Numerical Analysis of LiF:Mg,Cu Thermoluminescence Using A Modified Mayhugh Model

Sakurai, Takao; Kitajima, Toshikazu

doi:10.1093/oxfordjournals.rpd.a031643

Cited by 3 publications

(1 citation statement)

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“…Very recently Sakurai [7] developed an efficient method by which one can determine the intrinsic trapping parameters, namely the trap depth E, the frequency factor f , the transition coefficient for electrons becoming trapped in the conduction band β, the coefficient of electron recombination transition in the conduction band with holes in the recombination centre γ and the concentration of trapped electrons in the disconnected trap M [8]. Subsequently the method has been successfully applied to the dosimetric peak of LiF:Mg,Cu [9].…”

Section: Introductionmentioning

confidence: 99%

The determination of intrinsic trapping parameters of a thermoluminescence peak of BeO

Sakurai

Gartia

1996

J. Phys. D: Appl. Phys.

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It has been shown that a thermoluminescence (TL) peak of BeO cannot be fitted with a numerically generated glow peak involving only three trapping parameters, namely trap depth, frequency factor and order of kinetics. The peak can be fitted with a TL peak numerically generated by the exact solutions of the basic differential equations. This enables one to determine the five important intrinsic trapping parameters: trap depth, frequency factor, retrapping probability, recombination probability and the concentration of a disconnected trap, an impossible feat under the kinetics formalism.

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Section: Introductionmentioning

confidence: 99%

The determination of intrinsic trapping parameters of a thermoluminescence peak of BeO

Sakurai

Gartia

1996

J. Phys. D: Appl. Phys.

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Extraction of some trapping parameters from experimental thermoluminescence (TL) signal of alumina (α-Al2O3) using analytical models

Youcefi

Ghamnia

Dahamni

et al. 2021

Chinese Journal of Physics

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Origin of the exponential distribution of traps in glass

Sakurai

Shoji

Itoh

et al. 2001

Journal of Applied Physics

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A recent rigorous analysis of the broad thermoluminescence (TL) peak of a Brown microcline has shown it to be due to an exponential distribution of traps. Incidentally, from the statistical point of view one expects the traps to follow a Gaussian distribution. In order to elucidate the origin of the exponential trap distribution we have analyzed a set of glow peaks of a light green glass recorded under varying conditions of trap filling. The sample upon γ-rays irradiation (dose=7×103 Gy) exhibits a broad TL peak around 191 °C. The broad peak becomes narrower once a thermal cleaning technique is applied to the irradiated specimen. Application of computerized glow curve deconvolution reveals that the broad glow curve is due to the presence of a Gaussian distribution of traps. However, in thermally cleaned glow curves the distribution of traps is found to be exponential. This shows that the exponential distribution of traps results from the deeper tail portion of the Gaussian distribution.

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Numerical Analysis of LiF:Mg,Cu Thermoluminescence Using A Modified Mayhugh Model

Cited by 3 publications

References 0 publications

The determination of intrinsic trapping parameters of a thermoluminescence peak of BeO

The determination of intrinsic trapping parameters of a thermoluminescence peak of BeO

Extraction of some trapping parameters from experimental thermoluminescence (TL) signal of alumina (α-Al2O3) using analytical models

Origin of the exponential distribution of traps in glass

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