DocumentCode :
2875656
Title :
Investigation of Source Detection Algorithms for Gross Counting Portal Monitors
Author :
Wahl, C.G. ; Alderson, D. ; Pibida, L.
fYear :
2007
fDate :
6-8 Feb. 2007
Firstpage :
1
Lastpage :
2
Abstract :
In recent years, heightened security concerns have prompted increased interest in radiation portal monitors, instruments capable of detecting, and in some cases identifying, gamma-ray and neutron-emitting radioactive material passing through them. Along with efficient and reliable physical detectors, such monitors need software capable of analyzing the resulting signals in order to effectively catch weak radioactive sources. The software should be able to distinguish between the sometimes subtle signals due to weak sources and the varying background. After investigating several possible source-detection algorithms, a program has been developed to locate signals from weakly radioactive sources in real time. By including corrections for background suppression due to trucks shielding the detector and changing background levels, this program is capable of detecting significantly weaker sources than current software. The limitations of this method will also be discussed.
Keywords :
gamma-ray detection; neutron detection; physics computing; radiation monitoring; radioactive sources; radioactivity; background suppression correction; gamma-ray radioactive material; gross counting portal monitor; neutron-emitting radioactive material; physical detector; radiation portal monitor; radioactive source; source detection algorithms; trucks shielding; Algorithm design and analysis; Detection algorithms; Fluctuations; Gamma ray detection; Gamma ray detectors; Portals; Radiation detectors; Radioactive materials; Synthetic aperture sonar; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors Applications Symposium, 2007. SAS '07. IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0678-1
Electronic_ISBN :
1-4244-0678-1
Type :
conf
DOI :
10.1109/SAS.2007.374368
Filename :
4248490
Link To Document :
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