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2015 ; 5
(ä): 122
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Issues for Simulation of Galactic Cosmic Ray Exposures for Radiobiological
Research at Ground-Based Accelerators
#MMPMID26090339
Kim MH
; Rusek A
; Cucinotta FA
Front Oncol
2015[]; 5
(ä): 122
PMID26090339
show ga
For radiobiology research on the health risks of galactic cosmic rays (GCR)
ground-based accelerators have been used with mono-energetic beams of single high
charge, Z and energy, E (HZE) particles. In this paper, we consider the pros and
cons of a GCR reference field at a particle accelerator. At the NASA Space
Radiation Laboratory (NSRL), we have proposed a GCR simulator, which implements a
new rapid switching mode and higher energy beam extraction to 1.5 GeV/u, in order
to integrate multiple ions into a single simulation within hours or longer for
chronic exposures. After considering the GCR environment and energy limitations
of NSRL, we performed extensive simulation studies using the stochastic transport
code, GERMcode (GCR Event Risk Model) to define a GCR reference field using 9 HZE
particle beam-energy combinations each with a unique absorber thickness to
provide fragmentation and 10 or more energies of proton and (4)He beams. The
reference field is shown to well represent the charge dependence of GCR dose in
several energy bins behind shielding compared to a simulated GCR environment.
However, a more significant challenge for space radiobiology research is to
consider chronic GCR exposure of up to 3 years in relation to simulations with
animal models of human risks. We discuss issues in approaches to map important
biological time scales in experimental models using ground-based simulation, with
extended exposure of up to a few weeks using chronic or fractionation exposures.
A kinetics model of HZE particle hit probabilities suggests that experimental
simulations of several weeks will be needed to avoid high fluence rate artifacts,
which places limitations on the experiments to be performed. Ultimately risk
estimates are limited by theoretical understanding, and focus on improving
knowledge of mechanisms and development of experimental models to improve this
understanding should remain the highest priority for space radiobiology research.