• DocumentCode
    1293840
  • Title

    Probability model for worst case solar proton event fluences

  • Author

    Xapsos, M.A. ; Summers, G.P. ; Barth, J.L. ; Stassinopoulos, E.G. ; Burke, E.A.

  • Author_Institution
    Naval Res. Lab., Washington, DC, USA
  • Volume
    46
  • Issue
    6
  • fYear
    1999
  • Firstpage
    1481
  • Lastpage
    1485
  • Abstract
    A predictive model of worst case solar proton event fluences is presented. It allows the expected worst case event fluence to be calculated for a given confidence level and for periods of time corresponding to space missions. The proton energy range is from >1 to >300 MeV, so that the model is useful for a variety of radiation effects applications. For each proton energy threshold, the maximum entropy principle is used to select the initial distribution of solar proton event fluences. This turns out to be a truncated power law, i.e., a power law for smaller event fluences that smoothly approaches zero at a maximum fluence. The strong agreement of the distribution with satellite data for the last three solar cycles indicates this description captures the essential features of a solar proton event fluence distribution. Extreme value theory is then applied to the initial distribution of events to obtain the model of worst case fluences.
  • Keywords
    maximum entropy methods; probability; proton effects; space vehicle electronics; spacecraft charging; 1 to 300 MeV; confidence level; extreme value theory; maximum entropy principle; probability model; proton energy range; proton energy threshold; radiation effects applications; satellite data; solar cycles; space missions; truncated power law; worst case solar proton event fluences; Computer aided software engineering; Costs; Entropy; Guidelines; Laboratories; Orbits; Protons; Radiation effects; Space missions; Space vehicles;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/23.819111
  • Filename
    819111