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2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation (2009)
Lake Placid, New York, USA
June 22, 2009 to June 25, 2009
ISSN: 1087-4097
ISBN: 978-0-7695-3713-9
pp: 11-18
ABSTRACT
Detection of radiological dispersal devices (RDDs) is important because of their potential for destruction and psychological impact on the affected population. These devices leave a clear trace which can be followed when using appropriate detection devices. Geiger counter devices provide data regarding the radiation intensity. However, this is not enough information to pinpoint a radiation source. Neither can this information be directly used to classify the radiation source. We describe a method using symbiotic simulation which can be used to classify and localize a radiation source given accurate measurements of radiation intensities at reference points and a detailed model of the environment. Initial classification and localization, as well as continuous tracking of a moving radiation source, is considered. The effects of a measurement error and a model error are investigated.
INDEX TERMS
Symbiotic Simulation, Radiation Detection
CITATION
Heiko Aydt, Wentong Cai, Stephen John Turner, Rassul Ayani, Malcolm Yoke Hean Low, "Symbiotic Simulation Model Validation for Radiation Detection Applications", 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation, vol. 00, no. , pp. 11-18, 2009, doi:10.1109/PADS.2009.20
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