Characterizing Giant Planets with the Gemini Planet Imager Exoplanet Survey

Monday 2 July, 16:40

The Gemini Planet Imager Exoplanet Survey (GPIES) has surveyed nearly 500 stars looking for young gas giant planets. I will present highlights of recent results from our survey. Uniquely for GPIES, we have developed a fully automated data infrastructure that processes, stores, and interfaces with all the data from our survey, including automated algorithms to find planets. From our uniform analysis, we are able to constrain giant planet frequency between 5-100 au and I will present our analysis of the first 300 stars in our survey. GPIES has also extensively characterized all the exoplanets we have imaged. We have compiled a library of near-infrared spectra for all of our substellar companions and obtained one milliarcsecond accuracy on measuring their orbits. I will highlight in particular the orbits of the four planets around HR 8799. By combining precise astrometry with Markov chain Monte Carlo orbit fits and N-body simulations, we can obtain the posterior distribution of dynamically stable orbits consistent with the data and place upper limits on the planet masses.

PDF icon Jason Wang - GPIES

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