• DocumentCode
    1941014
  • Title

    ISSCREM: International Space Station cosmic radiation exposure model

  • Author

    El-Jaby, Samy ; Lewis, Brent J. ; Tomi, Leena ; Sihver, Lembit ; Sato, Tatsuhiko ; Lee, Kerry T. ; Johnson, A Steve

  • Author_Institution
    Royal Military College of Canada, Department of Chemistry and Chemical Engineering, 17000 Station Forces, Kingston, ON K7K7B4, Canada
  • fYear
    2013
  • fDate
    2-9 March 2013
  • Firstpage
    1
  • Lastpage
    18
  • Abstract
    A semi-empirical model is derived from operational data collected aboard the International Space Station (ISS) with the U.S. tissue equivalent proportional counter (TEPC). The model provides daily and cumulative mission predictions of the operational dose equivalent that space-crew may receive from galactic cosmic radiation (GCR) and trapped radiation (TR) sources as a function of the ISS orbit. The parametric model for GCR exposure correlates the TEPC dose equivalent rate to the cutoff rigidity at ISS altitudes while the TR parametric model relates this quantity to the mean atmospheric density at the crossing of the South Atlantic Anomaly (SAA). The influences of solar activity, flux asymmetry inside the SAA, detector orientation, and position aboard the ISS on the dose equivalent have been examined. The model has been successfully benchmarked against measured data for GCR and TR exposures to within ±10% and ±20%, respectively, over periods of time ranging from a single day to a full mission. In addition, preliminary estimates of the protection quantity of effective dose equivalent have been simulated using the PHITS Monte Carlo transport code. These simulations indicate that the TEPC dose equivalent is a conservative estimate of the effective dose equivalent.
  • Keywords
    Atmospheric modeling; Data models; Earth; Ions; Magnetic fields; Parametric statistics; Space stations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2013 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4673-1812-9
  • Type

    conf

  • DOI
    10.1109/AERO.2013.6497420
  • Filename
    6497420