Kavli Affiliate: Andrew Vanderburg | First 5 Authors: Mariona Badenas-Agusti, Siyi Xu, Andrew Vanderburg, Kishalay De, Patrick Dufour | Summary: We present the first application of the Machine Learning (ML) pipeline $texttt{cecilia}$ to determine the physical parameters and photospheric composition of five metal-polluted He-atmosphere white dwarfs without well-characterised elemental abundances. To achieve this, we perform […]
Continue.. A Machine-Learning Compositional Study of Exoplanetary Material Accreted Onto Five Helium-Atmosphere White Dwarfs with $texttt{cecilia}$