Planetary Systems

We are developing new modeling algorithms that use Markov-chain Monte Carlo (MCMC) methods, coupled to Bayesian statistics, with the goal of discovering new low-mass planets and better characterizing their host stars.  A key part of this work is the development of new and improved noise models that consider the effects of both instrumental and stellar …

The Development of Bayesian Statistical Models to Detect and Characterise Exoplanets Read More »

We use high precision radial-velocity instruments in Chile to confirm planet candidates identified by the Transiting Exoplanet Survey Satellite (TESS).  These planets will then be placed into our sample for atmospheric follow-up observations, with the overall goal to better characterize the population of rare low-mass worlds. Type of project: Research – actively recruiting new young …

The Search for New Benchmark Extreme Neptune-like Planets Read More »

We use both ground based high-resolution spectroscopy and space-based secondary eclipse measurements to study the chemical compositions, physical structures, and dynamical processes of the atmospheres of extreme Neptune-like exoplanets.  By identifying the metallic structure of clouds in the atmosphere of planets like LTT9779b for example, we can better understand the formation histories and evolutionary pathways …

Understanding the Role of Clouds in the Metal-rich Atmospheres of Hot Neptunes Read More »