Contextual Isotope Ranking Criteria for Peak Identification in Gamma Spectroscopy Using a Large Database
Abstract
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.
Keywords
Cite
@article{arxiv.2206.11441,
title = {Contextual Isotope Ranking Criteria for Peak Identification in Gamma Spectroscopy Using a Large Database},
author = {Alexis Aguilar-Arevalo and Xavier Bertou and Carles Canet and Miguel A. Cruz-Pérez and Alexander Deisting and Adriana Dias and Juan Carlos D'Olivo and J. Francisco Favela-Pérez and Estela A. Garcés and Adiv González Muñoz and Jaime Octavio Guerra-Pulido and Javier Mancera-Alejandrez and Daniel José Marín-Lámbarri and Mauricio Martínez-Montero and Jocelyn Monroe and Sean Paling and Simon Peeters and Paul R. Scovell and Cenk Türkoglu and Eric Vázquez-Jáuregui and Joseph Walding},
journal= {arXiv preprint arXiv:2206.11441},
year = {2022}
}
Comments
12 pages, 7 tables, 7 figures