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Statistical (n, ) cross section model comparison for short-lived nuclei
R Lewis1,2,3, A Couture4, S N Liddick1,2
1National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, MI 48824 USA.
Calculating neutron-capture cross sections for short-lived nuclei using Hauser-Feshbach codes shows agreement when experimental nuclear level density and gamma-ray strength function are included. Consistent nuclear physics inputs reduce code discrepancies.
Area of Science:
- Nuclear physics
- Computational nuclear science
- Astrophysical nucleosynthesis
Background:
- Neutron-capture cross sections are crucial for understanding nucleosynthesis in stars.
- Experimental measurements are often impossible for short-lived, neutron-rich nuclei.
- Hauser-Feshbach statistical models are widely used for these calculations, but different codes exist.
Purpose of the Study:
- To investigate the systematic uncertainty in calculated neutron-capture cross sections arising from the choice of Hauser-Feshbach code.
- To assess the impact of experimental nuclear data and consistent physics inputs on code agreement.
Main Methods:
- Calculated neutron-capture cross sections for a specific nucleus using three Hauser-Feshbach codes (TALYS, CoH, EMPIRE).
- Performed calculations with default settings, then with experimental nuclear level density (NLD) and gamma-ray strength function (GSF).
- Ensured consistent nuclear structure information and approximations across codes.
Main Results:
- Initial calculations with default settings showed variations between codes.
- Including experimentally obtained NLD and GSF significantly improved agreement between the three codes.
- Consistent treatment of nuclear physics inputs and experimental data across codes is essential for reliable results.
Conclusions:
- Systematic uncertainties in Hauser-Feshbach calculations can be reduced by using consistent nuclear physics inputs and experimental data.
- Careful investigation and documentation of input parameters and physics choices are vital when comparing results from different codes.
- Standardizing data treatment across codes is necessary for accurate neutron-capture cross-section predictions.
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