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Maria Letizia Pumo

Deep Learning;Hands;Astrophysics;Computational Modeling;Neural Networks;Stars;Predictive Models;Explosions;Nickel;Computational Efficiency;supernovae;astrophysics;astronomy;machine Learning;deep Learning;neural Networks;time-Series

Machine Learning Supernovae’s Progenitor Characterization

In this work, we present a Deep Learning framework to predict the progenitor star’s characteristics of Supernovae (SNe) from their observed light curves. This task is crucial for …

Conference
Marco Grassia, Stefano Pio Cosentino, Maria Letizia Pumo, Giuseppe Mangioni
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