2017
DOI: 10.1016/j.nimb.2017.10.016
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Relativistic three-dimensional Lippmann-Schwinger cross sections for space radiation applications

Abstract: Radiation transport codes require accurate nuclear cross sections to compute particle fluences inside shielding materials. The Tripathi semi-empirical reaction cross section, which includes over 60 parameters tuned to nucleon-nucleus (NA) and nucleus-nucleus (AA) data, has been used in many of the world's best-known transport codes. Although this parameterization fits well to reaction cross section data, the predictive capability of any parameterization is questionable when it is used beyond the range of the d… Show more

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Cited by 5 publications
(2 citation statements)
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“…Moreover, total fragmentation cross section models can be used for normalizing and anchoring parametric models, such as DDFRG [12,13,119]. Werneth et al [146][147][148][149][150] developed a relativistic (kinematics) multiple scattering theory (RMST) for the prediction of reaction, elastic, total, and elastic differential cross sections for space radiation-relevant reactions. The fundamental nuclear constituents of the MST are defined as the nucleons, and the quark structure of individual nucleons is not considered.…”
Section: Modelingmentioning
confidence: 99%
See 1 more Smart Citation
“…Moreover, total fragmentation cross section models can be used for normalizing and anchoring parametric models, such as DDFRG [12,13,119]. Werneth et al [146][147][148][149][150] developed a relativistic (kinematics) multiple scattering theory (RMST) for the prediction of reaction, elastic, total, and elastic differential cross sections for space radiation-relevant reactions. The fundamental nuclear constituents of the MST are defined as the nucleons, and the quark structure of individual nucleons is not considered.…”
Section: Modelingmentioning
confidence: 99%
“…relativistic three dimensional LS model (LS3D) agrees best with experimental data. Additional model improvements led to LS3D predictions of the reaction cross sections that were of the same fidelity to data as the Tripathi parameterizations [150]. In order to improve computational efficiency, a momentum-space formulation of the Eikonal approximation was developed.…”
Section: Modelingmentioning
confidence: 99%