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Campaign Scheduling and Analysis for the Gemini Planet Imager

Published online by Cambridge University Press:  06 January 2014

Dmitry Savransky
Affiliation:
Lawrence Livermore National Lab, Livermore, CAUSA, email: savransky1@llnl.gov
Bruce A. Macintosh
Affiliation:
Lawrence Livermore National Lab, Livermore, CAUSA, email: savransky1@llnl.gov
James Graham
Affiliation:
University of California Berkeley, Berkeley, CAUSA
Quinn M. Konopacky
Affiliation:
Dunlap Institute, University of Toronto, Toronto, Canada
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Abstract

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The Gemini Planet Image (GPI) is a new, high-contrast, exoplanet-imaging, facility instrument for the Gemini South observatory, scheduled to begin science observations in 2014. The GPI Exoplanet Survey (GPIES) has been awarded 890 hours to image and spectrally and polarimetrically characterize young, giant planets within 100 parsecs of the solar system. In preparation for the survey, we have developed a framework for simulating GPI observations and generating end-to-end survey simulations. We present new extensions to this modeling effort and our latest results. We discuss systematic methods for scheduling the survey to ensure that the population of discovered planets is useful in constraining formation models and possibly distinguishing between gravitational collapse and core accretion as the primary formation mechanism.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2013 

References

Burrows, A., Sudarsky, D., & Lunine, J. I. 2003, ApJ, 596, 587CrossRefGoogle Scholar
Macintosh, B. A., et al. 2012, in: Proc. SPIE, Vol. 8446, 84461UGoogle Scholar
Marois, C., Macintosh, B., & Véran, J. P. 2010, in: Proc. SPIE, Vol. 7736, 77361JGoogle Scholar
McBride, J., Graham, J., Macintosh, B., Beckwith, S., Marois, C., Poyneer, L., & Wiktorowicz, S. 2011, PASP, 123, 692CrossRefGoogle Scholar
Savransky, D., Cady, E., & Kasdin, N. J. 2011, ApJ, 728, 66CrossRefGoogle Scholar
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