Two-stage GMM clustering of close-in exoplanets in dynamical feature space mapped to pebble-accretion models identifies sub-populations with distinct formation histories including earlier epochs for very-massive gas giants.
Turkish Physical Society 33rd International Physics Congress (TPS33) , year = 2018, series =
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Machine-learning clustering of close-in exoplanet populations: links to pebble accretion
Two-stage GMM clustering of close-in exoplanets in dynamical feature space mapped to pebble-accretion models identifies sub-populations with distinct formation histories including earlier epochs for very-massive gas giants.