Kavli Affiliate: Roberto Maiolino | First 5 Authors: Mirko Curti, Connor Hayden-Pawson, Roberto Maiolino, Francesco Belfiore, Filippo Mannucci | Summary: We investigate which physical properties are most predictive of the position of local star forming galaxies on the BPT diagrams, by means of different Machine Learning (ML) algorithms. Exploiting the large statistics from the Sloan […]
Continue.. What drives the scatter of local star-forming galaxies in the BPT diagrams? A Machine Learning based analysis