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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.

The European Physical Journal. A, Hadrons and Nuclei
|March 14, 2023
PubMed
Summary
This summary is machine-generated.

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.

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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.