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The James Webb Space Telescope (JWST) will devote significant observing timeto the study of exoplanets. It will not be serviceable as was the Hubble SpaceTelescope, and therefore the spacecraft/instruments will have a relativelylimited life. It is important to get as much science as possible out of thislimited observing time. We provide an analysis framework (including publiclyreleased computational tools) that can be used to optimize lists of exoplanettargets for atmospheric characterization. Our tools take catalogs of planetdetections, either simulated, or actual; categorize the targets by planetradius and equilibrium temperature; estimate planet masses; generate modelspectra and simulated instrument spectra; perform a statistical analysis todetermine if the instrument spectra can confirm an atmospheric detection; andfinally, rank the targets within each category by observation time required.For a catalog of simulated Transiting Exoplanet Survey Satellite planetdetections, we determine an optimal target ranking for the observing timeavailable. Our results are generally consistent with other recent studies ofJWST exoplanet target optimization. We show that assumptions about targetplanet atmospheric metallicity, instrument performance (especially the noisefloor), and statistical detection threshold, can have a significant effect ontarget ranking. Over its full 10-year (fuel-limited) mission, JWST has thepotential to increase the number of atmospheres characterized by transmissionspectroscopy by an order of magnitude (from about 50 currently to between 400and 500).

A Framework for Optimizing Exoplanet Target Selection for the James Webb Space Telescope