Open AccessGeneration of Geiger-Muller detector dataset for simulation of radioactive source localization algorithm
Author(s) -
Nur Aira Abd Rahman,
Khairul Salleh Mohamed Sahari,
Nur Athirah Abdullah,
Muhammad Jalal,
Nasri A. Hamid
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1106/1/012007
Subject(s) - detector , algorithm , computer science , gaussian , poisson distribution , sampling (signal processing) , gaussian noise , source code , noise (video) , artificial intelligence , physics , mathematics , statistics , telecommunications , quantum mechanics , operating system , image (mathematics)
Detector dataset in digital data is required to simulate and evaluate a particle filter (PF) algorithm. The PF is used to estimate the position and intensity of unknown hotspots within a region of interest (ROI) from sparse sampling points around the ROI. The dataset will emulate GM measured data at these sampling points. GM radiation detection model, Poisson random variable generator, and Gaussian noise generator were implemented to generate the datasets. Next, using the datasets as input to the PF code, the corresponding output is evaluated for various configuration of hotspot locations and radiation intensities. The resulting detector datasets and the particle filter output were analyzed; and the results are presented in the paper.