dc.contributor.author | Cunnington, Steven | |
dc.contributor.author | Li, Yichao | |
dc.contributor.author | Santos, Mario G. | |
dc.date.accessioned | 2023-03-16T09:29:00Z | |
dc.date.available | 2023-03-16T09:29:00Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Cunnington, S. et al. (2023). H I intensity mapping with MeerKAT: Power spectrum detection in cross-correlation with WiggleZ galaxies. Monthly Notices of the Royal Astronomical Society, 518(4), 6262–6272. https://doi.org/10.1093/mnras/stac3060 | en_US |
dc.identifier.issn | 1365-2966 | |
dc.identifier.uri | https://doi.org/10.1093/mnras/stac3060 | |
dc.identifier.uri | http://hdl.handle.net/10566/8603 | |
dc.description.abstract | We present a detection of correlated clustering between MeerKAT radio intensity maps and galaxies from the WiggleZ Dark Energy Survey. We find a 7.7σ detection of the cross-correlation power spectrum, the amplitude of which is proportional to the product of the HI
density fraction (ΩHI
), HI
bias (bHI
), and the cross-correlation coefficient (r). We therefore obtain the constraint ΩHIbHIr=[0.86±0.10(stat)±0.12(sys)]×10−3
, at an effective scale of keff ∼ 0.13hMpc−1
. The intensity maps were obtained from a pilot survey with the MeerKAT telescope, a 64-dish pathfinder array to the SKA Observatory (SKAO). The data were collected from 10.5 h of observations using MeerKAT’s L-band receivers over six nights covering the 11 h field of WiggleZ, in the frequency range 1015–973 MHz (0.400 <z<
0.459 in redshift). | en_US |
dc.language.iso | en | en_US |
dc.publisher | Oxford University Press | en_US |
dc.subject | Physics | en_US |
dc.subject | Astronomy | en_US |
dc.subject | Cosmology | en_US |
dc.subject | Dark energy | en_US |
dc.subject | Radio frequencies | en_US |
dc.title | H I intensity mapping with MeerKAT: Power spectrum detection in cross-correlation with WiggleZ galaxies | en_US |
dc.type | Article | en_US |