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ExoAI SIGNED

Deciphering super-Earths using Artificial Intelligence

Total Cost €

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EC-Contrib. €

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Partnership

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 ExoAI project word cloud

Explore the words cloud of the ExoAI project. It provides you a very rough idea of what is the project "ExoAI" about.

encompassing    absent    discovery    earth    scenarios    radius    algorithm    picture    models    strategy    chemistry    atmospheres    big    recognise    instrument    chemistries    catalogue    vital    fundamentally    intelligence    discoveries    calibration    types    climate    degeneracies    away    suggest    extrasolar    spectral    status    cnc    self    migration    bulk    galaxy    nature    networks    milky    made    broken    mass    first    atmospheric    estimates    solar    stars    atmosphere    quantitative    larger    55    artificial    data    exoplanet    community    variety    neural    framework    earths    globally    quo    mystery    analysing    fundamental    move    retrieval    worlds    bayesian    transformed    consistent    evolution    individual    full    treating    spectroscopy    orbiting    underlying    discovered    alone    super    abundant    planets    entirely    densities    planet    model    calibrating    intelligently    shown    histories    showcasing    algorithms    autonomously    exoai    uniformly    place   

Project "ExoAI" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY COLLEGE LONDON 

Organization address
address: GOWER STREET
city: LONDON
postcode: WC1E 6BT
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 1˙500˙000 €
 EC max contribution 1˙500˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON UK (LONDON) coordinator 1˙500˙000.00

Map

 Project objective

The discovery of extrasolar planets - i.e. planets orbiting other stars - has fundamentally transformed our understanding of planets, solar systems and our place in the Milky Way. Recent discoveries have shown that planets between 1-2 R are the most abundant in our galaxy, so called super-Earths. Yet, they are entirely absent from our own solar system. Their nature, chemistry, formation histories or climate remain very much a mystery. Estimates of their densities suggest a variety of possible planet types and formation/evolution scenarios but current degeneracies cannot be broken with mass/radius measures alone. Spectroscopy of their atmospheres can provide vital insight. Recently, the first atmosphere around a super-Earth, 55 Cnc e, was discovered, showcasing that these worlds are far more complex than simple densities allow us to constrain. To achieve a more fundamental understanding, we need to move away from the status quo of treating individual planets as case-studies and analysing data ‘by hand’. A globally encompassing, self-consistent and self-calibrating approach is required. Here, I propose to move the field a significant step towards this goal with the ExoAI (Exoplanet Artificial Intelligence) framework. ExoAI will use state-of-the-art neural networks and Bayesian atmospheric retrieval algorithms applied to big-data. Given all available data of an instrument, ExoAI will autonomously learn the best calibration strategy, intelligently recognise spectral features and provide a full quantitative atmospheric model for every planet observed. This uniformly derived catalogue of super-Earth atmospheric models, will move us on from the individual case-studies and allow us to study the larger picture. We will constrain the underlying processes of planet formation/migration and bulk chemistries of super-Earths. The algorithm and the catalogue of atmospheric and instrument models will be made freely available to the community.

 Deliverables

List of deliverables.
Data Management Plan Open Research Data Pilot 2019-05-16 22:46:20

