• DocumentCode
    3034247
  • Title

    Statistical estimation of uncertainty for single event effect rate in OMERE

  • Author

    Sukhaseum, Nicolas ; Chatry, Nathalie ; Varotsou, Athina ; Thomas, Jean-Charles ; Bezerra, Françoise ; Ecoffet, Robert

  • Author_Institution
    TRAD Tests & Radiat., Labège, France
  • fYear
    2011
  • fDate
    19-23 Sept. 2011
  • Firstpage
    401
  • Lastpage
    407
  • Abstract
    Single Event Effect (SEE) rate prediction is made by combining the cross section vs LET for the part (from heavy ion test) with the on-orbit radiation environment. A significant number of technological parameters are involved in the Single Event Rate (SER) computation. Some of them may not be known and must be guessed. Those approximated values may dramatically increase the SER uncertainty. In the first step, this paper is focused on the SER calculation dependency on 3 types of parameters: device parameters characterizing radiation sensitivity, Weibull fit parameters and radiation environment parameters. We highlight the most critical parameters in heavy ion SEE rate calculation, using the RPP method and a Weibull distribution. An uncertainty calculation method based on a statistical approach has been implemented in OMERE.
  • Keywords
    Weibull distribution; approximation theory; radiation hardening (electronics); LET; OMERE; RPP method; SEE rate calculation; SEE rate prediction; SER computation; Weibull distribution; on-orbit radiation environment; radiation environment parameters; radiation sensitivity; single event effect rate prediction; single event rate computation; statistical estimation; uncertainty calculation method; Genetic algorithms; Iron; Maximum likelihood estimation; Shape; Uncertainty; Weibull distribution; RPP method; SEE rate; Weibull; maximum likelihood; uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radiation and Its Effects on Components and Systems (RADECS), 2011 12th European Conference on
  • Conference_Location
    Sevilla
  • ISSN
    0379-6566
  • Print_ISBN
    978-1-4577-0585-4
  • Type

    conf

  • DOI
    10.1109/RADECS.2011.6131415
  • Filename
    6131415