Maximizing the ExoEarth candidate yield from a future direct imaging mission

Christopher C. Stark, Aki Roberge, Avi Mandell, Tyler D. Robinson

Research output: Contribution to journalArticlepeer-review

97 Scopus citations

Abstract

ExoEarth yield is a critical science metric for future exoplanet imaging missions. Here we estimate exoEarth candidate yield using single visit completeness for a variety of mission design and astrophysical parameters. We review the methods used in previous yield calculations and show that the method choice can significantly impact yield estimates as well as how the yield responds to mission parameters. We introduce a method, called Altruistic Yield Optimization, that optimizes the target list and exposure times to maximize mission yield, adapts maximally to changes in mission parameters, and increases exoEarth candidate yield by up to 100% compared to previous methods. We use Altruistic Yield Optimization to estimate exoEarth candidate yield for a large suite of mission and astrophysical parameters using single visit completeness. We find that exoEarth candidate yield is most sensitive to telescope diameter, followed by coronagraph inner working angle, followed by coronagraph contrast, and finally coronagraph contrast noise floor. We find a surprisingly weak dependence of exoEarth candidate yield on exozodi level. Additionally, we provide a quantitative approach to defining a yield goal for future exoEarth-imaging missions.

Original languageEnglish (US)
Article number122
JournalAstrophysical Journal
Volume795
Issue number2
DOIs
StatePublished - Nov 10 2014
Externally publishedYes

Keywords

  • methods: numerical
  • planetary systems
  • telescopes

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

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