EGU26-15616, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-15616
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Machine-learning-based detection of dust impacts with Juno Waves: Evidence for a new (transient) dusty ring?
1,3,4,3,- 1Department of Earth, Planetary and Space Science, University of California, Los Angeles, CA, U.S.A
- 2Department of Atmospheric and Oceanic Science, University of California, Los Angeles, CA, U.S.A.
- 3Department of Physics and Astronomy, University of Iowa, Iowa City, Iowa, U.S.A.
- 4Department of Astrophysical Sciences, Princeton University, Princeton, NJ, U.S.A.
- 5Southwest Research Institute, San Antonio, TX, U.S.A
How to cite: Zhang, W., Cao, H., Ma, D., Kurth, W. S., Wilkinson, D., Shen, M., Hospodarsky, G., and Bolton, S.: Machine-learning-based detection of dust impacts with Juno Waves: Evidence for a new (transient) dusty ring? , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15616, https://doi.org/10.5194/egusphere-egu26-15616, 2026.