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I run numerical simulations of two merging disc galaxies and their formation into a shell galaxy, using the RAMSES code (Teyssier, 2002). By conducting a parameter survey, I explore different sets of parameters to find an orbtial configuration favourable for shell formation. Based on that, I perform an idealised high-resolution merger simulation, and follow its formation into a shell galaxy. I then analyse how the merger-driven star formation activity evolves throughout time, within the system, what the physical conditions are for it, and how it relates to the formation of shells.

Supervisor: Florent Renaud
Thesis: LUP Student Papers
Publication: ArXiv, MNRAS

In Gaia Early Data Release 3, a break in the vertical angular momentum-velocity plane can be disguished (Gaia Collaboration et al., 2021), a break that is suspected to have a dynamical origin. As part of my summer project, I explore the possibility for a dynamical origin by conducting a series of N-body simulations of a Milky Way-like galaxy being perturb by a Sagittarius-like dwarf galaxy impact using the RAMSES code (Teyssier, 2002).

Supervisor: Paul McMillan
Publication: ArXiv, MNRAS

I estimate the capture rate of interstellar objects (ISOs) in the Solar system, using the N-body code MERCURY (Chambers, 1999). From this, I analyse the orbital properties of captured ISOs and how they get captured and/or ejected.

Supervisor: Daohai Li
Thesis: LUP Student Papers

Vatpy (Visualisation of Arepo in the Terminal using PYthon) is a light-weight, highly customisable, visualisation tool-kit for astrophysical simulations performed using the Arepo code (Springel 2010).

Many of its functionalities can be generally applied to simulations made by Arepo (as long as the output is in HDF5-format), however, more specific capabilities, such as creating visual maps of the gas chemistry, is at the moment only adapted to simulations run using the ArepoNoctua numerical framework (Petersson et al. 2025).

For more details, please visit the official Vatpy repository: https://github.com/vatpy-code/vatpy, and for more details on how you can use Vatpy in your own work, please visit the official documentation page: https://vatpy-code.github.io/vatpy.