Optimal Feature Engineering for Exoplanet Parameter Retrievals

We use a blend of machine learning and theoretical methods for optimal minimum-loss compression of the input spectral data in retrieval algorithms of exoplanet parameters. The method is illustrated with retrievals from a synthetic database of 100,000 spectra of hot Jupiters representative of the expected Ariel target sensitivity.