A Methodology for Determining the Concentration of Naturally Occurring Radioactive Materials in an Urban Environment-Reference-Cited by-同舟云学术

A Methodology for Determining the Concentration of Naturally Occurring Radioactive Materials in an Urban Environment

Published:2018-05-22 Issue:3 Volume:203 Page:325-335
ISSN:0029-5450
Container-title:Nuclear Technology
language:en
Short-container-title:Nuclear Technology

Author:

Swinney Mathew W.¹^ORCID,Peplow Douglas E.¹,Patton Bruce W.¹,Nicholson Andrew D.²,Archer Daniel E.²,Willis Michael J.²

Affiliation:

1. Oak Ridge National Laboratory, Nuclear Security and Isotope Technology Division, Nuclear Security Modeling Group, P.O. Box 2008, Oak Ridge, Tennessee 37831

2. Oak Ridge National Laboratory, Nuclear Security and Isotope Technology Division, Nuclear Material Detection and Characterization Group, P.O. Box 2008, Oak Ridge, Tennessee 37831

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295450.2018.1458558

Reference23 articles.

1. Multiagency Urban Search Experiment Detector and Algorithm Test Bed

2. A Survey of Radionuclide Contents and Radon Emanation Rates in Building Materials Used in the U.S.

3. D. E. ARCHER et al. “Systematic Assessment of Neutron and Gamma Backgrounds Relevant to Operational Modeling and Detection Technology Implementation,” ORNL/TM–2014/687, Oak Ridge National Laboratory, Oak Ridge, Tennessee (2015).

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Determination of long half-life radioisotopes by mass spectrometry techniques in NORM materials;Radiation Physics and Chemistry;2024-11

2. Surrogate Distributed Radiological Sources—Part I: Point-Source Array Design Methods;IEEE Transactions on Nuclear Science;2024-02

3. Novel algorithm for detection and identification of radioactive materials in an urban environment;Nuclear Science and Techniques;2023-10

4. A Neuromorphic Algorithm for Radiation Anomaly Detection;Proceedings of the International Conference on Neuromorphic Systems 2022;2022-07-27

5. Characterization of the Autoencoder Radiation Anomaly Detection (ARAD) model;Engineering Applications of Artificial Intelligence;2022-05