Abstract
Abstract We analyze the environmental features and growth history of high-redshift halos from cosmological simulation data to determine the conditions that lead to Population III star formation. We use support-vector classification (SVC) to determine the separation in feature-space between Population III halos and halos that form no stars. We perform hyperparameter tuning but are unable to produce an SVC model that reliably classifies Population III halos. We perform feature selection and determine that among our included features, Lyman–Werner radiation and halo mass have the most significant impact on an SVC model's effectiveness.
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