Orateur
Alessandra Celletti
Description
We present results on the computation of proper elements for space debris around the Earth; they are obtained through suitable computations of normal forms.
We show that perturbative methods can be integrated with Machine Learning techniques, specifically to investigate the dynamics of groups of objects for the classification and clustering of space debris generated by break-up events of artificial satellites.