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Astrophysics Luncheon Seminar

Capturing Footage of Young Jovian Worlds
Presented by Jason Wang
California Institute of Technology

Monday, January 28, 2019
12:00 noon in 169-336

Abstract
The Gemini Planet Imager Exoplanet Survey 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 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 in 2017. We also have been able to include dynamical stability priors directly in our orbit fitting methods to place constraints on the orbits, masses, and dynamical interactions of the four planets around HR 8799.

JPL Contact: Vanessa Bailey (4-2034)

About the Speaker
Jason Wang is a 51 Pegasi b postdoctoral scholar at Caltech. He received his PhD in 2018 from U.C. Berkeley where he was advised by James Graham and Paul Kalas. He works on direct imaging of exoplanets, with interests in data processing, precise astrometry, orbital dynamics, and atmospheric characterization. He is currently working with Dimitri Mawet on characterizing exoplanets at high spectral resolution.


SVCP Astrophysics


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