Optimization of the Monte Carlo simulation model of NaI(Tl) detector by Geant4 code

Area of Science:

• Nuclear Instrumentation
• Computational Physics
• Radiation Detection

Background:

• Accurate modeling of sodium iodide (NaI(Tl)) detectors is crucial for reliable radiation measurements.
• Geometrical parameters from manufacturers may differ from actual detector dimensions, impacting simulation fidelity.
• Monte Carlo simulations, particularly with Geant4, are widely used but sensitive to input parameters.

Purpose of the Study:

• To optimize the geometrical parameters of a NaI(Tl) detector model within the Geant4 simulation framework.
• To develop a systematic procedure for refining detector geometry in simulations.
• To minimize discrepancies between simulated and experimental results for NaI(Tl) detectors.

Main Methods:

• Utilized Geant4, a Monte Carlo toolkit, for simulating NaI(Tl) detector response.
• Developed and applied a procedure to optimize detector geometrical parameters.
• Compared simulation outputs with experimental data for validation.

Main Results:

• Achieved good agreement between simulated and experimental values for the NaI(Tl) detector.
• The optimized model demonstrated a maximum discrepancy of 3.96% for full-energy peak efficiency.
• Energy resolution and peak-to-Compton ratio showed discrepancies of 1.69% and 3.50%, respectively.

Conclusions:

• The proposed optimization procedure effectively refines NaI(Tl) detector geometrical parameters in Geant4 simulations.
• Accurate geometrical parameter optimization leads to significantly improved simulation accuracy.
• This method enhances the reliability of Monte Carlo simulations for NaI(Tl) detector characterization.