Hi intensity mapping with MeerKAT: Primary beam effects on foreground cleaning
Siyambonga D. Matshawule, Marta Spinelli, Mario G. Santos and, Sibonelo Ngobese

TL;DR
This study investigates how realistic primary beam effects, including frequency dependence and sidelobes, impact foreground cleaning in HI intensity mapping with MeerKAT, highlighting potential biases and mitigation strategies.
Contribution
It introduces a detailed simulation of MeerKAT's beam effects on foreground cleaning, revealing challenges and solutions for accurate cosmological signal recovery.
Findings
Coupling of sidelobes with foregrounds complicates cleaning.
Smooth beam frequency dependence allows effective cleaning with source removal.
Frequency ripples in the beam can bias the signal, but are manageable with re-smoothing.
Abstract
Upcoming and future neutral hydrogen Intensity Mapping surveys offer a great opportunity to constrain cosmology in the post-reionization Universe, provided a good accuracy is achieved in the separation between the strong foregrounds and the cosmological signal. Cleaning methods rely on the frequency smoothness of the foregrounds and are often applied under the assumption of a simplistic Gaussian primary beam. In this work, we test the cleaning in the presence of a realistic primary beam model with a non trivial frequency dependence. We focus on the Square Kilometre Array precursor MeerKAT telescope and simulate a single-dish wide area survey. We consider the main foreground components, including an accurate full sky point source catalogue. We find that the coupling between beam sidelobes and the foreground structure can complicate the cleaning. However, when the beam frequency…
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