Application and testing of theL*neural network with the self-consistent magnetic field model of RAM-SCB
Author:
Affiliation:
1. Los Alamos National Laboratory; Los Alamos New Mexico USA
2. Laboratory for Atmospheric and Space Physics; University of Colorado Boulder; Boulder Colorado USA
3. Space Plasma Physics; University of New Hampshire; Durham New Hampshire USA
Publisher
American Geophysical Union (AGU)
Subject
Space and Planetary Science,Geophysics
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/2013JA019350/fullpdf
Reference32 articles.
1. The relativistic electron-proton telescope (REPT) instrument on board the radiation belt storm probes (RBSP) spacecraft: Characterization of Earth's radiation belt high-energy particle populations;Baker;Space Sci. Rev.,2013
2. Multisatellite determination of the relativistic electron phase space density at geosynchronous orbit: Methodology and results during geomagnetically quiet times;Chen;J. Geophys. Res.,2005
3. Multisatellite determination of the relativistic electron phase space density at geosynchronous orbit: An integrated investigation during geomagnetic storm times;Chen;J. Geophys. Res.,2007
4. Uncovering the nonadiabatic response of geosynchronous electrons to geomagnetic disturbance;Gannon;J. Geophys. Res.,2012
5. Relativistic electrons in the outer radiation belt: Differentiating between acceleration mechanisms;Green;J. Geophys. Res.,2004
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