Detecting the power spectrum turnover with HI intensity mapping
Steven Cunnington

TL;DR
This paper demonstrates that HI intensity mapping surveys, especially with SKAO, can detect the power spectrum turnover at ultra-large scales, providing a new cosmological probe and a model-independent method to measure the turnover scale.
Contribution
It introduces a novel methodology for detecting the power spectrum turnover with HI IM and assesses its potential for precise cosmological measurements.
Findings
MeerKAT UHF-band survey can detect the turnover at 3.1σ significance.
SKAO can achieve a 13σ detection of the turnover.
The proposed method constrains the turnover scale with 2.4% precision using SKAO data.
Abstract
A goal for pathfinder intensity mapping (IM) surveys will be detecting features in the neutral hydrogen (HI) power spectrum, which serve as conclusive evidence of cosmological signals. Observing such features at the expected scales in HI IM auto-correlations, where contribution from systematics is uncertain, will provide a more convincing cosmological detection. We demonstrate how the turnover, i.e. the peak of the power spectrum at ultra-large scales, can be detected with HI IM. We find that a MeerKAT 4,000 survey using the UHF-band is capable of a detection of the turnover, relative to a null model power spectrum with no turnover. This should exceed what is capable by current galaxy surveys in optical and near-infrared. The detection significance falls to in MeerKAT's L-band but can reach with the SKAO, which should easily…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
