Our research group specializes in the Bayesian analysis of exoplanet populations. Recently, we’ve focused on using data from NASA’s Kepler mission and “SysSim” the Planetary Systems Simulator.
Recent Ph.D. student Danley Hsu led the effort characterizing the occurence rates of planets using heirarchical Bayesian modeling and Approximate Bayesian Computing.
Current Ph.D. student Matthias He has extended this work to characterize the intrinsic distribution of planetary system architectures.
The results are described in a series of papers.
You can hear about this work and how it fits in with other related research in a recent talk at the 2020 Exoplanets Demographics meeting:
Links to Code & Data:
- GitHub repo for papers on intrinsic distribution of planetary architectures
- GitHub repo for papers on occurence rates of planets
- GitHub repo for current version of core SysSim code
- GitHub repo with data files for SysSim
- Box folder with large data products assocaited with SysSim papers
