Regularized Particle Filter based algorithm for the state estimation of orphan gamma source in real time using a...

Area of Science:

• Nuclear instrumentation
• Radiation detection and measurement
• Geospatial analysis

Background:

• Orphan gamma-ray sources pose detection challenges.
• Accurate localization and quantification are crucial for radiation safety and security.
• Existing methods may require multiple detectors or complex setups.

Purpose of the Study:

• To demonstrate a Regularized Particle Filter (RPF) based algorithm for localizing and quantifying orphan gamma-ray sources.
• To develop a real-time system using a backpack gamma spectrometer and smartphone.
• To assess the algorithm's performance in an open-field environment.

Main Methods:

• Utilized a backpack gamma spectrometer with a NaI(Tl) detector for radiological measurements.
• Developed an Android application integrating RPF, Bluetooth data transfer, and smartphone GPS.
• Conducted experiments with known quantities of Cesium-137 and Cobalt-60 sources.

Main Results:

• The RPF algorithm successfully localized gamma-ray sources within a 10-meter error.
• Source strength quantification was achieved with a 10% error margin.
• Real-time data processing enabled immediate display of source location and strength.

Conclusions:

• The RPF-based system offers a capable solution for orphan gamma-ray source detection and characterization.
• The developed methodology shows promise for radiation mapping in open environments.
• Further research is needed to adapt the system for complex urban settings.