AI Methods for Exoplanet Research
Delve into the world of AI methods used by ai4exoplanets to unravel the mysteries of planetary systems formation and the search for Earth twins. Discover the innovative techniques we employ to push the boundaries of scientific exploration and understanding.
Generative models
We use a variety of models to generate synthetic planetary systems. Our models are trained on state-of-the-art physical numerical simulations of planetary system formation and evolution.
Deep Learning Models
Deep Learning algorithms are used to analyse space-born and ground-based observational data, and accelerate numerical simulations of planetary system formation.
Statistical Machine Learning Models
We use statistical machine learning models (Random Forest, clustering) to analyse results of numerical simulations, and explore the potential to determine which exoplanetary systems are likely to harbour an Earth Twin.