HI intensity mapping with MeerKAT: power spectrum detection in cross-correlation with WiggleZ galaxies
Steven Cunnington, Yichao Li, Mario G. Santos, Jingying Wang, Isabella, P. Carucci, Melis O. Irfan, Alkistis Pourtsidou, Marta Spinelli, Laura Wolz,, Paula S. Soares, Chris Blake, Philip Bull, Brandon Engelbrecht, Jos\'e, Fonseca, Keith Grainge, Yin-Zhe Ma

TL;DR
This paper reports the first detection of cross-correlation between MeerKAT radio intensity maps and WiggleZ galaxy data, demonstrating the viability of intensity mapping for cosmology and constraining the HI density and bias.
Contribution
It presents the first practical detection of HI intensity mapping through cross-correlation with galaxy surveys using MeerKAT, advancing the methodology for future SKAO cosmology studies.
Findings
7.7 sigma detection of cross-correlation power spectrum
Constraint on the product of HI density fraction, bias, and correlation coefficient
Demonstration of multi-dish auto-correlation intensity mapping for cosmology
Abstract
We present a detection of correlated clustering between MeerKAT radio intensity maps and galaxies from the WiggleZ Dark Energy Survey. We find a detection of the cross-correlation power spectrum, the amplitude of which is proportional to the product of the HI density fraction (), HI bias () and the cross-correlation coefficient (). We therefore obtain the constraint , at an effective scale of . 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 hours of observations using MeerKAT's L-band receivers over six nights covering the 11hr field of WiggleZ, in the frequency…
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