9 citations · 16 across the 2 of their papers we have counts for
2 papers
astro-ph.EP2024★ 7 cited
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…
astro-ph.EP2024★ 9 cited
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…