Validation of elastic cross section models for space radiation applications

The space radiation field is composed of energetic particles that pose both acute and long-term risks for astronauts in low earth orbit and beyond. In order to estimate radiation risk to crew members, the fluence of particles and biological response to the radiation must be known at tissue sites. Gi...

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Veröffentlicht in:Nuclear instruments & methods in physics research. Section B, Beam interactions with materials and atoms Beam interactions with materials and atoms, 2017-02, Vol.392, p.74-93
Hauptverfasser: Werneth, C.M., Xu, X., Norman, R.B., Ford, W.P., Maung, K.M.
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container_title Nuclear instruments & methods in physics research. Section B, Beam interactions with materials and atoms
container_volume 392
creator Werneth, C.M.
Xu, X.
Norman, R.B.
Ford, W.P.
Maung, K.M.
description The space radiation field is composed of energetic particles that pose both acute and long-term risks for astronauts in low earth orbit and beyond. In order to estimate radiation risk to crew members, the fluence of particles and biological response to the radiation must be known at tissue sites. Given that the spectral fluence at the boundary of the shielding material is characterized, radiation transport algorithms may be used to find the fluence of particles inside the shield and body, and the radio-biological response is estimated from experiments and models. The fidelity of the radiation spectrum inside the shield and body depends on radiation transport algorithms and the accuracy of the nuclear cross sections. In a recent study, self-consistent nuclear models based on multiple scattering theory that include the option to study relativistic kinematics were developed for the prediction of nuclear cross sections for space radiation applications. The aim of the current work is to use uncertainty quantification to ascertain the validity of the models as compared to a nuclear reaction database and to identify components of the models that can be improved in future efforts.
doi_str_mv 10.1016/j.nimb.2016.12.009
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subjects Algorithms
Elastic differential cross section
Fluence
Lippmann–Schwinger equation
Nuclear cross sections
Radiation transport
Reaction cross section
Risk
Shields
Space radiation
Uncertainty quantification
title Validation of elastic cross section models for space radiation applications
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