Radioisotope Identification with List-Mode Gamma-Ray Data

Patel, Lekha; Gonzalez, Efrain Humberto; Kamm, Ryan James; Hill, Aaron J.

doi:10.1080/26941899.2025.2597582

Radioisotope Identification with List-Mode Gamma-Ray Data

Journal Article · Fri Dec 19 00:00:00 EST 2025 · Data Science in Science

DOI:https://doi.org/10.1080/26941899.2025.2597582· OSTI ID:3013897

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Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

This work explores the potential of utilizing temporal data from gamma-ray detectors, known as list-mode data, to enhance radioisotope identification. Traditional identification methods, which rely on full gamma-ray spectrum analysis, often require long dwell times and struggle with spectra containing similarly spaced spectral peaks. We hypothesize that by leveraging the probabilistic nature of nuclear decay and the time-encoded information from decay sequences and interactions with surrounding materials, we can improve classification accuracy over static spectral analysis. This research examines the temporal content of list-mode data through exploratory data analysis via correlation discovery and qualitative distribution analysis. Additionally, we propose a probabilistic classification model that can utilize spectral data, temporal data, or both to determine if the incorporation of temporal information improves radioisotope identification. Our findings suggest that the temporal information present in list-mode gamma-ray data has merit and should be further investigated to develop more robust and optimal methods for utilizing this temporal information in applications requiring radioisotope identification.

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: NA0003525

OSTI ID:: 3013897

Report Number(s):: SAND--2026-15918J; 1781177

Journal Information:: Data Science in Science, Journal Name: Data Science in Science Journal Issue: 1 Vol. 4; ISSN 2694-1899

Publisher:: Taylor & Francis OnlineCopyright Statement

Country of Publication:: United States

Language:: English

References (13)

Practical Gamma-Ray Spectrometry Gilmore, Gordon R. https://doi.org/10.1002/9780470861981	book	April 2008
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems Hand, David J.; Till, Robert J. Machine Learning, Vol. 45, Issue 2, p. 171-186 https://doi.org/10.1023/A:1010920819831	journal	January 2001
Wavelet Analysis of Sodium Iodide Spectra Sullivan, C. J.; Martinez, M. E.; Garner, S. E. IEEE Transactions on Nuclear Science, Vol. 53, Issue 5 https://doi.org/10.1109/TNS.2006.881909	journal	October 2006
Non-negative Matrix Factorization of Gamma-Ray Spectra for Background Modeling, Detection, and Source Identification Bilton, K. J.; Joshi, T. H.; Bandstra, M. S. IEEE Transactions on Nuclear Science, Vol. 66, Issue 5 https://doi.org/10.1109/TNS.2019.2907267	journal	May 2019
An application of CNNs to time sequenced one dimensional data in radiation detection Moore, Eric T.; Ford, William P.; Hague, Emma J. Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV https://doi.org/10.1117/12.2519037	conference	May 2019
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms Dietterich, Thomas G. Neural Computation, Vol. 10, Issue 7 https://doi.org/10.1162/089976698300017197	journal	October 1998
pROC: an open-source package for R and S+ to analyze and compare ROC curves Robin, Xavier; Turck, Natacha; Hainard, Alexandre BMC Bioinformatics, Vol. 12, Issue 1 https://doi.org/10.1186/1471-2105-12-77	journal	March 2011
Quantifying the loss of information from binning list-mode data Clarkson, Eric; Kupinski, Meredith Journal of the Optical Society of America A, Vol. 37, Issue 3 https://doi.org/10.1364/JOSAA.375317	journal	February 2020
GADRAS Detector Response Function. Mitchell, Dean J.; Harding, Lee; Thoreson, Gregory G. https://doi.org/10.2172/1163837	report	November 2014
Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists Park, Seong Ho; Goo, Jin Mo; Jo, Chan-Hee Korean Journal of Radiology, Vol. 5, Issue 1 https://doi.org/10.3348/kjr.2004.5.1.11	journal	January 2004
Radio-Isotope Identification Algorithms for NaI γ Spectra Burr, Tom; Hamada, Michael Algorithms, Vol. 2, Issue 1 https://doi.org/10.3390/a2010339	journal	March 2009
Gamma-ray Spectroscopy in Low-Power Nuclear Research Reactors Pakari, Oskari V.; Lucas, Andrew; Darby, Flynn B. Journal of Nuclear Engineering, Vol. 5, Issue 1 https://doi.org/10.3390/jne5010003	journal	January 2024
Receiver operating characteristic curve: overview and practical use for clinicians Nahm, Francis Sahngun Korean Journal of Anesthesiology, Vol. 75, Issue 1 https://doi.org/10.4097/kja.21209	journal	February 2022

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List-mode data
Poisson process
marked point process
radioisotope identification

Radioisotope Identification with List-Mode Gamma-Ray Data

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References (13)

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