2022
DOI: 10.5194/epsc2022-1114
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Ariel: Enabling planetary science across light-years

Abstract: <p>Ariel, the Atmospheric Remote-sensing Infrared Exoplanet Large-survey, was adopted as the fourth medium-class mission in ESA's Cosmic Vision programme to be launched in 2029. During its 4-year mission, Ariel will study what exoplanets are made of, how they formed and how they evolve, by surveying a diverse sample of about 1000 extrasolar planets, simultaneously in visible and infrared wavelengths. It is the first mission dedicated to measuring the chemical composition and thermal structures of… Show more

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Cited by 7 publications
(2 citation statements)
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“…Ariel (Tinetti et al 2020) (Atmospheric Remote‐Sensing Infrared Large‐survey) is an ESA‐funded M‐class mission that will perform a chemical census of the atmospheres of about 1000 exoplanets. An artist's concept of the Ariel spacecraft and payload are shown in Figure 22.…”
Section: Ariel Exoplanet Spectroscopy Missionmentioning
confidence: 99%
“…Ariel (Tinetti et al 2020) (Atmospheric Remote‐Sensing Infrared Large‐survey) is an ESA‐funded M‐class mission that will perform a chemical census of the atmospheres of about 1000 exoplanets. An artist's concept of the Ariel spacecraft and payload are shown in Figure 22.…”
Section: Ariel Exoplanet Spectroscopy Missionmentioning
confidence: 99%
“…The data provided by the next-generation telescopes will be greatly superior in quality and quantity, allowing us to obtain more stringent constraints to our understanding of clouds in exoplanetary atmospheres. Transit spectra of exoplanets recorded from space by the James Webb Space Telescope (JWST; 0.6-28.3 μm, Gardner et al 2006;Greene et al 2016;Bean et al 2018), Ariel (0.5-7.8 μm, Tinetti et al 2018Tinetti et al , 2021, and Twinkle (0.5-4.5 μm, Edwards et al 2019) at relatively high spectral resolution and/or broad wavelength coverage will open the possibility of integrating self-consistent, cloud microphysics approaches into atmospheric retrieval codes. A good example of such models is ARCiS (Ormel & Min 2019;Min et al 2020), which simulates cloud formation from diffusion processes and parametric coagulation.…”
Section: Introductionmentioning
confidence: 99%