34 citations · 34 across the 2 of their papers we have counts for
2 papers
astro-ph.CO2023
The stability of deep learning for 21cm foreground removal across various sky models and frequency-dependent systematics
T. Chen, M. Bianco, E. Tolley +3
Deep learning (DL) has recently been proposed as a novel approach for 21cm foreground removal. Before applying DL to real observations, it is essential to assess its consistency wi…
astro-ph.CO2023★ 34 cited
The foreground transfer function for HI intensity mapping signal reconstruction: MeerKLASS and precision cosmology applications
Steven Cunnington, Laura Wolz, Philip Bull +8
Blind cleaning methods are currently the preferred strategy for handling foreground contamination in single-dish HI intensity mapping surveys. Despite the increasing sophistication…