and Euclid), combining the information via multi-tracer cross-correlations that suppress cosmic variance on ultra-large scales. In order to fully incorporate wide-angle effects and redshift-bin cross-correlations, together with lensing magnification and other relativistic effects, we use the angular power spectra, $C_\ell(z_i,z_j)$. Applying a Fisher analysis, we forecast the expected precision on $f_{\rm NL}$ and the detectability of lensing and other relativistic effects. We find that the full combination of two pairs of 21cm and galaxy surveys, one pair at low redshift and one at high redshift, could deliver $\sigma(f_{\rm NL})\sim 1.5$, detect the Doppler effect with a signal-to-noise ratio $\sim$8 and measure the lensing convergence contribution at $\sim$2\% precision. In a companion paper, we show that the best-fit values of $f_{\rm NL}$ and of standard cosmological parameters are significantly biased if the lensing contribution neglected.