Data for Training and Testing Radiation Detection Algorithms in an Urban Environment

10.13139/ORNLNCCS/1597414

The US government routinely performs radiological response deployments to search for the presence of illicit nuclear materials (e.g., highly enriched uranium and weapons-grade plutonium) in a specified area. The deployments can be intelligence driven, in support of law enforcement, and for planned events such as WrestleMania, presidential inaugurations, or political conventions. In a typical deployment, radiation detection systems carried by human operators or mounted on vehicles move in a clearing pattern through the search area. Search teams rely on radiation detection algorithms running on these systems in real time to alert them to the presence of an illicit threat source. The detection and identification of sources is complicated by large variation of natural radiation background throughout a search area and the potential presence of localized non-threat sources such as patients undergoing treatment with medical isotopes. As a result, detection algorithms must be carefully balanced between missing real sources (false negatives) and reporting too many false alarms (false positives).The purpose of this data set is to spur innovations in detecting, identifying, and localizing nuclear materials inurban search missions.

Published: 2020-02-05 10:15:37 Download Dataset

Dataset Properties

Field	Value
Authors	Nicholson, Andrew Oak Ridge National Laboratory Peplow, Douglas E Oak Ridge National Laboratory Anderson-Cook, Christine M Oak Ridge National Laboratory Greulich, Christopher R Oak Ridge National Laboratory Ghawaly, James M Oak Ridge National Laboratory Myers, Kary L Oak Ridge National Laboratory Archer, Daniel E Oak Ridge National Laboratory Willis, Michael J Oak Ridge National Laboratory Quiter, Brian J Oak Ridge National Laboratory
Project Identifier	Modeling Urban Scenarios and Experiments (MUSE)
Dataset Type	ND Numeric Data
Subjects	07 ISOTOPE AND RADIATION SOURCES 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY 98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION
Keywords	data competition radiation detection radiation detection algorithm Monte Carlo Particle Transport
Software Needed	Python3, tar
Originating Organizations	Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organizations	National Nuclear Security Administration (NNSA), Office of Nonproliferation and Verification Research and Development (NA-22);Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
DOE Contract	DE-AC05-00OR2272

Acknowledgements

Papers using this dataset are requested to include the following text in their acknowledgements:

*Support for 10.13139/ORNLNCCS/1597414 is provided by the U.S. Department of Energy, project Modeling Urban Scenarios and Experiments (MUSE) under Contract DE-AC05-00OR2272. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility.