195 citations · 364 across the 15 of their papers we have counts for
20 papers
Atmospheric retrievals for LIFE and other future space missions: the importance of mitigating systematic effects
Eleonora Alei, Björn S. Konrad, Paul Mollière +4
Atmospheric retrieval studies are essential to determine the science requirements for future generation missions, such as the Large Interferometer for Exoplanets (LIFE). The use of…
Six transiting planets and a chain of Laplace resonances in TOI-178
A. Leleu, Y. Alibert, N. C. Hara +152
Determining the architecture of multi-planetary systems is one of the cornerstones of understanding planet formation and evolution. Resonant systems are especially important as the…
Indications for very high metallicity and absence of methane for the eccentric exo-Saturn WASP-117b
Ludmila Carone, Paul Mollière, Yifan Zhou +12
We investigate the atmospheric composition of the long period ( 10 days), eccentric exo-Saturn WASP-117b. WASP-117b could be in atmospheric temperature and chemistry…
An Unusual Transmission Spectrum for the Sub-Saturn KELT-11b Suggestive of a Sub-Solar Water Abundance
Knicole D. Colón, Laura Kreidberg, Luis Welbanks +30
We present an optical-to-infrared transmission spectrum of the inflated sub-Saturn KELT-11b measured with the Transiting Exoplanet Survey Satellite (TESS), the Hubble Space Telesco…
Unsupervised Distribution Learning for Lunar Surface Anomaly Detection
Adam Lesnikowski, Valentin T. Bickel, Daniel Angerhausen
In this work we show that modern data-driven machine learning techniques can be successfully applied on lunar surface remote sensing data to learn, in an unsupervised way, sufficie…
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval
Adam D. Cobb, Michael D. Himes, Frank Soboczenski +7
Machine learning is now used in many areas of astrophysics, from detecting exoplanets in Kepler transit signals to removing telescope systematics. Recent work demonstrated the pote…