Proton Core, Proton Beam and Alpha Particle Kinetic Features Obtained from SWA-PAS 3D VDFs via an Innovative Code Based on Machine Learning
- ADS bibcode
- 2022AGUFMSH25E2098D
- year
- 2022
- Listed Authors
- De Marco, Rossana
- Bruno, Roberto
- D'Amicis, Raffaella
- Marcucci, Maria Federica
- Fortunato, Vito
- Perrone, Denise
- Telloni, Daniele
- Mele, Gennaro
- Monti, Francesco
- Owen, Christopher John
- Louarn, Philippe
- Fedorov, Andrei
- Livi, Stefano A.
- Horbury, Timothy Simon
- Listed Institutions
- IAPS-INAF, Rome, Italy
- INAF-IFSI, Rome, Italy
- National Institute for Astrophysics, Institute for Space Astrophysics and Planetology, Rome, Italy
- INAF - IAPS, Rome, Italy
- Planetek, Bari, Italy
- ASI, Rome, Italy
- INAF - OATo, Pino Torinese, Italy
- Leonardo, Taranto, Italy
- TSD, Pozzuoli, Italy
- University College London, Mullard Space Science Laboratory, Dorking, United Kingdom
- IRAP, CNRS, Toulouse, France
- IRAP, CNRS, Toulouse, France
- SwRI, San Antonio, United States
- Imperial College London, London, United Kingdom
Linked Authors [?]
Linked Institutions