Studying the orbits and interactions of satellites in the next generation of simulations

Rhys Jordan James Poulton

doi:10.26182/wa8m-d686

Studying the orbits and interactions of satellites in the next generation of simulations

Rhys Jordan James Poulton

School of Physics, Mathematics and Computing

Research output: Thesis › Doctoral Thesis

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Abstract

The goal of my thesis is to model the merging timescale of galaxies in N-body simulations and provide an analytical formula that can be applied in galaxy formation models. I assessed the algorithms used to identify and track simulated mergers using a new visualisation tool, the dendogram. I then quantified how merger timescales depend on galaxy orbits and compared to predictions from prescriptions in the literature. Finally, I used these insights to develop a new model for the merger timescale, showing how it improves on existing prescriptions, and explored its implications for predictions in the semi-analytical galaxy formation model, Shark.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Robotham, Aaron, Supervisor Power, Chris, Supervisor Elahi, Pascal, Supervisor
Thesis sponsors	Australian Government Research Training Program
Award date	2 Aug 2020
DOIs	https://doi.org/10.26182/wa8m-d686
Publication status	Unpublished - 2020

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THESIS - DOCTOR OF PHILOSOPHY - POULTON, Rhys Jordan James - 2020
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Cite this

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abstract = "The goal of my thesis is to model the merging timescale of galaxies in N-body simulations and provide an analytical formula that can be applied in galaxy formation models. I assessed the algorithms used to identify and track simulated mergers using a new visualisation tool, the dendogram. I then quantified how merger timescales depend on galaxy orbits and compared to predictions from prescriptions in the literature. Finally, I used these insights to develop a new model for the merger timescale, showing how it improves on existing prescriptions, and explored its implications for predictions in the semi-analytical galaxy formation model, Shark.",

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AB - The goal of my thesis is to model the merging timescale of galaxies in N-body simulations and provide an analytical formula that can be applied in galaxy formation models. I assessed the algorithms used to identify and track simulated mergers using a new visualisation tool, the dendogram. I then quantified how merger timescales depend on galaxy orbits and compared to predictions from prescriptions in the literature. Finally, I used these insights to develop a new model for the merger timescale, showing how it improves on existing prescriptions, and explored its implications for predictions in the semi-analytical galaxy formation model, Shark.

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Studying the orbits and interactions of satellites in the next generation of simulations

Abstract

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