Optimal Architectures and Survey Designs for Maximizing the Yields of Direct-Imaging Exoplanet Missions
by Christopher Stark, Giada N. Arney, Ruslan Belikov, Matthew R. Bolcar, Eric Cady, Brendan P. Crill, Shawn D. Domagal-Goldman, Shannon D. Dulz, B. Scott Gaudi, Tyler D. Groff, Brian A. Hicks, Ravi K. Kopparapu, John E. Krist, P. Douglas Lisman, Eric E. Mamajek, Avi M. Mandell, Dimitri Mawet, Johan Mazoyer, Michael W. McElwain, Bertrand Mennesson, Rhonda Morgan, Mamadou N'Diaye, Peter Plavchan, Laurent Pueyo, Bernard J. Rauscher, A.J. Eldorado Riggs, Aki Roberge, Tyler D. Robinson, Garreth Ruane, Kathryn St. Laurent, Dan Sirbu, Remi Soummer, Dmitry Savransky, Stuart B. Shaklan, Karl R. Stapelfeldt, and Neil T. Zimmerman
Published onMay 31, 2019
Optimal Architectures and Survey Designs for Maximizing the Yields of Direct-Imaging Exoplanet Missions
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Abstract
Our ability to answer scientific questions about exoplanets hinges on satisfying an age-old astronomical requirement: a sufficient sample size. Thus, the yield of exoplanets is critical to understanding the scientific impact of future missions. We discuss how the yield of directly-imaged exoplanets depends on mission scale and survey design.
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