IR STIG Seminar
Infrared Science and Technology Integration Group
DATE
Dec 07, 2021
TIME
1:00 pm EST
COMMUNITY
IR STIG
TYPE
Seminar
Spitzer's Exoplanet Legacy: Population Trends from Phase Curve Observations
Erin May (JHU APL)
During the warm mission, Spitzer observed phase curves of over 30 exoplanets, totaling over 5 dozen data sets between the 3.6 and 4.5 micron channels. Individually, each phase curve tells us about the atmosphere of a single planet: what the day and night side temperatures are, how heat is transported from the day to the night side, the necessity of winds to blow the hot spot away from the substellar point, if the planet is likely to have a cloudy night side, etc. While these single planet studies are useful and informative, the real exoplanet legacy for Spitzer is the unprecedented population study that can be done. Due to Spitzer's strong intrapixel systematics and differing data analysis methods between teams and planets, these population studies have, to date, been difficult. To truly study the population level trends explored with Spitzer we need a uniform data set, as well as advanced models to explain and predict trends. In this work, we present the analysis of 7 unpublished phase curves, a re-analysis of 1 additional phase curve, combined with our team's previous work on 2 additional planets. We explore trends in our newly analyzed data, and compare to previous literature values. This work is part of an ongoing effort to reanalyze all Spitzer phase curve data uniformly in order to unambiguously confirm predicted atmosphere trends in Hot Jupiters.
Short Bio: Erin May is a postdoctoral fellow at Johns Hopkins Applied Physics Laboratory (JHUAPL), prior to this she obtained her PhD from the University of Michigan in 2019. She is primarily interested in the observational characterization of exoplanets. Her work encompasses ground- and space-based observations as well as 3D modeling of exoplanetary atmospheres. Currently, her research is heavily focused on a uniform reanalysis of Spitzer phase curves to uncover underlying population level trends.
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