2014
DOI: 10.1088/0004-637x/795/2/122
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MAXIMIZING THE ExoEarth CANDIDATE YIELD FROM A FUTURE DIRECT IMAGING MISSION

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 tim… Show more

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Cited by 166 publications
(218 citation statements)
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“…10 Two other studies looked at DRMs based on telescopes larger than WFIRST, in anticipation of an even more capable generation of exoplanet-finding telescopes, which could follow WFIRST, and these are of interest for context. The first of these is a paper by Stark et al, 11 and the second is a paper by Brown. 12 Both papers provide DRM studies of parameterized telescopes, with diameters in the 8-to 16-m class, with idealized coronagraphs and exoplanet populations, but applied to real stars, using observing scenarios optimized to maximize the yield of planet detections.…”
Section: Comparison To Other Studiesmentioning
confidence: 99%
“…10 Two other studies looked at DRMs based on telescopes larger than WFIRST, in anticipation of an even more capable generation of exoplanet-finding telescopes, which could follow WFIRST, and these are of interest for context. The first of these is a paper by Stark et al, 11 and the second is a paper by Brown. 12 Both papers provide DRM studies of parameterized telescopes, with diameters in the 8-to 16-m class, with idealized coronagraphs and exoplanet populations, but applied to real stars, using observing scenarios optimized to maximize the yield of planet detections.…”
Section: Comparison To Other Studiesmentioning
confidence: 99%
“…As mentioned in Section A.2, we use a surface brightness of M z,V = 23 mag arcsec −2 for Solar System zodiacal light. For exozodiacal light, we assume one zodi (i.e., N ez = 1) with a surface brightness of M ez,V = 22 mag arcsec −2 , which is a factor of ∼2 larger than Solar System zodiacal surface brightness, as exozodiacal dust both above and below the midplane contribute (Stark et al 2014). …”
Section: Baseline Parameters and Input Datamentioning
confidence: 99%
“…Given an mission lifetime and a survey strategy (which include a fraction of the time for follow up observations), the former can be quantified using the methods described in the literature. 6,43,44 Note that the latter is somewhat more qualitative since it depends on how much of the followup/characterization time is dedicated to a given system. Because detection will be carried out in the Optical channel, nearby stars will be observed using the APLC since these sources will not suffer from the relatively large IW A DH and benefit from the robustness to stellar angular size.…”
Section: Impact On Performancementioning
confidence: 99%