Machine-learning analysis of TNG100 galaxies finds global properties (black-hole mass, halo mass) control quenching while local stellar density controls ongoing star formation.
A machine learning approach for identifying causality in astronomical data
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Understanding the regulation of star formation within TNG100 galaxies on kpc-scales using machine learning I: Global versus local
Machine-learning analysis of TNG100 galaxies finds global properties (black-hole mass, halo mass) control quenching while local stellar density controls ongoing star formation.