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Dreaming of atmospheres

Waldmann, IP; (2016) Dreaming of atmospheres. The Astrophysical Journal , 820 (2) , Article 107. 10.3847/0004-637X/820/2/107. Green open access

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Here, we introduce the RobERt (Robotic Exoplanet Recognition) algorithm for the classification of exoplanetary emission spectra. Spectral retrieval of exoplanetary atmospheres frequently requires the preselection of molecular/atomic opacities to be defined by the user. In the era of open-source, automated, and self-sufficient retrieval algorithms, manual input should be avoided. User dependent input could, in worst-case scenarios, lead to incomplete models and biases in the retrieval. The RobERt algorithm is based on deep-belief neural (DBN) networks trained to accurately recognize molecular signatures for a wide range of planets, atmospheric thermal profiles, and compositions. Reconstructions of the learned features, also referred to as the "dreams" of the network, indicate good convergence and an accurate representation of molecular features in the DBN. Using these deep neural networks, we work toward retrieval algorithms that themselves understand the nature of the observed spectra, are able to learn from current and past data, and make sensible qualitative preselections of atmospheric opacities to be used for the quantitative stage of the retrieval process.

Type: Article
Title: Dreaming of atmospheres
Open access status: An open access version is available from UCL Discovery
DOI: 10.3847/0004-637X/820/2/107
Publisher version: http://dx.doi.org/10.3847/0004-637X/820/2/107
Language: English
Additional information: Copyright © 2016. The American Astronomical Society. All rights reserved.
Keywords: methods: data analysis, methods: statistical, radiative transfer, techniques: spectroscopic
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy
URI: https://discovery.ucl.ac.uk/id/eprint/1479587
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