Application of 2D Convex Polygon Partitioning to Radiation Detection

Preetma Kaur Soin; Omar Almaleki; Caroline Shenton-Taylor

doi:10.1109/NSSMIC.2017.8532594

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Application of 2D Convex Polygon Partitioning to Radiation Detection

Preetma Kaur Soin, Omar Almaleki and Caroline Shenton-Taylor

2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), pp.1-3

IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) 2017 (Hyatt Regency Hotel, Atlanta, Georgia, USA, 21/10/2017 - 28/10/2017)

10/2017

DOI: https://doi.org/10.1109/NSSMIC.2017.8532594

Abstract

Art

Shape

Radiation detectors

Two dimensional displays

Detectors

Position measurement

Time measurement

This work details a novel method for the detection of a radioactive source using a single mobile detector. The method involves having the search area split into convex polygons (in this case triangles using Delauney triangulations [1]) but with conditions on triangle size is by the detection parameters of the source and detector. The method is most effective when applied to confined spaces that are irregular in shape and contain a selection of obstacles.

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Title: Application of 2D Convex Polygon Partitioning to Radiation Detection
Creators: Preetma Kaur Soin - Atomic Weapons Establishment, Reading, RG74PR, UK
Omar Almaleki - Atomic Weapons Establishment, Reading, RG74PR, UK
Caroline Shenton-Taylor - University of Surrey, School of Maths and Physics
Publication Details: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), pp.1-3
Conference: IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) 2017 (Hyatt Regency Hotel, Atlanta, Georgia, USA, 21/10/2017 - 28/10/2017)
Publisher: IEEE
Date published: 10/2017
Identifiers: 99535223502346
Academic Unit: School of Maths and Physics
Language: English
Resource Type: Conference proceeding

Application of 2D Convex Polygon Partitioning to Radiation Detection

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