Constraining the Complex Relationship Between Galaxies and their Dark Matter Haloes with Machine Learning
Description preview
The project will utilize a class of machine learning algorithm known as sparse regression methods (SRM) to extract robust relationships between the diverse properties of galaxies, their gaseous environments and their host dark matter haloes, formed in cosmological hydrodynamical simulations of the galaxy population. A vast quantity of galaxy…
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