Prospects for measuring dark energy with 21 cm intensity mapping experiments: A joint survey strategy

被引:0
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作者
Peng-Ju Wu
Yichao Li
Jing-Fei Zhang
Xin Zhang
机构
[1] Northeastern University,Key Laboratory of Cosmology and Astrophysics (Liaoning Province) & Department of Physics, College of Sciences
[2] Northeastern University,Key Laboratory of Data Analytics and Optimization for Smart Industry (Ministry of Education)
[3] Northeastern University,National Frontiers Science Center for Industrial Intelligence and Systems Optimization
关键词
neutral hydrogen sky survey; 21 cm intensity mapping; dark energy; large-scale structure; joint survey strategy;
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摘要
The 21 cm intensity mapping (IM) technique provides us with an efficient way to observe the cosmic large-scale structure (LSS). From the LSS data, one can use the baryon acoustic oscillation and redshift space distortion to trace the expansion and growth history of the universe, and thus measure the dark energy parameters. In this paper, we make a forecast for cosmological parameter estimation with the synergy of three 21 cm IM experiments. Specifically, we adopt a novel joint survey strategy, FAST (0 < z < 0.35) + SKA1-MID (0.35 < z < 0.8) + HIRAX (0.8 < z < 2.5), to measure dark energy. We simulate the 21 cm IM observations under the assumption of excellent foreground removal. We find that the synergy of three experiments could place quite tight constraints on cosmological parameters. For example, it provides σ(Ωm) = 0.0039 and σ(H0) = 0.27 km s−1 Mpc−1 in the ACDM model. Notably, the synergy could break the cosmological parameter degeneracies when constraining the dynamical dark energy models. Concretely, the joint observation offers σ(w) = 0.019 in the wCDM model, and σ(w0) = 0.085 and σ(wa) = 0.32 in the w0waCDM model. These results are better than or equal to those given by CMB+BAO+SN. In addition, when the foreground removal efficiency is relatively low, the strategy still performs well. Therefore, the 21 cm IM joint survey strategy is promising and worth pursuing.
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