activity
20192021
collaborators

5 papers

physics.soc-ph2021

An analysis of gamma-ray data collected at traffic intersections in Northern Virginia

Nathan Hoteling, Eric T. Moore, William P. Ford +2

Gamma-ray spectral data were collected from sensors mounted to traffic signals around Northern Virginia. The data were collected over a span of approximately fifteen months. A subs…

physics.data-an2020

Transfer Learning in Automated Gamma Spectral Identification

Eric T. Moore, Johanna L. Turk, William P. Ford +2

The models and weights of prior trained Convolutional Neural Networks (CNN) created to perform automated isotopic classification of time-sequenced gamma-ray spectra, were utilized…

physics.app-ph2019

An Application of CNNs to Time Sequenced One Dimensional Data in Radiation Detection

Eric T. Moore, William P. Ford, Emma J. Hague +1

A Convolutional Neural Network architecture was used to classify various isotopes of time-sequenced gamma-ray spectra, a typical output of a radiation detection system of a type co…

eess.SP2019

Threat determination for radiation detection from the Remote Sensing Laboratory

William P. Ford, Emma Hague, Tom McCullough +2

The ability to search for radiation sources is of interest to the Homeland Security community. The hope is to find any radiation sources which may pose a reasonable chance for harm…

physics.data-an2019

A Comparison of Adaptive and Template Matching Techniques for Radio-Isotope Identification

Emma J. Hague, Mark Kamuda, William P. Ford +2

We compare and contrast the effectiveness of a set of adaptive and non-adaptive algorithms for isotope identification based on gamma-ray spectra. One dimensional energy spectra are…