A retrieval challenge exercise for the Ariel mission

Barstow, Joanna K.; Changeat, Quentin; Chubb, Katy L.; Cubillos, Patricio; Edwards, Billy; Macdonald, Ryan; Min, M.; Waldmann, Ingo

doi:10.1007/s10686-021-09821-w

Cited by 17 publications

(9 citation statements)

References 79 publications

(85 reference statements)

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“…The computation of observables have been benchmarked against petitCODE in Ormel & Min (2019). Also ARCiS was part of the code comparison challenge conducted in the framework of the Ariel mission comparing the forward modelling and retrieval outputs of five different codes (Barstow et al 2020). All five codes in this comparison showed excellent agreement on retrieved properties and accompanying uncertainties.…”

Section: Computation Of Transmission and Emission Spectramentioning

confidence: 99%

The ARCiS framework for Exoplanet Atmospheres: Modelling Philosophy and Retrieval

Min,

Ormel,

Chubb

et al. 2020

Preprint

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Aims. ARCiS, a novel code for the analysis of exoplanet transmission and emission spectra is presented. The aim of the modelling framework is to provide a tool able to link observations to physical models of exoplanet atmospheres. Methods. The modelling philosophy chosen in this paper is to use physical and chemical models to constrain certain parameters while keeping free the parts where our physical understanding is still more limited. This approach, in between full physical modelling and full parameterisation, allows us to use the processes we understand well and parameterise those less understood. A Bayesian retrieval framework is implemented and applied to the transit spectra of a set of 10 hot Jupiters. The code contains chemistry and cloud formation and has the option for self consistent temperature structure computations. Results. The code presented is fast and flexible enough to be used for retrieval and for target list simulations for e.g. JWST or the ESA Ariel missions. We present results for the retrieval of elemental abundance ratios using the physical retrieval framework and compare this to results obtained using a parameterised retrieval setup. Conclusions. We conclude that for most of the targets considered the current dataset is not constraining enough to reliably pin down the elemental abundance ratios. We find no significant correlations between different physical parameters. We confirm that planets in our sample with a strong slope in the optical transmission spectrum are the planets where we find cloud formation to be most active. Finally, we conclude that with ARCiS we have a computationally efficient tool to analyse exoplanet observations in the context of physical and chemical models.

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Section: Computation Of Transmission and Emission Spectramentioning

confidence: 99%

The ARCiS framework for Exoplanet Atmospheres: Modelling Philosophy and Retrieval

Min,

Ormel,

Chubb

et al. 2020

Preprint

Self Cite

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“…In the very near future, atmospheric retrieval tools are likely to see widespread application to exoplanet observations from NASA's James Webb Space Telescope (JWST; Cowan et al 2015;Greene et al 2016;Krissansen-Totton et al 2018;Nixon & Madhusudhan 2022). Inverse modeling tools are also likely to prove key when interpreting exoplanet observations from near-future exoplanet-themed missions, such as NASA's Nancy Grace Roman Space Telescope (Roman; Marley et al 2014;Lupu et al 2016;Nayak et al 2017;Akeson et al 2019;Kasdin et al 2020) and ESA's Ariel mission (Tinetti et al 2016;Barstow et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Exploring and Validating Exoplanet Atmospheric Retrievals with Solar System Analog Observations

Robinson¹,

Salvador²

2023

Planet. Sci. J.

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Solar system observations that serve as analogs for exoplanet remote sensing data can provide important opportunities to validate ideas and models related to exoplanet environments. Critically, and unlike true exoplanet observations, solar system analog data benefit from available high-quality ground- or orbiter-derived “truth” constraints that enable strong validations of exoplanet data interpretation tools. In this work, we first present a versatile atmospheric retrieval suite, capable of application to reflected light, thermal emission, and transmission observations spanning a broad range of wavelengths and thermochemical conditions. The tool—dubbed rfast—is designed, in part, to enable exoplanet mission concept feasibility studies. Following model validation, the retrieval tool is applied to a range of solar system analog observations for exoplanet environments. Retrieval studies using Earth reflected light observations from NASA’s EPOXI mission provide a key proof of concept for exo-Earth direct imaging concept missions under development. Inverse modeling applied to an infrared spectrum of Earth from the Mars Global Surveyor Thermal Emission Spectrometer achieves good constraints on atmospheric gases, including many biosignature gases. Finally, retrieval analysis applied to a transit spectrum of Titan derived from the Cassini Visual and Infrared Mapping Spectrometer provides a proof of concept for interpreting more feature-rich transiting exoplanet observations from NASA’s James Webb Space Telescope. In the future, solar system analog observations for exoplanets could be used to verify exoplanet models and parameterizations, and future exoplanet analog observations of any solar system worlds from planetary science missions should be encouraged.

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“…In the very near future, atmospheric retrieval tools are likely to see widespread application to exoplanet observations from NASA's JWST (Cowan et al 2015;Greene et al 2016;Krissansen-Totton et al 2018;Nixon & Madhusudhan 2022). Inverse modeling tools are also likely to prove key when interpreting exoplanet observations from near-future exoplanet-themed missions, such as NASA's Nancy Grace Roman Space Telescope (Roman; Akeson et al 2019;Kasdin et al 2020;Marley et al 2014;Lupu et al 2016;Nayak et al 2017) and ESA's Ariel mission (Tinetti et al 2016;Barstow et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Exploring and Validating Exoplanet Atmospheric Retrievals with Solar System Analog Observations

Robinson¹,

Salvador²

2022

Preprint

View full text Add to dashboard Cite

Solar System observations that serve as analogs for exoplanet remote sensing data can provide important opportunities to validate ideas and models related to exoplanet environments. Critically, and unlike true exoplanet observations, Solar System analog data benefit from available high-quality ground-or orbiter-derived "truth" constraints that enable strong validations of exoplanet data interpretation tools. In this work, we first present a versatile atmospheric retrieval suite, capable of application to reflected light, thermal emission, and transmission observations. The tool -dubbed rfast -is designed, in part, to enable exoplanet mission concept feasibility studies. Following model validation, the retrieval tool is applied to a range of Solar System analog observations for exoplanet environments. Retrieval studies using Earth reflected light observations from NASA's EPOXI mission provide a key proof-of-concept for under-development exo-Earth direct imaging concept missions. Inverse modeling applied to an infrared spectrum of Earth from the Mars Global Surveyor Thermal Emission Spectrometer achieves good constraints on atmospheric gases, including many biosignature gases. Finally, retrieval analysis applied to a transit spectrum of Titan derived from the Cassini Visual and Infrared Mapping Spectrometer provides a proof-of-concept for interpreting more feature-rich transiting exoplanet observations from NASA's James Webb Space Telescope (JWST ). In the future, Solar System analog observations for exoplanets could be used to verify exoplanet models and parameterizations, and future exoplanet analog observations of any Solar System worlds from planetary science missions should be encouraged.

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A retrieval challenge exercise for the Ariel mission

Cited by 17 publications

References 79 publications

The ARCiS framework for Exoplanet Atmospheres: Modelling Philosophy and Retrieval

The ARCiS framework for Exoplanet Atmospheres: Modelling Philosophy and Retrieval

Exploring and Validating Exoplanet Atmospheric Retrievals with Solar System Analog Observations

Exploring and Validating Exoplanet Atmospheric Retrievals with Solar System Analog Observations

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