Estimating the number of components in an OSL decay curve using the Bayesian Information Criterion

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• 作者：Jun Peng (1)
  Zhibao Dong (1)
  Fengqing Han (2)
  Yuanhong Han (3)
  Xueling Dai (1)
  
• 关键词：OSL decay curves ; number of components ; Bayesian Information Criterion
• 刊名：Geochronometria
• 出版年：2014
• 出版时间：December 2014
• 年：2014
• 卷：41
• 期：4
• 页码：334-341
• 全文大小：2,380 KB
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• 作者单位：Jun Peng (1)
  Zhibao Dong (1)
  Fengqing Han (2)
  Yuanhong Han (3)
  Xueling Dai (1)
  
  1. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, 730000, China
  2. Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining, 810008, China
  3. Lanzhou Center for Oil and Gas Resources, Institute of Geology and Geophysics, CAS, Lanzhou, 730000, China
  
• ISSN：1897-1695

文摘

The optically stimulated luminescence (OSL) decay curve is assumed to consist of a number of first-order exponential components. Improper estimation of the number of components leads to under-or over-fitting of the curve under consideration. Hence, correct estimation of the number of components is important to accurately analyze an OSL decay curve. In this study, we investigated the possibility of using the Bayesian Information Criterion to estimate the optimal number of components in an OSL decay curve. We tested the reliability of this method using several hundred measured decay curves and three simulation scenarios. Our results demonstrate that the quality of the identification can be influenced by several factors: the measurement time and the number of channels; the variability of the decay constants; and the signal-to-noise ratios of a decaying component. The results also suggest that the Bayesian Information Criterion has great potential to estimate the number of components in an OSL decay curve with a moderate to high signal-to-noise ratio.