Foreground Modelling using Bayesian Techniques for 21cm Cosmology

Funder	Science and Technology Facilities Council
Recipient Organization	University of Cambridge
Country	United Kingdom
Start Date	Sep 30, 2022
End Date	Mar 30, 2026
Duration	1,277 days
Number of Grantees	2
Roles	Student; Supervisor
Data Source	UKRI Gateway to Research
Grant ID	`2742720`

Grant Description

This project using Bayesian inference techniques to model the foreground emissions detected by low-frequency radio telescopes such as REACH. This is an important step when trying to detect the global 21cm neutral hydrogen signal at high redshifts.