A Framework for Relative Biosignature Yields from Future Direct Imaging Missions
Noah W. Tuchow, Jason T. Wright

TL;DR
This paper develops a method to compare potential target stars for future exoplanet imaging missions based on their likelihood of yielding detectable biosignatures, considering stellar evolution and habitability models.
Contribution
It introduces a novel framework for calculating relative biosignature yields using stellar models and habitability histories, aiding target selection for missions like HabEx and LUVOIR.
Findings
Biosignature yield sensitivity varies with star type and model assumptions.
Young, luminous stars may be favored if using current habitable zones as proxies.
Target selection depends on biosignature genesis models and stellar property accuracy.
Abstract
Future exoplanet direct imaging missions, such as HabEx and LUVOIR, will select target stars to maximize the number of Earth-like exoplanets that can have their atmospheric compositions characterized. Because one of these missions' aims is to detect biosignatures, they should also consider the expected biosignature yield of planets around these stars. In this work, we develop a method of computing relative biosignature yields among potential target stars, given a model of habitability and biosignature genesis, and using a star's habitability history. As an illustration and first application of this method, we use MESA stellar models to calculate the time evolution of the habitable zone, and examine three simple models for biosignature genesis to calculate the relative biosignature yield for different stars. We find that the relative merits of K stars versus F stars depend…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Spacecraft Dynamics and Control · Astronomy and Astrophysical Research
