Retrieval of Exoplanet Emission Spectra with HyDRA
Siddharth Gandhi, Nikku Madhusudhan

TL;DR
HyDRA is a new retrieval framework that analyzes exoplanet emission spectra to detect disequilibrium chemistry and temperature deviations, enhancing understanding of atmospheric processes beyond equilibrium assumptions.
Contribution
HyDRA introduces a disequilibrium retrieval method combining Bayesian inference with self-consistent atmospheric modeling for exoplanet spectra.
Findings
Detected H2O and CO/CO2 at 8-sigma significance
Found P-T profiles consistent with radiative-convective equilibrium
Retrieved compositions align with thermochemical equilibrium
Abstract
Thermal emission spectra of exoplanets provide constraints on the chemical compositions, pressure-temperature (P-T) profiles, and energy transport in exoplanetary atmospheres. Accurate inferences of these properties rely on the robustness of the atmospheric retrieval methods employed. While extant retrieval codes have provided significant constraints on molecular abundances and temperature profiles in several exoplanetary atmospheres, the constraints on their deviations from thermal and chemical equilibria have yet to be fully explored. Our present work is a step in this direction. We report HyDRA, a disequilibrium retrieval framework for thermal emission spectra of exoplanetary atmospheres. The retrieval code uses the standard architecture of a parametric atmospheric model coupled with Bayesian statistical inference using the Nested Sampling algorithm. For a given dataset, the…
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