English

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

Cosmology and Nongalactic Astrophysics 2026-03-25 v2

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 Λ\LambdaCDM cosmology and extensions to the w0waw_0w_aCDM 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 (Ωbh2\Omega_b h^2, Ωch2\Omega_c h^2, 100θs100\theta_s, nsn_s, ln1010As\ln 10^{10} A_s, and τr\tau_r) alongside 60 HI parameters (bHIib_{\rm HI}^i, ΩHIibHIi\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 \sim40\% 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 (w0w_0, waw_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.

Keywords

Cite

@article{arxiv.2601.10152,
  title  = {The BINGO project X. Cosmological parameter constraints from HI Intensity Mapping lognormal simulations},
  author = {Pablo Motta and Filipe B. Abdalla and Camila P. Novaes and Elcio Abdalla and Jiajun Zhang and Gabriel A. Hoerning and Alessandro Marins and Eduardo J. de Mericia and Luiza O. Ponte and Amilcar R. Queiroz and Thyrso Villela and Bin Wang and Carlos A. Wuensche and Chang Feng and Edmar C. Gurjão},
  journal= {arXiv preprint arXiv:2601.10152},
  year   = {2026}
}