Exoplanet Search and Population Inferences with Data-driven Models
Presented by David Hogg
New York University
Monday, May 4, 2015
12:00 noon in 169-336
The most sensitive searches for exoplanets require very good models for stellar variability and spacecraft or telescope-induced systematics. Since (for, e.g., Kepler) we don't have good a priori models for either but enormous numbers of high-quality stellar light-curves, we use models derived from the data themselves. The most conservative exoplanet population inferences let the data speak for themselves; again this requires the use of models derived from the data rather than some more rigid a priori expectations. I illustrate these ideas with real exoplanet detections in Kepler / K2 data and a population inference from Kepler main-mission data.
JPL Contact: Leonidas Moustakas (3-5095)