Foreground Modelling using Bayesian Techniques for 21cm Cosmology
Lead Research Organisation:
University of Cambridge
Department Name: Physics
Abstract
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.
Organisations
People |
ORCID iD |
| Eloy De Lera Acedo (Primary Supervisor) | |
| Christian Kirkham (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| ST/V506606/1 | 01/10/2020 | 30/09/2024 | |||
| 2742720 | Studentship | ST/V506606/1 | 01/10/2022 | 31/03/2026 | Christian Kirkham |
| ST/W507349/1 | 01/10/2021 | 30/09/2025 | |||
| 2742720 | Studentship | ST/W507349/1 | 01/10/2022 | 31/03/2026 | Christian Kirkham |
| ST/X508305/1 | 01/10/2022 | 30/09/2026 | |||
| 2742720 | Studentship | ST/X508305/1 | 01/10/2022 | 31/03/2026 | Christian Kirkham |