R-matrix approach at the intersection with the statistical model regime
A hybrid R-matrix approach is proposed which combines the pole term decomposition of the R-matrix and a background R-matrix which is based on a coupled-channel pseudo-potential. The pseudo-potential is appropriately chosen in order to recover the observables obtained by the statistical model at the...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2017-01-01
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Series: | EPJ Web of Conferences |
Online Access: | https://doi.org/10.1051/epjconf/201714612030 |
Summary: | A hybrid R-matrix approach is proposed which combines the pole term decomposition of the R-matrix and a background R-matrix which is based on a coupled-channel pseudo-potential. The pseudo-potential is appropriately chosen in order to recover the observables obtained by the statistical model at the energy-onset of its validity. The additional pole terms describe the resonance structure at low energy not attainable in statistical model calculations. Due to its construction the hybrid method allows a smooth transition at the intersection with the statistical model regime. A new R-matrix code based on this hybrid approach was constructed. First applications to n-16O nuclear data between 0.2 and 5.0 MeV are very promising. |
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ISSN: | 2100-014X |