In simulations, foreground-cleaned 21 cm hydrogen–galaxy cross-power spectra recover the dynamical dark energy parameters (w0, wa) without bias when galaxy redshift bins are narrow.
Title resolution pending
3 Pith papers cite this work, alongside 1 external citations. Polarity classification is still indexing.
fields
astro-ph.CO 3years
2026 3representative citing papers
meer21cm is a publicly available Python toolkit for post-calibration analysis of single-dish HI intensity mapping surveys, achieving percent-level accuracy on simulated MeerKAT data in the k range 0.02-0.2 h/Mpc.
A review chapter summarizing advances in map-making and component-separation techniques for 21-cm intensity mapping to address systematics and foreground contamination in simulations for SKA-Mid.
citing papers explorer
-
Unveiling dark energy properties with high-sensitivity cross-correlations of neutral hydrogen intensity mapping and galaxy surveys
In simulations, foreground-cleaned 21 cm hydrogen–galaxy cross-power spectra recover the dynamical dark energy parameters (w0, wa) without bias when galaxy redshift bins are narrow.
-
meer21cm: an Analysis Pipeline and Comprehensive Toolkit for HI Intensity Mapping
meer21cm is a publicly available Python toolkit for post-calibration analysis of single-dish HI intensity mapping surveys, achieving percent-level accuracy on simulated MeerKAT data in the k range 0.02-0.2 h/Mpc.
-
Methodological Frontiers in 21-cm Intensity Mapping: the Treatment of Systematics and Foreground Contamination
A review chapter summarizing advances in map-making and component-separation techniques for 21-cm intensity mapping to address systematics and foreground contamination in simulations for SKA-Mid.