2016
DOI: 10.1093/mnras/stw133
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Optical phase curves as diagnostics for aerosol composition in exoplanetary atmospheres

Abstract: At optical wavelengths, Titan's brightness for large Sun-Titan-observer phase angles significantly exceeds its dayside brightness. The brightening that occurs near back-illumination is due to moderately large haze particles in the moon's extended atmosphere that forward-scatter the incident sunlight. Motivated by this phenomenon, here we investigate the forward scattering from currently known exoplanets, its diagnostics possibilities, the observational requirements to resolve it, and potential implications. An… Show more

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Cited by 77 publications
(64 citation statements)
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References 50 publications
(109 reference statements)
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“…One example of this is supersolar metallicities, which have been shown to increase the day-night temperature difference in GCMs (e.g., Showman et al 2009;Kataria et al 2015;Wong et al 2016). Another possibility is highaltitude clouds, which are expected to form largely on the nightside and western limb (Lee et al 2016;Oreshenko et al 2016;Parmentier et al 2016), where it is coldest. As a result, clouds could increase the amplitude of the phase curve and thereby raise our theoretical predictions for A closer to observed values.…”
mentioning
confidence: 99%
“…One example of this is supersolar metallicities, which have been shown to increase the day-night temperature difference in GCMs (e.g., Showman et al 2009;Kataria et al 2015;Wong et al 2016). Another possibility is highaltitude clouds, which are expected to form largely on the nightside and western limb (Lee et al 2016;Oreshenko et al 2016;Parmentier et al 2016), where it is coldest. As a result, clouds could increase the amplitude of the phase curve and thereby raise our theoretical predictions for A closer to observed values.…”
mentioning
confidence: 99%
“…Kepler-43b was removed from the analysis as it is doubtful whether the signal is of planetary origin or due to stellar activity (Esteves et al 2015). specific to each cloud species to calculate the phase curves andcompare our models to all known shifted Kepler light curves, whereas these authors focused on Kepler-7b. As a result, we are able to draw conclusions that Oreshenko et al (2016) could not, within their study.…”
Section: Introductionmentioning
confidence: 74%
“…Unlike previous work Hu et al 2015;Munoz & Isaak 2015;Shporer & Hu 2015;Webber et al 2015) that aimed to fit ad hoc cloud models to the Kepler light curves by treating the condensation curve of the cloud, the thermal structure of the planet, or the optical properties of the clouds as free parameters, we calculate a priori the 3D thermal structure and use the condensation temperature and cloud optical properties from known potential condensates to constrain the cloud physical properties and composition. Our work is also different from Oreshenko et al (2016), who also compared the temperature map from a global circulation model to the condensation curve of different cloud species. We aimfor a more detailed calculation of observable signaturesand a much wider comparison to observations.…”
Section: Introductionmentioning
confidence: 90%
“…Specifically, the phase offset between secondary eclipse and when the peak planet flux is observed oscillates between times before and after secondary eclipse. This has been interpreted as reflected light variations due to time-variable cloud coverage on the dayside (Oreshenko et al 2016;Parmentier et al 2016a;Helling & Rimmer 2019). However, our Figure 21 shows that the dayside opacity is overwhelmed by gas-phase contributions and that high-temperature cloud species formed on the dayside are likely not responsible for the phase curve observations.…”
Section: Preeminent Opacity Sources: P Gas (τ(λ) = 1)mentioning
confidence: 99%