Statistical methods for the detection and analysis of radioactive sources
| dc.contributor.author | Klumpp, John, author | |
| dc.contributor.author | Brandl, Alexander, advisor | |
| dc.contributor.author | Johnson, Thomas, committee member | |
| dc.contributor.author | Steinhauser, Georg, committee member | |
| dc.contributor.author | LaRue, Susan, committee member | |
| dc.contributor.author | Givens, Geof, committee member | |
| dc.date.accessioned | 2007-01-03T05:57:26Z | |
| dc.date.available | 2007-01-03T05:57:26Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | We consider four topics from areas of radioactive statistical analysis in the present study: Bayesian methods for the analysis of count rate data, analysis of energy data, a model for non-constant background count rate distributions, and a zero-inflated model of the sample count rate. The study begins with a review of Bayesian statistics and techniques for analyzing count rate data. Next, we consider a novel system for incorporating energy information into count rate measurements which searches for elevated count rates in multiple energy regions simultaneously. The system analyzes time-interval data in real time to sequentially update a probability distribution for the sample count rate. We then consider a "moving target" model of background radiation in which the instantaneous background count rate is a function of time, rather than being fixed. Unlike the sequential update system, this model assumes a large body of pre-existing data which can be analyzed retrospectively. Finally, we propose a novel Bayesian technique which allows for simultaneous source detection and count rate analysis. This technique is fully compatible with, but independent of, the sequential update system and moving target model. | |
| dc.format.medium | born digital | |
| dc.format.medium | doctoral dissertations | |
| dc.identifier | Klumpp_colostate_0053A_12659.pdf | |
| dc.identifier.uri | http://hdl.handle.net/10217/88445 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2000-2019 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.title | Statistical methods for the detection and analysis of radioactive sources | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Environmental and Radiological Health Sciences | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | Doctor of Philosophy (Ph.D.) |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Klumpp_colostate_0053A_12659.pdf
- Size:
- 1.56 MB
- Format:
- Adobe Portable Document Format
- Description: