The BINGO project X. Cosmological parameter constraints from HI Intensity Mapping lognormal simulations

TL;DR

The paper evaluates BINGO, a novel HI intensity mapping experiment, using simulations to forecast its ability to constrain cosmological parameters and dark energy models, showing it can significantly improve parameter precision when combined with Planck data.

Contribution

This study provides the first detailed cosmological forecasts for BINGO using lognormal simulations, incorporating systematics and Bayesian inference to assess its potential.

Findings

BINGO combined with Planck data reduces parameter uncertainties by ~60%.

BINGO constrains the evolution of HI density and dark energy parameters.

Simulations show BINGO's competitive potential with existing cosmological surveys.

Abstract

Context. Building on the transformative success of optical redshift surveys, the emerging technique of neutral hydrogen (HI) intensity mapping (IM) offers a novel probe of large-scale structure (LSS) growth and the late-time accelerated expansion of the universe. Aims. We present cosmological forecasts for the Baryon Acoustic Oscillations from Integrated Neutral Gas Observations (BINGO), a pioneering HI IM experiment, quantifying its potential to constrain the Planck-calibrated $\Lambda$CDM cosmology and extensions to the $w_0w_a$CDM dark energy model. Methods. For BINGO's Phase~1 configuration, we simulate the HI IM signal using a lognormal model and incorporate three dominant systematics: foreground residuals, thermal noise, and beam resolution effects. Using Bayesian inference, we derive joint constraints on six cosmological parameters ($\Omega_b h^2$, $\Omega_c h^2$, $100\theta_s$, $n_s$, $\ln 10^{10} A_s$, and $\tau_r$) alongside 60 HI parameters ($b_{\rm HI}^i$, $\Omega_{\rm HI}^i b_{\rm HI}^i$) across 30 frequency channels. Results. Our results demonstrate that combining BINGO with the Planck 2018 CMB dataset tightens the confidence regions of cosmological parameters to $\sim$40\% the size of those from Planck alone, significantly improving the precision of parameter estimation. Furthermore, BINGO constrains the redshift evolution of HI density and delivers competitive measurements of the dark energy equation of state parameters ($w_0$, $w_a$). Conclusions. These results demonstrate BINGO's potential to extract significant cosmological information from the HI distribution and provide constraints competitive with current and future cosmological surveys.