On the Information Content of Ariel Transmission Spectra: Reassessing the Tier System
Michael Radica, Nicolas B. Cowan, Ryan Cloutier, Leo Yang Wang

TL;DR
This study evaluates the information content of Ariel transmission spectra across different Tiers, showing Tier 1 can provide significant chemical insights for certain exoplanets, with higher Tiers offering incremental benefits.
Contribution
It reassesses the value of each Ariel Tier for exoplanet atmospheric characterization using simulated spectra and retrieval analysis.
Findings
Tier 1 spectra suffice for <1.5dex H2O and CO2 constraints in giant planets.
Higher Tiers improve detection of molecules like H2S and CO.
Cloud presence affects the minimum Tier needed for certain atmospheric constraints.
Abstract
The European Space Agency's Ariel mission will conduct a survey of the atmospheric properties of exoplanets around bright stars. The mission is nominally divided into three Tiers. The Tier 1 survey will consist of low-precision observations of ~1000 planets, with a subset of these included in the higher-precision Tier 2 survey expected to be necessary for atmospheric characterization. Tier 3 will be repeated observations of a small number of benchmark planets. Though previous studies have assessed the ability of Ariel to uncover population-level trends, they have generally presupposed a given Tier. Here we interrogate this assumption and assess the information content of Ariel transmission spectra as a function of Tier for three benchmark planets: a hot-Saturn, warm-Neptune, and temperate sub-Neptune. We simulate a grid of Ariel transit spectra at different Tiers for each target and use…
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