Machine Learning for Small Bodies in the Solar System

Prof. Valerio Carruba is currently an Associate Professor at the São Paulo State University (UNESP) in Brazil. He is one of the founders of the Machine Learning applied to Small Bodies (MASB) research group. He has published more than 70 papers, 12 of which are on applications of machine learning to dynamics of small bodies. His recent interests involve the use of deep learning for the identification of asteroids in secular resonant configurations and machine learning applied for asteroid families identification. Asteroid 10741 has been named Valeriocarruba by the International Astronomical Union. His recent paper Optimization of artificial neural networks models applied to the identification of images of asteroids’ resonant arguments recently won the CELMEC prize for "Innovative computational methods in Dynamical Astronomy". Dr. Evgeny Smirnov works in the field of the dynamics of asteroids. In 2017, he introduced a machine-learning approach based on the supervised learning to the identification procedure that decreases the computational time from weeks to seconds. The same year, he proposed a similar approach for asteroid families instead of the classical HCM method. Having a strong background in science and software development, Evgeny connects these areas and brings modern software development patterns and techniques in the field of astronomy. Prof. Rita de Cássia Domingos is currently a Doctor Assistant Professor at the São Paulo State University (UNESP) in Brazil. She is one of the founders of the Machine Learning Applied to Small Bodies (MASB) research group. She has published about 36 papers, 8 of which are on applications of machine learning to the dynamics of small bodies. Her recent interests involve the application of machine learning techniques to astrodynamical problems.

1. Machine Learning and Artificial Intelligence, an Overview
2. Identification of Asteroid Families’ Members
3. Asteroids in Mean-Motion Resonances
4. Asteroid Families Interacting with Secular Resonances
5. Orbital Dynamics Around Asteroids
6. Asteroid Spectro-Photometric Classification
7. Kuiper Belt Objects
8. Identification and Localization of cometary activity in Solar System Objects with Machine Learning
9. Machine Learning for Classifying Meteorites
10. Detection and Characterization of Moving Objects with Machine Learning
11. Chaotic dynamics
12. Conclusions and Future Developments