Symbiotic Simulation Model Validation for Radiation Detection Applications

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.

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.4 Model Validation and Analysis

Additional Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.7 Simulation Support Systems
          Subjects: Environments
      I.6.8 Types of Simulation
          Subjects: Distributed

General Terms:
Algorithms, Design, Performance

Keywords:
Symbiotic Simulation, Radiation Detection