Constraining the atmosphere of GJ 1214b using an optimal estimation technique
Joanna K. Barstow, Suzanne Aigrain, Patrick G. J. Irwin, Leigh N., Fletcher, Jae-Min Lee

TL;DR
This study uses an optimal estimation technique to analyze the atmosphere of GJ 1214b, revealing multiple possible atmospheric scenarios but highlighting the need for more precise data to distinguish between them.
Contribution
It demonstrates the effectiveness of optimal estimation retrieval in exploring degenerate atmospheric models for exoplanets like GJ 1214b.
Findings
Multiple solutions fit the data well.
Current data insufficient to constrain cloud and gas abundances.
Degeneracies limit definitive atmospheric characterization.
Abstract
We explore cloudy, extended H2-He atmosphere scenarios for the warm super-Earth GJ 1214b using an optimal estimation retrieval technique. This planet, orbiting an M4.5 star only 13 pc from the Earth, is of particular interest because it lies between the Earth and Neptune in size and may be a member of a new class of planet that is neither terrestrial nor gas giant. Its relatively flat transmission spectrum has so far made atmospheric characterisation difficult. The NEMESIS algorithm (Irwin et al. 2008) is used to explore the degenerate model parameter space for a cloudy, H2-He-dominated atmosphere scenario. Optimal estimation is a data-led approach that allows solutions beyond the range permitted by ab initio equilibrium model atmosphere calculations, and as such prevents restriction from prior expectations. We show that optimal estimation retrieval is a powerful tool for this kind of…
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