66 citations · 246 across the 12 of their papers we have counts for
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Characterizing Jupiter's interior using machine learning reveals four key structures
Maayan Ziv, Eli Galanti, Saburo Howard +2
The internal structure of Jupiter is constrained by the precise gravity field measurements by NASA's Juno mission, atmospheric data from the Galileo entry probe, and Voyager radio…
NeuralCMS: A deep learning approach to study Jupiter's interior
Maayan Ziv, Eli Galanti, Amir Sheffer +3
NASA's Juno mission provided exquisite measurements of Jupiter's gravity field that together with the Galileo entry probe atmospheric measurements constrains the interior structure…
Three-dimensional atmospheric dynamics of Jupiter from ground-based Doppler imaging spectroscopy in the visible
François-Xavier Schmider, Patrick Gaulme, Raúl Morales-Juberías +25
We present three-dimensional (3D) maps of Jupiter's atmospheric circulation at cloud-top level from Doppler-imaging data obtained in the visible domain with JIVE, the second node o…
On the hypothesis of an inverted Z-gradient inside Jupiter
Saburo Howard, Tristan Guillot, Steve Markham +6
Models of Jupiter s interior struggle to agree with measurements of the atmospheric composition. Interior models favour a subsolar or solar abundance of heavy elements Z while atmo…
TOI-199 b: A well-characterized 100-day transiting warm giant planet with TTVs seen from Antarctica
Melissa J. Hobson, Trifon Trifonov, Thomas Henning +49
We present the spectroscopic confirmation and precise mass measurement of the warm giant planet TOI-199 b. This planet was first identified in TESS photometry and confirmed using g…
Exoplanet Interior Retrievals: core masses and metallicities from atmospheric abundances
Sanne Bloot, Yamila Miguel, Michaël Bazot +1
The mass and distribution of metals in the interiors of exoplanets are essential for constraining their formation and evolution processes. Nevertheless, with only masses and radii…