Symbiotic Simulation Model Validation for Radiation Detection Applications

Authors:
Heiko Aydt;Stephen John Turner;Wentong Cai;Malcolm Yoke Hean Low;Rassul Ayani
Affiliations:
-;-;-;-;-
Venue:
PADS '09 Proceedings of the 2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation
Year:
2009

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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.