4.7 Article

Impact of astrophysics on cosmology forecasts for 21 cm surveys

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 485, Issue 3, Pages 4060-4070

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stz683

Keywords

cosmology: observations; cosmology: theory; radio lines: galaxies

Funding

  1. Tomalla Foundation

Ask authors/readers for more resources

We use the results of previous work building a halo model formalism for the distribution of neutral hydrogen, along with experimental parameters of future radio facilities, to place forecasts on astrophysical and cosmological parameters from next-generation surveys. We consider 21 cm intensity mapping surveys conducted using the BINGO, CHIME, FAST, TianLai, MeerKAT, and SKA experimental configurations. We work with the five-parameter cosmological data set of {Omega(m), sigma(8), h, n(s), Omega(b)} assuming a flat Lambda CDM model, and the astrophysical parameters {v(c,0), beta} which represent the cut-off and slope of the HI-halo mass (HIHM) relation. We explore (i) quantifying the effects of the astrophysics on the recovery of the cosmological parameters, (ii) the dependence of the cosmological forecasts on the details of the astrophysical parametrization, and (iii) the improvement of the constraints on probing smaller scales in the HI power spectrum. For an SKA I MID intensity mapping survey alone, probing scales up to l(max) = 1000, we find a factor of 1.1-1.3 broadening in the constraints on Omega(b) and Omega(m), and of 2.4-2.6 on h, n(s) and sigma(8), if we marginalize over astrophysical parameters without any priors. However, even the prior information coming from the present knowledge of the astrophysics largely alleviates this broadening. These findings do not change significantly on considering an extended HIHM relation, illustrating the robustness of the results to the choice of the astrophysical parametrization. Probing scales up to l(max) = 2000 improves the constraints by factors of 1.5-1.8. The forecasts improve on increasing the number of tomographic redshift bins, saturating, in many cases, with 4-5 redshift bins. We also forecast constraints for intensity mapping with other experiments, and draw similar conclusions.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available