A catalogue of exoplanet atmospheric retrieval codes

Ryan J. MacDonald; Natasha E. Batalha

doi:10.3847/2515-5172/acc46a

A catalogue of exoplanet atmospheric retrieval codes

Ryan J. MacDonald^*, Natasha E. Batalha

^*Corresponding author for this work

School of Physics and Astronomy

Research output: Contribution to journal › Article

Abstract

Exoplanet atmospheric retrieval is a computational technique widely used to infer properties of planetary atmospheres from remote spectroscopic observations. Retrieval codes typically employ Bayesian sampling algorithms or machine learning approaches to explore the range of atmospheric properties (e.g., chemical composition, temperature structure, aerosols) compatible with an observed spectrum. However, despite the wide adoption of exoplanet retrieval techniques, there is currently no systematic summary of exoplanet retrieval codes in the literature. Here, we provide a catalogue of the atmospheric retrieval codes published to date, alongside links to their respective code repositories where available. Our catalogue will be continuously updated via a Zenodo archive.

Original language	English
Article number	54
Number of pages	6
Journal	Research Notes of the AAS
Volume	7
Issue number	3
DOIs	https://doi.org/10.3847/2515-5172/acc46a
Publication status	Published - 1 Mar 2023

Keywords

Planets and satellites: atmospheres
Techniques: spectroscopic
Methods: data analysis

Access to Document

10.3847/2515-5172/acc46aLicence: CC BY

MacDonald_2023_RNAAS_Catalogue-exoplanet-astmospheric-retrieval-codes_CC
© 2023 The Author(s). Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by/4.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Final published version, 358 KBLicence: CC BY

Cite this

@article{37048803219a43afac1b86b819bc34bd,

title = "A catalogue of exoplanet atmospheric retrieval codes",

abstract = "Exoplanet atmospheric retrieval is a computational technique widely used to infer properties of planetary atmospheres from remote spectroscopic observations. Retrieval codes typically employ Bayesian sampling algorithms or machine learning approaches to explore the range of atmospheric properties (e.g., chemical composition, temperature structure, aerosols) compatible with an observed spectrum. However, despite the wide adoption of exoplanet retrieval techniques, there is currently no systematic summary of exoplanet retrieval codes in the literature. Here, we provide a catalogue of the atmospheric retrieval codes published to date, alongside links to their respective code repositories where available. Our catalogue will be continuously updated via a Zenodo archive.",

keywords = "Planets and satellites: atmospheres, Techniques: spectroscopic, Methods: data analysis",

author = "MacDonald, {Ryan J.} and Batalha, {Natasha E.}",

year = "2023",

month = mar,

day = "1",

doi = "10.3847/2515-5172/acc46a",

language = "English",

volume = "7",

journal = "Research Notes of the AAS",

issn = "2515-5172",

publisher = "The American Astronomical Society",

number = "3",

}

TY - JOUR

T1 - A catalogue of exoplanet atmospheric retrieval codes

AU - MacDonald, Ryan J.

AU - Batalha, Natasha E.

PY - 2023/3/1

Y1 - 2023/3/1

N2 - Exoplanet atmospheric retrieval is a computational technique widely used to infer properties of planetary atmospheres from remote spectroscopic observations. Retrieval codes typically employ Bayesian sampling algorithms or machine learning approaches to explore the range of atmospheric properties (e.g., chemical composition, temperature structure, aerosols) compatible with an observed spectrum. However, despite the wide adoption of exoplanet retrieval techniques, there is currently no systematic summary of exoplanet retrieval codes in the literature. Here, we provide a catalogue of the atmospheric retrieval codes published to date, alongside links to their respective code repositories where available. Our catalogue will be continuously updated via a Zenodo archive.

AB - Exoplanet atmospheric retrieval is a computational technique widely used to infer properties of planetary atmospheres from remote spectroscopic observations. Retrieval codes typically employ Bayesian sampling algorithms or machine learning approaches to explore the range of atmospheric properties (e.g., chemical composition, temperature structure, aerosols) compatible with an observed spectrum. However, despite the wide adoption of exoplanet retrieval techniques, there is currently no systematic summary of exoplanet retrieval codes in the literature. Here, we provide a catalogue of the atmospheric retrieval codes published to date, alongside links to their respective code repositories where available. Our catalogue will be continuously updated via a Zenodo archive.

KW - Planets and satellites: atmospheres

KW - Techniques: spectroscopic

KW - Methods: data analysis

U2 - 10.3847/2515-5172/acc46a

DO - 10.3847/2515-5172/acc46a

M3 - Article

SN - 2515-5172

VL - 7

JO - Research Notes of the AAS

JF - Research Notes of the AAS

IS - 3

M1 - 54

ER -

A catalogue of exoplanet atmospheric retrieval codes

Abstract

Keywords

Access to Document

Fingerprint

Cite this