Projects in progress
ARCHEOGAL Astrophysics for the Dark Universe GEPARD ESRR JOVIAL KERNEL MAGELLANOATMIL UnlockCepheids tous les projets >>
Past projects
ATMOFLEX DALIA HYPANEMA MOJO ODISSEE OPALES POLCA TEC2 tous les projets >>
Projects in progress
ANR GEPARD ‘Croissance et évolution de planètes dans les disques protoplanétaires’, Resp. Aurélien Crida.
ANR Pristine ‘Pristine - Sondage des premières étoiles Galactiques’, Resp. Vanessa HILL.
ANR ORIGINS ‘A la recherche des planétésimaux de notre système solaire’, Resp. Marco DELBO
ANR GIANTE ‘Lagrangian PropertIesand UniverSality of quaNtum Turbulence’, Resp. Krstulovic Giorgio.
ESRR Evolution stellaire en rotation rapide. Page web du projet ANR ESRR
ANR (2017-2021)
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Planet Forming Disk L'ANR Planet Forming Disk rassemble des observateurs et modélisateurs de disques protoplanétaires pour comprendre comment la dynamique de ces disques peut expliquer les conditions de formations des planètes
ANR (2016-2020)
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KERNEL Ultimate Angular Resolution Astrophysics with kernel-phase and full-aperture interferometry
(ERC) 2016-2021
Frantz Martinache (coordinateur)
Astrophysics for the Dark Universe: Cosmological simulations in the context of dark matter and dark energy research
(ERC) 2016-2021
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JOVIAL Jupiter : Oscillations through Velocimetry Imaging observAtions at several Longitudes.
(ANR) 2016-2020
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UnlockCepheids Libérer le potentiel des Céphéides comme étalons primaires de distance
(ANR) 2015-2019
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ARCHEOGAL La formation du disque Galactifque à l'ère de Gaia - The Milky Way disc formation in the Gaia era.
(ANR) 2014-2019
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Past projects
MAGELLAN Méthodes d'apprentissage pour les très grands réseaux d'antennes en radioastronomie
Machine learning for very large arrays in radioastronomy.
(ANR) 2014-2018
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TEC2 Evaporation et Condensation turbulente
(ANR) 2013-2017
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MOJO Modélisation du processus de croissance des planètes Joviennes
(ANR) 2013-2017
This email address is being protected from spambots. You need JavaScript enabled to view it. (coordinateur)
OATMIL The OATMIL project will propose novel concepts, methodologies, and new tools for exploiting large data collections.
This will result from a cross-fertilization of fundamental tools and ideas from optimal transport (OT) and machine learning (ML)
(ANR) 2017-2021
ODISSEE Optimisation DIStribuée pour l'eStimation d'Environnement par des agEnts autonomes
(ANR)2014-2017
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ATMOFLEX Turbulent Transport in the Atmosphere: Fluctuations and Extreme Events
(ERC)
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OPALES nOn-thermal Processes in gALaxy clustErS
(ANR)
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HYPANEMA Algorithmes de démélange non linéaire pour l'analyse de données hyperspectrales
(ANR) 2012-2015
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DAHLIA Dedicated Algorithms for HyperspectraL Imaging in Astronomy
(ANR)
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POLCA Processing of pOLychromatric interferometriC data for Astrophysics
(ANR)
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