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 0.5–7.8 μm. 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 us to select candidate planets to be reobserved in Ariel's higher-resolution tier, (2) we propose a metric to preliminary classify exoplanets by their atmospheric composition without performing an atmospheric retrieval, and (3) we introduce the possibility to find other methods to better exploit the data scientific content.

Alfnoor: Assessing the Information Content of Ariel's Low-resolution Spectra with Planetary Population Studies / Mugnai, Lorenzo V.; Al-Refaie, Ahmed; Bocchieri, Andrea; Changeat, Quentin; Pascale, Enzo; Tinetti, Giovanna. - In: THE ASTRONOMICAL JOURNAL. - ISSN 0004-6256. - 162:6(2021), p. 288. [10.3847/1538-3881/ac2e92]

Alfnoor: Assessing the Information Content of Ariel's Low-resolution Spectra with Planetary Population Studies

Mugnai, Lorenzo V.
Primo
;
Bocchieri, Andrea;Pascale, Enzo;Tinetti, Giovanna
2021

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 0.5–7.8 μm. 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 us to select candidate planets to be reobserved in Ariel's higher-resolution tier, (2) we propose a metric to preliminary classify exoplanets by their atmospheric composition without performing an atmospheric retrieval, and (3) we introduce the possibility to find other methods to better exploit the data scientific content.
2021
Transmission spectroscopy, Exoplanet atmospheric composition, Space telescopes
01 Pubblicazione su rivista::01a Articolo in rivista
Alfnoor: Assessing the Information Content of Ariel's Low-resolution Spectra with Planetary Population Studies / Mugnai, Lorenzo V.; Al-Refaie, Ahmed; Bocchieri, Andrea; Changeat, Quentin; Pascale, Enzo; Tinetti, Giovanna. - In: THE ASTRONOMICAL JOURNAL. - ISSN 0004-6256. - 162:6(2021), p. 288. [10.3847/1538-3881/ac2e92]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1589317
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