Searching for Novel Chemistry in Exoplanetary Atmospheres Using Machine Learning for Anomaly Detection

Searching for Novel Chemistry in Exoplanetary Atmospheres Using Machine Learning for Anomaly Detection

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 inte...

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Bibliographic Details
Main Authors: Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal
Subjects:
Exoplanet atmospheres
Exoplanet atmospheric composition
Transmission spectroscopy
Clustering
Outlier detection
Support vector machine
Online Access:https://doi.org/10.3847/1538-4357/ad0047

Internet

https://doi.org/10.3847/1538-4357/ad0047

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