S
Suzanne Aigrain
Researcher at University of Oxford
Publications - 359
Citations - 28631
Suzanne Aigrain is an academic researcher from University of Oxford. The author has contributed to research in topics: Planet & Exoplanet. The author has an hindex of 89, co-authored 348 publications receiving 25967 citations. Previous affiliations of Suzanne Aigrain include University of Exeter & European Space Research and Technology Centre.
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The Monitor Project: Searching for Occultations in Young Open Clusters
TL;DR: The Monitor project as mentioned in this paper is a photometric monitoring survey of nine young (1-200Myr) clusters in the solar neighbourhood to search for eclipses by very low mass stars and brown dwarfs and for planetary transits in the light curves of cluster members.
Journal ArticleDOI
Pleiades or Not? Resolving the Status of the Lithium-rich M Dwarfs HHJ 339 and HHJ 430
John Stauffer,David Barrado,Trevor J. David,Luisa Rebull,Lynne A. Hillenbrand,Eric E. Mamajek,Rebecca Oppenheimer,Suzanne Aigrain,Hervé Bouy,Jorge Lillo-Box +9 more
TL;DR: In this paper, the authors used data from Gaia DR2 to confirm that these two stars, HHJ 339 and HHJ 430, are indeed not members of the Pleiades and have ages of ~25 Myr.
Posted Content
The CoRoT exoplanet programme: exploring the gas-giant/terrestrial planet transition
Suzanne Aigrain,Pierre Barge,Magali Deleuil,Francois Fressin,C. Moutou,D. Queloz,M. Auvergne,A. Baglin +7 more
TL;DR: CoRoT as discussed by the authors is the first space mission to have the search for planetary transits at the heart of its science program, and it is expected to be able to detect transits of planets with radii down to approximately two Earth radii and periods up to approximately a month.
Proceedings ArticleDOI
Exoplanets with JWST: degeneracy, systematics and how to avoid them
TL;DR: In this paper, the authors present results of retrieval tests based on synthetic, noisy JWST spectra, for clear and cloudy planets and active and inactive stars, and discuss the usefulness of particular wavelength regions for identifying the presence of cloud, and suggest strategies for solving the highly-degenerate retrieval problem.