Poster
2026 workshop program
Predicting exoplanet radius based on host star orbital parameters
The work
Abstract
Finding Exoplanets radius using hoststar parameters using ML.When combined with mass estimates, radius provides insight into planetary composition, atmospheric retention, and potential habitability. However, predicting planet size from stellar and orbital properties is difficult because these relationships are often nonlinear and complex. Machine learning can identify patterns in large exoplanet catalogs and test whether basic stellar and orbital parameters can predict planet radius.