• DocumentCode
    84706
  • Title

    Long-Term Destructive SEE Risk and Calculations Using Multiple “Worst-Case” Events Versus Modelling

  • Author

    Jiggens, Piers ; Evans, Hugh ; Truscott, Pete ; Heynderickx, Daniel ; Fan Lei ; DeDonder, Erwin

  • Author_Institution
    Space Environ. & Effects Sect., Eur. Space Res. & Technol. Centre (ESTEC), Noordwijk, Netherlands
  • Volume
    61
  • Issue
    4
  • fYear
    2014
  • fDate
    Aug. 2014
  • Firstpage
    1695
  • Lastpage
    1702
  • Abstract
    A statistical analysis comparing the number of CREME-96 worst-week environments to a space environment particle flux data analysis and the PSYCHIC model is presented. This analysis provides an indication of the number of worst-week environments that are required to obtain a particular confidence level and determine the associated risk of a destructive single event effect over a mission but highlights the drawback of such an approach compared to using a statistical model. A method for direct assessment of the number of Single Event Effects expected specific to components and shielding geometries using the European Space Agency SEPEM system is also presented.
  • Keywords
    aerospace instrumentation; radiation effects; risk analysis; solar cosmic ray particles; statistical analysis; CREME-96 worst week environments; European Space Agency; PSYCHIC model; SEPEM system; destructive single event effect; long term destructive SEE risk; multiple worst-case events; shielding geometry; single event effects; space environment particle flux data analysis; statistical analysis; Analytical models; Data models; Geometry; Ionization; Protons; Space vehicles; Time series analysis; Single Event Effect (SEE); Solar Particle Event (SPE); statistical modelling;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2014.2302994
  • Filename
    6800144