124 citations · 302 across the 8 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…
Super-adiabatic Temperature Gradient at Jupiter's Equatorial Zone and Implications for the Water Abundance
Cheng Li, Michael Allison, Sushil Atreya +12
The temperature structure of a giant planet was traditionally thought to be an adiabat assuming convective mixing homogenizes entropy. The only in-situ measurement made by the Gali…