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Andrew Hannington

Mr Andrew Hannington

Research student

Email
HanningtonAT@cardiff.ac.uk

Overview

I am a PhD candidate here at Cardiff University working on cosmological, magneto-hydrodynamical simulations to study galaxy evolution, the circumgalactic medium, and intergalactic medium.

My research currently focuses on the circumgalactic medium of star-forming galaxies, which is the envelope of (primarily) gas surrounding a galaxy. It can be thought of as the middle-ground interface between the central galaxy and the wider Cosmic Web. II I am utilising the Auriga Project Simulation Suite to investigate several problems.

In particular, I am interested in the complex structures within the circumgalactic medium composed of gas of a large range of temperatures and densities - the so-called "multi-phase" circumgalactic medium. In future work I hope to look at the impacts of newly implemented feedback effects on the results of our simulations, and ways in which to improve upon the current numerical methods. I am also interested in Data Science, Machine Learning, and Big Data techniques and how these can be applied to the data produced by these large scale simulations.

I am funded from an STFC studentship via the Data-Intensive Centre for Doctoral Training (DI-CDT).

Research

My research currently focuses on the circumgalactic medium of star-forming galaxies, which is the envelope of (primarily) gas surrounding a galaxy. It can be thought of as the middle-ground interface between the central galaxy and the wider Cosmic Web. I am utilising the Auriga Project Simulation Suite to investigate several research questions.

In particular, I am interested in the complex structures within the circumgalactic medium composed of gas of a large range of temperatures and densities - the so-called "multi-phase" circumgalactic medium. We are in the process of summarising these results in my first research paper.

I am also exploring:

  1. the impacts of newly implemented feedback models on the results of our simulations, in particular the impact of Cosmic Ray feedback on the CGM of milky-way mass galaxies as implemented by our collaborators* ,
  2. ways in which to improve upon the current resolution methods the Auriga simulations utilise.

I am also interested in Data Science, Machine Learning, and Big Data techniques and how these can be applied to the data produced by these large scale simulations.

*(see Buck et al. 2020)

Supervisors

Freeke Van De Voort

Dr Freeke Van De Voort

Royal Society University Research Fellow & Lecturer
Cardiff Hub for Astrophysics Research and Technology

External profiles