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Published on: November 16, 2013
Optical model methods of predicting nuclide production cross sections from heavy ion fragmentation
L W Townsend1, C R Ramsey, R K Tripathi
1Department of Nuclear Engineering, University of Tennessee, Knoxville 37996-2300, USA. ltownsen@utk.edu
This study presents a quantum mechanical model for predicting isotope and element production from heavy nuclei fragmentation. The model accurately estimates cross sections, aligning well with experimental measurements for various collision scenarios.
Area of Science:
- Nuclear Physics
- Quantum Mechanics
- High-Energy Physics
Background:
- Calculating isotope and element production cross sections is crucial for understanding nuclear reactions.
- Existing models often require refinement for accurate predictions in heavy nuclei fragmentation.
- Heavy nuclei fragmentation by protons and heavy ions presents complex reaction dynamics.
Purpose of the Study:
- To present quantum mechanical optical potential methods for calculating inclusive cross sections.
- To model the fragmentation of heavy nuclei induced by intermediate- and high-energy projectiles.
- To improve the accuracy of predicting elemental and isotopic yields in nuclear reactions.
Main Methods:
- Utilized a modified abrasion-ablation-FSI (frictional spectator interaction) collision model.
- Treated the abrasion stage as a quantum mechanical knockout process.
- Incorporated electromagnetic dissociation contributions using Weiszacker-Williams theory.
Main Results:
- Developed a quantum mechanical approach for estimating prefragment excitation energies.
- The ablation stage models deexcitation via particle and photon emission.
- Calculated elemental and isotopic production cross sections showed good agreement with experimental data.
Conclusions:
- The presented quantum mechanical optical potential methods provide accurate predictions for heavy nuclei fragmentation.
- The modified abrasion-ablation-FSI model effectively describes the complex processes involved.
- This approach enhances the predictive power for nuclear reaction cross sections across various conditions.
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