Detecting the power spectrum turnover with HI intensity mapping
Steven Cunnington
备注：
18 pages, 10 figures. See Fig 4 for main forecast of turnover detection for different HI IM surveys. See Fig 7 for constraints possible on turnover scale and Fig 8 for demo of how this can be used for cosmology. Accepted for publication in MNRAS. Minor grammatical edits made for V2 in response to editors' final proofs
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$\,{\rm deg}^2$ survey using the UHF-band is capable of a $3.1σ$ 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 ${\sim}1σ$ in MeerKAT's L-band but can reach ${\sim}13σ$ with the SKAO, which should easily surpass the constraints from future Stage-IV-like spectroscopic galaxy surveys. We also propose a new model-independent methodology for constraining the precise turnover scale ($k_0$) and our tests on UHF-band simulated data achieved a precision of 10%. This improved to 2.4% when using the full SKAO. We demonstrate how the results are robust to foreground contamination by using transfer functions, even when an incorrect cosmology has been assumed in their construction. Given that the turnover is related to the horizon scale at matter-radiation equality, a sufficiently precise constraint of $k_0$ presents the possibility for a novel probe of cosmology. We therefore present a potential methodology for constructing a standard-ruler-based distance measurement, independent of the sound horizon, using the turnover location in the HI power spectrum.
Detecting redshift space distortions with forthcoming 21cm intensity maps from MeerKLASS
University of Portsmouth（朴茨茅斯大学）；The University of Edinburgh（爱丁堡大学）；Instituto de Física de Cantabria (IFCA), CSIC-Univ. de Cantabria（坎塔布里亚物理研究所（IFCA），西班牙科学研究中心-坎塔布里亚大学）
Detecting the signature of helium reionization through 3HeII 3.46cm line-intensity mapping
Heidelberg University（海德堡大学）；Universität Bonn, Argelander-Institut für Astronomie（波恩大学阿根兰德天文学研究所）；SISSA, International School for Advanced Studies（国际高等研究院）；Università di Trieste（的里雅斯特大学）；IFPU, Institute for Fundamental Physics of the Universe（宇宙基础物理研究所）；Max-Planck-Institut für Astronomie（马克斯·普朗克天文学研究所）；Kavli IPMU (WPI), UTIAS, The University of Tokyo（东京大学 Kavli 宇宙粒子与天体物理学研究所）；Aix Marseille Univ, CNRS, CNES, LAM（艾克斯-马赛大学）；INAF – Astronomical Observatory of Trieste（意大利国家天体物理研究所的里雅斯特天文台）
