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Title: Bayesian Methods for Radiation Detection and Dosimetry

Abstract

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.

Authors:
Publication Date:
Research Org.:
University of Tennessee, Knoxville, TN (US)
Sponsoring Org.:
(US)
OSTI Identifier:
801527
Report Number(s):
DOE/ID/13766
TRN: US0204668
DOE Contract Number:  
FG07-99ID13766
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 29 Sep 2002
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 61 RADIATION PROTECTION AND DOSIMETRY; 62 RADIOLOGY AND NUCLEAR MEDICINE; 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; CHROMOSOMAL ABERRATIONS; COMPARTMENTS; COUNTING RATES; CRITICALITY; DOSIMETRY; NEUTRONS; PROBABILITY; RADIATION ACCIDENTS; RADIATION DETECTION; RADIATION DOSES; RADIATIONS; STOCHASTIC PROCESSES; RADIATION PROTECTION; BAYESIAN ESTIMATION; CHROMOSOME DOSIMETRY; INTERNAL DOSIMETRY

Citation Formats

Peter G. Groer. Bayesian Methods for Radiation Detection and Dosimetry. United States: N. p., 2002. Web. doi:10.2172/801527.
Peter G. Groer. Bayesian Methods for Radiation Detection and Dosimetry. United States. doi:10.2172/801527.
Peter G. Groer. Sun . "Bayesian Methods for Radiation Detection and Dosimetry". United States. doi:10.2172/801527. https://www.osti.gov/servlets/purl/801527.
@article{osti_801527,
title = {Bayesian Methods for Radiation Detection and Dosimetry},
author = {Peter G. Groer},
abstractNote = {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.},
doi = {10.2172/801527},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Sep 29 00:00:00 EDT 2002},
month = {Sun Sep 29 00:00:00 EDT 2002}
}

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