Identify and characterise the properties of galaxy clusters in large multi-wavelength data sets
Lead Research Organisation:
University of Bristol
Department Name: Physics
Abstract
Identification and characterisation of galaxy clusters from large multi-wavelength data sets using AI and machine learning techniques in order to determine whether reliable samples of distant clusters can be extracted from wavelength-incomplete data sets. For example, can we work out which of the optical/near-IR selected distant cluster candidates have high virialised masses without access to X-ray or SZ data sets? This latter question is particularly apposite given that the optical & near-IR datasets will soon be more extensive than those from sufficiently sensitive X-ray and SZ experiments.
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
ST/P006779/1 | 01/10/2017 | 30/09/2024 | |||
2191416 | Studentship | ST/P006779/1 | 01/10/2018 | 30/09/2022 | Jake Baguley |