Shape Characterization and Temporal Analysis of Exoplanet Transits with Deep Learning
Abstract
We apply Deep Learning methods to TESS light curve data to analyze the shape of exoplanet transits. This can be used to classify different exoplanet types or to discover new phenomena. We plan to also track variations in the transit shape over time.
- Publication:
-
52nd Lunar and Planetary Science Conference
- Pub Date:
- March 2021
- Bibcode:
- 2021LPI....52.2071H