Bayesian Methods for Radiation Detection and Dosimetry

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We performed work in three areas: radiation detection, external and internal radiation dosimetry. In radiation detection we developed Bayesian techniques to estimate the net activity of high and low activity radioactive samples. These techniques have the advantage that the remaining uncertainty about the net activity is described by probability densities. Graphs of the densities show the uncertainty in pictorial form. Figure 1 below demonstrates this point. We applied stochastic processes for a method to obtain Bayesian estimates of 222Rn-daughter products from observed counting rates. In external radiation dosimetry we studied and developed Bayesian methods to estimate radiation doses to an ... continued below

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Groer, Peter G. September 29, 2002.

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Description

We performed work in three areas: radiation detection, external and internal radiation dosimetry. In radiation detection we developed Bayesian techniques to estimate the net activity of high and low activity radioactive samples. These techniques have the advantage that the remaining uncertainty about the net activity is described by probability densities. Graphs of the densities show the uncertainty in pictorial form. Figure 1 below demonstrates this point. We applied stochastic processes for a method to obtain Bayesian estimates of 222Rn-daughter products from observed counting rates. In external radiation dosimetry we studied and developed Bayesian methods to estimate radiation doses to an individual with radiation induced chromosome aberrations. We analyzed chromosome aberrations after exposure to gammas and neutrons and developed a method for dose-estimation after criticality accidents. The research in internal radiation dosimetry focused on parameter estimation for compartmental models from observed compartmental activities. From the estimated probability densities of the model parameters we were able to derive the densities for compartmental activities for a two compartment catenary model at different times. We also calculated the average activities and their standard deviation for a simple two compartment model.

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INIS; OSTI as DE00801527

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  • Other Information: PBD: 29 Sep 2002

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  • Report No.: DOE/ID/13766
  • Grant Number: FG07-99ID13766
  • DOI: 10.2172/801527 | External Link
  • Office of Scientific & Technical Information Report Number: 801527
  • Archival Resource Key: ark:/67531/metadc737333

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  • September 29, 2002

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  • Oct. 19, 2015, 7:39 p.m.

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  • Jan. 3, 2017, 1:48 p.m.

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Groer, Peter G. Bayesian Methods for Radiation Detection and Dosimetry, report, September 29, 2002; United States. (digital.library.unt.edu/ark:/67531/metadc737333/: accessed September 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.