Quantification of abundance uncertainties in chemical models of exoplanet atmospheres
Marcelino Agundez

TL;DR
This study assesses the uncertainties in chemical composition predictions of exoplanet atmospheres, finding generally small uncertainties but highlighting key processes that need better constraints for improved model accuracy.
Contribution
It provides a sensitivity analysis quantifying abundance uncertainties in exoplanet atmospheric models and identifies critical reactions affecting model reliability.
Findings
Abundance uncertainties are mostly below a factor of two.
Planets near chemical equilibrium have smaller uncertainties.
Certain molecules like H2O and CO are more reliably predicted.
Abstract
Chemical models are routinely used to predict the atmospheric composition of exoplanets and compare it with the composition retrieved from observations, but little is known about the reliability of the calculated composition. We carried out a sensitivity analysis to quantify the uncertainties in the abundances calculated by a state-of-the-art chemical atmosphere model of the widely observed planets WASP-33b, HD209458b, HD189733b, WASP-39b, GJ436b, and GJ1214b. We found that the abundance uncertainties in the observable atmosphere are relatively small, below one order of magnitude and in many cases below a factor of two, where vertical mixing is a comparable or even larger source of uncertainty than (photo)chemical kinetics. In general, planets with a composition close to chemical equilibrium have smaller abundance uncertainties than planets whose composition is dominated by…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Astro and Planetary Science
