Contextual Isotope Ranking Criteria for Peak Identification in Gamma Spectroscopy Using a Large Database
Alexis Aguilar-Arevalo, Xavier Bertou, Carles Canet, Miguel A., Cruz-P\'erez, Alexander Deisting, Adriana Dias, Juan Carlos D'Olivo and, J. Francisco Favela-P\'erez, Estela A. Garc\'es, Adiv Gonz\'alez, Mu\~noz, Jaime Octavio Guerra-Pulido, Javier Mancera-Alejandrez and
TL;DR
This paper introduces new isotope ranking criteria for gamma spectroscopy peak identification, utilizing a large database and fuzzy logic, improving accuracy in isotope detection with a software tool.
Contribution
It presents novel ranking criteria based on fuzzy logic and emission probabilities, along with a software tool that enhances isotope identification in gamma spectroscopy.
Findings
Fuzzy logic criterion outperforms others in isotope ranking.
Emission probability-based criterion shows high accuracy.
The software histoGe facilitates practical spectrum analysis.
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.