Title :
Geant4 Monte Carlo Simulations of the Belt Proton 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 :
Royal Inst. of Technol., Stockholm
Abstract :
A detailed characterization of the trapped-proton-induced radiation environment on board Columbus and the International Space Station (ISS) has been carried out using the Geant4 Monte Carlo particle transport toolkit. Dose and dose equivalent rates, as well as penetrating particle spectra are presented. These results are based on detailed Geant4 geometry models of Columbus and ISS, comprising a total of about 1000 geometry volumes. Simulated trapped-proton dose rates are found to be strongly dependent on ISS altitude. Dose rates for different locations inside the Columbus cabin are presented, as well as for different models of the incident trapped-proton flux. Dose rates resulting from incident anisotropic trapped protons are found to be lower than, or equal to, those of omnidirectional models. The anisotropy induced by the asymmetric shielding distribution of Columbus/ISS is also studied. The simulated trapped-proton dose (equivalent) rates, averaged over different locations inside Columbus, are 120 muGy/d (154 muSv/d) and 79 muGy/d (102 muSv/d) for solar minimum and maximum conditions according to AP8 incident proton spectra and an ISS orbit of 380 km. The solar maximum dose rates are found to be of the same order as measurements in other modules in the present ISS.
Keywords :
Monte Carlo methods; astronomy computing; biological effects of ionising particles; dosimetry; proton effects; radiation belts; shielding; solar radiation; space vehicles; AP8 incident proton spectra; Geant4 Monte Carlo particle transport toolkit; International Space Station; asymmetric shielding distribution; belt proton radiation environment; biological effects of radiation; solar maximum condition; solar minimum condition; trapped-proton dose rates; trapped-proton flux; trapped-proton-induced radiation environment; Anisotropic magnetoresistance; Belts; Geometry; International Space Station; Monte Carlo methods; Physics; Protons; Space exploration; Space stations; Space technology; Biological effects of radiation; Monte Carlo methods; radiation effects; simulation software; space stations;
Journal_Title :
Nuclear Science, IEEE Transactions on
DOI :
10.1109/TNS.2007.896344