Alfnoor: assessing the information content of Ariel's low resolution spectra with planetary population studies

Abstract

The ARIEL Space Telescope will provide a large and diverse sample of exoplanet spectra, performing spectroscopic observations of about 1000 exoplanets in the wavelength range $0.5\to 7.8\mu m$. In this paper, we investigate the information content of ARIEL's Reconnaissance Survey low resolution transmission spectra. Among the goals of the ARIEL Reconnaissance Survey is also to identify planets without molecular features in their atmosphere. In this work, (1) we present a strategy that will allow to select candidate planets to be reobserved in a ARIEL's higher resolution Tier; (2) we propose a metric to preliminary classify exoplanets by their atmospheric composition without performing an atmospheric retrieval; (3) we introduce the possibility to find other methods to better exploit the data scientific content.

31 pages, 14 figures, submitted to ApJ

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Cited by in corpus (8)

• The Ariel Target List: The Impact of TESS and the Potential for Characterising Multiple Planets Within a System
• ARES VI: Viability of one-dimensional retrieval models for transmission spectroscopy characterization of exo-atmospheres in the era of JWST and Ariel
• Detecting molecules in Ariel low resolution transmission spectra
• Comparing transit spectroscopy pipelines at the catalogue level: evidence for systematic differences
• The effect of spectroscopic binning on atmospheric retrievals
• Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning
• ExoSim 2: the new Exoplanet Observation Simulator applied to the Ariel space mission
• Exploring Synergies between Twinkle and Ariel: a Pilot Study