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Neutron tomography simulation by MAVRIC/Monaco code.

N Benaskeur1, M Hachouf1, F Kharfi2

  • 1Nuclear Research Centre of Birine, BP 180, Ain Oussera, Djelfa, Algeria.

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|February 8, 2018
PubMed
Summary
This summary is machine-generated.

This study validates the MAVRIC/Monaco code within the SCALE6.1 package for simulating neutron transmission and tomography. The simulation accurately predicts experimental data for neutron-absorbing materials, confirming its reliability.

Keywords:
Beam hardeningMAVRIC/MonacoMesh tallyNeutron transmissionSCALE6.1

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Area of Science:

  • Nuclear Engineering
  • Computational Physics
  • Materials Science

Background:

  • Accurate simulation of neutron interactions is crucial for nuclear applications.
  • Neutron beam hardening affects shielding and imaging accuracy.
  • Validation of computational tools against experimental data is essential.

Purpose of the Study:

  • To validate the MAVRIC/Monaco module (SCALE6.1) for neutron transmission and tomography simulations.
  • To assess the impact of neutron beam hardening on calculations.
  • To compare simulation results with experimental data for neutron-absorbing materials.

Main Methods:

  • Utilized the MAVRIC/Monaco module integrated with the SCALE6.1 package.
  • Performed simulations for various neutron-absorbing materials.
  • Compared simulated neutron transmission data with experimental measurements.

Main Results:

  • Demonstrated the capability of MAVRIC/Monaco for neutron tomography simulation.
  • Showcased the effect of neutron beam hardening on shielding and reconstruction.
  • Achieved good agreement between experimental and calculated neutron transmission values.

Conclusions:

  • The SCALE6.1 package, including MAVRIC/Monaco, accurately simulates physical data analogous to experimental measurements.
  • The validated code is reliable for neutron tomography and shielding calculations.
  • Confirms the utility of computational tools in nuclear research and development.