Response of silicon-based linear energy transfer spectrometers: implication for radiation risk assessment in space flights

Details Response of silicon-based linear energy transfer spectrometers: implication for radiation risk assessment in space flights Response of silicon-based linear energy transfer spectrometers: implication for radiation risk assessment in space flights

Jul 2001

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001nimpa.466..464b&link_type=abstract

Nuclear Instruments and Methods in Physics Research Section A, Volume 466, Issue 3, p. 464-474.

Physics

Scientific paper

There is considerable interest in developing silicon-based telescopes because of their compactness and low power requirements. Three such telescopes have been flown on board the Space Shuttle to measure the linear energy transfer spectra of trapped, galactic cosmic ray, and solar energetic particles. Dosimeters based on single silicon detectors have also been flown on the Mir orbital station. A comparison of the absorbed dose and radiation quality factors calculated from these telescopes with that estimated from measurements made with a tissue equivalent proportional counter show differences which need to be fully understood if these telescopes are to be used for astronaut radiation risk assessments. Instrument performance is complicated by a variety of factors. A Monte Carlo-based technique was developed to model the behavior of both single element detectors in a proton beam, and the performance of a two-element, wide-angle telescope, in the trapped belt proton field inside the Space Shuttle. The technique is based on: (1) radiation transport intranuclear-evaporation model that takes into account the charge and angular distribution of target fragments, (2) Landau-Vavilov distribution of energy deposition allowing for electron escape, (3) true detector geometry of the telescope, (4) coincidence and discriminator settings, (5) spacecraft shielding geometry, and (6) the external space radiation environment, including albedo protons. The value of such detailed modeling and its implications in astronaut risk assessment is addressed.

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