@article{GuoNiFuetal.2022,
  author    = {Guo, Yingjie and Ni, Binbin and Fu, Song and Wang, Dedong and Shprits, Yuri Y. and Zhelavskaya, Irina and Feng, Minghang and Guo, Deyu},
  title     = {Identification of controlling geomagnetic and solar wind factors for magnetospheric chorus intensity using feature selection techniques},
  series = {Journal of geophysical research : A, Space physics},
  volume    = {127},
  journal   = {Journal of geophysical research : A, Space physics},
  number    = {1},
  publisher = {Wiley},
  address   = {Hoboken, NJ},
  issn      = {2169-9380},
  doi       = {10.1029/2021JA029926},
  pages     = {14},
  year      = {2022},
  abstract  = {Using over-5-year EMFISIS wave measurements from Van Allen Probes, we present a detailed survey to identify the controlling factors among the geomagnetic indices and solar wind parameters for the 1-min root mean square amplitudes of lower band chorus (LBC) and upper band chorus (UBC). A set of important features are automatically determined by feature selection techniques, namely, Random Forest and Maximum Relevancy Minimum Redundancy. Our analysis results indicate the AE index with zero-time-delay dominates the intensity evolution of LBC and UBC, consistent with the evidence that chorus waves prefer to occur and amplify during enhanced substorm periods. Regarding solar wind parameters, solar wind speed and IMF B-z are identified as the controlling factors for chorus wave intensity. Using the combination of all these important features, a predictive neural network model of chorus wave intensity is established to reconstruct the temporal variations of chorus wave intensity, for which application of Random Forest produces the overall best performance. Plain Language Summary Whistler mode chorus waves are electromagnetic waves observed in the low-density region near the geomagnetic equator outside the plasmapause. The dynamics of Earth's radiation belts are largely influenced by chorus waves owing to their dual contributions to both radiation belt electron acceleration and loss. In this study, we use feature selection techniques to identify the controlling geomagnetic and solar wind factors for magnetospheric chorus waves. Feature selection techniques implement the processes which can select the features most influential to the output. In this study, the inputs are geomagnetic indices and solar wind parameters and the output is the chorus wave intensity. The results indicate that AE index with zerotime delay dominates the chorus wave intensity. Furthermore, solar wind speed and IMF B-z are identified as the most important solar wind drivers for chorus wave intensity. On basis of the combination of all these important geomagnetic and solar wind controlling factors, we develop a neural network model of chorus wave intensity, and find that the model with the inputs identified using the Random Forest method produces the overall best performance.},
  language  = {en}
}
@article{LongNiCaoetal.2022,
  author    = {Long, Minyi and Ni, Binbin and Cao, Xing and Gu, Xudong and Kollmann, Peter and Luo, Qiong and Zhou, Ruoxian and Guo, Yingjie and Guo, Deyu and Shprits, Yuri Y.},
  title     = {Losses of radiation belt energetic particles by encounters with four of the inner Moons of Jupiter},
  series = {Journal of geophysical research, Planets},
  volume    = {127},
  journal   = {Journal of geophysical research, Planets},
  number    = {2},
  publisher = {American Geophysical Union},
  address   = {Washington},
  issn      = {2169-9097},
  doi       = {10.1029/2021JE007050},
  pages     = {13},
  year      = {2022},
  abstract  = {Based on an improved model of the moon absorption of Jovian radiation belt particles, we investigate quantitatively and comprehensively the absorption probabilities and particle lifetimes due to encounters with four of the inner moons of Jupiter (Amalthea, Thebe, Io, and Europa) inside L < 10. Our results demonstrate that the resultant average lifetimes of energetic protons and electrons vary dramatically between similar to 0.1 days and well above 1,000 days, showing a strong dependence on the particle equatorial pitch angle, kinetic energy and moon orbit. The average lifetimes of energetic protons and electrons against moon absorption are shortest for Io (i.e., similar to 0.1-10 days) and longest for Thebe (i.e., up to thousands of days), with the lifetimes in between for Europa and Amalthea. Due to the diploe tilt angle absorption effect, the average lifetimes of energetic protons and electrons vary markedly below and above alpha eq \${\alpha }_{\mathrm{e}\mathrm{q}}\$ = 67 degrees. Overall, the average electron lifetimes exhibit weak pitch angle dependence, but the average proton lifetimes are strongly dependent on equatorial pitch angle. The average lifetimes of energetic protons decrease monotonically and substantially with the kinetic energy, but the average lifetimes of energetic electrons are roughly constant at energies <similar to 10 MeV, increase substantially around the Kepler velocities of the moons (similar to 10-50 MeV), and decrease quickly at even higher energies. Compared with the averaged electron lifetimes, the average proton lifetimes are longer at energies below a few MeV and shorter at energies above tens of MeV.},
  language  = {en}
}