Simulations of the MATROSHKA experiment at the international space station using PHITS
Journal article, 2010

Concerns about the biological effects of space radiation are increasing rapidly due to the perspective of long-duration manned missions, both in relation to the International Space Station (ISS) and to manned interplanetary missions to Moon and Mars in the future. As a preparation for these long-duration space missions, it is important to ensure an excellent capability to evaluate the impact of space radiation on human health, in order to secure the safety of the astronauts/cosmonauts and minimize their risks. It is therefore necessary to measure the radiation load on the personnel both inside and outside the space vehicles and certify that organ- and tissue-equivalent doses can be simulated as accurate as possible. In this paper, simulations are presented using the three-dimensional Monte Carlo Particle and Heavy-Ion Transport code System (PHITS) (Iwase et al. in J Nucl Sci Tech 39(11):1142-1151, 2002) of long-term dose measurements performed with the European Space Agency-supported MATROSHKA (MTR) experiment (Reitz and Berger in Radiat Prot Dosim 120:442-445, 2006). MATROSHKA is an anthropomorphic phantom containing over 6,000 radiation detectors, mimicking a human head and torso. The MTR experiment, led by the German Aerospace Center (DLR), was launched in January 2004 and has measured the absorbed doses from space radiation both inside and outside the ISS. Comparisons of simulations with measurements outside the ISS are presented. The results indicate that PHITS is a suitable tool for estimation of doses received from cosmic radiation and for study of the shielding of spacecraft against cosmic radiation.

benchmarking

code

accurate universal parameterization

absorption cross-sections

particle

Author

Lembit Sihver

Chalmers, Applied Physics, Nuclear Engineering

T. Sato

Japan Atomic Energy Agency

Monika Puchalska

Chalmers, Applied Physics, Nuclear Engineering

G. Reitz

German Aerospace Center (DLR)

Radiation and Environmental Biophysics

0301-634X (ISSN) 1432-2099 (eISSN)

Vol. 49 3 351-357

Subject Categories

Physical Sciences

DOI

10.1007/s00411-010-0288-y

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Latest update

7/29/2019