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A coarse Bayesian approach to evaluate luminescence ages

A coarse Bayesian approach to evaluate luminescence ages Abstract This paper develops a simplified Bayesian approach to evaluate a luminescence age. We limit our purpose to the cause-effect relationship between the age and the accumulated dose. The accumulated dose is given as a function of the age and several others parameters: internal radionuclides contents, gamma dose rate, cosmic dose rate, alpha efficiency, wetness, conversion factors, wetness coefficients, fading rate and storage time. The age is the quantity we are looking for. Bayes’ theorem expresses the changes on the probability distribution of age due to the luminescence study. The information before study (prior) comprises what is previously known about the age and the archaeological model (cultural period, stratigraphic relations, type, etc.) as well as the parameters of the physical model. The accumulated dose consists in the data describing the measurement. The various stages of Bayesian approach were implemented using the software WinBugs. Simulated data sets were used in various models. We present various small models representing typical examples encountered in luminescence dating. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Geochronometria de Gruyter

A coarse Bayesian approach to evaluate luminescence ages

Geochronometria , Volume 40 (2) – Jun 1, 2013

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References (50)

Publisher
de Gruyter
Copyright
Copyright © 2013 by the
ISSN
1897-1695
eISSN
1897-1695
DOI
10.2478/s13386-013-0105-x
Publisher site
See Article on Publisher Site

Abstract

Abstract This paper develops a simplified Bayesian approach to evaluate a luminescence age. We limit our purpose to the cause-effect relationship between the age and the accumulated dose. The accumulated dose is given as a function of the age and several others parameters: internal radionuclides contents, gamma dose rate, cosmic dose rate, alpha efficiency, wetness, conversion factors, wetness coefficients, fading rate and storage time. The age is the quantity we are looking for. Bayes’ theorem expresses the changes on the probability distribution of age due to the luminescence study. The information before study (prior) comprises what is previously known about the age and the archaeological model (cultural period, stratigraphic relations, type, etc.) as well as the parameters of the physical model. The accumulated dose consists in the data describing the measurement. The various stages of Bayesian approach were implemented using the software WinBugs. Simulated data sets were used in various models. We present various small models representing typical examples encountered in luminescence dating.

Journal

Geochronometriade Gruyter

Published: Jun 1, 2013

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