Computer Science
Scientific paper
Nov 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994aero.rept.....k&link_type=abstract
Technical Report Aerospace Corp., El Segundo, CA. Technology Operations.
Computer Science
Electron Radiation, Electrons, Geosynchronous Orbits, Manned Spacecraft, Neural Nets, Radiation Dosage, Relativistic Particles, Synchronous Satellites, Variability, Energy Spectra, Flux (Rate), High Energy Electrons, Middle Atmosphere, Precipitation (Chemistry), Sunspots, Temporal Distribution
Scientific paper
A neural network that was developed to model the temporal variations of relativistic (greater than 3 MeV) electrons at geosynchronous orbit has been used to estimate the long-term variability of the radiation dose to geosynchronous spacecraft. The input to the neural network consists of 10 consecutive days of the daily sum of the planetary magnetic index Epsilon Kp. The output is an estimate of the daily-averaged electron flux for the tenth day. The model was used to compute the daily-averaged electron flux for energies greater than 3 MeV for each day from January 1933 through December 1988. Assuming that the average energy spectrum is independent of time, the annual radiation dose of electrons greater than 300 keV is obtained by scaling the model output to 300 keV and summing the daily-averaged flux for each year. The annual dose is found to vary from 0.25 to 0.4 times its average value. The dose is found to correlate only weakly with the annual mean sunspot number. The results are also applicable to studies of the effect on the middle atmosphere of the long-term variability of the precipitation of these electrons into the atmosphere.
Bernard Blake J.
Gorney David J.
Koons Harry C.
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