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Simulating Exoplanet Orbits for WFIRST CGI Imaging

This study explores simulating known exoplanet orbits for WFIRST CGI imaging, focusing on radii, cloud effects, and RV planet inclinations. The code and data used are available for public use.

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Simulating Exoplanet Orbits for WFIRST CGI Imaging

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  1. Simulating Known Exoplanet Orbits for WFIRST CGI Imaging Dmitry Savransky, Daniel Garrett, Nathaniel Kinzly Dean Keithly, Vanessa Bailey, Natasha Batalha, Nikole Lewis, Mark Marley, Bruce Macintosh

  2. WFIRST CGI Needs Targets! Fortunately, we know of a lot! 3,869 confirmed exoplanets!

  3. WFIRST CGI Needs Targets! Well, maybe a few… 56 currently known exoplanets that are potentially visible to WFIRST CGI

  4. And, it’s reflected light So we really care more about radii than masses, but these are all RV & Imaging detections

  5. Just Because You Know Something is There… Doesn’t mean you’ll see it

  6. Clouds Make Huge Differences See: Batalha et al. (2018) "Color Classification of Extrasolar Giant Planets: Prospects and Cautions."

  7. And RV Planets Have Unknown Inclinations

  8. Putting it All Together

  9. GJ 849 b on JD 2461585.66

  10. How It’s Done Batalha et al. (2018) + Pick best orbital fits Calculate Additional Properties = +

  11. 100% of the Code and Data I’ve shown here is available for public use • https://plandb.sioslab.com • https://github.com/dsavransky/plandb.sioslab.com

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