The impact of non-standard dark matter on cosmology

Summary

This project will explore the impact of non-standard dark matter, that can evolve and decay, on the growth of structure in an expanding universe.

Supervisor(s)

Professor Geraint F. Lewis

Research Location

School of Physics

Program Type

PHD

Synopsis

This project will explore the theoretical models for interacting and decaying dark matter, incorporating this physics into numerical simulations of cosmological structure evolution. This will require running large-scale simulations in high-performance computing environments.

Additional Information

HDR Inherent Requirements

In addition to the academic requirements set out in the Science Postgraduate Handbook, you may be required to satisfy a number of inherent requirements to complete this degree. Example of inherent requirement may include:

- Confidential disclosure and registration of a disability that may hinder your performance in your degree;
- Confidential disclosure of a pre-existing or current medical condition that may hinder your performance in your degree (e.g. heart disease, pace-maker, significant immune suppression, diabetes, vertigo, etc.);
- Ability to perform independently and/or with minimal supervision;
- Ability to undertake certain physical tasks (e.g. heavy lifting);
- Ability to undertake observatory, sensory and communication tasks;
- Ability to spend time at remote sites (e.g. One Tree Island, Narrabri and Camden);
- Ability to work in confined spaces or at heights;
- Ability to operate heavy machinery (e.g. farming equipment);
- Hold or acquire an Australian driver’s licence;
- Hold a current scuba diving license;
- Hold a current Working with Children Check;
- Meet initial and ongoing immunisation requirements (e.g. Q-Fever, Vaccinia virus, Hepatitis, etc.)

You must consult with your nominated supervisor regarding any identified inherent requirements before completing your application.

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Keywords

dark matter, dark energy, cosmology, numerical astrophysics

Opportunity ID

The opportunity ID for this research opportunity is: 2829

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