Symbiotic simulation model validation for radiation detection applications
2009 (English)In: PADS '09. ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation, 2009, IEEE Computer Society, 2009, 11-18 p.Conference paper (Refereed)
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 localise a radiation source given accurate measurements of radiation intensities at reference points and a detailed model of the environment. Initial classification and localisation, as well as continuous tracking of a moving radiation source, is considered. The effects of a measurement error and a model error are investigated.
Place, publisher, year, edition, pages
IEEE Computer Society, 2009. 11-18 p.
, Workshop on Principles of Advanced and Distributed Simulation. Proceedings, ISSN 1087-4097
Accurate measurement, Continuous tracking, Detailed models, Detection device, Localisation, Model errors, Radiation detection, Radiation intensity, Radiation source, Radiological dispersal device, Reference points, Simulation model validation
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-153562DOI: 10.1109/PADS.2009.20ISI: 000271642800002ScopusID: 2-s2.0-70350424345ISBN: 978-076953713-9OAI: oai:DiVA.org:kth-153562DiVA: diva2:753185
2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation, PADS '09, 22 June 2009 through 25 June 2009, Lake Placid, NY, United States
QC 201410072014-10-072014-10-062014-10-07Bibliographically approved