Simulated Performance Of Algorithms For The Localization Of Radioactive Sources From A Position Sensitive Radiation Detecting System (COCAE)

TL;DR

This paper evaluates algorithms for localizing radioactive sources using a portable detector, focusing on source direction and distance estimation through simulation across various energies and positions.

Contribution

It introduces and tests algorithms for source localization and distance estimation using a position sensitive radiation detector in simulated scenarios.

Findings

Algorithms accurately estimate source direction.

Distance estimation methods show consistent results.

Simulations cover a wide energy range and source positions.

Abstract

Simulation studies are presented regarding the performance of algorithms that localize point-like radioactive sources detected by a position sensitive portable radiation instrument (COCAE). The source direction is estimated by using the List Mode Maximum Likelihood Expectation Maximization (LM-ML-EM) imaging algorithm. Furthermore, the source-to-detector distance is evaluated by three different algorithms based on the photo-peak count information of each detecting layer, on the quality of the reconstructed source image as well as on the triangulation method. These algorithms have been tested on a large number of simulated photons in a wide energy range (from 200keV up to 2MeV) emitted by point-like radioactive sources located at different orientation and source-to-detector distances.