Deep Learning on Type Ia Supernovae

The thesis presents the design of an Artificial Intelligence Assisted Inversion (AIAI) method to estimate type Ia supernova (SN Ia) ejecta structure based on the observed optical spectral time sequence. The research applied neural networks to 126 SNe Ia and found a correlation between the 3700 A spectral feature and the 56Ni elemental abundance. To further adapt the AIAI method to the SNe Ia 3D st...