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Galactic cosmic ray simulation at the NASA Space Radiation Laboratory.

John W Norbury1, Walter Schimmerling2, Tony C Slaba1

  • 1NASA Langley Research Center, Hampton, VA 23681, USA.

Life Sciences in Space Research
|March 8, 2016
PubMed
Summary
This summary is machine-generated.

New beam switching technology at NASA Space Radiation Laboratory (NSRL) enables realistic simulation of space radiation. This advancement allows for more accurate galactic cosmic ray (GCR) studies in radiobiology research.

Keywords:
Galactic cosmic ray simulationSpace radiation

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Area of Science:

  • Space radiation physics and radiobiology.
  • Accelerator-based radiation simulation.

Background:

  • Traditional space radiation experiments use single ion beams at fixed energies.
  • The actual space environment comprises diverse ion species and a continuous energy spectrum.
  • Previous simulations did not fully replicate the complex space radiation environment.

Purpose of the Study:

  • To discuss the implementation of galactic cosmic ray (GCR) simulation at the NASA Space Radiation Laboratory (NSRL).
  • To evaluate different approaches for developing a GCR simulator.
  • To compare challenges in GCR simulation versus single beam experiments.

Main Methods:

  • Leveraging recent advancements in rapid beam switching technology at NSRL (Brookhaven National Laboratory).
  • Analyzing various strategies for simulating the GCR environment.
  • Comparing experimental issues between single beam and GCR simulation studies.

Main Results:

  • Rapid switching of ion species and energies is now feasible at NSRL.
  • This capability allows for more realistic simulation of the space radiation environment.
  • The paper presents advantages and disadvantages of different GCR simulation approaches.

Conclusions:

  • The new technology at NSRL significantly enhances the ability to simulate space radiation.
  • This facilitates more accurate radiobiology research under realistic GCR conditions.
  • Technical implementation details and unique challenges of GCR simulation are discussed.