Take a look to the deliverables list in detail:  detailed list of ExoAI deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Angelos Tsiaras, Ingo P. Waldmann, Giovanna Tinetti, Jonathan Tennyson, Sergey N. Yurchenko
Water vapour in the atmosphere of the habitable-zone eight-Earth-mass planet K2-18 b
published pages: , ISSN: 2397-3366, DOI: 10.1038/s41550-019-0878-9
Nature Astronomy 2019-09-26
2019 Peter C. Nagler, Billy Edwards, Brian Kilpatrick, Nikole K. Lewis, Pierre Maxted, C. Barth Netterfield, Vivien Parmentier, Enzo Pascale, Subhajit Sarkar, Gregory S. Tucker, Ingo Waldmann
Observing Exoplanets in the Near-Infrared from a High Altitude Balloon Platform
published pages: 1950011, ISSN: 2251-1717, DOI: 10.1142/S2251171719500119
Journal of Astronomical Instrumentation 08/03 2019-09-26
2019 Billy Edwards, Malena Rice, Tiziano Zingales, Marcell Tessenyi, Ingo Waldmann, Giovanna Tinetti, Enzo Pascale, Giorgio Savini, Subhajit Sarkar
Exoplanet spectroscopy and photometry with the Twinkle space telescope
published pages: 29-63, ISSN: 0922-6435, DOI: 10.1007/s10686-018-9611-4
Experimental Astronomy 47/1-2 2019-08-05
2019 I. P. Waldmann, C. A. Griffith
Mapping Saturn using deep learning
published pages: , ISSN: 2397-3366, DOI: 10.1038/s41550-019-0753-8
Nature Astronomy 2019-08-05
2018 Olivia Venot, Benjamin Drummond, Yamila Miguel, Ingo P. Waldmann, Enzo Pascale, Tiziano Zingales
A better characterization of the chemical composition of exoplanets atmospheres with ARIEL
published pages: 101-134, ISSN: 0922-6435, DOI: 10.1007/s10686-018-9597-y
Experimental Astronomy 46/1 2019-08-05
2018 O. Venot, Y. Bénilan, N. Fray, M.-C. Gazeau, F. Lefèvre, Et. Es-sebbar, E. Hébrard, M. Schwell, C. Bahrini, F. Montmessin, M. Lefèvre, I. P. Waldmann
VUV-absorption cross section of carbon dioxide from 150 to 800 K and applications to warm exoplanetary atmospheres
published pages: A34, ISSN: 0004-6361, DOI: 10.1051/0004-6361/201731295
Astronomy & Astrophysics 609 2019-08-05
2019 A. Caldas, J. Leconte, F. Selsis, I. P. Waldmann, P. Bordé, M. Rocchetto, B. Charnay
Effects of a fully 3D atmospheric structure on exoplanet transmission spectra: retrieval biases due to day–night temperature gradients
published pages: A161, ISSN: 0004-6361, DOI: 10.1051/0004-6361/201834384
Astronomy & Astrophysics 623 2019-08-05
2019 Changeat, Quentin; Edwards, Billy; Waldmann, Ingo; Tinetti, Giovanna
Towards a more complex description of chemical profiles in exoplanets retrievals: A 2-layer parameterisation
published pages: , ISSN: 1538-3881, DOI:
The Astronomical Journal 2 2019-08-05
2018 Jacob L. Bean, Kevin B. Stevenson, Natalie M. Batalha, Zachory Berta-Thompson, Laura Kreidberg, Nicolas Crouzet, Björn Benneke, Michael R. Line, David K. Sing, Hannah R. Wakeford, Heather A. Knutson, Eliza M.-R. Kempton, Jean-Michel Désert, Ian Crossfield, Natasha E. Batalha, Julien de Wit, Vivien Parmentier, Joseph Harrington, Julianne I. Moses, Mercedes Lopez-Morales, Munazza K. Alam, Jasmina
The Transiting Exoplanet Community Early Release Science Program for JWST
published pages: 114402, ISSN: 0004-6280, DOI: 10.1088/1538-3873/aadbf3
Publications of the Astronomical Society of the Pacific 130/993 2019-08-05
2019 Kai Hou Yip, Nikolaos Nikolaou, Piero Coronica, Angelos Tsiaras, Billy Edwards, Quentin Changeat, Mario Morvan, Beth Biller, Sasha Hinkley, Jeffrey Salmond, Matthew Archer, Paul Sumption, Elodie Choquet, Remi Soummer, Laurent Pueyo, Ingo P. Waldmann
Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep Learning
published pages: , ISSN: , DOI:
ECML PKDD Journal 2019-08-05
2018 Tiziano Zingales, Ingo P. Waldmann
ExoGAN: Retrieving Exoplanetary Atmospheres Using Deep Convolutional Generative Adversarial Networks
published pages: 268, ISSN: 1538-3881, DOI: 10.3847/1538-3881/aae77c
The Astronomical Journal 156/6 2019-08-05
2018 Brian M. Kilpatrick, Patricio E. Cubillos, Kevin B. Stevenson, Nikole K. Lewis, Hannah R. Wakeford, Ryan J. MacDonald, Nikku Madhusudhan, Jasmina Blecic, Giovanni Bruno, Adam Burrows, Drake Deming, Kevin Heng, Michael R. Line, Caroline V. Morley, Vivien Parmentier, Gregory S. Tucker, Jeff A. Valenti, Ingo P. Waldmann, Jacob L. Bean, Charles Beichman, Jonathan Fraine, J. E. Krick, Joshua D. Lothrin
Community Targets of JWST ’s Early Release Science Program: Evaluation of WASP-63b
published pages: 103, ISSN: 1538-3881, DOI: 10.3847/1538-3881/aacea7
The Astronomical Journal 156/3 2019-08-05
2018 Giovanna Tinetti, Pierre Drossart, Paul Eccleston, Paul Hartogh, Astrid Heske, Jérémy Leconte, Giusi Micela, Marc Ollivier, Göran Pilbratt, Ludovic Puig, Diego Turrini, Bart Vandenbussche, Paulina Wolkenberg, Jean-Philippe Beaulieu, Lars A. Buchave, Martin Ferus, Matt Griffin, Manuel Guedel, Kay Justtanont, Pierre-Olivier Lagage, Pedro Machado, Giuseppe Malaguti, Michiel Min, Hans Ulrik Nørgaa
A chemical survey of exoplanets with ARIEL
published pages: 135-209, ISSN: 0922-6435, DOI: 10.1007/s10686-018-9598-x
Experimental Astronomy 46/1 2019-08-05
2018 A. Tsiaras, I. P. Waldmann, T. Zingales, M. Rocchetto, G. Morello, M. Damiano, K. Karpouzas, G. Tinetti, L. K. McKemmish, J. Tennyson, S. N. Yurchenko
A Population Study of Gaseous Exoplanets
published pages: 156, ISSN: 1538-3881, DOI: 10.3847/1538-3881/aaaf75
The Astronomical Journal 155/4 2019-06-11

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The information about "EXOAI" are provided by the European Opendata Portal: CORDIS opendata.

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