TY - BOOK
T1 - Modeling Urban Scenarios & Experiments: Fort Indiantown Gap Data Collections Summary and Analysis
AU - Archer, Daniel E.
AU - Bandstra, Mark S.
AU - Davidson, Gregory G.
AU - Cleveland, Steven L.
AU - Garishvili, Irakli
AU - Hornback, Donald E.
AU - Johnson, Jeffrey O.
AU - McLean, M. S. Lance
AU - Nicholson, Andrew D.
AU - Patton, Bruce W.
AU - Peplow, Douglas E.
AU - Plionis, Alexander A.
AU - Quiter, Brian J.
AU - Ray, Will R.
AU - Rowe, Andrew J.
AU - Swinney, Mathew W.
AU - Willis, Michael J.
PY - 2017
Y1 - 2017
N2 - This report summarizes experimental radiation detector, contextual sensor, weather, and global positioning system (GPS) data collected to inform and validate a comprehensive, operational radiation transport modeling framework to evaluate radiation detector system and algorithm performance. This framework will be used to study the influence of systematic effects (such as geometry, background activity, background variability, environmental shielding, etc.) on detector responses and algorithm performance using synthetic time series data. This work consists of performing data collection campaigns at a canonical, controlled environment for complete radiological characterization to help construct and benchmark a high-fidelity model with quantified system geometries, detector response functions, and source terms for background and threat objects. This data also provides an archival, benchmark dataset that can be used by the radiation detection community. The data reported here spans four data collection campaigns conducted between May 2015 and September 2016.
AB - This report summarizes experimental radiation detector, contextual sensor, weather, and global positioning system (GPS) data collected to inform and validate a comprehensive, operational radiation transport modeling framework to evaluate radiation detector system and algorithm performance. This framework will be used to study the influence of systematic effects (such as geometry, background activity, background variability, environmental shielding, etc.) on detector responses and algorithm performance using synthetic time series data. This work consists of performing data collection campaigns at a canonical, controlled environment for complete radiological characterization to help construct and benchmark a high-fidelity model with quantified system geometries, detector response functions, and source terms for background and threat objects. This data also provides an archival, benchmark dataset that can be used by the radiation detection community. The data reported here spans four data collection campaigns conducted between May 2015 and September 2016.
KW - 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
U2 - 10.2172/1410932
DO - 10.2172/1410932
M3 - Commissioned report
BT - Modeling Urban Scenarios & Experiments: Fort Indiantown Gap Data Collections Summary and Analysis
CY - United States
ER -