Title :
Geant4 Monte Carlo Simulations of the Galactic Cosmic Ray Radiation Environment On-Board the International Space Station/Columbus
Author :
Ersmark, Tore ; Carlson, Per ; Daly, Eamonn ; Fuglesang, Christer ; Gudowska, Irena ; Lund-Jensen, Bengt ; Nieminen, Petteri ; Pearce, Mark ; Santin, Giovanni
Author_Institution :
R. Inst. of Technol., Stockholm
Abstract :
A characterization of the Galactic cosmic ray (GCR) induced radiation environment on-board Columbus and the International Space Station (ISS) has been carried out using the Geant4 Monte Carlo particle transport toolkit and detailed geometry models of Columbus and ISS. Dose and dose equivalent rates, as well as penetrating particle spectra are presented. Simulation results indicate that the major part of the dose rates due to GCR protons are associated with secondary particles produced in the hull of ISS. Neutrons contribute about 15% of the GCR proton dose equivalent rate and mesons about 10%. More than 40% of the simulated GCR proton dose and dose equivalent rates are due to protons in the energy range above 10 GeV. Protons in the energy range above 50 GeV contribute only 5% to the dose rates. The total simulated dose and dose equivalent rates at solar maximum are 63 muGy/d and 123 muSv/d, respectively. The dose equivalent rate underestimates measurements made during the 2001 solar maximum. The discrepancy can be attributed to deficiencies in hadronic ion-nuclei interaction models for heavy ions and to the lack of such models above 10 GeV/N in Geant4.
Keywords :
Monte Carlo methods; aerospace biophysics; biological effects of ionising radiation; dosimetry; galactic cosmic rays; DESIRE project; Dose Estimation by Simulation of the ISS Radiation Environment; GCR proton dose equivalent rate; Galactic cosmic ray radiation; Geant4 Monte Carlo simulations; International Space Station Columbus module; dose equivalent rates; hadronic ion-nuclei interaction models; particle transport; Belts; Geometry; International Space Station; Monte Carlo methods; Physics; Protons; Solid modeling; Space stations; Space technology; Space vehicles; Biological effects of radiation; Monte Carlo methods; radiation effects; simulation software; space stations;
Journal_Title :
Nuclear Science, IEEE Transactions on
DOI :
10.1109/TNS.2007.906276