A Rapid Reconstruction Method of Gamma Radiation Field based on Normalized Proper Orthogonal Decomposition

TL;DR

This paper introduces a rapid and accurate gamma radiation field reconstruction method using normalized proper orthogonal decomposition and adaptive measurement selection, improving safety assessments in nuclear facilities.

Contribution

The work presents a novel NPOD-based reconstruction algorithm combined with an adaptive measurement mechanism, enhancing gamma field reconstruction accuracy and efficiency.

Findings

Successful simulation-based validation of the method

High accuracy and speed in radiation field reconstruction

Potential for broader application in location optimization tasks

Abstract

When a fault occurs in nuclear facilities, accurately reconstructing gamma radiation fields through measurements from the mobile radiation detection (MRD) system becomes crucial to enable access to internal facility areas for essential safety assessments and repairs. Reconstruction of these fields is difficult because of the uncertainty in the positions and intensities of the gamma sources, the complexity of the gamma distribution, and the physics and radiation hardness constraints on the MRD systems. In this work, a novel reconstruction framework of the gamma radiation is proposed. This system entails a NPOD-based reconstruction algorithm with MRD data, and a variation-based adaptive measurements selection mechanism. Our approach has been thoroughly assessed using extensive simulations, and the results clearly prove its success and efficiency in reconstruction radiation fields accurately and quickly. Furthermore, the designed selection algorithm is also promising for extensive application to other optimization tasks of location selection.