Contextual Isotope Ranking Criteria for Peak Identification in Gamma Spectroscopy Using a Large Database

Bibliographic Details
Title: Contextual Isotope Ranking Criteria for Peak Identification in Gamma Spectroscopy Using a Large Database
Authors: Aguilar-Arevalo, Alexis, Bertou, Xavier, Canet, Carles, Cruz-Pérez, Miguel A., Deisting, Alexander, Dias, Adriana, D'Olivo, Juan Carlos, Favela-Pérez, J. Francisco, Garcés, Estela A., Muñoz, Adiv González, Guerra-Pulido, Jaime Octavio, Mancera-Alejandrez, Javier, Marín-Lámbarri, Daniel José, Martínez-Montero, Mauricio, Monroe, Jocelyn, Paling, Sean, Peeters, Simon, Scovell, Paul R., Türkoglu, Cenk, Vázquez-Jáuregui, Eric, Walding, Joseph
Source: IEEE Transactions on Nuclear Science, 2022
Publication Year: 2022
Subject Terms: Physics - Computational Physics, Nuclear Experiment, Physics - Instrumentation and Detectors
More Details: Isotope identification is a recurrent problem in gamma spectroscopy with high purity germanium detectors. In this work, new strategies are introduced to facilitate this type of analysis. Five criteria are used to identify the parent isotopes making a query on a large database of gamma-lines from a multitude of isotopes producing an output list whose entries are sorted so that the gamma-lines with the highest chance of being present in a sample are placed at the top. A metric to evaluate the performance of the different criteria is introduced and used to compare them. Two of the criteria are found to be superior than the others: one based on fuzzy logic, and another that makes use of the gamma relative emission probabilities. A program called histoGe implements these criteria using a SQLite database containing the gamma-lines of isotopes which was parsed from WWW Table of Radioactive Isotopes. histoGe is Free Software and is provided along with the database so they can be used to analyze spectra obtained with generic gamma-ray detectors.
Comment: 12 pages, 7 tables, 7 figures
Document Type: Working Paper
DOI: 10.1109/TNS.2022.3159175
Access URL: http://arxiv.org/abs/2206.11441
Accession Number: edsarx.2206.11441
Database: arXiv
More Details
DOI:10.1109/TNS.2022.3159175