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Machine Learning and Neutron Sensing in Mobile Threat Detection


Date: Wednesday, March 22, 2017
Time: 1:30 pm - 2:30 pm
Location: 308 Pasqua Engineering Building

Webcast Link

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John Sparger
Postdoctoral Researcher
Oak Ridge National Laboratory


A proof of concept neutron/gamma-ray mobile threat detection system was constructed at Oak Ridge National Laboratory. This device, the Dual Detection Localization and Identification (DDLI) system, was designed to detect threat sources at standoff distance using neutron and gamma ray coded aperture imaging. This presentation will discuss the theory, development, and operation of the DDLI as well as a study of machine learning alarm algorithms based on a related device, the Large Area Imager.


All students and faculty are invited to attend. UTNE Graduate Students who hold Assistantships or Fellowships are required to attend in person.

Refreshments will be provided in 219 Pasqua immediately following the colloquium.


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