Generation of list-mode digital dataset by Geant4 for comparison of radionuclide standardization algorithm

Area of Science:

• Nuclear Physics
• Metrology
• Computational Science

Background:

• Radionuclide standardization is crucial for accurate activity measurements.
• Algorithm validation through comparisons builds confidence in these measurements.
• Existing methods require reliable datasets for inter-algorithm comparisons.

Purpose of the Study:

• To generate List-Mode Digital Datasets (LMDDs) using the Geant4 toolkit for radionuclide standardization algorithm comparison.
• To validate the reliability and suitability of simulated LMDDs for data analysis.
• To assess the feasibility of using these LMDDs with existing standardization algorithms.

Main Methods:

• Development of three Geant4 models simulating 4πβ(PC)-γ, 4πβ(LS)-γ, and TDCR counting systems.
• Detailed simulation of data acquisition, processing, and output for LMDDs.
• Data quality assessment and feasibility verification of simulated LMDDs using established radionuclide standardization algorithms.

Main Results:

• Successfully generated reliable LMDDs using the Geant4 toolkit.
• Confirmed the suitability of simulated LMDDs for data quality assessment.
• Demonstrated the feasibility of using these LMDDs with existing radionuclide standardization algorithms.

Conclusions:

• The simulated LMDDs generated using Geant4 are reliable and suitable for radionuclide standardization algorithm comparison.
• These datasets offer significant potential for advancing the validation of radionuclide measurement techniques.
• The study provides a foundation for future inter-algorithm comparison studies in metrology.