A retrieval challenge exercise for the Ariel mission

Joanna K. Barstow; Quentin Changeat; Katy L. Chubb; Patricio E. Cubillos; Billy Edwards; Ryan J. MacDonald; Michiel Min; Ingo P. Waldmann

doi:10.1007/s10686-021-09821-w

A retrieval challenge exercise for the Ariel mission

Joanna K. Barstow^*, Quentin Changeat, Katy L. Chubb, Patricio E. Cubillos, Billy Edwards, Ryan J. MacDonald, Michiel Min, Ingo P. Waldmann

^*Corresponding author for this work

School of Physics and Astronomy

Research output: Contribution to journal › Article › peer-review

Abstract

The Ariel mission, due to launch in 2029, will obtain spectroscopic information for 1000 exoplanets, providing an unprecedented opportunity for comparative exoplanetology. Retrieval codes - parameteric atmospheric models coupled with an inversion algorithm - represent the tool of choice for interpreting Ariel data. Ensuring that reliable and consistent results can be produced by these tools is a critical preparatory step for the mission. Here, we present the results of a retrieval challenge. We use five different exoplanet retrieval codes to analyse the same synthetic datasets, and test a) the ability of each to recover the correct input solution and b) the consistency of the results. We find that generally there is very good agreement between the five codes, and in the majority of cases the correct solutions are recovered. This demonstrates the reproducibility of retrievals for transit spectra of exoplanets, even when codes are not previously benchmarked against each other.

Original language	English
Pages (from-to)	447-471
Number of pages	25
Journal	Experimental Astronomy
Volume	53
Issue number	2
Early online date	9 Feb 2022
DOIs	https://doi.org/10.1007/s10686-021-09821-w
Publication status	Published - 1 Apr 2022

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title = "A retrieval challenge exercise for the Ariel mission",

abstract = "The Ariel mission, due to launch in 2029, will obtain spectroscopic information for 1000 exoplanets, providing an unprecedented opportunity for comparative exoplanetology. Retrieval codes - parameteric atmospheric models coupled with an inversion algorithm - represent the tool of choice for interpreting Ariel data. Ensuring that reliable and consistent results can be produced by these tools is a critical preparatory step for the mission. Here, we present the results of a retrieval challenge. We use five different exoplanet retrieval codes to analyse the same synthetic datasets, and test a) the ability of each to recover the correct input solution and b) the consistency of the results. We find that generally there is very good agreement between the five codes, and in the majority of cases the correct solutions are recovered. This demonstrates the reproducibility of retrievals for transit spectra of exoplanets, even when codes are not previously benchmarked against each other.",

author = "Barstow, {Joanna K.} and Quentin Changeat and Chubb, {Katy L.} and Cubillos, {Patricio E.} and Billy Edwards and MacDonald, {Ryan J.} and Michiel Min and Waldmann, {Ingo P.}",

note = "Funding: JKB was supported by a Royal Astronomical Society Research Fellowship during this project. This project has received funding from the European Research Council (ERC) under the European Union{\textquoteright}s Horizon 2020 research and innovation programme (grant agreement No 758892, ExoAI and grant agreement No 776403, ExoplANETS-A) and under the European Union{\textquoteright}s Seventh Framework Programme (FP7/2007-2013)/ ERC grant agreement numbers 617119 (ExoLights). Furthermore, we acknowledge funding by the Science and Technology Funding Council (STFC) grants: ST/K502406/1, ST/P000282/1, ST/P002153/1 and ST/S002634/1.",

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doi = "10.1007/s10686-021-09821-w",

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AU - Barstow, Joanna K.

AU - Changeat, Quentin

AU - Chubb, Katy L.

AU - Cubillos, Patricio E.

AU - Edwards, Billy

AU - MacDonald, Ryan J.

AU - Min, Michiel

AU - Waldmann, Ingo P.

N1 - Funding: JKB was supported by a Royal Astronomical Society Research Fellowship during this project. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 758892, ExoAI and grant agreement No 776403, ExoplANETS-A) and under the European Union’s Seventh Framework Programme (FP7/2007-2013)/ ERC grant agreement numbers 617119 (ExoLights). Furthermore, we acknowledge funding by the Science and Technology Funding Council (STFC) grants: ST/K502406/1, ST/P000282/1, ST/P002153/1 and ST/S002634/1.

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Y1 - 2022/4/1

N2 - The Ariel mission, due to launch in 2029, will obtain spectroscopic information for 1000 exoplanets, providing an unprecedented opportunity for comparative exoplanetology. Retrieval codes - parameteric atmospheric models coupled with an inversion algorithm - represent the tool of choice for interpreting Ariel data. Ensuring that reliable and consistent results can be produced by these tools is a critical preparatory step for the mission. Here, we present the results of a retrieval challenge. We use five different exoplanet retrieval codes to analyse the same synthetic datasets, and test a) the ability of each to recover the correct input solution and b) the consistency of the results. We find that generally there is very good agreement between the five codes, and in the majority of cases the correct solutions are recovered. This demonstrates the reproducibility of retrievals for transit spectra of exoplanets, even when codes are not previously benchmarked against each other.

AB - The Ariel mission, due to launch in 2029, will obtain spectroscopic information for 1000 exoplanets, providing an unprecedented opportunity for comparative exoplanetology. Retrieval codes - parameteric atmospheric models coupled with an inversion algorithm - represent the tool of choice for interpreting Ariel data. Ensuring that reliable and consistent results can be produced by these tools is a critical preparatory step for the mission. Here, we present the results of a retrieval challenge. We use five different exoplanet retrieval codes to analyse the same synthetic datasets, and test a) the ability of each to recover the correct input solution and b) the consistency of the results. We find that generally there is very good agreement between the five codes, and in the majority of cases the correct solutions are recovered. This demonstrates the reproducibility of retrievals for transit spectra of exoplanets, even when codes are not previously benchmarked against each other.

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DO - 10.1007/s10686-021-09821-w

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VL - 53

SP - 447

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JO - Experimental Astronomy

JF - Experimental Astronomy

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ER -

A retrieval challenge exercise for the Ariel mission

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