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Published on: July 5, 2016
Experimental verification of spallation inventory calculations
D J S Findlay1, G P Škoro1, G J Burns1
1ISIS, STFC, Rutherford Appleton Laboratory, Oxfordshire OX11 0QX, UK.
Summary
Monte Carlo calculations and gamma-ray spectrometry accurately predicted radionuclide activities in a tungsten target from a proton-driven spallation neutron source. The study found good agreement for cobalt-60 and lutetium-172 inventories.
Area of Science:
- Nuclear physics
- Materials science
- Radiation detection
Background:
- Proton-driven spallation neutron sources are crucial for various scientific applications.
- Accurate characterization of irradiated materials is essential for safety and performance assessment.
- Tungsten targets are used in high-energy physics experiments.
Purpose of the Study:
- To compare Monte Carlo simulation results with experimental measurements for radionuclide activities in an irradiated tungsten target.
- To validate simulation methods for predicting the inventory of radioactive isotopes in spallation targets.
- To assess the accuracy of nuclear data libraries used in simulations.
Main Methods:
- Performing Monte Carlo simulations to model particle interactions and radionuclide production.
- Conducting gamma-ray spectrometry measurements on a highly irradiated tungsten target.
- Analyzing and comparing the calculated and measured activities of specific radionuclides (e.g., 60Co, 172Lu).
Main Results:
- Monte Carlo calculations showed good agreement with experimental gamma-ray spectrometry measurements.
- The radionuclide inventory, specifically for 60Co and 172Lu, was accurately predicted by simulations.
- The findings validate the use of these simulation techniques for irradiated tungsten targets.
Conclusions:
- Monte Carlo simulations are a reliable tool for predicting radionuclide inventories in spallation targets.
- Experimental validation confirms the accuracy of the applied calculation methods and nuclear data.
- This work contributes to the understanding and safe handling of materials in intense radiation environments.
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