Seventeenth Marcel Grossmann Meeting

Convolutional Neural Network and Soprano: computing numerically expensive models in the blink of an eye

12 Jul 2024, 17:20

20m

M4 (Palazzo Micara of the ‘Gabriele d’Annunzio’ University)

Talk in a parallel session Machine learning in astronomy: AGN, transient events, cosmology and others Machine learning in astronomy: AGN, transient events, cosmology and others

Speaker

Damien Begue (Bar Ilan University)

Description

I will discuss the use of machine learning and more specifically of convolutional neural network (CNN) to enable fitting of blazar (or other objects) SEDs with numerically costly models. In particular, I will describe the necessary ingredients, the numerical approach and tools, the setup of the neural network and the training steps. Finally, I will discuss future plans and improvements.