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arXiv 1601.03492astro-ph.EP

Quantifying and Predicting the Presence of Clouds in Exoplanet Atmospheres

Kevin B. Stevenson

英文摘要:

One of the most outstanding issues in exoplanet characterization is understanding the prevalence of obscuring clouds and hazes in their atmospheres. The ability to predict the presence of clouds/hazes a priori is an important goal when faced with limited telescope resources and advancements in atmospheric characterization that rely on the detection of spectroscopic features. As a means to identify favorable targets for future studies with HST and JWST, we use published HST/WFC3 transmission spectra to determine the strength of each planet's water feature, as defined by the H2O - J index. By expressing this parameter in units of atmospheric scale height, we provide a means to efficiently compare the size of spectral features over a physically diverse sample of exoplanets. We find the H2O - J index to be strongly correlated with planet temperature when $T_{eq} < 750^{+90}_{-60}$ K and weakly correlated with surface gravity for planets with $\log g < 3.2^{+0.3}_{-0.2}$ dex. Otherwise, the median value of the H2O - J index is $1.8{\pm}0.3$ H. Using these two physical parameters, we identify a division between "classes" of exoplanets, such that objects above $T_{eq} = 700$ K and $\log g = 2.8$ dex are more likely to have clearer atmospheres with stronger spectral features (H2O - J > 1) and those below at least one of these thresholds are increasingly likely to have predominantly cloudy atmospheres with muted spectral features (H2O - J < 1). Additional high-precision measurements are needed to corroborate the reported trends.

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