Locating Hidden Exoplanets Using Machine Learning

Exoplanets in protoplanetary disks cause localized deviations from Keplerian velocity in molecular line emission. Current methods of characterizing these deviations are slow and prone to false negatives. We demonstrate that machine learning can quickly and accurately detect planets. We train computer vision models on synthetic images of protoplanetary disks generated from simulations and apply these models to real observations. The models recreate previous discoveries, accurately locating known planets. A new exoplanet in the disk HD 142666 is identified.