Searching for Novel Chemistry in Exoplanetary Atmospheres Using Machine Learning for Anomaly Detection
Roy T. Forestano,
Konstantin T. Matchev,
Katia Matcheva
et al.
Abstract:The next generation of telescopes will yield a substantial increase in the availability of high-quality spectroscopic data for thousands of exoplanets. The sheer volume of data and number of planets to be analyzed greatly motivate the development of new, fast, and efficient methods for flagging interesting planets for reobservation and detailed analysis. We advocate the application of machine learning (ML) techniques for anomaly (novelty) detection to exoplanet transit spectra, with the goal of identifying pla… Show more
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