Connor Stone, PhD candidate, Astrophysics, supervised by Professor Stephane Courteau
Topic: The Galaxy Manifold: A statistical and systematic analysis of intrinsic galaxy properties. Overview: I am exploring a multi-dimensional approach to galaxy modeling. Most traditional analysis is performed on correlations of two parameters at a tim
Grad Chat - Queen's School of Graduate Studies and Postdoctoral Affairs
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Show Notes
Topic: The Galaxy Manifold: A statistical and systematic analysis of intrinsic galaxy properties.
Overview: I am exploring a multi-dimensional approach to galaxy modeling. Most traditional analysis is performed on correlations of two parameters at a time. I am developing a framework for examining trends in any number of parameters simultaneously. I use machine learning models and techniques to fully extract all available information. By determining which parameters are fundamentally linked to each other, I can connect models of galaxy formation to real observations and possibly learn about the nature of dark matter.
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