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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vilim, R.B. Klann, R. Fink, C. Campos, C. Medley, T. |
| Copyright Year | 2007 |
| Description | Author affiliation: Argonne Nat. Lab., Argonne (Vilim, R.B.; Klann, R.; Fink, C.; Campos, C.; Medley, T.) |
| Abstract | The RadTrac real-time detection and tracking software runs on a laptop computer networked to gamma-radiation detectors. A probabilistic estimate for source position is generated by combining measured count rate data with a first-principles stochastic model for the space and time dependence of count rates and knowledge of detector intrinsic efficiency. Recent development work has focused on improving RadTrac sensitivity in low-count rate situations. A method has been developed for processing count rates by energy according to that part of the energy spectrum with the greatest signal-to-noise ratio. In addition a method has been developed that places constraints on the solution that are physically appropriate when count rates approach background. In both instances experiments with a weak source confirmed the uncertainty in estimated position is reduced. |
| Starting Page | 174 |
| Ending Page | 179 |
| File Size | 4269622 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424410525 |
| DOI | 10.1109/THS.2007.370041 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-05-16 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Uncertainty Gamma ray detectors Decision making Stochastic processes Position measurement Displays Cameras Time measurement Gamma ray detection Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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