Browsing Masters Theses by Author "Thacker, Robert John, 1970-"

Now showing items 1-6 of 6

Analysing and predicting chaos from shocks and radiative cooling in simulations of cosmic structure formation

Mungara, Paresh (Halifax, N.S. : Saint Mary's University, 2020)

It has long been appreciated that galaxy formation involves physics that can be subject to chaos. Numerical simulations introduce an additional source of noise in the form of approximations and floating point arithmetic ...
Contour advection tracer method in smoothed particle hydrodynamics

Fields, Tiffany M. (Halifax, N.S. : Saint Mary's University, 2019)

Studying the evolution of galaxies is important in understanding many other astrophysical phenomenon. However, this process required numerical work due to long timescales over which evolution occurs. To study the effects ...
Investigating the impact of stellar feedback algorithms on galactic evolution

Pillsworth, Samantha R. (Halifax, N.S. : Saint Mary's University, 2016)

The numerical algorithm used to implement stellar feedback in a galactic simulation will strongly influence the resulting disk. Using two disks from the MUGS2 simulation suite (Keller et al., 2015), we study the morphologies ...
Probing the interstellar medium of high-redshift sub-millimetre and emission line galaxies

Cunningham, Daniel J. M. (Halifax, N.S. : Saint Mary's University, 2018)

Utilizing new ALMA-ACA observations of the [N II] 205 µm line in combination with existing [C II] 158 µm observations, we characterize the L_{[C II]}/L_{[N II]} distribution in highredshift ...
Properties of the simulated agn activity function in isolated galaxy mergers

Hani, Maan H. (Halifax, N.S. : Saint Mary's University, 2015)

Numerical modeling of active galactic nuclei (AGN) poses many challenges, from uncertainties about the underlying physics to dynamic range issues. We present a study of simulated activity functions (AF; the differential ...
Testing the ergodicity of star formation within galaxies

Smith, Fraser M. (Halifax, N.S. : Saint Mary's University, 2023-08-11)

Part of our understanding of how galaxies evolve is based on individual evolutions inferred from population trends. In its strictest form, this approach implicitly assumes that the star formation properties of galaxies ...