Tootfinder

UV-dark polar ovals on #Jupiter as tracers of magnetosphere–atmosphere connections: https://de.slideshare.net/slideshow/uv-dark-polar-ovals-on-jupiter-as-tracers-of-magnetosphere-atmosphere-connections/273806682 or https://researchportal.northumbria.ac.uk/ws/portalfiles/portal/176663394/tsubota_manuscript_revision1_complete.pdf (sorry, found these OA versions only now) -> Magnetic Tornado Is Stirring Up the Haze at Jupiter’s Poles: https://vcresearch.berkeley.edu/news/magnetic-tornado-stirring-haze-jupiters-poles - unusual magnetically driven vortices may be generating Earth-size concentrations of hydrocarbon haze.

Second Discovery of GeV-TeV Connection from the Globular Cluster UKS 1
Jiwon Shin (Chungnam National University), C. Y. Hui (Chungnam National University), Sangin Kim (Chungnam National University), Kwangmin Oh (Michigan State University), Ellis R. Owen (RIKEN, Osaka University)
https://arxiv.org/abs/2510.11215

Second Discovery of GeV-TeV Connection from the Globular Cluster UKS 1
Using 16 years of data collected by Fermi Large Area Telescope and 1523 days of survey data from High Altitude Water Cherenkov (HAWC) Observatory, we discovered the long-sought second GeV-TeV connection towards the globular cluster (GC) UKS 1 (Shin et al. 2025). Gamma-ray spectroscopy suggests that the GeV emission can be attributed to both the pulsar magnetosphere and inverse Compton scattering (ICS) by the pulsar wind. In particular, the TeV peak is displaced from the cluster center by severa…

Automatic Identification of Magnetospheric Regions using Supervised Machine Learning Models
Narges Ahmadi, Robert Ergun, Xiangning Chu, Alex Chasapis, Victoria Wilder
https://arxiv.org/abs/2510.00190

Automatic Identification of Magnetospheric Regions using Supervised Machine Learning Models
We present an automated approach for identifying magnetospheric regions using supervised machine learning techniques applied to Magnetospheric MultiScale mission data. Our method utilizes ion energy spectra, total magnetic field, total ion temperature, and spacecraft position data to classify five distinct plasma environments: solar wind, magnetosheath, inner magnetosphere, plasma sheet, and lobe regions. The approach combines a convolutional neural network (CNN) for analyzing ion energy spectr…