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

• Autorzy: Peng J. , Dong Z. , Han F. , Han Y. , Dai X.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

OSL decay curves; number of components; Bayesian Information Criterion

• Wydawca: Politechnika Śląska
• Czasopismo: Geochronometria
• Rocznik: 2014
• Tom: Vol. 41, no. 4
• Strony: 334--341
• Opis fizyczny: Bibliogr. 25 poz., wykr.

Twórcy

autor

Peng J.

• Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China

autor

Dong Z.

• Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China

autor

Han F.

• Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining 810008, China

autor

Han Y.

• Lanzhou Center for Oil and Gas Resources, Institute of Geology and Geophysics, CAS, Lanzhou 730000, China

autor

Dai X.

• Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China

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