The cecilia machine learning pipeline recovers abundances for five polluted helium-atmosphere white dwarfs and finds CI-chondrite-like pollutant compositions, including oxygen excesses in two systems.
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A Machine-Learning Compositional Study of Exoplanetary Material Accreted Onto Five Helium-Atmosphere White Dwarfs with $\texttt{cecilia}$
The cecilia machine learning pipeline recovers abundances for five polluted helium-atmosphere white dwarfs and finds CI-chondrite-like pollutant compositions, including oxygen excesses in two systems.