|Finding and Characterizing Planets with the Gemini Planet Imager Exoplanet Survey
Jason Wang (UC Berkeley)
ABSTRACT: The Gemini Planet Imager Exoplanet Survey (GPIES) is looking around 600 young and nearby stars for Jupiter-like planets at Jupiter-like separations. For the survey, we have built an automated data processing framework, which we call the Data Cruncher, that is able to automatically process all integral field spectroscopy data as well as remove the glare of the star using multiple algorithms, including the open source pyKLIP code. This integrates into a larger automated data infrastructure and creates many benefits such as optimizing observing strategy and maintaining data uniformity. Scientifically, I will focus on the orbital characterization of the planets and brown dwarf companions imaged in the survey. We have obtained one milliarcsecond astrometry on Beta Pictoris b, firmly excluding a potential planetary transit, but placing precise timings on a Hill sphere transit. I will describe the current monitoring efforts to search for circumplanetary material around Beta Pictoris b. GPIES is also characterizing the orbital dynamics of other systems, including stellar binaries, and I will highlight a few notable systems.
|Date||January 16, 2018|
|Start/End Time||12:00 PM - 01:00 PM|
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