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Prospects for cosmological research with the FAST array: 21-cm intensity mapping survey observation strategies

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arxiv 2408.00268 v2 pith:243MYRK3 submitted 2024-08-01 astro-ph.CO gr-qchep-ph

classification astro-ph.COgr-qchep-ph
keywords fastcosmologicalarrayfastaachievecomparedintensitymapping
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abstract

Precise cosmological measurements are essential for understanding the evolution of the universe and the nature of dark energy. The Five-hundred-meter Aperture Spherical Telescope (FAST), the most sensitive single-dish radio telescope, has the potential to provide the precise cosmological measurements through neutral hydrogen 21-cm intensity mapping sky survey. This paper primarily explores the potential of technological upgrades for FAST in cosmology. The most crucial upgrade begins with equipping FAST with a wide-band receiver ($0 < z < 2.5$). This upgrade can enable FAST to achieve higher precision in cosmological parameter estimation than the Square Kilometre Array Phase-1 Mid frequency. On this basis, expanding to a FAST array (FASTA) consisting of six identical FASTs would offer significant improvements in precision compared to FAST. Additionally, compared with the current results from the data combination of cosmic microwave background, baryon acoustic oscillations (optical galaxy surveys), and type Ia supernovae, FASTA can provide comparable constraints. Specifically, for the dark-energy equation-of-state parameters, FASTA can achieve $\sigma(w_0) = 0.09$ and $\sigma(w_a) = 0.33$.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. FAST drift scan survey for HI intensity mapping: simulation on Bayesian-stacking-based HI mass function estimation

    astro-ph.CO 2025-01 conditional novelty 5.0 of 10

    Using IllustrisTNG simulations, the authors forecast that Bayesian stacking of FAST HI intensity mapping data can measure the HI mass function for red and blue galaxies with a pilot survey, and that sample variance, n...

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