Kernel-based Gaussian process for anomaly detection in sparse gamma-ray data

Romanchek, Gregory R.; Liu, Zheng; Abbaszadeh, Shiva; Lund, ed., Austin

doi:10.1371/journal.pone.0228048

Title: Kernel-based Gaussian process for anomaly detection in sparse gamma-ray data

Journal Article · 22 January 2020 · PLoS ONE

DOI: https://doi.org/10.1371/journal.pone.0228048 · OSTI ID:1593507

; Liu, Zheng;

; Lund, ed., Austin

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Research Organization:: North Carolina State Univ., Raleigh, NC (United States)

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

Grant/Contract Number:: NA0002576

OSTI ID:: 1593507

Journal Information:: PLoS ONE, Journal Name: PLoS ONE Journal Issue: 1 Vol. 15; ISSN 1932-6203

Publisher:: Public Library of Science (PLoS)Copyright Statement

Country of Publication:: United States

Language:: English

References (14)

An automated background estimation procedure for gamma ray spectra Tervo, R. J.; Kennett, T. J.; Prestwich, W. V. Nuclear Instruments and Methods in Physics Research, Vol. 216, Issue 1-2 https://doi.org/10.1016/0167-5087(83)90351-4	journal	October 1983
Background estimation for gamma-ray spectrometry Burgess, Donald D.; Tervo, Richard J. Nuclear Instruments and Methods in Physics Research, Vol. 214, Issue 2-3 https://doi.org/10.1016/0167-5087(83)90612-9	journal	September 1983
A comparison of simple algorithms for gamma-ray spectrometers in radioactive source search applications Jarman, Kenneth D.; Runkle, Robert C.; Anderson, Kevin K. Applied Radiation and Isotopes, Vol. 66, Issue 3 https://doi.org/10.1016/j.apradiso.2007.09.010	journal	March 2008
Statistical methods applied to gamma-ray spectroscopy algorithms in nuclear security missions Fagan, Deborah K.; Robinson, Sean M.; Runkle, Robert C. Applied Radiation and Isotopes, Vol. 70, Issue 10 https://doi.org/10.1016/j.apradiso.2012.06.016	journal	October 2012
Information driven localisation of a radiological point source Ristic, Branko; Gunatilaka, Ajith Information Fusion, Vol. 9, Issue 2 https://doi.org/10.1016/j.inffus.2007.06.004	journal	April 2008
Automatic model selection for the optimization of SVM kernels Ayat, N. E.; Cheriet, M.; Suen, C. Y. Pattern Recognition, Vol. 38, Issue 10 https://doi.org/10.1016/j.patcog.2005.03.011	journal	October 2005
Background estimation in experimental spectra Fischer, R.; Hanson, K. M.; Dose, V. Physical Review E, Vol. 61, Issue 2 https://doi.org/10.1103/PhysRevE.61.1152	journal	February 2000
Naturally occurring radioactive materials and medical isotopes at border crossings Kouzes, R. T.; Ely, J. H.; Geelhood, B. D. 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515) https://doi.org/10.1109/NSSMIC.2003.1351967	conference	January 2003
Discrimination of naturally occurring radioactive material in plastic scintillator material Ely, J. H.; Kouzes, R. T.; Geelhood, B. D. IEEE Transactions on Nuclear Science, Vol. 51, Issue 4 https://doi.org/10.1109/TNS.2004.832286	journal	August 2004
Poisson Statistical Methods for the Analysis of Low-Count Gamma Spectra Kirkpatrick, John M.; Young, Brian M. IEEE Transactions on Nuclear Science, Vol. 56, Issue 3 https://doi.org/10.1109/TNS.2009.2020516	journal	June 2009
Kernel-Based Machine Learning for Background Estimation of NaI Low-Count Gamma-Ray Spectra Alamaniotis, M.; Mattingly, J.; Tsoukalas, L. H. IEEE Transactions on Nuclear Science, Vol. 60, Issue 3 https://doi.org/10.1109/TNS.2013.2260868	journal	June 2013
Sparse On-Line Gaussian Processes Csató, Lehel; Opper, Manfred Neural Computation, Vol. 14, Issue 3 https://doi.org/10.1162/089976602317250933	journal	March 2002
Spatial-temporal modeling of background radiation using mobile sensor networks Liu, Zheng; Abbaszadeh, Shiva; Sullivan, Clair Julia PLOS ONE, Vol. 13, Issue 10 https://doi.org/10.1371/journal.pone.0205092	journal	October 2018
Double Q-Learning for Radiation Source Detection Liu, Zheng; Abbaszadeh, Shiva Sensors, Vol. 19, Issue 4 https://doi.org/10.3390/s19040960	journal	February 2019

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