Strategy for fitting source strength and reconstruction procedure in radioactive particle tracking

Area of Science:

• Nuclear Engineering
• Fluid Dynamics
• Measurement Science

Background:

• Radioactive Particle Tracking (RPT) is crucial for analyzing reactor flow dynamics.
• Accurate RPT measurements depend on optimal source strength and reconstruction procedures, which are not well-defined.
• Existing methods lack a clear strategy for selecting key RPT parameters.

Purpose of the Study:

• To develop and apply an original strategy for optimizing Radioactive Particle Tracking (RPT) setups.
• To determine appropriate source strength and sampling time intervals for specific RPT configurations.
• To enhance measurement accuracy and ensure compliance with the ALARA principle in RPT system design.

Main Methods:

• Utilized Monte Carlo simulations to model RPT system behavior.
• Developed a novel strategy for fitting source strength and sampling time to RPT setups.
• Investigated the impact of different reconstruction procedures on measurement accuracy.

Main Results:

• The proposed strategy successfully optimizes RPT setups for accurate flow dynamic measurements.
• Demonstrated that adjusting the reconstruction procedure significantly improves measurement accuracy.
• Validated the strategy's effectiveness in implementing the ALARA principle for RPT design.

Conclusions:

• The developed strategy provides a robust method for designing and configuring RPT systems.
• Optimized RPT setups lead to more accurate and reliable flow dynamic data.
• The approach facilitates safer RPT system design by adhering to the ALARA principle.